# Master Excel in One Video: Dashboard, Pivot, Power Query & AI – Become a Pro

https://www.youtube.com/watch?v=ihs5Yajk9Vs

[00:00] You want a pro phone or a pro laptop and if you are asked about Excel, you say that you are currently working with the basics.
[00:08] Now, leave the basics and come to a little advanced, whether it is Pivot or Chart Dashboard or KPI, AI tools or your VBA code or should I say your Power Pivot or Dex, all of them will be covered here, so fasten your seat belt and learn a little basic before learning the advanced.
[00:28] So if you are unaware of the basics, then you will get the link in the description, go quickly and check it out, in the video in which I have covered the entire basics of Excel, lakhs of people have seen it, thousands of people have shared it, many people have liked it, so quickly go and check that out too and learn the basics from there and also give feedback on how you liked it.
[00:50] Yes, yes, let's go back to the advanced one, whether it is Pivot or Dashboard, both of these help you in taking decisions.
[00:57] Pivot makes your KPIs and Dashboard makes your visual representation.
[01:02] And these big data are combined by your Power Query and their reporting is yours.
[01:06] Power Prime lets you make a report and not apply formulas, it doesn't happen like this, your DAX formulas are useful for this.
[01:15] Oh it's time now, you will ask whose video to start, so let's not delay any longer, let's start this video right here, let's get started, okay bye.
[01:24] Don't you have to go, watch the video, don't you want to learn advanced Excel?
[01:38] [Music] Let's start from the beginning, what we are going to learn now is pivot table, I will tell you, this part and this video will take you towards advanced to pro, so I am going to go with this assumption that your basics are very clear, you already know a lot of formulas and you.
[02:02] Understand data a little bit, we have already said that if you know the basics, then you don't need to see the last part.
[02:07] But still if you see the last part there, you will get more clarity.
[02:11] There are some formulas which I had done in the last part as well and I will do it here as well and will do its advanced version, so that you will get a lot of clarity.
[02:19] And if any person is watching this video directly, then he can also see it.
[02:22] The other thing is that if you have already done those formulas and now you do not want to repeat, then in such a case you can see the time stamps.
[02:33] You will find it inside the description and by checking it out, you can directly jump to the next topic.
[02:37] And for those who want to see the first part, there is a link in the description for them too, you can check that too.
[02:42] Okay, now what we will talk about is formulas and features.
[02:46] These are the two things that come in Excel, formulas or features.
[02:50] We have already covered a lot of formulas in our first part as well, but there are some formulas that will be repeated here as well because they also come at the advanced to pro level and we are going to see an advanced version of them.
[03:00] So in any.
[03:04] In case, if you have already done those full formulas, then you can check the time stamps inside the description and directly whatever is your next formula, you have to do, you can directly jump to it.
[03:12] And the other thing is that if you have done that thing and now you want to revise here, then you can totally revise it.
[03:18] Now the first thing that we are going to do is we are going to do all the formulas as well, but now what we are going to start with is starting with the pivot table because pivot table was not there at all, so here we are going to gain complete knowledge from basic to advanced.
[03:34] Now what we are going to start with is pivot table.
[03:37] What does pivot mean?
[03:38] What is its overview?
[03:40] First of all we will learn about it.
[03:42] See here as soon as you come to the insert tab and go to table, you have already done the table.
[03:48] Now we will talk about these two options.
[03:50] The worst one is recommended pivottables and the other one is pivotable.
[03:53] Before that we will also have to know a little bit about what pivoting means.
[03:58] What does pivot mean, which we can know by an example.
[04:02] Suppose this is Mr. X.
[04:04] Mr. X opened a business which is ABC Limited.
[04:06] Now.
[04:08] What do you need to take any decision in ABC Limited?
[04:11] What would you need?
[04:12] You would need reports, you would need summarized data.
[04:18] Whatever big data you have prepared, you would need a summarized version of it, so that by looking at it, decisions can be drawn from it.
[04:27] So what do you need for all those things?
[04:29] Reports are created using a pivot table.
[04:32] Pivot tables help you a lot in creating any easy report very easily, that too without applying anything.
[04:38] Formulas: If you don't know any formula, you just have to summarize the data and you don't want to learn more than this, then Pivotable is a master thing that you can learn in Excel, so that you can create reports and you don't have to apply any formula and you don't have to do any math, so it becomes a little easy.
[04:55] Pivoting is a word that you must have heard many times and whatever we are going to read here, we are going to read from a real life world scenario, so I will give you a small example, if you see the shorting, you will be able to relate more, there was a startup, I.
[05:13] I don't remember such a deep story of that startup, but I will tell you the crux.
[05:18] That startup was something like QSR and it means it was in quick service restaurant etc.
[05:26] It used to provide restaurant service, there were food items, now it was started in 2018.
[05:31] It did well in 2019, it was growing, it was growing.
[05:37] Then after that came 2020, we are yours in the Covid year, everybody sat in their homes.
[05:42] When they sat in their homes, there was no labour, no people to eat, no anything, so what will a person do?
[05:46] Obviously, their restaurants have been locked, nothing is working.
[05:51] But a person is not like this, he is building such a big business, so a lot of raw material was kept there.
[06:00] What would be the raw material?
[06:00] What is perishable?
[06:04] Perishable is that which spoils very quickly.
[06:04] Any product of this kind is perishable.
[06:09] So, you have veggies, fruits, a lot of other food, all the stuff that is made from it.
[06:14] Is kept there.
[06:15] Now, it will get spoiled.
[06:16] What should a person do?
[06:17] He will end up throwing everything away.
[06:19] And money is already invested, so this is a huge loss.
[06:22] And basically, if we look at it, if something like this happens, then it is obvious that the business was on the verge of shutting down.
[06:27] So, what did he do there?
[06:28] He looked at his old data.
[06:31] Pivoting.
[06:33] You must have heard many times that many startups that come up around 2020.
[06:38] Whenever they tell a story, they use this word a lot that they did pivoting, which means they summarized their data and checked what they could do next, what is the possibility, they did pivoting to check this.
[06:53] As soon as they checked, they found that look, I have veggies, I have vendors, I have machines, I have people, all of them are at home but I have people as labour.
[07:04] I know that my customer base has changed, my customer is also a foodie, but now their way has changed, the customer who used to come and
[07:16] Sit in my restaurant and eat, now that customer does not want to come to the restaurant, but he can buy anything and eat at home.
[07:26] So what did they do, they used those veggies, they made packaged food using all those ingredients, they put it in a packet, the work they were doing as a restaurant, they put that thing in the packet and where the restaurant would have been, suppose the restaurant is in Delhi, then what would have been its reach, it would have been only till Delhi, only the people of Delhi, the person who is in Delhi could reach, but the package is somewhere else.
[07:50] The package can also go anywhere, whether it is in India or outside India, it can go anywhere around the world.
[07:54] So here their pawning proved to be very effective and proved to be very good and where that business was about to close, that business is growing by 2X, 3X, 4X because now their reach is not limited to just one city, not just a few cities, now they can deliver their goods, their food anywhere.
[08:11] So this.
[08:16] Is the magic of pawning.
[08:16] When you summarize the data and extract such information from it that can help you take decisions, we will call that report a good report and your work will be considered successful there.
[08:27] If you create something that does not make any difference, that is, if that decision, that is, even if the data is not in that report, there will be no change in the decision.
[08:38] So what is the benefit of such a thing?
[08:42] Here we will learn to analyze the entire data, how should we look at the data and how should we work on the data.
[08:47] So that is how we should use this method.
[08:52] It helps in taking decisions because in real world pivoting does not mean that you just learn to create a pivot but it is also very important to know how to use it thoughtfully.
[09:02] So here we are going to talk in great detail.
[09:02] Come on, right now I have given you an overview of the pivot table.
[09:07] Now I will give you an overview of the insert tab because where does the pivot table come from?
[09:12] It comes from your insert tab.
[09:12] So there is a lot of importance of the insert tab.
[09:18] Just apply a nice feature or if you don't call it a feature then apply a trait.
[09:23] Okay, what is its trait?
[09:29] Its trait is that as soon as you insert anything from the insert tab, I will insert a picture and tell you or take a shape, I have inserted a shape, now if I have to make any changes in the shape, then to make changes, I will not go to the insert tab and check, no, alldo, I have covered all these things in my part one, but it is very important to give an overview here, so don't be like why is this happening again, okay, but it is important to understand here, see, so if I have to make any changes in it, then I am not going to the insert tab, what am I doing, I am clicking on it and a new tab opens up, so if you insert anything from the insert tab, then the phenomenon is the same for everyone, they are not copied from the insert tab, that means they are not edited.
[10:16] A separate tab is created for this, no matter what you insert, so as I told you about Pewter table, you know it.
[10:20] Is a group of tables, if you insert anything from here, then a separate tab is created for them as well.
[10:26] You cannot do any editing here, okay, you cannot do it here.
[10:32] Second thing, now I will also proof this thing, later as soon as we create a Pewter, it will be proofed there.
[10:37] Apart from that, I am going to tell you one thing that how are we going to read, we are going to read in stages.
[10:42] How in stages?
[10:46] First of all, we will take short data.
[10:50] I have taken absolutely short data, let me just show it to you, it is a short data, there are very few entries.
[10:55] Inside this we will learn to create Pewter, we will learn all the features inside it.
[11:00] When we have understood something in short, we have done it in detail in short, after that when our intermediate level kind of data will come, it will come, in which there are 1000 entries, I guess and inside this we will do painting.
[11:13] When you have done it in short, then you there will be no problem in doing this, so that's why we will proceed according to this stage.
[11:17] Then you will say that ma'am you have reached the intermediate level, what?
[11:21] About the advanced, so for the advanced I will tell you that we will create a dashboard.
[11:27] In that we will use an advanced kind of data and then create a dashboard by using pivot, okay.
[11:32] So now you say that tie the seat belt, now we are going to explore the new heights of Excel, we are going to explore the new heights of pivot, where we are going to talk about all the advanced later.
[11:43] So let us now start talking about pivot.
[11:47] We have done pivot table, now let's drive a little deep into it.
[11:51] The first you can see that inside the insert tab, inside the table group, you get two options, the first one is recommended table pivot table and the other one is pivot table.
[11:58] What does the recommended pivot table do?
[12:02] It gives you recommendations, for example, suppose you have a very large data and seeing that data your head starts spinning and you think now What should I summarize in this, what should I take out the idea, because if there is no good idea then decision cannot be taken.
[12:15] So in such a case recommended tables come, you have nothing to do.
[12:19] We are going to work on short data first, so I will give an overview of the data, after that we.
[12:23] Will do recommended pivot tables, here you have party name, product name, city, gender, amount.
[12:28] You have to select the entire data with control A.
[12:33] After that click on recommended pivot table, then you get recommendations of different tables here.
[12:38] Read it a little, try to understand a little why a report is made.
[12:43] When you see the first report, you read in it what is that report, count of amount by city, means it is telling by counting.
[12:51] This data is very small, that's why this number is very small.
[12:56] See how much sale has happened in Bengaluru, no, how many times it happened, it has told how many it happened, so this amount will come.
[13:02] Sum of amount by city, it has made the total amount, it has told you that within Bengaluru so many sales have happened but when it comes to the number of times the sale has happened, it means how many times have we sold it, how many times has the product gone there, so you get the count there.
[13:15] You should always see in the data that what is the relevance of a thing, according to that you will understand how you should make the report or.
[13:23] What expectations should be kept in it, as you can see there are many party names and the uniqueness is less, so the uniqueness is less, so we take the party name as well.
[13:32] If there are too many unique ones, we don't take them.
[13:32] If there is a product name, then yes, you can know about it, how much a particular product has been sold, you can know about the city, you can know about the gender, so yes, here you will get all kinds of suggestions, you don't have to do anything.
[13:43] For example, suppose you want this sum, you click on it and you press OK, then what will happen is that another sheet will be created for you, inside which your report is ready, you don't need to do anything, OK, this is your pivot table, the pivot table is ready.
[14:00] I will teach you how to create it from scratch, but I want to tell you one thing in this, which we have already discussed, that if we have to edit anything inside the pivot table, then we don't do it from the insert tab.
[14:09] See, as soon as I click on the pivot, its field list opens here and here two tabs appear on top, the first one is Pivot Table Analyze and the other one is this, there are two things inside the pivot.
[14:21] The table that we have is made from our data and at the same time.
[14:27] It is a table so there is designing inside it.
[14:32] You can see that if we have to change anything inside the data, then we use Pivot Table Analyze and explore all its options.
[14:42] But if I want it to look different, then we use the Design tab.
[14:46] So it has the same things inside as you see in the table, we can use different colors, remove headers, add this, add that, how to represent it, your design tab will help you.
[14:54] And how to show the data, what data to show, the Pivot Table Analyze will help you in that.
[14:59] So now let us learn how to create a basic table and here I just wanted to tell you this much for recommendation because we do not go into too much detail because what we are going to learn here is to learn to create a pivot table from scratch.
[15:14] We will have the same data, on this we will create a pivot table and learn all the features and when all the features are visible, we will switch to our main data.
[15:23] So let us now start creating our first pivot table from scratch.
[15:23] See, we.
[15:27] Have already done an overview of the data.
[15:28] We will do Control A.
[15:30] After doing Control A, we will go to the Insert tab and from here we will click on Pivot Table.
[15:35] Then you get two options.
[15:36] The first one is from table range and the other one is from external data source.
[15:40] Now what does this mean?
[15:41] Suppose if your data is somewhere else and now you have to create a report somewhere else.
[15:46] What does somewhere else mean that the data is in some other workbook and the report you want to create has to be created in some other workbook.
[15:55] So in such a case, you can extract the data from somewhere else from external data source.
[16:00] But right now our data is in the same workbook.
[16:03] So in such a case, we do from table range.
[16:06] We will click on table range.
[16:09] And after that, a window like this comes to you.
[16:12] What does this window say?
[16:13] See, we will read this window a little carefully.
[16:14] The first one is table range.
[16:16] What will you do inside the table range?
[16:17] Let's give a range of your data.
[16:20] Whatever data you have selected, it has automatically come here.
[16:23] That's why I'll first section the data.
[16:26] In any case, if your selection is not already done, then here you have to give the range of your table.
[16:32] Next, what you have to do is to create the pivot table inside a new worksheet or inside an existing worksheet.
[16:43] If you want to create it inside a new worksheet, then you will do a new worksheet, otherwise you will do an existing worksheet.
[16:48] Existing worksheet means that its report should be created in this table itself, on the side here.
[16:52] Now you can notice one thing, as it is in the new worksheet, this location option is off.
[16:57] So the basic thing is that why do you have to give the location, it will be a new worksheet, so there is no mention of location in it.
[17:06] When it comes to location inside the existing worksheet, as soon as you click on existing, a location option gets turned on here.
[17:10] You don't have to do anything, you just have to tell where you want to create your pivot.
[17:15] So you have I have selected it here, suppose you want to create it in this cell, then you can select it.
[17:23] The next option that comes to you is add this data to the data model, but we will not do this now, what is its relevance, what does it mean, we will understand this later, but what we
[17:32] Have done here now is that we have taken the main short data and given a location here, so there is an existing one.
[17:36] I will create it and tell you, after that we will do all the work in the new worksheet, so we have pressed OK and after pressing OK you can see that a pivot table has been inserted here.
[17:44] Then a list has come up, you can see above that your pivot table analyze tab has come, design has come, so from this you have got an idea that your pivot table has been created here, it means it has come here, now you can create it here.
[17:57] If you do not want it, you can right click on it and delete pivot table, it will be deleted.
[18:01] I just wanted to tell you that if you want, you can create it in the existing worksheet also, but now we are going to work in a new worksheet, so what you have to do is select the entire data with Control A, Alt N, your insert key is N.
[18:18] After that for pivot table you have to press V and after that if you want from the table range, then T, so your shortcut key becomes Alt N TV.
[18:27] Alt NVT is created and after that you.
[18:33] Can see here that we have to create a new worksheet, we will directly press OK.
[18:37] In this way a new worksheet has been created which is your sheet number three.
[18:42] I will name it Pivot here, so that we do not have to remember again and again which sheet it is.
[18:47] And I will give it a tab color.
[18:51] Yes this tab color is not looking good, we will give it green color, ok yes better, okay.
[18:58] As soon as you click on pivot, it means you have created a pivot table.
[19:03] You have an overview like this, now inside this overview, let us understand once what things are given.
[19:07] Here you will find all the pivot fields given, see you can also read here pivot table fields.
[19:12] What does it mean, all the headings that are in your data, all those headings will be shown here.
[19:20] After that you will drag it and take it here, you will get four things.
[19:25] You will go putting them inside it, filters column row and value, and after that your table will be created.
[19:30] It will go okay, this is your field list, all the options are above, for once.
[19:35] I will tell you about these four features, what are the things available, so that you understand what is available with you.
[19:44] First is filter, then after that there is column, then there is row and after that there is value, okay.
[19:51] The filter filters are the same as you had set.
[19:56] Suppose you have a lot of data and now you want to know how much sales have happened in each region in each region and if you want to know product wise, then you can keep any one thing in the filter and work like a filter that I want to know about this particular product, like normal filter used to be.
[20:09] What is the column, the same is your A B C D, which means if you want to keep the heading, heading and if something is in the row, then the heading of the row will come, the heading of that will come in the row, okay.
[20:24] There is always an amount inside the values, any quantitative amount you want to write on which the formula gets automatically applied later, then you keep such a thing inside the values, okay.
[20:33] Let's go now this pivot, there is not much to write inside it.
[20:39] so we will go directly by understanding, writing makes it a little engaging,
[20:43] but please
[20:46] read it with a little attention, okay, now I will tell you, as you
[20:53] have seen all these things, what are pivot table fields, first of all you can see
[20:57] party name, product name, city, gender, amount, the way these are given, as
[21:01] in our data, given party name, product name, city, gender, amount, okay, so
[21:04] you have come to know one thing, these are all the headings, here you
[21:08] have come to know these four features, after this here you have this setting option, you open it
[21:13] and click, after that you get three to four views, how do you get the views,
[21:17] right now these are fixed according to me, you don't like to work like this,
[21:22] you have to work in such a way in which your field list is
[21:25] visible in this way, so look here, all your, suppose there are many headings,
[21:30] if you had kept them in the earlier way, then the headings would have ended below. You
[21:34] had to scroll and check it 12 times. In such a case, you can set it like this.
[21:38] All your things have come here. If you want to check in some other way, you
[21:42] just have to see the fields. There are a lot of fields. You just have to see the fields. You can check just
[21:45] the fields. You just have to see the areas . What has been done
[21:48] in which areas. So, you can also just see the areas. Let's take some time.
[21:52] Sometimes you have seen all these areas, if you
[21:56] want to see only the areas section wise, then you can click here, in this way your areas
[22:01] appear, the most feasible I think is that if we are doing basic work, then
[22:06] this pattern is absolutely accurate, you can work in it,
[22:11] after that you get another option, as you can see that this
[22:14] is the party name, the product name, the city, the gender, the amount, all this is given exactly as it
[22:18] was given in your data, so if you now have a very big data
[22:24] in which there are 50 headings, 50 columns, then here 50 things will be written
[22:30] in such a case and you will not remember that after the product name, the city is written
[22:34] and after that gender is written, so in such a case,
[22:39] the sorting that has been done for now, by default, the sorting that comes is Sort in the
[22:43] data source order, you can convert it to A to Z, so see, the amount is at the top. Now what will happen
[22:47] is that suppose you want to search for gender, then you know that
[22:52] you can search for gender in G, if you want to search for discount, then you can go to D and you
[22:58] will get discount, so it is easy to move when you have many fields,
[23:03] when there are many headings, if you do not have many headings, then you
[23:06] can go with the sort in the data source order, if you can see all the things, then there
[23:10] is no problem in it, it is totally up to you, as you find feasible, as you
[23:15] find comfortable, you can do it in that way, now let us start creating the pivot table, see
[23:19] what we have to do now, we are going to drag each thing and bring it here to the field,
[23:24] but if you do not understand which thing to drag where, then
[23:28] at the initial level you can just check these tick boxes, you
[23:34] keep checking it and after that it will automatically fill for you whatever you
[23:38] want to fill, when you start understanding things, then you can drag it yourself,
[23:43] let us first of all give our data We have seen that after that the question is
[23:47] that I want to know for how much I sold a particular product in my business,
[23:51] that means I want to know the total, so I turned on the product, so it
[23:55] has automatically taken it in the amount here, after that obviously we want to know the amount,
[23:59] I clicked on it, then see it
[24:03] has automatically taken it in the values here and here in the values it is not just written as amount, it is written as sum of
[24:07] amount, so here we can directly see what
[24:11] is the total of the computer, what is the total of the laptop, what is the total of the speaker, now think one thing, if you
[24:16] were not doing this thing from the pit, then which formula would you have to use, so if
[24:21] after thinking this you are going to say the answer is sum if, then the answer is absolutely correct because
[24:26] we could have done this work by using sum if, but think and see, if we used sum if then we would have known,
[24:31] so here this thing has happened directly, that is why I said that if you think
[24:36] that I do not know how to make formulas, I only know how to summarize. If you know how to
[24:39] do it, you can do it directly. Suppose you want to know about the city, you
[24:44] can turn it off. If you turn off the product name from here, then the sum of amount appears.
[24:48] That is your total sale. Think about it. Only the sum of amount is left and the sum of all
[24:53] is the same. So you can call it total sale. You turn on the city from here. So it will
[24:58] tell you the sales in a particular city. How many sales are there in Bengaluru, how
[25:02] many sales are there in Chennai, how many sales are there in Delhi and how many sales are there in Mumbai.
[25:06] It has told the total. Now your question will come that ma'am, the first
[25:11] thing that as soon as you click on it, click outside, this field list
[25:15] goes up. When you click on it, it turns on. Now you will have a question that
[25:20] ma'am, tell me one thing, that you have found out how much product has been sold and then you have found out
[25:25] how much a particular city has sold. If I want to know both these things, that
[25:29] how much a particular product has been sold in a particular city, then can I
[25:32] know this? Yes, you can definitely know. Yes, it is a simple thing, what you want to ask me
[25:37] is that can we select these two things, so yes
[25:42] you can definitely do that, if you want, you can open it in this way, both these things have come here,
[25:46] you do not want to see it in this way, you can also drag it here and take it as per your wish,
[25:50] see, it has recommended it as you turned it on, if you want
[25:54] to present it in some other way, then you can do it that way, so here you
[25:58] I found out that borough is the city and laptop is your computer is your product. So in borough
[26:04] computer was sold this much, laptop was sold this much, speaker was sold this much and total sale was this much.
[26:08] In Chennai this computer was sold this much, laptop was sold this much, speaker was sold this much and total sale
[26:13] was this much. In this way you can find out if you wanted you could have
[26:17] kept them together. What would happen if you kept them together? In borough computer was sold this much, laptop was sold this much and
[26:22] speaker was sold this much and your total would come here. After that Chennai then Delhi
[26:27] and Mumbai. In this way now we have seen the columns. As soon as
[26:32] I take it to the column, if I took the product name in the column then
[26:35] every heading of the product name was created. If I took the city
[26:39] then every heading of the city was created. So you understand column for heading that if
[26:45] you have entered something in the column then heading will come in this manner, if you have entered in the row then
[26:50] headings of this manner will come in this manner. Your data will be presented in this manner. So
[26:54] I will tell you one logic of this. Whenever you have something You feel that the amount
[26:59] is more, the amount is more in the sense number wise like party names,
[27:04] you have more party names, so if you
[27:08] are using party names in any case in any report, then don't go for the column, if you do it in the column then
[27:12] how many parties are there, how much data will go to the side, then that is not feasible,
[27:16] in such a case you put it in the row, here we have three product names and the column
[27:20] for city name is four, so I would like to put the city in the row and it
[27:24] will seem a little feasible in the column, apart from this you can do one more thing, what can you do, suppose
[27:28] now you want to go to gender also, you open it, after turning it on, gender also
[27:32] comes, it has been taken in the row, it is here in the column, but no, if you
[27:36] want to take it in the column also, then look, it will be divided in this way, which is like how big
[27:40] a pawt has become, now if you see it, it is a little difficult for you to understand, so to make it a little
[27:45] easier, let's do one thing, we will apply it in our filters in gender.
[27:49] There is no such scenario to apply within the filters
[27:52] that if there is more data then I will explore it here or if there is less data then
[27:57] I will fix it here, there is no such boundation here it is totally up
[28:01] to you that how you like it, inside the filter we basically
[28:05] want to put that thing on the basis of which we want to do some work like I want to know
[28:09] how much sales did the male make and how much sales did the female make to the female, so from here you
[28:13] do this for a second sorry gender gender, after that you can see here above,
[28:18] a box has been created, you will click here, both of these will come to you,
[28:22] both your genders were male and female, you have to check female, you can click ok, only female
[28:27] data has come, if you want to check male, then you can check male, only male
[28:30] data has come from here, if you have to choose multiple filters,
[28:34] for now there are not so many filters here, suppose if I wanted, I
[28:38] could have applied some more filters here You can drag it one more time. After dragging it one more time,
[28:42] I have placed the product name here. Suppose I want to choose more than one item.
[28:45] Right now, I have chosen computer and it has appeared. If I want to choose more than one
[28:49] item, I will select multiple items here and this dropdown
[28:53] will be created here. That means these check boxes will be created in the same way as they
[28:56] come under your normal filters. Now you can open it. You have selected laptop and computer
[29:00] and clicked OK. So it has been created in this way. Now it
[29:05] is showing you multiple items which is your computer and laptop. Now you pick it up and
[29:09] place it here in the product name. Your filters are sorted. In this way, a normal basic pivot
[29:13] table is created. I will remove all these things. Let us
[29:17] start working with a basic pivot table. So that, we have to learn more things. Now, let
[29:22] me tell you one more basic thing. You saw, I had told you that as soon as you click on pivot,
[29:26] two tabs are created for you. The first one is pivot table. Analyze and the other one is
[29:31] design. So when you go to Pivot Table Analyze, there is an option here. Look,
[29:36] now I am clicking on this, my fill list is not appearing. Earlier you
[29:39] were seeing that as soon as you click on this, the field list appears. So sometimes what happens is that your
[29:43] field list gets turned off from here. Here inside the show, you get three options,
[29:48] the field list buttons and the field headers. Now we will show the field headers and the field list buttons.
[29:52] Let us see, first you should understand the field list, what is a field list, whichever
[29:57] table opens on the side, we call it a field list, so generally it
[30:01] opens by clicking on the pivot table, but if you do not want to worry, if it
[30:06] is not opening, then you have to go to your pivot table analyze and from here turn on the field list,
[30:10] as soon as you turn on the field list, this option of yours opens, now
[30:14] look, if you click outside, it goes away and if you click inside, it comes, so in this way
[30:20] your field list is, this is your complete field list, after that you can see
[30:23] these plus minus buttons, what is plus minus, plus means expand, something
[30:28] keeps increasing, keeps increasing, which is your expand and minus means
[30:32] decrease, decrease, decrease, decrease, that is your collapse, so here
[30:37] you can see how your plus and minus, I have taken the product name here, so you
[30:40] can see there is a minus here, if I click on this minus and go here, then
[30:43] it is collapsing, collapsing only It is showing total of Bol, it
[30:47] is showing total of Chennai, it is showing total of Delhi, it is showing total of Mumbai but I
[30:50] want to know more things inside this, suppose I keep more things inside this, I
[30:54] want to know more things inside this, so you click on this, then after that both of these open up, suppose
[30:58] I see this also, what is the total of these two, total of computer, total of laptop, yes
[31:01] you can see, but inside the computer also how much did the male and female buy, this comes,
[31:05] inside the laptop also how much did this come, so what happens with plus, it expands, something
[31:10] opens up and what happens with minus, something closes, now suppose
[31:14] you want to stop this report right here, if you
[31:18] want to remove this plus sign, then if you remove it from here, then this data stops right here,
[31:22] no other person will be able to open something else and see it, as soon as he has to open it, he will have
[31:27] to go to the list and turn on your buttons here, only then he can check,
[31:32] if suppose you want to show only this much of your data, you can turn off the buttons from here,
[31:35] you can keep your data only this much You can show these lines are indicating to you that there
[31:39] is still more data. You can see more data by turning on your buttons because as soon as
[31:44] I delete both these data here, its lines change.
[31:48] Why did these lines come? These lines were indicating to you that there
[31:53] is still some data written inside it which you can see by expanding it. So that is
[31:57] your plus minus button which you can show in this way. After that comes
[32:01] the field headers. Here the sum of amount is coming. Whatever it has totaled is coming
[32:06] but here you can see that the row label is coming written. So when you
[32:10] click on the field headers, in this way the header is what is a header. The
[32:14] heading of something is called header. So here you can remove that header. If you
[32:18] click on it, it will appear. If you want to write something else on it, you can write something else inside it by double clicking.
[32:23] I will write product here or city wise.
[32:28] Let me write the city, I wrote this city, so here the city is written, so
[32:33] whenever you want to edit, see, suppose I have turned off these field headers, after that
[32:37] I want to edit something, I will not be able to do it, because I
[32:41] have given the option in it that I do not need headers at all, I will be able to write on it only when my
[32:44] field headers are on, when I double click on it, then my cursor
[32:49] will go inside and after that I can edit anything in it, so we
[32:53] have learned this basic thing, we have learned very basic about pivots that how
[32:57] can I create pivots, I have prepared a small report, apart from this, I
[33:01] will tell you one more thing that how should you name each of your tables and
[33:06] after that we will know why this work should be done, a little bit, that means in anything,
[33:11] if we get to know the logic that why we are doing a work, how we are doing it, then it
[33:15] becomes easy to do that work, right yes, so let's see, whatever
[33:21] pivot tables we have, I clicked outside. Diya, as soon as you click on this,
[33:25] what happens after clicking on this is that you
[33:29] will go to Pivot Table Analyze, then here on the extreme left you will see that under the Pivot Table Name, an
[33:33] option comes which is Pivot Table Six Pivot Table Six, so just like I
[33:38] had explained in the table that why it is important to name the table, similarly it is very important to give a name here also
[33:42] and when you give the name here, then make sure that the name
[33:47] There should not be any space inside it. If there is a space, it will not take the name. You have created it city wise.
[33:52] Double tap here for a second. Go inside and now
[33:57] start writing. You have created it city wise. So
[34:02] I wrote city report. But if I give a space, it will not be written. I wrote city report. And I
[34:05] pressed enter. So the name has come here. It has come from the name of the city report.
[34:10] Why did we create it? Suppose we will definitely create it in the same sheet later. Now
[34:15] suppose we are creating many pivots in the same sheet. So in such a case, we
[34:21] are creating many pivots. In such a case, it will happen that you will not understand which thing has
[34:26] been extracted from where. Which pivot belongs to what. You
[34:30] will have to see very carefully. If you have given that name, then you will directly see that
[34:34] this is your city report. This is your product name report. This
[34:37] is your gender report. This is your discount report. You can create many reports.
[34:41] You can see anything. Okay, so that's why we give the name. Now I
[34:45] will teach you. As I told you that we can create many pivots, so let's
[34:50] try creating many pivots. So creating many pivots means that we
[34:54] are going to create another pivot here. So one is your normal way, which is a normal
[34:58] thing, you will do Control C and go anywhere and do Control V, then this
[35:02] is another pivot of yours. Now this is a very good way to know whether this is another pivot or the same pivot.
[35:06] As soon as you click on this, you will see Pivot Table Analyze.
[35:10] Then from here, turn on the list. You will see this field. Inside this, there is City and Sum
[35:14] of Amount. Okay, and its name is City Report. But as soon as you click on this,
[35:17] you will also see City and Amount here. But here PivotTable
[35:21] Seven is coming, which is a different pivot. If you want, you can do Product Name here
[35:25] and you can remove City. Now see, if you click on this, there is City below.
[35:29] If you click on this, there is Product Name below. You click outside. So
[35:32] this list goes away, if you click on it, then the list will appear, if you click outside,
[35:36] it will appear, if you click on it, it will appear, okay, so from this you
[35:40] come to know that you have created another pivot, one was the normal way, that we
[35:44] created a pivot by using control C and control V, another way comes to you,
[35:48] you select this data, hold the control, then see your cursor has
[35:52] changed to a plus, you will pick it up and bring it here, then another
[35:56] pivot will be created here, now you can see, when you click on it, the pivot table
[36:00] appears here by writing at, we learned here how we can do multiple pivots and
[36:06] we can do a lot of work right here, but now we
[36:09] have to explore more options, so I will select it, right click and delete pivot table,
[36:12] and I will select it, right click and delete pivot table,
[36:16] now let us explore more options of pivot table analysis If we see,
[36:21] we have to explore some options of Pivot Table Analyze. First of all, you
[36:25] have already seen the name of Pivot Table. We will use the options like on options,
[36:30] here you get the complete settings. We will not do the settings now
[36:34] because it will not come in the basics. So right now you will get confused in terms of settings. And
[36:39] after that, there is an option Show Report Filter Pages. We will also talk about it a little
[36:43] later. After that, you get Active Field. What does Active Field mean?
[36:47] It means whatever you would have clicked, it will be shown here. If I clicked on this,
[36:51] then the sum of amount will come. If I clicked on this, then the city will come. It means which field
[36:55] is open for you, it will be written here in the Active Field. Field Settings. I
[36:59] said the same, we will do the settings later. Expand Field. What does Expand Field mean is that
[37:04] suppose I clicked on this and I want to add anything in it,
[37:08] if I want to expand it, then I can expand it. I just have to
[37:11] click it. Like, I also want to add the product name in it. So I added
[37:15] the work which you could do directly here, options have been given for that here,
[37:19] there would be many such works which we can do directly but
[37:23] options are also available for them, but we will do them directly, if you want to collapse
[37:26] then you can collapse it as well, it is the same work which we were doing directly here, which I
[37:30] have been able to get you to do, after that suppose you get an option here.
[37:34] So you clicked here and this option comes, show detail, what does it do, it
[37:38] gives you the details of the entire data that you have extracted,
[37:43] so as soon as you click on sure detail,
[37:46] another table comes up for you and see, inside it we are told the details of sum of
[37:52] amount, city, bore, because I had clicked on the bore one, you will see, I had clicked on bore,
[37:57] then it told its details, so if you want to know the details of anything,
[38:01] then you directly go to that value and you don't have to do anything, just show
[38:06] detail, then it will come in detail, here it told the details about each party
[38:09] that these are the parties, they have purchased your products, they
[38:14] belong to this city, just because it was city wise, this is male, female and this
[38:17] is your amount, okay, for now I go back to my payment, if suppose
[38:21] I click on Chennai here and after that want to show detail, then it
[38:25] will give me the information according to that, you click on the value, click on first and
[38:29] after that as I clicked, it gave me the details According to Mumbai, now I have given you the sheet
[38:33] that these parties were in Mumbai, they had bought so much product, all these seats
[38:37] have come to Mumbai, gender has come here with you, so whenever you feel that I
[38:42] want to know the complete details of this amount, just because here we
[38:46] are not taking the party name, we are simply taking the product name, city, gender etc.
[38:51] So if you want to drive deeper but do not do all of them, if you
[38:55] do all the party names now, then all of them will come back, if you want to do any particular thing,
[39:00] then you go there and click on detail show details, then all
[39:04] the details will be shown to you, after that I have
[39:08] already done the expand field and collapse field in the group section, the point of ungrouping the group
[39:12] comes here, like suppose you have done anything, then you want to group it, then
[39:17] you will select it and in the group section, you will give it a group name, like
[39:21] suppose you want to give a name to the group, you
[39:25] want to give it a group with the product name. So you have created a group of the product name on this, so a
[39:29] group has been created everywhere, if you want to ungroup it, then you ungroup it and it
[39:33] will go away that is your this, so here we have completed the ungroup, okay
[39:39] , we delete it, ungroup it, the data we wanted has come the way we wanted,
[39:43] I have also removed the product name, our pivot has come back normal, after this you
[39:47] get the option of slicer and timeline, I will tell you about this later, before that we
[39:51] will think about it, I mean we will do sorry ah what is refresh, what is refresh, for example, suppose
[39:57] you have this data right now, okay, from where has this data been created, it is made from main short data, if
[40:01] I delete all the amounts from here, then all the zeros are not zero,
[40:08] all the amounts will not be deleted, for now first of all do one thing, first check your pet,
[40:12] what is the detail of the amount, 1 lakh, I will write it here
[40:16] 1281655, okay, I have written this amount here, now I There
[40:21] I go to main and make some changes only in the bore one. Here I make it zero.
[40:26] I make it zero. So see, changes should come because
[40:31] I have made the three amounts of bore zero. So changes should come in it. So now
[40:35] we go and check in the pivot. The pivot did not change at all. So ma'am this is a problem. No,
[40:41] the pivot changes but it does not change directly. You will have to click on it. You will have to
[40:45] go to Analyze Pivot Table. You will have to refresh. Do Refresh All. Look,
[40:49] this amount has changed. What was this amount and what is this amount? So
[40:54] why did this amount change? Because I have changed three values. If suppose I
[40:58] go back to my data and write any random amount here.
[41:01] I have written these
[41:05] amounts. Okay, I have written these three amounts. Now I come to my pivot.
[41:09] It did not change again. What do I have to do? Click anywhere and
[41:12] go to Analyze Pivot Table. You have to refresh all, it got refreshed and see this amount has changed,
[41:16] so in this way you use refresh here, suppose
[41:21] if you have made any changes in your data later, then you
[41:24] can come here and refresh it, the changes will get reflected in your data, but
[41:28] keep one thing in mind that while creating the pivot we have chosen a data range, if I
[41:33] go there, go inside main data and go here and choose another one like accounts
[41:38] Expert Accounts Expert and here in Accounts Expert also computer has come
[41:45] and we are Haryana based so we write Haryana and write female and we
[41:50] have bought a computer here for this much, okay I have also made it LHP here,
[41:57] now I go to pivot there and after going to pivot I refresh,
[42:00] go to Pivottable and Analyze and do Refresh All, so there are no changes here
[42:06] because we have taken that much range outside the range, if any changes are being made
[42:10] outside the range, I have now added one more row, then those changes
[42:14] will not be reflected in your pivot, if I do the same thing, I select this data,
[42:19] I do one thing, I select it, I hold down Shift and I
[42:22] take it for a
[42:27] second, let's copy it, I copy it and paste it here
[42:34] and from here I delete it, okay now I
[42:39] go to my pivot and till now no changes have been made here, I go and refresh it,
[42:44] after refreshing see, Haryana Another one has come by the name, if
[42:48] I talk about its details, then I will go to show details, so look,
[42:51] it is showing me accounts expert computer lia Haryana female and all this
[42:55] is there, so you can see, I delete it once from the details, so that you
[42:59] do not get confused here and why it happened this way because now you have made
[43:04] any change within the table range, as soon as any change happens within the table range, all these changes
[43:09] will reflect here, but if any change has happened outside the table range, if
[43:13] any change has happened outside the table range, then those changes will not be reflected here, yes now
[43:17] I am telling you that a restriction has been imposed on you because of the table range, so in any
[43:21] case, if you want me to change the table range itself, then you can do that also, you
[43:25] can change the data source here, the data that you have taken,
[43:30] you have given a range here, now you can do one thing,
[43:34] you can push your range a little further, you can push it till here and here you can make it ok.
[43:39] Now your range has been pushed, so whatever blank cells were there here because you
[43:44] have selected till here, the blank cells here have also come now
[43:48] suppose I add one more word here, where PTS CAD Expert,
[43:53] they have taken laptop from us and we mail them from Haryana
[43:58] and write any amount here also, we have written this amount, now
[44:03] we will go inside our pivot table, see inside the pivot table, that name
[44:07] has not come till now, nothing has happened till now, Haryana also has the same value, we
[44:11] refresh it all, so see the value of Haryana has changed, now if I
[44:15] go to Haryana and do show details, then here I see two entries which is
[44:19] Account Accounts Expert and PTS CAD Expert Okay, so in this way we can make any changes, if you feel that I have more data, I
[44:25] have to add more data, then you don't have to do anything, you have to go to data,
[44:29] go to Pivot Table Analyze and change data source, now I also
[44:32] Let me change my data source a little bit.
[44:36] Here, this selection till here, I
[44:41] am keeping its selection only till here. Wherever we were working till now, we were working till here.
[44:44] I have marked it OK. Now you will see that it is gone and your amount
[44:48] has come back to what it was before. So this is how we do all the things. Here on
[44:52] Pavitable Analyze, I have already told you the options of refresh and change data
[44:58] source. Suppose you want to clear something, want to move it, want to select something,
[45:02] then you can do it. Like, I clicked on this, if
[45:05] you want to select the entire table, then you can select from here, if you
[45:09] want to make an end selection, then you can do it directly from here.
[45:14] There is no need to use it here that you click on this, after that
[45:18] you go to the selection and take the values, labels etc., then it has no meaning.
[45:23] If you want to clear something then click clear all here so that it is cleared or
[45:28] we have done sectioned clear filters. If you have cleared the filters then there is no need to do this.
[45:32] Whatever you want to clear, you can delete it directly
[45:36] from here. You will not be able to delete it from here. You just have to do it here directly, that thing
[45:40] will go away anyway. Well, you do not need to do this much, but if you want
[45:45] to delete some particular thing, then you can do it from here, after that field
[45:48] Items and sets, we are going to do this in great detail later, we will not
[45:53] do it now, for now we have done so much in PVT table analyze, let us now
[45:57] talk about slicer, slicer and timeline both
[46:01] are going to learn together, see we have already studied slicer on the timeline of our table,
[46:05] so slicer works exactly the same, what is slicer, suppose you
[46:09] clicked on pivot table here, went to pivot table analyze and added slicer,
[46:13] then all the headings you have here will be visible here, whose slicer you
[46:17] want to show, basically the thing is for filter, that whom you
[46:22] want to filter out, on whose basis you want to show, so in the same way slicer is that
[46:26] on whose basis you want to show, city is already here, so here we will not take city,
[46:30] suppose I took gender and clicked ok, then here I have a
[46:34] slicer created and now I
[46:39] have to adjust the size of slicer a little, so I will zoom it Let me put it in and adjust its size a little and
[46:44] put it here. Now see, I told you how the insert tab works.
[46:49] The insert tab works in such a way that if you insert anything, you
[46:52] cannot make any changes by going to insert. You will click on that thing and
[46:57] a new tab will be created for it and you can make changes inside it. So, in the same way,
[47:00] the tab that has been created here is the tab of the slicer. Here it
[47:06] is now on the basis of gender, so the gender is visible. If you want to turn on any setting of the slicer, then you
[47:10] can change the setting of the slicer directly from here or all these options
[47:14] are also given here, so you can do it from here as well. What is report connection?
[47:17] We will understand this more while creating the dashboard or we will understand later. Apart from this,
[47:22] for now, let us see that if we want to change the color, then we
[47:25] can change its color in this way. Suppose what is the selection pane, there
[47:30] are many slicers here and you can change someone else separately here. If you want
[47:34] to show it to someone else, then you can use it in this way. For now,
[47:38] you normally get an understanding of the slicer. Its usage in detail
[47:42] will come in our main data and dashboard. So there is no need to worry that
[47:46] we need to know more changes. You will know. If you click on female here, then see
[47:50] the date of female is there. If you click on male, then the date of male is there. If you want the data of both, then you
[47:54] can cross the filter from here. Just because the data is of both, then
[47:58] if you cross it, all the filters will be removed. But if you want to make multiple sections,
[48:02] then now you also get the option that if you want to add more slicers, then you can
[48:06] add one more slicer. I added a slicer of product name here and
[48:10] it has been added here. I will attach it here and here we have
[48:15] multiple values. I will make its color green. Okay, now suppose
[48:19] I want to select both computer and laptop, then first of all I
[48:22] will turn on this multiselect option. So see. It has been turned on, now whichever one I
[48:26] select, its section will be created. So it is showing me its section.
[48:30] I want to see the selection of computer, I want to see laptop, I don't want to see speakers.
[48:33] So computer and laptop both are selected. Suppose I
[48:37] want to see only computer, so you can see. You can check female's computer from here.
[48:40] So here you can use the slicer just the way filter is used, in the same way
[48:45] you can use the slicer. What did you use? Suppose I
[48:50] crossed it, then all three are visible. Female has purchased this much in total. But
[48:54] how much computer has female purchased, you will get to know from here. Female one second. Yes,
[48:59] how much computer has female purchased, you will get to know from here. One second, you will get to know from here
[49:04] how much laptop has been purchased. But now you
[49:08] have section of both computer and laptop because you have it open. So you
[49:11] can remove it. So here you will find that there is a section of male here, where there
[49:17] is section of male and after that speakers come, female goes here. So you
[49:20] click on female and after that the female section is the section which is of another color.
[49:25] If
[49:29] we are unable to understand what is visible then we
[49:33] can go to show details here and check whose data it is. It was male data and not female data.
[49:37] We can see that this is male data which is visible in orange color.
[49:40] That is the section, it means the data of males and speakers are showing speakers, so whatever
[49:45] coloured data is there, that is the section, there is selection of speakers, there is section of males,
[49:49] there is selection of females, there is selection of computers, multiple selections have to be made, so here there
[49:52] is selection of computers and laptops, there is section of females, okay, you
[49:56] have to check that by going to analyze pivot table and checking in short details, yes I have
[50:00] corrected the data, after that you can delete it, it
[50:04] has no relevance left now, I don't want to see these details, so I deleted them, okay I
[50:10] don't want to see this also, I deleted it, so we
[50:17] deleted all our details from here, this is how your slicers work, okay you
[50:21] understood multiple selection, single section and all things like this, now when it comes to
[50:26] timeline, what is the name of timeline, timeline timeline, you
[50:33] can learn timeline when there is time in the data and we can see that
[50:36] there is no time in our data right now, so we will not be able to do timeline here, so that's why right now we are doing one
[50:41] thing So let's keep it reserved for our main data so that we
[50:47] can also read the timeline. So what we do is open our design tab. So now we
[50:50] have completed the slicer. Let's see the design tab and complete the slicer.
[50:54] Now let's do one more thing. Let's see the design tab because after this
[50:58] all the options will go to your advance. So what we are going to see here
[51:03] is the design tab for now. Design tab, I
[51:07] had already told you that it would be for designing any table. So first of all, let's do the work.
[51:11] I will delete them here. All
[51:15] the slices are there so that you have space here and you can see it comfortably.
[51:19] So I have deleted this. We will delete this as well. I will zoom in a little.
[51:23] You can see this table here. Now if you want to make any changes in it,
[51:28] if you want to change any color etc., then you will have to go to the design tab. So first of all, let's
[51:32] start it. Let's do one thing. I will add one more field in it. Let me do
[51:36] it, I will take the product name from here and then I
[51:43] will tell you one thing, for 1 second, I just want you to get the total here and
[51:49] then we will go, see, for now you will see the total here, what
[51:54] table have I created, how to create it, I will tell you now, but first you should understand that
[51:59] here you have city and inside it you have two more things which is
[52:03] your product name, so if suppose you do not want the subtotal here, this subtotal means
[52:07] the total of Bengaluru is coming separately, the total of Delhi is coming separately, the total of Haryana is coming separately,
[52:11] the total of Mumbai is coming separately and then the grand total is coming, so if you do not
[52:15] want to show the subtotal, then you can remove them, so see, the totals that were there have been removed, if you
[52:20] want to show them but want to show them at the bottom, then you
[52:24] can show them at the bottom because by default all the top totals come at the top, so
[52:29] suppose you make the top section here,
[52:33] okay, sometimes it does not work. So for now this is not working otherwise
[52:37] your total will go to the top, okay you click here and
[52:42] try it once again, it's okay we will turn it off and after that if we put it on top then it
[52:47] will also be placed on the top, it doesn't matter, so you can put it in this way,
[52:52] all the subtotals, now I remove the subtotals, I don't want subtotals,
[52:56] after that you get the grand total, if you don't want the grand total also sorry if
[53:01] you want to turn off the grand total for rows and columns then you can do this
[53:06] but I will do one thing, I will move the product name here, now you
[53:09] can see some totals are coming here as well and some totals are coming here as well, these
[53:13] are your column totals and these are your daily totals, so suppose you
[53:18] don't want the grand total from here and want to turn it off then you can turn it off for both,
[53:22] here both of yours are turned off, after that if you want to turn them on
[53:26] then you can go to the design tab there itself. I will go to and from here I will turn on the grand tool so that on
[53:31] for row and column are turned on for both but if you want to do it for
[53:35] a single thing, that is if you want to do something for a row or something for a column, then on for rows only,
[53:39] so only for rows, all these columns of yours have been added and
[53:44] if you do it only for columns, then whatever sum is for only the columns, that will come to you.
[53:48] It's totally up to you that how do you want to display your table. This table
[53:52] looks better to me this way, so I can keep it this way. If I
[53:55] wanted something else, I could have done something else directly in it. Next I
[53:59] want to tell you, see, I had kept the product name here and the thing that I had done
[54:03] was to explain to you the meaning of plus and minus. What did I explain that the plus means
[54:08] expansion, it means to expand and the minus
[54:12] means to collapse. So, in the same way, what you are seeing now,
[54:16] collapse means it is closed, all of it is closed. By minus, all of it is closed.
[54:20] So, it means how the impact has happened, how has this toy table become, it has
[54:26] become compact. So, in repeat layout, you have an option here. If you say
[54:31] show in compact form, then you will see it in this form. Then, if you do it
[54:36] in tabular form, then you have made it in tabular form, you open it first and after that
[54:45] you are saying show in tabular form. Look, it has come separately in tabular form.
[54:50] Earlier, if I say compact form, in compact form, it
[54:54] would come below it. What happens in compact form? It has compacted it. It
[54:58] has come below it. Here
[55:04] , the data has come below it. But when we do it in tabular form
[55:10] , it comes to the side, which is very easy to read. So, it has come to the side.
[55:14] See, you can read it easily. After that, if you
[55:18] do it in outline form, then it means that it will remain as it was compact. Look, the borders
[55:23] etc. have not come. It is just that it is now on the outside and not on the inside. When you compact it, it
[55:28] remains like that, but it comes on the inside. But if you want it in the outline outside,
[55:32] then you can show it in this way. After that, repeat all items label, if you want to repeat,
[55:37] that means, look, bore here, do not repeat now. Look, if you
[55:43] want to repeat bore in front of the computer as well as in front of the laptop, first do it in tabular form
[55:47] so that you can understand easily. You have done it in tabular form. Now, you want to write bore
[55:51] here as well. Here also Chennai should be written, here also Delhi should be written, so
[55:56] what can you do in such a case, go to repeat report layout and repeat all item labels,
[56:02] as soon as you click, it will be completely filled,
[56:06] what did I tell you, design tab totally depends on your wish, if you want to do it then do it,
[56:11] if you don't want to do it then don't, there is no such hard and fast rule in this that yes it
[56:15] is mandatory and you have to do it, after that row headers come, like you
[56:20] can see these rows, this is bold, it is automatically bold, if you remove it
[56:24] then whatever formatting is there in it will be removed, if you remove the same column headers,
[56:28] then whatever headings, whatever formatting is there on the column also, it
[56:33] will be removed, banded rows means that on each row there should be colors and colors, like these rows
[56:37] are seen, if you want banded rows, then on each one except one you get colors in this way,
[56:43] if you want to change its color, then you can change its colors also. If you
[56:46] want banded columns, then the columns also get coloured in this way, we
[56:50] can remove them, we don't want them, we can keep a normal colour or keep blue colour,
[56:54] which is fine and this is okay, we are left with one option
[56:58] of blank rows here, suppose you want to insert blank rows after each item, then you
[57:04] can select it like this and this was a group in itself, after that, each row of yours
[57:09] has been inserted, if you want to remove it, then you can also remove it by selecting remove blank line after each
[57:14] item from here, so in this way, now in the report layout, I have these do not
[57:19] repeat items and this way looks better to me, so I
[57:23] will keep my data in this way, so what did you learn here in the design tab, you learned all the totals,
[57:27] if you want to turn it on or off, then you can do it from there,
[57:31] you learned the same thing for grand total as well, after that, how do you want to display the report of the report layout,
[57:35] you have two to three ways, the first one is compact, the other one is
[57:39] tabular And the other one is outline, inside this you can repeat it or you can not repeat it,
[57:43] whatever labels you have, after that you
[57:47] can insert blank rows or even delete them, and after that you have
[57:51] got rows and headers and columns here, from here you get colors, if you
[57:55] want to make any table in any different way, you can make it, see in this way you can make any
[57:58] You can do formatting. I will remove this formatting. It
[58:02] looks better to me this way. So, see here how quickly we
[58:06] have completed our design tab. Now, let us move ahead. What is going to happen to us is going to be
[58:11] a timeline. If I start explaining the timeline with my short data, then it
[58:15] cannot happen. What is this? It is a timeline. It is related to the time. And you can see that
[58:20] there is no time in this data. What does time mean there is no date. There is nothing. So,
[58:25] I cannot explain it from here. That is why now we will switch to our main data.
[58:30] What is my main data? Let us have an overview of the data once. First of all, you have date
[58:34] given. Then month. Then name, category, product name, state, gender, quantity.
[58:40] From here, after that, you get cost, price, purchase, cost, sale, price, profit,
[58:45] status. There are a lot of givens. Okay, so, first of all, look here. Here, date
[58:50] is given. It means we have time given. So, we can easily understand the timeline from here.
[58:55] And we can also understand other expectations related to time here. Month, if there is given in your data
[59:00] then it is good, even if it was not there we would have taken it out, there was no need for it, but
[59:05] if something is given then let it be, it does not matter, okay now you will do control A,
[59:11] go to the insert tab, take pivot table from here, do table range and click OK,
[59:16] then your whole thing will be converted inside a pivot table. Now what you have to do
[59:21] now do one thing, we have to explain the timeline to you, so
[59:25] let's create a basic pivot table, I will keep the category in the range and I
[59:29] will keep the sale price in values and from here I will zoom it and show you that see here our
[59:35] ok, the data that we have created, here inside the range, there must
[59:41] be some blank entry,
[59:46] only then blanks are coming in it,
[59:51] otherwise blanks should not have come, there will be something blank in between,
[59:57] definitely only then blanks are coming in it, but it's okay, we will see here,
[01:00:01] first I will give a name to sheet three, which is your main pivot table,
[01:00:05] so that we remember that we are working in it. Okay, let's give it a color.
[01:00:10] I will go to the tab color and give it blue color. Okay, you will remember it like this. After that, you
[01:00:16] will have a normal pivot. Now, inside this pivot, we have to learn timeline. So,
[01:00:21] to insert timeline, you will have to go to Pivot Table Analyze and then
[01:00:25] insert timeline. Obviously, timeline is according to the date. So,
[01:00:29] you will have to select the date and then click OK. After that, you
[01:00:35] can place it here. By adjusting its size a little, you have placed it here.
[01:00:39] Now, inside this, that is, within time, in what ways can we show our data?
[01:00:45] Let's read a little about it.
[01:00:51] If you are doing any business, then in which financial year you are doing it.
[01:00:54] Right, where does the financial year start and end? It starts from April
[01:01:00] to next March. Okay, this means it is for the whole year.
[01:01:05] Firstly, this is the year, so you can see the data year wise. Secondly, how
[01:01:11] can you see the data quarterly? Now how does a quarter happen? A quarter
[01:01:15] is of 3 months. We call it a quarter of 3 months. So if I say
[01:01:21] we have a total of 12 months, then how much will a quarter come here? Obviously 12/3
[01:01:28] which is four. So we have four quarters in the entire year. Quarter one,
[01:01:32] Quarter two, Quarter three. If I talk about April, May, June, then this would be a quarter in itself.
[01:01:40] July, August, September would be the second quarter. October, November, December
[01:01:46] would be the third quarter. And January, February, March would be the fourth quarter. And this which I have told you
[01:01:51] is in the financial manner, the way we do our accounting. Okay,
[01:01:56] after that you have monthly, if you suppose you want a monthly report, then you can take monthly,
[01:02:01] after that either dates come, you can take dates wise. So dates
[01:02:05] are already the data given, so we do not consider days so much. We will see month wise, we will see quarter wise,
[01:02:09] we will see year wise. Just give me a minute.
[01:02:14] Okay, we will see according to that. Now after that another thing comes that Ma'am, if suppose
[01:02:20] I Even if you want to show it in the report, the timeline will not be used; the timeline
[01:02:24] only shows it; if you want a report based on that time, then you
[01:02:29] have to use something else; we are going to do that also later; so here, we have learnt
[01:02:34] what is a quarter, what is a year, and along with that, how will the timeline work;
[01:02:37] let me tell you one thing, as I just said, financial
[01:02:41] Your financial year runs from April to March,
[01:02:47] so that's why its quarters also start from April. That's why I
[01:02:51] told you that in April, June is the first quarter. But our pivot,
[01:02:55] by default, tells us the quarter. It runs from January to December. It runs from
[01:03:01] January to December. So, according to this, your January to March is going to
[01:03:07] be your first quarter. April to June means April to June is
[01:03:13] going to be your second quarter. After that July to September is going to be your third quarter
[01:03:18] and October to December is going to be your fourth quarter. So, your
[01:03:23] calculations will be like this. Your calculations like January to December
[01:03:29] will not be according to April to March. You
[01:03:33] will have to adjust everything yourself according to that. Now, we
[01:03:38] have learned to insert a timeline here. We had inserted the timeline. So, the way I
[01:03:42] told you how many expectations, I told you the year, I told you the quarters,
[01:03:46] I told you the months and I told you the does. So, as soon as you click on this here,
[01:03:50] If you click on the dropdown , you will get these four expectations, the year, quarter, month and
[01:03:55] dates, according to which you want to see the data, you can see if year wise, then look, it
[01:04:00] has given 2024 and 2025, if you do quarter, then quarter 1 2 3 4 1 2 3 4
[01:04:06] because there will be four quarters in 2024, there
[01:04:11] are four quarters in a year, so 1 2 3 4 and 2025 which is the next year 1 2 3 4, okay, we have 12 months,
[01:04:18] so look, in 2024, from December till now, you can see all these months,
[01:04:24] okay, January, February, March, April, May, June, July, August, September, November
[01:04:29] , all are given, after that, if we see day wise, then these dates appear, if you want
[01:04:33] to see any particular date, if you want to see the 10th, then you can see, okay, after that,
[01:04:37] let's see year wise, in year, you have both, both are of blue colour, one
[01:04:41] is for the timeline. If you want to change anything inside, the timeline
[01:04:46] gets its own tab. I always say that insert anything from the insert tab, then
[01:04:51] there is a separate tab for editing it. So if you want to make it of some other colour, you
[01:04:54] can do that. I have made it of this colour. Other than that, suppose I
[01:04:59] want to see only the total of 2024 of all these, so I clicked on 2024, so see, 2025 has now
[01:05:04] turned grey, which means that it is not selected. 2024 is selected and you have these values. If you
[01:05:08] want to do it for 2025, do it for 2025, then these values have come. Suppose you do not
[01:05:13] want to see it this way, you want to see it quarter wise. Suppose I had just selected 2025, then
[01:05:17] there are four quarters in 2025, so all four are selected. Suppose I want
[01:05:21] to see the second quarter of 2024, then the second quarter has come. If I want to see the third quarter, the third quarter has
[01:05:24] come. Ma'am, if I want to see the second, third and fourth of all three,
[01:05:28] I do not want to see the first. So you just have to drag it at once, what did I do, look, I
[01:05:32] went to two, I clicked on it, I have not removed my finger anywhere and just drag it,
[01:05:38] you can drag it as much as you want, your total
[01:05:43] will be visible till that point, if you want to show a particular thing, then you
[01:05:47] will also get the total of that particular thing, okay, if you want to do it month wise, month wise has come,
[01:05:52] look here what quarter did you select, quarter to quarter to, see
[01:05:56] when I did it in month, what did quarter to come, April, May, June, I had told you,
[01:06:00] January, February, March, so it considers first, let's go
[01:06:04] to quarter, go to the first quarter, now do the months here, look Jan, Feb, March, okay, so
[01:06:09] I have also proved this thing that the quarters that are taken here
[01:06:13] are taken according to your months of January to December and you
[01:06:17] can also know this by doing multiple sections in this way, now suppose you have made the selection and if you
[01:06:21] click anywhere to remove it, then something or the other will come, you need all of these, you are getting troubled,
[01:06:24] all of them There is nothing to select, the main selection that you have made, if you
[01:06:29] cross the box here then everything will be selected at once because by default,
[01:06:33] whenever you add a timeline, everything gets selected, then later you
[01:06:38] start doing it as per your wish, that is, you start filtering, so suppose you
[01:06:42] cross the filter from here, then it will go into the by default form,
[01:06:46] how did it come by default, it came by default in such a way that everything was selected, okay, so
[01:06:51] here we learned how the timeline works inside the timeline.
[01:06:55] If you want to make any changes, go inside the timeline tab and make the changes here. Now
[01:07:00] we will learn about the report connection etc. later. The rest is not that special. The rest of the things
[01:07:05] are just like this. So you have learned the timeline well with us here. What you have to do is
[01:07:09] to take it from here and cross this filter. If you want to select anything, you
[01:07:14] can select from here. Okay, your selection is done. You
[01:07:19] have selected the data properly. It is 2025, so there is no data here. Come to 2024.
[01:07:24] You can come from here from the side. Take the data from here. You will get the data. Now let us
[01:07:30] understand more things in the date format in our next step. Right now, we
[01:07:35] could only see the data from the timeline. Let us see how it can be incorporated in the report.
[01:07:39] Now let us see what we have to do now. Let us do one thing. First of all, let us remove the timeline
[01:07:43] and after that we will also remove our category from here. Now we
[01:07:50] have to create a report which is related to time. I want to know
[01:07:54] how much I sold in a particular quarter. How much did I sell in a month or
[01:07:59] how much did I sell in a particular year, now you are not seeing them separately here, you
[01:08:03] can bring them and drag them and you will get to know, but date is such a thing with which
[01:08:09] we can do all the things, if you add 30 days, that is, all the dates,
[01:08:14] then they will become month, if you add three months, then it will become quarter, if
[01:08:19] you add all the quarters, then it will become year, so all these calculations
[01:08:23] can be done from a single date, that is why all your calculations are done by just dragging the date, if
[01:08:28] you drag the date from here, then here you can see year, quarter,
[01:08:35] month, date, all these things have come here, you had brought them by dragging only the date, see,
[01:08:40] date is written in front of everything, but this calculation has been done automatically and you
[01:08:44] have got a pivot here, now just because there is a filter here, you
[01:08:48] can remove the filter here, clear filter from the year, date, so here you people have come to know,
[01:08:53] well there will be some dates which There will be some blanks for 2023 as well,
[01:08:58] there is some deficiency in the data where there
[01:09:04] will be some dates like this definitely and that is why like these dates, in the same way there is something
[01:09:10] wrong in this date in the data, that is why it is showing us this type of date,
[01:09:16] so let us see the date in our data once, where
[01:09:20] is the mistake, let me just check, ok 25 24 and we turned it on, we turned it on, this
[01:09:28] is in 24 and if we see here, I don't see any default, but still if
[01:09:33] I see, there is no use of looking at the dates here, if there
[01:09:38] is nothing wrong with the months, then
[01:09:46] ok I don't see any blanks here, but in our main pivot we
[01:09:50] also saw blanks that these are blanks, so something must be given, I
[01:09:56] will remove it from here, if I want to remove this particular thing, then I
[01:10:01] should not have gone here and done clear clear all, should have done clear selected, it's my bad, we
[01:10:07] will take the sale price here and After that, we can clear the filters by selecting this and clearing it.
[01:10:12] We cannot remove it directly. Okay, no
[01:10:19] problem, let's leave it for now. And you can see this, you
[01:10:24] can see your data year wise. Okay, here you have given year wise. After that, I
[01:10:28] told you about expand and collapse. Using that, you can see further things as well. If you
[01:10:33] don't want to see year, drag it out and quarter wise will come to you. If
[01:10:37] you don't want quarter, you can drag it and month wise will come. If you don't want date also,
[01:10:42] you want only month, then month. You have removed this expand and collapse thing. So,
[01:10:47] definitely, all these things have come to you directly. Suppose, you
[01:10:52] want quarter, you want to see only quarter wise, then drag the date back, remove
[01:10:56] year, remove month, remove date, then only quarter. This entire table
[01:11:01] is ready for you. So, it is so easy. You haven't done anything. You don't need to do anything.
[01:11:06] You haven't done any calculation. You haven't seen any date. But you
[01:11:10] can do this work directly. But anywhere if you feel that I need to see the date as well,
[01:11:14] suppose someday you want
[01:11:18] to know what work you did on which date in this quarter or if you want to know in a month, then in that case you
[01:11:23] can keep the date here as well, so that you can click on January at any time and
[01:11:26] check how much sales happened in January at which places, but if you feel that
[01:11:31] I don't want to know about the dates at all, then you can remove this date as well. And see.
[01:11:34] Now here there is no expand or collapse so you
[01:11:38] can do this directly. Okay so this is how your data works and this is how you make it.
[01:11:46] I mean whatever reports you have, you can make them time wise. It is your wish. You can
[01:11:51] make them this way. If you want to make this thing with someone else, for example, suppose the product name
[01:11:55] is your product name wise. This is product name wise. We will make your report once
[01:12:00] and inside that, if you want to make your report time wise quarter wise.
[01:12:05] That in which quarter this particular product was sold. In which quarter this particular product
[01:12:10] was sold. So first of all I took the product name. After that
[01:12:14] I have excluded this month. I have brought the date here and I have stretched it here.
[01:12:17] As many times the date is brought here, all the things will appear that many times. You remove the year.
[01:12:22] You remove the month. You remove the date. Move the product name to the top so that
[01:12:27] it is visible because of the product name. If you keep the date at the top, it will appear date wise and inside
[01:12:31] the product names will be visible. But No, I want to see the dates inside the product name. So
[01:12:35] the product name should be visible outside. The one that you want to show outside, keep it on the top.
[01:12:40] From here you can make adjustments. And after that, look, this much
[01:12:44] was sold in quarter one. Car accessories were sold this much in quarter two. This much was sold in quarter three.
[01:12:48] Now tell me one thing. This too is a little difficult to see. So I
[01:12:51] had explained to you the design tab from where I can make it in tabular form. So in tabular form,
[01:12:55] I can see that car accessories, if I see,
[01:12:59] this much has come in quarter one, quarter two, quarter three. Okay, I can also see its grand total here.
[01:13:03] That means all the totals are visible here. You don't want to, you can do all this from the design tab
[01:13:08] as you want. But the thing was that any thing that you
[01:13:13] want to see inside, the thing that you want to show outside, you have to keep it first and the thing that you
[01:13:17] want to show inside, you have to keep it inside. After that, you have to keep it secondary.
[01:13:21] After that, if you want, instead of showing it quarter wise, you want to show it month wise.
[01:13:26] You can also show it. If you want to show it month wise, you can also do it. We pick it here,
[01:13:31] bring it here, take out the quarter, take out the date,
[01:13:36] take out the year, keep the product on top, keep the product on top, month wise it will appear that car
[01:13:41] accessories was sold in June, January, June, September, October
[01:13:45] and so on. You will see different months in each of them.
[01:13:49] You will see the month in which that thing was sold. So in this way we
[01:13:55] can make any report that we want to make according to our time. Here we have easily
[01:14:00] made a report on our time basis without any calculation. Let us
[01:14:04] move ahead now and let us cross one myth. We have learnt a lot about pivot table so
[01:14:09] we are going to remove one myth here. What is the myth that calculation
[01:14:15] cannot be done inside pivot table. We cannot apply any formula on our own. So what is wrong? We can do it
[01:14:20] . To some extent we can apply formulas. So how can we do it? Let us take an example.
[01:14:24] Suppose I remove the date from here for once. And here But if I add
[01:14:29] the purchase cost, then what do we have, the product name, its sale price and
[01:14:34] purchase cost. Now here we have profit given. Suppose you
[01:14:39] don't have profit and you want to calculate it, then generally what is your
[01:14:44] formula for profit, how do you calculate profit? So it is a simple thing.
[01:14:48] Suppose you have a chocolate bar, you sell it for Rs. 100,
[01:14:54] how much did you get at home, how much did you buy it for, how much did you buy it for, here you
[01:15:00] are running your business, it is lying for Rs. 80, so obviously you
[01:15:06] sold a thing worth Rs. 80 to someone for Rs. 100, then the remaining Rs. 20 which you deducted from it, that becomes your
[01:15:10] profit. This is what happens, if suppose I
[01:15:15] remove all the expenses from the sale, which includes your purchase and if you have done anything else,
[01:15:20] packaging, marketing, whatever else, if I remove all that, then the remaining
[01:15:24] profit will remain in the end. Or if we understand it in basic terms, if
[01:15:28] I do sale minus purchase, then my profit will be saved, so we are doing the same thing there, all of us, if
[01:15:33] we have a given profit here, then we can take the profit here and keep it,
[01:15:39] there is no big deal in that, but if you have such data in which there
[01:15:43] is no profit, you have created the data directly in pivot and now it comes to mind that
[01:15:47] I have not taken out the profit in my main data, so what should I do now
[01:15:50] Now you don't need to be nervous while sitting, you can do calculations here,
[01:15:54] to do calculations you have to click anywhere, go to Pivotal Analyze,
[01:15:59] from here you will go to Field Item Set and click on Calculated Field,
[01:16:04] after clicking on Calculated Field, you will see this type of window here,
[01:16:09] first of all, what is field name, what is field name, the headers that you see above,
[01:16:13] these are your field names, so first of all you give the field name, for whom are you
[01:16:17] doing the calculation, if you are doing it for profit, then you have got profit, okay,
[01:16:22] after that we will apply the formula here, now the formula will not be applied in a normal way, it will not
[01:16:25] be applied like this, we can write sale minus purchase ourselves or give the reference of that sale, like
[01:16:30] generally we apply normal formula, whatever things you want to do, you have
[01:16:35] to choose the field from here and then apply it, like now what I want is sale price, I
[01:16:39] took the sale price, I inserted the field, so see, the sale price is coming here written automatically,
[01:16:43] what to do minus What do we have to do? We have to minus the purchase cost. So
[01:16:47] I took the purchase cost and inserted the field. It's done. Now you press OK.
[01:16:52] Calculated field could not be created because another item and field of the
[01:16:57] same name exist. So let's create a new profit here so that a new
[01:17:02] one appears. And I press OK. So look, you have a profit here. Suppose
[01:17:06] you had made this profit here, then you can see that the same profit has come.
[01:17:11] So let's say it was already calculated. It came when I deleted the calculated one. So
[01:17:15] look, this new profit that we have created is based on our own calculations. And it
[01:17:21] is now included in the pivot. It is included in the pivot. Look, the profit has come as per the new one. Even if
[01:17:25] I delete the other things, it will still remain. It has come as a data in itself.
[01:17:30] You can also see here that you have a tab created by the name of profit new.
[01:17:34] You have a heading here because you have I have added the calculated field in it.
[01:17:38] Okay, did you understand how to do that thing? Suppose
[01:17:43] you want to find out something else. You want to find out how much quantity you sold.
[01:17:48] You don't know the quantity, then how to find out the quantity. Generally,
[01:17:53] tell me one thing here. Generally, if I have to find out the amount,
[01:17:59] which is the sale price? What do I have to find out the sale price?
[01:18:03] I have to find out the sale price. Okay, sale price and how would I have found out
[01:18:07] the sale price? Obviously, I must have multiplied the quantity by the sale price, by the particular sale price.
[01:18:14] So, I got the total amount of each product.
[01:18:21] Suppose, I tell you that you buy 10 chocolates and
[01:18:26] the cost of one chocolate is ₹100. Now, for how much did you buy them, then obviously 10 is your quantity
[01:18:31] and 100 is your rate, sorry, the rate
[01:18:38] of each packet is the rate of each packet. This is the total amount that you spent. 1000. So,
[01:18:44] suppose this is the total You have the total spend from the spend, you have the quantity,
[01:18:48] you have to find out the rate, you have to find out the rate, so how can you find it, let
[01:18:53] me apply one more formula for once and tell you, so that you understand, you have to find out the rate,
[01:18:57] for once you keep the sale price, you have the sale price given, there is no profit, I
[01:19:01] am removing it for now, the sale price is given, along with that you have the quantity given, now
[01:19:06] what do you want to find out, look, the sale price is here, the quantity is here, now you have to find out the rate,
[01:19:10] you clicked on this, went to Pivot Table Analyze, went to Field Item,
[01:19:14] went to Calculated Field, now what name do you want to give to it, you have to name the rate, okay,
[01:19:19] here you will start applying your formula, first of all what do you need, how does
[01:19:23] it come out, just now you saw how the sale price was coming out,
[01:19:28] you multiplied the quantity by the rate, look here for a second, I will cross it here,
[01:19:33] multiplied the quantity by the sale price, generally you should understand the formula so that you can understand a little,
[01:19:39] some people, I mean maths is a little weak, right. So that is why I will explain it again,
[01:19:44] if I have to find out the sales, total amount, then what formula have I
[01:19:49] applied, what formula have I applied, I have multiplied the quantity
[01:19:53] by the sales price, okay now I am saying that we are calling the sales price as rate, here
[01:19:59] okay, if now I am saying that I have to find out the rate, the rate is multiplied here, then
[01:20:03] obviously this quantity will go into divide here below, sales divided by quantity
[01:20:08] equals to rate which is your SP, right? So, what did you do to find out the rate
[01:20:15] What is the sale price which is your amount divided by quantity? Okay, so let
[01:20:20] 's do the same thing here. Just so you don't get confused, I
[01:20:24] have first told you the formula. We will go to the potable analyze field, we will go
[01:20:27] to the calculated field, after that you will name it here which is rate
[01:20:32] and here you will start applying your formula. What is the full formula that you have to apply.
[01:20:36] You have to apply the formula. First of all, if you want the sale price to be higher, then take the sale price, okay, so
[01:20:40] insert the field. After that, you have to divide,
[01:20:44] so you will put the slash symbol here. And if you want to divide by quantity, then you will come here,
[01:20:48] select the quantity, insert the field and do that. After that, click okay
[01:20:53] here. So you have the rate here. The rate has come here. Now do one thing
[01:20:59] , you already had the price, do one thing, write it here. Here
[01:21:04] the sum of price has come, here we have found the rate.
[01:21:10] Okay, if I also take the quantity, okay. Quantity is my sum of price and
[01:21:16] quantity if I try here then this multiply by
[01:21:22] this enter then our answer comes which is not wrong there it must
[01:21:29] have been created in some other way quantity into price here sum of price has come sum of
[01:21:33] quantity has come and here instead of taking average sum of price
[01:21:38] we should take average of price because we cannot sum the price of price
[01:21:44] and why has this created a problem for us average of price see
[01:21:50] as soon as we did average of price this has come here because our calculation is price
[01:21:54] we do not multiply by totaling it we do average if
[01:21:59] you are getting confused in this thing then it is okay don't get confused in this I have removed it
[01:22:02] just understand that if you want to calculate anything then you
[01:22:07] can go here and calculate in this way you can easily add that thing inside it you can see
[01:22:12] here one has been added in the name of rate profit new see I have not taken it in
[01:22:15] you If you want to add something to this as well, you could have added it. It comes as a heading. It
[01:22:20] is not like if I remove it later, it will not be visible here. It has
[01:22:24] now become permanent forever. It will be visible here. If your data changes here,
[01:22:29] then your calculation will also keep changing accordingly. Because you have added inflate,
[01:22:33] it is clearly written in inflate that we have to take this sale price divided by
[01:22:36] quantity. So if your sale price changes, if your quantity changes, your data will
[01:22:41] be automatically updated. Okay, so from here we have completely broken a myth.
[01:22:46] Here we have learned in great detail that how we
[01:22:50] can do any calculation in our data by using the calculated field. Now let us
[01:22:55] move ahead and explore a few more options. Then we will move towards the chart and
[01:22:58] work. I will teach you one more thing. In this, I remove these things here.
[01:23:03] Now we will learn. Suppose, instead of the product name, there is a Let's take the category
[01:23:08] so that it becomes easy for us. What you see here is decor,
[01:23:13] electronic fashion. Suppose you do anything related to it,
[01:23:17] like suppose you add date to it, it is visible in every way. Now you
[01:23:22] take your category to the top and it is visible to you in that way. You
[01:23:27] go to the designs tab. Here you make the report layout in tabular form. And from here you
[01:23:33] remove the date. From here you remove the years. You are seeing quarter wise or
[01:23:40] from here you can add the month. You have prepared a report in this way. Okay,
[01:23:45] how have you prepared it? Let me just show it to you. You have prepared it in this way.
[01:23:50] So if you want a separate report of decor or a
[01:23:56] separate report of electronic, then you can do that work. You
[01:24:01] can do any work directly. So first of all you go to Pivot Table Analyze. First of all you
[01:24:05] will need a field list. So turn on the field list on the basis of which you
[01:24:09] have to create a report. You will also have to keep it in the filter, so
[01:24:13] keep it in the filter, here you can create it with the product name, there is no problem,
[01:24:17] you keep the product name and in the filter of the filter you have to keep the category, you
[01:24:22] had to create those reports category wise, so you took the category in the filter, as soon as you
[01:24:26] take it in any filter and go to the option of pivot table analyze, then this
[01:24:30] option which is show report filter pages gets turned on, see I removed it from here.
[01:24:35] Now check it, it will be off, if you want it then keep it in the footer, it
[01:24:41] will be on, if you can keep it in more than one footer, then keep more than one in the footer, there
[01:24:45] is no problem, you click on it, you will see both of them, if you
[01:24:50] remove the month and now you go to the option report filter pages, you
[01:24:55] will see one, according to which you want, you can add as many here as you want, it does not matter, I
[01:24:59] add the month here, I add the name, I add the state, it does not matter,
[01:25:05] you will go here and whichever you select, your report
[01:25:09] will be made according to that, you want category wise, you select the category and click ok, so
[01:25:14] look here below, decor, electronic, fashion have been made separately, this is of fashion, this is of
[01:25:20] yours, decor is of electronic, this is of yours, whatever work you
[01:25:25] would have done in that main pivot, according to that those three different reports have been made, so whenever you
[01:25:30] want to make a report separately, you do not have to do anything, just
[01:25:36] keep it inside your filter, from here Let me delete them. Okay, if you
[01:25:40] keep them inside the filter, then all the reports will be made and displayed separately.
[01:25:45] Okay, did you all understand? So this was another option that I
[01:25:51] wanted to explore in the Pewter table, so that you can create multiple reports. That too
[01:25:56] by doing a small thing, by keeping things in the filter and by going to the options and using the show report filter pages,
[01:26:02] you can create the report in any way. If in any other way, suppose I
[01:26:06] want gender wise, I kept gender here, after that I went to the option and
[01:26:10] did show report filter pages and pressed OK. So look, here below,
[01:26:14] according to male and female, you have got two reports. So in this way, you
[01:26:19] can see in a very easy way. I have told you two examples, so that you have clarity about this thing.
[01:26:23] In this way, we can prepare reports for ourselves, we
[01:26:27] can prepare multiple reports. Now we will see that if we have to do calculations directly inside our data,
[01:26:31] then how can we do it without applying any formula.
[01:26:36] Different kinds of See the calculation, first of all I will do one thing,
[01:26:40] I will remove the date from here, we have kept the product name, okay, I
[01:26:44] will also remove gender from the filter, now it has come here for calculation, let's do one thing,
[01:26:48] let's create a pivot again, I will go to main data here, press control A and
[01:26:52] let's check here once, the data should not come here in this manner, but
[01:26:56] let's check the data till the bottom once, okay, and there is no total here,
[01:27:00] okay, and here we will go to insert,
[01:27:05] go to pivot table, take table range and take a new worksheet, okay, now
[01:27:08] let's take the product name once and see, yes, it is not coming now, so firstly
[01:27:12] our way of selecting the data was wrong, because last time, as far as I remember,
[01:27:16] I had done it by selecting the data from here, so this will make a complete selection
[01:27:20] of the whole sheet, because of this blanks were coming there, but now we
[01:27:25] have done it in the correct way, now I will name it again, main
[01:27:30] pivot, final, okay, give this name Let's give it a color and we can
[01:27:36] give it a different color, we will give it a different color, um, we will color it yellow, yellow
[01:27:43] is fine, right? Now we zoom in a little bit, after zooming, this
[01:27:48] is our pivot, now we add the sale price in it, you must have understood one thing, if
[01:27:53] I want to add the sale price twice, can I do that? Tell me the answer is
[01:27:58] yes or no, we are yes, I can add it twice,
[01:28:03] I can add it thrice as well, even if I want to change its calculation, then I
[01:28:07] can change its calculation from here by going to the value field settings, you know
[01:28:11] I don't need to tell you this thing, okay, now what I have to do is, suppose
[01:28:16] I want to show different types of calculations, if I
[01:28:20] want to show the calculation within this, then I can show it within this, if I want this calculation
[01:28:24] to remain intact and a new calculation comes, then I will have to add it one more time and
[01:28:30] will have to do the calculation within it, okay, first we will change that same calculation Let's see, suppose
[01:28:34] I want to change this calculation, then what will I do, just click anywhere, there
[01:28:38] is no problem, after clicking anywhere, right click and
[01:28:43] come down here, what is written here, show values, inside show values you
[01:28:48] get a lot of options through which you can do different types of calculations
[01:28:53] like percentage of grand total, percentage of column total, percentage of row total, whatever you want
[01:28:58] We have to do this, we are going to do all these one by one, so first of all I did
[01:29:02] percentage of grand total, so in percentage of grand total, this is what it
[01:29:07] means, now you will not be able to understand the meaning here because the data is gone, that is why I said
[01:29:11] for one more time, we will add the sale price, we have come here, we will right click,
[01:29:15] go to show value as, we will do percentage of grand total, so this is what
[01:29:19] it means, it means that this is the total, let me just take the pain, this is the total, this
[01:29:26] total amount that you are seeing, give me 1 second, 1 second, ok, this total amount that
[01:29:33] you are seeing, in this total amount,
[01:29:37] whose contribution is 2.01%, our car accessories, if we see, chair
[01:29:43] has 0.27%, only, if I talk about who has contributed the most in this sale,
[01:29:49] sarees have contributed the most, so I mean how many sarees are being sold,
[01:29:54] after that, if I talk about suits, that means we are doing well in
[01:29:58] apparel Yes, we are selling good cloth. We
[01:30:02] have 35.55% of total sales in sarees. If I talk about 100% sales, out of which 35%
[01:30:07] contribution is of our sarees and 28% is of this. If I talk about 35
[01:30:13] plus 28 which is your 3 and 3 63%, then both of these are taking major portion
[01:30:19] of yours. So if I ask you anywhere that
[01:30:24] what is the hero product of your business, can you tell by looking at it, what is the hero product of your business,
[01:30:29] can you tell or not? Yes, you can tell after looking at this complete detail that
[01:30:35] this is your hero product, after that what is the thing that even if you stop it, it
[01:30:39] will not make much difference in your business. So in such a case you will say that I
[01:30:44] will stop the chair from here, it is of 0.27%, how low is the contribution in this,
[01:30:50] if I talk about that only, it seems to me 1% which is your ear buds, this
[01:30:55] can also be stopped. If I talk more about it, the car Accessories can also be discontinued.
[01:31:00] If you want to discontinue our western dresses for women, you
[01:31:04] can discontinue them as well. From here we can discontinue the speaker. Basically,
[01:31:08] our electronics and decor are not performing well
[01:31:13] comparatively. And if I talk about that, if your fashion category is
[01:31:20] performing well, then you should expand your business in it. Secondly, your
[01:31:25] laptops are selling well. If I talk about it, your home decor items are selling well,
[01:31:30] then you can expand them and you can discontinue these products within these categories.
[01:31:35] So how did you know this? If you knew by looking at these values, then it
[01:31:39] would have been a little difficult to know directly. You would have to look at the values very carefully. But here,
[01:31:44] when it came to percentage, how did you take a decision immediately after looking at the percentage
[01:31:49] that no, no, our saree is working well, our suit
[01:31:53] is working well, our laptop is working well, our home decor is working well
[01:31:57] and these segments are not working well. So, if you do this calculation, If you are getting to do it directly
[01:32:03] then do it, then what are we waiting for, so here we
[01:32:07] can do the calculation directly in this way, now you have understood one or two expectations,
[01:32:12] what did you understand about two expectations, one is that we can do the calculation directly,
[01:32:15] I did not even apply any formula and second thing if you want to show any calculation on the side, that means
[01:32:20] if you want it on the side, then you know that you will have to take the value once more because if
[01:32:24] I had done it inside this, then it would have been converted, by converting it you
[01:32:28] would have come to know directly but the values would have gone, okay, so now we
[01:32:32] will do one more calculation, so we take the sale price once more,
[01:32:37] after taking the sale price, you click on it and after that you right click,
[01:32:41] go to show value edge and percentage of column total percentage of column total what
[01:32:46] is the total of a particular column, then you will get the same answer that percentage of column if
[01:32:52] there were many columns, suppose I would take the column here as well and I will remove the second value
[01:32:58] yes because now You have learned that, yes,
[01:33:04] look, suppose I have a car accessory here, inside which you can see
[01:33:11] male and female, the sale price and sale price
[01:33:15] three are coming here, I will also delete the totals here, wait a second, I went to design and
[01:33:21] turned off the grand total, turned off all the totals from here, okay, now it is showing you that the female
[01:33:28] bought this much car accessory, the male bought this much, it
[01:33:32] is also showing in terms of percentage, it is also showing in terms of percentage, let's add all the totals.
[01:33:43] A on for the rose only. Okay, here I wanted to see this subtotal. So look, if
[01:33:50] I talk in these totals, then here we can talk about these totals. If we want to talk gender wise,
[01:33:55] then the contribution of gender, if I talk about female contribution, in the total,
[01:34:00] the contribution of females is mainly in sarees and here, but the
[01:34:04] contribution of females is 10%. If I want to compare these two, then you can see that 10% of
[01:34:10] your laptops are being bought by females and only 8.64% are being bought by males. If we talk about these totals,
[01:34:16] then your laptop has a weightage of 9.4. If I talk about the entire sale,
[01:34:23] if I talk about the entire sale, then the total is 35.55%, but in which 38%, if I
[01:34:31] talk in this value, then in the total value of saree, 38% is female and
[01:34:36] the rest is male. Okay, so in this way you can also see them separately. Now they are
[01:34:42] separate just because you had taken more than one expectation. I also took out the percentage of different ones.
[01:34:46] That is your percentage of column total. Okay, now I
[01:34:51] will remove this data from here. And I will also remove the total from here. Let
[01:34:56] 's keep the total for now. And I will also remove gender from here. So I
[01:35:00] have this data here. Okay, next what comes to you? Let's take another sale price
[01:35:05] here. Next we are going to see the calculation. On the next calculation, you
[01:35:09] will right click and go to show values and after that comes percentage of row total.
[01:35:13] So percentage of row total will be 100% now. There is no one in the row. But if I
[01:35:18] pick up this gender and place it here, then see, it showed me that the
[01:35:23] portion of female is this much. The portion of male, it will show everyone 100-00 only. So I
[01:35:28] will have to take one more thing here.
[01:35:33] Now I will have to do this. I will remove it from here and take it again. And
[01:35:41] after that we will show here show values percentage of
[01:35:48] row. No, we do not need these values here. Just give me a minute. Ok, I
[01:35:56] made a mistake. We will take the values and values and values and here we
[01:36:03] will take show values percentage of row total. So look, here the total is visible.
[01:36:08] Ok, I have to go to design and convert it into tabular form. So
[01:36:13] look in the tabular form, see how it
[01:36:20] is showing me. And it is
[01:36:27] not able to show me the row total properly. So I keep it here. Yes, it
[01:36:33] is showing fine now. I keep it here now and it will show me fine. And I
[01:36:38] will remove the values from the state. Ok, I need something. Let's take the product name.
[01:36:45] Let's take the product name here. Here we take the category. So look,
[01:36:51] if I talk about car accessories in decor, it has a portion of 78.04 and the rest are not
[01:36:57] kept. And under female, the total of female came here. Now I remove the subtotal
[01:37:03] from here for once. So look, if I see for male, under decor, 21% is coming for male.
[01:37:08] If I talk about chairs then females are not purchasing at all. If I talk about males
[01:37:12] then even males are here just because they were 1% in the total, so they are not buying it at all. Okay
[01:37:17] and I will remove the sale price from here only in terms of percentage. If we
[01:37:21] want to see this one does not have a percentage. Okay fine show value as raw total. Yes,
[01:37:29] okay, if I talk about home decor then the portion of females in it is 63.60.
[01:37:35] In electronics obviously it will be zero in electronics because which
[01:37:39] category it belongs to, it belongs to the decor category and I can see that for males it is 36.40. If
[01:37:44] we talk about saree then in fashion female is coming at 59.02 and here it
[01:37:50] is coming at 40.98 and your total will be 100% because you have only two genders,
[01:37:54] male and female, so its total will come here. Did you understand that when you compare row wise
[01:37:59] You want the total of percentage and here the calculation has been done automatically, you
[01:38:04] haven't done anything, what have you done, you have just placed the things here, just because
[01:38:09] you want the daily total, so shift all the things to the column, so that you
[01:38:14] show them here in daily and now you can get its total here, when we
[01:38:19] wanted it in the column, we shifted all the things to daily and then we
[01:38:24] were able to see their total, so in this way we can see the total by daily also, now suppose I
[01:38:30] remove gender from here, remove category also and keep it as it is and in this
[01:38:35] do another calculation, show value as percentage of percentage of, means what do
[01:38:40] you want to show in comparison of what, product name is your basic field but here you
[01:38:45] want to show on the basis of what, I want to show on the basis of saree, because saree is doing the best,
[01:38:49] if I take saree as 100%, then how much less will all the other products perform in comparison to that
[01:38:54] If I make the value of saree 100%,
[01:38:59] if I show it to be 100% that whatever maximum sales are happening from sarees,
[01:39:04] then if we see in comparison which one is doing better, suit
[01:39:09] is doing well, you can see that it is 80%, that means if I say for saree that I sell sarees for ₹100, if I
[01:39:15] am selling sarees for ₹100, then I am selling sarees for ₹100, so if I have sold 100 sarees, then
[01:39:20] I must have also sold 80 suits, if I have sold 100 sarees, it means
[01:39:25] that I must have sold 26 laptops as well, see 26%, if I have sold 100 sarees, then it
[01:39:30] is a fact that I must have also sold 18 male dresses, if I have sold 100 sarees,
[01:39:35] then it will also mean that I must have sold around 10 or 11 dresses as well, if
[01:39:40] I have sold 100 sarees, then I can say that I have 15 home decor items
[01:39:45] must have also been sold, so what is that item being compared with, saree was taken as base, that is why
[01:39:51] the base field was written there, we took saree as base that if I sell 100 sarees, if
[01:39:55] I am 100%, then instead of understanding it in percentage, understand it this way, you will get better clarity,
[01:40:00] it is given in percentage, you understand it this way that if I
[01:40:05] sell 100 sarees, then on top of that, if I have sold 100 sarees, then it means that I can say that
[01:40:09] 80 suits must also have been sold with it, if I have sold 100 sarees, then I
[01:40:12] can say that 18 male dresses must also have been sold, if I have sold 100 sarees, then on top of that
[01:40:16] I can say that my 26 laptops also got sold, from here my 100 sarees have been sold, so
[01:40:20] I can say that from here automatically 26 laptops also must have been sold,
[01:40:25] okay, so what did you do, made any one calculation its base, made saree
[01:40:30] the base and you saw the rest of the things in its comparison 100 is your base
[01:40:37] If I sell 100 sarees, then how many laptops am I selling, which is 26
[01:40:42] If I sell 100 sarees, then how many suits am I selling, which is
[01:40:45] 80 If I sell 100 sarees, then how much home decor do I sell, which is 15
[01:40:52] So in this way you can do any calculation directly and
[01:40:57] let's see the calculation further, let me just remove it, we will see all the calculations one by one, as many
[01:41:02] calculations as we can do here, in this way we
[01:41:05] will become strong in our pivot and we can do multiple work here and see, wherever
[01:41:10] you have any doubt, then I say that you should
[01:41:14] keep asking one by one, you should consider this session very interactive, you should keep asking one by one here, if you
[01:41:20] keep asking one by one, then what will happen is that you will repeatedly mean suppose
[01:41:25] at the time when you have asked any doubt, after that you
[01:41:29] will get the reply of that thing, so any of your There will be no doubt, it will not go away. Okay, you will definitely
[01:41:34] get a reply. Okay, so you can ask all the things. Let's start here. Now,
[01:41:40] I have to change this in the second calculation. Okay, so we
[01:41:43] see the second calculation. We have come in show value s. We had done percentage of this. Now
[01:41:47] percentage of parent row total. Percentage of parent row total. So, for that,
[01:41:52] we will have to set up the same scenario again. So, we keep this here.
[01:41:57] And here, these were the values. We had to keep other things in the gender wise column.
[01:42:03] And we remove this sale price. And
[01:42:08] let's wait for a second. Let's take one more thing here. So, that
[01:42:13] gives us better clarity about how it is working. And if I suppose
[01:42:20] I keep this here as well, then which is very wrong. And we can see that here,
[01:42:24] we have done percentage of row total. So, whatever your row total was, you
[01:42:29] had calculated the row total in this way. The percentage that has come on the basis of that is You can find out the grand total here.
[01:42:34] If I talk about it, which is 2001%. In this 2001%, 31%
[01:42:42] of your decor is coming for female and this much percentage of decor is coming for male. Now you
[01:42:47] will say that ma'am, if I do not do this calculation like this, but right click and
[01:42:50] show value as percentage of row total, then what would have come out? So see, here
[01:42:56] female is taking 78% of our car accessories and male
[01:43:01] is taking 21% here. That is yours. That is your main thing that in the total of car accessories,
[01:43:08] the 78% portion is of female and the 21% portion is of male. But when we do show
[01:43:14] value as percentage of parent row total, that means car accessory in itself
[01:43:21] has a share of 2.101. You understand this. Let us do one thing, here I will select it, I will
[01:43:28] do a second control E, control C, control V here.
[01:43:31] Let us do that. We have created another pivot. Inside another pivot, I
[01:43:37] have removed all your items here. Ok, I have kept them. And I
[01:43:42] have made it percentage of grand total by using show value as and I
[01:43:46] did not need so many items here. Let us keep only these many items in the grand total. See
[01:43:52] how much do you have. I will remove them. If I talk about car
[01:43:57] accessories by themselves, what percentage of the total does it take? It is
[01:44:02] 2.01%. Now here, what does percentage of row total mean?
[01:44:07] If I see within this 2.01%, then the contribution of female in decor is 31% and if we
[01:44:15] talk about male contribution, then it is 18.44%. Look there, when we talked about saree,
[01:44:20] saree gives a contribution of 35.55% in total.
[01:44:26] So, in that case, if I talk about it, female in itself
[01:44:30] gives a contribution of 52.91 and fashion in itself gives a contribution of 41.29. And here,
[01:44:36] if I change it, If I had shown the percentage of percentage of row total, I would have come to know
[01:44:41] that here 59.02% of sarees are being bought by females and the
[01:44:49] other percentage are being bought by males and
[01:44:54] our total would have been 100%. So this particular total means that
[01:44:59] we have found out the percentage of its contribution within that entire total,
[01:45:04] that is, if I talk about the contribution of sarees is 35.55%,
[01:45:09] then considering that 35.55% as total,
[01:45:15] we have divided our percentages here accordingly. I hope you have understood, if you have any doubt anywhere,
[01:45:20] you can ask us a little bit about our data. As we
[01:45:25] move ahead, things will definitely get a little tricky, but you
[01:45:28] have to understand carefully. You just have to understand here that when I was talking earlier,
[01:45:33] the total here was 100%, so in itself, if we talk only about car accessories, then
[01:45:38] how much is the male share in itself Contribution and what is the contribution of female But now
[01:45:43] I am asking that when the contribution of car accessories is only 2.01% in the total, then
[01:45:49] how much is the contribution of female and what is the contribution of male for this contribution.
[01:45:53] So this is the thing, now let us
[01:45:59] remove things from this pivot and simplify it. Now we
[01:46:04] will see some other calculation, same as you can do for percentage of column total also. Column total
[01:46:09] has not come here because there is nothing in the column here, so we will have to add here
[01:46:13] and we will have to add one or two more things, so we do the same gender again. Now
[01:46:18] if I talk about column total, then obviously I
[01:46:22] will have to keep this also here and gender will have to be kept here, category will have to be kept here, it has become opposite,
[01:46:26] the thing which you were doing for parent just now, the same thing for whom
[01:46:30] are you doing here, you are doing it for the column, so it is the same thing, if I talk about female
[01:46:34] contribution Let me talk about it for now here, okay product name
[01:46:40] wait a second here, give me a minute,
[01:46:50] okay it is saying that there is no space, I will give it a little space and
[01:46:56] here we go. Okay, so here it has
[01:47:02] given the total of the column but here we are still seeing 100%, so it means we
[01:47:07] are definitely making some mistake, let's check it once, right click, show
[01:47:11] value, take parent column total, then parent column total will come down, this will come down,
[01:47:16] okay fine, we will go to the design tab, we will turn on our grand totals,
[01:47:21] here see, the total is coming here, mainly how much is what and now I
[01:47:26] should keep the gender here, I should keep the category here, we should
[01:47:30] keep the product name here, if I talk about a particular product, then what was the contribution of car accessories,
[01:47:34] which is 2.01%, it was 2.01%, you have been reading till now,
[01:47:39] in this, female and decor gave a contribution of 31.49 And the male has
[01:47:44] given a contribution of 18.44 The table is the same The description is the same Answer is the same The data is the same So everything
[01:47:51] will remain the same The way of displaying it has changed I was finding the row table better It
[01:47:56] was better It was a big table of yours But if you want to show it column wise also then
[01:48:01] you can do it Like you had seen the whole table So look at the whole table here it is 35.55% 52% of yours
[01:48:07] came from the female side And 41% of yours came from the male side It is the same Everything is
[01:48:12] exactly the same Just the thing that you did for the row, that thing you have done here for the column
[01:48:17] When you were doing it for the row, all the things were in the column and
[01:48:21] your product name was in the row But now when you are doing it for the column, the main thing
[01:48:25] is in the column and the rest of the things are in the row Only this much difference has come Nothing else has changed
[01:48:29] Okay, let's see next, next we will do,
[01:48:33] I will shift the product name here and sum of sale price, okay fine, I
[01:48:38] will put it back here, just give me a minute, and here our weightage has been created again
[01:48:42] because we have to see the further calculation, I will select it, right click and
[01:48:46] go to show value edge, and here I can see the percentage of parent total,
[01:48:50] percentage of parent total has also been done, meaning the percentage is according to whatever is the main,
[01:48:55] so it is kind of the same, difference, you can understand this as if you
[01:49:00] had not seen that we had seen the other things by taking the saree as the base, if the saree
[01:49:05] is selling so much and I want to see how many other things have not
[01:49:10] been sold in comparison to it, then you can do that also according to the product name and who wants
[01:49:14] to take the base, you can take everyone's base here, you have taken the saree as the base and clicked okay, so
[01:49:18] on that basis you have seen it, but right now it doesn't look good, so let's do one thing, let's
[01:49:21] do a sale And we add the price and according to that now we will see,
[01:49:26] let's take the lowest one, let's take the chair, let's
[01:49:29] find out how well the other people are doing, have they brought some positivity or not. So now
[01:49:34] what will we do, we will click anywhere here, right click,
[01:49:37] go to show value as and from here we will take the difference from and here now I will take the chair
[01:49:41] because I want to show something positive, so I clicked ok, so see if I
[01:49:47] compare chair with chair then it is obviously zero, I have taken the chair as the base,
[01:49:51] if we see in place of chair then it has done so much more, what is this, understand
[01:49:58] the concept, okay, I will explain the concept, understand a little, you have a
[01:50:03] shop in which you sell chocolates, okay, you sell toffees,
[01:50:09] some crackers, some wafers, these you sell,
[01:50:16] okay now the toffees which you sell, your crackers are sold for Rs. 200, your wafers are sold for Rs. 300,
[01:50:23] your wafers are sold for Rs. 500. And your chocolate sells for Rs. 700 so if you
[01:50:31] want to do a good thing and a positivity thing you want to see that my toffee
[01:50:36] sells the least for Rs. 200 if I keep the toffee as the base and want to see
[01:50:42] how much more the other people are earning so if I look at the cracker, it
[01:50:46] is doing Rs. 100 more then I look at the wafer, it is doing Rs. 300 more
[01:50:52] and if I look at the chocolate, it directly earns Rs. 500 more this chocolate
[01:50:57] earns me Rs. 500 more if I keep the toffee as the base then
[01:51:03] how much more is the chocolate earning, it is earning Rs. 500 more the cracker
[01:51:07] is earning Rs. 100 so it is the same thing here you kept the chair as the base the lowest one
[01:51:12] that I mean this much I have if I see how much more are the other people earning from this
[01:51:18] if I buy car accessories If we talk about then they are earning so much,
[01:51:21] if we talk about year birds then they are earning so much, home decor, laptop, male dress, all of them
[01:51:29] are earning the most and after that comes your suit, obviously in terms of
[01:51:33] values both of these are high, so obviously this is the difference of the most, that is the lowest,
[01:51:37] so here this thing is being found out, the difference from is telling you this thing, did you
[01:51:42] understand, I guess I guess you must have understood, if in any case you don't understand, then
[01:51:48] please let me know in the comment section, okay and let's do this thing now, this thing that I have done now, it
[01:51:53] has come in your value, I will add it once more, here you
[01:51:58] could have seen this thing in percentage also if you want, you took in terms of percentage also in difference and base
[01:52:02] you have kept chair in it, you took chair and okay so in terms of chair
[01:52:07] is this much and in return of that 646% and look at this, saree, so look now let's
[01:52:13] do it in reverse, let's do it in reverse, I will take this and show in value as
[01:52:17] percentage of difference from I I take the saree here,
[01:52:21] after taking the saree I click ok, so if I see in exchange of the saree, how much less are these,
[01:52:25] by how much percentage less, so the thing that you have just found out in value,
[01:52:30] if you want to find out the same thing in percentage, then you can find it, okay
[01:52:34] , nothing new, it was the same thing, I just told you by finding it in percentage instead, next
[01:52:40] you get the calculation, right click, go to show values and after that
[01:52:43] you get the running total, what is running total, first understand the running total and
[01:52:48] after that we will do the running total, if I talk about running total, then
[01:52:53] what is the meaning of running total, it is a very basic meaning, for example, suppose I write some numbers here
[01:52:57] I will give it 2 4 6 8 10 Okay, if I write any numbers here then what
[01:53:04] will come first, two will come, 2 + 4 is what? It is six. 2 + 4 + 6 means how much will 6 + 6 be,
[01:53:12] 12 will be what, 12 + 8 will be how much, 20 will be how much, 20 + 10 will be how much, 30. So this is your
[01:53:19] running total. What is a running total?
[01:53:23] It will keep getting added to all the values that come in future, that is your running total. Okay, so from here we
[01:53:29] will do it. You don't have to do anything, you have to click on it, right click,
[01:53:34] go to show value age, from here you have to do the running total. You have to do the product name, okay
[01:53:38] and the first amount is the same. When you add it in it, select both of them.
[01:53:43] See the total below, which is 116189, that is your answer. If we suppose I
[01:53:48] take the total of these three, then which is 167 6653, that is your answer. If I I will take these
[01:53:52] four, sorry I will take these four and see their total, which is
[01:53:57] 440956 one which is your 440 and 9561 if I take the total of all these and our total
[01:54:04] comes out to be 46492605 and
[01:54:07] 46492605 so you can see that your running total has come out very accurate, that is your
[01:54:12] running total. After that if you get any value, then by going to show value as, you can show the percentage
[01:54:16] of running total, if you want to show it, you can show the percentage also. Now its same
[01:54:20] percentage will come, 2.01, what percentage of this was 0.8 in this, so 0.8 got added to it
[01:54:26] in the same manner and it will keep getting added, okay, here you reach, the saree had 35%, so
[01:54:31] 24 plus 24.57 plus 35 something something was there, so this became 60, then it became 62, you
[01:54:38] know that our suit had approximately 28%, so 62 + 28 which is approximately of 90%
[01:54:44] and 91%. So your answer is here, so if you
[01:54:50] want the same thing of value in your percentage, then you can get it from percentage here also, right click
[01:54:54] , go to show value as and after that comes the rank. If I
[01:54:58] want to rank who did it first, who did it last, or if
[01:55:02] I want to do it the reverse, then we can directly rank it in both ways. We do
[01:55:06] not need to apply any formula. We have ranked from smallest to largest and
[01:55:10] we clicked okay, then that is your rank. The rank has come to you automatically.
[01:55:14] This is the rank of chair, this is the rank of air buds, whose rank is the topmost, 11
[01:55:19] because I did it from smallest to largest. If I do the same thing from largest to
[01:55:22] smallest, generally the rank that we show is from largest to smallest,
[01:55:26] so here we did this, so the first rank that came to you
[01:55:31] was of saree, then of suit, then your For laptops, I guess will come and after that
[01:55:36] you can see and for male dress, it has come and in this way you have to find out your rank.
[01:55:41] So here we have completed all our values.
[01:55:45] Now let us look at another topic and we will see some settings of Pewter table. Firstly,
[01:55:50] I will tell you the basics here that if you do not want to see all the options that you have explored
[01:55:53] by going here, then you can see them here also by right clicking.
[01:55:58] Like, when you changed the field of value, you
[01:56:02] were going to field settings. So, without going there, if you want to change directly here, you can do it. Like,
[01:56:06] I want sum here now, so I have made sum. Another thing is that suppose
[01:56:11] you want to sort your data, that is, if you want to show the largest value at the top,
[01:56:15] which is yours, then you can do this. You can click anywhere,
[01:56:18] right click, there is a sorting option here. Go to largest and smallest.
[01:56:22] So, it has automatically done the sorting and given the largest value at the top. It has come to the top
[01:56:26] , the smallest has come to the bottom, if you
[01:56:30] want to do sorting in some other way, you can do that as well, after that another option comes to you, the rest of
[01:56:34] the options are the same as you have just explored above, here another option
[01:56:39] comes, which is your pivot table options, when you click on pivot table options, then
[01:56:43] you get this type of window, inside which there are many settings, which
[01:56:48] will help you in your representation or in doing any small work, first of all we
[01:56:53] are in it in layout and format, if we have to make any changes regarding this format,
[01:56:57] then how will it be done, for now I will turn it off, which is merge and
[01:57:01] center with the labels, how does it work, first to do that work, we
[01:57:05] have to create that situation because every work is done on the basis of situation, so I
[01:57:09] have created a situation here, inside which your category is fashion, electronic and
[01:57:13] There is decor and you can see that the cells after that are empty here, so
[01:57:19] one way to fill them was that you go to the design tab and
[01:57:23] go to the report layout and repeat all items here and in this way it does not look good,
[01:57:27] okay but I want something that comes in the middle, so
[01:57:31] what will I do in such a case, right click anywhere and go to pivot table options and
[01:57:35] turn on this merge and center cells here, after turning it on we will click ok, so
[01:57:41] see now all the cells have become one cell, now it is not a different cell, this
[01:57:46] thing is written inside this cell, so this cell has come, see it has come in this way, open it, it will come to you in this
[01:57:51] way, so it is totally up to you that how to show you, if you
[01:57:55] wanted to repeat then you can also repeat and if you wanted to merge in this way
[01:58:02] then you can also merge, let's see the next option, the next option is what comes to us,
[01:58:06] whatever important ones are there, I
[01:58:10] am going to make you do that here. After that you get a filters of fields which are displayed, suppose
[01:58:15] I add two filters here, add three, add anything,
[01:58:21] add status in the filter, suppose you are seeing filters in this manner, then
[01:58:25] these filters are appearing one above the other, one above the other, in this manner, you do not want
[01:58:29] to show them like this, you want to show them in some other way, you go to PivotTable Options and see here
[01:58:33] Display Fields in Report Field Area Filter Area, you click on it and
[01:58:38] make it over the down and press OK, then they will come one by one in this manner, they
[01:58:43] will come on the sideside, see they have come on the sideside, if you did not want them on the sideside, you
[01:58:47] remove two, you did not want them on the sideside, you wanted them in up and down like this,
[01:58:52] right click, go to PivotTable Options and here Display Fields in Report
[01:58:56] Filter Area, make it down the over here and press OK, then now they will
[01:59:02] come in the down the over position here, okay, let's see the next option, what else do you get inside PivotTable Options
[01:59:06] , here you get Format Error value
[01:59:10] If an error occurs somewhere, what value should be shown there, what
[01:59:14] should be shown there, suppose you have to show zero there, zero should be shown instead of error,
[01:59:18] but or if you feel that there is an empty cell here, then you have to show zero,
[01:59:22] so you took this and showed zero, right now there is no empty cell, there
[01:59:26] is nothing, so let's do one thing, we go to our pivot table analyze and
[01:59:30] go to the change data source and increase this range a little for us, so
[01:59:35] that we get some empty cells, right now our range is this, so we
[01:59:39] have increased the range by two-three more in this way and clicked OK and then we go to our pivot table and
[01:59:43] refresh it, after refreshing we also have blank cells, but
[01:59:47] now there is zero here, if suppose I go to pivot table options and
[01:59:51] say here that empty cell should come, then write 100 there, then click OK, then see
[01:59:55] Here 100 will be written, it's totally up to you, if you want to get anything written anywhere
[01:59:59] , you can get it written, similarly, if there is an error, then
[02:00:04] my zero should be written in the error, so that the error does not come, so for now, I right click,
[02:00:08] go to the pivot table option and delete this error and press ok,
[02:00:12] and there go to the main data and create some error, how will the error be created, it
[02:00:17] does not take much time to create an error, an error can be created, A, I did this,
[02:00:22] B, I did this, see, the error came, went to the main pivot, the main pivot was in the final one,
[02:00:29] went into this, went here and went to analyze in the pivot table and refreshed all,
[02:00:34] so I should have got an error from here, but our error
[02:00:39] did not come, we had created an error, we had created it in the car accessories,
[02:00:47] ok, this is the error, we will have to expand a little, so All the errors will have to be created,
[02:00:52] let us see once whether it works or not, whether our errors
[02:00:56] are shown or not
[02:01:00] , right now no errors are coming, its values are only decreasing, so
[02:01:06] because of this it is showing changes, okay, if suppose any error occurs anywhere,
[02:01:11] then at that time also you can get the value written which you want, okay, if
[02:01:17] any error occurs in your pivot, some error occurs in any formula, then you
[02:01:21] can do this work, okay, let us see the next setting,
[02:01:25] go to pivot table option and after that auto fit column width on update, suppose you are updating something
[02:01:31] If it happens, the column will auto fit automatically. So for now, what will we do, let's do it like this
[02:01:36] and then going to main data, whatever we
[02:01:44] have created here in the main pivot, we have sarees, so we will change the saree one, so we
[02:01:48] will do control A, control H, here we
[02:01:54] will put saree in find what, home decor saree, copy and paste here, so we
[02:02:03] have to do this in the find sheet only, let's do find all, it will replace
[02:02:07] costly
[02:02:11] sarees, anything like this, I am putting Banarasi sarees, so that its width increases, I
[02:02:18] just mean increasing the width, I have done replace all, so much replacement has been done and
[02:02:22] I cross, now I go to my main pivot final and from here I
[02:02:28] go to pivot table analyze and refresh all, so here it did
[02:02:33] not increase the width automatically, it made it wrap text, but there I
[02:02:37] go to the pivot table options here and check auto fit width on update, so see,
[02:02:42] it has auto fit now Width, without putting wrap text here, we
[02:02:47] have brought it inside it. Okay, so we make it control Z and we
[02:02:52] also go to our data and check whether sari came in place of sari or not, it still did not come, now it has come.
[02:02:56] Okay, in this way, if you want, you can use auto fit. Right
[02:03:01] click, go to Pivot Table option. Here, preserve cell formatting on update.
[02:03:05] So suppose you do an update later and
[02:03:09] want to preserve the formatting in this way, then you can turn it on. You can also keep it on.
[02:03:13] Next, let us see what options we have. We will see for totals and filters.
[02:03:17] Show grand totals and all these things, you have seen them there in the options,
[02:03:22] you do not need to see them. You have also seen them in subtotals, so there is no need to see them.
[02:03:26] Show expand and collapse buttons come on display. So, I had told you about the
[02:03:30] buttons in Dis Pivot Table Analyze in the option, if you want to remove them, you can remove them. Show
[02:03:34] contextual tool tips. Yes, you can turn them on and click OK
[02:03:39] . As soon as you go to them, look, they show you the complete
[02:03:44] information written down, right? You are getting the complete information of wherever you are going,
[02:03:48] but if you want that wherever you reach, the information should not come, this
[02:03:51] box does not come inside which the information is written, then in such a case, you can remove it,
[02:03:55] you will go here, wait a second, go to display and
[02:04:01] you have removed show contextual tooltips and here you have pressed OK, now look,
[02:04:07] wherever you go, nothing is coming to me, nothing is coming, no
[02:04:11] instruction is coming, so we generally keep this on, so that we have
[02:04:15] the information, the setting which is by default is fine, but if you want to do any setting yourself,
[02:04:19] then you can do it in this way, okay, display, field, captions, filter,
[02:04:24] dropdowns, these are all the same displays and sorting, keeping in source order,
[02:04:29] all these things are the same which I have already done for you in the settings, look,
[02:04:33] go from the pivot table option, or go here, the way I I am not telling you that
[02:04:37] all the features are present on your main screen but some features are not there, so
[02:04:41] there are features inside the extension, so it is just like that you
[02:04:44] have already explored all the features, but there will be some features, one or two features which
[02:04:48] will be available here directly, they are not available there, I have
[02:04:53] already told you about total and filters, we have already done the layout, come inside data, then save source data with the file
[02:04:57] enable show details, yes, our show detail option is also visible, if I
[02:05:01] do this and turn it off and go to Pivot Table Analyze, then see,
[02:05:06] the thing with show details has been grayed out here, now when I am clicking, it is not appearing,
[02:05:10] but right there, if I right click, go to pivot table option,
[02:05:14] go to data, enable show detail, refresh data when opening the file,
[02:05:19] we will do this one also now, so now see, we will get the option of show detail, we click on it
[02:05:23] and now our show detail is being created, our detail has appeared, so in this way you
[02:05:27] can also turn off your show detail option. If you want to keep it on, you can keep it on.
[02:05:32] Now if you see, you know that I was still refreshing the data,
[02:05:36] so whenever I go and make some changes, I have to refresh after coming here,
[02:05:40] but if I go to the pivot table options,
[02:05:45] go to the data here and make it refresh data when opening the file and click OK.
[02:05:49] So on opening the file it is not like that if I make a change in the sheet then it
[02:05:55] will get changed like here I went to my main data and
[02:06:00] where did I go in place
[02:06:04] of saree , yes
[02:06:09] I wrote a question in place of saree, I wrote this question and now when I
[02:06:16] come to my PPT then it will get updated, if it did not get updated then you will have to refresh
[02:06:22] it, so it came here but if you open the file and suppose I went to my main data
[02:06:30] and where did I make the change, I delete it and here I make saree
[02:06:35] which was there and make it control s, okay after doing control s now I
[02:06:40] close it, after closing now wherever my file was just now there
[02:06:44] was a question there, now I go here and turn on the main pivot,
[02:06:51] the main pivot is done now when I go to my main final pivot then look
[02:06:55] the question has disappeared from here now because I had told it
[02:07:00] to refresh automatically when the file is opened the file is getting refreshed on opening it is not like as
[02:07:05] soon as the change is made it will get refreshed It will get refreshed, for that you will have to refresh,
[02:07:09] but if suppose you closed the data after saving it and after that if there is something
[02:07:13] then it is getting opened, okay, so this was an option with you, after that
[02:07:17] go to pivot table options, you can see more options inside that data, number of items to be
[02:07:21] retained on field, let it be automatic, okay, after that we
[02:07:27] have seen total and filters for printing and let's see the rest of the things,
[02:07:30] see what is there in printing, one is the print expand and collapse button, if you
[02:07:33] want to show it, for now you can see the buttons here, do control P and
[02:07:37] those buttons are not visible here, okay, but if you want to show those buttons,
[02:07:42] right click, go to pivot table options, go to printing and
[02:07:45] turn it on here, okay, repeat low raw labels on each printed page, we will also do this,
[02:07:52] okay, let's do control P for once, so see at this time these buttons of yours
[02:07:56] are coming, before this these The buttons were not appearing, so it is up to you
[02:08:00] how you want to display something, you can display it in that way, after that if you
[02:08:03] go to printing then there is repeat raw labels on each printed page, so for now the raw labels
[02:08:08] are not repeating everywhere and press ok, then you will do control-p,
[02:08:12] right now your data is so small, if it was like a very big data, then
[02:08:17] all your row labels on each page would have been repeated,
[02:08:23] okay, there was a last option which was already ticked, in that check it in
[02:08:27] printing, inside printing you had set printables, if particulars
[02:08:31] like our printable is exactly like what we do in page layout, so here
[02:08:35] we have completed our Pewter table settings, I
[02:08:39] have given full time to it, you have understood the things that you need to understand, see Excel
[02:08:44] is very big, if you think that I will learn everything, then you will not be able to learn everything, second thing is that
[02:08:49] I will learn everything and remember everything, absolutely not. If it is possible, then
[02:08:54] learn a little bit of advancement from whatever is useful, whatever things you know, it will make your work better,
[02:08:59] you will learn that much and keep mastering that, you will be able to do good work because
[02:09:04] this is what is used in your work, you think that I will learn everything and after that
[02:09:09] I think that it is possible to achieve it, but it will not be possible, learn that much and
[02:09:14] learn that thing as deeply as it is useful, as much as it is useful and
[02:09:19] keep taking that forward gradually, so this is such an approach which will make you a master
[02:09:24] inside Excel, now let us see our options, now it has been 2 hours since we
[02:09:29] have been studying, so a little bit of fun activity can be done, right? So let me
[02:09:33] design a game, so that whatever you have read till now, all of it
[02:09:38] will be revised and we will also do a fun activity and we will also understand a little bit of real life
[02:09:44] scenarios that there also we have to know all this, okay, so
[02:09:48] I will tell you a little bit about what the game is going to be, I have asked a question
[02:09:52] We have prepared this questionnaire in Word, you
[02:09:56] will find it as well and according to the data, there
[02:10:00] are many questions written in it, okay and we will take some time, it
[02:10:05] will take some time but if it takes even 30 minutes to do these 30 questions, because
[02:10:09] if we take 1 minute for one question, then it will be completely sorted, then there will be
[02:10:14] no point left here and there in the pivot table, okay, so let's get started.
[02:10:19] Let's turn on your timer. I hope I can get this done in 30 minutes.
[02:10:24] The first question I am asking you is what is the total sales across all regions. So
[02:10:28] if I want to know this, how will it happen? You must also have the data or you can quickly
[02:10:33] tell me in the comment section that if you were in my place, how would you have done it?
[02:10:37] I want to know region wise, right? Region region region region. Ok, there
[02:10:43] is no region in my data. I guess I had taken some other data, according to that, that thing was there. Ok, we
[02:10:49] will tell it category wise. No problem, in region we will tell state wise. Ok, so
[02:10:54] we will take the state in raw and it has asked for the sale, so I have taken the sale price here
[02:10:58] and I have to tell the total sales. So my total sales were anyway going to be total. I
[02:11:02] don't know why I used so much brain. So here, how much sales have been total across
[02:11:07] all regions, so which is 5100921, whatever the total sale will be, that will be my
[02:11:13] sale across all regions. If you are asking this, then it is said that we did
[02:11:19] not apply our basic brain and we just went straight to make a PET table.
[02:11:26] Okay, I will delete it from here and here is your answer. Next,
[02:11:30] in which region did the highest sales happen? We do not have a region, so
[02:11:35] all the questions related to regions that come, we will leave it. In which state did our lowest sales happen?
[02:11:38] Okay, fine, we can tell this. For this, we have already created a PET.
[02:11:42] So in which state did our lowest sales happen? So what do I have to do? I
[02:11:46] take the sale price, right click on it, go to show value edge and
[02:11:50] from here I rank it from largest to smallest and I click okay. And
[02:11:54] from here I found out what will be the smallest, the smallest, the smallest. Is there any rank
[02:11:59] after 19, 19, after 20, 20, is there any rank? 20 is the lowest in Chandigarh,
[02:12:04] Chandigarh is the right answer. So if you also find the same answer, then quickly So tell me
[02:12:09] so we will go here and write which city has had the lowest sales which is
[02:12:14] Chandigarh okay next question which city
[02:12:17] has generated the highest profit okay then run quickly they have asked city city city now
[02:12:23] we have states and we don't have cities over here so just because
[02:12:29] our data I guess has changed unfortunately I'm really sorry for that
[02:12:34] and it doesn't matter we will tell in the state which will be the highest
[02:12:37] our highest will be this one the second highest so the first one will be right Uttar
[02:12:42] Pradesh Uttar Pradesh is the highest the one which has had the highest sales so we will go
[02:12:48] and here we here okay now we have made a small mistake it is saying profit
[02:12:54] and I have come back after talking about sales so see in this way we have to take care so
[02:12:59] we will have to remove this also we will have to remove this also we will have to take profit and we
[02:13:03] will have to take profit once again after taking the profit we will go to show value edge here and
[02:13:08] write largest to Let's do smallest or smallest to largest and click okay.
[02:13:11] So whichever one comes, okay, the one that comes last, whichever one is your
[02:13:19] highest one, this is your highest, West Bengal has won the game,
[02:13:28] not Uttar Pradesh. See, in terms of profit, West Bengal has won,
[02:13:32] Uttar Pradesh was winning in terms of sales, so West Bengal has
[02:13:36] performed quite well in terms of profit, so we will mention here West Bengal, West Bengal, those who
[02:13:42] are from Bengal, please mention that we have made a very good profit,
[02:13:48] which are the top five best selling products, top five best selling products, if we talk about me,
[02:13:52] then obviously we are best selling, so we obviously need the sale price, if
[02:13:57] I have taken it here according to the sale price, and I take it once more and from here,
[02:14:03] first of all I do one thing, right click and sort it
[02:14:07] so that it appears immediately, then let's do largest to smallest, so the
[02:14:12] largest ones have appeared, now if I want to rank them, they
[02:14:16] will appear in that manner. Rank largest to smallest or smallest to largest we will rank
[02:14:20] and okay so which is 2019 and 1 2 yes we
[02:14:28] should have made it largest to smallest so we will rank it largest to smallest and okay so
[02:14:33] look here 1 2 3 4 5 which is your Uttar Pradesh what was your answer Uttar
[02:14:38] Pradesh Maharashtra West Bengal Tamil Nadu and Jharkhand these are performing the best
[02:14:42] we will come here and paste these answers so our answers have come that these
[02:14:47] people have performed the best okay let's see next which gender
[02:14:51] The customer has done the most shopping, okay, so we only need to know the genders and we need to know
[02:14:56] who has done the most shopping, so let's just put the gender here and the sale
[02:15:00] price and from here, I can find out by looking at it, but if we
[02:15:03] can't find out, then in that case, we will take it, right click and then
[02:15:09] go to show value as and select from smallest to largest and click OK, then we will find out
[02:15:13] that male has not done the most shopping, female has done it because it
[02:15:17] was from smallest to largest, so here we will write female, so which gender has
[02:15:22] done the most shopping, female, I did not do it purposely, it has come automatically,
[02:15:26] okay, we are leaving the question of reason, total quantity sold for each product
[02:15:31] category, we need to know each product category, okay,
[02:15:34] we will not type the answer here but we can extract it and he
[02:15:38] needs the total quantity, that too of each product, so we take the product name here and
[02:15:41] he needs the quantity, so our The price will go away, we can take the quantity here
[02:15:46] and we need the count, what did we need to know, let's read the question once, what
[02:15:52] is the quantity sold for each product, quantity, so how many have been sold
[02:15:56] , how many have been sold, we don't need the sum, how many have been sold, so basically we need the
[02:16:01] count, so we can right click on it and do summarize value by count here, so okay fine,
[02:16:05] this is our answer and if it wanted top five, okay, it wanted only the total quantity,
[02:16:11] so this is our answer, we cannot fill it, but we can see
[02:16:15] that our answer has come, if we fill it there, it will consume a lot of space, so
[02:16:19] this is our answer, okay, I understood, that's why I do it quickly,
[02:16:22] once I right click and go to the Pewter option, this value error, it
[02:16:27] doesn't look good, okay that looks better, okay, so here it is done,
[02:16:33] let's see the next question, we have made it eight, let's go. We have done eight questions
[02:16:37] . Next comes which state is most profitable
[02:16:41] on the basis of profit percentage. On the basis of profit percentage, which state is doing the best. So let us
[02:16:47] move ahead. First of all, we understood that we have to find out the profit. So first of all, I
[02:16:50] remove the quantity here. We can take the end product. There
[02:16:55] is no problem. We can take the profit directly. We will take the profit once again.
[02:16:59] He wanted to know on the basis of percentage. So that is why I
[02:17:04] made the show value s here as percentage of gross and total. So if I see percentage wise, then the maximum
[02:17:08] profit is also being given to us by doing all the things. So,
[02:17:12] on the basis of profit, we came to know that the maximum
[02:17:16] profit is being generated by marriage. Perhaps this is what we wanted to know. Which state
[02:17:19] is the most profitable? Okay, he said state. So we have taken the product. No problem. We
[02:17:24] will take the state. Here we get the state. Which state
[02:17:28] is the most profitable? If I look here, then I am not able to figure out which state is the most profitable
[02:17:32] so let me do one thing, I will add the profit one more time,
[02:17:36] profit where is profit okay, I added the profit one more time, right clicked
[02:17:42] and from here show value as here is smallest to largest and largest to
[02:17:46] smallest so we did largest to smallest and clicked okay so here it
[02:17:49] is showing me which state has come at number one which is 10.81 which is West
[02:17:53] Bengal in terms of profit we had also discussed above that West Bengal
[02:17:58] is making the best profit that means we have done the correct calculation okay so
[02:18:02] according to your profit percentage if any state is seen which is the most profitable
[02:18:07] then which is West Bengal Bengal Rax okay
[02:18:13] Bengal which payment mode has done the maximum transactions so right now this data as I
[02:18:18] told you has changed a little so I will not be able to tell in the payment mode next let us see
[02:18:21] which is the most profitable product, the product is asking and the most
[02:18:25] We have been seeing all the profitable things , so all is fine, we know how to do it
[02:18:31] , but still I will tell you that the challenge is that how quickly we can do it,
[02:18:36] so here you take the product name and here the sum of profit is taken and
[02:18:41] what was he asking, which payment is not there, which one is profitable,
[02:18:48] he had asked about profit only, he wanted to know the profit only, so if I talk about profit the most, then
[02:18:52] which one is making profit, all are making profit, which is right
[02:18:54] Answer ok next let's do which product went in loss it is not in loss
[02:19:00] but yes if something has gone in the lowest then we can do that
[02:19:05] why we are not getting the value of three here, it doesn't matter we can do it again right click
[02:19:07] show value as largest to smallest and smallest to largest
[02:19:11] to smallest and click ok so it told me that
[02:19:14] this is doing the most so the lowest I can say
[02:19:17] chair chair is the product which is working in the lowest is in loss only in a way
[02:19:23] it is not making much so I will not say in loss you can keep it on BEP
[02:19:27] which is your break even point ok what is the new was retained customer impact on sales
[02:19:32] so we don't have any data for this right now in which month and quarter the highest revenue
[02:19:35] was generated so if you want to know about month and quarter then
[02:19:39] we can know about month and quarter let's remove the product name we will bring the date here ok
[02:19:44] date date date date Bring it here, okay,
[02:19:50] there is no space below, it is saying that there will be a lot of data, create space below
[02:19:56] brother, one second below, I have selected it by mistake,
[02:20:02] it needs space below, it will be created now,
[02:20:07] I am saying, it will be created now, now you
[02:20:12] bring the date, oh, take it, you control A, right
[02:20:18] click and after that delete this pivot,
[02:20:24] delete pivot table from here, okay, now you will create it brother, now we
[02:20:31] can bring the date by stretching it, yes, we can definitely bring it, he has asked him about the quarter and month,
[02:20:34] so in which quarter and at the same time he has
[02:20:39] asked about the highest profit, so I can see it here, right now I am not able to figure it out, so I
[02:20:42] do one thing, I take the profit, where is my profit, I forget,
[02:20:47] after taking profit again and again, now I right click on it and
[02:20:51] see in terms of percentage, even then we will get to know what is the percentage in the grand total, so
[02:20:55] I can see the highest, we have done it in quarter four,
[02:20:58] in quarter four also we have the months which It is October November December. If
[02:21:02] I want to see it in this way, then here also it is opening and telling me that
[02:21:06] we did the highest in December, so December is the right answer. So if I talk about
[02:21:11] which month or quarter we did the highest, so which is your
[02:21:15] quarter, ah four quarter four we did it in and the month that has been there was
[02:21:20] our December, so in this way you can find the answer for yourself. The next
[02:21:25] one is which product category received the highest discount. We
[02:21:29] do not have this question because we do not have discounts right now in this data, male
[02:21:32] versus female customer, which gender has the higher average order value,
[02:21:38] who has the higher average order value between male and female, so understand this thing. First of all
[02:21:42] what do we need, we need the average order value. Which is your sale price,
[02:21:47] so by not summing, I take the average order here, average on an average, so here
[02:21:54] we go to the remove field and take the average here and press ok. So which is your
[02:21:57] average and what do we want to know? So male and female, on an average,
[02:22:02] the buying capacity of male is better, if I
[02:22:08] apply on an average in all the things and see, if I want to know about a particular product in the product, then
[02:22:11] it will also be shown in that, if I talk about, in which female has spent the most,
[02:22:15] so I do one thing for once and take it here, I convert it into average
[02:22:20] because it should be in the same values , after converting it into average,
[02:22:26] I right click on it and choose show value as and do the percentage of grand total
[02:22:31] , so if I see, the grand total is coming out to be 100, right? Yes, okay,
[02:22:35] so if I see, she has also spent a lot on car accessories,
[02:22:41] on an average, if we see, then the highest percentage is on women's dress, so in this
[02:22:47] way you can see, what she wanted to know, we wanted to know that
[02:22:53] the average order value of which gender is higher, so I would say that male has
[02:23:00] more, not this. Asked how much it is, he asked who faces more mail,
[02:23:03] which age group, right now we don't have any option, which state has
[02:23:07] the fastest shipping time, we don't have the timing, we don't have the region,
[02:23:10] we don't have the payment mode, which product category combination is the most profitable, so
[02:23:15] if we talk about the most profitable, then which combination is it, so now I
[02:23:20] Let me remove this from here and we bring the category for profitable here
[02:23:24] and we bring the profit from here. Okay, let us bring the profit once again.
[02:23:29] Ah, so that can show us our value in terms of percentage. On
[02:23:36] the basis of percentage, if I talk about decor, decor, electronics and fashion, then
[02:23:41] fashion is my fast growing and if I plus in fashion, then the highest
[02:23:46] percentage holder is saree suit. Okay, if I also talk about the lowest one
[02:23:51] once, then what do I see in these three for the lowest,
[02:23:54] which is decor? When you plus decor, you have two options,
[02:23:59] inside which you can see that car accessories are a little less work and home decor
[02:24:03] work is good. So you can answer in this way. So the answer is which credit, which
[02:24:08] combination is good, so fashion is the best combination and saree, that combination
[02:24:14] is good, discount timing, shipping, in which state have the highest return orders come right now.
[02:24:17] We don't have to use slicer to see the region wise sales trend. So if
[02:24:23] we don't have region wise sales trend using slicer, we can see it state wise
[02:24:27] using slicer. Suppose I have this in PivotTable Analyze
[02:24:30] and insert slicer. If I do state wise and click OK, then state wise
[02:24:34] is here. If I want to check state wise, if I want to check Chandigarh,
[02:24:37] then Chandigarh is here. If I want to check Chhattisgarh, Delhi, if I want to check anything,
[02:24:41] then I can check directly from here. Okay. Next question
[02:24:44] comes to us, use timeline to see quarterly growth pattern. So, it will
[02:24:49] also let us use timeline. By the way, it has done all the work, right?
[02:24:54] 1 second, look, it has done all the work. So now what will we do here, we
[02:25:01] will use timeline. We will go to PivotTable Analyze and insert
[02:25:04] timeline. And we will choose date and click OK. Now we want to know quarter wise. So,
[02:25:09] after selecting quarter, if we want to know the second quarter, then we will see the quarter wise growth pattern. If we want
[02:25:12] to know the third quarter, we can know from here. Okay, in this way, it will come to you.
[02:25:17] The sales of the quarters will be completely shown. Select all the quarters and
[02:25:20] the entire data will come to you. So, we have also
[02:25:25] heard about the timeline here. After that, we saw that using the pivot chart,
[02:25:29] identify the most profitable category. Okay, using the pivot table, pivot chart,
[02:25:35] you can also use the chart. I will keep it here for once. And I will
[02:25:39] use this table to know only the category. If you want to know the category, remove the product.
[02:25:42] And if you want to know the maximum profit, I selected it. I
[02:25:46] went to Pivot Table Analyze. I went to Pivot Chart. And I pressed OK. Then I found out
[02:25:50] that my fashion category is doing the most.
[02:25:54] I can also tell this by looking at my table and my chart. Okay. Next, you get a question: Last
[02:25:58] but not the least, create a dashboard using multiple pivot tables so that an
[02:26:02] important Show KPIs and we will do this. Now as soon as we
[02:26:07] learn the pivot chart, we learn the charts, after that whatever comes will
[02:26:11] come on our dashboards only, so let's read about the charts,
[02:26:15] whatever was related to the pivot, whether basic or advanced, we
[02:26:19] have completed it here. Now whatever we will do is pivot charts or normal charts, we
[02:26:23] will do different kinds of charts and after that when you have learnt the chart,
[02:26:26] when you have learnt the pivot, your KPIs are created from the pivot, your
[02:26:30] visualization is done from the chart, then by merging both of them we will create dashboards. Now
[02:26:35] let's see that, see we have been studying pivot for so long, right? And I
[02:26:41] also told you just now that pivot chart will be taught inside Pivot Table Analyze, here is your
[02:26:46] pivot chart and even if we look in the insert tab, the chart option comes up, so
[02:26:50] then if we talk about these two charts, one is the chart from the insert tab and the other
[02:26:55] is your normal chart, so both of these What is the difference between them, on one side you have the pivot tab
[02:26:59] and on the other side you have the insert tab, so what is the difference between these two, that the pivot
[02:27:04] puts restrictions on many things, what does it do,
[02:27:08] it puts restrictions and why does it put them, you will understand this later, but there
[02:27:12] is no restriction as such in insert, pivot puts restrictions because it is very
[02:27:18] dynamic, it keeps on changing again and again, so that is why it is used to do every single thing
[02:27:22] Now I will tell you one thing here by proving that what
[02:27:28] I am saying is that suppose you have this data, I
[02:27:32] have selected this data and if I go to Pivot Table Analyze, Pivot Chart and I
[02:27:36] want to make a normal column chart then I can make it, obviously it
[02:27:39] is letting me make it and I click OK then this chart appears but I do not want to talk about this chart right now. If
[02:27:43] I go to Pivot Table Analyze here and go to Pivot Chart and
[02:27:47] say go to Sun Bust then it gives me a message here, if I
[02:27:52] go to Tree Map then it gives me this message, if I go to Map then it gives me this message, if I go to
[02:27:56] Scatter then it gives me this message, it does not let me create it,
[02:28:00] if I talk about this I have normal data, this is not a pivot, I
[02:28:04] have pressed Control A, after that if I go to Insert, from here I go to Extensions,
[02:28:09] go to Recommended, the thing is this, I go to All Charts and from here I
[02:28:12] I go to Sunburst and I can create it, I go to Histogram and I can create it
[02:28:16] , I go to Map and I can create it, I go to X and Scatter
[02:28:19] and I can create it, I go to Area and I can create it, I can go to any number of Funnels and
[02:28:23] I can create it, I can go to Combo, so whatever charts you have, we can create them, so now you have understood
[02:28:30] that Pivot puts a lot of restrictions, there are many charts
[02:28:33] which it does not allow to create, on the other hand, all the charts that
[02:28:39] are available in your system under Insert, that are available in your version, that you can create, it
[02:28:43] helps to create all of them, okay, so this was your basic also, see here also
[02:28:49] the Pivot Chart is available, you click on this, go to Pivot Chart, then you
[02:28:53] will have to give the table range, it can be created directly from here also, but obviously we
[02:28:56] create Pivot in Table only then we create it, so we will see from there, so if now you
[02:29:03] must have understood the difference, why am I talking about Pivot Chart, why am I
[02:29:06] talking about Normal Chart, now the upcoming chart Now this is the whole series, we
[02:29:10] are going to spend 1.5 hours to understand the charts, so sometimes I
[02:29:15] will explain you in Pivot, sometimes I will explain you in normal data, my way of explaining will
[02:29:19] remain the same that if you are doing any work in Pivot, then first of all we do one thing, we
[02:29:23] do it in normal data, so that there is less confusion, then in normal data
[02:29:27] I will teach you to make all the charts, I
[02:29:31] will also tell you how to make the chart which is not made in Pivot in normal data and if Pivot is not allowing anything,
[02:29:36] then we will not listen to it, we will do our own, so we have come up with such methods
[02:29:41] by which we can make Pivot and also make the chart of our choice, so how will this thing happen,
[02:29:46] we are going to see this also in this entire portion in the coming days, let's
[02:29:50] clear the basics to you, what things, now we move towards understanding the basic chart,
[02:29:55] let's see in Pivot, if I have this data in Pivot, okay and I remove this Sum of Profit for once
[02:30:00] and I will see this I selected the pivot,
[02:30:05] after that I went to Pivot Table Analyze, after that I clicked on Pivot Chart and from here
[02:30:09] I can create any chart, I have taken the column chart and I have pressed OK,
[02:30:13] so here this chart is ready, I just wanted to show you that if there
[02:30:19] are any changes inside the pivot, today I remove the category here and
[02:30:24] put the product name here, then it will start answering me according to the product,
[02:30:28] my chart is looking like a product, so
[02:30:32] to give a basic understanding, I have told you here how a chart also
[02:30:38] moves dynamically, if suppose you see, this slicer is also
[02:30:42] generated from this pivot, if I do it in Assam, then these changes are also happening, here the data is also changing,
[02:30:46] so your slicer is generated from this pivot, your chart is generated from this pivot,
[02:30:50] so if you make changes in the slicer, then there will be a change in your data, there will be a change in the data,
[02:30:55] so that is definitely your chart here, you can see it. There will also be a change in it. Okay, so
[02:31:02] learn only one thing from here and that is that whatever changes happen in the pivot, you
[02:31:07] have understood the pivot very well. You know how changes happen inside the pivot,
[02:31:11] so whatever changes happen inside the pivot will also be reflected in your chart. Okay, understood?
[02:31:16] Now let us take a normal data and with this normal data,
[02:31:21] understand the scenario of this entire chart. That how the entire chart works, what are its properties, when do we need to use this chart?
[02:31:25] This chart should be created by the user. So I have selected the data.
[02:31:31] Click on recommended charts and from here go to all charts and from here
[02:31:34] you can pick any chart that you want. I have picked this chart
[02:31:39] and clicked OK. So this chart has come to me. Its size is quite big. So we
[02:31:43] adjust its size a little. And here we align it to its side. We increase it
[02:31:49] a little. Okay, now I hope you are seeing it in the correct way.
[02:31:54] I will make it a little lower. Yes, okay, I will control plus it. It is
[02:31:59] okay. Let us also take it in alignment with it. Now
[02:32:04] you must be seeing it correctly. Now I want to talk about this chart. Why did I
[02:32:07] take this chart only? Why did I not take any other chart? Let us also talk about that.
[02:32:11] So here we will create another sheet of ours. Which is theory sheet? The way
[02:32:16] we have been creating it. Here we are learning two charts.
[02:32:21] Which is bar and column access? What
[02:32:27] is bar chart? What is column chart? Now we are going to learn this. Okay. Hey all WVG,
[02:32:33] let's assume that I make a chart
[02:32:38] and tell you how charts are made, how do you plot them, all you
[02:32:42] must have done these basic charts in your mathematics class in school,
[02:32:47] but still I will explain it to you once, you have two
[02:32:50] axes here, there are two axes, the first one is the horizontal one, that is
[02:32:56] your x-axis, this is your y axis, inside this axis, here
[02:33:01] in the middle area, you plot all the things, so what did I tell this, what is your
[02:33:06] axis, what is your x axis, y axis, now suppose on the x axis, you
[02:33:12] are showing the sum price in some way, showing the amount, that means
[02:33:16] you are showing the sale price, 10000 2000 40000 50000, you are showing it in this way,
[02:33:21] so what are you showing, you should also know this, that is the title of your axis,
[02:33:25] that means the name on the axis,
[02:33:30] what is the title of the y axis What is the name of the y axis? On this y axis, I
[02:33:34] am showing the amount of sales. So the sales amount is my access title. If I show
[02:33:38] the sales year wise here, I write 2021 here. Then I write 2022 here.
[02:33:43] I write 2023 here. I write 24 here. I write 25 here. So this is also my access title
[02:33:48] . All two, that is the y axis title. This is the x axis title. But overall,
[02:33:53] if I say, this is my access title. What is my access title here?
[02:33:57] Year because I am writing different years. Okay, after that, you get to
[02:34:02] search it according to your values and create your bars.
[02:34:06] In this way, this bar kind of thing is what you pick up in this way. In this way, you
[02:34:11] draw it. So, all the verticals, what kind of vertical is it?
[02:34:16] Standing, standing, vertically, this is standing. So, this standing
[02:34:20] chart that is created, that is your column. What is the name of the column and there if I
[02:34:26] make a chart for you and I make it here in this way, I
[02:34:33] am sorry for my drawing, I can only apologize
[02:34:39] for the drawing in this way, your sleeping bars, so these sleeping bars
[02:34:45] or should I say horizontal, what are these horizontal ones,
[02:34:49] what do we call horizontal, what do we call horizontal,
[02:34:54] what do we call bar chart, we call bar chart, so you have just learned two, the first one is
[02:35:00] vertical chart and the other one is bar chart, the way of showing both is exactly the same,
[02:35:04] bars are made but only one is horizontal and one is
[02:35:09] vertical, so ma'am then when will we know when we should take vertical or when we
[02:35:15] should take horizontal or when both show the same, then what difference does it make if I take any one,
[02:35:19] no, anyway what difference does it make,
[02:35:24] whatever you want to show in your presentation, show that You may be able to, that is right but I will tell you how we should choose.
[02:35:29] You should look at your headings, see which heading
[02:35:33] is on your X-axis, if your
[02:35:38] X-axis headings are big headings, something big
[02:35:43] is written on it, then what does one do in such a case, your heading will not be written completely, so it
[02:35:47] makes it diagonal, then it is not easy to read, so what do we
[02:35:52] do in such a case, we make it a bar x bar chart, this is the only difference, now this difference
[02:35:58] No, unless I prove it, no one will believe it. This is what happens, right? So,
[02:36:02] for now, first of all, tell me quickly,
[02:36:06] what is the name of the chart that I have created? It has vertical bars, so what will be its name. You
[02:36:10] will have a column chart. If I wanted to make a bar chart of this, I could have made it. Yes, I
[02:36:14] definitely could have made it. I selected the data, went to Insert,
[02:36:18] went to Recommended charts, and from here to All charts. Look, the name here is Bar Chart.
[02:36:22] You can select any bar chart and press OK. Then, this will be your bar chart.
[02:36:26] Let's make this one blue as well, so that you can understand the difference. Go to Insert, from here
[02:36:32] go to Recommended, go to All Charts. Take it out, take it out, take it out, take it out, and press OK.
[02:36:39] This is your outside chart. Understand the difference between the two. Let me
[02:36:44] put them side by side for a second and make them smaller a little.
[02:36:50] You will understand the difference between the two. What was on its x axis, we will make it smaller a little.
[02:36:54] What was on its x axis, 21 22 23 24 25 This has come on its y axis and what
[02:37:02] was on its y axis has come on its x axis, so the values can still be written like this
[02:37:07] sometimes your headings are big and it is difficult to write them,
[02:37:11] so that is why we make our bar axis, everything else is the same now to prove this
[02:37:16] I will need my Pewter table because the same scenario
[02:37:20] happened with us there, now what do I do, here instead of the product name, let's take something else,
[02:37:25] which is your state, so I took the state
[02:37:31] and here there was already a filter, so I will have to clear it, so
[02:37:36] look according to the state, it is coming in this way, now what is this state, Andhra Pradesh, Bihar, Chattisgarh
[02:37:40] , there are many states, so it is not capable of showing it in this way, so
[02:37:45] it showed its heading in this way, so is this thing visually okay, is it
[02:37:50] looking good, is it readable, otherwise what will we do in such a case, one
[02:37:54] second, I should not have done this, I should take a bar again and analyze the Pewter table
[02:37:58] I go to Pewter chart and take Bar chart and I show it like this and
[02:38:04] here I have placed it, look let's do this a little bit, so look, one was this
[02:38:10] in which the heading was coming in this way, here the amount has come down, it's okay but
[02:38:14] here all the names are being read, by just looking at this I can tell that ok
[02:38:17] Uttarakhand and this is more of Maharashtra than here, so in this way you
[02:38:25] see that situation where your heading is big and your heading
[02:38:29] will show diagonal or horizontal which is not easy to read, that's why we
[02:38:34] use different charts in different situations, here your heading
[02:38:39] was small, so that's why you didn't understand much difference but it
[02:38:43] is clearly visible, that's why I have taken this chart, well when everything is the same, only the x-axis and y-
[02:38:48] axis change with each other, they are interchanged, everything else is the same, in this way,
[02:38:52] so if I learn all the elements inside a chart or
[02:38:55] learn the settings inside a chart, then the same will be there in all The answer is yes, leave these two,
[02:39:01] if I am learning the settings here, then the same
[02:39:04] settings will be found in all the other charts as well, yes, the same settings will be found, almost okay, the elements will be the same in all of them,
[02:39:09] but the settings can be a little different because different
[02:39:12] options can come, other than that everything is going to be the same, so it will not be understood that we
[02:39:17] should go to each chart and do all the editing, but yes, we
[02:39:22] will learn everything within one chart and after that we will keep doing all the things, so here
[02:39:27] for now we have learned two charts, the first one is your bar chart and the other one is column chart,
[02:39:33] but now we move towards the elements of the chart, where we
[02:39:37] will learn the elements of the chart, the elements of the chart,
[02:39:41] first of all I will tell you that we have inserted the chart
[02:39:45] from the right insert tab, whatever editing is done inside anything that is done from the insert tab,
[02:39:51] for that you have separate options here, a separate tab is here
[02:39:56] So if you want to change anything then change it from here but we
[02:40:02] will not change it from here because see if I am clicking on this extension,
[02:40:07] when do we do it by clicking on the extension, when all the options are not visible here and we click on it,
[02:40:12] even then this window comes to us, when I
[02:40:17] have to go to that window to explore all the options, so that I do not work directly from that window here so
[02:40:21] Why should I get worried and go back and forth, that is why we will not use any of the options here,
[02:40:25] we will directly work using our extension window,
[02:40:30] but that comes only when it comes to editing, first we should understand
[02:40:36] what all the elements in the chart are, all the elements of the
[02:40:40] chart, by the way, you can see the add chart element from here as well, if you
[02:40:45] understand it, but if you want to understand from here, then do it from here, how
[02:40:49] difficult will it be, you will click on this, go to chart design,
[02:40:54] go to add chart element, then go and see them, it is not better that you
[02:40:58] click on the plus here and all these options will be available here, how easy it will become, the work is not,
[02:41:04] so we will do a little easy work, we will do all the work, but whatever
[02:41:10] is the easy way, we will adopt it directly, okay, let's see what we are going to do now,
[02:41:16] we are going to do our elements, so you click on this,
[02:41:19] click on the plus sign, all these texts that are on, turn them off and on,
[02:41:23] we are going to check, the first one is axis, I have told you I had explained that any
[02:41:28] chart that is made is made on x-axis and y-axis. There is a zero in the middle. This
[02:41:33] is your y axis and this is your x-axis. If I remove the axis itself, what
[02:41:37] should be removed? These values should be removed. These years should be removed. So
[02:41:42] let's try removing the axis now. See, all these things have been removed. Why have they been removed? Now you
[02:41:46] know the reason because this is your access. If you turn it on, you
[02:41:51] will see your units and you will also see your headings. After that, access
[02:41:55] title, access title, I had told you that your sales are written here. Your years are written here.
[02:41:59] But if you are not able to understand this, if you want to write here
[02:42:04] that this sale is written. Maybe this purchase is written. If you want to write here, then
[02:42:09] you will have to turn on the access title. This is the title of your y axis. This
[02:42:14] is the title of your x-axis. If you want to check any title, change it, write anything, then
[02:42:18] what do you do? Suppose I want to write in this, then you have selected it. Is it
[02:42:21] like a text box? You double click on it, your cursor will go inside. Now you
[02:42:26] can write whatever you want here. You have to write year. You have written year in the same way.
[02:42:31] If you had to write cell here, I would have double tapped. This is in printed way
[02:42:36] but still the cursor will go inside. Whatever you write, you can
[02:42:40] keep writing in the normal way. What difference does it make to you? It was being written in that way. If you
[02:42:43] write in the normal way, you write cell here, then cell will be written here. Now suppose you
[02:42:51] want to show it here in a different way, then you click on it.
[02:42:55] See, whatever formatting you want to do, either do it with formatting,
[02:42:59] there is no problem, or like there is shape fill here, then you can use it.
[02:43:04] So here inside it, the shape has gone behind in this way. After that, if you want
[02:43:09] to do the text with some other color, then do it like this. But this will create a problem again and again.
[02:43:14] So let's do one thing. We will do a small easy thing. How will we do easy work?
[02:43:18] Click on this and select the work that you do in normal formatting. Do the same
[02:43:22] thing, you can do it from the home tab here, if you want to fill any colour, fill the colour
[02:43:26] , if you want to write something, do this, if you want to make it bold, make it bold, make it italic,
[02:43:31] if you want to underline, if you want to write in some other way,
[02:43:36] look, you can do everything so you don't have to take so much headache, I
[02:43:41] had said that I will tell you all the work but I will tell you in an easy way, so
[02:43:46] do it directly from here, here you know the formatting, where are you getting troubled, you
[02:43:50] do it from here, I will turn off the access title, I don't want the access title, but I
[02:43:54] told you that it is not just about the access style, wherever it comes to formatting,
[02:43:58] wherever it comes to text, if you want to make any changes in it, then it happened in the same way,
[02:44:02] even if I have to change the values here, I can do the same like this,
[02:44:06] look I have done it, I have to do these as well, so look I wrote together and did these as well,
[02:44:13] so whatever I want to change wherever something is written,
[02:44:17] except the visual representation, that is, except the graph Wherever anything is written, you
[02:44:21] can edit it directly in this way,
[02:44:25] there is no need to go to a different format and change it somewhere else, after that go to the plus option that comes to you
[02:44:29] After that you have the chart title, chart title, what is the title of this chart,
[02:44:35] cell cell is the chart title, if you want to change this as well, if you
[02:44:40] want to write something else inside it, double tap and you can write anything, you
[02:44:44] can do any kind of formatting and that is your chart title, okay, there
[02:44:48] are further options on the chart title, above chart centered overlay and above chart, if you want the chart
[02:44:55] to remain only till here and the title above, then above chart low centered overlay, if the chart remains till the top or
[02:44:59] is shown in the middle, then take it as you like, okay, it depends on you,
[02:45:04] in which way you want it, there will be options like this, if you
[02:45:08] want primary horizontal, if you want primary vertical, then look, if you want this vertical one, if you want only horizontal one,
[02:45:13] then you can do this, if you go to more options, then in this way this window
[02:45:18] opens, nothing different opens, so we
[02:45:21] will see how to work in that window, okay, after that comes data label, data label means this, first of all
[02:45:25] I should close the access title, data label is that from which it is made, if I If I talk about 202
[02:45:30] , the bar of 2021 is appearing in this manner, so from which value
[02:45:34] is it made, it is made of 1 lakh, okay, if I talk about 2022, if this value is this bar till here,
[02:45:39] then from which value is it made, it is made of 1.5 lakh, so that value should come here
[02:45:43] automatically, so that is your label, what is it called, it is called data label, now
[02:45:47] what is data label, there are options ahead of it, if you want to do it in the center, it should come in the center,
[02:45:52] the inside base should remain inside but at the end, the inside base should remain inside but
[02:45:58] should remain towards the bottom, the outside end should remain outside, the data should remain in the format of call out call out
[02:46:03] and in the more option, so obviously this window comes to you,
[02:46:07] we are going to see all the options inside it further, okay, I understood, I do not want it in this way, I
[02:46:12] turn off the data label, just like in the data label, the
[02:46:16] thing from which the bar is made comes inside the data table, so that entire table will come below
[02:46:20] in which the value on the x-axis And the value on the y axis would be showing both of them.
[02:46:25] So take it in the data table. You can see that your year was there and your
[02:46:29] sales were there too. After that, you get error bars. Error bars show
[02:46:34] any kind of deviation, how much it is changing or how much it can change.
[02:46:38] These error bars show it. We don't show it as much. We call it grid line.
[02:46:42] The lines that you see behind, we call them grid lines. Even
[02:46:45] the lines that we see in our cells, we call them grid lines. So if you want to turn off grid lines,
[02:46:49] you can turn it off. I have turned it off. After that, legends
[02:46:53] are for what are they showing the color of what? Suppose I change it to some other
[02:46:57] color right now. For a second, how did I change this color? What did I do? I will tell you later.
[02:47:03] First, just understand this. I changed it to some other color. So, it told me each and every
[02:47:07] thing. This one is blue. This one is blue. This one is blue. It is showing our year 2025.
[02:47:11] It is showing this color. So What do legends do? If you have
[02:47:15] more than one color in a chart, then you have to see
[02:47:19] what a particular color is defining, what is that color telling, so in such a case you
[02:47:23] use legends and the trend line how your data
[02:47:26] is moving and you can do trend lines in different ways, be it exponential, linear,
[02:47:30] linear forecast, two period, you
[02:47:35] can use whatever type of trend line you want, so here you have completed the chart
[02:47:39] element for now, here now when it comes to chart styles, we have
[02:47:44] completed the chart element, after that we will do chart styles and after that we
[02:47:48] will do all this editing, we will learn all this on this basic chart because it
[02:47:52] is very easy to understand on a basic chart, so that then later we
[02:47:56] can easily do all the advanced charts, sorry not health styles, chart style,
[02:48:01] what is inside the chart style that you do not have to do the formatting yourself, here
[02:48:05] you will get formatting directly if you want. You can directly
[02:48:09] do formatting in this manner. Whatever you see, just click on it and your
[02:48:13] chart will be transformed in the same manner. OK, you have turned on data labels, I guess,
[02:48:18] so from here we will turn it off. And after that, look, click on these charts,
[02:48:23] go to styles and here, whatever style you like, you
[02:48:28] can directly take that style and that entire formatting will be directly available to you.
[02:48:32] Sorry, it will be applied to your chart on the system, you will not have to do anything yourself,
[02:48:37] otherwise you would have to do it yourself, so one way was that you
[02:48:43] can directly do your formatting by using the chart style, you
[02:48:48] will not have to do that thing yourself, after that you get chart filters, suppose you
[02:48:52] want to filter out and show only the data of 2022, then you can apply it,
[02:48:56] your same data will be visible, if suppose you want to show it with 2021, you apply it,
[02:49:02] it will be visible in this way, so it is totally up to you, if you want to apply some filters,
[02:49:07] then you can show it from here, if you apply it in the series here that you
[02:49:12] do not want to show anything, then in this way series one will come and here your data
[02:49:17] will start appearing in this way, so it is totally up to you, there is nothing like this here that you
[02:49:22] do something like that yourself, I mean there is no standardization, whatever type
[02:49:29] of filter you want to apply, you apply it and get the work done, your work will be done in that way, okay
[02:49:33] , here we have turned off the chart title from there, Basically turn on the chart title,
[02:49:38] that's it, okay. So let's move ahead. We have taken the data separately and
[02:49:44] have created a separate workbook. So, we are going to understand all the charts here.
[02:49:49] We have already done the bar chart and column chart very well. Now, what we will do is pie chart.
[02:49:53] If I tell you where pie charts are used, then
[02:49:58] use it wherever you have less data. Because when there is more data, then
[02:50:03] many colors will be filled inside that wheel, inside that circle and then it
[02:50:07] will not give you such a good result. So, in such a case, wherever you have less data,
[02:50:12] you can use it. For example, if I talk about
[02:50:18] the data that you had till now, you know, when I talked about category, we had three
[02:50:22] categories, which is fashion, decor and electronics, but if we talk about the products
[02:50:26] of that, then there were minimum three to four products in each category
[02:50:31] . That means, if I total it, it becomes 3 * 4, which is 12 products. So, if I talk about
[02:50:36] the products, If I show the chart in pie, it will not look good, but if I
[02:50:39] show the category in pie, it will give me a much better result. That's all.
[02:50:44] For this, let us delete this chart for once. After deleting, what
[02:50:49] will we do now? We will select our data. So we selected our data and
[02:50:53] went to insert. After going to insert, look from here, so that you don't get confused, always
[02:50:58] choose from here. Go to all charts and go to pie here. Let me
[02:51:03] tell you one thing, in all the charts, here on the top,
[02:51:09] you will see more charts, which are originated from this, meaning they are part of pie
[02:51:15] but in a different way. Like you have this normal pie, then comes 3D pie, then
[02:51:20] comes pie of pie, then comes bar of pie, then comes doughnut. Here we are definitely going to do two,
[02:51:26] which is a pie chart and [music]
[02:51:30] the and the normal doughnut chart and pie. We are going to do 3D pie as well, but
[02:51:37] we have chosen the data wrongly. We had taken our pie chart data, so we
[02:51:42] should have chosen this, that's why I stopped for a while and we selected this data,
[02:51:46] went to the insert tab, there is also an option of pie from here, we chose this, whatever pie you want to take, I
[02:51:50] want to take a simple one, so I took this simple pie, let me just adjust the
[02:51:54] size of the chart, so I adjusted the size from here,
[02:52:01] okay and I will do one thing, from here I will turn off the chart title,
[02:52:04] turn off the legends for now, have you turned them off for now, have you turned them off forever, and
[02:52:09] by selecting it you can increase or decrease its size and
[02:52:15] you can also adjust it, okay, I have adjusted it in this way, now I
[02:52:20] will turn on its legends so that the color comes on the side and
[02:52:24] tell me in this way, even now I have to make it a little bigger, yes, now it looks better to me,
[02:52:31] now I can zoom my screen a little, see, whatever settings you have,
[02:52:35] they are going to work in the same way in all of them, definitely know this thing Keep in mind
[02:52:40] that it is not the case that if your settings are playing in this chart, then
[02:52:45] it will work in some other chart in some other way, no, the work will always be done in the same way,
[02:52:50] like if I have to do a section, then see there are bubbles on all of them, if I
[02:52:55] have to select it, then I will have to click on it and my work will be done, if I have to change the color,
[02:52:58] I will right click and from here I can change any color by going to fill.
[02:53:03] I want to change the outline. I can also change the outline. I
[02:53:07] can take any outline here. So this is my outline. Its outline was this much. So it
[02:53:10] took this much. The rest of the outline will be of this portion. Okay, so you
[02:53:15] can change it in this way. You can do any settings. By right clicking, you can
[02:53:19] go to Format Data Point and its window appears here.
[02:53:24] You can do whatever changes you want here. If you want to fill something else, you can do gradient fill. If you
[02:53:30] want to apply some other border, you can apply gradient border. You
[02:53:36] can do it in whatever way you want. Okay, so this was about your pie. We
[02:53:41] show pie when we have very little data outside. If you
[02:53:46] want to turn on data labels inside it, you can also turn on data labels. You
[02:53:50] will turn on their data labels from here. Click on this. What are data labels? Basically, data labels
[02:53:55] are those that tell about the data from which this data is made. So they
[02:53:58] are written inside the text box. So whatever is written inside the text box. If you
[02:54:02] want to make any changes in it, then do normal formatting. If you
[02:54:06] want to show the formatting in this way, then you
[02:54:09] can show it. Okay, after that you
[02:54:14] get a brush here, whose use I told you, so I like this pie very much
[02:54:18] and legends, I had also told you that I want it on the side, so I
[02:54:22] will go from here and move it to the right. There is an arrow in front of legends, you click on it,
[02:54:25] from here you can move it to the right, in this way it has come, make the data labels inside
[02:54:30] white and from here you can also make it a little bold and now it
[02:54:35] looks better, so your pie chart is completely ready, in this way we
[02:54:40] prepare any chart, if you want to change anything, you
[02:54:44] can change things by going to this plus sign here or you can click on it and
[02:54:50] go to format data series and explore all the options here, if I talk about
[02:54:55] angles in of the first slice, if you want to move the angle, like you want,
[02:55:00] this is yours If you move the wheel, then see, you
[02:55:05] can show it in the way you want. Suppose what is an explosion, right now all of them
[02:55:10] are attached, right? If you want them a little far apart, then you
[02:55:14] can also distance them in this way, as far as you want, but as close as you want, you can
[02:55:19] reduce the explosion, they will remain that close. Okay, I want less, so this
[02:55:27] seems fine to me, so I kept it as it is. So if you want to make it far apart, then
[02:55:31] use the explosion and if you want to change the angle, then you can also change the angle.
[02:55:35] Now we have seen a normal pie, so suppose I
[02:55:39] want to convert it into a 3D pie, then suppose let's try making a 3D pie once. We
[02:55:43] will go to insert, go to pie and take 3D pie from here. After taking 3D pie, obviously this
[02:55:47] size is too big. We will adjust it here on the side of this.
[02:55:56] Let me just give me a minute. Yes, I have resized its size. I
[02:56:01] don't want its chart title. I want it to be as big as this. Legends are also not needed for now
[02:56:05] because I just want to talk about it. So the same way is that if you
[02:56:09] want to change anything like colour etc. then you can use this. I have already used it.
[02:56:12] After that, suppose you want to make any changes inside it,
[02:56:16] then the same format is data series, the same angle of incidence, if you want to rotate the slice,
[02:56:22] you can rotate the slice. I like this better. If you
[02:56:27] want to explore the pile differently, if you want this pile to look different, then you
[02:56:32] can do it differently as well. It is exactly the same way. Suppose you
[02:56:36] want to show a shadow from here in a different way, then you can show the shadow from here. In whichever way
[02:56:41] you want to show the shadow, if you want to show some effect of this way, you can show any
[02:56:45] effects. If you want to show some glow by going to glow, then you
[02:56:49] can show that. So if you have to make any changes inside your chart,
[02:56:55] go to format data point or go to data series and from there you can make changes.
[02:56:59] No fill was done, nothing came, solid fill. You can do gradient fill,
[02:57:03] the way you want to fill, right now only this section is there, that is why it is happening, right now sections
[02:57:07] must be happening for everyone, so there will be changes in everything, see, changes have happened in everything, look,
[02:57:12] changes have happened in some, changes have happened in everything, so in this way, if you want to fill anything,
[02:57:17] then you can fill it in this way, if you want to put a border of any kind
[02:57:20] If you want to apply an outline, you can apply that as well. Okay, did you understand? In this way, we
[02:57:26] create our 3D pie. Now, inside this, you have a donor chart. So, we
[02:57:32] will definitely create a donor chart. We will complete it here itself. So, I have this data.
[02:57:37] I have selected it. See, the data is very less. That is why I say that the donut
[02:57:41] chart and the rest of the charts will look good here. So, we have taken the donut chart here. Alright, this donut
[02:57:45] chart does not look like a donut for now. If you look at it carefully, you
[02:57:49] will feel that I am creating an onion ring chart. The smaller this ring is, it
[02:57:54] looks like an onion ring. Okay, we will keep it here. We will close its chart title
[02:58:00] and also close the legends. And we will keep it in the middle.
[02:58:06] Its size a little bit. And we
[02:58:16] will, sorry, yes, it is okay now.
[02:58:24] Okay, adjust it here. So, here is your pie. It has still not adjusted properly.
[02:58:30] So, brother, we do not have to take the whole thing here. We
[02:58:35] have to take it here. Okay, now your pie is ready. So, it is the same way. All the things
[02:58:40] will change just like a pie. There has been a change in it. I don't want this onion ring. So
[02:58:45] I can right click on it and choose something else from here. I can
[02:58:49] choose this as well. But right now the legends are on in it. Everything is on. So
[02:58:55] let's turn it off. Okay. But even now I can say this.
[02:59:00] Suppose, what I have done in this way, I have directly
[02:59:04] picked up some formatting. All the things were in it. If I had to do it myself, then it is the same.
[02:59:09] Right click on it. Go to Format Data Series. Go to this last point.
[02:59:14] This is the angle of the first line. You know, this makes your circle rotate. Rotate it. If
[02:59:19] you want to spread them apart, then spread them apart.
[02:59:24] You know, I have already told you about the explosion. This is the donut hole
[02:59:27] size. If you see this empty space in the middle, if you want to increase it,
[02:59:32] you can increase it. This onion ring was formed by increasing it. The more you reduce it, the more it
[02:59:37] will look like a donut. So, for now, it looks like a donut. So
[02:59:42] in this way you can increase or decrease its explosion angle or the hole in the middle
[02:59:48] of the donut. All the other
[02:59:52] settings are the same for all the charts. You can color it, you can make
[02:59:56] a selection. But the main difference is in this last
[03:00:01] option. In size and properties, it is
[03:00:06] particular to the particular chart. So we have to take care of it a little. All the other things
[03:00:09] are sorted. Now let's move on to the next chart. What does a line chart do? A line
[03:00:14] chart shows you any kind of trend. Okay, so we have
[03:00:18] selected the data here. We will go to insert and then to extension.
[03:00:21] After that we will go to the chart and here we see the line. In line
[03:00:26] also you have many options here. You can select it in any of them.
[03:00:30] You may be seeing a normal line chart, but here we
[03:00:34] take a chart with a marker because we also want to read about the marker. And we click
[03:00:37] OK. What is the benefit of a marker chart? Inside it,
[03:00:41] markers appear in this way which show you different points. So which is a very good
[03:00:46] thing. So we are going to talk about a marker here. There
[03:00:53] were two data here. We have shown the year also as a data in this way. So what will we
[03:00:59] do? We will right click and go to select data here. And here
[03:01:06] it has shown the year. So we will remove the year. And we click OK. So
[03:01:12] here it is easily showing me all the data. Here,
[03:01:18] the data of 2015, 2016, 17, 18 has come and here it has shown me this chart. Now we
[03:01:22] are going to understand a little about this chart. All these markers that you are seeing, see, I
[03:01:27] selected one and all got selected. If I want to select only one, then
[03:01:30] I will have to click on it again. It is the same thing which is in all the charts. If
[03:01:34] I want to change its color, then I can also change its color in this way.
[03:01:39] But there is no need to learn this thing here, we will not do it in this way,
[03:01:43] you click anywhere, right click, go to format data point,
[03:01:47] after that the window that comes up here, you will go to fill here, then
[03:01:51] you get this option directly, if you want to make some changes in the line then
[03:01:56] do it in the line and if you want to make some changes in the marker, then do it in the marker, line value
[03:02:00] Look, I don't need any line, look, it has been removed, but one line has been removed because it
[03:02:05] is not completely selected. So do one thing, select it again, click somewhere outside, now
[03:02:10] select once, see all are selected, now whatever change you make here
[03:02:15] will appear in all. If you make no line, it means there is no line, it means there is no line, if you make a solid line,
[03:02:18] if you want a gradient line, then a gradient has come. Okay, I like gradient, we
[03:02:22] can keep that. In gradient also, it depends on you what kind of colour you want to use.
[03:02:26] You can adjust your colours in this way, what kind of colour do you want to show.
[03:02:31] Okay, okay. After that, you get markers, which you see round,
[03:02:36] these are markers, these are indicating different points. So, click on the marker,
[03:02:40] then the options of the marker will come up. If you click on the line, then the options for the line
[03:02:45] will come up. Whatever you click on, whatever you choose above,
[03:02:49] there will be all the options related to that below. Whatever change you make, it will change in that. If I
[03:02:54] change anything from here. So all the changes that will happen will change in the line, but
[03:02:58] if I select the marker here, then whatever changes I make, everything
[03:03:02] will change in the marker, like if I go to the marker option, if I don't want a marker here,
[03:03:07] then do no, built in, that means you want some other type, suppose you want a triangle,
[03:03:12] do triangle, if you want to increase the size, see the size is increasing, if you
[03:03:16] want to decrease, you can also decrease, okay, so in this way it depends on you
[03:03:23] how you want to show it, if you want to show diamond shape, you can show diamond shape, in this
[03:03:26] way your markers will appear, if you don't want to fill any color inside the markers, make it
[03:03:31] zero, if you want to fill solid, do solid fill, if you want to fill gradient,
[03:03:34] do gradient fill, if you want to do any color yourself, vary color by the point,
[03:03:40] a different color should come on every color, you can turn that on as well,
[03:03:44] okay, we had taken gradient fill here, no, I wanted gradient fill for the line
[03:03:50] and for the marker, I want only color, I
[03:03:56] want solid fill, yes that looks better, so I I have taken this and later if you
[03:04:01] want to show an arrow that is begin arrow type then the arrows should also be visible that they
[03:04:06] have started from the form of arrows or the begin arrow size is known so in this way you
[03:04:12] can do many things, right now I am not liking its outline at all
[03:04:16] so I will go here, go to marker, inside fill it is fine but I
[03:04:21] want the border to be without line so now see it has remained blue only, no line has come
[03:04:26] and my chart is completely ready so it is totally up to you that what
[03:04:30] formatting you have to do what type of chart you have to show but whenever you
[03:04:33] have to show something in trend if I talk about an example then suppose you
[03:04:37] want to show profit then you show in which trend we are getting profit,
[03:04:42] if you want to show any growth then you use line that with which trend we
[03:04:47] are growing so anywhere if we have to show any type of trend then we
[03:04:52] use our line chart there now let us move towards the next chart
[03:04:55] here which is of the same type What does an area chart do?
[03:05:00] Wherever you want to show volume, you can use it.
[03:05:03] Select it. Go to insert. Click on extension from here. From here,
[03:05:08] go to all charts and search where it is written 'Area'. You have
[03:05:12] taken area and what type of area do you want to take? You can select it from here.
[03:05:16] This one seems right to me, so I have taken it. Okay. My chart
[03:05:20] is here. Let me just resize it so that we can easily see it and understand the difference.
[03:05:26] So, look, your chart is here. Okay, so what is this chart telling us now
[03:05:31] ? We were low in quarter one. We were almost the same in quarter two.
[03:05:36] We got the biggest jump in quarter three and after that we went down a little bit. But still,
[03:05:42] we were above quarter two and above quarter one. So, this
[03:05:46] shows us the volume. This is telling us the volume. And if anything is changed in this,
[03:05:51] you can check the size and properties. There is nothing special about it, the rest are normal changes. But
[03:05:56] learn to read it. See. You have already known the basic things that were there in the chart, the elements
[03:06:01] that are there, the settings. Now what you are learning is that you
[03:06:05] are learning to read the charts because that is more important. Now you know how to do it,
[03:06:09] but which chart should be made when and if it is being made then what is its meaning?
[03:06:13] It has become more important to understand in data analysis, that is what will be useful for you. So
[03:06:18] you can look at quarter one and I had talked about quarter four, look, this
[03:06:23] is 955 and this is 11396, that is why they are very close,
[03:06:28] that is why I said that this is close to first but a little higher than that. Now
[03:06:33] suppose I make it 1955 555 here, then look, now this is above
[03:06:38] and above this one as well and this seems to be close to this one. This seems to be close to this one
[03:06:44] but a little higher. Okay, if I make this 80,000, then look,
[03:06:51] this is below. 80,000 is huge, I guess let's make it 25,000. So look, it
[03:06:59] was this much here, then it went up a little, then it is coming down, this huge, that did not make any difference. Now
[03:07:05] look, it was at the top first, then it went up here, then it suddenly came down, it was 19,500, then it
[03:07:10] went a little to 25,000, then it suddenly came down, then it suddenly rose. So as your
[03:07:15] data is coming here, a steep down or steep right appears in it and
[03:07:21] by looking at it you can understand how much we have done in that data and it
[03:07:25] will show you as a volume, that is your area chart and read it in this way, okay you
[03:07:30] should know how to read data, you should know how to read charts, if your chart is not able to tell your story
[03:07:34] well, this chart is telling me well that
[03:07:37] there was a point here, then we went up a little, then suddenly there was a steep down and then
[03:07:41] went up a little, but the rise that we have made is less than the first point, so see, the rise that we have made is
[03:07:44] 11000, this is 19000, so it is less, so this chart
[03:07:50] was telling me this thing as soon as I saw this, that means I have made a good chart which
[03:07:54] is telling its own story, for that I do not need to look at the data, even without looking at the data,
[03:07:58] if your chart is telling your whole story, that is a good chart, okay, now let us
[03:08:03] move towards the next chart, scatter chart, it is very important to learn scatter chart,
[03:08:07] it is a good chart This is a great chart and very easy too, you have been doing it since forever and I am
[03:08:14] really sorry for that, just give me a minute alt o ca so my data has been adjusted,
[03:08:19] I have corrected its alignment, okay, now I have the data and I
[03:08:23] select this data, control shift side arrow and down arrow and
[03:08:27] go to insert and from here I will select the scatter one, see, it has also
[03:08:33] given me scatter as the first suggestion, so from here also I can take the x and scatter plot
[03:08:39] and from here I want this one and I clicked okay, so
[03:08:45] what does this chart show, what does it tell, before understanding this, let's take an example,
[03:08:50] let's remember our school days, it will be a little better when we
[03:08:54] used to work in our graph notebooks, remember it a little because I
[03:08:59] am going to remind you of that, I remember in school, when we used to plot things in graphs
[03:09:04] , how it used to be, this is our zero, this is our x axis and this is
[03:09:10] our y axis, now suppose I had something like Year number 21 22 23 24
[03:09:18] and 25 and I used to have data here 1 lakh 2 lakh 3 lakh 4 lakh 5 lakh now suppose
[03:09:28] there has been a sale here in 21, like in the year 202 I had a sale
[03:09:35] of 3 lakhs, then my point used to be created here and I used to write here that in 2021
[03:09:41] there has been a sale of 3 lakhs, which is 2021 on the x-axis and 3 lakh is no is on your y
[03:09:47] axis. If I talk about 2022, suppose it has been 2 lakhs, then my point will be created here
[03:09:52] and I will get points 22 which is 2022 and here 2 lakh will come
[03:09:57] which is on your y axis. Similarly, suppose in 23 you
[03:10:02] have done a sale of 5 lakhs, then your point will be created here and you will write that
[03:10:08] in 2023 and 5 lakh 24, suppose there has been a sale of 1 lakh, then your point will be created here, which is your 24 and
[03:10:15] 1 lakh sale and in 25 suppose sale of 4 lakh happened then your point will be formed here
[03:10:20] which is your 25 and 4 lakh so the points that you are seeing, these are the ones that you had
[03:10:26] scattered, these were the points that you made by looking at this chart so you remember everything and
[03:10:32] by looking at this chart you think what has come, where would this be from this
[03:10:36] is not at all correct, you come see this chart, inside this chart also it is exactly the same thing, as soon as
[03:10:41] you go to these you will see a plot that
[03:10:45] 1189 1189 and 12612 what does it mean I
[03:10:51] spent ₹1747 and after spending so much, the sale that I got
[03:10:58] was of ₹41551 that means if I have spent ₹1747 then the sale that I
[03:11:05] have generated from that which is ₹41551
[03:11:10] if I have spent ₹394 then the sale that I got
[03:11:14] is It came for ₹21394 if I
[03:11:19] I have made a sale of ₹4632 and in return the sale that I got was
[03:11:23] ₹1556. So this is your ads spend and your sales are
[03:11:32] on your y axis and the x axis is your ad spend. So if you spend 1000
[03:11:38] then the sales amount is plotted here and all these points, for example,
[03:11:43] if I went to this, here I can see the point 1975. So I spent ₹175
[03:11:50] and in return I got ₹21000. This is your ₹175 ₹21000 and I guess this
[03:11:56] was the point. No, this point was not there either. I guess this was the point. I just lost that
[03:12:03] point. Yes, this was the point. After spending ₹175, I
[03:12:08] got sales of ₹216. You can see this. There is nothing here.
[03:12:13] Some people get confused after seeing the scatter. And I don't know why they get confused,
[03:12:17] either it has not been explained to them in a proper way that this is what we used to do in school,
[03:12:22] or you have had fun in school and not done any work, that is why you are getting nervous,
[03:12:28] or else remember your old graph books how to do plotting because
[03:12:33] we have done these things for a very long time, so we remember it, only when it comes in front of us once
[03:12:38] and only points are visible, there are no pointers written anywhere and
[03:12:43] we have completely forgotten that topic, so we feel that we
[03:12:47] don't understand what this scatter chart shows, so when you want to show both the variables,
[03:12:53] what impact did one have on the other, then you should use scatter chart,
[03:12:58] like it was here, if I could find out how much my sale was, then what would I have achieved,
[03:13:03] if I could find out how much I spent on advertising, then what
[03:13:07] would I have achieved, nothing, no information is coming out in itself, there
[03:13:12] is a single information which can come from any other chart also, but to me What
[03:13:16] I wanted was that if I spend this much, how much benefit am I getting?
[03:13:21] If I spend this much, how much is my sale? If I want to know this,
[03:13:25] I need to know two variables. In such a case, we
[03:13:30] will have to do plotting. We will see some chart with plotting and
[03:13:35] where can plotting be better than scatter. That is why we use scatter chart in such scenarios.
[03:13:39] I hope you have understood it. If you do not understand it anywhere, please let
[03:13:43] me know in the comment section and I guess you must have understood all the plotting. This plotting
[03:13:48] is good. Okay, now let us move towards our next chart.
[03:13:53] The waterfall chart is coming. I will rename it for once, which is waterfall.
[03:13:58] What is waterfall like? Like if you have seen candlesticks,
[03:14:03] if you know about stocks etc., then you must have seen candlesticks. So the way it
[03:14:08] is represented, our waterfall chart is like that. Select this data,
[03:14:13] after that you go to insert. After going to insert, click on this option from here.
[03:14:19] Go to all charts here and choose waterfall from here and click OK.
[03:14:24] After clicking OK, you will see that here, OK. We had chosen data color.
[03:14:31] Just give me a minute, let's take it back. We clicked Control A and inserted it.
[03:14:36] We went to extension here. After that, we took Alt Charts and from here we
[03:14:42] want to choose waterfall. So where is waterfall waterfall waterfall and click OK. Now
[03:14:48] what does waterfall chart do? It shows cumulative. What does cumulative mean?
[03:14:52] First understand the meaning of cumulative. I am writing some values here, which is
[03:14:57] 2000. Then I write 4000. Then I write 6000. Then I write
[03:15:03] - 7000. Then I write -10. And then I write 2000. So now
[03:15:12] see, let's find its answer. This 2000 is going to be 2000. 2000 + 4000 2 + 4
[03:15:19] is 6 so 6000 6000 + 6 which is 12000 12000 - 7 which is 5000 because plus minus
[03:15:27] is 5000 - 1000 which is 4000 4000 + 2000 which is 6000 So in the end how much money should you
[03:15:35] have? It should be 6000. So this was cumulative, which means
[03:15:40] you move forward by adding each value. So that
[03:15:46] is your cumulative thing. It is cumulative, so in the same way, in 10,000,
[03:15:50] initially you got a profit of 10,000, then the profit became 20,000
[03:15:54] , but then there will be a direct loss of - 25, after that there was a profit of 30,000, then
[03:16:00] there was a direct loss. 16,000 so at the end what you are left with is 19,000. So see
[03:16:05] here it has told me the complete total. Okay, our total will be left at 19,000.
[03:16:11] So in this way our candlestick is made which takes us to each level.
[03:16:16] It tells us its cost, so in the same way we get this data where
[03:16:21] we want to show the result that how much it went up, how much it went down,
[03:16:26] we want to show a flow of that thing with cumulative thing, so there we
[03:16:32] use our waterfall chart, we use waterfall chart, if you
[03:16:36] have any doubt anywhere, please let me know in the comment section, we are going to learn the chart
[03:16:40] which we also call combo chart and we also call it to access chart,
[03:16:45] if you select this data and go to insert and you
[03:16:50] go to extension here and take all charts here, in the last you will see a combo chart
[03:16:55] and you can select it in this way, so your chart will be created here,
[03:16:59] it will definitely take some time but here now that combo chart has been created
[03:17:04] in a normal way, both the charts have come, but now what you can see here, the growth
[03:17:09] chart is visible here, one way is this, I will
[03:17:13] tell you the second way, the same work has to be done in both, so you select the data here,
[03:17:17] if you want the combo thing If you don't understand, go to insert, from here
[03:17:22] take a normal column chart, take a normal column chart, in this also we
[03:17:27] are going to make the same changes which you would have made if you had taken a normal combo chart. So there
[03:17:32] is nothing different. Here we are learning two access chart basically, and
[03:17:37] why is it called two access, why is it called combo, and when is it created, and
[03:17:42] how is it created, we will talk about all these things here. See, first of all
[03:17:47] we are saying combo, just because we are showing two, look, we are showing for January and February,
[03:17:51] but here we are also showing the revenue and the percentage of growth,
[03:17:54] meaning we are showing two types of data. Now if we talk about it here,
[03:17:58] by looking at the color here, you can tell that the revenue is of blue color, so you can see the revenue
[03:18:02] but you are not seeing the growth. How much injustice is this, if you
[03:18:08] have created parameters here, 10,000 20,000 30000 40,000 5,000 that Means it is in the gap of 10,000
[03:18:13] so it is easy to show it because it is also of the same level
[03:18:19] but is it easy to show it there itself, so I am showing
[03:18:23] 3,9,692 and I want to show 8 at par with it
[03:18:27] , if my parameter is 10,000, my 10,000 this small area of mine is 10,000
[03:18:33] then where will the 8 be visible in it, so it means now you will say that orange is not there at all here, red
[03:18:38] is not there at all, if I make it 19,000 here then it will be visible, it
[03:18:44] is not visible because it is 19%, it is 19, only 19, so
[03:18:49] it will not be visible in this colour, so in such a case I will see this also, so what will I do in such a case, I
[03:18:55] will right click here, that means click once, all your bars have been selected,
[03:18:59] right click, go to format access, after going to format access,
[03:19:06] you have to go to the very last option, okay one
[03:19:11] second we did not have to format access, we will right click and change series chart
[03:19:16] type Go to it, a window like this will open up for you in which the names of both
[03:19:20] will be there at the bottom. Now tell me one thing, with whom is the injustice happening? It is happening with growth. Now here
[03:19:26] we get the option to make it a secondary axis. Now
[03:19:30] why are we making a secondary axis? Understand a little story. I just told you that both of these
[03:19:34] should not be on the same scale. So if I keep my revenue axis here
[03:19:39] and create another axis on the side in which I can keep the growth parameters
[03:19:44] and the gap in between can be adjusted accordingly, then my work will become easy.
[03:19:48] The answer is yes. Definitely, in such a case, you will right click and
[03:19:52] go to change series chart type. You will turn on the secondary axis for your growth chart.
[03:19:56] Now you have options. Now you can see that your chart is appearing in this manner. Now
[03:20:01] you have options. Do you want to show your growth chart in a bar in this manner?
[03:20:05] The answer should be no because I just told you a while ago when I was showing a line chart
[03:20:11] I had taught you and I had told you that when we show
[03:20:15] things like growth and profit according to the trend, we have the option to show it in which way we
[03:20:19] want to show it. We have a lot of options and we
[03:20:23] can show it in whichever way we want. We will take a marker line from here and now we will see it in this way.
[03:20:29] If we click OK, then see, now both your charts are visible here.
[03:20:33] This side access has been created for your orange chart, which is your growth one.
[03:20:38] Chart and if we talk about your revenue, then this type of chart has been created, now
[03:20:43] all the changes that are to be made in it are exactly like what you
[03:20:47] have read in the line chart, nothing is different, you have to right click,
[03:20:51] go to format data series, go to fill here, there are lines, markers, if you want to change anything,
[03:20:56] you can change it, everything will be in the same way, but
[03:21:01] the thing is that now you have to create two axes at one place so that the growth
[03:21:07] related to you can also be judged, it can also be shown here, along with that
[03:21:12] your revenue related can also be shown here, so from here you will know
[03:21:17] how your profit is flowing, if I talk
[03:21:22] in terms of April, the seal is the lowest but it
[03:21:27] is doing quite well in terms of profit, in March it is going quite well in terms of profit because
[03:21:31] in terms of profit you can see that you March and April I just said it without
[03:21:36] even noticing about the data, I did not even see it there, I just did it here I told this story by looking at the chart.
[03:21:40] If I am able to tell this story by looking at the chart, that
[03:21:45] means I have made the chart very well because if your chart
[03:21:49] is not made that well, if your chart is not telling your story, that means
[03:21:55] there is a problem in your chart, you will have to make that chart better, so that your story
[03:22:01] can be understood by looking at the chart itself. Okay, so here we
[03:22:07] have completed our combo chart, that how can we show two things in a single chart,
[03:22:12] that too with two accesses. If you have any doubt anywhere, please let me know
[03:22:16] in the comment section. Now let us move ahead, what we are going to do is
[03:22:21] thermometer chart and this chart is not such that I will click on any option here
[03:22:26] and your chart will be created. It is not like that at all. You will have to create the data yourself.
[03:22:30] Let us also see how to create the data. You do one thing. Okay, so what are we going to do here?
[03:22:36] What are we going to do? We will create data. Obviously, we create two types of data here.
[03:22:41] One, we create it and write it here. We
[03:22:45] do not write from here. We write it from here. A B C D E is enough and here
[03:22:53] we write standard. Here we will write
[03:22:59] our particular standard of anything, it was 1000, then it was 2000, then
[03:23:06] it was 1500, then it was 1700, then it was 2500, but what
[03:23:14] was our actual standard? Here it was 800, here it was 1200, here it was 700, here it was 2700 and here it was
[03:23:25] 2400. Okay, here we have created a data and
[03:23:29] we took it and adjusted it. Okay, we did alt HB A, alt HBT
[03:23:35] , so we have created the data. Now we take it and start making a thermometer.
[03:23:41] Now before making a thermometer,
[03:23:46] let's understand a little about what a thermometer is. Okay, suppose I give you an example,
[03:23:51] I make a thermometer here. Bakar means glass, this is glass, okay
[03:23:57] , glass, this is glass, standard glass, what does standard mean? I say this
[03:24:05] is a glass in which 1 liter of water can come, 1 liter, so what is its maximum size?
[03:24:12] Maximum how much can we go? 1 Upto a litre and I say I
[03:24:18] filled this much water in it
[03:24:25] , that means the remaining portion is empty and here I have filled half, so
[03:24:31] by looking at this what can you say that there is 500 ml water in it and 500 ml is empty, so
[03:24:37] basically the empty container that is your standard data, you thought I will sell 1000,
[03:24:42] that means I will sell this much, but the sale
[03:24:47] was only this much, the sale was this much portion, that means how much did you sell, you sold only 500, so
[03:24:53] that is your thermometer, what does a thermometer do, it takes an empty container, so we
[03:24:58] can write standard, meaning any thing which can be maximum this much or any
[03:25:02] standard thing and we fill the actual thing like
[03:25:08] take another example, tell me this is a chocolate bar, you buy it, you are a businessman and you
[03:25:15] buy this chocolate bar for ₹60 and then a customer comes to you, you sell it to him
[03:25:19] for ₹100, so ₹100 is the Sale price is ₹60 is your purchase cost, so how much profit did you make? It
[03:25:26] was ₹40, so basically if I make a buck, then what would be the standard, I mean
[03:25:32] how much maximum did you earn, ₹100, so 100 is your buck, 100 is your standard, out of which
[03:25:39] how much was the purchase cost, total how much did you earn, 100, out of which your purchase cost was
[03:25:43] ₹60, your purchase cost of ₹60 was spent, so what is the remaining portion for you,
[03:25:48] it became profit, that 40% is your profit, so first thing you should understand is that it is a buck for him
[03:25:54] When something actually happens inside, you fill it and the remaining
[03:25:58] portion appears, which is your resulted portion. The first thing, the second thing, you are seeing the
[03:26:04] bucker, right now when we were taking any shape, when we were making any kind of chart,
[03:26:09] there were two types of settings, one was fill and the other was
[03:26:12] border right in fill, so if I want to fill, then the blue color which I am filling inside,
[03:26:18] that is fill and if I talk about the border, then the things which I
[03:26:23] am doing from outside, that is border, so fill and border, now tell me one thing, you made a bucker, you made this,
[03:26:28] so you made a bucker here, so what have I used now, I
[03:26:34] used fill or border, obviously I used border,
[03:26:37] there is no color filled inside, well for the second one, I had just made a bucker of sale
[03:26:42] and in this I have to highlight the purchase, so I took the purchase and I
[03:26:47] had highlighted only this much in this way, so now I have used fill or
[03:26:51] used border, used fill, so In the same way we
[03:26:56] will see in our chart, let's see the chart carefully now you will understand a little better
[03:27:02] here I have any thing its standard and actual is standard and
[03:27:05] actual I selected it went to home and from here
[03:27:09] sorry don't go to home I have to go to insert from here I took the column chart
[03:27:14] after the column chart is here now tell me one thing standard always becomes a bucker
[03:27:21] or actual bucker is formed if there is a 1 liter glass if you put 500 ml thing in it or
[03:27:27] if you put 1 liter thing inside 500 ml then actual will be put inside the standard so
[03:27:32] which is the standard inside it is the blue one and what is the actual one is the red one okay first of all you
[03:27:37] bring them on top of each other now look here I talked about that I say this
[03:27:42] empty bucker is the sale which is inside is the purchase but it is
[03:27:46] not like this right next to each other it is visible on the sale side and sale is visible on the purchase side
[03:27:50] both are visible at the same place right so first of all these also both are visible at the same place You will have to do it at one place
[03:27:54] . To do it at one place, you can click anywhere, right click,
[03:27:58] go to format data series and make the overlap full, then these will come on top of each other. Once
[03:28:03] they come on top of each other, you can change the color for once by clicking on it.
[03:28:07] I will make it orange, bright
[03:28:12] orange, that looks. Now you can see that it is actually orange color
[03:28:16] and your standard is blue color. Now tell me one thing, who
[03:28:23] needs only a border here? The standard of sale price is standard, right?
[03:28:27] We have to give only a border line to the standard, we don't have to give it any color.
[03:28:31] So in such a case, what is the standard here, it is blue. If you select it, then see,
[03:28:36] all the marks are on top of blue only. Look, this blue is inside it, just because
[03:28:40] orange is outside here. So look, here we are getting bubbles, it means blue is selected,
[03:28:44] right click inside fill from here, then you
[03:28:49] can do no fill from here, fill, do not do anything by going inside the outline, how
[03:28:54] thick do you want the outline to be or do you want it in some other way or dash dash. If you want to show this, you
[03:28:58] have to take this outline and from here you have to take it in black colour. So
[03:29:04] in this way you have created an outline within which you see how clearly it looks
[03:29:08] that this entire portion is your standard out of which actually only this much
[03:29:13] has been done. By looking here I can see that work has been done beyond the standard. By
[03:29:18] looking here it can be seen that it was close to the standard, meaning it was actually about to be
[03:29:22] completed but it is left. And by looking here it can be seen how much is left. So
[03:29:27] in this way what you can see is your thermometer chart. But still
[03:29:33] what is the use of this. Suppose I want to show how much
[03:29:38] portion is left. If you see, I can see that the sale price is this much. If
[03:29:43] I want to know the sale price, then what will I do? I turn on the data level from here.
[03:29:46] Then my sale price will come from here. My standard also comes but this is not
[03:29:51] what I want to know. I want to know how much of this portion is left.
[03:29:55] That means If my standard was 1000 and 800 got filled here, then the remaining
[03:29:59] portion became 200. So in such a case, can I add the data level myself? Yes,
[03:30:03] you can definitely do it. You can calculate it right here, 1000 - 800 enter and
[03:30:09] drag it here. This calculation can be done anywhere. There is no problem
[03:30:14] that yes, this calculation should be equal to this here. It can be anywhere in any cell.
[03:30:18] If it is written in any sheet, you can do this work. What is the work? You just
[03:30:22] have to show them here so that your chart looks dynamic. One will show you the sales price,
[03:30:26] that means sorry, one is showing you the standard as well as the actual and along with that I
[03:30:29] will tell you that whatever deficiency is there in it, it can also show as a data label.
[03:30:33] So in such a case what will you do? You will go to the chart title, you will go to data labels
[03:30:38] but will not turn it on right now, you will go to more options in data labels,
[03:30:42] after going to more options, do not delete the value right now, will delete it later,
[03:30:46] sometimes deleting it first creates a problem, you will go to value from sales and here it
[03:30:50] is asking for a range, give this range and click ok, so this also comes, now
[03:30:56] remove the value from here and now from here remove this from here also and
[03:31:01] at the same time give me a second because the rest of the other data levels are also on,
[03:31:06] you
[03:31:08] we all have turned on, I do not want this data level
[03:31:14] and now because those other ones have been turned on, now I do not want this for this data label
[03:31:19] also, I will go to options After going
[03:31:25] to value from sale, after selecting it, we clicked ok and from here we
[03:31:30] turned off the values, so you can see here that now the values have come here,
[03:31:35] I know that my sale price was this much, sorry, it was so standard, it was so actual,
[03:31:40] so what was the deficit of 200, how much was the deficit of 800,
[03:31:44] how much is the deficit of -000 and this was a deficit of 100, if I
[03:31:49] increase it here to 2900, then there
[03:31:53] will be a deficit here also, you can see, here I increase it to 2100, so see
[03:31:58] here it has crossed and gone, so
[03:32:02] you have made a working chart, that is your thermometer chart, okay,
[03:32:08] so in this way we can make any chart, it is very easy, but here also
[03:32:13] you have learned a type of thermometer chart, this was yours, inside which you
[03:32:17] made a hollow buck, inside which you showed by filling, but here I will teach
[03:32:22] you one more thing Suppose you want a solid bar to appear, that means this is yours,
[03:32:30] what is yours, this is your standard,
[03:32:37] I have filled the standard as well, it is standard, standard standard fill, this is fine and
[03:32:43] whatever is inside it is filled, this is fill, so now I want to show you in this
[03:32:51] way, so we had shown this thing earlier also, we had shown this thing earlier also,
[03:32:55] when we did not empty it, do not show only the border, then this thing will happen,
[03:33:00] but now I do not want it in this way, I want it in this way, this is your data
[03:33:04] and whatever you want to fill, it should be visible inside it, if suppose something
[03:33:09] is going outside, then it will come out like this, so if you want to make a chart,
[03:33:13] this is just creativity, it will show the chart, it is the same data, but this is just creativity
[03:33:18] , so you can make a chart like this as well, select this data, go to insert and
[03:33:21] take a column chart from here, give me a second to the column chart
[03:33:26] and place it here, now we are going to work in this chart, there is no space inside this chart,
[03:33:32] so we will keep it on the side,
[03:33:36] we will work a little here. We will do it, there is no problem,
[03:33:43] okay, what is inside this chart that the thing that I had made a buck, I
[03:33:48] had made the standard a buck, so the standard one should be a little broader
[03:33:52] and the other one should be a little less broader so that it can be seen inside it, okay, so
[03:33:58] first of all what will I do is that if I want to make them broader first,
[03:34:02] then go to format data series and gap width, but all of them will increase, all of them
[03:34:08] are increasing, that's so wrong, so first of all overlap, after overlapping you
[03:34:13] have to increase the width of blue, so the section right now is of blue, so you
[03:34:18] can increase the gap width from here
[03:34:22] , that's correct and after that you just select the red and
[03:34:28] decrease its gap width, but now all this is happening together, why because it
[03:34:32] is on the same axis, one axis is visible, let me do one thing, I select the red,
[03:34:36] right click, go to chain chart type and
[03:34:40] make red a secondary axis and click ok. Now this has become the secondary axis, no problem.
[03:34:43] Now select the red and increase its gap width. Look, it has started appearing inwards.
[03:34:49] Now suppose you take the color by darkening the outer color a bit
[03:34:53] and make your chart a little beautiful. And you can make it grey.
[03:34:58] Take the color, this is a very good combination, a very good combination, I think this
[03:35:03] one of black and gray, so see, it will be visible in this way also, yes now
[03:35:09] for the difference thing, how much it has come out, you
[03:35:13] can apply data label in the same way, you will go to data label here, go
[03:35:17] to data label option, go to more options, here you come to sorry label options
[03:35:23] and do value from sale here and here you will take the values of the cell, take the range here,
[03:35:28] ok and removed the values from here and
[03:35:32] coming here it is absolutely perfect, well what you have shown this is for the orange one,
[03:35:38] for the gray one, so for the blue one you can turn off your data labels, okay
[03:35:42] , we have turned it off for the blue one, we
[03:35:47] should have done something for the orange one, so for the gray one also we will turn off the data labels for once, now we
[03:35:51] will select the gray one, let's do it again so that there is no confusion, we
[03:35:56] will go to more options, go to more options, we will go to the last option and take value from sale here
[03:36:00] and give our data range which Is this and we will do ok and from here we
[03:36:07] will remove the values so see, now you can see your data labels in a very correct way,
[03:36:12] you can turn off the grid line from here,
[03:36:16] okay, you can also remove the chart title here, so in this way you have another
[03:36:21] thermometer chart ready, it's totally up to you, what type of chart do you want to show, do
[03:36:25] you want to show it in the form of bars or you want to show it in the form of solid bars here
[03:36:30] and you want to take it out in this way, it's totally up to
[03:36:34] you, but if you want, you can create a chart in this way, now let's move ahead
[03:36:39] towards our chart, which is being presented in front of all of you, which is a
[03:36:44] negative chart, what is a negative chart, see, almost all the charts
[03:36:50] come out of your column chart, so you make a column chart and please
[03:36:54] let me adjust its size, see, now it will come to your mind that the negative value, we
[03:37:00] have to show it as 100, sorry, we have to show it in red, so what will you do, you
[03:37:05] will select it like this, give it red color and go to fill here and make it red, do this also like this
[03:37:10] And then suppose one day the data changes somewhere and the above one becomes -1350,
[03:37:16] then your data has not changed at all. Ok, fine, I have done the same. Let's
[03:37:22] make it 700. Let's make it -1350. So now the whole story has changed for you
[03:37:28] because it was negative. It should have turned blue when it became positive. So
[03:37:34] how can we do automation in such a case? That means your data should automatically
[03:37:38] turn red. If it doesn't turn red by doing something like this, then we can see it. So
[03:37:44] what you have to do is click on any bar here. All the bars will be selected.
[03:37:48] Right click. Go to Format Data Series. After that,
[03:37:53] you will come to the fill option here. And you have to write here, invert if negative. Or invert it. If it
[03:37:58] is negative, then invert if negative. Okay. And whatever color you take here,
[03:38:04] you can take any red color. The rest of the colors will become red. And blue.
[03:38:12] We have to invert it. Here we will take blue. And here we will take red.
[03:38:17] So now see. You have done this data in this way, if I make it positive,
[03:38:22] then see it automatically gets converted to blue, if I write minus 800,
[03:38:27] then it automatically becomes red, now you do not need to do anything, so that is your
[03:38:32] negative charge, in which we automate the values in such a way that
[03:38:36] if it automatically falls negative, then it shows me in red in this way,
[03:38:40] not in such a way that I have to do this work manually, after that you can now see that this
[03:38:45] access is coming in the middle because the negative values have come down here,
[03:38:49] so you can select it and right click and go to format access,
[03:38:53] above format access you get different types of settings here, okay you
[03:38:59] can see the access type here, vertical access, so add category number at maximum, okay on
[03:39:05] take number here you can see categories in reverse, we do not need this,
[03:39:10] this is the label on the labels and from here you will click on the label position here on the dropdown and
[03:39:15] make it high, then it will go up and your chart will be normal It will look like this after that
[03:39:20] you can turn off the grade lines from here your normally chart will look like this so
[03:39:25] that is your negative chart inside which you did a small setting what did you do you
[03:39:29] right clicked on format data series went inside fill and invert if
[03:39:34] I had turned on the negative and given a colour here that if it is negative then give this colour
[03:39:38] otherwise give this colour and this has done all the wonders and now whenever you
[03:39:43] want to change the data make it 600 then it will become positive and
[03:39:51] make it 658 of minus then it will become negative it is happening automatically I have not given any colour myself
[03:39:56] so in this way you make your negative chart, learn all the parts etc. but if you
[03:40:00] do not practice then you will not remember anything so you must practice it,
[03:40:04] you must know if you have not practiced it, you have seen it and after that you are saying that maam it
[03:40:08] is not coming, how will it come when you have not practiced it, so you must practice
[03:40:13] let's learn one more chart here we had written we are
[03:40:18] your we are your I had written for a second let me check it next
[03:40:25] what do I have to do picture in chart that suppose I have to fill some picture then
[03:40:30] how do I do it so in insert we take our basic column chart whatever changes
[03:40:36] we are going to make all are done by column chart so column chart
[03:40:39] Keep a big main, you are fine, if suppose you sometimes see here that such icons
[03:40:45] are there, then if you want to do that, then how can you do it, you will right click and
[03:40:50] go to format data series, go to fill, inside fill where solid fill is coming,
[03:40:54] gradient fill is coming, there is a picture format, you will click on that,
[03:40:58] go to insert, here you have stock images icons, so we have to take an icon,
[03:41:04] what kind of icon will we take, let's take the person,
[03:41:11] okay, we took this person from here and clicked okay, so this person of yours has come everywhere,
[03:41:16] we will adjust it, make
[03:41:23] your chart a little broader and how can we make its size here, how
[03:41:30] can we increase its gap width, see now we
[03:41:37] can see this person in the correct way, how do we insert any picture
[03:41:41] inside our chart, now we will move towards the next chart, just a while ago I
[03:41:45] was talking about practice, so see, practice is very important, you will not agree, for now
[03:41:50] if I say timing then It's 119 If you are able to see, then I can also
[03:41:56] see here It's 120 It's so late at night
[03:42:03] All this is made for all of you with a lot of hard work So that you can learn, so that I can connect with you And
[03:42:08] if you don't practice, then all these things that you are seeing, you will forget
[03:42:13] them Because you haven't tried them yourself, so it's definitely worth trying them yourself, okay And at the same time
[03:42:20] show some support, yes, because if you support anything, then you know
[03:42:25] what happens, it makes you happy, that excitement increases further That we have
[03:42:31] to bring more good content for all of you And we have to do new things Even when you
[03:42:37] guys comment, even then I feel that yes a comment has come,
[03:42:42] someone has said to make this, so next I try my best to
[03:42:46] make that thing Now because you have said so, that's why I have just one small request
[03:42:52] that you practice, the request to like and share is my secondary, practice,
[03:42:57] okay, now next we're going to make one more chart, which is a tree map Tree map
[03:43:02] is such a chart that first of all it will not be available in everyone's version, so if it
[03:43:07] is not there in your version then there is no need to think that I am not able to find it
[03:43:11] in my version, there is no need to panic,
[03:43:15] this chart is only in the updated versions, second thing is that pivot table puts restriction on making this chart,
[03:43:20] pivot table does not allow us to make tree map through there pivot chart, so
[03:43:26] how will we make it there also, we are going to see inside this, first of all I
[03:43:30] have taken normal data, inside that we will make tree map, now when do we make tree map, whenever
[03:43:34] you have such data in which it is difficult to understand in what way the data
[03:43:39] is given, that is, in what way can I know who has done in more portion and where
[03:43:43] there is answer data with category and sub category, inside which there
[03:43:49] is data with category and sub category, then in such case you should definitely use your tree map because in such case
[03:43:54] if you use this, if you use column chart then it should be displayed in this way It is happening
[03:43:59] , which is not that impressive, right? So, that is where we will now
[03:44:07] create a tree map. Select it. Go to the insert tab. Already, you have
[03:44:11] the option of tree map here, but if you are not able to understand it here, click on it.
[03:44:14] Go to all charts and find here. Where is the tree map? Here it is, you
[03:44:18] can click on it and press ok. Here I will turn off the chart title.
[03:44:23] hmm and I will turn off the legends, yes I have turned off the legends as well because as soon as I saw
[03:44:28] it, I can see that there is a principle in it that the one who has a bigger portion,
[03:44:33] his colour will be seen in the front, this means that the first thing I came to know after seeing this
[03:44:37] is that there is more of electronics and in electronics also there
[03:44:40] are more of mobiles, after that there are laptops, then there is furniture, in furniture there are more of tables, then there
[03:44:44] are chairs, then there is more of stationery, there are more of stationery and notebooks are less, from here
[03:44:48] I can see that in stationery there are more pens than tables, even
[03:44:53] more than mobiles, this only went where it went when it came to notebooks, notebooks are the least here,
[03:44:57] laptops are selling the most, so as soon as I saw this, I came to know that if you
[03:45:01] wanted to add data labels in it, then you can also add data labels in it, if
[03:45:05] I want to add value by going to the more option, then we can also add value,
[03:45:09] that is the great option we have, okay, suppose I don't like this colour palette, I
[03:45:15] want some monochromatic colours, you can also go to colour and
[03:45:19] get monochromatic colours. So see, the one which is the darkest is the most and
[03:45:23] will keep on being in lighter shade which is very good this is quite good this is according to your theme if
[03:45:28] you want you can put it in this way you will also get to see its opposite here
[03:45:32] what a lovely chart it looks isn't it visually it looks very lovely chart
[03:45:37] so you can also make it and keep it so this is how your tree map works if suppose
[03:45:43] I make it 10,000 here then see it has changed in this way now
[03:45:47] I make it 1500 so see electronics now goes to the last
[03:45:51] furniture comes first here it is a working chart and this is how it
[03:45:56] behaves but it is such a good chart it is telling so many things so easily then
[03:46:01] why is pivot not letting us make it so let's ask this thing to pivot itself here is
[03:46:05] our pivot let's do one thing let's remove the state let's put category I told
[03:46:11] you everything is category and category so in this way our chart has come okay
[03:46:15] our data is coming So we have taken it, went to Pivot Table Analyze,
[03:46:19] went to Pivot Chart, then Pivot Chart will not allow us to create your tree map, so in such
[03:46:25] a situation, now we will have to learn how to convert our normal pivot data into normal data,
[03:46:31] so that it is a dynamic data, if there are changes in the pivot
[03:46:35] , then there will be changes in that data of mine and if there are changes in that data, then
[03:46:39] there will be changes in my chart as well, because I can create a chart, but I
[03:46:43] can create it with normal data, so if I generate a formula from my pivot in such a way
[03:46:47] that I get a normal data and I create my chart with that normal data,
[03:46:51] then in such a case, the changes that will be in the pivot will be visible to you in the normal as well and
[03:46:55] if they are in normal, then they will be visible in the chart as well, now let's start this whole procedure from here,
[03:47:02] now let's convert the data into the normal data which is pivot data, okay, so
[03:47:08] first of all, let's do one thing, just Because I want the same table on the side as well, so
[03:47:12] let's make some changes in the existing table. We selected it,
[03:47:16] now we went to the design tab and here in the repeat layout,
[03:47:20] we made it repeat all items, but before that we
[03:47:24] have to go to the pivot table options and okay the merge and sell with the labels and here it has come automatically, now I
[03:47:29] can pick it up and copy it, copied it and I pasted it here,
[03:47:35] so look, after pasting now you will say that ma'am when we copy paste then multiple
[03:47:39] pivots are created, look by clicking on this the pivot table is coming, but by clicking on this the pivot
[03:47:42] table is not coming, so you can say that the fill list of the pivot table will be off,
[03:47:47] so look the tab above is also not coming, there is a tab in it, okay, so here this
[03:47:52] is not your pivot, okay, you can copy and paste the sum of profit here, here we
[03:47:56] will bring the values, how will we bring them, now understand its phenomenon, understand the basic thing,
[03:48:03] where were we creating it, now it disappears, from me yes, okay. This is what is a basic phenomenon,
[03:48:07] suppose we can do any basic phenomenon, anything we
[03:48:11] want that is happening in a cell, if I want the same thing to happen in another cell, then
[03:48:15] we do it using equals to, for example, if I write something here and I
[03:48:18] want the same thing that is written in that cell to come here, so by using equals to, I will just
[03:48:22] give the reference of that cell and press enter, so now if I write anything in this cell, it
[03:48:26] will come here, if I write some number here, it will come here exactly.
[03:48:30] The same thing will keep coming here because I
[03:48:34] have given the reference of that cell by doing equal to in it, so if I want the same thing here, that whatever changes come in it should
[03:48:39] also come here, then I should not give it to this cell by doing equal to and press enter,
[03:48:42] then the answer will come, this is what I had to do, now if any change happens here, it
[03:48:47] will also happen here, now let's drag it, so all the answers came the same, this is a big
[03:48:53] mistake, it seemed wrong, so see what is the problem, what are we doing here,
[03:48:59] decor is your category car accessories product, so here when you
[03:49:04] see its formula, there is category, yes in category then there is decor, so is this decor, is it
[03:49:09] electronic, this is good, the product name is correct, the product
[03:49:12] name is your tagline, that means sorry heading is there, car accessories, these
[03:49:17] are ear bird laptop speakers, so the thing which is changing, if I write the text, then I
[03:49:21] will drag it, it will remain the same, if there is any problem in cell referencing anywhere,
[03:49:25] then Please go to the part one where I explained cell referencing in such detail
[03:49:29] that the grip of your flowers will become so strong that
[03:49:33] these flowers will become so strong that you will say that ma'am you don't tell me, I
[03:49:37] will tell you, I am telling you why it has happened, don't explain it in so much detail,
[03:49:41] so definitely watch part one, if there is anything like this in your flower that I cannot make the flower myself,
[03:49:47] if you watch the part one, then you will make the flowers yourself, I am not going to make it, then
[03:49:54] okay, here you will go to decor, obviously I will give you the sale here, if I drag it,
[03:49:58] it will keep changing, so from here, firstly I will give the sale of decor,
[03:50:02] the second thing is car accessory, car accessory, then it will remain car accessory, then home
[03:50:06] decor and nothing else will be made, so here I will give the sale of this product name
[03:50:11] and press enter, now I have given the sale at both the places, now drag it, then you
[03:50:15] have all the values as it is, okay, nothing has changed here, all
[03:50:20] The values as it is have come now this was normal data this was the pivot one, it
[03:50:24] did not allow it, it will allow it anyway, select it go to insert, take the tree map from here,
[03:50:29] take your tree map comfortably see it is ready, what flags
[03:50:35] did the tree map have to plant that it did not have to be made at all we have made
[03:50:39] it, see this, see our tree map which is my favorite map and after this if we
[03:50:47] want then we can change the color directly from here if we
[03:50:52] want to do something directly from here no brother wow I want this only or you can change the color from here,
[03:50:57] you can take monochromatic colors and from here the color became green, this type of color is
[03:51:03] done whichever color you want, you can take it the darker it is, the more it
[03:51:07] is if you want to add data labels then you can also add
[03:51:12] data labels, data labels are added from here go to more option and from here we can add more values
[03:51:17] okay click on the data labels go to home make it bold
[03:51:21] it will start looking a little better ok yes this is how your tree map is created in this way If you
[03:51:27] convert your data from this, then whenever it happens that it
[03:51:31] puts a pivotable restriction and does not allow you to create any chart, then you should work in this way, it will
[03:51:36] automatically allow you to create charts easily. Okay, now let's do two more charts,
[03:51:40] which is map and radar and then after finishing the entire session of this chart here, we
[03:51:44] will move towards our dashboard and there is a sunburst chart and let's see it. Sunburst
[03:51:49] is also exactly the same, you can just say that it shows that thing in a circular way, so you
[03:51:54] go to insert and from here you go to extensions and
[03:51:59] go to alt chart here and choose sunburst and click ok. Sunburst is also not
[03:52:03] created in your pivot, but now how can you create it, you know this thing, okay, here also it
[03:52:07] works exactly like a tree map, here you also had only two things, Asia and Europe, so you
[03:52:12] have divided it in blue and white, which countries came under Europe,
[03:52:16] Germany came, France came, so this is Germany, France and UK and under Asia,
[03:52:22] Japan, China and India came and Asia The entire portion of is more visible to me and
[03:52:27] inside this, the portion of Japan is more visible to me, in this way you can see,
[03:52:31] in this also you can turn on your data labels, sure if you
[03:52:35] want to show the values also then you can add the values as well, so this
[03:52:39] is just another version of the tree map, which is the circular version, that is your sunbust, after that
[03:52:45] the chart that comes to you, which is your map chart, for the map chart, I will tell you first
[03:52:49] Map chart is also not available in your PvT but how can you create that also
[03:52:53] now you know this thing, okay you just select it go to insert and
[03:52:58] select the map from here then this map appears, okay one
[03:53:03] is this type of map but if you don't want to do this also just because it is in word map
[03:53:09] you go from here and select it go to all charts from here you find the map
[03:53:14] and here obviously this is in word map so that's why if
[03:53:19] you want to show something state wise about India here then you could show it, okay you
[03:53:23] have to turn on data labels from here and it will be visible here in this way now, okay if I
[03:53:28] want to show it in some other way then by clicking on brush I
[03:53:32] can show some things in this way also, right and if I go here by clicking here then what type
[03:53:38] of things do I want to show, country wise or it is also best for map
[03:53:43] frontally you can show it in this way but it would be better for us then When
[03:53:48] we have a state wise, I copy it for once and
[03:53:52] create another pivot below. We have created another pivot. Why is this not our pivot?
[03:53:58] This was our pivot. So I have copied it completely. How did this happen?
[03:54:05] After copying, we have pasted it. The pivot is not getting created. Tell me, it
[03:54:11] 's amazing. No problem. We will select it. After that, we will hold the control.
[03:54:16] My cursor will change. And just drag it down
[03:54:21] . Now this
[03:54:27] will become my pivot. This is not getting created. No problem. There
[03:54:34] is a problem here. So I selected this and I selected the state.
[03:54:37] I have removed both of them. Okay. And I have selected the state.
[03:54:44] Okay. Right now, it will not come here because decor, fashion, etc., all this was there. So
[03:54:48] remove it. I selected the state. If I select it and
[03:54:52] after selecting it, I go to the pivot and from here, I do the pivot chart. And from here,
[03:54:58] if I go and take the map, it does not let me do it. So, in the same way as I
[03:55:02] did that. I copied it, came here and pasted it. So here
[03:55:07] it is in normal value. Now see, it has come in pivot. It is creating a big problem.
[03:55:12] So
[03:55:15] what will we do? Instead of selecting the whole of it, we will
[03:55:20] have to select only this one. I copied it and pasted it here. Now we
[03:55:26] need values in front of it. So equals to and we will take the value of the cell here. And in the last,
[03:55:31] instead of Andhra Pradesh, we will take that cell. So that when we drag,
[03:55:36] the amount that we drag keeps coming. So we took Andhra Pradesh and pressed enter. Now if I go and
[03:55:40] drag this whole till the bottom, then all the values will come to me. All the values came.
[03:55:45] I selected it. And after that, now I will go to insert, I
[03:55:50] selected the map. I pressed ok. So for now, I
[03:55:53] accept it. Look, it has come in this way. Now, I also have to turn on the data level. So,
[03:55:59] I can turn on the data level as well. And I only have
[03:56:04] to show the category name in the data level and I have to remove this. So, I am getting Uttar Pradesh, Madhya Pradesh. The
[03:56:08] more it is, the darker it is. So Uttar Pradesh is the dark one. Here,
[03:56:12] your sale price will increase and sales will increase. After that, it
[03:56:16] is there in Maharashtra and here in West Bengal too. So, in this way, you can see that you
[03:56:21] have got that data very easily. Now, if any changes come in it, they will come in this too and
[03:56:25] the changes that come in it will be seen in your chart too. So, that is your map chart.
[03:56:30] What was your map chart? This was your map chart. In the same way, if you want to show it in radar,
[03:56:34] you can also show the radar. Select it, go to insert and
[03:56:38] from here, you can also take a radar chart. Radar
[03:56:42] , radar and click OK. The radar also shows you in the same way, in which the pointer
[03:56:48] seems more to you, it is jutting outwards. Which is Maharashtra, it
[03:56:51] is jutting outwards. Which is Uttar Pradesh, it is jutting outwards. Which is West Bengal?
[03:56:55] Here also, I had told you the same dark areas. So, on the side where your pointer
[03:56:59] is jutting outwards, that side has more points and the rest of the points are less. If
[03:57:03] I show Andhra Pradesh and Assam etc. here, If I talk about it, there is no pointer here,
[03:57:06] so there are so few, it is okay, so this is how your radar chart is, if you want
[03:57:12] to show it in any form, show it in radar form, the best thing is if it
[03:57:15] is a matter of city then I will show it in radar, if it is a matter of city, I will show it in any other form,
[03:57:18] when it comes to the state, then I will use the map because the state is there
[03:57:22] It will look more beautiful but if I talk about city, there
[03:57:26] can be many cities in a state, so there will be a lot of chaos there,
[03:57:29] so I will not show it there, I
[03:57:33] will use radar there. So here we have done three more types of charts, which is
[03:57:37] sunburst map and radar and here we have completely summed up our chart, have
[03:57:41] learned everything about the chart, we have done the chart in great detail,
[03:57:45] have done it well after taking a lot of time, now we will move towards our dashboard,
[03:57:50] so now let's learn to make a dashboard, that too from scratch, they say
[03:57:55] that we have read a lot, so now it is the turn of the exam, see, whatever
[03:58:00] things we have read, we read so that we can make reports from it, we can make dashboards from it,
[03:58:04] so that is the use, now we are going to make a dashboard, but
[03:58:09] before I give an overview of this data, before I tell you about dashboard, you should understand
[03:58:14] what is a dashboard, if I talk about dashboard, then dashboard is a visual
[03:58:19] What is representation? Visual representation.
[03:58:24] Okay, visual representation. What visual representation will
[03:58:30] you make of the data? Okay, so if I start from the very beginning, first of all there
[03:58:35] is a person. Okay, when a transaction or anything happens,
[03:58:39] he records it. After recording, there
[03:58:44] can be many mistakes in it, some changes may have to be made. Some records may
[03:58:48] be missing in between. So first of all he cleans the data. Okay, after cleaning the data,
[03:58:54] when the data is clean, now your recorded data has become perfect.
[03:58:58] Now he makes a summary from it. What can we call the summary, we
[03:59:04] can call it reports. Now we make these reports. We make reports or
[03:59:09] you can call it KPI, performance indicators, and after that we
[03:59:14] make it in pivots or we can make any report ourselves.
[03:59:18] After making it, you represent this thing visually. That means
[03:59:25] what you do is you present it in the form of a chart or a graph. Let's represent it,
[03:59:30] just leave the spelling and represent it visually. And the thing
[03:59:36] that is being represented visually is called a dashboard. Now this
[03:59:42] is a dashboard, which means it is a complete scenario. Now it is not that only one thing
[03:59:47] will be available in one data. If I take the sales data, then in the sales data that
[03:59:52] we have been using till now, you know there was state,
[03:59:56] category, product name, region could also be there and in that we had profit
[04:00:03] and sales. So you also need to know how much sales were made in which state.
[04:00:07] You also need to know which category sold how much. You also
[04:00:11] need to know which product performed well. You also need to know how much
[04:00:14] profit was made and you also need to know how much sales were made in each. So
[04:00:18] can you show everything in one graph? Can't you show everything in one graph? We made one for state,
[04:00:22] then made one for category, then made one for product name. Then I
[04:00:28] made one to show the profit, then I made one to show the sales
[04:00:32] and then all of them were visible at once, oh the profit is this much, the sales are this much, the product name
[04:00:36] is this much, the category is this much, so when all of them are visible on the entire screen
[04:00:41] in the form of different charts, that is your dashboard, that is your dashboard where you
[04:00:47] can see all the things, like if you buy anything online, do anything,
[04:00:52] then you go to your orders or there is a dashboard for that too where you can see
[04:00:57] that you had ordered for this much, you have cancelled it so many times, these
[04:01:03] are your order purchases, this is so and so, this is so and so, a lot of things are written in it, so
[04:01:08] what is that, that is its dashboard, that is the dashboard of that app where
[04:01:12] all the things about it are written, all the insights are there, well you take
[04:01:18] a step tracker, you take a step tracker, there is an app called step tracker,
[04:01:24] in which it tracks how much you walk throughout the day, so what does it do, it
[04:01:28] also shows for one day How much did you walk, how much did you walk in each hour, okay,
[04:01:33] the date is written here, then there is an option to apply a filter here, then
[04:01:37] after applying the filter you get to know how much you walked in one week, every week it is told weekly,
[04:01:42] do it like this, okay, I walked more on the third day, on the fourth day I walked less on that day, then
[04:01:47] There is also a month chart and then there is a year chart . You can
[04:01:52] also see it in hourly manner. Not just tracking. If you have cycled and
[04:01:56] have turned on the cycling button, then you can see how many kms you have cycled. So
[04:02:00] what are all these things? This is a dashboard. It tells you through a graph that this
[04:02:04] thing has happened. If someone is writing a number, then it is represented through a graph.
[04:02:08] That is the dashboard of that particular app. So in the same way, we
[04:02:13] create a dashboard of all the data in Excel. We create a visual representation of it.
[04:02:17] Now we will have an overview of the data. And after that, we
[04:02:22] will start creating the dashboard in great detail and from scratch. It crashes. So that is why I first
[04:02:27] saved it on a drive on a safer side.
[04:02:31] What happens by saving it on the drive is that this auto save option comes up and you can keep it on. So,
[04:02:36] it will automatically keep working there even if in any case our Excel closes. Okay
[04:02:41] , let's do one thing now. Here I will give you an overview of the data that
[04:02:45] what is inside my data and when you get data, it comes in this way, through
[04:02:50] freelancing or any raw data comes to you because we
[04:02:54] are creating it from scratch, so we are taking it exactly like
[04:02:59] when we get any raw data, you have to think about everything from the very beginning, they
[04:03:04] tell you something, they don't say anything, they just give you the data and tell you
[04:03:08] to make a dashboard so that my business benefits a lot, there are many such customers,
[04:03:12] there are many such clients who will tell you things like this, so if
[04:03:16] you solve their problem, then you will be able to handle them very well, those who
[04:03:21] would just say that do this work for me, they are sorted, they know
[04:03:25] what they want and you can directly make it and give it to them, the real problem comes when
[04:03:30] things are not known and just data is given to you and you make it, so let's
[04:03:34] take such a situation, first of all if I look inside the data There is the order ID, then the date,
[04:03:38] then the customer name, then you have the customer ID, the region, the city, the sales channel,
[04:03:45] there are so many things that it would be a little difficult to remember. In the product category, if there
[04:03:51] is a sub-category, that is, there is curtains under home decor and there are many different models of curtains,
[04:03:56] then there is their product name. After that, an ID is also created for each of them.
[04:04:01] After that, you have the quantity sold, that is, the model and the
[04:04:07] ID, how much of that particular thing was sold, which is six unit price, that
[04:04:13] is, the price of one is 680.05, so this makes the total sale this much.
[04:04:18] But then after that we also gave a discount to that person, which amounts to
[04:04:22] this much, so 480.3 -
[04:04:26] 81606, which is ₹3264.24.
[04:04:32] Okay, how did he pay, he paid by COD, which is cash on delivery and
[04:04:38] for now, whatever is the delivery status, if I see it, it has been delivered,
[04:04:43] profit. I have to worry about the margin in this just because we
[04:04:48] don't have any purchases but they have given the profit margin which is 15% and the profit amount
[04:04:53] is 489. Okay, so this was the detailed information that we had. So here we
[04:05:00] did an overview of the data that what all data I have and how it is given but when
[04:05:04] this data comes, then firstly I am not able to remember the headings. I
[04:05:08] am thinking just like you people. If you are creating a dashboard for the first time then firstly I am
[04:05:12] not able to remember the headings, which means I have forgotten how many headings there were and
[04:05:16] secondly how will I understand what should I create from which. So it is said that whenever there is a problem
[04:05:21] whether it is in Excel or it is in your life, whenever there are problems the mind
[04:05:26] gets very cluttered, it keeps running here and there whether I should do this or that, so
[04:05:31] in such a case what do you have to do, you have to write it down. So let us now understand that thinking
[04:05:35] that what should we do first and how to write it down for ourselves in a notebook.
[04:05:40] We want so that we can solve our problems. So let's solve this problem
[04:05:44] now. If you want, you can do it for yourself, that is, in a notebook.
[04:05:50] I am showing you by doing it here, so that you can see it easily. So, I
[04:05:56] have taken a blank workbook here. Just because I have only these two workbooks
[04:06:01] open right now and there is another workbook as well. What I do is view it side by
[04:06:06] side. I want to see it with the dashboard creation. So,
[04:06:10] I have taken it to the side. And it is not visible, so I have to arrange it.
[04:06:14] It will have to be arranged vertically, I have done ok and I don't want this one so I
[04:06:20] will do it like this and here, okay I want this one here and this one here
[04:06:25] because
[04:06:35] I am writing here and I have to arrange it here.
[04:06:42] Okay, let's do one thing, let's go to the view tab again and
[04:06:46] turn off synchronize folding because I don't want to synchronize and we
[04:06:51] can also arrange it horizontally but not horizontally, the arrangement we want to do is to arrange it vertically.
[04:06:57] Okay
[04:07:01] , now this is fine, so now see what I have to do, first of all
[04:07:05] you should do one thing, first of all, note down all the things that you have written, headings, columns,
[04:07:11] at one place, so that you remember what is going on,
[04:07:16] what is there in your data, so that later whatever things are written,
[04:07:19] we will pick the best from that, so what am I going to do first of all and
[04:07:23] you may feel that this seems very boring or a very slow process,
[04:07:28] but just Trust the process, okay, first of all the order date ID is given, then the date
[04:07:33] is given, then we have the customer name, so we will take the customer name and
[04:07:38] if you go in this way, then it will be very easy, it will take length for the first time, then when you get used to it, it
[04:07:45] will not take length, then you will feel that I have to do it like this because it makes the work easy,
[04:07:50] you do not get confused, you
[04:07:54] have the customer ID and after that you have the region, after that you have the city, after that you have
[04:08:02] the sales channel, so I write the channel, whether it is online or offline,
[04:08:07] we saw when we read the data, even then we did not pay attention to it, but now when we read it carefully,
[04:08:12] then we are remembering that this thing is also available, along with that,
[04:08:17] what other things are available here, in the product category product, you saw
[04:08:21] that you had a product category here, just now when we talked about the product
[04:08:25] category, there was a sub-category that brother, which
[04:08:31] product is being sold, and that category also had a product name, that is, that
[04:08:36] name, was it like a code There was a name in front of every product and after that there
[04:08:41] was an ID of that product. Brother, a unique ID
[04:08:45] was created for every product. We had seen it. After that, there was quantity. Look, product name,
[04:08:48] product quantity ID. After that, as I told you, quantity sold, unit
[04:08:52] price came. Discount was reduced after taking out the total sale. So, we
[04:08:56] have written all the things. See, we remembered it well because we
[04:09:00] had seen the data at that time. But if we write it, we will remember it very well. Here, we
[04:09:05] also have quantity sold given. Then, after that, we have unit price.
[04:09:09] That means, the price of a particular product is particular. After that, we have
[04:09:15] total sale. That is, our total sale was this much. From which we reduce the discount,
[04:09:21] we have the discount. We have the percentage and the amount.
[04:09:26] I can write the discount. Well, here, what else do we have?
[04:09:32] If I see, after the discount, we should have the net sale.
[04:09:37] After that, we have the net sale. Ok, fine, we have seen our What all things
[04:09:42] do we have? We have net sales, after that we get the payment mode,
[04:09:48] look at the payment mode. At that time, we did not pay attention to the payment mode as well, whether it
[04:09:52] was delivered by card or UPI or wallet or
[04:09:56] COD. I think we had definitely mentioned COD once and after that the delivery status,
[04:10:02] what is the status of the product that has been delivered, is it in transit
[04:10:06] or anything else? After that, you get the profit margin which is in
[04:10:12] amount and percentage, so profit percentage and then we write in the profit amount,
[04:10:18] okay and I guess there is nothing. Still, we check it once. There
[04:10:23] should not be anything left. Okay, there is nothing else. So we
[04:10:27] have done all the things here. Now we do not need to do anything. Now we come here
[04:10:32] because now we do not need it. Now we need to talk here that
[04:10:36] what do we have to do with our data. So we will go highlighting it in the same way
[04:10:41] and improve our understanding. I will put red here. I will keep doing the same
[04:10:45] thing that I do not need so that there is no problem. Look,
[04:10:50] what will I do with the order ID? What will a business person do with the order ID? If it is your business and
[04:10:55] this information is inside it, then in such a case you should know what will you do with the order ID?
[04:11:01] You won't do anything with the order ID, so what do you have to do? So we have taken the order ID.
[04:11:05] Okay, I don't have to do anything with the order ID. With the date, yes, we learnt in Pitt
[04:11:11] that we can extract the month, we can extract the year, we can extract the quarter. So
[04:11:15] we will take the date and leave it for now.
[04:11:19] What do we have to do with which customer bought how much? What will we do with the customer's name? If there was a dispute, something would happen,
[04:11:24] then we would know what will we do with the customer's name. And the customer's ID
[04:11:28] will not affect my business. We are talking about something that
[04:11:32] will affect the business of a particular person.
[04:11:35] Region. Yes, it is important to know how much was sold in which region. It is also important to know in the city.
[04:11:41] Channel. How much is sold online? How much is sold offline? Okay. Product
[04:11:45] category. How many categories are sold. Sub-categories mean which products are sold.
[04:11:49] Main product. Product name. If you want to take it, you can take it, otherwise you can leave it.
[04:11:54] What will you do with the product name? If I find out Curtain is being sold, so which
[04:11:58] curtain is being sold, there are a lot of it, it is in thousands, so we
[04:12:04] cannot do this thing here because we are making an overall dashboard, so it
[04:12:07] will create a lot of mistakes, for this we should make a separate dashboard of only one product, then
[04:12:12] even then I will consider it, there is no need for product ID, product ID
[04:12:17] was a unique ID which was for every item, there is no need for it, yes, we
[04:12:21] can keep quantity sold for unit price for once, let's keep it for now, we will see later,
[04:12:25] we have to keep unit price, total sale, we have to keep discount percentage, we have to keep discount
[04:12:29] amount and net sale, delivery status, everything has to be kept, okay, the first thing
[04:12:34] is that whatever we do not want to keep, first remove it,
[04:12:37] first remove that, now let's talk only about the values, now which are these values
[04:12:43] , talking about the values, is it of region value or not, that is text,
[04:12:48] so we have to see how much is there in the region, city is also the same, online and offline
[04:12:52] are also the same, product is also the same, category is also the same It is similar to that which only
[04:12:56] tells the value, then we can take quantity sold, total quantity, but what is the problem in total
[04:13:01] quantity, the thing which has to be taken in total, I am talking about it right now, so that I
[04:13:04] will mark it beforehand, I will make small cards, its total sale was this much, total purchase
[04:13:08] was this much, this is not in our data, so now tell me one thing, what will I do with total quantity
[04:13:13] sold, if there was only one product, if we
[04:13:19] were doing this, if we were selling iron or we were selling sand or any other type of product in which it is used
[04:13:24] or some similar quantity is used which is going to be same for everyone,
[04:13:29] breaking everyone in the same parameter, then I will take quantity sold, but when everyone
[04:13:35] is selling cartons somewhere, some sarees are being sold somewhere, some electronic items
[04:13:39] are being sold somewhere, then you cannot measure its quantity, means it
[04:13:44] is not on the same parameter, so in such a case we will not take quantity sold in total, we
[04:13:49] can take total sale, but what is in total sale Isn't it? Total sale is the sale before discount.
[04:13:53] Then discount is applied. You can take the total discount amount.
[04:13:58] And basically my preference over both of these
[04:14:02] will be on net sale. Net sale is very variant. I have to show the net sale, that my net sale
[04:14:07] is this much and my net profit is this much. And along with this, the percentage that I will show is
[04:14:14] how do we show the percentage. Suppose in a person's case, there is person A, this is person B,
[04:14:19] this is person C. Okay, these two have got 80% marks, these two have got 70% marks
[04:14:27] and these two have got 90% marks. So what should I say, if we look at these three and see
[04:14:33] what is the percentage of the result, what will you say, 80 + 70, 150 + 90, which is your 240
[04:14:39] , 240% result has come, you will say this or you will say 80 + 70 + 90, which is 240
[04:14:48] / 3, so 80% result has come, what will you say? Has 80% result come or
[04:14:54] 240% result has come, 80% result has come, what did you do, find out the average, so whenever
[04:15:00] you have to find the percentage in total, then what you will have to do here is you
[04:15:05] will have to find out their percentage, okay, here also
[04:15:10] in profit percentage you can see, you have to find out the percentage, in discount percentage also you
[04:15:13] have to find out the percentage, the rest of the things are there, weather it's like I take this and see,
[04:15:21] it is not a good color at all, the color
[04:15:26] makes a lot of difference, look, the rest of the things, whether it is date, region, city
[04:15:33] , channel, online and offline, whether it is your category, there are categories, for all the categories
[04:15:42] I will call it product, it is your payment mode, it is your delivery status,
[04:15:48] whatever I want to show these, I will also make charts properly for them and
[04:15:53] if I have to show something on their basis, then I
[04:15:57] will definitely use my slicers and timeline to show it on their basis and now as for quantity
[04:16:03] sold and unit price, if these align anywhere in our data,
[04:16:09] at the time when we are creating the dashboard, we feel that yes we
[04:16:13] can show the quantity here, it will look better here, we
[04:16:17] can show the quantity inside this particular chart, then we will use it there, it may be used
[04:16:21] or it may not be used because each is the price of some thing, so if it has to be used then
[04:16:26] we will do it, it's like an 11th player of the team, if it is used then it's fine, if
[04:16:32] not then it's okay, so I will make it pinky pinky, that if it
[04:16:38] is used for you then it's fine otherwise it's okay, there is no problem, so in this way, first of all
[04:16:43] now you How easy it has become for you all of a sudden where you had a cluttered mind
[04:16:49] that after giving the data you grabbed your head thinking what to do now you know this thing that I have
[04:16:54] to make cards for these people what are cards are similar they only show value now
[04:16:59] we will make them then you will understand the thing which is in blue I have to make charts for them the
[04:17:05] thing which is in green I have to make cards for them the thing which I have done in yellow
[04:17:09] is in percentage so in percentage I don't have to put sum I have to put average so
[04:17:13] to a great extent you have made your work easy now what will we do now we
[04:17:18] have made this work easy so now we will start working we
[04:17:23] are going to do all the work inside pivot but it is not necessary that pivot itself allows us everything so we
[04:17:27] will keep working in that way many times it will happen that I am doing it from scratch so
[04:17:31] it is not that I have thought beforehand that I have to make this no I
[04:17:36] am working in that way that if you are also making this then what
[04:17:39] to keep in mind at that time and in what way I also many times it happens that I am doing everything in the same way
[04:17:45] I try making a chart of the same data three times and then I go with the one that I like,
[04:17:49] so we will do it like this, if I don't like it anywhere, it's not like that, I directly
[04:17:53] made a chart and that's what happened, so if at some place it seems that this one doesn't look good,
[04:17:57] I made something else, then I will make something else, this video is just
[04:18:02] for teaching you, it's for making you practice, this video doesn't happen that
[04:18:07] after learning it, you become perfect or you will do only this work that ma'am told you, it
[04:18:13] will do only this work, no it totally depends on your creativity, so that creativity
[04:18:18] will have to be told to you as to how it is generated, let's start creating now,
[04:18:23] whenever we do some work in life, if we
[04:18:27] have planned something, then we keep checking it again and again and then we
[04:18:31] keep moving forward according to it, right, if you make a syllabus, then you keep looking at it, keep making it,
[04:18:34] right, so in this way this is the planning for us, we will keep coming to it again and again,
[04:18:39] as soon as one of our works is done there and after that we will move forward We will keep moving forward
[04:18:43] . If I pick the easiest thing, then these are the green ones, which I had called cards,
[04:18:47] how can we make these cards, make them and keep them ready, later
[04:18:51] while making the dashboard, if something doesn't look good then we won't keep it, there
[04:18:55] is no problem, we will make it and keep it ready, so let's do one thing, take this sheet there, will it
[04:19:01] be better, let's take this sheet there, it will become a little difficult to come here again and again,
[04:19:06] so we will go to home, go to format, after going to format
[04:19:11] , we should take the mouse highlighter for once and we
[04:19:17] have taken the mouse highlighter and after going to format here, we will
[04:19:22] go to move and copy sheet and after moving and copying the sheet
[04:19:26] , we will create a copy, there is no need to create a copy and we will go to the main dashboard creation here and press ok, so see,
[04:19:30] we have come here, I have to maximize it and here,
[04:19:36] I will rename it with the name of planning, that our
[04:19:42] planning has been done and give it a nice color, which is Yellow which is a bright
[04:19:46] planning bright future kind of and that is your main data your main data has come
[04:19:52] and the main data should be the green okay okay I'm so sorry we
[04:20:00] had to take the tab color green and here the theory is already going on so I will call it theory okay
[04:20:08] so here we have done all the planning planning is very important to organize
[04:20:12] If we don't do it, then there will be a problem later. So planning is necessary. And here
[04:20:17] what are we creating? We are creating our KPIs. Oh sorry, I should not have done this.
[04:20:22] And skip. Okay, no problem.
[04:20:28] We will go to main data, do control A, select the entire data. We will go to insert. We will
[04:20:32] take a pivot table from here. We will take a pivot table range. And we will click OK. So that a new worksheet appears. I
[04:20:37] had to create this KPI of yours.
[04:20:44] Okay, keep performance indicators. That means here we
[04:20:48] will create indicators of the performance that they have displayed. And here we have given it a color. And
[04:20:53] we bring it here. We delete sheet four. Brother, it had become an extra
[04:20:57] at that time. Now, let's start creating KPIs. The first pivot that will come,
[04:21:02] according to our planning, we have to create these green ones first. So let's start with them.
[04:21:06] First of all, we need to see the total sales. If we take it, then we
[04:21:11] take it from the net. So we don't need the total.
[04:21:14] Okay, but as I said, we will keep everything ready. We will see later
[04:21:19] how what is happening. So we People do one thing, they go to KPI, click here,
[04:21:22] what we wanted was total sales, we wanted total sales,
[04:21:27] and this is done, you can see it is done, that's it, okay, we selected it,
[04:21:33] held down the control, my cursor has changed and I moved it to the side, okay
[04:21:37] now I don't want total sales, I wanted the discount amount after total sales,
[04:21:41] so the total discount we have given is this much,
[04:21:46] okay, the total discount we have given is this much, I don't feel the need for this either,
[04:21:50] but I will do it for now, I held down the control and
[04:21:56] keep it here, it will be okay here, instead of discount we keep the profit here,
[04:22:02] because on that side we have done this much total profit, and what are we doing,
[04:22:07] we are just doing one pet multiple pivot, see now I
[04:22:11] will not spend so much time in pivoting, we have spent 4 hours to do pivoting, I mean, we
[04:22:16] have spent 2-3 hours and 2 hours in charting, so Now you remove this,
[04:22:22] okay we have to insert something first, so we will do net sales here and
[04:22:27] remove total sales, okay so here you have it, all these four are yours, let me just show
[04:22:32] it to you and first of all tell me what is the most important work,
[04:22:42] if anyone knows if you have created a pivot, then what is the first thing
[04:22:47] that we do, go to Pivottable Analyze and write here what is that, so
[04:22:52] here we will write total sales, okay here we
[04:22:58] will write discount, total discount, what will happen with this, look later, so many
[04:23:04] KPIs are going to be created, so you will not get confused and if you do not write this, then you will keep sitting and
[04:23:10] getting confused that hey what have I done, okay, this
[04:23:17] is net sales, net sales and this is total profit,
[04:23:25] do not give space, I also did it by mistake, do not give space, if you give space then it
[04:23:30] will not take the name, do you remember, we had read it, okay so right now we
[04:23:36] are not doing visual representation right now We are first creating KPIs.
[04:23:41] Once all the KPIs are created, we will do the visual representation. That is why I
[04:23:45] have left a space here as well. I have left a space here as well.
[04:23:49] So the motive behind leaving a space was this. All the pivot tables that we will create
[04:23:54] will be created side by side because later when the visuals come, we
[04:23:58] can create them at the bottom. So according to the planning, we have done four tasks which
[04:24:04] we had marked green. So we have done these tasks. So which
[04:24:08] is very important, it is done. It was easy. We enjoyed a lot. You did it well. Let's start now.
[04:24:14] We will see the date later. Because according to the date, I will have to create a timeline as well.
[04:24:18] According to the date, I will have to do some more work. We will see the date later. First,
[04:24:21] let's see the region. Under the region, we can also do the city. And we
[04:24:27] can keep the region separate and the city separate. So we will see how we want to make
[04:24:31] it. Let's do one thing. Select it and hold the control key. yes and
[04:24:35] just drag it over here we have done it here another pivot has been created okay we
[04:24:40] clicked on it went to analyze pivot table and turned on the field list you know sometimes it
[04:24:43] gets turned off you should turn it on now what you have to do is first whatever work we do here
[04:24:48] we will do it by taking net sale because it is not necessary that we do it every time
[04:24:53] If we are showing the discount factor in the place, then net sales
[04:24:57] are more important for us in comparison to the total sales. Okay, so we have taken this, after that we
[04:25:02] have to take the region, so I have taken the region here, so my net sales
[04:25:07] are coming according to the region. Now I have two options, either I put the city inside this region,
[04:25:13] then what will happen with this, my data will become very big, that is, very much
[04:25:18] and then our chart will become very congested, one way is this or
[04:25:23] the other way I can do is that I can show the net sales and then I
[04:25:28] can show the profit percentage in it, instead of showing the percentage, I
[04:25:35] will show the amount of profit, I will show the percentage later, so one way I can do this, now
[04:25:40] you will decide how you want to show it inside your data, you have to show that
[04:25:44] my region and product should be visible, I am not concerned with the profit, I just want
[04:25:48] to know the sales or you mean that I
[04:25:52] want to know the profit along with the sales, so It's totally up to you, we can know it like this,
[04:25:58] so I do one thing, I take sales and profit and I
[04:26:01] will make a separate chart for city and a separate chart for region, let's make small charts, so that
[04:26:05] will look like many charts, they will look different, they will look beautiful to us and it is not necessary that
[04:26:11] you cannot make a slicer for the same thing for which you have made a chart, we
[04:26:15] can make a slicer for that also, so it is not necessary at all because the slicer is doing its work,
[04:26:20] we will not go to apply filter again and again, so we
[04:26:25] did this work here, we selected it, after that just because this is the region, region
[04:26:30] central east north, if it was a state and if I was defining any particular
[04:26:35] state of India, then I would definitely go towards the map, but for now,
[04:26:40] just because it is normal, I can say that it
[04:26:47] is a region, so we do one thing, we go to the payment chart, but I still
[04:26:52] have inclination, because the column chart is going to be made for many things. So I
[04:26:57] was a little less focused on it that if I make it in this way with region
[04:27:04] but okay, let's make it now, there is no problem, we can also make region,
[04:27:09] we can also make pie from here because there is not much because later
[04:27:13] more data is going to come, so there we will go towards column, now we
[04:27:16] can go to this, now it's totally up to us that we have to make 3D pie, we have to make normal pie,
[04:27:21] we have to make donut, okay so we go to normal pie, we do ok
[04:27:30] and and sum of profit net sense and if I turn on data level, then which
[04:27:38] levels do I get, we are getting its data but what about
[04:27:43] the profits,
[04:27:50] there is no talk of profit, right, then we will not take this, it
[04:27:55] is not representing that well because we had to represent two data, so we
[04:27:59] try, donut, donut is also going to give us something like this, okay, we
[04:28:04] do not need it like this, we get sunbust so It is good for the sunburst, if
[04:28:09] I try it in pivot, then sorry if I try it in pivot, when
[04:28:13] we go to pivot chart, it does not allow to create the sunburst, so what will we do in such a case,
[04:28:17] we do not have to do anything, take this, copy this, it does not work on multiple selection,
[04:28:24] copy this, paste it here and take this, copy this, paste it here,
[04:28:29] yesterday also I taught you the formula, that is, a while ago, to apply full, right, right,
[04:28:35] apply that full here, from full we have to bring our data here, so
[04:28:40] equals to means this amount is required in front of central, but see, inside this, one
[04:28:46] is written net of sales, net sales, sum of net sales, so later you
[04:28:51] have to find out the sum of profit also, so if you do sum of net sales, then it will remain fixed,
[04:28:55] so we have to take this and from here 12 is always going to remain fixed,
[04:29:01] okay which is your row, your column is going to change, so how will
[04:29:06] we fix it, we will fix 12, we will not fix F, we will do a comma, after that your
[04:29:10] Okay, what we need to do here in place of central is this one, you
[04:29:17] have to choose it from here and press enter and we have made a mistake somewhere,
[04:29:25] sum of net sales, okay, let's do it again, okay, let's do it again, there
[04:29:32] is no problem, it happens sometimes and we took this, Get Pivot Data, okay, sum of net sales,
[04:29:42] see, according to us this should have happened, but if it is not approved,
[04:29:48] let's try it one more time, if it does not approve, then there is no problem, then we will do it that way.
[04:29:52] As if it is saying okay let's do it for once and we have taken this
[04:29:58] let's fix this as well we have fixed it we are not pressing enter
[04:30:03] it is no big deal now we will do it in the same way
[04:30:07] we have been doing it in place of central we will give our central from here and
[04:30:12] press enter so the amount has come and just drag
[04:30:16] it get pivot works in a different way so no problem we will take individual
[04:30:20] answer our answer should come in place of center you have to take cell from here press enter
[04:30:27] here it has come okay here you
[04:30:32] can do alt equal to hey baba here you can do alt equal to you you can
[04:30:38] enter so your sum has also come here so it is same if suppose I
[04:30:43] want to see the data of any such central here so see if this data changes then your
[04:30:47] data also changes from here so there is no problem ok now ah select your
[04:30:52] data and just go to insert because now this is normal data you will be able to create all the charts
[04:30:56] in normal data so You go to extensions, after that go to all charts,
[04:31:01] take Sunbust from here and click OK and you can see Sunbust is
[04:31:11] giving you a second Sunbust is giving you a good result. So already we had not thought that
[04:31:19] we will do a visual representation but just because we
[04:31:24] will have to think through KPI only, so we have done it here but I will delete it now
[04:31:28] because we are going to do the visual representation later, so we
[04:31:31] have prepared our data. This is for your region wise, so I
[04:31:37] will go to table analyze, go here and write region
[04:31:42] cell here, after that I will take another data and hold the control here
[04:31:47] and just do it on the side because now I want city wise, so
[04:31:51] instead of region only city will come, so move region here, move city here, this data
[04:31:55] is here, there is no problem and suppose I want to create something else for this also, then
[04:32:00] I will copy it from now and put it here. I make things easy for myself by pasting so that
[04:32:04] I don't face any problem later. What we have to do is we just need the heading and
[04:32:08] after that we can apply the formula ourselves which is equals to and you
[04:32:12] can use your formula here, to use it, you choose it and from here
[04:32:16] Ahmedabad which is written, erase it from here, after erasing here you only
[04:32:21] have to give the sale, you enter the sale, then your value has come here,
[04:32:26] you just have to drag it, okay and from here itself if you
[04:32:30] want the profit one also then you can do equals to and after that you can go here,
[04:32:36] after going here I selected it, erase Ahmedabad from here, see
[04:32:40] why we are erasing so that we can drag and in any case if you don't understand this thing,
[04:32:44] then you need to know about you need to learn about the sale referencing thing
[04:32:49] because from there your capacity to apply all the formulas will increase,
[04:32:54] after that you will have to memorize the formulas.
[04:32:59] No, you will not be able to understand it, so for that you must see part one,
[04:33:04] from there, ok, so we have done the work for city, I click on it , go to Pivottable Analyze, here I write city, I
[04:33:09] wrote city here, city sale, ok, after that we will go to our planning, I told you
[04:33:14] that I will have to go to planning again and again, I have done region, I have done city, now we
[04:33:19] will do channel and online and offline, we will do all of them one by one and after that
[04:33:23] we will think at the time of visualization, if there are any changes to be made, then
[04:33:26] we will make changes in it at the time of visualization, but first prepare the data, so
[04:33:30] in such a case I have to prepare the data here, I will go here and after that I
[04:33:34] will need one more pivot, so definitely I will need one more pivot, so
[04:33:40] let's take a small pivot and ok
[04:33:45] , I will have to know the values in that also in online and offline, I will have to know only sales in online and offline,
[04:33:49] I have nothing to do with profit in it, it is not necessary that
[04:33:53] everyone We will take the profit but take it wherever you feel it is necessary,
[04:33:58] here what was my online and offline channel, so I took sales channel and here,
[04:34:03] ah yes, here we can definitely take discount, how much percentage discount do we give
[04:34:08] , how much do we give online and how much do we give offline, which is a very good insight, so
[04:34:11] we can take that and along with that we can take net sales here, so I
[04:34:15] can take sum of discount amount or percentage of discount, so we will take this
[04:34:19] We can also remove the discount percentage and at the same time we
[04:34:23] have to take net sales, so we took the net sales, percentage of discount was brought down here and here
[04:34:28] I just told you that the percentage things are not there in all,
[04:34:32] they are in average, so we took the average, so here we have another
[04:34:36] inside that if we talk about both online and offline, then we
[04:34:40] gave 99% discount in both, means if we are giving the same discount, then
[04:34:44] how much sales are we getting there, if I try this also, then it
[04:34:50] is almost the same, our offline sale is more, we are doing almost 50-50%, we
[04:34:57] are getting better results from both the places, okay, so here what we completed
[04:35:01] was that how much are we selling according to our particular channel,
[04:35:05] after that we get the product category and sub category, just because we
[04:35:10] have how many product categories, first we will see that, if it is more, then we We will make it separately
[04:35:15] if it is less i.e. if there are one or two categories or three categories then we
[04:35:19] can make the product within that also. Okay, so we will just put it on the side.
[04:35:23] It is very much on the side. Let
[04:35:28] me see how much I have put it on the side.
[04:35:37] Yes, it is okay now. I have done Alt and CA so that it looks better. Okay,
[04:35:43] what do I want to do? I don't want sales channel. I want product category. I have category
[04:35:48] 1, 2, 3, 4. And if I see the product, how
[04:35:53] many products and categories do I have? If there are a lot of products, then a lot will be missed because I
[04:35:57] want to show the entire dashboard. So at least it should look like this in which things are visible. So in such a case, I
[04:36:02] remove it. And from here, I take the product category. So, I
[04:36:07] can see in the product category. And I remove the percentage of discount. And I
[04:36:11] take the profit here. How much
[04:36:15] profit do I get in a particular product? So, we can keep the profit margin here. And here
[04:36:18] obviously you know. This thing is that if something is a percentage then you have to take its average,
[04:36:23] so on an average if I see then your home decor and beauty
[04:36:28] are giving almost the same but home decor and due ah beauty give you 24% so which is a
[04:36:34] very good thing, they are performing well and maybe it can be increased further
[04:36:38] whereas yes this which is a very good insight which we have created,
[04:36:44] on the side of it we can also create it for the product, so we
[04:36:48] forgot one thing, see that is why I myself forget, that is why I tell you also that you
[04:36:53] should not forget what was your channel, channel sale, so let us write channel, channel sale,
[04:37:00] ok do not give space, channel sale and in this we had written city sale and
[04:37:06] in this we have to write product category, category sale, we
[04:37:12] also name it in our own way so that we do not get confused again and again, the data of the other person
[04:37:16] can say anything but if we have named it in our own way then yes at least
[04:37:19] we We will not make any mistakes, no, let's say we have to make it for that,
[04:37:26] we have to make it for the product, so just hold the control and just drag it, I
[04:37:30] am holding the control, keep it pressed and drag it,
[04:37:33] as soon as your cursor changes, you will easily have the pivot, if you copy paste
[04:37:38] it again and again , then a person will get annoyed like this, okay and you have brought it here, this data of yours
[04:37:43] is ready, in any case, if I feel that I am making something else in which I
[04:37:49] will need it, then I will make it by hand, because here I felt that it
[04:37:53] may be needed more, so I have made it separately, now what to make for everyone,
[04:37:57] so whenever I need it at the time of visualization that this chart
[04:38:00] is not allowing me in my pivot, then I will convert it into normal, you
[04:38:05] know this thing that how can we convert our pivot data into the normal data and that too
[04:38:09] in a dynamic way, we will do that work by using the formula, so here
[04:38:13] if I see in planning I have done all the category related work, after that
[04:38:17] the payment mode and delivery status thing comes, so quickly go to KPI
[04:38:21] and take one more small one and hold down the control and just
[04:38:28] drag it to the side and see, oh I have placed this completely on the side, I have moved it
[04:38:32] a little to the side, yes, okay and I have done one more thing, hold down the control and
[04:38:38] do one more thing, keep this also a little to the side, see,
[04:38:43] when you have to do only this on the side, then you can use the normal cursor, this one cursor
[04:38:48] When you don't want to create it, hold the control and the cursor changes and then
[04:38:52] do that. Okay. And now what we had to do here was
[04:38:56] remove the product category. And you had to do payment mode. So the payment mode one is here.
[04:39:01] You can see the percentage. Or else I can delete it now. It's okay. It's
[04:39:06] okay. And what can you do in this also? By showing value as, you can show
[04:39:11] the percentage of the grand total of that particular card. Because
[04:39:15] what will I do after seeing the sale? I just need to know how much of which one I need to know. So I
[04:39:20] can do it like this. And the same goes with this. First I select it. I bring it here.
[04:39:24] Yes, okay, I have already kept a space for it.
[04:39:29] Okay, normal. And I will delete it. And this is
[04:39:35] your delivery status. And I will delete the profit. If you want to keep the amount, you
[04:39:41] can keep the amount. Otherwise, show this also in value as, that means if you want to see in amount
[04:39:45] that how many have been delivered, how many are in transit, how many are returned.
[04:39:48] If it is in then you can do this also or what else can you do, from here I
[04:39:52] take the net sale once again and
[04:39:56] show the percentage of grant total by showing the net sale as show value here, that this much product in transit, this much return, this much delivery
[04:40:01] has done a lot of business, we see the data, it is a dummy data, so it is made according to that, but
[04:40:07] your data is not necessary as it is shown here, it
[04:40:11] can be very steep high as well as steep low, so you can get any kind of data, so here
[04:40:14] if I talk about our planning, then we
[04:40:18] have planned all the things very well, there is nothing left like that now whatever is left, see now the quantity
[04:40:22] sold and unit price, these two things are left, for once I can see
[04:40:27] that thing anywhere, well this thing could have come here also that how much quantity is there or
[04:40:35] but we could have used it in the product that how much
[04:40:39] quantity of product we have sold because the profit margin is showing, so it
[04:40:45] is coming exactly like that, by removing this we will do it here We can keep quantity sold,
[04:40:49] how much amount did we earn by selling how many curtains, how much amount
[04:40:54] did we sell, how many face creams were sold, how many jackets were sold, how many
[04:40:58] jeans were sold, how many amounts came in, so yes we could keep quantity here, so
[04:41:02] I have used quantity here as the unit price. If you
[04:41:07] want to see the average order value of any customer, then you can see that,
[04:41:14] we can check this thing for once, we can do some experiment for once,
[04:41:19] so let me just have it over here and I will take the customer name here,
[04:41:24] remove the delivery status and also remove the net sales from here and remove this also
[04:41:28] and take the unit price and take its average, that on
[04:41:35] an average, every customer is one 10 and after that it started, okay, so if
[04:41:42] their on an average how much do they buy and earlier when it
[04:41:47] was even, even then it was coming this much, it was even, so after averaging it,
[04:41:54] it was still this much It is coming ok so that means here there are unique parties here
[04:42:00] the data of unique parties is written here so there is no use of it if
[04:42:05] there were no unique parties then I would have definitely considered this point we
[04:42:10] have nothing to do with unique parties so here for now we
[04:42:15] have created our KPIs at the initial level now when we start doing our visualization then
[04:42:19] in the process of visualization there will be many changes in our KPIs so they will definitely
[04:42:23] be seen for once I have to check its name I might have forgotten that the name also
[04:42:27] has to be changed see I forget so I also remember it myself
[04:42:32] so you also remember it it is not like that you also forget then why do you tell us
[04:42:37] product sale ok so you also have to remember and do it like this ok otherwise you
[04:42:44] will get confused payment mode
[04:42:51] ok payment mode and after that this last one of yours has come
[04:42:56] which is your delivery status so you can do it
[04:43:01] from here delivery status
[04:43:11] is ok it is done here all your KPIs are ready Bar look at this here see
[04:43:16] how many tables you have created here 1 2 four here it is 5 6 7
[04:43:22] 8 9 10 11 12 or 12 we have created pivot tables here now let's
[04:43:32] move ahead towards our visual representation see KPIs even while creating everything we end up
[04:43:36] forgetting something or the other so just a second ago I remembered that
[04:43:42] we didn't create anything for our date neither for quarter nor for month so we created for month
[04:43:46] Let's take the quarter and if we keep it in the timeline or in it, then it will work much better.
[04:43:51] So let's do one thing. From here,
[04:43:56] let's add a KPI with a date to our KPI. From here, we don't have to do anything else. We have
[04:44:01] to take the pivot once again. So, I have selected it and from here, for now, I
[04:44:05] have held the control and moved it to the side. So, it has come here. Now, all I
[04:44:09] have to do is click on it, go to Pivot Table Analyze, turn on the fill list and
[04:44:13] remove the delivery status from here.
[04:44:17] I remove the delivery status and after that, I
[04:44:24] will drag the date from here and bring it here. And wait a second, why has this date come here in this manner?
[04:44:29] Okay, so there is some issue in our date because our date
[04:44:34] has come here in a normal manner. Let me just zoom it first. And if I go to group it, then
[04:44:38] is it getting grouped or not? So, we will have to correct our date,
[04:44:42] as I told you, even when normal data comes, It happens many times that
[04:44:46] our data is not correct and now while creating KPI, I am realizing that the date
[04:44:50] is not correct. So in such a case, there will definitely be some issue in the main data. So
[04:44:54] we go to the main data and check it. Here I insert the column once
[04:44:57] and check it to see if the format looks correct to me. So
[04:45:01] for the format, I also make you check it once. If we check its format,
[04:45:04] then here it is DD M M Y Y YY which is a correct format. So
[04:45:08] I check it whether it is a number or not. Sometimes it happens that it
[04:45:13] is in text format. So we enter it falsely. So it
[04:45:17] is not in number format, which is very much like that, there is a problem in it. So first we
[04:45:22] change it to number format. I selected it, then went to the data tab,
[04:45:26] then took text to column. After text to column, took delimited, then
[04:45:30] clicked next. From here we know that here it has been done in semi colon. And
[04:45:37] from here we click OK. We did next and there is a date here,
[04:45:44] right? So select the date. DMY is a date, not a text, not a general, it is a
[04:45:49] date. After selecting it, you finish it. Now see, all of these have become true.
[04:45:53] That means it has been converted. Now you don't have to do anything. You
[04:45:58] have to go to KPI. You have to go to pivot table and from here you have to refresh all.
[04:46:03] After refreshing all, now you take it out from here and bring it back again. So from here, now your
[04:46:09] group should have increased. So let me do one thing, delete the pivot table and insert
[04:46:14] another pivot table. Fold it with control. I just drag it here
[04:46:19] . Okay, I did not finish. Control and Control C and here Control V has come.
[04:46:26] I removed it here. When I brought the date, the date is still not coming. Okay, there
[04:46:34] is still something wrong with the date somewhere. So we will have to check. See,
[04:46:38] we should keep checking in this way. There can be any mistake in our data.
[04:46:43] So when we checked here, it was fine. It was coming equals to is num tab
[04:46:49] enter value was coming true,
[04:46:53] nothing like this is seen anywhere, it
[04:47:00] is true everywhere, so our format is also absolutely correct DD MMYY, then this should have come,
[04:47:08] I delete it for once,
[04:47:15] here we go to KPI, refresh all, go again and refresh,
[04:47:23] check the data source once,
[04:47:27] the data source is also ok, after that I delete it or bring it back, it
[04:47:34] has come again, see it has come, now what we wanted was it should come month wise,
[04:47:40] so this came month wise, I delete the date also, it has come month wise, you
[04:47:44] need sales month wise, you need profit month wise, how much quantity of sales is there, this
[04:47:48] is also possible, so whatever you need in the way that how much
[04:47:53] quantity do we sell month wise and how much do we sell month wise, we keep this and
[04:47:57] what can we do with our profit percentage We can show this separately
[04:48:04] in the data labels. Okay, so the data label thing will come when our visual
[04:48:09] representation comes. So for now, let me remove the net sales to from here
[04:48:13] and replace it with quantity as quantity. Let me check it.
[04:48:18] [Music]
[04:48:21] Check the quantity. Okay, so here I have taken the quantity. In Jain, we
[04:48:26] have solved this much quantity. In FB, we have solved this much quantity, but this
[04:48:29] If quantity is not in the same parameter, then quantity cannot be taken here.
[04:48:34] Net sale, this is taken as unit price. If we take it, yes, unit price *
[04:48:41] quantity no unit price will also not work, only profit can work. See,
[04:48:48] in values, this is what I have, profit and this is it, so we keep it simple, we
[04:48:52] keep it as sale and we will definitely keep profit percentage also, but we
[04:48:56] will show it in a different way, okay, we will show it in a different way and here also we
[04:49:01] have written normal things, net sale, how much quantity was sold, okay and sale
[04:49:06] and average percentage percentage and net sale, profit amount is kept, okay and net
[04:49:12] sale, profit amount is kept, okay fine, so here our KPIs
[04:49:16] are now definitely completed in a completely complete manner. After this, let us now
[04:49:21] first apply the slicer and timeline and after that we will move towards the visual representation. We have to
[04:49:25] apply slicers everywhere, so as many things that we have created in which it is possible. There will be slicers
[04:49:30] , we will install them and timelines. So, I will do one thing,
[04:49:34] I will click on any of them because I have to do report connection in all of them. And
[04:49:38] while understanding the pivot table, we had not done the report connection, so now we
[04:49:42] will do that as well. So, we have clicked on this. And from here, we will insert a slicer for
[04:49:47] all the ones we need. We will do it all at once. So, keep reading,
[04:49:51] do we need a region slicer? If we need to know about a particular region, let's try it once. If we
[04:49:55] need it, we will keep it, otherwise we will not keep it. If we need it, what will we do for a particular city? If we
[04:50:01] don't do it for a city, okay? Yes, we definitely need sales channel. Yes, we definitely need product
[04:50:05] category. Yes, we definitely need all the categories. You can know, but there
[04:50:11] is no such thing that is mandatory. So, we will also take all the categories of the product. Let's do one thing.
[04:50:16] And from here, after that, you will get the payment mode, definitely the delivery
[04:50:20] status, and just this many timelines, these many slicers
[04:50:26] are enough for us. So, we have done it. What to do is to adjust them one by one.
[04:50:31] Why am I not able to decrease the size right now? Just decrease the size
[04:50:36] of your sheet for once and adjust it.
[04:50:40] See, and you know, by default, we want that our chart should
[04:50:45] be completely interactive, so there will be no need to think so much when we
[04:50:50] make the report connection because we want it to be the same for everyone, so you
[04:50:55] can do it as much as you want. Okay, and I have so many slicers. Okay,
[04:51:03] what color to do, what to do, I will think about it at the same time when I will do the visualization
[04:51:07] because I will get better clarity of the color only when I will be in the visualization. One
[04:51:12] more thing was left, which is city, so should we do one for city as well? Should we leave it?
[04:51:16] So let's take city here as well and for now let's do all of them. And later,
[04:51:22] if in any case we don't feel that we don't want to keep city, then don't keep it, I have done it for now.
[04:51:26] Okay, now how to do the report connection. See, now if I click on region,
[04:51:31] all of these will come out. From here, I click on region, then these will be there. Change this also,
[04:51:35] there was no difference in the rest, see if no changes are happening then this is not working, I
[04:51:39] have to do something like I click here and if there is a difference in all the rest then
[04:51:44] what will you do, right click after that
[04:51:48] from here what will you do, you will go to report connection and now see,
[04:51:53] the name is coming written, so I will get the name written, category wise channel wise, it
[04:51:57] has to be turned on in all, so now we do not need to think, when we do not have to add it in all,
[04:52:01] if we have to add it from a particular, then here the name is very useful for us, that we
[04:52:05] can directly go to that pawt and add it and do ok, this same process now
[04:52:10] see it worked in all, see it is working in this as well, it is working in this as well, see it
[04:52:15] is working in this as well, I cross it, see all the data has come, so it means
[04:52:18] it is working in all, okay, in the same way, you
[04:52:23] will have to create the report connections in all of them, yes, we have to create report connections one by one in all,
[04:52:27] you have to take care of whichever connection, if you find out something is left in it, if in one
[04:52:32] If the connection is not built with this then it will not work on that, your slicer will not
[04:52:36] work on that, okay so you have to pay attention and add all our slicers here
[04:52:42] with the report connection and in the same way now we are going to add a timeline as well,
[04:52:47] we are going to keep the same scenario with the timeline as well, so we will do it with the timeline
[04:52:52] We will turn it on and from here we have to take all the slicers, just give me a
[04:52:58] minute, I know it's a tiring process. I also feel that I
[04:53:02] have to go and do them one by one, but we have to do it, we need the result and how much it
[04:53:07] is making the work easy. Okay, right now this work may seem a little difficult, but it
[04:53:12] is making the work easy. See, right click on report
[04:53:19] connection here we go,
[04:53:29] see, we have connected this one as well, this one as well, I guess this one
[04:53:33] remains for the report connection, so we have reported all the connections. You
[04:53:38] should slowly turn all of them on. If you are studying along with me,
[04:53:43] practicing along with me, then it will be great because then you
[04:53:47] will be able to do all these things along with me. Okay, here you will not find it boring, rather you will feel that ma'am,
[04:53:52] you do it slowly, our speed is not that much. Okay, you just have to select all these, you
[04:53:59] have to do it okay. Now see, I am doing online offline. I am doing this Lucknow. I
[04:54:03] am selecting this. I am selecting anything. So here The change is happening, okay
[04:54:07] I will cross all of them, there should not be any error in any of them, so I
[04:54:11] have crossed all of them and here we go, so we have so many slicers,
[04:54:16] just like we have added slicers, we can also add timelines,
[04:54:20] we should turn on auto save and auto save is not available, why is it saying that
[04:54:27] auto save is not available in this, why is it saying so, we
[04:54:33] will check it later, right now auto save has been turned on, right, now we have to add more timelines, so I
[04:54:38] will go here, I will go to Pavitra Analyze and from here I will turn on insert timeline and
[04:54:43] turn on date and click ok, so this timeline is also important for us, so we
[04:54:48] have also taken the timeline from here and this also has to be connected to all with the report connection, so
[04:54:52] it is good here, there can be only one timeline, which is related to time,
[04:54:57] so here you will not have to work so hard and here you
[04:55:01] will connect it to all and click ok, now see, you are September If you do this, then see the data of September,
[04:55:05] it will come only where it is, it is not there anywhere, the data of September
[04:55:12] is not there anywhere, it is 2024, right? It will come in 2023. We have taken a dummy data,
[04:55:18] see, the data has come now, see, it means it is working on everything, before this nothing
[04:55:24] was coming, now it is coming on everything, now I have done it like this, so see, all
[04:55:29] the data has changed till the past, okay, so in this way, now your slicer is also working, your
[04:55:33] timeline is also working, we have created this entire working, now what we
[04:55:38] have to do is we have to create visuals, it is very easy, now we move towards our visuals,
[04:55:43] we have created it, we have created the timeline, now do one thing, do your screen exactly like this,
[04:55:47] do not shift them anywhere and a little downwards because if you
[04:55:52] create visuals now, then it will disturb and anyway we had to connect them, they are connected,
[04:55:56] so if there is anything, then it will give you some issue, so bring it here and
[04:56:02] shift it here, when the visualization is done, then we
[04:56:07] will remember them Till then there is no need to remember them, you come here and
[04:56:12] pay attention to the visuals, let's start, just like we created our KPIs, so we
[04:56:16] will start the visualization from there itself, okay, so the first visualization we have to
[04:56:21] do is of the total sales, so for that we have to create a card, which is
[04:56:26] directly created in Power BI, you know, so here we have to work a little hard, you
[04:56:29] will go to insert, take the shape from here, just give me a minute and we
[04:56:34] should take our highlighter, from here we will go to shapes, after going to shapes,
[04:56:40] the first thing you see is your text box, take it and
[04:56:44] draw it here, now see, I want this thing which is visible in the amount cell, I
[04:56:49] want it here, what do I do, I put equals to here, after that
[04:56:54] I take this cell and press enter, then it will not appear, so what does it mean, what I have been explaining to you till now
[04:56:58] that pivot puts a lot of restrictions, it
[04:57:03] does not allow every thing to work, it allows only a few things It allows
[04:57:07] when it comes to the visual representation, so what we have to do in such a case is a very
[04:57:11] simple thing that we
[04:57:16] have to convert our data into normal data, so here whenever we converted our data into normal data in pivot,
[04:57:20] then you know what we had to do, we
[04:57:24] had to just write the formula by applying equals to, so we will do the same thing here, there is a single amount or something else
[04:57:29] We don't even need to drag etc. So here we don't even need to think about anything else,
[04:57:33] we can just put equals to and enter it, apart from this we
[04:57:37] don't have to do anything else, now as soon as this amount changes, suppose I
[04:57:43] cannot remove net sales by deleting it, I add more cities and then remove it,
[04:57:49] so look, the count of cities has come here, okay, the reference is gone here
[04:57:54] because total sales is taken here, okay fine, but the thing is that as soon as I
[04:57:58] take the total sales again, just give me a minute, we took this and removed it, then it
[04:58:04] will come automatically, if there is any change in the amount and it
[04:58:08] is in the total sales only because this card is of total sales, then the changes will come here, okay, so
[04:58:13] now we can take it inside it, so we went to our text box, here
[04:58:17] our cursor is inside, so we have to write here in the formula bar equals to and this
[04:58:22] amount, now you enter, so look, it is inside it The amount is here, if this amount
[04:58:26] changes then it will change inside the text box as well. Now
[04:58:31] I need the same thing, the same text box for everyone. Later at the time of placement, we will think whether I
[04:58:34] want to do that for everyone or not. So what I do is, I
[04:58:38] hold down control shift and just drag it. So one comes here, hold down control shift,
[04:58:42] just drag it. Hold down control shift, just drag it. Okay, here
[04:58:49] take the total of everyone above each cell only because wherever anything comes, it
[04:58:53] will be taken above one cell only so that it is in an organized way and things look right to us.
[04:58:58] You can shift its text box a little upwards, so that your box
[04:59:02] looks complete here. So you have to do the same, enter equals to this cell here also. You have to do the same equals to this cell enter here also.
[04:59:07] We will add it in the text box. No problem. And you
[04:59:11] have to do the same here also, enter equals to this box. So here it has come,
[04:59:16] where did the text boxes here go? I don't know when they went. So we will do it once more. Let's take it, there is no problem by dragging it.
[04:59:21] Now here you can directly give this amount in equals to.
[04:59:26] Click enter. Now here in equals to, you just have to go and change the formula.
[04:59:32] You have to give these cells in equals to. So that this is the total. So you
[04:59:36] have to do small things and here you have created four cards. Okay, you
[04:59:42] have created four cards. You have prepared your visualization here. Colour etc.
[04:59:47] for that. Then we will think. For now let's do the basic things. Why are you not thinking because
[04:59:52] what kind of thing will look good there in the dashboard. We will decide according to the whole theme.
[04:59:56] So here we will focus completely
[05:00:01] on the visual representation. So right now we have created these four cards. Let's move to the next
[05:00:05] thing. If I click on this and go to Power Pivot Table Analyze, then I
[05:00:09] get to know that this is region cell. Under region cell there are two things, net sale and profit.
[05:00:14] So we had just learnt in the chart that whenever we have to show profit, we do it
[05:00:20] according to the trend. According to this, we can show the Net Sales which is our amount. If we
[05:00:25] want, we can make a combo chart in which
[05:00:30] we will see Net Sales in the form of bars and Profit according to the trend.
[05:00:37] So, to avoid any problem in making these two charts, I will use
[05:00:42] this data from here. After that, I will go to insert and from here I
[05:00:47] will take a normal column chart. Right now, in the column chart, both of them are coming together. But I
[05:00:52] don't want them in this way. I want them together. But
[05:00:58] we will make the second one a secondary axis and work on it. See, we have already read this thing in great detail.
[05:01:02] So, we will not spend much time in this. We are not
[05:01:07] doing it from scratch. We have already done these things. We know. But there are some things that we
[05:01:12] will have to do. We will do them. The same thing comes under the chart title.
[05:01:18] If you want to write the total here, that is, what is the total sales of your region. Or
[05:01:24] whatever your total is, it will come here. See, if I press enter from here.
[05:01:30] Should I give you a total? Do we need only the East or any other total?
[05:01:36] The total that comes here gets changed here. Okay, we need to use F13 just because there is a reference in the middle. We
[05:01:41] cannot give it directly from here but we can take this total. Okay, if I
[05:01:46] press Control-Z here, the full amount will appear. Here, I take equals to
[05:01:51] this cell of yours and press Enter, then this amount will remain as it is now.
[05:01:56] You can do one thing, apply a filter here and see, take it for central and see, the
[05:02:00] total that is coming here is coming here, so I can take the total here,
[05:02:05] okay, if I want to show the total, then basically in the chart title, if I
[05:02:09] want to write what my total sales are, then I can show it with a comma and
[05:02:14] in this way, I will get to know the total sales in each region, if I apply a slicer there,
[05:02:20] then the total that is being made will keep coming to me, so this
[05:02:24] is a better option, so what do I do here, in the chart title, we will
[05:02:30] have to apply a formula, here we will apply equals to text tab, after that we will give the value,
[05:02:36] which is your which value or we can also give it directly, now we
[05:02:40] know that this is a text box, so we do one thing, enter it and enter,
[05:02:44] then this value came, that is the total of your sales, okay, so you will see it, but
[05:02:51] it does not look good like this, so what will we
[05:02:56] write, we will invert it here We will put commas, write
[05:03:01] total sale is, then close the double inverted commas, put end, after that we
[05:03:10] have to give this cell but we will not be able to give this cell directly, so
[05:03:14] we will apply the text formula, we will tab and give the value, which value is ours, this is the value,
[05:03:19] we will keep the format zero in it because we want it in the format of the value and you
[05:03:23] will close it and press enter,
[05:03:29] let us see, let me apply the formula here once, I will equal to the
[05:03:38] total sale is, then we took this and put end, after this give a space also,
[05:03:48] put the text full here, tabbed, gave the value, put a comma, put zero, this is off,
[05:03:54] put enter, so this is coming, do one thing, copy it, you have done this, after that
[05:03:59] you turn on the char title here, the chart
[05:04:03] title comes, after that you paste it here and press enter, then it
[05:04:14] is not taking, it is not taking, it is saying that I will not apply the text formula, okay, we
[05:04:19] will apply this directly and see if it will take it, no, it is not taking this also,
[05:04:29] so okay, we will apply the total directly, there is no problem. So we
[05:04:34] did equals to and here ours comes, okay, our total will come here. Now
[05:04:41] let's talk about the chart. We have to make it a secondary axis, the sum of
[05:04:44] profit. So we right clicked and typed change series chart and from here we
[05:04:49] made it a secondary axis and from here we took cluster and clicked okay. So it
[05:04:53] looks like this. Let's do some coloring because the colors that we had thought of, we had thought of
[05:04:58] taking them in shading only. So if I talk about this one and we
[05:05:02] had thought of going to the color palette and taking monochromatic colors. So let's take monochromatic colors
[05:05:07] for once. Let's keep it for now. If there is a need to change it later, then we
[05:05:10] can change it later as well. Let's keep it as it is. And if I talk about the line, if
[05:05:15] we look in the line also, wait, then we don't like this one, this one
[05:05:21] was looking good, we can take black and we can make these points black from here, we can
[05:05:26] fill them with black. That looks better, I am finding it quite better. So we can make it
[05:05:33] like this. We can do this and at the same time I can turn off the legends because we know
[05:05:38] what our bars are showing us and what our lines will
[05:05:41] show us. We can turn off the grid lines. We can make our access title
[05:05:47] a little bold.
[05:05:53] If you want to do it, then select it and make it bold. Yes, and if you
[05:06:00] want to fill something in it, you can fill it as well.
[05:06:04] So this is giving a very good representation. I like it. So
[05:06:09] we have prepared it in this way. Here we have
[05:06:14] completed the representation of the region cell. Now when we move forward, we will move towards the city.
[05:06:19] If I have to show the city in what way, then how will we
[05:06:24] show it. So I had created it for everyone that I
[05:06:29] need it in simple data as well, but it is not necessary. Firstly, I can take the total and
[05:06:32] we will also show the sum of profit in some way or the other, in a different way, but I know this much that I
[05:06:37] have to show the sale. Here we have not shown the data labels, so if we
[05:06:42] want to show the data labels as well, then we can show them. We can right click, like plus it,
[05:06:47] go to data labels and then go to more options here and show values
[05:06:53] and value from any cell. We can show it in this way, but right now we
[05:07:00] want to show it in percentage, so first of all, I will turn it off.
[05:07:05] We have already turned off the levels for this. Are we getting the percentage here
[05:07:15] or not? We are not getting it. It's ok, no problem. We will go here and
[05:07:20] turn on the data level for once. We will find out the percentage for this one. It is
[05:07:27] not happening for this one. It's ok, no problem. We will turn it off from here. And here,
[05:07:43] by right clicking on it, we
[05:07:48] will show the percentage of grand total by doing show value. Now look, when I turn on the data label for
[05:07:55] this one, I have to turn it on
[05:08:02] . This chart is made from this and our sum of profit has not changed,
[05:08:07] whereas we have shown E13 in the region, which is this. And when the changes happen here,
[05:08:13] it should have come. It is not in the percentage format. Now it
[05:08:19] will be done . So it has come. We have to turn it a little towards the side. Let's do it
[05:08:25] in the call out format. So we will go here, we will go to the data label, we will go here, we
[05:08:30] will do it in the data call out format. No, we will do it above. No, we should do it right, left,
[05:08:38] center.
[05:08:46] We are already doing it carefully from here. We have taken the data label. We
[05:08:52] have done it. Bold and we don't color them in any way,
[05:08:59] neither yellow, no no no, this
[05:09:12] is fine, we have just because it was only a little, so we adjusted them ourselves
[05:09:18] so that it looks good, so see, it looks good now, let us move it a little to the side,
[05:09:23] if
[05:09:32] you are not able to do it on the side, then zoom in this way and then move it to the side,
[05:09:36] then it will be done easily, then you will be able to see space there, like look here, it
[05:09:42] is happening easily now, look, it looks very pretty, now I
[05:09:47] don't find any flaw in it, there is a need to move the 19 a little higher, because there is space in each of them,
[05:09:51] a little 19, hey 19, what are you doing
[05:09:57] brother, yes, this much is fine, so you will have to keep in mind these small things that I have
[05:10:02] to make it so perfect, because if we don't do this, then
[05:10:08] it won't look that beautiful at the time of dashboard, so now see how cute it looks, how cute
[05:10:12] your chart is ready, similarly now we are going to make one for the city also,
[05:10:17] what I had thought for the city was a bar chart, because a bar chart is one It will give a good
[05:10:21] representation, so we selected it, went to Pivotal Analyze,
[05:10:25] went to Pivot Chart and from here we take the bar chart and we click OK here,
[05:10:30] after taking the bar chart we see, if something doesn't look good then we will make something else,
[05:10:34] there is no such compulsion, if I have made it from the PIT itself then there
[05:10:39] is no problem in that also, we turn off the legends here, in legends I know that
[05:10:43] the orange one is showing your amount, if we right click on it and
[05:10:48] type change series chart and make the sum of profit as secondary axis and show it in this way,
[05:10:54] okay so our profit flow which is visible will be seen in this way,
[05:11:00] which is not good, it is not looking that good, if we see it area wise,
[05:11:06] no
[05:11:10] , it is not looking good, so firstly we delete it, we
[05:11:16] don't like this bar chart, second thing what can we do, we
[05:11:20] can make an area one here and see, so the area one will not leave us in the pivot because
[05:11:25] if we pivot If we go to the chart and take the area, then it is letting us create it,
[05:11:30] that's great, if it is letting
[05:11:35] us create it, then nothing could have been better than the fact that it has allowed us to create it. We also turn off our grid lines from here,
[05:11:41] we also turn off our legends. From here we have got a pretty good representation, but
[05:11:45] what we wanted to create was not this, so I type chain chart, wait,
[05:11:54] in change chart type, we take this one, this one and do ok and
[05:12:01] from here right click and change chart type, sorry, we do not want to change the chart type, we
[05:12:07] change series chart type, change chart and here we show it as secondary axis and
[05:12:13] here we show it in such a way that how our profit
[05:12:17] is also flowing, okay, we have done ok, both have changed, we
[05:12:23] will have to check again, okay, both have changed, we
[05:12:28] had to type change series chart, no, we only had to change this, we
[05:12:40] had to keep it as it is, okay yes that looks better, we change its color,
[05:12:46] the theme that we are using right now is dark theme, so we We are keeping it charcoal
[05:12:51] dark charcoal grey. We are keeping all of it black, the points
[05:12:59] and this line, we are filling it with mustard
[05:13:05] color. We will do one thing, we will click on it and here
[05:13:09] From here we will go to format data series data point and here we get the option
[05:13:15] that for the line we want a solid line but its colour is we
[05:13:19] want mustard we wanted complete yes it is fine now we want solid line in line and
[05:13:26] its colour is we want mustard so this seems to be a better representation to me it
[05:13:31] looks quite good but there should be some similarity between this colour and this colour so
[05:13:37] for that we will do something so that all the charts look aligned now
[05:13:42] I also want the outline of the pointers, I want no outline otherwise let's
[05:13:47] make it black outline
[05:13:51] I was talking about markers here we will go here only work from here
[05:13:56] because what is the problem here that it is fine now it is fine now and here
[05:14:02] the data label is we have to see for profit we don't want to see for that so I
[05:14:07] would like to turn on the data label and in the data label also if we
[05:14:12] check in more option from here what do we get, in the label option we are not getting anything
[05:14:16] so we will turn it off first of all turn it off Okay and this chart that we
[05:14:22] have made is from here so what do I do is
[05:14:26] I show the profit in percentage format so percentage of grand total I told you that there is no
[05:14:30] possibility that things will change later so that's why keep in mind that now from here I
[05:14:36] have to turn on the data level, I have turned it on but the size of this we
[05:14:42] have to make it very small like four
[05:14:46] and for the flow we are not green then I will
[05:14:55] have to make it 2.5 here no fill so we will keep it white only and we can make its color red
[05:15:03] and bold and we can increase the size a little and make it three that
[05:15:10] looks better and now I want to see how that chart
[05:15:14] is looking no I don't like it so
[05:15:19] I want to make it no fill so which is no fill it looks better
[05:15:26] and okay now for this we will see how we want in access
[05:15:31] category number on tick marks between the categorize and no okay if I
[05:15:40] stretch it a little more If I go, it will go straight. If I
[05:15:45] stretch it this much here, then see, after how much it
[05:15:51] is stretched, it looks straight. So if I have space, I have space there, then I
[05:15:56] will stretch it this much, otherwise I will have to keep it as it is. Okay, I will have to keep it like that.
[05:16:01] If I talk about what kind of data labels are there in this. If we
[05:16:06] talk about its data levels, then they will not even be visible. So we have prepared a chart here,
[05:16:10] which is your area chart. Please make it smaller for now. As soon as
[05:16:15] it happens that we can also keep its bigger version here, then
[05:16:21] we will definitely keep it here. If we want to remove the access, then remove the access. So how will it work? It
[05:16:26] will not work. So we will turn on the access because there is double access. As soon as there
[05:16:30] is double access, we cannot do anything. So that looks better. For now, we
[05:16:35] will leave it here. Okay. What is the next chart that comes to you?
[05:16:38] Online and offline, which is a small entry. Where there is a small entry, we
[05:16:43] will always make a pie. So We will go to Pivot Table Analyze. We will go to Pivot Chart.
[05:16:48] We will take pie from here. It is up to you which pie you want to take. I have taken this simple pie.
[05:16:52] And for the pie, I will tell you one thing. Firstly,
[05:16:56] I can turn off the legends of offline and online. I
[05:17:01] can turn on the chart title. We can write online and slash offline in it.
[05:17:06] So I can write online slash offline by pressing control A. So that you know
[05:17:15] what it is. And here, if we want to remove something else here, okay.
[05:17:22] If I want to increase its size overall, I can do it. I
[05:17:28] have increased its size overall. I want
[05:17:33] the text that I want here. And I have placed it in the middle here.
[05:17:40] Okay, if I want to make it a little smaller, I can definitely do it. If
[05:17:46] I don't want these things, I can go to Pivot Table Options.
[05:17:53] If I don't want these things, average of
[05:17:58] discount, then I have to hide all field buttons on the chart from here. I have removed it and here
[05:18:05] I can place it here, we can see it online and offline, now
[05:18:11] I can go to the brush and come to the bottom here, the one at the bottom is quite good, this one
[05:18:16] is quite reflective, okay and you can also go to color here, monochromatic.
[05:18:21] If you want to give any color, you can do so and whatever you like, you
[05:18:27] can give that kind of color here and if you want to do some color on your own, you can do that as well. I
[05:18:31] like blue, so I have made it blue. Okay, online and offline are visible here.
[05:18:36] After that, we will definitely turn on data levels in it, but what we want
[05:18:40] is in terms of percentage. So, instead of turning on the data labels here, we should
[05:18:45] go to the option and go to the more option and see. Here in the label option,
[05:18:50] what do we get? Is the value in percentage visible? Turn off the value in it.
[05:18:54] Sometimes, options come here directly. So now you have done it here.
[05:18:58] Turn it off. Now what do you do with it? Go to home and make it bold. And
[05:19:04] increase the size a little here. Which is your 16 is looking fine and make it white. So, now
[05:19:10] see, this is a working thing of yours. Well, here you have shown it for net sales.
[05:19:16] Which is your net sales? If it changes, then you
[05:19:21] have not shown the average discount. 49% 51% This has been shown, the average discount is not
[05:19:27] shown inside this, we do not want to show it, it seems right to me here that how much was the sale, both
[05:19:32] are the same, if we do not want to show this thing, then we can also remove it from here,
[05:19:37] ours is properly ready, I had told you na, you can create things initially,
[05:19:41] there is no problem, when you create the chart, you will understand this thing more, let's move
[05:19:46] to the next chart, the next chart which we have to create,
[05:19:50] has to be created for the category here, you can see from here it's a category sale, okay so here
[05:19:55] I am talking about category, so I want to create a tree map and tree map, if I
[05:19:58] go to pivot chart and check, okay I am so sorry, then I go to the chart and
[05:20:03] click on the click, go to tree map, then it does not allow me, it does not allow me, so
[05:20:06] obviously I had told you na, the things which are not happening, no problem,
[05:20:10] we will do it later, so here I have to show the same thing, so I copy it here and paste it here
[05:20:14] . hm okay and we can keep it right here, there is no problem and
[05:20:19] after doing it here we will take equals to, if we need it then we will take
[05:20:23] it later, so what do we have to do by removing the beauty here, we
[05:20:29] have to select this cell and enter it and now when I drag, this amount will appear, okay
[05:20:33] so here my normal data is already created, we have to select it, we
[05:20:38] will go to insert and take the treemap from here, okay, first of all I
[05:20:43] have to come here and remove the legends, I have to remove a chart title, I come
[05:20:48] and see it carefully that it has not shown, data level is the main game changer
[05:20:54] will be inside it, so we need more data value and why are we not able to write more things here,
[05:21:01] we have written the value and there is no option that we
[05:21:06] can do any percentage etc. here ourselves, but it is looking fine, I am
[05:21:10] not really finding it, category is journal formal code is journal link to the
[05:21:15] source, okay fine, okay This looks fine to me. We can go to colours here. Just because
[05:21:20] we are doing things in monochromatic style, should we make it blue
[05:21:26] or red or yellow? So we can select it. We
[05:21:30] went to home. We made it bold. We made it black. That looks fine. Okay. So
[05:21:37] in this way, if we want, we can make another sunburst in it. Sunburst
[05:21:41] is a pie rope of that only. So we selected it. We went to insert and
[05:21:47] clicked on extensions from here.
[05:21:51] We went to all charts. We took sunburst from here and clicked okay. So I think
[05:21:55] sunburst looks more attractive rather than
[05:21:59] the trap for now. So I will remove it. In data levels, we get some more options.
[05:22:04] Are we not getting it in that as well? We get to write values.
[05:22:08] If I want to see the colour here as well, I already
[05:22:12] like the colour a lot. To be honest, I can take that colour as well. Or If we want to take some more color
[05:22:17] then we can take that as well here Oh my God black looks so good black looks
[05:22:22] so good so we will take this one, we will remove the tree map, we don't need the tree
[05:22:27] map, we will manage with sunb, okay so we will bring it, okay we
[05:22:32] have brought it here, let's adjust it a little, as soon as we adjust it,
[05:22:37] the labels inside it go away just because they are written in that manner, so what I do for once is
[05:22:40] I reduce their size a little, so when the size is reduced, if
[05:22:44] If we decrease the size, it will be fine. After that, I make it bold. Reduce the size and
[05:22:49] make it bold so that it can be seen. And then I increase its size. So now when I
[05:22:53] decrease its size a little bit, all of them are not going because we will
[05:22:57] have to decrease the size there. So they will come in this way. But I will do one thing, I select them and if
[05:23:02] we are not able to do anything else, then okay, we will try there that we
[05:23:06] can show its size only this much. So that looks fine and beautiful. So far, we
[05:23:12] have made one pie in this way. The rest of the charts have been made in this way only.
[05:23:16] So, we can make more. There is no such problem. Now, let's move to the next
[05:23:22] visualization which is your product name. I guess, we will go here. Product sale,
[05:23:28] I am correct. So, we can take it. We have to show the quantity sold and we have
[05:23:34] to show the net sale. So, inside this, we can make a chart with a thermometer. But we
[05:23:38] can make the thermometer solid so that we
[05:23:44] sold this much quantity to make this much sale. So, we will select it here. From here. Let's go to Pawtick
[05:23:50] chart, take a one column chart and click OK. The sum of
[05:23:53] quantity sold is obviously within this. So what do we do? First of all,
[05:23:59] turn off the legends. Even after the legend is off, the access
[05:24:04] cannot be made to work. We will do this. We will right click and
[05:24:08] go to chain chart type and take secondary access from here. Okay,
[05:24:14] we can see it. So what do I have to do with the blue one? First of all, these overlaps are
[05:24:20] already there. The gap width has to be increased.
[05:24:24] The gap width has increased.
[05:24:29] The colours of these, oh my God, are not looking good.
[05:24:34] None of the colours are looking good. I have taken black and
[05:24:40] I will change the colour inside it to some other colour which
[05:24:45] is mustard. Okay. And let's reduce its gap width. And the ones below, we also
[05:24:51] reduce them a little. That looks great. And what is the quantity sold?
[05:24:57] So, turn off the grid line. And what is the quantity sold? For this, turn on the data labels
[05:25:01] and it's okay. And from here, if we talk about percentage in terms of percentage, then if
[05:25:08] I right click on it and make it percentage of grand total by showing value as, then
[05:25:13] for selling this much quantity, our net sale comes out to be this much, so this
[05:25:18] is also okay. And we have done it in percentage, it's the same thing. And we have decreased its size.
[05:25:22] We can also make it bold. We can keep it in yellow here and
[05:25:28] make it black here. And we will have to decrease its size to five.
[05:25:32] And we can adjust them
[05:25:40] together. Or show all of them at the top. That looks
[05:25:46] better. See in one line.
[05:25:58] Even now, they are not visible in a line. So zoom in a little bit. And
[05:26:02] see from here. To make the visualization beautiful, one has to work. That's why it
[05:26:06] takes time. If it's like this, then it won't be beautiful. One
[05:26:10] has to work a little bit. Okay. A little bit higher.
[05:26:19] A little bit higher. And a little bit higher. Okay.
[05:26:27] And from here, if I don't want these things, then I can click on the hide all fields button on the chart.
[05:26:33] Let me give it to you and I wanted to hide this as well. Let me hide the access button on
[05:26:39] the chart. So I have hidden this as well. It looks quite better for now. Nice.
[05:26:46] If we want to give some more color to the inner color, can we do that? So we have made it
[05:26:51] charcoal grey. I have outlined it. By mistake, I
[05:26:56] have selected a single color. I clicked on it. All of them came. And
[05:27:00] if we want to keep it orange from here, no, we can make it grey. From here, we have made it black.
[05:27:07] That looks better. Yes, this was happening there. Black was coming out. Grey
[05:27:13] was coming in. Now I am liking it. A little less black, more grey. And this looks
[05:27:17] perfectly fine. I am liking it. We can move this one a little upwards. That
[05:27:24] looks better. So we have also created another chart here. This is your
[05:27:28] thermometer chart. If you can see, I have called it out there. This was our normal to
[05:27:32] access chart. That is why, at that time, all the charts have been taught because
[05:27:36] we can create these charts in different ways. Come on. Let's move to the next which is
[05:27:41] your channel, I guess how can we do it through payment mode, so look, there
[05:27:48] is very little data, so if we want, we can show it with that, we can show it with pie, we can show it with donut,
[05:27:53] that would be great, it can be an option and if we look at the circulars, we
[05:27:58] have only two, so circulars look good anyway, so what I would like to show in it is that
[05:28:03] I would like to show it with a donut. If I go to the Pewter chart and go to the pie,
[05:28:07] in the pie it is allowing me the donut. Okay, fine. If it is allowing me then I
[05:28:11] don't have any problem. So after allowing you come down and there is a donut in the middle. This
[05:28:16] one is not there, this one is not there, and this donut is also not there. I don't like any donut,
[05:28:23] we will not take that. We will make it ourselves. First of all we
[05:28:27] have to remove it. So we have done hide all value buttons. From here we
[05:28:31] also have to remove its four titles. Okay, we have to remove four titles.
[05:28:37] What do we have to do with the legends, they are needed at the bottom. Okay, wherever you want it, you
[05:28:42] can write remove field there
[05:28:46] and do hide on buttons on the chart. And after that I adjust it. Here
[05:28:52] we have to increase its size. Okay, so we have done it like this.
[05:28:58] Adjust it a little more so that it gets adjusted from here.
[05:29:02] It gets adjusted from here. Okay, now see, it doesn't look like a donut. It looks like
[05:29:08] an onion ring, right. As we had discussed earlier, what we need to do is
[05:29:12] select it. Raise it a little. Make it a little bigger and
[05:29:18] move it upwards. So, we need to select it. We need to go to the option here.
[05:29:25] For now, I am not seeing any such option. Click on it, right click
[05:29:29] and go to format data series. Reduce the size of the donut hole. See,
[05:29:33] now it looks better. And if you want to explode, you
[05:29:37] can also do a slight explosion. But if you don't want such an explosion, then reduce it a little. Yes, that's better. Okay. And
[05:29:42] if you want to change the angle of the slice, put the yellow on top and the blue on the bottom.
[05:29:46] So, I like this angle better. So, we have done it like this. That looks so beautiful. If
[05:29:51] I take it here, go to fill and give a gradient line to its border
[05:29:56] so that it looks raised. So, in gradient
[05:30:02] also, in preset, we can give something like this. We can give it blue color or
[05:30:08] dark blue color. You can give it a look that looks better but I
[05:30:14] want the colours to be monochromatic which are monochromatic shades of blue. It looks so
[05:30:20] beautiful, isn't it? It looks good or we may want to give some other colour and
[05:30:25] let's set a contrast because all of us are using blue and black. So
[05:30:29] the contrast that will go with it will be of mustard because both blue and black
[05:30:34] are dark colours. So a lighter colour that goes with it will enhance it further. So that's why I
[05:30:39] chose this colour. And here inside the borders, we have taken that preset.
[05:30:45] Sorry inside the border, we have taken a solid line or a gradient line.
[05:30:50] Inside the gradient line, we give it a yellowish line. We did not want a line inside it.
[05:30:55] Sorry, we wanted a line inside the chart. So we will click on it
[05:31:00] and after that in its fill, we will say gradient line. And the gradient
[05:31:05] line of its fill will be yellowish, not so yellowish. And if its lighter
[05:31:11] shade becomes a little lighter, that looks better. But if it becomes a little better, then it
[05:31:21] is better, no, a little lighter, a little lighter,
[05:31:30] right now it looks better to me. Inside this, we also turn on the data labels, so we
[05:31:35] like you have turned on the data labels by going to the plus sign. We
[05:31:40] make it a little smaller. We keep it six here and here we make it bold and we
[05:31:45] make it in the form of call out. It will look better. Data call out, but if
[05:31:50] we show me data call out, no, it looks better. We have made the size smaller. Well,
[05:31:58] what other options do we get? Let's see, it
[05:32:02] is already in the percentage format. We can remove the value. That's better and that's it. And after this,
[05:32:09] what can we do? We can make its size a little smaller. We made it seven. No, we made it seven.
[05:32:14] After that, we made it bold. After that, if we make it white, then it
[05:32:19] looks good. But it will be visible otherwise there is no benefit. So, we will let it remain black.
[05:32:25] So here we have completed another visualization. Let's
[05:32:29] move to the next one. Now what do we have to do? What do we have here? Obviously
[05:32:35] remove the filter brother, let's show what we want to show now, we
[05:32:41] want to show this one more, so let's do one thing, anyway it is normal, generally
[05:32:45] we use tree map more in categories and sub categories, now we are
[05:32:49] going to make a tree map for sure, I will not change it and from here now see, I have shown the same thing in percentage,
[05:32:54] so show it in percentage, that is better and for making a tree map
[05:32:58] You will need the data below anyway, so first of all create the data, you
[05:33:03] can take equals to this from here, after that in place of cancel, you
[05:33:11] will have to give the reference of the cell here, so you have taken the reference of the cell, press enter, after that just
[05:33:16] drag it, so you have it here, if you want to take the total, you
[05:33:20] can also take alt equal to total or you can also do one thing, take total from here, from here, okay, then
[05:33:25] your total will also remain as it is and after that if you want to take percentage, you
[05:33:30] can take percentage, there is no problem in that or else I would say convert this itself into percentage,
[05:33:34] show value as a percentage of grand total, so see, whatever these values
[05:33:39] are, they will become percentage, but it looks better in values, so
[05:33:44] for now I selected it, after that I went to insert,
[05:33:48] went to tree map and from here we took the tree map and what can we do, we
[05:33:55] can take total for the chart title, total, this is what we had learnt How do we get the total
[05:34:00] by doing equals to, we have to put a cell here and press enter, so here
[05:34:05] inside the chart title, we do equals to, sorry, in the chart title or
[05:34:11] in the formula bar,
[05:34:15] click on the chart title, after that click on the formula bar,
[05:34:19] write equals to and after that give it to the cell and press enter, see, there was a mistake here,
[05:34:25] I am saying turn on the chart title, click on this here,
[05:34:33] ok, I understand why it is not working, it will work now,
[05:34:47] in the formula bar, why am I not able to write, look at the chart title,
[05:34:51] I am able to do this work now and I am not able to do it now, sometimes this thing shows in this way,
[05:34:56] so what will we do here, we are able to take some data,
[05:35:03] we are not able to write, no problem, we will also turn off one or two legends here,
[05:35:09] by turning on the data labels here, we will also show the values in the move data level, okay
[05:35:14] , we will show the values a little bigger here, we will not show them too big here, we
[05:35:21] will make it 12 here, make it bold, okay, if you want to keep some other color It is
[05:35:26] just because the colour is looking good, but we have used grey, we
[05:35:30] have used mustard, we have used blue, instead of this we should use something else, instead of this we
[05:35:35] can use black blue, this one, mustard and here we can use black,
[05:35:40] I have not done this myself, okay it will not happen in all, wait I made a mistake,
[05:35:46] I just had to select it and then make it black, so that looks better, all these colours
[05:35:52] are the ones that we have used in our theme, so we can do things as per our wish
[05:35:57] , if we want this type of colour, see, now it is matching
[05:36:01] with your whole theme, these colours have gone to blue, well you
[05:36:05] can change this blue a little bit if you want, you
[05:36:09] can take a slightly lighter blue instead of this blue, which is this and looks more fine because here also this
[05:36:14] blue is there and there is a little lighter blue there, but still this blue
[05:36:19] is complementing that blue, so you have to take care of all the colours, three-four colours
[05:36:23] You have to choose that I want to use this color in my entire dashboard and
[05:36:28] then you have to play with those colors and adjust them in the same way.
[05:36:32] If you don't get it directly in the colors, then you have to create the same
[05:36:37] colors yourself. Then we have the month here. In the month, it
[05:36:43] is very clear that I want to create a bar chart and I don't have to create anything else. I am very pretty much
[05:36:48] sure about it. So I come here and I click on it and write and
[05:36:53] I have hidden all buttons. Now I see that yes, I am able to write it. I
[05:36:58] was not able to write equals to in the same. I want to write total, so I will not be able to do total.
[05:37:03] It will not allow me to do this. I remembered it suddenly. So what do I do?
[05:37:07] I write equals to its total here and press enter. And now I go
[05:37:12] here and take its total and press enter. So I
[05:37:17] will have total sale. Okay, my total sale would be this. And from here I turn off the grid line.
[05:37:22] From here, if I want to turn it off, I can also turn off the legends.
[05:37:27] If I even want to remove access, I can remove access, but it
[05:37:31] won't look good without access. I don't want access title. I want data label and outside and
[05:37:38] pay. And the data label that I want is in percentage format, that is,
[05:37:44] what is the total percentage. So, for now, I turn off the data level. So that, I
[05:37:48] can do a little work for the data label. Okay, so for the data label, I have to do a little work here.
[05:37:52] What work do I have to do? I select it, right click and
[05:37:56] go to Show value as percentage of grand total. I will do this because it will show the data like this
[05:38:00] but the label that will come now, it will come now its total but it
[05:38:05] will not come 100%. So here I do control Z once and here this amount, well
[05:38:12] here we will have to do it once more, we create another pivot
[05:38:19] with control, just drag it over here and after dragging, now we take it and right
[05:38:24] click and do Show value as percentage of grand total. Okay, this
[05:38:29] pivot has been made only and only for this, the data levels that we have to create,
[05:38:33] okay I want the data level in its percentage, if I make it in percentage
[05:38:37] then its total will not come, okay so I will go to the data level, go to data labels,
[05:38:41] right click and go to more option, you will find the option of data labels in the last,
[05:38:45] here I will take the value from the cells and here in range, I will give it,
[05:38:50] okay, in range I have done I have given it and
[05:38:54] but the problem here will be that if this thing is changed then it
[05:39:00] will not come here, so here we will not do this thing, we will not do this thing,
[05:39:08] we will do something else, first of all I turn off its data label, okay, we
[05:39:13] will not do this, so we will take it and right click and delete pivot table and
[05:39:18] copy it from here
[05:39:20] , we paste it here, we copy it here,
[05:39:27] we paste it here and now what will we do, equal to this amount divided by
[05:39:34] now this amount that we have taken month date net sales, okay divided by
[05:39:44] this total and we do this, drag it
[05:39:50] and then we do it in percentage, so 14 1/2% has come because it has come the same,
[05:39:56] in some way I can say this and why has it come the same because
[05:40:01] it will not work here in this way, should
[05:40:07] we look at some other option, should we go to data level, go here, go to more option, go
[05:40:14] to label option, it is not showing in percentage,
[05:40:19] let's do one thing, take it here So the pivot table is turned on, isn't it? What is this?
[05:40:25] Net sales, isn't it? Let's add net sales once more. Right click here and
[05:40:30] show show value as percentage of grand total. Okay, so it did
[05:40:35] n't make any difference here. And now the data labels that we want to turn on, if we turn on the data labels, then these ones
[05:40:40] have to be turned off, delete them. And these ones, where we want to show them, are
[05:40:46] on the outside end. So why aren't they coming on the outside end? No problem. We
[05:40:51] can stretch them here once like this.
[05:40:59] But it would have been better if all of them came together.
[05:41:07] They aren't coming even when we hold the control.
[05:41:12] This will become a very tiring task. If we start doing it this way
[05:41:21] , no, we can't do it this way. We will see some more options. Let's
[05:41:27] delete this too. In this, right click here and
[05:41:32] show the access of our change service chart type to the sum of net sales to the second. And we do it like this. We
[05:41:38] go here. We turn on the data labels here.
[05:41:42] And this is inside out and if we want to call it out, then did a call. Out inside out
[05:41:49] is okay and I turn it on and off which looks fine and now if I
[05:41:56] change it again and remove it and press ok, will it work? If not, then we
[05:42:02] will have to show it like this, it doesn't matter, it should show in percentage, but it is visible, right?
[05:42:07] We right click on it and do something with the same color, we
[05:42:12] make it secondary access, so it is coming from the top here, I don't need this access, so I
[05:42:16] deleted it, even if I delete it, it won't work.
[05:42:21] This is a little issue, there is a little issue, I just want it like this that the month
[05:42:28] will change there, so these values should also change, that's why I wanted this thing, but it's
[05:42:33] not happening, let me just do it again, see, I am not going to cut this
[05:42:39] video from here, if you are feeling like this, because these problems will come with you also,
[05:42:44] if I do all the things directly and show you, then you will feel that ma'am
[05:42:48] does it in one go, but I am not able to do it, so I don't want to do that thing, this type
[05:42:52] of problems come Yes, we don't have to do it in secondary access, we
[05:42:56] can change it because I don't need access on top
[05:43:02] , but we can do it here in this way,
[05:43:07] yes it is easy and now we can do it in this way without that,
[05:43:17] we will settle it in 1 second, we will settle the sum, there is no problem in that
[05:43:22] Turn on the data labels for once, I don't want these ones
[05:43:29] outside and I wanted the orange ones.
[05:43:34] Turn on the legends. We have brought the sum of net sales, net sales two to the top. Net sales two is
[05:43:41] blue. So, net sales two is blue. So, this is the blue one. Turn on the data levels and turn them off.
[05:43:51] Tell me one thing, if I remove this, then the story will end. Why
[05:43:57] was I worried for so long? I was worried for a total here.
[05:44:09] We will not do the total inside the chart. Simply
[05:44:14] turn off the legend from here.
[05:44:18] But we also need the total. Without the total, things won't work. Then this is what happened.
[05:44:24] We compromised with that thing.
[05:44:33] So, for the total, we will look for something else. Being so worried, we have discussed these things.
[05:44:38] What can we do for the total? What will we do for the total?
[05:44:50] For the total, we will do one thing, let's create another pivot, so that if there
[05:44:57] are changes in this pivot, then changes will also occur in this pivot. We will not keep this in it, we
[05:45:07] will place it here. Here we put net sales in it.
[05:45:17] Now I filter it out inside it for once that what we want is the
[05:45:21] number of people we want, will it change or not, it
[05:45:29] will not change, so I cannot pivot the pivot,
[05:45:35] I will remove it here
[05:45:39] , delete it and we copy it from here, paste it here,
[05:45:55] let's see where the net sales was,
[05:46:19] after that a solution has come to mind, okay, it
[05:46:24] can be tried, now it will work or not, it is in front of you, okay, let
[05:46:30] me do alt h e a and I literally need another pivot, yes ma'am, then you have come to the pivot, yes
[05:46:36] I have definitely come because now a mischief has come to my mind that how can we do it,
[05:46:40] okay, this thing, our pivot has not been turned on, wait for once,
[05:46:46] I have turned on the pivot table and fill list and I will add the net sales one more time and
[05:46:52] remove it from here, then my values will come here, okay and now when
[05:46:58] I take the total, here the total I take is equals. So, I'll take this total and
[05:47:03] enter it. And the thing is, here we had taken all the slicers.
[05:47:10] There was a timeline slicer, sorry, there was a timeline, from the timeline itself. So, we
[05:47:15] were going to run this for a while. Bring the timeline here. Look, bring the chart
[05:47:20] here. I want the November total. Here is the November total. Here is the total and here
[05:47:28] is the January total. Because we have taken out this pivot from this, so the changes that
[05:47:34] will come in this will also come in this. And here it is.
[05:47:38] So now we are sorted. Well, here in the total we
[05:47:47] are not sorted yet. Okay, then something happened to us, turn on control s. It got turned on.
[05:47:52] Here we will be able to write equals to this, this is what we want in the total. Enter, so our
[05:47:57] total is also coming. Now we are sorted. We don't need to do anything. We just
[05:48:02] had this timeline issue. See, we did think a bit for so long. No doubt,
[05:48:08] we did think for so long, but it worked. Using our brains
[05:48:14] helped us a lot. We turned on data labels. We have selected it,
[05:48:17] we have made it bold, what color do we make them, right now there
[05:48:23] is a lot of black black, you can see, from here black, this is also
[05:48:27] a little less ratio of black black black blue, so let us show
[05:48:32] it a little on the dark blue side, right? So what do we do to it
[05:48:37] , make it dark blue, which is good, it has become one color, so we take it from here and
[05:48:42] make it dark blue, what do we do to these callouts,
[05:48:47] the same yellow fill and black, and decrease the size a little,
[05:48:53] these look better to me now,
[05:48:56] stretch them a little here, stretch them here, so
[05:49:01] we are the same thing, then stretching has started, so that
[05:49:06] will not look good, so let's keep them as they are, that looks better and if we
[05:49:11] want, we can remove it, we can do no fill, we had to do no fill for these,
[05:49:18] no fill no fill no fill no fill, okay that looks better to me for now,
[05:49:24] if we make some more changes If it is there then we will do it in the last, if we want to do something inside it
[05:49:27] then we can do it, I have taken this blue, I have taken white inside it, I have made it bold,
[05:49:32] so this total will keep running, now look, this January total is also running, all the things
[05:49:37] are going on, I am so happy, if after such a long time something gets solved then it
[05:49:42] brings a lot of happiness, you cross it, now if you see, then all the visualizations are there for you.
[05:49:46] We are done, now let's move to the dashboard screen where we
[05:49:51] are going to plan our dashboard. We are going to do the dashboard. So now let's
[05:49:54] move towards that. Our planning has come. We have to
[05:49:59] assemble the hard work that we have done for so long. Before assembling, we have to do planning. So first
[05:50:04] let's know how many slicers we have. So look, there are seven slicers from 1, 2, 3, 4, 5, 6, 7.
[05:50:11] There is a timeline and after that there are charts. So let me do one thing. I
[05:50:15] do the planning here only. Only then will it be understood better. Otherwise I will have to come here again and again. There
[05:50:20] is nothing else. So we will do a rough planning. Rough planning. So if this
[05:50:26] is my dashboard screen, first of all I decide because my whole dashboard
[05:50:30] is going to be made in which there are seven slicers, there is a timeline and if I talk about the charts,
[05:50:34] then how many charts do I have? There are four tags out of which I
[05:50:39] am taking only two tags. So 1, 2, 3, 4, 5, 6, 7, 8. I have charts, so it is quite
[05:50:45] interactive. And this is a very big chart, so firstly I have decided that
[05:50:50] I will make a full screen dashboard under any heading here, what kind of dashboard
[05:50:54] will I make, I will make it a full screen one and just
[05:50:59] zoom it and we have to zoom in a little more here there is a box here, we
[05:51:06] will go on writing here, okay and look, first of all
[05:51:11] our title will come here, what are we making, right now I am making it rough, okay,
[05:51:15] so keep all my handwriting drawings aside, okay, so here we
[05:51:22] will give the title, okay, after that we are saying
[05:51:27] that there are seven slicers, so here we will get time to add a slicer and add a timeline here,
[05:51:32] if we adjust our timeline here, then the timeline will be adjusted and one SL
[05:51:37] one which is slicer one will be adjusted, then we are left with six slicers, so
[05:51:42] we will put all the six slicers here in threes, that looks better,
[05:51:49] after that we get tags, we will get two tags, so the tag
[05:51:54] will come here, this SL Two 3 4 5 6 7 In the same way we have to see the placement, if I
[05:52:02] take three tags, then I am using only two tags right now or take three tags, okay,
[05:52:09] we have taken three tags, after that if I see, two column
[05:52:13] charts are formed, one is this one with which is my thermometer and one with 2 access,
[05:52:18] apart from that there is no column chart, there are two column charts, one area chart is
[05:52:25] three, that too will be column wise because it is vertical, so we get three column
[05:52:30] charts, so we will have to adjust all three here,
[05:52:35] one two and we can take out a little more extra, this is three, okay, we have a bar
[05:52:42] chart, if I see, there is only one bar chart which is your month, so
[05:52:47] I can keep the bar chart equal to both of them here because the bar chart
[05:52:51] is a little more horizontally, so the length is less, so we can keep the bar chart here
[05:52:56] and we can keep a tree map here, we can keep the tree map here, now here
[05:53:02] we have three pies, if I talk about
[05:53:09] three One, two, three of pies. Apart from this, there is no pie. Yes, apart from this, there
[05:53:16] is no pie. So what do I do here? 1 pie, 2 pie, 3 pie. And then,
[05:53:25] in this space that will be left, we will attach links. Those who
[05:53:29] want to go to KPIs, go to KPIs. Those who want to go to our main data, go to main
[05:53:34] data . We will attach two such links. That would be a better icon. Okay. So far, this
[05:53:40] planning looks absolutely fine to me. If you look at it, 1, 2, 3, 4, 5, 6, 7, 8. So,
[05:53:47] all our charts are covered. Our tags are covered. Our slicers
[05:53:51] are covered. And this is our rough planning. So,
[05:53:56] we have a road map as to how we have to do the placement. If we
[05:54:00] go without any planning, then there will be a little difficulty in placement
[05:54:04] because we will not understand where to place which thing. Now that we have done this,
[05:54:08] apart from this, we will also have to look at the colours because we have already done the colours.
[05:54:12] Apart from this we also have to see other things as to how we can do all the things
[05:54:16] so we will see those things there only and that process is going to happen a little slowly.
[05:54:21] I am working on this data for the first time in front of you all and when you
[05:54:26] work on data for the first time it happens a little slow, it is not as if I have practiced it before
[05:54:29] and I have brought the same data and am making the same dashboard, otherwise
[05:54:34] whatever happens for the first time because you all are also learning so you all should also learn like this
[05:54:38] If you are going to work in the same way, then we will work in the same way. Okay. And now let's
[05:54:44] move towards our assembly. We have taken another sheet. We will name it
[05:54:48] Dashboard. I have named it Dashboard. And we
[05:54:55] will show it in red colors. Beautiful Red. Okay. And what all do we not need in it? We
[05:55:01] don't need anything. I have removed the grid line, formula bar, heading, everything. And
[05:55:06] I also want to remove the ribbon and keep it in full screen mode. Okay. So that we get all these
[05:55:10] ribbons. Okay. We may have to insert a shape. So we
[05:55:15] can use the ribbon that is above again and again. Okay. So that we can insert a shape here. Now
[05:55:20] what we have to do first is to insert a shape inside which we
[05:55:24] will write the title that this is our sales dashboard. For now, we are not putting any icon here. We
[05:55:28] are not putting the logo of anything. Otherwise, the logo comes here.
[05:55:32] So first of all, I will need a shape. So I can go to the shape here, go to insert,
[05:55:36] go to the shape and take a text box. Or else I can take a rectangular box,
[05:55:40] it is on me, so I took a text box and placed it here
[05:55:45] and here we have placed it. And you have to do the placement very carefully
[05:55:51] because you have to take care of all the things. So do the placement
[05:55:57] from here so that its boundaries are visible. Now zoom the screen,
[05:56:04] the work that will be done will be done properly. Now see, it will be a very fine work. So we
[05:56:10] placed it here and we moved it up. See, don't do the entire work with the mouse.
[05:56:16] Use the keyboard. We have done this using the keyboard. We
[05:56:19] can reduce the height a little bit because we
[05:56:22] are going to have a lot of charts. So now we will reduce the height so that we can understand. So
[05:56:27] always remember this. First, make your screen like this and always keep it at 100 and
[05:56:32] work because this is yours. Turn it on. Keep it at 100 here.
[05:56:40] 100 and ok. Then check the placement. What is its placement? Right now its
[05:56:45] placement is like this. Okay, now you can write inside it. What should I write
[05:56:49] Sales Dashboard? So I have written Sales Dashboard. Whatever
[05:56:53] formatting you want to do inside it, you can select it and click on it again and
[05:56:58] you can make it bold here and you can increase its size here and you can make the color
[05:57:04] black. See, we have made the fill color by mistake and it has come and we have
[05:57:10] to make it middle middle so we have made it middle middle and that looks fine
[05:57:15] that looks great for now and if we have to do something with its border then we can
[05:57:21] go to shape format here and if we want to do something else with its border but my entire chart
[05:57:24] is getting formed around black only, so I will keep it as it is. If I want, I
[05:57:29] can just increase its size. Increasing the size would be a better option. We
[05:57:34] will see for once, as things are done, we will keep doing it like that,
[05:57:39] we will not take much load of this thing that why is it like this, why is it like that, I have done 36 that
[05:57:44] looks fine, right now I cannot do anything more than this, if you wanted to put a logo here
[05:57:49] , you could have also put a logo here. We would have applied it and done all the things here,
[05:57:53] if we want to apply a logo, we can also apply a logo. After that we
[05:57:56] will have to bring a slicer because we had discussed that we will
[05:58:00] bring a slicer and timeline here, so you go to your KPI section and choose a slicer which
[05:58:04] is like this, like I have taken this sales channel one which is important,
[05:58:09] so what will you do here, you will copy it, go to your dashboard and paste it here,
[05:58:13] you will click on it here, I click on it,
[05:58:17] click on the slicer, can we go to slide it for a second, can we
[05:58:24] make it side by side, so I will definitely try to see that and let me just
[05:58:30] always show the ribbon for a second, yes, we will do it for once, later
[05:58:35] because we know that now all the things have to be done in this alignment, so
[05:58:38] for once I have made it always show ribbon, we will control s it
[05:58:42] so that auto save gets turned on and after that if we want to change anything in the slicer,
[05:58:46] then we will click on it, click on the slicer a lot. I adjusted the bar
[05:58:50] and saw if the size was not matching. Here also we
[05:58:54] were going to put two slicers, so a timeline will appear in place of those two slicers, so there will be no issue.
[05:58:59] So I will increase it a little more here.
[05:59:06] Okay, we increased it a little more and
[05:59:10] made it a little smaller, yes and here, we will place it equal to this, that is, the one for sales,
[05:59:17] from here we will do one thing, go to the timeline, increase its width,
[05:59:22] a little less by one point, just one more and then we will take it and take it to the right side,
[05:59:29] this is fine, okay and we can keep it one point less,
[05:59:36] so we will keep it one point less, that would look better and we
[05:59:41] will move it a little to the side, it is moving a little too fast
[05:59:46] in the timeline, that is why it is causing a problem, how smoothly the slice is, it has a lot of tantrums,
[05:59:53] okay, we will adjust it, alright, I am
[05:59:57] not satisfied with this adjustment, but still what do we do now, we were going to put two slicers here,
[06:00:01] so instead of those two slicers, now we will bring
[06:00:05] more slicers here, okay, so what will we do, we will go to our KPI and
[06:00:09] we need two slicers which are small, so we have done one for sales,
[06:00:14] after that we will do one more thing, this one for beauty products Let's take it and or the
[06:00:20] important one, let's take the payment mode one, copy it,
[06:00:24] go to dashboard here, paste it, click on it, right click here,
[06:00:28] go to slide and make the column four, okay and we can increase it
[06:00:34] in this way and we can also adjust its height by clicking on it, we
[06:00:38] can go to this speaker and increase its height in this way, it
[06:00:44] is done in such a beautiful and easy way in comparison to if I see, if I
[06:00:49] zoom the screen a little here and move it to the side and
[06:00:54] adjust it here, of course, this is also moving very fast,
[06:01:01] because of our zooming, it is moving in this way,
[06:01:11] we zoom it out a little,
[06:01:16] okay then we do one thing, we keep its movement the same, we keep
[06:01:22] its movement the same, okay,
[06:01:29] just give me a minute, okay, from here we make it always show ribbon, it
[06:01:35] is taking some time because we have to take care of all the things,
[06:01:42] so we do that We are taking care of all the things,
[06:01:50] we are doing control z, so that its placement should be absolutely correct, whatever
[06:01:56] placement it was, yes, this placement has come correct, we
[06:02:02] have to make it 100 and press ok, so you
[06:02:07] can see that this placement is correct for now, if we do it a little to the side, it
[06:02:11] does not go slightly to the side, it gets completely on the side
[06:02:19] and this placement will be done here,
[06:02:32] we will go to the slicer and increase the height, from here that looks better,
[06:02:38] its height should also be 0.85 0.9, so make this also 0.9, okay and if
[06:02:46] you remember these numbers from here, it is better, share format 0.9 correct,
[06:02:52] come down here, perfect, its placement, we
[06:02:57] have to take a little care, rest it is okay, you can change its color, from here you can
[06:03:02] make it dark blue, so dark blue looks fine, okay now if I have to add one more,
[06:03:07] which I will see at 100 whether there is any placement left here or not, there is a lot left,
[06:03:12] so we can do it The screen that we have here is still left, so
[06:03:16] if I want to add a slide like this, I can do it, which comes on its height, so if
[06:03:21] we go to our KPI, let's take another one from here, which
[06:03:26] can be our delivery status, or we have taken the payment code, we
[06:03:32] can take the region or the delivery status, so we have copied the delivery status,
[06:03:36] went to the dashboard, pasted it here, went to the slide,
[06:03:41] made it four columns here, it will not come if it is four columns, so we will make it two columns,
[06:03:48] it will come in this way and you can adjust it, you adjust its height
[06:03:53] and here we go, expand it a little, here its height and
[06:04:00] width has to be kept 0.9, that's correct, reduce its height a little
[06:04:05] and here you adjust it, move it a little to the side
[06:04:11] and zoom, go here, see here, this is fine, if you want to remove its header also,
[06:04:18] then you can remove it, so that you can do it here What can you do? You can do all that easily if
[06:04:24] the header is removed, but then it will not be visible. It will not look good. So one thing you can do is
[06:04:29] change its colour. From here, give it black colour and if you
[06:04:35] want to use a particular colour in it, ok, let me just check if any other colour is available. No, black is looking fine
[06:04:42] and we will keep this colour and we will keep it in this manner.
[06:04:46] Okay, now I will do one thing, I will make it 100 and from here I will press OK,
[06:04:51] so that all the things that are on our screen till now will be displayed in this manner and if
[06:04:56] I take the full screen tab, then it will appear to me in this manner, right now I have enough space
[06:05:00] to display things, I will press Control S once so that it
[06:05:04] gets saved and in this way we have enough space right now to display things, if
[06:05:09] I do this here, then I need to reduce it a little bit and
[06:05:25] yes, okay, so it looks quite good
[06:05:30] for now and this is not agreeing at all, this also looks good, now we will
[06:05:35] add two slicers, all the slices that are left, quickly in this way
[06:05:39] I will go to KPI on the dashboard, from here whatever thing has been done, I will cross it,
[06:05:44] whatever thing has been done, you can take it, what all has been
[06:05:49] done here, delivery status has been done, payment mode has been done, sales channel has been done,
[06:05:54] all these have been done, so I have kept them on the side, so that I have Keeping this in mind,
[06:05:57] let's take the product sub-category, copy it,
[06:06:03] go to the dashboard and paste it here. After pasting, if we
[06:06:07] show it later, it will be better, isn't it, because if we take it in this way
[06:06:12] that we will go to the slicer and show it in this way. Now we have
[06:06:18] the option that we can show it in any form.
[06:06:23] Before this, we show it here,
[06:06:28] brother, before this we go to KPI and copy 1, 2, 3, bring it to the dashboard,
[06:06:37] paste it here. We have pasted all of them here. Now let's do one thing, let's keep
[06:06:41] the product category one here and after that keep the region one here.
[06:06:50] No, let's do one thing in the product category, we
[06:06:55] will keep the product category below, all the categories will come of the product, a little
[06:06:59] further below it, the product category above it, before that look at the region, we
[06:07:04] have to do the placement not only by seeing that our data looks beautiful, we also
[06:07:08] have to do it by seeing that the workers are also the same and after that we will put the city here. We can do
[06:07:13] the city thing and for the city we can do the slicer thing that we
[06:07:17] can adjust the columns in the slicer in this way, that looks better. Now
[06:07:23] do one thing, stretch the region in this way, as much as you want,
[06:07:29] stretch it slightly from here,
[06:07:36] what is its width, work for once, do always show ribbon so that you
[06:07:41] can see it from here and what is its width, check it in the timeline, its width is 4.1, so
[06:07:47] check its width, the width here is four, so make it 4.1, so it comes equal to this,
[06:07:53] we have to make its width also 4.1, so do
[06:07:58] it here, 4.1 is fine and adjust this as well here, okay, here
[06:08:04] you all have come to know its width, it is 4.1, make it 4.1 as well and adjust it here
[06:08:11] equal to these
[06:08:13] , okay, it has been adjusted equal to these, you have also adjusted this one a little,
[06:08:19] its height is also You have to keep the same 4.1. So take this 4.1 and keep it,
[06:08:25] press enter and cross here once and adjust it as well. Now this adjustment, we
[06:08:31] have to see the height here. What is their height? The height of the slicer is 2.33. If I make its height 2.33
[06:08:37] , then how much will it be? 1 second 2.33. So here I
[06:08:45] will have to make the height of these people. Then here, by going to the slicer, I will have to increase its height. Which
[06:08:51] is like this? And we have to like this. Yes, okay, now do one thing. It
[06:08:57] is set to 100. It always shows. Now put it in full screen mode. And now check whether it is coming.
[06:09:01] No, this city is not coming. We will have to reduce its height a little. So
[06:09:05] that all of them come. Right, we will have to adjust its height. So let's
[06:09:10] do a little adjustment. Let's go to the slicer.
[06:09:14] Its height is visible in the slicer. 1.94. Let's make it 1.75.
[06:09:20] Okay, if I increase its height. If I talk about it then we will do it like this,
[06:09:28] we will use the dropdown, in this one also we will have to do 1.75 so which
[06:09:33] is 1.69, make this also 1.75, okay so we have adjusted it here
[06:09:40] and after that we have adjusted it here and after that we have adjusted it
[06:09:46] here
[06:09:52] a little bit upwards, okay
[06:09:56] , a little bit, very slightly,
[06:10:06] okay then you can also move this down a little bit, see if you do fine work then it
[06:10:13] will look good, the only thing is that if you want to do it like this then you can do it like this, see I am able to select all,
[06:10:17] yes I am able to do everything, okay so we have adjusted this
[06:10:22] I have checked it as well. Now cross all of them so that your full data is visible. Now
[06:10:27] you are in full screen mode and in full screen mode, check
[06:10:31] whether it is at 100 or not. If it is at 100 and in full screen mode, is it fully visible? Yes, it is visible
[06:10:36] but there
[06:10:40] is an issue of its height. There is a slight issue of its height. Keep raising it a little bit so that it
[06:10:46] gets attached.
[06:10:51] Well, we can reduce its height a little bit. That's better.
[06:10:58] And that's better. It is visible now but still it is not fully visible. If I
[06:11:05] do full screen mode, even then it is not fully visible. So
[06:11:10] we will have to reduce its height a little bit. Let's do one thing. Let's
[06:11:15] reduce its height a little bit. Yes, that looks better. Okay, now it is fine.
[06:11:22] If we have to do something anywhere, then we will do it this way. There is no problem.
[06:11:26] We have done it this way. Now you do one thing. Start giving color to each one. So
[06:11:30] you go to the slicer and do one thing for once. From here, always show. Do the ribbon, always
[06:11:35] show it, after doing the ribbon, give it a colour, we have to give it a colour, we
[06:11:40] have to give it mustard colour, okay, give it a colour, all the slicers that we have,
[06:11:46] after blue blue, black should have come, so do one thing, give it black,
[06:11:52] here also it is black, okay, after this we will get mustard, so
[06:11:57] give it mustard from here, after this we will get blue, after that we
[06:12:02] have to give blue, this one has to be given and after that if I talk, after blue, our black will come again,
[06:12:07] so we have given it black, so here in the same way
[06:12:12] we have started preparing the dashboard, all our slicers have
[06:12:17] come here, I will show it by making it 100%, did 100%, okay and did all full screen mode,
[06:12:23] so it has come, yes yes, okay, okay, so it is coming
[06:12:29] complete, so till now we have prepared so much, which looks quite good, now
[06:12:34] we will bring our charts here, let's do one thing, first of all we
[06:12:39] will insert a shape. Because it should look like an outline, so I
[06:12:43] have taken a rectangular shape here and I am going to adjust it here. For now,
[06:12:48] I have made it roughly so that I can adjust it. So, for now, I
[06:12:52] will adjust it in this way
[06:13:06] . I have to make its width the same, which means always show the ribbon. Okay,
[06:13:16] yes, this is also fine. And we are here in shape format. Always show the ribbon. And its
[06:13:23] height will have to be adjusted further. Brother, move it from the top.
[06:13:30] And the width, okay. For once, I
[06:13:38] have sectioned it here
[06:13:48] . Okay. Now, if I keep it at 100, 100 and okay, I have done it here.
[06:14:00] So it is coming as much as this. Okay. And if we also make it full screen mode, then it
[06:14:05] will come correctly. It is taking a little time
[06:14:09] to load. There are a lot of things in it. I have to increase its length a little
[06:14:15] and the height so that it becomes equal to this. So you can see that now its height
[06:14:20] has become equal to this. I will take it a little higher now.
[06:14:25] Let us increase its height again.
[06:14:34] What has happened
[06:14:41] ? Thankfully, auto save was on. Thankfully, you can see that it
[06:14:48] had completely turned
[06:14:53] off . That is why I am asking you to
[06:15:01] keep auto save on. Why have we increased the width? Ma'am, yes, it is okay, yes, right
[06:15:08] now it looks fine. It is perfect. Let's see it according to the width as well. And if we see it in any case, it
[06:15:12] looks perfect. I can increase the width a little more here. So, I
[06:15:16] will increase the width a little more. I will have to increase one point. That's it. Now,
[06:15:21] we are going to do all the placements inside this. So, if I
[06:15:25] want to change its color, I can definitely do it. I can keep it black so that everything inside
[06:15:29] remains black. Or if we want to keep it blue or a lighter shade,
[06:15:35] if we want to keep a gradient, then we can keep it like that. I did not need anything like this.
[06:15:39] I wanted to do it in white only. So, it
[06:15:47] is better if we keep it white. Yes, we can keep it with a blue line. We can keep it like this, but we will keep it inside. White
[06:15:54] now do one thing, go to your KPI, go to KPI,
[06:15:59] why has it come here, we will see in the dashboard,
[06:16:02] cross it with any slicer somewhere, now everything is fine, now see
[06:16:08] the data that has come in your KPI, do one thing, first of all bring your tags from there, all the tags that you can see here,
[06:16:13] you have selected it by using the control
[06:16:18] Hold on, all of these will get selected at once. Copy it, go to dashboard
[06:16:23] and paste it here. After pasting, why are you not able to see it? Why are you not able to see
[06:16:27] it? Because the reference has changed. What
[06:16:31] has changed? The reference has changed. I will show you, now always show the ribbon. So here
[06:16:37] when you look, the ribbon is visible, but right now our formula bar is not visible. So
[06:16:42] let us show the full bar for once, what is it showing, a2 A2. But A2
[06:16:47] is of the KPI sheet. So here you have to take this. You have to delete it. You have to go to KPI
[06:16:54] and now you have to take this. So look, A2 of KPI, now enter it. So now this has come for you. Okay,
[06:17:01] similarly, now look, we have to take C2 C2. But we have to take C2 of KPI. So you
[06:17:06] will go to KPI here, take C2, enter it. So this is your value. There
[06:17:11] is nothing. You have changed the sheet here. So that is why it
[06:17:17] is not understanding the formula. So take it here. So this is your value. This is C7. So go there
[06:17:23] and select C7 again. Then you will go to your KPI. That is your C7 and
[06:17:28] this will appear. Okay, you have created this. Now look at one KPI. There is Sum of Total
[06:17:33] Sales. One is Sum of Discount Amount. Then Sum of Net Sales and then Sum of
[06:17:37] Profit. So, I wanted to show here Sum of Net Sales. After that Sum
[06:17:43] of Profit should appear. Let's show two and don't show the rest. So, we will show Sum of Net Sales
[06:17:49] and Sum of Profit. So, in the dashboard, your Sum of Net Sales
[06:17:54] is this. Let me check there. What all is there? Sum of Net Sales. A7 and C7.
[06:18:01] We have to keep this A7. This is C7. We have to delete it. We have to delete it.
[06:18:06] Now, do one thing. You can take another shape as well. Or you have to take it in this shape. Let's
[06:18:11] take another shape. We will insert it. We will take a shape. Here, you have taken a rectangle
[06:18:16] and here, going to the very corner, made a rectangle.
[06:18:20] Keep it aside for once. Place it here. We have to
[06:18:24] place it here. And we will place it according to the height of the timeline. It
[06:18:30] will look better. Keep it aside for once. And
[06:18:34] check the height of the timeline. The height of the timeline is 4.1 1.41. So, make its height
[06:18:40] 1.41 here. See if it is
[06:18:45] 1.41. No, it is not. We had to make it 1.41. Yes, we made it 1.41 here. And the height
[06:18:56] has come out perfect. Now I will align it with it. So,
[06:19:05] this box of ours here, raise it a little. I
[06:19:10] don't know why it is happening like this. Okay, okay.
[06:19:18] We will do Control S.
[06:19:24] Place it. I think it should be increased a little more. It
[06:19:30] should be
[06:19:36] slowly increased. It
[06:19:44] is fine. It is not a problem. Its placement is done. And
[06:19:50] we have placed it as well. We will have to reduce its height a little bit in its placement
[06:19:54] to make it equal to it. And we will try to make it equal to it here a little bit.
[06:20:01] But this happens very quickly. If it is moving, the height
[06:20:08] is coming straight from three to four from this many points.
[06:20:13] Let's make this three 1.35. So look, make it a little less, 1.33. So it's perfect. We
[06:20:23] want to place it inside this and it is going behind it. So we have selected it,
[06:20:28] so if we bring it forward, if we bring it forward, it will come in this way.
[06:20:33] What is it showing you? It is showing the total sales. Double tap on it and write
[06:20:38] total sales here. You have written this. After that, now
[06:20:42] whatever formatting you want to do, now do one thing, select it,
[06:20:47] keep your hand on Control Z. Go to home. After going to home, you
[06:20:52] have to do one thing. You have to bold it. Give it a middle alignment.
[06:20:58] Don't give it the middle alignment, give it the top alignment. And after that, make it a little bold. Yes, and
[06:21:04] it looks fine. Now increase it here. Place it correctly. It
[06:21:09] has been done here. Now do its formatting. You
[06:21:16] can also do it in shape format here. Text. Phil we don't have to do anything,
[06:21:20] we have to fix the alignment, so we will align the middle in the middle, we
[06:21:24] have to make it bold, we have to increase the size, for which we will have to select it,
[06:21:29] just control and now we want the size to increase, we want it this much and we
[06:21:35] want bold, so look now whatever is made, I take it to 100, it is 100 and I press okay
[06:21:42] and at the same time from here I take the full screen mode and I come here
[06:21:47] and in the full screen mode, I repeatedly change it from 100 to that, okay, full.
[06:21:54] In screen mode, in full screen mode, we
[06:21:59] have to remove our formula bar from the view and now if we bring it here, then see, this
[06:22:05] is our dashboard till now, in which the total sale can be seen very beautifully, now I don't
[06:22:09] have to do anything, I have to control shift and just drag it over here, just drag it over here
[06:22:16] and we had to do it with control shift, just drag it over here, okay,
[06:22:22] what do we have to do with this, we have to bring it forward, we
[06:22:26] only needed this selection, only this section, copy
[06:22:36] paste, right now it is aligned with this, okay, I don't need this, now
[06:22:42] see, only this is selected, I am taking it here with the control shift side arrow,
[06:22:47] okay, we have to do that a little to its side,
[06:22:56] bring it here, bring it here and we could have done another way also,
[06:23:03] just give me a minute, I will tell you a short way also, you selected this,
[06:23:07] then selected this, hold both and just drag it over here and
[06:23:13] do one thing, do control Z and here, here your Turn on the full bar.
[06:23:19] On turning on the full bar, click on the Always Show ribbon. Here,
[06:23:26] instead of A7, you can put your C7 directly. This will make your work easier. You put this and
[06:23:33] press Enter. The same formatting that we had to do here is done.
[06:23:37] Take the Format Painter from the Home tab and do it here. Your editing is done. And here, instead of Total Sale,
[06:23:42] write Total Profit. Then the Total Profit will also appear. Now you have to check whether it
[06:23:46] is working. So keep it as 100 and press OK. And after that, bring it here. Once you
[06:23:52] click on East, yes, it is changing. The total profit of electronics
[06:23:55] needs to be changed. If you want to know about tablets, then it is changing. So, you
[06:24:00] cross them. What you have made till now is quite interactive. We
[06:24:05] have made the cards. Now, we will add charts to it. It is giving issues in maintenance.
[06:24:09] Sometimes, it gives. So, we will have to take a little care of the charts. It
[06:24:13] is not necessary that it will work as planned. You
[06:24:17] can select all the charts by holding Control. All the charts that you have
[06:24:22] , there are a lot of charts here. I think, control-c and bring them here. You
[06:24:29] can bring them to your dashboard and paste them here. Okay, a lot of charts
[06:24:34] have come here. They have come in the same direction in which they came there.
[06:24:38] So, we should finish selecting them by clicking outside. Still,
[06:24:43] not all are selected. Okay, look, the outline is already applied. In any case, if you
[06:24:48] did not want the outline, you could have removed the outline.
[06:24:54] Okay, it is already applied. Then it becomes a section. It has to be selected. Control
[06:25:00] -Z, Control-Z, Control-Z. Now, okay
[06:25:05] , we will have to adjust it here. Okay, a column chart
[06:25:12] has come here. There was talk of one column here, but here now we feel that we
[06:25:18] should adjust the column here. One column and the other one which is a bar chart. I
[06:25:24] will now do one thing with all the charts. I will align them towards this direction and bring them here. So that we can see
[06:25:28] easily which chart we have to place and where.
[06:25:35] We can place this one here. Here is one more bar chart.
[06:25:41] Yes, here is it. Now let us see here
[06:25:48] how if I place a column here, I place a column here and we
[06:25:54] can issue this one here. No, this one will not be possible here. So we
[06:25:59] will have to adjust the online or offline one here. And this one too,
[06:26:05] we can adjust this one here. And after that we can adjust this one here. We can adjust this one here.
[06:26:10] But this one will take up the full width here.
[06:26:15] So I should pick this one up and place it here. And we should pick this circle up and place it
[06:26:21] there. We will change the color later. Guys, I should keep this one
[06:26:27] here. No, I should keep this one down.
[06:26:32] Let me make an adjustment for a second. I want to see its placement. What is this?
[06:26:37] I need a little length. So let us do one thing. I will adjust it here.
[06:26:43] We will adjust it here. Let us see the adjustment. We
[06:26:48] will adjust it here. It will look better. And we will adjust it here. And we
[06:26:55] will adjust it here. Okay. And both of these will get adjusted here, this
[06:27:01] one will get adjusted here, so we can bring the adjustment of this one from somewhere to here,
[06:27:07] if this way the adjustment will not fit,
[06:27:13] we should remove its adjustment and take it here, its adjustment should be placed here
[06:27:20] If it is small then this chart should be taken here this chart
[06:27:25] should be brought here yes now the things are settling this should be taken here we
[06:27:33] should show this here we should show this here we will increase its height
[06:27:39] in this manner and this one should be shown here yes you see now I
[06:27:46] am feeling a little better now just look at us I have placed it, when the chart will be made it
[06:27:52] will be in this manner, okay now I just have to adjust it so I
[06:27:56] go to full screen mode and from here I have to make it 100 once more so that it
[06:28:01] stays at 100 so after doing 100 I do ok now I will understand how many things I have messed up
[06:28:07] and how many I have not, so when your chart will be made then such a beautiful chart is being made, trust
[06:28:12] me I am so happy to see that yes it will be made so we definitely took some time but
[06:28:17] when the thing will be made then the thing will be worth seeing, okay so firstly we can see now here
[06:28:24] if we want we can increase its height a little a little a little
[06:28:29] just this much you can see cross it okay see everything You can see that
[06:28:36] things are working, it gives you relief, you know you got it and now
[06:28:43] adjust it completely down, adjust it down, ok,
[06:28:48] hide these pointers here, the height button on the chart so that you get a little more space and here
[06:28:53] because we can adjust the width, we have adjusted the height here, we will control
[06:28:58] Z brother, move away, don't turn on pivot, ok, we have adjusted it here,
[06:29:04] we can adjust its height further, but if we
[06:29:09] adjust its height in this way, like we move it a little to the side,
[06:29:15] ok, we have done it like this, ok and now we
[06:29:19] take it here, go to format, increase its width,
[06:29:25] perfect, right now it looks so perfect to me,
[06:29:30] absolutely perfect, ok, now I have to adjust these upper segments for once,
[06:29:34] the upper segment, this one
[06:29:38] is adjusted, this segment which is this bar chart, I will have to adjust it, so
[06:29:43] for once I will also move it a little to the side, let's adjust it, we will
[06:29:46] move it a little up, but before that we The pie chart will have to be adjusted. There
[06:29:50] is a pie chart above, so let's adjust it. First of all, let's move it a little upwards to the side. What is
[06:29:54] not happening? It won't look good on this side. It's fine. Let's
[06:29:59] do it this way.
[06:30:02] No, if I make it so small, then
[06:30:07] there's no use because it won't be visible. So let's do one thing. Let
[06:30:12] 's turn off the legends. First, we have to turn on the legends, but the legends
[06:30:18] should be on the side. They should be on the right side. Let's do this. Let's take this circle,
[06:30:23] on the side. Yes, and let's increase it a little. OK. And now
[06:30:29] let's adjust it from here.
[06:30:34] No, we zoom in a little more so that we can adjust it further.
[06:30:41] Perfect. We'll have to increase its height a little. So, let's
[06:30:45] increase its height so that the height increases a little. No, it
[06:30:49] 's becoming too much. We'll have to move this circle a little upwards.
[06:30:56] A little upwards, a little towards the side. Oh, it should have been on this side.
[06:31:04] Keep your hand on control-z and we'll place it here. Let's adjust it
[06:31:13] perfectly. Now it looks perfect to me. If you want to change its color then do it
[06:31:18] otherwise don't. Okay, after that if I talk about this chart, here you
[06:31:23] have adjusted it as well and it has been adjusted quite well. If I
[06:31:29] talk about this pie, now this is the pie that needs to be adjusted but remember
[06:31:34] what is happening in this pie, there is a difference in height, so we can broaden it a little.
[06:31:38] Now work to broaden it. If you use its width, then see, this
[06:31:43] will also look easy now and all things will be done easily. What
[06:31:48] can we do because we have to adjust this as well. We also have to adjust the tree map.
[06:31:52] So we will adjust this pie in such a way that our tree map gets adjusted.
[06:31:56] Now if I reduce the width of the tree map, then it can also look like this.
[06:32:00] Which looks great. Which looks great. So we do one thing for it. We
[06:32:05] go to format. We increase its width a little more. We move it a little to the side.
[06:32:10] And that looks great. I can say that And we can increase its height
[06:32:16] because I want its height to be equal to that of the bar, so I have increased
[06:32:21] its height like this. I would also like to increase its height a little bit.
[06:32:27] So much so and I would like to increase its height a little more so I
[06:32:31] will go to format and I will increase its height not more than this but
[06:32:36] one point less. Now this one of mine, this one which is pie, we need it here and
[06:32:45] for that if I decrease its height then I would have space saved here, it
[06:32:49] would not make any difference here, so I will have to pay a little attention to its height
[06:32:54] on the height of this chart, so we will go here and
[06:32:58] increase or decrease its height a little so this is from the bottom so let's do one thing by dragging it and
[06:33:03] do it downwards
[06:33:08] , it will not work like this, okay let's take it like this and the same goes with the,
[06:33:14] what is its height, check its height, its height is 2.8 so check
[06:33:20] its height, what is its height, its height will become 2.97 so make it 2.8 and
[06:33:26] adjust it as well along with this correct its alignment, so you
[06:33:31] have also corrected its alignment from here I have done it perfectly
[06:33:35] . Now, for adjusting it, I
[06:33:40] will tell you a little different adjustment. So that you can adjust it perfectly. First,
[06:33:44] check its height. You can lower it a little bit. And also
[06:33:50] check its height. Its height is 4.63. So, what do you do to its height
[06:33:54] as well ? Make the height of the tree map one 4.63. That is why, you just
[06:33:59] need to keep these few points in mind. This has
[06:34:05] become too much. Yes, no,
[06:34:12] no. Yes, it is perfect now. Do one thing with it. Right click on it. Format plot
[06:34:18] area. And from here, go to fill and do no fill. Do no fill.
[06:34:25] Delete it from here. Right now, it is not getting deleted.
[06:34:33] Do control S. Yes, now, there is nothing in it. There is
[06:34:40] no background inside it. Do one thing with it. Right click on it and
[06:34:45] go back to fill and do no fill. Do no fill. Now, there is nothing in its background.
[06:34:51] Adjust it like this. It's done. Now, take
[06:34:56] it here. And now Do one thing , increase this,
[06:35:01] go to format, increase its width
[06:35:05] , increase its height and try to adjust it here,
[06:35:12] those who try do not lose, we have been trying for so long
[06:35:16] to do this, will we lose, so look, here it
[06:35:24] will show some dramas because brother, you took it in the last, so I
[06:35:28] will show you the dramas and we have adjusted the height a little, took the width like this, no problem,
[06:35:33] do the width
[06:35:39] and we have clicked here,
[06:35:44] ok, it means it troubles us
[06:35:55] a little more, the width should increase one point, just one 4.5,
[06:36:01] that's it, now whatever will be on this side,
[06:36:12] yes, it is still fine,
[06:36:21] its height a little and it should become equal to this, perfect, now if we want, we
[06:36:28] can increase its height as well, we can do this much and we can match the width a little with this
[06:36:37] and if we want, we can increase its height as well, it is perfect, now
[06:36:42] I will do one thing, I will keep it at 100, it is at 100 and Now your
[06:36:49] dashboard is ready on the full screen. Now do one thing. Suppose I want to see
[06:36:55] how our sales have been done in offline, then just click offline and
[06:37:01] in offline it is showing me that if you see region wise here, then I
[06:37:06] have worked in this way in offline. Month wise it is showing here. You can see the offline sales here,
[06:37:11] these things will come in these transit offline ones. All the things
[06:37:16] are showing in that way. Suppose I want to see online, then I
[06:37:20] can see online also. Online has come separately. All the things are there in a different way.
[06:37:25] Suppose I want to see COD in online, then these parameters
[06:37:31] come for COD in online. Along with this, if I want to see how much I have sold in January, then
[06:37:36] January sales have come to you. If I want to see the fee, then I have got the fee. If I want
[06:37:41] to see November to F, then I am seeing it in this way. Your data
[06:37:46] is changing. I want to see March. My values are also changing here. You
[06:37:49] can see here that I have done COD. So only COD is here, I need to see both these things,
[06:37:53] COD and UPI. So see, the entire data is changing from here. So this is how we make
[06:37:58] our dashboard. You can do one thing on this. One thing I would definitely like to do is that
[06:38:06] you can fill a shape here or you can fill it with black. Okay yes, so right now it
[06:38:12] looks quite good to me. I am so happy that it has been made. In this way, if you want, you can do all the
[06:38:17] We can create things. See how easily all the things have been created. It was not easy but
[06:38:22] we did the work and our dashboard is ready. So let us now
[06:38:28] move towards our formulas. This is how we create our dashboard. We
[06:38:31] create an interactive dashboard. A lot of hard work has gone into understanding the data. After that we
[06:38:37] have created KPIs using pivots. Then we have done the visualization. Then we have made adjustments to it.
[06:38:42] Then we have assembled it. Assembling takes very less time when the visualization
[06:38:45] is done first and some planning is done. Some planning has definitely
[06:38:49] helped us. I click on all the keys here that we
[06:38:55] have to see the whole year. So the months will come here. Ok and from here I
[06:39:02] remove all the filters so that it looks complete. So I have removed all the filters.
[06:39:08] So this is how your dashboard is visible. Now let us move
[06:39:12] towards our formulas. So we have created it. Now let us move to the formulas. If I talk about formulas,
[06:39:18] then see, here also I am going to teach V look up. I am going to teach it in many aspects
[06:39:21] , but I Let me tell you that we have covered this in the basics as well, we
[06:39:26] have covered it in part one, we have done it in great detail there and
[06:39:30] I am going to do it here as well, but just because we have made the base strong there,
[06:39:34] we will do it in detail here as well, but if you
[06:39:39] feel it is a bit too much and you understand it less, then you can definitely refer to part one, you can
[06:39:44] get Vlookup done there as well, practice it, it has been explained well there as well,
[06:39:49] but here we will focus on more advanced things. I am considering that
[06:39:53] you might have used VLOOKUP at some point in your life, but I am telling you in detail because
[06:39:57] despite using it, you might have made mistakes, so to avoid any mistakes, let's
[06:40:02] cover VLOKUP well, then see the rest of the formulas. Okay, let's go and
[06:40:07] do the formulas again, so that there are better clarity, okay, now what we
[06:40:14] are going to read first, see, whenever you would have heard, you must have heard of three types of formulas,
[06:40:18] vlookup, HlookOKUP and Xlookup,
[06:40:23] okay and if I If I talk about these three, what do you
[06:40:29] find common in these three? If I ask you what is common in these three,
[06:40:33] what will be common in all three? You will say that lookup is common, and your answer will be absolutely correct that
[06:40:39] yes lookup is common. So what does lookup mean? Go and find it and bring it. Go and search
[06:40:45] and bring it.
[06:40:50] We will go a little slow so that we can understand it better. Go and search and bring it. Now what does it mean?
[06:40:55] Look, whenever we have a record of data, it is not a small
[06:40:59] record. So it is possible that you have data with 1 lakh entries here. How about
[06:41:05] data with 1 lakh entries? Now if your manager
[06:41:11] asks you to make a report in which there are only 100 names and you have to give their details, then you will say that
[06:41:16] you can remove the entries of 100 names from 1 lakh entries by filtering. Yes, you can
[06:41:21] remove them, but will it be easy that you will have to search and enter each name there
[06:41:26] and after that it will appear. Then you will have to copy and paste it. Is that
[06:41:31] an easy process? No, it is very difficult. It is a time consuming process, so in such cases we
[06:41:37] use lookup formulas, lookup formulas, okay,
[06:41:43] this comes under lokup formulas, VLOp, HOK, XLOP, lookup, what does lookup say,
[06:41:48] go search and bring it, that means he tells his fool,
[06:41:53] go into this data of 1 lakh entries and
[06:41:59] bring me the answer of these entries of 100 names, so that is how your lookup formulas work, what does he say, go search
[06:42:06] and bring it, so ma'am tell me one thing, this is LOKUP, that is LOKUP, XLOKUP, so it means
[06:42:12] all three do the same work, yes all three do this work, then what
[06:42:16] is the difference between them, why should I use VLOKUP, why should I not use HOKUP, why should I use XLOUP,
[06:42:21] that means just tell me one, I will use that one when all three do the same work,
[06:42:26] but the thing is that XLOKUP will be available after 2019 It has come,
[06:42:33] okay, this is advanced, so we will talk about it later, for now, let us talk about these two,
[06:42:39] which have been in existence for centuries, I mean, vlookup and HL lookOKUP have been in existence since the time Excel existed,
[06:42:44] so as things grow, advanced things
[06:42:49] come, at that time it was not advanced, so then we were told that if your data
[06:42:56] is in vertical format, in which format, vertical format, what is vertical format, this
[06:43:00] standing standing line, that is vertical and if your data
[06:43:05] If it is in horizontal format, that is a sleeping line. If it is in horizontal format,
[06:43:11] data can be in two ways. Either I
[06:43:18] can write it like this on my page, this is my page. Or I can write it like this. I can go on writing each item here one by one. Or I
[06:43:22] can create a table like this on my page and I can write it like this as well. So when I write like this,
[06:43:26] that is my horizontal. And when I write like this, that is my vertical. Okay, now this
[06:43:32] is my vertical. What can I say within vertical? A B C D E means
[06:43:40] I have a heading within each column. The heading within each column is your
[06:43:47] vertical data. And how will it be here, A B C D. When there is a heading within each row within a row,
[06:43:54] then your data is called horizontal. Okay, now
[06:44:00] tell me one thing. Vertical starts with V and horizontal starts with H. So if your
[06:44:06] data is vertical and you have to bring information from within it. This
[06:44:11] is data with 1 lakh entries. Let's talk about that. I am telling you, if you have vertical data and you
[06:44:16] need to find and bring entries from within it, then you will apply
[06:44:20] VLOOKUP and when your data is horizontal and you need to find and bring entries from within it,
[06:44:26] then you will apply HLOOKUP. Did you understand that LOOKUP works the same,
[06:44:32] but we just have to see the data whether your data
[06:44:38] is in vertical format or horizontal format, when will it be in vertical format when its
[06:44:42] headings are in different columns and when will it be in horizontal format
[06:44:47] when its headings are in different rows, if it is in different columns, that means it
[06:44:52] is vertical data, if you need to find and bring something within vertical data, then you will apply
[06:44:57] VLOOP and if you need to find and bring something within horizontal data, then you will apply
[06:45:02] HLOOKUP. So, by now I hope it is clear to you why we
[06:45:07] apply VLOOKUP and what is its relevance to HLOOKUP Why is VLOOKUP called and
[06:45:13] why is it called HL lookOKUP, it is very important to understand this in detail so that no matter how
[06:45:19] big the data is, whether it is data of 10 lakh entries, your VLOOKUP should not look wrong, then
[06:45:25] only this thing will be understood better, okay, now let us move a little ahead from this,
[06:45:30] this data means this formula is so effective, so good , we will talk about xlookup later,
[06:45:35] VLOP HL lookup has come, right? So XLOP is like butter and trust me
[06:45:39] VLOKUP has come, right? HLOKUP is butter XL lookup is butter, okay so just focus on the VLOOK and
[06:45:46] then HL look up XL lookup will become a walk on the cake like, okay, now we
[06:45:54] are going to read its assumptions, like you did not always study in maths, assume it will happen like this,
[06:46:00] then believe in it, but we will not just make you agree like this, we will make you
[06:46:04] agree by telling you the whole logic, okay, so there is no need to panic, now let me create a data which
[06:46:11] is vertical data, right? I said now that we will We are talking about VLOOKUP,
[06:46:15] so here we create a data, understand carefully,
[06:46:21] the theory part is a little long in this but trust me, trust me when I am saying
[06:46:26] that you will never make a mistake, literally, so look what I do here,
[06:46:33] A B C D E F is written like your headings, okay, inside this I
[06:46:42] write party name, product
[06:46:47] name, category, region, city, amount, okay, I have written this, I got it,
[06:46:54] now what do I have to do, this is your party, Golden Horror,
[06:47:02] Golden Horizon, the name of its business, okay, which I will call GA from now on,
[06:47:08] so here it is written your GH and its information
[06:47:14] will be written in front of GH, so here the amount is 1 lakh, now I tell you and
[06:47:20] how much is the data of this 1 lakh entries, 1 lakh entries, it looks small right now, you
[06:47:25] have 1 lakh entries in it, we assume, there are 1 lakh entries, from this you have
[06:47:31] to take out the amount of GH and bring it, you say this is GA How much amount
[06:47:36] do we have to bring and there can be more like this I have just taken an example for now
[06:47:40] and said, okay we will take it out now first of all
[06:47:46] we will consider Fula as a person we will treat Fula as a person so that it
[06:47:52] becomes easier for us to understand this is your formula this is Mr. formula Mr. formula
[06:47:57] okay now how will we start finding Mr. formula if he has to find something
[06:48:03] I said he has to find the amount of GH so first of all what do I have to tell him
[06:48:08] whose amount do I have to find whose what am I saying what am I telling the formula the
[06:48:13] formula formula listen he has to find the amount of GH so the first thing what did I
[06:48:18] tell him GH so that means the first thing what do you tell him I am writing it here
[06:48:23] I will tell you some things later on. First thing I tell him is, the person
[06:48:28] he wants to search for, the
[06:48:36] person he wants to search for, he has to search for GA here. Okay, so he
[06:48:43] should know about it at the starting point itself. If you say that he has started searching from here,
[06:48:47] you are telling him by coming here, you are telling him
[06:48:51] that he has to search for GA and it turns out that GA is left at the top, that is why
[06:48:55] before starting the formula we have to tell him where GA is written. So in this
[06:49:01] way, he first searches for GA. Yes, this is okay, so he
[06:49:08] will search for GA in the first column, so by default he should find GA in the first column itself
[06:49:14] because we will make him stand there and say, go and check in this line and you will find GA. Then
[06:49:18] tell me the amount of GA, so always in the first column, in the
[06:49:25] first
[06:49:32] column,
[06:49:36] our search, the thing we are searching for, is called lookup value.
[06:49:41] Why is it called lookup value, we will also tell you that there should be lookup value,
[06:49:45] where this thing is. It should come, it should not, it doesn't matter I don't know the logic
[06:49:51] but it should come, then it becomes your assumption, that is your assumption, okay, wherever
[06:49:56] I put a star, then understand that it is your assumption, so one thing is that
[06:50:01] your look up value is always in the first column, here it has got GH, right? Yes, brother,
[06:50:04] GA has been found, now tell me what do you want to search for, so I got GH, so I
[06:50:11] send it the first column, go and see in the first column, I got GA, after that it says now tell
[06:50:15] me where do I have to search for the data, in what areas, then we
[06:50:20] tell him the entire area, see this is the area, this is the entire field, you
[06:50:26] have to search within this, so basically what is your third point, what did you
[06:50:30] tell him, told him the area, meant told the array, brother search within this, so you
[06:50:38] told him everything, then after that he asks, okay, we have to search in this area, then
[06:50:43] tell me in which number column will the amount, the answer go, suppose this
[06:50:50] is the street, these are the streets, suppose these are the streets, don't Suppose you understand that these
[06:50:55] streets are drawn, I will have to draw them once, just
[06:51:02] ignore my drawing, yes, it is quite ridiculous, suppose this is a street, this is street one,
[06:51:07] this is two, this is three, four, this is five, this is six, and I told him this
[06:51:12] is the entire area, Bhaiya, look at it, you will find the answer in this only, he says okay, but also tell me
[06:51:18] in which street number it will be found, so you say okay, fine, I will tell you, you
[06:51:23] will find it in street number six, so now he will go to street number six for you, he
[06:51:27] will go to street number six, so basically you will tell him the answer,
[06:51:34] in which column the answer is, you are telling the column number, basically you
[06:51:39] are telling him the street number, that means column number, you are telling him okay, then your answer will come from this thing, then he
[06:51:45] will be able to tell that it is 1 lakh, first thing you learned is how the answer is found,
[06:51:49] second thing learn this, tell me one thing, whenever you go to search for something, do you search like this,
[06:51:55] did you search in A, then searched in D, then searched in C, then searched in E or
[06:51:59] B I searched, do we go to search like this, otherwise how do we go to search?
[06:52:05] Does anyone ever go to search?
[06:52:09] When any person goes to search for something, in which direction does he go? He goes in this direction. In which direction
[06:52:14] will he go in this direction? Which is your left to right? From where the lookup
[06:52:20] value started, from where he started searching, he goes moving forward from there.
[06:52:24] So this thing is fixed, it cannot go in the reverse direction. This is the rule. If he goes to search from here
[06:52:29] and finds it in this column, then he will give the answer. He will not go ahead but
[06:52:33] will go to this side. So you have understood the direction of this, the movement is
[06:52:38] left to right. Okay, one assumption is that
[06:52:43] it goes only from left to right. Okay, you understood the concept of going left to right. Now understand one thing.
[06:52:50] I will explain another assumption here. If you assume that there
[06:52:55] would have been a GA here as well. There would have been a GH here as well. And I say, bring the data of Golden Origin. Here,
[06:53:01] its amount would have been 5 lakhs. Here, it would have been 10 lakhs. I want it. This answer for 5 lakhs, it
[06:53:06] will start searching from here, it will stop here, it will ask what is the area, then you
[06:53:10] will tell me the area, you will tell me the street, then it will bring 10 lakhs, it stops right there
[06:53:15] where it finds its name, it does not even know that it had to come down, you
[06:53:20] need the last one, that is why they say that if the data is duplicated,
[06:53:25] then we will not be able to apply VLOOKUP, no, the data may be duplicated, the amount should be the same.
[06:53:29] Your lookup value should be unique the lookup value
[06:53:35] should not be duplicate it
[06:53:39] should not be duplicate so if it is duplicate then it will
[06:53:45] not give you the correct answer it will stop at the top it will give you the answer it will give you 10 lakh answer
[06:53:49] but it will stop there and give you the answer for 10 lakh so you understood this
[06:53:54] thing now I will explain you one more thing but first we will apply the formula after that we
[06:54:00] will understand so before applying the formula let's understand the formula once
[06:54:05] look I will apply it here and tell you equals to VLOOKUP tab LOOK value table
[06:54:10] array column index number so let's write it now so here we have written here
[06:54:17] equals to vlookup
[06:54:20] tab lookup value
[06:54:26] table array what is table array we have to tell it the field
[06:54:31] after that column index number why is the column index number coming
[06:54:35] why is the row index number not coming because when I apply that look up then row index The number
[06:54:39] will come because here every heading is there in every column and true
[06:54:44] and false when we apply the formula for true and false then we will see what the lookup value is you know
[06:54:47] this thing which we have to find whom we had to find GA so
[06:54:53] the thing which we have to search that is your lookup value which we have to search
[06:55:00] table array your area your field means you will tell the data in which data we have to search
[06:55:07] it is column index number means you will tell the column with the
[06:55:12] answer in which street the answer is there you will tell the column number with the answer and we will see true and false later
[06:55:19] okay first we will apply the simple one then its assumptions will increase situations
[06:55:24] will get a little more tough accordingly we will keep working on VLOOKUP now let
[06:55:28] 's apply it practically we will apply VLOUP practically here for once we
[06:55:33] will see our data we have name product name region city gender
[06:55:37] amount what did I tell you information of one person or something in a big data
[06:55:42] If you want to extract information then you can extract it. The second thing what are we going to do here
[06:55:47] our name is Golden Horizon Venture, if you want to know what is its product name
[06:55:52] then what will we do equal VLOOKUP tab name error has come, look at VLOOKUP
[06:56:01] tab what am I doing, what am I doing, while we work I don't know what
[06:56:07] happens to our mind, do vlookup tab yes okay now see what is this lokup saying, the value
[06:56:12] which you want to find, which one you want to find Golden Horizon Venture, so
[06:56:16] select this, do comma after that tell the table array area in which you want to search, the area
[06:56:21] will be told completely but we don't take the heading inside it, we have taken this,
[06:56:25] told the complete area comma what is it saying after that count the column index number,
[06:56:30] in which street is the street your answer is the first street is your name the first column
[06:56:35] is your name the second is the product name here you only wanted to know the product name so
[06:56:40] you will write true here comma now look read this one is true one is false
[06:56:45] what is written before true What is written in approximate match false exact match
[06:56:51] everybody memorizes it 0 one or zero has to be written always one
[06:56:56] always don't do it like this it is better to do it after studying it because if you will memorize then some
[06:57:01] situation may come where true has to be used so brother rote learning has done the job you
[06:57:05] will not be able to make the formula by yourself so if you have to make the formula by yourself then do it after studying
[06:57:09] do it with understanding so what does true say approximate match
[06:57:14] what does approximate match mean approximately the answer will come out means how will it come out it may come out it may not come out
[06:57:20] what is in exact match the exact thing which is written there
[06:57:24] in your data the same thing will come out so we obviously need exact so I
[06:57:28] will come to false from down arrow here I will press tab I will turn off parenthesis I will press enter
[06:57:34] so see my answer has come if I change any name from here then see
[06:57:38] it is getting changed from here okay So in this way we apply VLOOP for ourselves,
[06:57:45] I will apply it one more time and tell you, here equal VLOOKUP tab LOOK value comma
[06:57:51] table array select the entire table array comma after that column index number, so region now
[06:57:57] at what number is it, if it is at number three then three comma false tab parenthesis of enter, so in this
[06:58:03] way your answer will come, okay, I understood, now we will move ahead, we
[06:58:09] are going with the assumption, what is our assumption, the first assumption is that the one which we have to search
[06:58:15] is the lookup value, and our lookup
[06:58:18] value should always be in the first column, we are going to move together with this assumption, so let's do VLOOKUP
[06:58:23] We will put it here, I want to find the answer for the category for Harmony Foods, so we
[06:58:27] will put VLOOKUP tab look value here, so you will go to your data and see here
[06:58:32] what is the lookup value, what are you looking for, looking for the name,
[06:58:37] looking for how many foods, when you come here, the first data you get
[06:58:42] is the serial number, so you do one thing, select all this data by serial number,
[06:58:45] then you do a comma, then what do you want to search,
[06:58:50] okay I did not take the lookup value here first, sorry, we will first
[06:58:54] take the lookup value, so that is yours, erase it
[06:59:00] , that is your lookup value comma lookup array, so in the lookup array you know that
[06:59:07] you had to select the data from here to here, so you selected it, comma
[06:59:11] after that the column index number, you want the answer for the category, see at which number the category
[06:59:15] comes, a 1 2 3 4 if it comes at the fourth number, then four
[06:59:22] comma false tab parenthesis of enter, so what is the answer It will not come, why will it not come,
[06:59:28] the assumption was that it should get your lookup value in the first column and
[06:59:34] the first column within the data is of serial number, so it
[06:59:39] must have searched for Harmony Foods in the first column here, will it get it, if it does not get it then it
[06:59:43] will not even get the answer, now what is the solution for this, Ma'am, let me tell you the solution, now
[06:59:49] go back to the LOOKUP tab, lookup value, you took this, comma table array, so you will actually
[06:59:55] go to table array, now select the table array from here,
[07:00:00] you do not need the serial number by name, table array, you have selected by name, comma, so
[07:00:04] your first assumption has been correct that it should get your lookup value within the first column itself,
[07:00:10] so you have sorted that, the second thing is that
[07:00:16] now you have to tell the column index number, so what will be the column index number, will it be 1 2 3 4
[07:00:21] or 1 2 3, tell me it will be 1 2 3, now why did I say three, why did I not say four,
[07:00:27] Ma'am, above four DD There is a category, see there is category above D, so
[07:00:33] why didn't you do four? See, the area that we give it, that is, the array that we
[07:00:38] tell the formula, that is its life for it. It does not matter to it
[07:00:44] what data is outside, what data is first, what data is above, what data is below.
[07:00:49] What matters to it is that it
[07:00:54] will search only in the array that you have given, the area that you have told. So, that is why
[07:01:01] the area that you have given here, from where does it start? It has started from the name, so here it will start counting from the name.
[07:01:06] The column with the name will be one, the product name will be two, the category will be three.
[07:01:12] That is why we have given it the column index number three. After that, what do we want? We
[07:01:16] want false. Tab down, turn off the parenthesis, press enter. Now the answer has come. Has it come?
[07:01:22] Correct, can I drag it now? So, now let's apply VLOOKUP for multiple.
[07:01:28] He had applied it on one, but if we have to apply it on multiple, then how will it be applied?
[07:01:33] Equate to VLOOKUP tab The LOK value comma lookup value will remain the same, if you
[07:01:40] want to search for things according to your name, then you can take it so that you can drag it later and
[07:01:44] it will also change again and again, there is A2, now A3 will come, then A4 will come, so we
[07:01:49] do not need to do anything in it, okay, after that we need a table array
[07:01:54] , so from here we will select the table array, just give me a minute, we
[07:01:59] will select from here by name, now you know the reason why we are choosing from the name column and
[07:02:06] why should we fix it, tell me one thing, right now if you
[07:02:10] are searching for Harmony Foods, then I took this table array, if
[07:02:14] you search for someone else, then also the table array will remain the same, the area will remain the same, you
[07:02:18] have to search in this only, so the thing which is the same for everyone, we will fix it with F4,
[07:02:23] we will do a comma, see, I will suggest this again and again to you, I personally literally want
[07:02:28] you to learn, so in any case, if you do not know cell referencing, no problem
[07:02:33] , complete video Don't look, but go there and check the time stamp, it
[07:02:37] is inside the description, do look at the cell referencing, it doesn't take long, it
[07:02:42] would be of 15-20 minutes, please watch it, right? The concepts will become clear through that, what is the use
[07:02:47] of my teaching, if you do not know it well, then I myself am saying that let's not watch the whole thing, but
[07:02:53] do watch the important things that I am telling you, do watch it, okay, the column index
[07:02:57] number, the column index number is obviously going to be four for you because sorry,
[07:03:01] it is going to be three, 1 2 3, if you want the answer in three, then erase it, write three,
[07:03:06] make the comma false, turn off the parathesis, press Enter and now you drag it, your correct answer
[07:03:12] It will come, okay, your absolutely correct answer will come out for all of them, can we
[07:03:19] drag it here as well, so NA was bound to come, how was it supposed to come, see
[07:03:25] , if I go to search for the product name, then think of the lookup value, the lookup value
[07:03:29] will remain Harmony Foods, think of the table array, the table array will also remain the same, but the column index
[07:03:34] number will not change, if I write the column index number three, it will give the answer of the category only,
[07:03:38] so if I change the column index number, make it four,
[07:03:42] make it five, make it six, make it seven, make it eight, then this will
[07:03:46] happen, now in which form should the column index number be written,
[07:03:50] in number format, the column index number has to be written in number format, you either have to write three or
[07:03:56] write four or write five, when you are writing something in number format and
[07:04:00] drag it, does that number change? No, it doesn't change at all,
[07:04:07] if you have written any number or any text inside the formula, I have explained this also
[07:04:11] in great detail in part one, so please see, there
[07:04:14] are definitely many things related to the formula It is good to check it. So whenever you write a number in the formula and
[07:04:19] drag it, it remains the same. The only changes are the cells.
[07:04:24] So if I make it four here, now I can come here and make it four
[07:04:33] and here it is given according to B2.
[07:04:38] We have to take our lookup value, then my answer will come because
[07:04:43] the lookup value will be A2, it will not be a fraction, so I can take this lookup value and
[07:04:47] after that this is the same story of mine. Now if this lookup value is here in all, then I
[07:04:52] will do one thing to fix it from here, but it is a lot of trouble, we will not
[07:04:56] be able to do it like this, it is a lot of trouble, so I will tell you a way by which you can put such a function that all
[07:05:01] the answers come at once and there is definitely one drawback of this that it
[07:05:08] will not work in every version, in some versions which are new versions like my version in which I
[07:05:13] am working, which is a version 2021, so it will work in that and the one after that, okay,
[07:05:20] you can check in 19 also. If you can then apply it like that,
[07:05:24] take the VLOOKUP tab LOOKUP value, now see in this, A is fixed, A2, A3, A4, A5, A6, but it
[07:05:31] is changing everyday, so if you want to fix it in that way, you can do it, okay comma,
[07:05:36] after that there is a table array, for table array, you go and take the table,
[07:05:40] fix it with F4, comma, after that there is the column index number, and you
[07:05:46] have to give more than one column index number, right category, product name, category
[07:05:52] A, category product name, and you have to give all of these, then you will turn on the curly brackets here,
[07:05:57] write 2, 3, 4, 5, 6, 7, I will write this much, I have not even seen it, I
[07:06:07] have not even read it yet, no problem, after that enter the false tab parenthesis of,
[07:06:13] you will get all the answers, women dress fashion, this is it, it has been kept here and there, but it's
[07:06:18] okay, you are getting the answers, okay, the thing is about getting the answers, you
[07:06:23] are getting them, okay, now if I want to drag it down, I can do that. The answer is yes,
[07:06:27] you can definitely do it. You select it and just drag it down and you
[07:06:33] will get all the replies. Okay, there was no answer in it. So this did not happen. So in this way,
[07:06:38] you can also extract multiple values at once. What you have to do is, but
[07:06:43] whatever your column index number is, all of them should be consecutive. There
[07:06:48] is just a little issue with this. Otherwise, you can write it inside curly brackets. It
[07:06:53] will give you all the answers. Now let's see the next version of Vlookup. Let's
[07:06:59] move to the next version. The area array that we give is
[07:07:05] given in such a way that the one in which the data is present, this comes in the first column. Your lookup
[07:07:12] value comes. But suppose this is not the case, now let's do one thing. I
[07:07:17] will pick up the product name from the product name and bring it here
[07:07:31] . Wait, let's pick up the category and bring
[07:07:36] it. Why is it not coming?
[07:07:42] Okay
[07:07:49] , yes. And let's move it from here. So the category comes first and the name comes later
[07:07:55] and I get the answer. Only the category is required, what will you do in such a case, means your lookup
[07:08:00] value is later and the answer which you have first is coming first, the answer which
[07:08:06] is required is coming first, so what will you do in such a case because of the lookup, the solution
[07:08:10] is that from where the table array starts, it
[07:08:14] should get the lookup value in the first column and if I select the data from here, then the answer
[07:08:19] is my category which is before that and the one which flows will flow like C D E F so this
[07:08:24] whole work will go upside down, so in such a case, how should I apply the formula so that
[07:08:30] The formula should work, right? The data you have is the same. This is the data. I copy it once.
[07:08:36] I do Control A, Control C and come here and do Control V.
[07:08:40] And from here, I delete all the values. Okay, I
[07:08:45] want this answer right here. But my data is different. Now all the things are the same. Only the data has become different.
[07:08:51] Something has gone wrong with the data. Now how do I solve it? Just tell me. So in such a case,
[07:08:56] I am saying that the work is going on in reverse direction here. First, the lookup value
[07:08:59] should be there, then the answer should come. So, in this, it happens that the lookup value cannot come first
[07:09:03] because this result is behind. The answer is behind. So, in such a case, we have to apply another
[07:09:08] formula. So far, whatever we have thought, whatever we have read,
[07:09:14] tell me one thing. When I had to extract multiple values, what did I have to extract? I had to extract multiple values,
[07:09:20] so what did I make dynamic? Dynamic is the one that keeps changing.
[07:09:26] So what did I make dynamic? I made my column index number dynamic. Now I
[07:09:31] am saying that my There is a problem with the data, Bhaiya, in the data, when I have to choose an array,
[07:09:36] how do I choose it? So, if I make the array dynamic, that is, I
[07:09:44] create an array of my choice, then it will work because you can tell me that Ma'am, the way
[07:09:49] you picked up the data and brought it here, pick it up and move it there, then get the answer,
[07:09:53] but this is not a solution, this is just a jugaad, this is just a method,
[07:09:58] not a solution, so let's learn a formula for its solution,
[07:10:03] what is the formula, the formula is if I create a table of my own choice and give it to him,
[07:10:09] from which table my answer can come, then I will get the answer, it is the story of the table,
[07:10:14] it is the story of the data, that the data is not correct, if I create a column with correct data, if I
[07:10:18] create a data, then the matter will be solved, will it be solved or not, you think whether
[07:10:24] the matter will be solved or not,
[07:10:28] tell me, the matter will be solved, right? Why, because if we give him new data, then the matter will be solved,
[07:10:34] now how do we give new data Learn the formula, we will apply the formula here, equals
[07:10:38] to choose, apply the formula, tab the index number, what is the index number,
[07:10:43] tell us the number of columns you need, how many columns you need, how many columns you are creating the data,
[07:10:49] now I need the answer for the category here and I need the name, why do I need the name because
[07:10:54] in the name I will get its look up value, what do I need the category for because category is the answer, then
[07:10:58] why do we need more data, we don't need it, so we will turn on the curly brackets here,
[07:11:02] 1 2, because we need two columns, so we have done two, comma after that, value one,
[07:11:07] what do we need in the first column, we need the name, so we have taken the name, comma second,
[07:11:13] what do we need in the second column, obviously we need the category, it comes and sits behind,
[07:11:18] I have taken it, press enter, then your data gets created, now I
[07:11:24] taught you how to create data, taught you how to create data, now if I do the same thing here in the table array,
[07:11:28] then the work will be done, equals to vOkp tab lookup value, this is taken by f4 in this way
[07:11:35] Fix it so that a becomes fixed comma table array table array so if you want to give it dynamic then
[07:11:41] put choose fulla in its place choose fulla tab you start the index number one which you had just put,
[07:11:47] put the same fulla 1 2 these curly brackets of comma what will come first in value one
[07:11:54] will come your names because your lookup
[07:11:58] will find the value of your names only so this came first and this is going to be same for all yes so comma sorry F4
[07:12:06] comma after that what should come after that in value two your category so you
[07:12:11] took category fixed it also with F4 turned off parenthesis now this
[07:12:16] parenthesis which has been turned off is of choose now tell it the column index number so
[07:12:20] what is the column index number we will tell for the data no now when the table array will be created so first
[07:12:25] in the first column your name will come in the second column your category will come
[07:12:30] what answer you want category so what will your column index number come here two will come comma
[07:12:36] here so from here you Parenthesis of enter so you have got the answer, now you
[07:12:42] can drag it, okay and now tell me one thing, this has come for this, okay now I want all of them,
[07:12:48] so I need the column index number to be dynamic so that the product name also comes, region
[07:12:52] also comes, city also comes, state also comes, gender also comes, so in such a case I
[07:12:57] will have to make my table array bigger and then do that work, and or you can directly
[07:13:02] apply VLOUP here once again, click on tab because the rest of the things
[07:13:06] are correct, so I took the lookup value from f4, fixed it in this way, put a comma,
[07:13:11] table array, table array, you can choose by name, the rest of the things are okay
[07:13:15] If you don't want to use a big formula, you want to use a little jugaad, then use a jugaad,
[07:13:20] fix it with f4, put a comma, normal, like data needs to
[07:13:25] be taken out for the product name, so 2 3 4 5 6, so come here, turn on the curly brackets 2 3 4 5 6
[07:13:37] curly brackets of comma false tab parenthesis of enter, so see, these have come here,
[07:13:45] now you select this and just drag it, answers of all will appear, have they
[07:13:50] come correct, fashion Sari West Vadodara Gujarat Mail, so Sari West Vadodara Gujarat Mail,
[07:13:57] so your answer has come till here, there obviously we
[07:14:02] had taken till further, A which is your column index number, hence the answer has come,
[07:14:07] the correct answer has come here, you can check it here, okay, in this way, when we
[07:14:12] apply VLOOKUP, we can use this VLOOKUP because we have done the reverse work,
[07:14:16] we have taken it in reverse, hence in this VLOOKUP is also known
[07:14:20] as reverse VLOOKUP. Let us move ahead now and let us learn XLOKUP for once
[07:14:26] . After that we will see a little more about VLOOKUP. Okay, so let us
[07:14:32] see XLOKUP. What does xlokup say? Look, HLOP is the same, so
[07:14:37] I am not going to cover it right now because it has been covered in the basics and its usage is very less.
[07:14:41] So let's come to the XLOKUP. What does xlokup say? xlop
[07:14:47] brings your data in exactly the same way, only the option to search in it changes. Like VLOOK and HLOP
[07:14:53] see vertical and horizontal data, this is their alternative. Basically, if you
[07:14:58] don't know how to use VLOOKUP, you don't know how to use HLOP, it's okay. It will work on both.
[07:15:03] It does not matter whether your data is vertical or horizontal, it
[07:15:08] works on both. The second thing is that the data is your x axis and It behaves like the y axis.
[07:15:14] How does it behave like the x axis and it behaves like the y axis
[07:15:20] ? So in such a case, if we work with the plotting system here, then it
[07:15:24] makes no difference whether it goes left or right. The restrictions that we were taking
[07:15:29] in VLOOKUP, there are no such restrictions in our XLOP.
[07:15:34] These were the only two things to learn in XLOKUP. If I
[07:15:38] tell you the syntax of VLOOKUP, then the syntax that you have
[07:15:43] is like this. Tab the lookup value, lookup array and write array. Now
[07:15:48] let us understand its meaning so that we can type the full form. So, from here, I will change the color of the pen for once.
[07:15:53] And here, what are we doing? We take x
[07:16:00] lookOKUP, after that LOKUP
[07:16:05] value, after that we get lookup array. See, inside that, table array was coming.
[07:16:11] Here LOKUP array is coming. Meaning, it has become very specific. The hassle in this
[07:16:15] has reduced a lot, how has it happened, now you will get to know
[07:16:21] that lookup value is the one which needs to be searched, if I talk about GA, then GA
[07:16:26] is your lookup value lookup array, what were you doing earlier, you
[07:16:31] were giving the entire data inside this data to it and asking it to search in it, then after giving the data, we
[07:16:35] had to tell it that the answer is inside this, we had to tell it by counting, we
[07:16:40] had to write a number, it was a number, that's why we were not able to even drag it, so now it is not in this,
[07:16:44] directly give that column there, that column inside which you
[07:16:50] will find your lookup value in which you will find the lookup value, so now tell me one thing, you will find it,
[07:16:56] now tell me one thing, this hassle is also over in this that
[07:17:01] select your table array in such a way that your lookup value is found within the first column itself, now you
[07:17:06] don't even need to think about this because you are directly giving it the lookup array, so
[07:17:09] it does not matter to it whether it is left or right, you are directly
[07:17:12] telling it and the other thing is where you are giving the column index number, now you will get the column index
[07:17:16] Don't even give the number, you have to select that column, the column which has the answer, so I
[07:17:21] have directly told that column as well, brother you can go and find the answer in it, then
[07:17:26] the work is done, it is so easy, now we will try to apply it practically, what in xlop,
[07:17:31] here we will put equals to XLOP tab LOOKUP value, we can fix A2 in it,
[07:17:37] here we will fix it with F4, make a comma, right now I
[07:17:42] am teaching for single value, after that I will teach for multiple values, for lookup array,
[07:17:47] you will obviously go to your data and why is it behaving like this, just give
[07:17:52] me a minute, yes it comes now and what
[07:17:57] will be the lookup array, it will be the name, so you have to take the entire column with the name from here, it is going to be the same for everyone,
[07:18:02] so we have to fix it with F4, comma written inside the array the answer
[07:18:06] You have to take the answer, your category was, you take the answer, see where the category is, now it
[07:18:11] does not matter where the category is, it has taken this and fix it with F4 because
[07:18:15] everyone has to search in the category, press enter and you will get the answer, now just
[07:18:20] drag it, then you have all the answers, okay, you did not have to do anything, but
[07:18:25] the thing here is about the written array, you have chosen the written array for one and you
[07:18:30] will have to choose for all again and again, so should you choose again and again, no, if you want, you can choose here
[07:18:36] in different ways also, that is, you can choose all at once, so let's try it once,
[07:18:41] when we have to choose all at once, then how can we do it, we will again put here
[07:18:45] x lookup tab LOOKUP value, so we have to take this, we have to fix A from f4,
[07:18:52] we will do a comma, lokup array, then you will go to actual data
[07:18:57] and take the column with your name, so you have taken this, you have to fix it with f4 Comma after that you
[07:19:02] need the complete written array in which you need product name, region, city, state,
[07:19:07] gender, so you can make a section till gender, after selecting till the bottom,
[07:19:12] fix it with F4 and press enter, then all your answers will appear here, now you
[07:19:17] just have to drag it, so your answer is coming absolutely correct, you also know that below here
[07:19:21] West Vadodara mail was supposed to come, your answers have come correct, but what if you
[07:19:26] had to do it by category only because category is at the back there, then how would you
[07:19:31] have done it like this, suppose all these things were written continuously, if you
[07:19:37] did not have continuous answers, then how would you have done it, then for that you will have to learn a small trick, let's
[07:19:43] do one thing, we will copy it from here and come here and paste it and from here
[07:19:49] I will remove these formulas of mine, here for the written array we
[07:19:54] will have to do a little work, we will have to use choose formula, so
[07:19:58] what will we do, equation x lookup tab lookup We took this value, fixed a from f4,
[07:20:04] comma after that lookup array. We have to take the lookup array exactly like that.
[07:20:09] At times the sheet fumbles a little, we will have to turn it off and on. It's
[07:20:14] okay. For now, let's go to actual and select the column with name.
[07:20:18] So we took the column with name and pressed ok
[07:20:23] . After that, if you want a lookup array, then it is obvious that you go to the actual sheet which
[07:20:29] is your main data and from here select the column with name and press F4. Because this
[07:20:33] is going to be same for all, that's why we will fix it with F4, we will do a comma.
[07:20:38] What do we need after that, after that we need the written array, but we know that
[07:20:43] inside the written array, we need category, product name, region, city, states, gender. Now,
[07:20:48] because the categories are separate, we cannot take them all together because if we take them all together,
[07:20:54] the name will also come in between, so we cannot take them all together, we cannot take them all at once
[07:20:59] and then You may come across a situation where you
[07:21:03] want to take the state directly after the product name and then the rate. So what will you do in such a case?
[07:21:08] This method will be useful for you, which I am going to teach you now. When you
[07:21:14] had to create a table on your own, what formula did you use? The same happened in vlookup as well,
[07:21:18] that we had an issue, so we needed a combined table, we
[07:21:24] needed separate tables. So whenever we have to create a separate table, we
[07:21:28] use the choose formula. So we will use the same choose formula here. We will tab
[07:21:32] what do we need now? Category one Product name two Region three City four State five
[07:21:39] Gender six Six if we need it, turn on the curly brackets 1 2 3 4 5 6
[07:21:47] Turn off the curly brackets Comma after that Value one What do you want first? You
[07:21:52] want the answer to the category Take the category You want the same for all Yes you want the same for all Fix it with f4
[07:21:56] Comma after that what is the second value Now you have to take the values one by one,
[07:22:01] take the product name, fix it with f4. If someone is thinking that I should take them continuously then he
[07:22:07] is thinking wrong, in that formula we have mentioned six values, so you
[07:22:11] cannot take six values continuously, so you take the values one by one continuously, take the product region,
[07:22:17] after that take city, fix it with f4, comma, after that you
[07:22:23] take state from here and after that fix it with F4, comma, only one thing
[07:22:28] is left that is gender, take that, from here you take gender and fix it with f4,
[07:22:34] turn off parenthesis, press enter, then see your answers will come, all the answers have come,
[07:22:39] despite the fact that your category was not even in the list here, still
[07:22:44] all your answers have come, now you don't have to do anything, you just have to drag, so that's it
[07:22:50] In this way, all your answers will come. So, how easily we have
[07:22:55] extracted all the answers. You get only two things in front of xlook. The first one that comes
[07:23:00] is how to do xlook. The other one that comes is
[07:23:05] how you can extract multiple values. I
[07:23:09] will teach you one more thing. I will copy this and paste it here. And we
[07:23:13] will apply normal xlookup. Okay, let's do one thing. I
[07:23:19] went to actual and changed it now. So, all the data will move. But still we
[07:23:23] will apply XLOKUP. Here, we will apply xlop for single value. We will tab xlok and take
[07:23:28] lookup value. We will fix a. We will do a comma. We will take lookup array. To get lokup array,
[07:23:34] we will take data from here. That is lookup array. We will fix it with f4. We will do a comma.
[07:23:39] After that, we need a write array. Which is category? So, we will also take a write array from here.
[07:23:44] Okay. Write array. We also fixed it with f4 and in the end we
[07:23:50] will write if any such value comes which is not found then what to show so here we
[07:23:54] will write inside double inverted commas not found so now if we have any such value
[07:23:59] which is not in our data then it will be written as not found so for now
[07:24:03] normally we have all the values so it came here suppose I
[07:24:07] write accounts expert here you know there is no data of this name in our data so
[07:24:11] here it will be written as not found so if you want that in any case there
[07:24:17] is any such entry which is not there in your data and you have mentioned it here then instead of that
[07:24:21] write not found or write anything else like this later you
[07:24:26] can filter it out by applying a filter that if it is not there then tell me so in this way you
[07:24:31] can write it in the end inside double inverted commas so it will show this there if
[07:24:35] you want that I show zero here then you can also show zero you
[07:24:39] can show whatever you want to show okay so here But we have completed our
[07:24:43] Excel lookup, let's move ahead, now the question comes, see, you must have always heard
[07:24:48] that we have to apply VLOOKUP between two sheets,
[07:24:55] we have to apply VLOOKUP or Excel between two workbooks, so those of you who have been using it till now,
[07:25:00] I was going to the second sheet to apply the formula, so you should understand
[07:25:05] that with in the sheets, that means in the same workbook the data is somewhere else and the VLOUP is somewhere else,
[07:25:11] you have learnt to apply it from the beginning itself, so you
[07:25:15] should not face any problem in it now because for so long we were doing this only, that actually going to
[07:25:20] Vlookup and applying the formula here, so you have learnt to apply with in the sheets, now we
[07:25:25] will talk with in the workbook, sorry, that means it has to be applied in different workbooks,
[07:25:29] so what things do we keep in mind, in this I will create another workbook in front of you,
[07:25:33] so that you feel that you understand the whole scenario, okay, so now we We were applying VLOOKUP
[07:25:38] , you know, so we have just seen here in XLOKUP, we
[07:25:45] have taken a space here, apply XLOKUP, apply VLOOKUP, apply LOOKUP, it is the same thing, we
[07:25:49] can apply anything, okay, then we will apply XLOP again, it will also be practice
[07:25:54] and this actual full was being done in the actual data, so I go to Home,
[07:25:58] go to Format, go to Move and Copy Sheet, from here I took the actual
[07:26:03] data, created and copied it and from here I created New Book and pressed OK, so now
[07:26:08] the new book has been created, see my data is in this book, you can see my data
[07:26:14] in which the ribbon is also not showing, there is a full screen one in it, so my data
[07:26:20] is here, you can see the book name, the book name is Book One, okay but if
[07:26:25] I talk about the work that I want to show, I have to do it in this sheet, Advanced Excel
[07:26:29] Formula in Excel 2, so now let us apply full, for example, if I
[07:26:33] want to apply XLOKUP, you only So we have to apply the full button and see how it will be applied, right tab,
[07:26:38] take the lookup value, fix the lookup value there with F4, make a comma
[07:26:42] for the lokup array, now I will have to go to another sheet, so I
[07:26:47] will go to another sheet and select it here, so what is the difference in this, the difference in this is that
[07:26:52] the sheet used to come by writing here above, now the name of the workbook comes here, I
[07:26:57] need the written array also from here, so I will take the written array also from here, we will select it and
[07:27:02] fix F, enter, so see, your answer has to come here, okay, your answer
[07:27:07] has come here, auto save has been turned off, we should have done Control S for it
[07:27:15] It doesn't matter now suppose I delete this book here then it
[07:27:21] will be deleted because I haven't saved it yet so let me do one thing I will save it
[07:27:24] anywhere so I have saved it
[07:27:28] okay now I will cross it will my answer go anywhere no it will just
[07:27:32] be written here in place of answer the path will be written now you cannot make any changes in it the rest of your answer
[07:27:39] will remain as it is when you have to make any changes or if you have to make any changes in the formula
[07:27:43] then what you have to do is just turn on the file from where you have taken the data
[07:27:48] otherwise you don't need to do anything else here because I
[07:27:53] had clicked on it that's why otherwise you don't need to do anything so whether there
[07:27:57] are two workbooks or two sheets or anything when we
[07:28:03] apply any formula in this way on different things then it is applied directly in this way if
[07:28:08] you apply it in a different workbook then the name of the workbook will appear if you close the workbook then the name of the path will appear
[07:28:12] Where it is saved, it is fine and there is no difference above this, so now I hope you
[07:28:17] will not have any confusion about how this thing works, so let's go, we are done with
[07:28:22] the VLOOP, we have learnt a lot of things, all the main things for VLOOKUP, we
[07:28:27] have learnt how to make the column index number dynamic, along with
[07:28:32] that, if we have to make the table array dynamic, that is done,
[07:28:36] apart from this, some formulas are also used for this work when we have to do some
[07:28:40] kind of extraction, but here there
[07:28:45] were a lot of restrictions in VLOOK HLOOKUP, we break all those restrictions and move ahead,
[07:28:49] now let's learn further formulas, let's do one more of xlookup, isn't
[07:28:54] it, that is auto updated, how does auto updated work, though this is the basic funda
[07:28:58] which we have been doing since always, but still understand, suppose I
[07:29:03] put VLOP here and give a name here which is not available in it So
[07:29:07] what will you do in such a case in such a case you just have to convert it into a table
[07:29:12] because what is a table, it does not have any range, so it will run directly,
[07:29:15] this is just for information I wanted to tell you, you must try this thing
[07:29:19] in any case if you do not know then please let me know in the comment section I will definitely
[07:29:23] help you because we have done this thing many times and if you do not know the table,
[07:29:28] do not know how to convert it into a table, do not know the basic workings, then
[07:29:32] please check the part one where you will get a lot of help regarding the
[07:29:36] tables and the formula and the ranges and how to form a formula, okay, so you
[07:29:44] will get to learn all that there, let us now move ahead to the most hot topic and
[07:29:49] the most talked about which is what is index plus match, but
[07:29:53] before matching in index plus you need to know about what is index and what is match, so we
[07:29:58] will first learn individually what is index and what is match,
[07:30:02] now first of all we We will apply the index formula, the index formula tells you
[07:30:07] that if we are directly telling it the position, not that you go to that place and
[07:30:12] go to this place and bring me the value that you have written, then the index works like this, so
[07:30:17] basically we tell it the position that we have to go to that place and it tells us the value,
[07:30:22] so if we apply equals to index, we have to give array,
[07:30:26] we have to tell it about our data completely, comma, now suppose we
[07:30:32] have to tell it the row number that in which row we have to find the answer, so here
[07:30:37] we give the row number 10, comma, after that you have to tell it the column number,
[07:30:43] suppose you want to find the amount, then you will give it six here, enter
[07:30:48] it, so it has brought the amount, this is the amount under 10th, which is okay, your 10th row
[07:30:54] will sit like this because your first row is here, your 10th row will sit like this, the 11th
[07:30:58] one, so the amount that will come out will be 1518426, so the same amount that it has He brought it and gave it to me.
[07:31:03] Now you will say that ma'am, the way we had left it, he
[07:31:08] did not count it. No, see what happens inside VLOOP inside VLOOKUP, when
[07:31:12] we count the column index number, we do not consider the data, that
[07:31:16] how much data is there, we consider how much we have given in the table array, and
[07:31:20] in the table array, from wherever we have given the table array, from there only we
[07:31:23] calculate our column index number, so similarly, when you
[07:31:27] are telling your raw number or column number for the index, then exactly from where it has been taken from the table array, that means the entire
[07:31:32] According to the array that you have chosen, you will select it here and
[07:31:36] tell us. Ok, now let us move towards match. The formula is exactly opposite
[07:31:42] of the index. The way we tell the position to the index, it
[07:31:47] brings the value for us. So now how is the opposite of match that we will tell it the value and it
[07:31:53] will bring the position for us. So basically now we take the value of this only, the
[07:31:57] value that we have calculated and apply the match formula here. Match tab lookup value.
[07:32:02] Well, the way to apply it is exactly like x lookup. So
[07:32:07] lookup value is needed in match. Lookup value, which has to be searched. This has to be searched in comma. In
[07:32:11] which lookup array do you have to search. This has to be searched in comma. An exact match is needed.
[07:32:16] Less than is needed. Greater than is needed. Obviously an exact match is needed. Tab it. Turn off the parathesis.
[07:32:19] Enter. So it has told that it is on the ninth number. We had selected the data from here.
[07:32:24] When does the ninth number come from here? Look, see the count below. The number nine
[07:32:28] is completed here. So this Its position is done, so basically what did the index do, we gave the position, we
[07:32:33] gave the value and if I talk about the match, then it gave its value, so it
[07:32:39] told us the position, both are its opposite, now how to use both of them together,
[07:32:44] that if this vlookup, xlookup could not do it, then let's do both of these, let's understand,
[07:32:49] this is ours in which we have to find the index and match, I
[07:32:54] will take the actual data here, okay, now what
[07:32:59] is it, in general how does a vlookup work, in vlookup you give the lookup value, okay,
[07:33:05] after that you take it out from XLOP, okay, we will take it out from xlokup, equals to
[07:33:10] XLOP and how will we find it, we will give the lookup value and give everything, but
[07:33:15] see this work, you also know that the category is here, the product name is here, all the things
[07:33:19] are here and there, so to make this work easy, we can use the index,
[07:33:22] we have to give it the index comma, we have to give it the array, so we have chosen this entire array from here,
[07:33:27] we have chosen the array, comma, after that we have to give it the raw number. Tell me one thing,
[07:33:32] can you give raw number in vertical data? In vertical data, we
[07:33:36] can give column number, we cannot give raw number, so instead of raw number, you can
[07:33:41] always use match formula, you can get confused, so remove this confusion, the thing which you cannot give,
[07:33:46] you have to use match instead, tell me one thing, inside vertical data, there
[07:33:51] is always column index number, inside vertical data only, you use VLOOKUP,
[07:33:54] inside VLOOKUP, column index number comes, so if you can give only column index number,
[07:33:58] so he asked what is raw number, can you give raw number, can you not give,
[07:34:02] so if you cannot give raw number, then use match formula in its place, if you could give raw number here,
[07:34:07] if we had horizontal data, then you could have given raw number, but you
[07:34:11] could not give column number, so in such a case, instead of column number, you should use match formula,
[07:34:16] which you cannot give, instead of that you are taking help of other formula, so you
[07:34:20] will use match formula, what is the lookup value exactly It will look the same,
[07:34:24] what will your lookup value come out, erase it, if it is in the same sheet then erase
[07:34:31] it, you have taken this, which you can fix, but you do not have to fix A to A,
[07:34:35] you have to fix A because you will also drag comma, after that the lookup array is the same,
[07:34:40] you will find it inside the name, fix it, it is going to be the same for all,
[07:34:44] fix it with f4, comma, after that what do you want, you want an exact match, tab,
[07:34:48] turn off parenthesis, so right now the parenthesis that we have turned off is for raw numbers,
[07:34:53] after that do comma, what column number do you want, see, you
[07:34:59] have given the complete data from here to here, so if you want, you can turn on curly brackets, you know
[07:35:04] we turn on curly brackets for max multiple things, so first your two
[07:35:08] column number becomes 2, then 4 5 6 7 8, yes I guess 6 7 8, yes then
[07:35:17] 2 4 5 6 7 8, so 2 4 5 6 7 8 These are the curly brackets of parenthesis
[07:35:28] of enter, so see, it has given all the answers in one go, just drag and you
[07:35:33] will get all the answers but I guess all the answers have not come correct
[07:35:38] because if we look at Classic, then this
[07:35:44] was Vadodara and Gujarat, so we must have made some mistake because
[07:35:50] this correct answer has not come, okay, so let's do one thing, let's take it out for single and
[07:35:54] see, first which is to parenthesis of enter and from here just
[07:36:01] drag it, so here we have made a mistake,
[07:36:06] the index one, this is A2 K31 and after Enter, A3 KK32 came here.
[07:36:13] So we do this twice and take it here again and
[07:36:22] fix it with F4 and then press enter and after that we take this and
[07:36:28] drag it, so look our answer is here, look it was my mistake because I
[07:36:33] did not fix it here, obviously array is the same for all, so we
[07:36:37] should have fixed it, so as soon as we fixed it, it has come, you just have to pay attention to one thing,
[07:36:41] first of all you learn to apply index, what is the index telling, what is the value match telling,
[07:36:47] position, if you do not have a thing, then you have to put a match in its place, if it is vertical data
[07:36:52] then obviously you will not have the row number, put it in its place, if it is horizontal data then
[07:36:57] obviously you do not have the column number, put a match in its place, that situation comes less,
[07:37:01] this situation comes more, so I have explained it to you here, still if you
[07:37:05] have any doubt, please let me know in the comment section, I will tell you to apply it one more time, I
[07:37:09] know that you need to learn one more time, one last time, okay, let's go after this
[07:37:15] People will come to the index tab, what do we have to give for the index,
[07:37:19] we have to give the array, so look from here, I have chosen the entire array from serial number till here, the
[07:37:23] array is going to be the same for everyone, so I have fixed it with F4, comma,
[07:37:27] I do not have the raw number, whatever I do not have, I
[07:37:32] put the match formula in its place, I tab, it asks me for the lookup value, going to index match,
[07:37:37] I have given the lookup value to it, it has been fixed in this way because we
[07:37:40] have to drag, so I have fixed A, I have not fixed 2, we will do a comma,
[07:37:44] lookup array means in which we have to search it, we have to search in the one with the name, we
[07:37:48] selected it, fixed it with f4, did a comma, after that we want an exact match, so we
[07:37:53] took zero, tabbed off the parenthesis, after that we will do a comma, after that
[07:37:58] we have to tell it the column number, to tell the column number, we know that when we
[07:38:03] have to tell multiple column numbers, then how do we tell, we tell inside curly brackets,
[07:38:08] so we will turn on curly brackets and here The table array that we have given to him
[07:38:12] is from the beginning inside the index, so we will count from the beginning itself,
[07:38:16] so what will your column index number come here, sorry column number, 2, 3,
[07:38:20] your name is there, so that will not come, 4, 5, 6, 7, 8, you turn off the curly brackets,
[07:38:29] after that turn off parentheses, press enter, all your answers will appear, then you
[07:38:34] select it and just drag it down and all your answers will appear,
[07:38:40] ok, I have dragged one less, drag it once more, I felt that it has come wrong,
[07:38:44] this Vadodara Gujarat, when it was not shown, but now our answers have come absolutely correct,
[07:38:50] but still if you have any doubt, then I will do the same thing again, I will say that please
[07:38:54] let me know in the comment section, whatever doubts you have, keep writing them together,
[07:38:57] keep telling them in the comments, keep writing because I know this thing that you
[07:39:01] will not be watching this entire video at one go, so all the comments, keep telling them, one by one
[07:39:05] , all your doubts will appear. It will get solved, okay, so let's move ahead now. Here comes
[07:39:10] the filter formula. Filter formula also helps in making search box.
[07:39:13] Now understand for whom it is useful, because if we don't know
[07:39:18] for whom the particular formula is useful, then there is no use, then we
[07:39:22] don't know the situation, then how will we apply it, so see, whenever you have data in which there
[07:39:27] is no duplication, there is no duplication in the lookup value, then you
[07:39:32] can apply VLOKUp, HL, lookup, XLOOKUP, anything, but there are duplicate entries also and you
[07:39:37] have to check all the entries, that means it is a sales sheet and suppose APEX
[07:39:42] has purchased something from you, then APEX has entered it 10 times, then you get all 10 entries,
[07:39:47] in such a case, filter full helps you, this is full, okay, so let's apply full here,
[07:39:52] which is filter tab, after that array array
[07:39:58] is exactly the same in normal way and you don't have to do anything else. The data has to be given here I have selected the array here, it
[07:40:02] 's okay, you don't have to put any effort, you don't have to do anything, everything
[07:40:07] will come here, after that it asks you to include, that means according to whom,
[07:40:12] what is the lookup value in this, it is according to the name, you are searching in the name and
[07:40:15] what should this name be equal to, whatever we write in this cell, then you put equals to and
[07:40:20] search this cell, select this cell, so that whatever I write in this cell,
[07:40:24] the value equal to that will be in it and whenever that name is found, then all
[07:40:29] the entries should come to me, but there is one thing in this also, an assumption, I will tell you about that later.
[07:40:33] I will tell you, first understand it and enter it, then see all the values related to it have appeared,
[07:40:38] now what I do is I put it aside for once and
[07:40:43] choose some other name from here, then its entry appears, Radian Ventures, after that
[07:40:47] I choose Apex, Apex Reality, okay, there are no multiples of any of them,
[07:40:52] see Visionary Heritage, it had three, so all the three entries have appeared, two are of January and
[07:40:57] two are of February, in the same way, if suppose there were some entries of someone else, let me just
[07:41:02] check, there is only one entry of Harmony Foods, there is duplication, right, you found out,
[07:41:09] see Pex Travel, there are three, one is in March, one is in July, one is in October, so in the same way you
[07:41:13] have all the entries, now the problem is that the heading which is here, name, category,
[07:41:18] product name, state, it gives exactly the same answer, which should be the same here as well,
[07:41:23] which you will get, name, month, category, product name, region, city, it will give the answer here in the same way,
[07:41:28] ah, see, category is written here, but it has given the answer of March. It has given
[07:41:33] which is the month, here the product name is written but it has given the answer of the category,
[07:41:37] I have written this intentionally so that you understand this thing, just a while ago you
[07:41:40] will be like this that oh ma'am you have taken the wrong answer, not my answer, this is just to tell you that
[07:41:45] look here I have written cost and price but still it
[07:41:49] is not giving you the answer, why is it not giving the correct heading, whatever you write, it
[07:41:53] does not matter with the heading, it exactly gives you the answer in the same order that you have chosen the table array here, however much and
[07:41:58] in whatever order it is written, because it
[07:42:03] is picking up the entire entry and giving it to you, so in any case where you have duplicate
[07:42:07] entries and you need data in this way, then you can apply filter formula there,
[07:42:11] I hope you have understood, if you have any doubt anywhere, please let me know
[07:42:14] in the comment section, now we move next, that is also quite dynamic, it is
[07:42:20] your alternative to VLOOKUP, but in what way It works, let's see, it comes to you,
[07:42:25] suppose if I change the heading here in this way, then the answer below will also
[07:42:29] change. Now this work cannot be done in VLOOKUP because the column
[07:42:33] is an index number. It cannot be done in xlokup also because the written array is given. So
[07:42:36] in such a case, you dig up the full form, you tab, we call it database.
[07:42:42] When we have a very large number of data, then what do you do in it,
[07:42:47] select the entire data along with the heading. After that, it is going to be the same for all.
[07:42:51] So fix F4 and put a comma. After that, you
[07:42:56] have to take what here. After that, you need the field, what is the field for which you want
[07:43:01] to find the answer. So, I have to find the answer of this field. First, ease it once,
[07:43:05] select it, and then later, for C also, you have to drag it. So one should
[07:43:09] remain the same. So, you can fix only one with F4. Okay, we fixed one,
[07:43:14] put a comma, after that, there is a small drawback in the criteria. The thing is that
[07:43:19] the criteria that work here, you have to take the criteria with the heading inside it
[07:43:24] , that's why if you have to do the same thing with more than one value, then it becomes a little difficult,
[07:43:30] for that we have to use nested formulas, other than that this
[07:43:34] one is full on bingo for formula, so we will fix it from F2 to F4,
[07:43:40] why have I done F2 because that cursor has been entered,
[07:43:45] we will fix it with f4, we will enter, we have the answer, we can drag it, so see,
[07:43:50] as soon as I change from here, this answer will also change, this answer will also change, see
[07:43:55] I did city, I did quantity, I did region from here, I
[07:44:01] did gender from here, you can change here also, so the answer will come in this way, so whenever
[07:44:06] you have to create any information based thing like this,
[07:44:11] then you can do it in this way, this one will be very useful for you, you just
[07:44:16] have to check from here whatever you want for any particular thing, then you You can use the diget formula,
[07:44:21] similarly there is also a dsum which
[07:44:25] works on multiple criteria, but how does it work, like we have sum if, sum ifs,
[07:44:30] we have done this in part one, we have done it very well, so we
[07:44:34] should understand this dsum there itself, but if I change the name, then the total changes, if I change the month, then
[07:44:39] the total changes, so in this way, if it works on multiple things, now there
[07:44:44] will be no data for it, so that is why it is not showing here, so in this way,
[07:44:48] your formula which works on multiple things would be DCM.
[07:44:53] It means that you should not think that the formula has been applied wrongly. This data will be in such a way
[07:44:59] that it is not there in July. It does not matter. We see any other data.
[07:45:04] There are no entries anywhere in December. Let me check, it
[07:45:11] should not be like this. If it is a person's name, then there must be entries somewhere.
[07:45:20] This is a big mistake.
[07:45:29] So look, our data is created in this way. Now let us apply decim.
[07:45:34] Whatever you have learnt there, it is exactly the same. So you apply decim tab here.
[07:45:40] After that, database. Now you have understood what is database. Now we have to take the one in which there
[07:45:44] are duplicate entries and we have to take it with the heading. We have taken it with F4. If you
[07:45:48] want to fix it, then do it, otherwise we are extracting a single value. So we
[07:45:51] do not need to fix it. So we have taken the database here. After that, we
[07:45:55] need a field. What is a field? Whatever we are extracting, what do we need
[07:46:00] here? So we take the field here. This is inside the D gate because here
[07:46:04] we are looking at the heading. But this will not happen here. What
[07:46:08] happens here? We take that field whose total we want to get. So we
[07:46:13] want to get the total of the amount, so we will take the amount here, put a comma and criteria.
[07:46:17] The way of giving criteria is exactly the same, here criteria has to be given with heading, but
[07:46:21] we can give as many criteria as we want. Maam, could we do this with sum
[07:46:26] ? Yes, we could have done it, it was easy. Yes, it was very easy. But this also an advanced
[07:46:30] formula has come with increasing versions, it is available in the new versions. So you
[07:46:34] can check it out. Now you enter it and you will get the answer. Okay,
[07:46:38] you have not done anything. Just the field which we
[07:46:42] want to total this time, for which we want the answer, we wanted the answer of the amount, so we
[07:46:45] entered the amount there and after that our answer came. Criteria. The advantage in this is
[07:46:50] that we have multiple criteria. Maam, could we have used sum if sum ifs instead of this? We
[07:46:54] could have done it, no doubt, we could have done it completely. If that
[07:46:59] Now use that one right away but if suppose the data is very big and there
[07:47:04] are multiple criteria then the formula becomes very long so you
[07:47:10] can write your criteria here somewhere and get the answer directly so you can do this work also the only
[07:47:13] drawback in this is that you have to take criteria with your headings
[07:47:18] and it puts a lot of restrictions so if you
[07:47:22] want to use sums if I talk personally then I use sum if
[07:47:26] I have been doing this for many years so it works better now let's move ahead let's
[07:47:31] see here a all two count f sum if we have already done it in part one
[07:47:36] so I am not doing it here because it is an advanced version so here we
[07:47:41] were going to do advanced formulas we did filter we did d get we did
[07:47:44] index match vlookup we have understood XLOp so well so next we
[07:47:48] will do an if and after that by summing up these formulas here we will move forward which
[07:47:53] is our power query It is going to happen, so let's do our last formula,
[07:47:57] we had made it too advanced, so we had used if in it and the use of if is such that
[07:48:01] no matter how big a task you do, if
[07:48:05] is used somewhere or the other, if you have a single condition, then we use if,
[07:48:09] when you make it plural, you add 's', so ifs are used,
[07:48:13] nothing has to be done, that is the logical test, that is everything, I am considering
[07:48:18] that you know if, but you don't know in any case, please learn it, please learn it, I
[07:48:22] have told you a few things in between that brother, learn something else, go there and
[07:48:26] definitely learn this thing, go there and definitely learn the formation of formulas, cell referencing
[07:48:30] is very important, learn that, learn all the formulas that have been done there and in that
[07:48:34] also if you don't feel like doing all those fools, then just memorize it, I myself say
[07:48:39] not to memorize it, but if then understand it like this. Look, I have to do it, if I do it,
[07:48:44] you will do half the work, whatever your work is, you will do more than half the work,
[07:48:49] if the if comes, if it is good, the text is good, the rest of the advanced formulators are very
[07:48:53] good, so it is very important to do this, okay, let's see what is the situation here, the situation
[07:48:58] is that here there are names of some parties and ratings have been given,
[07:49:01] according to those ratings, you have to write the status here, now what is the rating given, if it is one then write poor,
[07:49:05] if it is two then write below average, if it is third then write average, if it is fourth then write good
[07:49:09] Write fifth as excellent, okay, tell me how can we do this work, tell me
[07:49:15] how can we do this work, let me show you by doing it in two ways, two to three four, I don't know
[07:49:19] in how many ways this work can be done, so first of all let's revise what we have already done,
[07:49:23] it will be fun, see here if I had to do this work, to be honest,
[07:49:28] the first thing that would come to my mind is VLOOKUP, what would I do in vlookup, I
[07:49:32] would take the lookup value, I have to check it, where do I have to check it, table array, so I have to check it in it, okay and
[07:49:37] fix it with F4, comma after that, column index number, what do you want,
[07:49:41] I want the one in the second column, I would put two, I would put a comma and false, I want an exact match,
[07:49:46] I would turn off the parenthesis and press enter, my answer would come, I didn't need to work so hard,
[07:49:52] okay, so you see from here how easily this thing has come out, so you also
[07:49:57] have to do this easily in the same way, now let's move ahead, move towards the next topic,
[07:50:02] which is your power query, where do you get it, if we talk about this power query,
[07:50:08] power What is the query, will we get it, we will talk about it a little bit, just give me a
[07:50:13] minute, here we are not able to find our mouse highlighter, which we have found now, so that
[07:50:17] it will be easy for you to do all the work and we will go to the data tab here and here
[07:50:22] is the data tab, what does get and transform the data do, it helps us that
[07:50:28] one thing is to see what it is saying, understand it carefully because
[07:50:34] this data tab of ours is one of the most important tabs, okay,
[07:50:41] do not take it lightly, if you are learning advanced, then if you take it lightly, then Excel will take you lightly,
[07:50:46] okay, what is get and
[07:50:53] transform doing, one can bring it from anywhere, you can bring data from anywhere, either
[07:51:01] bring it in any file or from any Excel file or from any folder or
[07:51:08] from any particular site or bring it from anywhere, okay and then
[07:51:14] inside it what is the meaning of transform, when you do data cleaning, you
[07:51:20] do that I have to correct the data, so that is the Transformation means that I
[07:51:25] need to transform the data. We will also learn data cleaning later. Okay, so
[07:51:30] the data tab is useful for us there. Now, like I
[07:51:35] have taken a very small example here for example. See, I will tell you one thing, I will
[07:51:39] tell you for your general things also. When you are understanding an easy thing, then work on big data.
[07:51:44] That means even if you take a little big data, it will be fine because if the work is easy, then you will understand.
[07:51:51] The data is also big. Son, you will get confused if you are doing it for the first time. That is why I
[07:51:56] have taken a very small data so that the purpose of the work is understood. We do not
[07:52:02] have to focus on the data right now. We have to focus on understanding the work. We have to understand the core work that is being done.
[07:52:07] Okay, now we will move ahead. I will first show you the data. This
[07:52:12] is my Jain's cell. It is the same. See, in Jain, we have taken 1, 2, 3, three entries. Three entries, just
[07:52:18] three entries. If the work has to be done, then it will be done in three entries as well. Okay
[07:52:22] , what is the usage? Why do we use all this? We will tell you later. I will tell you that Jain Fab
[07:52:28] has 4 56 same, you can see the same serial number, region, product, quantity, unit
[07:52:32] price, sales data, sales date, it is the same here as well, if we go to March,
[07:52:37] it is the same in March as well. Now what will we do, we have three tables,
[07:52:42] if I go to create a pivot, then individual pivots will be created for each of them, can I
[07:52:47] do all the work together by joining them all together, I can't do it, if you suppose
[07:52:52] it will happen in the same way in your real world also, where you work, you must be creating a sheet for April,
[07:52:57] a sheet for May, similarly, you
[07:53:03] must be creating a sheet for June, July, August, September, October, November, now coming in the last, you have to do an overview, you have to complete that,
[07:53:08] so you must be sitting and merging all of them, copying and pasting, so which is a very
[07:53:14] wrong way, if I tell you a way by which all of them
[07:53:19] will be joined automatically, so that now if that becomes one table, then
[07:53:24] you can create a pivot by taking the entire range on one table, the problem is this When it is different then the pivot
[07:53:28] is created on a single range, a single pivot is created on a single range, right a range will have to be given
[07:53:34] for the main data, so in such a case, let us see how we work on it, first of all
[07:53:40] do one thing, convert all these into a table by using Control T, go here,
[07:53:46] convert all your data into a table by using Control T because
[07:53:52] what will happen with this because we will take the table range there, we need the table range
[07:53:57] Now come to your Jain account, after that go to the data tab and see here it
[07:54:03] is Get Data, which means from where can you take the data, there are many options here,
[07:54:06] recent sources, table range from web, text and CSS, from where you
[07:54:11] have to take the file from any other workspace, you have to take it in text and CSV, you have to take it in JSON,
[07:54:15] you have to take it from PDF, you have to take it from the folder, SQL in the database, etc. all these things
[07:54:20] come under it, okay, so this is their work, what we have to do is
[07:54:25] to take from table range, so we have taken it, as soon as you click it
[07:54:30] takes some time, okay, so I am not going to cut anything here, the
[07:54:34] thing which is running will run exactly as it is, okay, you have loaded it, here
[07:54:40] now you need one more thing, we have to add one more
[07:54:49] table, so we will load it close and end, okay, this one table has been loaded, okay, Table
[07:54:57] One, now I have to load another table as well, I am telling you an easy, absolutely initial way
[07:55:01] of doing something, so you will go to the data tab here and take the table range. And
[07:55:07] your second table will appear here, the first table will also be visible. If we
[07:55:13] close and load this as well, then this table two will be created and you
[07:55:18] can do the third one also in this way. I am telling you at a very initial level. We will keep increasing its level further.
[07:55:23] If you are a complete beginner, then you can do it in this way. Your three
[07:55:27] tables have appeared here. Now you can close and load it. Okay, here
[07:55:32] your queries are created. Here your queries and connections are created
[07:55:37] which you can use. What you are seeing here is the
[07:55:43] same queries and connections in the data tab here. If you turn it off, then it
[07:55:48] will go away from here. If you turn it on, then it will appear. Whenever you want to open the power query window that is opening,
[07:55:52] we call it power query, then you click here.
[07:55:57] You click from here, you have opened table one, then your table one
[07:56:03] will open. Now what you have to do is see, you have to join table one with table two and table three. And
[07:56:09] the good thing here is that table one is a table. Two, in table three, the headings of all three,
[07:56:14] serial number, region, product, quantity, unit, price, sales, data, date
[07:56:19] are the same in all three, that is why the column numbers are 1, 2, 3, 4, 5, 6 here also, if
[07:56:26] you look in table one, it will be 1, 2, 3, 4, 5, 6 and if you look in table two, it will be 1, 2, 3, 4, 5, firstly
[07:56:33] the column numbers are the same, the numbers were bound to be the same if the headings are the same, so now we
[07:56:38] can add it, to add anything here, you go to table one,
[07:56:44] you have to add from table one only, it is called append queries, now the option is to do append queries,
[07:56:49] then table two and table three will be joined within table one itself and then you
[07:56:55] can load it, but if you do append as new query, then we
[07:57:00] are telling him to add it but now show it in a separate table,
[07:57:07] let these three tables remain as it is, but show the linked table separately, so we do one thing,
[07:57:11] we append as Let's do append query as new. On clicking this, this window comes up. Now
[07:57:17] what is it saying, you have to do concatenate rows from two tables into a single table after reading it.
[07:57:23] If you are doing power query for the first time, then you have to do it after reading all the things. What will happen by that,
[07:57:28] the work will be done properly. Secondly, what will happen by reading the thing, if you do it once, that thing will be remembered, it
[07:57:33] will not seem like rote learning. It will seem that I know this thing. Okay,
[07:57:38] I am explaining something new, I am taking you from a complete beginner's level. See, what are the other things, it
[07:57:42] happens sometimes, this thing may not be for many people, so I
[07:57:46] will explain everything to you very slowly and in great detail and with small examples,
[07:57:51] so that you understand the mechanism. Okay, concatenate means
[07:57:59] joining two things, so it is saying, concatenate rows from table to tables into a single table.
[07:58:05] If you want to create a single table, yes, this is what we have to do. Yes,
[07:58:10] this is what we have to do. We have two tables, three and more tables, so table one, table
[07:58:15] two, table three. If you want to add three and there are more, then you will click on it that I
[07:58:19] have more than two tables, now what you have to do, available tables, it is possible that there are
[07:58:24] 10 tables available here and you want to add only three or not, so
[07:58:29] in such a case, you will click on whatever is there here, see, first of all I need table one,
[07:58:33] so I added it, table one was already added, so you cross from here, it will be removed,
[07:58:38] add table two, add table three, we added this, there are many tables in available tables
[07:58:45] You can add tables to append that means tell me the table that needs to be added and the
[07:58:51] order in which it needs to be added. I need to add table one to table two and then to table three.
[07:58:55] That's it, click OK. So see, it has been appended. Here you
[07:59:02] can see 1, 2, 3, 4, 5, 6, 7, 8, 9. All these regions have come. All your products have come the same. Now see, from here
[07:59:08] let's do one thing. Right now we will not do any more cleaning in it . Let's load
[07:59:12] it from here itself because right now we are initializing it. Then later we
[07:59:16] will do more cleaning in it. Okay, here we load the close end. What
[07:59:21] is close end load to for, we will learn later. For now we are looking at a basic example. So from here
[07:59:25] we will load the close end. And see, it will be loaded here. Now if I
[07:59:32] want to convert it to normal also, then I
[07:59:35] can do it by going to table design and converting to range. Now it has become normal data. Now whatever you do, it
[07:59:41] does not make any difference. You have to create a pivot table. You can work
[07:59:46] like you create a normal pivot table and can do all the things from here, there is no problem
[07:59:50] , everything will be done as it is, but there is another way in which we directly
[07:59:54] load it in the pivot and do all the things, now as we move forward we
[07:59:59] will increase our level, so now we will see it in the next example
[08:00:03] , suppose you have some data in PDF, I will show you, we
[08:00:09] have a PDF here, we have taken a small data and you
[08:00:14] have to convert this PDF to Excel and you have to take it here inside Power Query,
[08:00:20] so in what way can you take it and do all the work, we are going to understand this,
[08:00:24] first of all we are taking all those things which have maximum usage
[08:00:28] in our daily life, when we work here, then after that we
[08:00:34] can see the deep things, the extra things, if we have time left then because there
[08:00:39] is a lot of time and YouTube has its own policies, now we have downloaded it,
[08:00:44] we will go to the Data tab here, we will go to Get Data from File I don't click on it
[08:00:49] , I just come here, it opens automatically and
[08:00:53] from here you will go to From PDF, we will also see the From folder later, first
[08:00:58] we will go to From PDF, I had downloaded it, so I downloaded it here and
[08:01:02] opened it, I have imported it, it will take some time and you
[08:01:07] will get the same window which comes for Power Query, but it will be a little different because right now
[08:01:12] your data is not here, the data is somewhere else, so here first of all you get a preview of the data,
[08:01:16] what is available in the sheet you have given or the file you have given,
[08:01:21] what is available here, only one page is available, if more pages were available, we would have
[08:01:25] turned on Select Multiple Items, then a box would have come here, as soon as you click on it,
[08:01:29] you will see here in this way that your data is in this way, you
[08:01:36] just have to load it exactly the same, if you want to bring it in your Excel, then you
[08:01:40] can do that or you can go to Transform Data, you
[08:01:44] will go to Transform Data here and now you will see that whatever you have inside Power Query The data came in this manner
[08:01:49] and now first of all you have to split it, so the split we will do
[08:01:55] is by delimiter because there is a bar in everything here, if you see, we
[08:02:00] want to split it by bar, so the by delimiter we will give is once so that
[08:02:06] first of all it gets separated each instance of the delimiter right most instance each instance
[08:02:12] code
[08:02:16] character and we click OK, so now see this, it has separated wherever
[08:02:23] your heading was this sales fab one or that, it has made it null, so here you
[08:02:29] have learned a function by which we can split anything here, like there we
[08:02:35] used to split by text to column, from here we
[08:02:40] get split by column here, after clicking on which you have many options by
[08:02:44] delimiter, so we tell it to itself that you have to separate it by this thing, after that
[08:02:49] by number of characters, by position, lower case, upper case, all these things come, if
[08:02:54] we had to separate it according to any of these, then we would have done it in the other
[08:02:59] The thing I want to tell you is don't focus on this right now, this
[08:03:02] is not my focus point. I wanted to tell you about the split and my main focus area is here, see, whenever
[08:03:07] you load anything, the source comes, what does source mean, see,
[08:03:12] do you know what is inside it, as you keep working, those steps will keep coming here.
[08:03:16] First you must have taken the source, then you must have come here, after that
[08:03:21] you typed the change and did the split by column by delimiter and after that the change type one came,
[08:03:25] if I cross it, then here some changes come or if I
[08:03:30] remove the split by column delimiter, then this will come, so if you want, you
[08:03:35] can go to each step and see how it came initially and you can also remove it,
[08:03:40] now I have come here, I will do this thing again, by delimiter, this
[08:03:46] is already given to me, so I have done it like this, so it came here, if I
[08:03:50] had to see the previous one, then just click on this data, you
[08:03:54] will keep seeing the previous things, the way your data was in the step, you
[08:03:59] will keep seeing it here and the second thing is that whenever you have any data in PDF, then you
[08:04:03] can load it in this way and in the last, you have a very simple
[08:04:07] close and load, we will also do this cleaning work now, now just understand that
[08:04:12] if we have to load something, then we will load it in this way You can do it. Now
[08:04:16] we will learn how to correct it. Now that will come in the process of data cleaning. Now just
[08:04:21] learn initially that if there is some data somewhere and I have to bring it, then how will it come. Now
[08:04:26] after the data comes, how will it be cleaned, how will all the things happen, I
[08:04:31] will teach you that too in detail, but first learn how to bring data from different places.
[08:04:35] Okay, now let's move on to the next thing. Suppose
[08:04:41] you have to bring data from another Excel file, then how will you bring it. After that, we will learn about the folder
[08:04:46] and after that we will learn about the website. It is very important to learn these five things that
[08:04:51] how can we bring data in different ways. After that, I
[08:04:56] will make you do all the options that are in it, which are the main options. Basically, I
[08:05:00] will make you clean the data. We will walk through them step by step inside the power query. So we
[08:05:05] will be able to understand it very easily. If I take one data and start making you do all the things in it,
[08:05:11] then you will suddenly feel overloaded that hey, what is all this going on
[08:05:17] . Now I don't have to do this. Now let's look at the next example, we
[08:05:22] are going to bring an Excel file, so if we keep working on Excel files,
[08:05:25] we will bring any Excel file, then we will go to data, go to get data, go to from file,
[08:05:30] go to from excel workbook and from here we will choose any workbook which
[08:05:35] has data in it, so let's say here we have taken the sales data excel dashboard and
[08:05:39] imported it, then after that all the sheets, all the data in it will
[08:05:44] start appearing to you, like it is telling me that there are three sheets in it, so
[08:05:48] when I clicked on one here, its preview came, when I clicked on the second, its preview
[08:05:52] came and when I clicked on the third, its preview came, I don't need both of them,
[08:05:56] I only need sheet one, so I can bring it in this way, if I
[08:06:00] want to load directly, then I can load directly and here I can also use load to
[08:06:04] or if I want to transform that means I have to make some changes in it,
[08:06:08] then I use transform, get data means to
[08:06:13] bring any data here and then load it, it can also be loaded directly. So this
[08:06:18] data has come to you, you can see it from here, now when you bring it, the source came,
[08:06:23] the navigation came, the promoted headers came, which means whatever was your first heading,
[08:06:29] the first line, there was no separate heading in it, the first data
[08:06:33] was written as it is, so it automatically promoted headers here, which means that it made it a heading,
[08:06:38] if I cross it, see, I crossed it and deleted it, then
[08:06:42] all that data went here, ok sheet one page
[08:06:48] one, our previous query is coming, we will do control z change type so that we
[08:06:54] get the previous data, so this has come, see, the data that we would have received earlier,
[08:06:59] the order ID, customer name would have come down in this way, then after that we
[08:07:03] have to make it a heading, so we had to make it a heading, that's why I mean what we
[08:07:09] have to do is use first row as header because I have to use it as a header, promoted
[08:07:14] headers meant that it took the first row and made it a heading,
[08:07:20] but now we have cancelled that step, so it has brought normal data,
[08:07:24] so now What we will do is click here to say use first row as header. So
[08:07:32] we clicked on it. Suppose I wanted to do the opposite of this, I
[08:07:37] could have used header as first row here as well. So whatever header it is, it will appear as a first row.
[08:07:42] But if you want to use first row as header then you can do it. See here
[08:07:48] I promoted headers twice, once that means I made them headers, so this
[08:07:52] came, then change type came, then demoted, then demoted came, then I promoted,
[08:07:58] then again you will do any work here, no matter how many times you do it, even if it is the same work,
[08:08:03] it will keep appearing here again and again, it will keep getting added in the steps. If you want
[08:08:09] to see something that how your data was appearing on that particular step, then you
[08:08:13] can directly go and see, on this step my particular data
[08:08:17] was appearing in this way, on this step my particular data was appearing in this way, after that I
[08:08:21] will also tell you the meaning of close and load to because I said that as we move forward
[08:08:25] we will explore more options, so now if we want to do it instead of close and
[08:08:30] load, then we can do that, so here you will get a window, it
[08:08:35] is asking you that how can you use the data that you had in power query right now. If you want to load from
[08:08:39] here, then first we will learn get data properly and then we will learn transformation.
[08:08:44] I have already explained one thing about transformation that how to do heading and how
[08:08:48] not to do it. When is it used, I will definitely explain it with an example. But
[08:08:53] understand this first, here you want to bring it as a table
[08:08:57] like a normal table or you want to bring it in the form of a pivot table
[08:09:01] or you want to bring it in the form of a pivot chart or you want to just create a connection, then
[08:09:05] suppose we want to take it in the form of a pivot table report and we add it to the data
[08:09:10] model. By adding it to the data model, OLAP tools etc. get added, but now
[08:09:15] we will not add it in the data model, we will directly click OK. So look here, now the pivot table has come,
[08:09:20] not any data has been loaded, but whatever
[08:09:24] changes we make here, the data comes here with all those changes. The thing is that we
[08:09:29] have not made any changes in it yet. We have just learned how we can bring data from the excel file
[08:09:33] and load it in the pivot table. But if you want If you make any
[08:09:37] changes in it, then those changes will be reflected in this data as well and they have been saved.
[08:09:42] Okay, so all the changes of that date will be visible to you and now your pivot
[08:09:46] will be created with those changes. Okay, so here in our third example we
[08:09:51] learned how we
[08:09:56] can bring data from any other file into our file the most when it will be used the most when you are doing reporting, suppose
[08:10:01] you need all the things in one place, there is a folder in April, that means okay, there
[08:10:07] is not one folder, there is an Excel file in which you have created 3 months of April, May, June, you
[08:10:11] create quarter wise, now in the last you started creating one by one, you
[08:10:15] started creating one that brother I have to create a sheet yearly in which now
[08:10:22] I bring the sheet of every quarter, so will you go and copy paste again and again for the sheet of every quarter,
[08:10:25] January, February, March, then copy paste it, then
[08:10:29] merge both of them to merge all three, there is no need to do so much, you can directly
[08:10:34] bring it like this You can do this work from the from excel file. Let us now
[08:10:39] move towards our next example that suppose I have created a new folder here
[08:10:43] inside which there are three files see a quarter one, quarter two and quarter
[08:10:49] three. You can see this. You can see all the three files. Now I
[08:10:54] will show you all the three files in Excel as well. Which is your quarter one, very small
[08:10:58] entries have been taken. Just to explain the difference to you, quarter two and quarter
[08:11:03] three from here, so let us do one thing, first we delete it, that means cross it out from here.
[08:11:07] After that we come here. And here we have to take another sheet. We
[08:11:13] have to close these power queries and connections. We have to go to the data tab. From here we have to
[08:11:19] go to get data. We will go to from file and we will take the from folder.
[08:11:23] After taking the from folder, we will choose that folder from here. So we
[08:11:28] go to downloads. And after going to downloads, I have taken this sample data and ok it
[08:11:32] is opened. So here, as many sheets, as many workbooks there will be, I have to insert
[08:11:36] this here. It will show in a way where all these names have come, its path has come, everything has come,
[08:11:41] now you have the option that you
[08:11:45] want to directly go to combine and transform from here, that is, combine it but then you have to transform it as well,
[08:11:50] next comes combine it and load it and third comes combine and load to
[08:11:54] load it, now you know the thing why we used to do this
[08:11:59] Use ah load to just because if we don't want
[08:12:03] to convert it into a normal table, if we want to convert it into something else, then we will use the load
[08:12:08] to function, otherwise we don't need to use it. If you
[08:12:12] want to do it from here, you can do it from here as well.
[08:12:15] If you want to do it directly, you can do it. Otherwise, you can do everything from here only.
[08:12:18] If you don't want to combine and want to load directly, then
[08:12:22] use load. If you want to transform directly, then use transform directly.
[08:12:25] But if you want to combine and then load
[08:12:30] or do things, then you can do it this way. Okay, so if you
[08:12:35] do combine and load here, then all of it will be combined and will load automatically.
[08:12:40] I don't need to do anything. There is no need to select anything. I
[08:12:43] told him to combine all the things. So he combined them there. Here
[08:12:48] we have the first file. Second, its preview has come here and
[08:12:54] combine it, okay and it will take some time but it
[08:13:00] will combine here,
[08:13:03] why is it repeatedly showing that
[08:13:10] it has come, we will have to search for our sheet because we have done that on so many sheets,
[08:13:18] just give me a minute, so look here your quarter one, quarter two, quarter three,
[08:13:25] all three have come here, okay, so in this way we combine here,
[08:13:32] let us check one more thing for once, suppose I
[08:13:36] go to these three here and open quarter one,
[08:13:41] after opening quarter one, I add one more here, this is your
[08:13:47] pineapple and we make it 500 and I save it and go there,
[08:13:55] will that data get updated here automatically, so we also
[08:14:01] had to check this, so I right click and after right clicking,
[08:14:05] I refresh from here, so did my data come here, the answer is yes, that data will come here,
[08:14:10] so that is why it is very beneficial, you add here once After that,
[08:14:16] some entries are getting added to the same data because you did not give the range. When you
[08:14:20] give the range, it will not change. If suppose you had done this, you
[08:14:24] would have picked up that particular data, converted it into a table and then you would have combined it, then it would not
[08:14:30] have happened because you have given a range in it, so
[08:14:34] it will work only till the range given, but here you have not given the range, you have given the entire workbook
[08:14:38] to it to join it, so if there are any changes in that data, then
[08:14:43] the same will reflect here. Now I will tell you, inside quarter one, I
[08:14:48] will enter it here by making the apple zero and you will have to save it, so you saved it
[08:14:53] and from here you came here and by right clicking or by going to the query, you
[08:14:59] can refresh it, okay, refresh it, then it will become zero here, so whatever
[08:15:04] changes will come there, all those changes will reflect here as well, which is a very
[08:15:09] good thing, if you have created all the sheets inside one folder, then You
[08:15:14] can create a power query at one place and combine it in this way. Now
[08:15:19] whenever there will be any changes in those sheets, there will be new entries, then all those new entries
[08:15:23] will be made here as well. So what will happen is that the work is going on in those sheets, the work
[08:15:28] will continue in those sheets, but the work will remain here, a main table of yours which
[08:15:33] will keep expanding and here, if you have made some charts or visualization using this table
[08:15:39] and the data in it is increasing, then that
[08:15:42] visualization will also keep increasing because you
[08:15:47] have created the visualization from this only, like when we make a dashboard, if we make any changes, then
[08:15:52] it gets reflected inside it, why not inside the chart also because we
[08:15:55] have created it from that data only, so if suppose my data is getting updated,
[08:16:00] it is necessary to update the data, if the data is updated then everything of yours will get updated automatically because all
[08:16:04] things are made from data only, so you can use it in this way. Here
[08:16:09] we have learned four things that whatever we are doing, look at the get data. Yes, I am trying my best to get it done very
[08:16:14] well for you because if you are giving your time
[08:16:19] then at least it should be such that you are really learning something, so my complete focus was
[08:16:24] that it is called Get and Transform Data, so first learn Get Data, then
[08:16:28] learn the transformation, if you start learning Get and Transform together and
[08:16:33] you get involved in it at the same time that I have done Get Data and then done its transformation as well
[08:16:36] So you will get confused now at least you know the mechanism because you
[08:16:41] have done three to four examples and we have one more example left which is a website so now you
[08:16:46] have become a little confident about this thing that now I can like ah I can load
[08:16:51] the data, I know the meaning of load to, I know the steps there, I know
[08:16:55] how to combine, I know the meaning of append, I have learnt to bring it in the data sheet,
[08:17:01] now we will do the rest of the things later, now let's move on to the next example
[08:17:06] where we will bring the data directly from a website and
[08:17:10] this work is quite good when you have to do some running work which
[08:17:15] keeps changing frequently and you have to see things at the same time and you do not want
[08:17:20] to spend so much time, so you can just use that get data from website so let's see now for that, if we
[08:17:25] have to bring any data from the website, then I
[08:17:31] have chosen a website here, I cannot show it so much, okay, so you can use any website You can take it
[08:17:36] wherever there is any data, wherever there is any table and after that you
[08:17:39] will go to data, go to get data, from file, right here, okay, it
[08:17:44] is not available in from file, okay, you can see here, okay from fb web era, good,
[08:17:50] in every version, in every version, whatever you are seeing here, from web
[08:17:57] table range, text and csv, it may be different, it may be that
[08:18:03] after going to get data, you will see it, it depends version wise, okay, so you will see, you
[08:18:08] will get all the options, do control v, I have copied whatever URL you have here,
[08:18:15] if you want to add something advanced here, you can do that
[08:18:19] , otherwise keep it basic, and press ok, now it will analyze it completely and tell you, okay
[08:18:25] we have connected, and now it will analyze it completely, it will bring data from there,
[08:18:30] but before that, you will have power query open, so that whatever tables
[08:18:34] are there in it, whatever data is there in it, all that is there in it, you will see it all and now you decide what
[08:18:39] you have to load, which data you have to load Which data do you want to do, it definitely
[08:18:45] takes time, I will tell you myself, it takes a little time because it
[08:18:51] is checking the whole website, then the rest of the things get done quickly, it
[08:18:56] takes a little time to get done but it gets done, so let's see a little, it
[08:19:02] is loading here, I told you that it takes a little time but it does the job, okay, it
[08:19:08] will take time, so look here it has told us which tables we have
[08:19:13] to do selected multiple items, so you can check the preview from here, what do you want,
[08:19:17] look, India's population and all the population will be visible, secondly, you
[08:19:22] can see the word population by countries by letter, thirdly, it is visible in segments, fourthly, this is
[08:19:28] the HTML code as well, you can load whatever you want, I
[08:19:33] found this table two to be absolutely correct to load as much as I needed, so I have taken table two for
[08:19:37] table two, okay now it is up to you whether you want to load or load two or you
[08:19:42] want to transform it's all up to you, we have to load it, so we have loaded it.
[08:19:46] Our normal data will come, the way we have been working till now, the same work
[08:19:51] will be done and your data will come here, transformation now we will learn further, we
[08:19:55] will learn all the things together in it, let it load here for once, it
[08:20:00] will take some time and after that this entire data will come here as it is, if there
[08:20:06] are any changes there, those changes will also reflect here, that is why I say that
[08:20:10] for the things which need to be seen live, there is a very good alternative, our power query,
[08:20:16] it can be used, so we will have to wait again, see it
[08:20:20] has not loaded, so I have opened it, I don't know, sometimes it does this, we
[08:20:24] close and load it again, then it comes, I guess, look, it
[08:20:31] is not letting me do some other work, so it means something has gone wrong in it, so let me check, we
[08:20:37] will check here that why is it doing this, we will refresh a little and after that
[08:20:41] close and load it, it is also not letting us do it,
[08:20:47] there is some issue, something has happened with it, something is wrong,
[08:20:53] let's see Hey, what is this little problem in the website, this thing
[08:21:00] becomes big sometimes that your data is not working,
[08:21:06] so let's wait with patience,
[08:21:19] so now if we take the close from here and load it, even then it
[08:21:25] is not loading here,
[08:21:28] the data is very bad brother, load it, what is the problem
[08:21:36] The connection is turned on when we build a relationship, so here we
[08:21:42] have not built any relationship and brother what is the problem
[08:21:47] in closing and loading, why are you not doing it, you
[08:22:03] are showing me here that all the work is done but still it is not working, the last
[08:22:09] refresh is 107
[08:22:15] now it may come, now it is loading, guys there must have been some issue in it, but
[08:22:21] whenever you try it, your data gets loaded in this way, right now it
[08:22:25] is not working in the system, but in any case, if any issue comes anywhere, then
[08:22:30] please let me know in the comment section, I will definitely help you, it will become a very time
[08:22:33] consuming process, if I keep doing this, then we move ahead and
[08:22:37] learn further things, but yes, it gets loaded in this way, show a little trust,
[08:22:41] right, now we move ahead, we have created a table inside which you
[08:22:46] will also be guided step by step and here is your data, so now we have to load this data,
[08:22:51] so we can load this data, do control A, after that do control T.
[08:22:56] After doing Control T, you press OK. After that you go to data, take table range and
[08:23:01] your table will appear here. Now you have to do transformation here. So we
[08:23:07] will start doing transformation step by step. Whatever steps we will do, they will
[08:23:11] keep appearing here. As you know, append queries, merge queries,
[08:23:16] you have seen all these things, append queries. Same happens in merge queries as well, that we
[08:23:20] have to merge a query. But we will see the rest of the things now. First of all, if I see, let us
[08:23:26] start from the very basic here. You can see here, column one, which you can see,
[08:23:30] is a weird data and it was not even needed to be there. So, suppose you
[08:23:36] want to remove any row or column, if you want to remove a column, then you will select it and from here
[08:23:41] you have four options, say remove columns, keep ah rows, remove rows and
[08:23:48] choose columns. From the choose column, you can choose the column from here and whatever you want to do, you can do it. If
[08:23:52] we want to remove something here, we will remove the column. So that whole row will be removed from us.
[08:23:56] The entire column will be removed but there are some values here due to which this
[08:24:00] row has not been removed so I want all these rows to be removed
[08:24:06] so what can I do, I can completely select this row here,
[08:24:13] if I want this row to also be removed then we
[08:24:19] can do remove bottom row and from here what should be the number of rows 27 to 33 which is six
[08:24:24] rows we want to remove six rows here so we clicked ok so
[08:24:29] this one below has been removed 27 has not been removed so this is ok we don't want to remove top row we have
[08:24:35] to remove bottom row only bottom row one and ok but there was one more way like suppose
[08:24:41] here we know that this is empty that's why it is coming like this then if we
[08:24:46] go to remove rows and remove blank rows then it will go automatically directly now
[08:24:50] it's totally up to you what you have to use inside this you get other options also
[08:24:55] remove top rows top If you want to delete something from here then choose the top, if you want to delete something from the bottom
[08:25:00] then you will have to tell him the number, if you say like I did the bottom row then
[08:25:04] you will have to tell him which rows from the middle you want to delete, if
[08:25:10] all the alternate rows get removed except one then you can take alternate rows and remove
[08:25:15] duplicates then the duplicates will get removed like I can see now
[08:25:19] that my data is 26 rows and I want to remove duplicates, so
[08:25:23] look I have 20 rows, my duplicates got removed directly but the basis of
[08:25:27] that was on the basis of ID, if suppose I remove this step and
[08:25:33] do this thing here with gender and come here and do remove duplicates then only two will remain
[08:25:38] because here I kept the basis that according to my male and female if there
[08:25:43] are any duplicates then remove the rest but here I kept the ID so
[08:25:47] all the duplicates in the ID only they will get removed from here And the rest are
[08:25:51] left as it is, so it's totally up to you as to how you have to do it, suppose you
[08:25:55] don't want to do it according to this, you have to do it according to the department, then you
[08:25:58] will select the department and from here you will go to remove duplicates and remove the duplicates from here,
[08:26:03] so on the basis of which you want to do it, you do it on that basis or you don't want it, you can cross it,
[08:26:07] okay, so if you want to remove duplication, you select it and
[08:26:12] from here you removed the duplicates, so here you have used two options, rest
[08:26:16] I understood the options, which is yours, how did you remove the duplication,
[08:26:20] how did you remove the blanks, okay, after that you also saw about the columns, now suppose
[08:26:25] we have already used the split column,
[08:26:30] we have used the first row as orders, after that I
[08:26:34] will also tell you about a replace value, suppose what do you use in your normal excel, you
[08:26:39] use control H and control F, control means find and replace,
[08:26:43] that is, find something and then replace it, so suppose I
[08:26:50] want to replace HR written here with HR, with Human Resource,
[08:26:55] so I will click OK from here, so here I had just selected it,
[08:27:02] so it came, I should have selected it for now, I cross it and
[08:27:07] here I will replace values, now I will do HR here and
[08:27:12] after that we do replace with human resource,
[08:27:18] so o you r c e and we click OK, so look Wherever our HR was written,
[08:27:25] Human Resource was written there. Similarly, suppose if I have data here,
[08:27:30] I do it one more time and tell that suppose USA is written here, then I
[08:27:34] have selected it and I want to write United States there, so
[08:27:37] in replace value, first of all I will select USA and here I will write
[08:27:42] United States and I clicked OK, so see, the change has been done from here,
[08:27:49] so whenever you want to replace anything, you can do it from here,
[08:27:54] the replacement works exactly the same as it
[08:27:58] does in our normal Excel, but what is the benefit here, when you start working there,
[08:28:03] then after that you cannot see step by step what all we have been doing,
[08:28:07] if I want to see the previous data, then I can go here, so this benefit becomes a lot
[08:28:11] and the thing which we do once in power query and load later,
[08:28:14] if it is not from the range, now we have taken the range, then it will not change, if it
[08:28:18] is not from the range, then even later, whatever number of steps The options you have applied keep getting applied,
[08:28:22] so this is of great benefit to us. Ok next we are going to do it. Look,
[08:28:28] we are going to explore only those options that are visible here,
[08:28:31] so that we can understand more. The policy is such that we
[08:28:36] cannot stretch the time for too long. That is why the power query, power on Pivot,
[08:28:42] Desk, all those things should be done later because it is very important for me to get AI done in it. Here also,
[08:28:47] the way you see it, all the tabs that come in your Excel,
[08:28:54] in the same way, here also there are tabs in the same way. You click on transform,
[08:28:58] got it, click on transform, here you will get many options
[08:29:03] like look here, use here, first wise we have done
[08:29:08] transpose. Transpose means that you
[08:29:12] can make your data horizontal, which is vertical data. So you clicked on transpose here. Are you
[08:29:15] sure that we want to do this? Yes, so look, my entire data has been transposed by it.
[08:29:20] It has been given, which is weird, isn't it, but it has done it, I don't want this thing,
[08:29:25] so I deleted it, so this transpose has been removed,
[08:29:29] so if you want to transpose your data, then you can transpose,
[08:29:33] there is a good thing in it that whatever I am reading, I
[08:29:37] can bring it back, if I don't want that thing, then reverse rose, if you
[08:29:42] want to reverse the rose, then you can also reverse the rose, now see, employee ID 19 is above
[08:29:48] and zero has come below, if you want to show your data above, then you go up and if you want
[08:29:53] to show it from below, it goes below, if you want to reverse it again, then reverse it again,
[08:29:57] here you will start seeing two steps, okay, so in this way you
[08:30:01] can also reverse your rose, after that, if you want to count the count rose, you
[08:30:06] can see all two here, but still if you want to count, then it will give you a count number,
[08:30:10] which is 20 and if you don't want it, then you can cross it, okay, here
[08:30:15] you have seen three more options, after that we move further. The data type is text,
[08:30:20] any of us like you had read about number format in Excel, whatever you had read about in Excel, the
[08:30:24] same is there here, so you will not face much difficulty, it is just the name that becomes one,
[08:30:28] we are doing power query, we are transforming, it is the same thing,
[08:30:32] here in doing this we can see all the steps, this is the only advantage, so like
[08:30:35] It was done there, decimal currency, whole number, percentage, date, time, all the things
[08:30:40] are the same, so for this we will not go here, if we go here then it will take time and it will also take time to rename,
[08:30:44] so we will not use it, we will double tap here,
[08:30:48] suppose I want to write the employee ID here, then I
[08:30:52] will write the employee ID here, okay, secondly this employee ID
[08:30:56] should come in a number format because this is a text, so if I want to format the number here,
[08:31:00] then look in this corner, all the formats are written in this way,
[08:31:04] okay, so you can change it, you can click on it here and
[08:31:09] from here you can give it whatever format you want, you can give it whatever format you want, if you
[08:31:14] want to show the text of the employee ID, then you
[08:31:18] can show the text, if you want to show the number, you can show the whole number, whatever you want to
[08:31:23] show, so now it has turned red, it is saying there is an error, if you show the number to it,
[08:31:28] then there is an error, so what can you do, cross it from here You can do it, it
[08:31:32] should be shown in this only, only then this blue line which is visible above, apply blue or
[08:31:38] green, this line which is visible is telling you that there
[08:31:42] are not so many errors in it, if suppose you change this in currency, then
[08:31:46] this error is showing complete error, that means all are wrong, what are they, all are wrong,
[08:31:52] I will cross it from here, so in this way, if you want to change the format
[08:31:56] in any case, then you can change it from here, like if you want to change something in the time here,
[08:32:01] date time time zone is written inside it, if you want only date, then you
[08:32:06] chose only date, now only date is coming, if I remove it, then here
[08:32:09] time was coming in date plus, I don't want time, I want only date, so you use date
[08:32:13] and it has come, if suppose here salary is in point, you
[08:32:18] don't want salary in point, you click on this, you want whole number and not decimal, then
[08:32:22] your whole number salary has come, we will text for city and we will text for
[08:32:27] country here. But the bonus is that here I need the whole number, so
[08:32:31] take the whole number, the rating is also in the rating, if you want something in percentage,
[08:32:36] working hours, active, anything, you can change its format from here,
[08:32:41] you do not need to achieve so much, go to the option there and then do this work, so you
[08:32:46] can do that thing directly from here, I
[08:32:50] had told you about replace value in the initial as well, I had also told you on home that you can use it here as well,
[08:32:54] you get the same thing here also, replace value and replace error, if suppose some
[08:32:59] kind of error is coming and you want to do it, then you can replace that error as well, if you
[08:33:03] want to replace any value, then
[08:33:06] the option of value was coming to you directly there, if you want to do the error, then you can come here and do the fill
[08:33:11] option, just like look here, I tell you that here some values
[08:33:19] are empty, so you want to fill here, you want to do it down and
[08:33:23] what does updown mean that it will be filled downwards and then it will go upwards. You will see the data below
[08:33:28] will be filled upwards. Look here, here it is two and two only. Here it
[08:33:32] is five and four. So notice this. If I fill down, then five appears here. Then
[08:33:37] the same data appears below it which is written above it. If I remove it and I
[08:33:42] fill up here, then four will be written here. It will be filled on the upper side. So
[08:33:47] it is totally up to you that how do you want to fill, whether you want to fill on the upper side or
[08:33:51] on the lower side, you can fill in that way. Pivot column means if you
[08:33:56] want to make a pivot according to any two columns or anyone, then
[08:34:01] you can make it in this way. Ok, I did not even select the pivoted column here.
[08:34:07] And pivot column, we
[08:34:12] did this. Select where the cell values ​​form new column. So a new column will be
[08:34:17] formed in this way
[08:34:30] . After that we will do it. Look, we will do pivot column and unpivot later. That means let us
[08:34:35] stop these for now. Let us first explore our main options.
[08:34:39] After that, suppose you want to select employee ID. If you want to move it somewhere on the side, then you
[08:34:43] can move it directly to the right side, you say no, I
[08:34:46] want it in the beginning, so in the beginning, if I want the department in the beginning, then the department
[08:34:50] in the beginning, but no, I don't want it in the beginning, I want it here at the end,
[08:34:54] so it has come to the end, suppose I keep moving it to the left here, then you can move it to the left
[08:35:00] You can move it here, it will be set where you want to set it, you
[08:35:05] can move it directly, in this way,
[08:35:09] instead of the way we move all the columns here and there, you can use it here,
[08:35:13] convert to list, if you want, you can convert it completely, it
[08:35:18] has been converted to a list, but we don't want it, so we cross it out, okay,
[08:35:22] after that you can use it as first order and place value, okay, we
[08:35:27] have come here, okay, split column, if you want to split any column, if you want
[08:35:32] to split any column, let's do one thing, let's take date and time here, okay
[08:35:36] and now if we think of splitting this column, if we want to do a split column, then how,
[08:35:40] okay, we had done this thing earlier also, so we had seen it in that, so
[08:35:46] we will skip this one for once, because
[08:35:51] we have already done this thing with split column, where I
[08:35:55] told you everything from text, so I will convert it to date only,
[08:36:00] okay, after that, you can format anything lower If you want to do it in upper case, then
[08:36:04] you want to do it in upper case, suppose this is a department and you want to do all the things in upper case, then
[08:36:08] all your things came in upper case, but no, I want to do everything in lower case, so
[08:36:12] this whole thing came in lower case, then you say no, I want to capitalize each word, so the first word
[08:36:16] should be capitalized and after that it should be like that, now when you do the same thing
[08:36:22] cleaning in excel, what do you use, you use proper lower and proper lower and upper
[08:36:27] to do the same thing, but here you get this thing directly,
[08:36:31] so you do not need to do so much, you just have to select your data
[08:36:35] and after that all this work
[08:36:38] will be done directly, after that you leave it for once,
[08:36:42] in statistics, if you want to sum something or do anything, like you
[08:36:46] went here and after that in statistics, if you want to sum, then
[08:36:50] the calculated sum came here, if you want to see the sum of anything, if you want to see the value of anything,
[08:36:55] then you can directly go here and that particular thing. You can see the calculation
[08:37:00] , it will show you the calculation, after that you get the date, so if you want
[08:37:05] to find out the age of any two dates and you want to find out their age or if you
[08:37:11] want date only or year only or month or quarter or quarter of the year, then it
[08:37:17] will transform that thing in that way and give it to you, what will it do by transforming it, like
[08:37:21] 18th Jan and here I changed it to quarter, quarter of
[08:37:25] the year, so 18th Jan is a is in the first quarter, so it gave the first quarter,
[08:37:29] if you suppose I do the same thing for the year, that I want to know the year,
[08:37:34] one second I have made the selection there, I want to know the year, I want
[08:37:39] to know the start of the year, so first Jan, first Jan, first Jan of everyone has come but the year
[08:37:43] has come, okay, what type of date do you want, it's totally up to you, if I
[08:37:48] want to know the week, week of the year, then which week is it in, so the number of that week has come, that
[08:37:53] particular date is falling in which week, I told it, I
[08:37:57] want to find out the earliest, so the earliest is ours It is 25th June. It can give you the answer in this way.
[08:38:01] Okay, you have to practice all the options one by one by yourself. Only then you
[08:38:07] will be able to do it better. Same goes with the time. If you have to do it with time, then for time
[08:38:12] also you have the same options. There is not much difference. Okay,
[08:38:17] now let's move to the next
[08:38:22] one. We
[08:38:28] have to activate any column. So that we can see it here and keep working. You
[08:38:33] can work on it. We have cancelled it. We don't need a custom column. If
[08:38:38] we need any custom column, if we want to create that column ourselves and
[08:38:43] want to put a formula in it, then you can customize it here.
[08:38:48] Whenever we advance, we will do more work on these things. But for now, I
[08:38:53] want to show the errors here. It is more important to do how many errors are there in my data.
[08:38:57] So we will talk about all the things here like full bar has become
[08:39:02] monospaced. We don't need the quality of the column. After turning on the column quality,
[08:39:07] we get to know how much error is there. If I look here, it is
[08:39:11] not showing any error in anything. It is not showing anything empty. If we had seen this thing before. If I
[08:39:16] had seen it here, then look here, there is nothing here, but where it was empty.
[08:39:22] If there is some problem somewhere, it will definitely show it like
[08:39:27] here in rating, we had filled it later, it was empty here, so
[08:39:32] it showed an error here. So you can turn on column quality from here,
[08:39:36] if you turn on column distribution, it will show you from here that 20 are distinct,
[08:39:41] 14 are unique, see, 20 different ones have been given, out of which 14 are unique, so there
[08:39:46] is six duplication, same goes with this and here it is not getting any data, two
[08:39:51] are distinct, it means only two are distinct, only two are different and nothing
[08:39:57] is unique separately, six values are distinct, 20 values are distinct. If you
[08:40:02] want to know its further distribution, that what type of data is given in you,
[08:40:06] then you can know from here, after that, column profile, what all things are there in a particular column,
[08:40:11] like when you
[08:40:15] do workbook statistics in Excel by going to review tab, then exactly like that Here also you can know its statistics, I
[08:40:19] turn it off, Go to column, Go to column is just like that if you
[08:40:24] want to go to a particular column like join date and press ok, then you
[08:40:28] will reach that column directly, just like when you use go to special, it
[08:40:31] is exactly like that, I turn off the quality for once from here, sorry turn on the quality,
[08:40:35] turn off the column distribution, okay, make parameters always allow, that
[08:40:40] whatever number of parameters you want to see, on whichever parameters you want to see it, you
[08:40:45] can turn it on, after that comes the advanced editor, which we will do later, in query
[08:40:49] dependency, when you have two different tables, then when you
[08:40:53] merge them with a relationship, that is your dependency, okay, so this thing has come here, now suppose
[08:40:58] I have to replace this 26 in it, because I am seeing here
[08:41:02] that all the A texts are there, I have to select it and remove the error from it,
[08:41:07] if I talk about it, then it is saying It is 100% valid but I don't know why it took it here
[08:41:12] because here there is A B C and 1 2 3. If I just
[08:41:17] make a number here, make it a whole number and insert it in this way, then now it is showing me an error.
[08:41:22] Now it is telling me that there is an error here because the number format there was
[08:41:26] this. Now if I want to remove those errors or if I
[08:41:30] want to fill in place of errors, then I will go to transform and fill down and insert it.
[08:41:35] So it will not work here now. I need the value errors. So basically what I
[08:41:41] did here was that we do not count, we have to detect here,
[08:41:49] we have to replace, replace errors, we have to replace the error and write the value
[08:41:55] 26 and press OK. So all the values here where there was a mistake,
[08:42:00] all those values have changed. That value has come in place of that error and now you
[08:42:05] You can see there is no change here and I have also corrected its format
[08:42:09] in the same way you can check the rest of the formats, you
[08:42:13] will get a lot of help from the format, well here also we had to change the format, we
[08:42:17] had done the whole number earlier also but it's okay, that must have been removed by me and in bonus also we
[08:42:21] need the whole number here, we took the whole number and here we
[08:42:28] had filled our null values, then it did not happen, well
[08:42:33] we should have done things here by coming here, we are doing things there only, okay
[08:42:38] we have done all these things, now we have almost
[08:42:42] understood the power query as well as we had to understand, we have got the basic understanding of power query,
[08:42:47] we will definitely see more ways of this in part three, but
[08:42:51] how the transformation is done, how we do all the things,
[08:42:54] we have come to know, now what do we do, we will go to our file and from here we
[08:42:59] will load the close end or we can also do close in load to, if you want to do it in Pivot,
[08:43:03] you have to load the close in here, then this will be loaded It will go and now you will see that
[08:43:07] only 19 entries have come, absolutely correct data has come here, 26 is written, all the things
[08:43:12] have come absolutely correct, it has been completely filled here also, your
[08:43:17] data has come in a completely accurate manner, now you can do any work, now suppose something gets added in the main data also,
[08:43:21] then it will come here in the correct way, the steps that you have applied in other things,
[08:43:27] those steps have already been applied in the data coming ahead, but later
[08:43:31] if you have to make some changes in it again, then what should you do, and
[08:43:35] nothing of Power Query is coming here, then you click on this, go to the Data tab and from here
[08:43:40] Do the queries and connections and look at this table, that's why I always say that
[08:43:45] if you go to table design, you will find the name here as well, so you will understand which
[08:43:48] query belongs to which table and then if you open it, it will open again in it and
[08:43:52] you can do all the work again and you can close and load it again from here,
[08:43:56] so it will close and load again in the same way. Okay, now let's move ahead and
[08:44:01] look at our AI tools more. For now, let's sum it up as quickly as possible
[08:44:06] because
[08:44:10] the guidelines are going to be done, they are going to do data validation. What does data validation
[08:44:15] make you do? It makes you create dropdowns. So let's quickly see how to make it. I
[08:44:19] am going to start from the most basic, so wherever you want
[08:44:23] to create data validation, go to the cell for which you want to create it, after that go to data validation.
[08:44:27] After going to data validation, you will get a window like this. You will get the most
[08:44:32] basic one, which is the most useful, I will tell you that. Okay, first of all
[08:44:37] go to which one, go to the list. If suppose you have less data, then you can see the dropdowns. If there is data and it is not written anywhere else and
[08:44:41] you want to create a dropdown for yourself, then you will write directly but
[08:44:45] with commas, like I want to create a data validation of online and offline,
[08:44:49] if I want to create a dropdown, then I will write online here, then
[08:44:53] I will give a space, comma, space, after that I will write offline and whatever you write, it will show there and
[08:44:57] I will click OK and now I can also drag it from here, so there is a dropdown in every one,
[08:45:02] see, you have an option on this side, now you can click on it, you
[08:45:06] can enter anything you want, so whenever you want to do something that I
[08:45:10] do not have to write and I have a particular thing, then you can create a dropdown in this way,
[08:45:15] you can do all the work from there, the second thing is suppose you have a list so long that it
[08:45:19] cannot be written by yourself, then you can also use this, data validation, so you
[08:45:24] will go to data validation, after going to it, you will go to the list from here and
[08:45:30] give the source here that where is that data, like you went here and You
[08:45:35] have taken all this data from here and pressed OK, and after that
[08:45:40] you have dragged it here and we will stretch it a little, so look, you can write the name you want to write here,
[08:45:44] you can write the name you want to write, along with this, this
[08:45:48] list is very long, so you can do it here up and down from here, you
[08:45:52] get a dropdown, you also get a scroll bar, so in this way you
[08:45:56] can make as many entries as you want, okay, what is the third thing, let
[08:46:02] 's do further in this, dates which are the most important, so we will go to data validation and here
[08:46:07] you will go to any value and use the date,
[08:46:12] you get many options for using the date, you can use the date in different ways,
[08:46:16] if I talk about it, then here between not between equal to not equal to
[08:46:20] greater than there are many options, all these options are the same as
[08:46:25] the type of options you see while doing conditional formatting, exactly like that. There are options
[08:46:30] here, what are you doing, you are restricting, now like I
[08:46:33] have taken between and I want that I have created a sheet and I have given it to my employee
[08:46:37] and I am telling that when he enters a person, then only this financial
[08:46:41] year's entry should be made, he cannot enter any other date, so in such a case
[08:46:46] I will fill it here that ok sorry after filling between I will give the state date here,
[08:46:50] it will be 1 4 2025 and end date will be given to it 31 3 2026 and we will make it ok and
[08:47:01] now we will drag it so that this rule gets applied to all and now when
[08:47:06] I write 1 1 2027 here and enter then it is not letting me do that, it is saying this
[08:47:12] value does not match the data validation restriction defined for the sale, okay
[08:47:17] but there if I enter today's date and enter then it will not let me do it, so
[08:47:21] in this way you can put any restriction that here But whatever entry is there, it
[08:47:26] will be of that type only. Now we will read further from these restrictions, but first
[08:47:31] let us know a few restrictions. Just like the restrictions that you have read for the date, the same
[08:47:35] restrictions are there for your time, which you can explore . If you have any doubt
[08:47:39] anywhere, please let me know in the comment section. After this, the most
[08:47:44] important thing is text length. We use text length. Suppose
[08:47:48] you have made an entry, any sheet, inside which there is a particular
[08:47:53] The person has to enter all the data and in that entry he
[08:47:57] has to write the contact number as well. Now you know that the contact number is a very crucial information for you and
[08:48:02] in that information you have to fix this thing that the digits that will come will be 10 digits only
[08:48:06] and cannot be more than this and cannot be less than this. If it is less than this then also it
[08:48:10] is wrong and if it is more than this then also it is wrong. So if you
[08:48:14] want to put a restriction there that the person can fill only 10 digits and if he
[08:48:18] enters less then also an error will come and if he enters more then also an error will come. So in such a case you
[08:48:22] can use the text length. You need the minimum to be 10 and the maximum to
[08:48:26] be 10. So you can use this and press OK. Now look here. 1 2 3 4 5
[08:48:30] 6 7 8 9 and enter it will not let you do it. OK I have deleted it. 1 2 3 4 5 6 7 8 9 10 Enter 11,
[08:48:39] it will not let you do it, but enter 1 2 3 4 5 6 7 8 9 10 right there, it will let
[08:48:48] you do it. It does not matter what the number is, it does matter to it that 10 digits
[08:48:52] are going to come here, so you can reduce the scope of mistakes here a little bit,
[08:48:58] that means it will not happen here that even a minor mistake with the
[08:49:05] number 9 or 11 or a number more or less than that, we can avoid that thing,
[08:49:09] so that is why we can use data validation here, let's move next,
[08:49:12] what comes to us next, see under data validation, these
[08:49:17] are the main ones that are used the most, here you get more as well like whole number, there
[08:49:21] should be a whole number which should be between 100 to 1000, maximum 1000,
[08:49:26] you did it and pressed ok, so now if you fill something like 9 638 here, it will not
[08:49:32] let you do it, but it will retry right there On retrying, it still
[08:49:37] did not let you do it. Now suppose you fill triple 9, enter triple 9 and it will let you do it.
[08:49:43] Similarly, you could have done greater than smaller than in this way. Same goes with the decimal
[08:49:47] . For decimal, you can try it. If it does not work, please let me know in the
[08:49:51] comment section. Now, after that, I will tell you two more things, which is input
[08:49:55] message and error alert. Input message is a thing which does one thing. For
[08:50:00] what are we taking the tax, we do it for this. For the number, we
[08:50:03] will go to data validation. Input number. Input message is such a thing in which you
[08:50:09] go to the cell and it will give you information that this has to be filled in this cell, like
[08:50:13] [music] a number
[08:50:18] should consist of one
[08:50:23] second consist of 10 digits. Okay, and you can copy it from here once
[08:50:30] because I will teach you further, so if you press OK, this message will go away.
[08:50:34] Do OK. You are going here, so it will give you information. The number should consist of
[08:50:38] 10 digits. Okay, but if you want to put an alert there itself, alert
[08:50:43] means if a person inputs a message, then it comes as soon as you go near the cell, it
[08:50:48] will start showing, it is giving you information. What is an error alert is that it
[08:50:52] is alerting you. Now in the alert also you have an option, you are
[08:50:57] telling him very strictly, stop don't do this, or you are giving him a warning, you know what
[08:51:02] he is doing, 10 digits will come in it, that is the warning and information sir, 10
[08:51:08] digits will come in it, that is the kind of the instruction, so we will take the information here, we
[08:51:13] will not be so conservative, okay, and here we can give him whatever message you want to give, I
[08:51:17] had to give the same, so I have given the same and press ok, so now when you go to him, it
[08:51:21] is giving you this instruction, okay, if I enter 1 2 3 4 5 6 here, then
[08:51:26] it will give me Now he is not getting angry, he is not doing anything, now he is writing the same thing,
[08:51:30] number should consist of digits, okay, then it will work there, okay, so
[08:51:36] let's go ahead, in this way we have completed our data validation, now let's
[08:51:40] move ahead, what we are going to do next is now we are going to do developer tab, so
[08:51:45] we will see how the developer tab comes, how all the things happen, we will learn that because
[08:51:50] we get macros, VBA from the developer tab only, so if we have to do anything
[08:51:55] here, then how will we do it, for that we need developer tab,
[08:52:00] if developer tab is not in your system, then you don't have to do anything, right click here,
[08:52:03] go to customize the ribbon and from here you will see, inside it there will be developer tab which
[08:52:08] must be off, you turn it on and click ok, then your developer tab will be added, okay
[08:52:14] now we are going to learn a few small things about developer tab,
[08:52:19] I will tell you one or two points from here in the insert one, after that I will tell you
[08:52:23] how to record a Mac. Suppose you want something here, like anyone
[08:52:28] here, there are a lot of controls given. You take a button here, you
[08:52:32] draw it here. Okay, you have drawn this button here. You want that
[08:52:37] if I click on this button, the value should increase and if I click down on the button, the value
[08:52:41] should decrease. It feels like magic, right? We have done this in Excel. So we
[08:52:46] can do this. We don't have to do anything. Whenever you take anything like this, you
[08:52:50] don't have to do anything. No matter which button you take, the scenario is the same in all of them. You
[08:52:54] will right click and go to format control. After going to format control,
[08:52:58] what is the current value? It is zero. What is the minimum value that you have to keep? Keep it one.
[08:53:02] Maximum 30,000. If you want to increase or decrease any other value, okay?
[08:53:06] Incremental change. How much should it increase after clicking once? Increase by 1 1.
[08:53:12] Increase by 2 2 2. For now, I will keep one. Later, I will change it and tell you. Cell
[08:53:15] link. In which cell the value is. The value in this cell should increase, so we took this
[08:53:19] and clicked ok, so one came here because we had kept minimum one. Now look 2
[08:53:24] 3 4 5 6 7 8 9 10 11. Now suppose I write the quantity here, I
[08:53:29] write the rate here, the rate
[08:53:34] will remain 100 only, okay, and here I write the amount and here I do a formula equal
[08:53:41] this multiply by this and I say that look, whatever I have created,
[08:53:46] the rate always remains the same, if a person comes to buy something, then
[08:53:50] the quantity will keep on changing, so think, I have created it here in this manner,
[08:53:56] it has come in all, so now we will have to make changes here under the format control,
[08:54:02] but we increased this, we increased this, so
[08:54:06] look, we can easily decrease it also, okay, I want to do something else incremental, so
[08:54:10] I clicked on this, clicked on the format control, so first of all I had to do its
[08:54:14] I need to change the cell reference. There is one cell reference here. Wait,
[08:54:19] I will do it here and we will click on it here.
[08:54:26] By clicking on it, we will change the three on the format control from here. Okay. And then
[08:54:32] I will change its increment to 10. Now, do OK. Okay. And
[08:54:38] now I drag it. Okay. And here also I need to increase it. So we
[08:54:44] will have to change it. But understand that this increment is now 1010.
[08:54:49] Okay, so you can do it incrementally. We have to change it ourselves. It is
[08:54:54] not changing it here. It is taking f3 as it is. If I remove this also
[08:54:58] and press OK. That means if I do it here, will it do this? We will have to check. It will not do this. It
[08:55:03] will not do this at all. So
[08:55:09] we will have to look at the format control a little. Otherwise, it will work like this. Okay.
[08:55:13] Same goes with the scroll bar. If you want to change any type of scroll bar from here.
[08:55:17] If you want scroll bar then you can get scroll bar, you can go to these and check, this
[08:55:21] is list box, this is your check box, this is your combo box, this is your button,
[08:55:29] this is your active x control, so you can use this, all of them
[08:55:34] have almost similar options, now let's move to the because I
[08:55:38] have to add you now which is going to be your AI tools, so let's quickly do macros,
[08:55:42] what do macros do, how do they work,
[08:55:46] I will tell you everything by recording a basic macro and then let's move forward to the next thing,
[08:55:52] so let's start macros, what are macros, see whenever you
[08:55:56] have to do some repetitive work and that work has to be done daily, it is tiring and
[08:56:02] you have to do it again and again, then in such a case you can record the macro, I
[08:56:08] will teach you a basic macro recording here so that you will know how you can record all the things,
[08:56:13] but I will tell you one thing, it can be used very well,
[08:56:17] it all depends on your creativity and It depends on the situation,
[08:56:20] what is your situation, for now let's take a basic situation,
[08:56:25] inside the developer tab, you get an option here, see what do you see here in macros,
[08:56:29] what do you see record macro, record macro is visible right, so now
[08:56:33] we will start our recording, if you want to start recording then
[08:56:37] what comes here, the name of the macro, that you give it a name, for example, suppose I
[08:56:41] give the name here, daily task, you cannot give a space here, daily task and here
[08:56:45] You have to give any key, which you will press and your work will be done, yes
[08:56:50] you will press one key and your whole work will be done, so you can give any key here and
[08:56:55] mainly give that key which does not already have anything like control key, so
[08:57:00] for hyperlink also control key is there but you can give any key, okay so
[08:57:05] I will give control L here, okay ll ll sorry l, so here he
[08:57:12] suggested me that control L will be for someone, so he
[08:57:16] gave me control shift L, already control shift l is for the filter, but let's go, he has given it to me, so
[08:57:20] it's okay, so by pressing control shift L my Mac will be done, so I
[08:57:25] remove this L because control shift L is useful for me, so I press control J
[08:57:29] and I press it okay, so now see, here the recording start
[08:57:33] recording was coming, now here stop recording is coming, so the recording has started,
[08:57:36] okay now whatever work I want to do, remember that it will also
[08:57:40] do the same, so that's why you have to do the work carefully, so I took the serial number party I took the name,
[08:57:45] after that I took the quantity, quantity, yes I wrote it right, I took the rate,
[08:57:53] I took the amount, okay, here I put the sequence formula, I tabbed and
[08:58:01] wrote 100, turned off the parenthesis and pressed enter, here I
[08:58:05] am going to note the party names for the daily, here in the amount I want equals to
[08:58:10] this ups this, what am I doing, what am I
[08:58:14] doing, my mind has wandered while teaching so much, now it's okay and we drag it here,
[08:58:21] till 100 we enter 100 daily, for example, for something,
[08:58:26] I have completed that here, it has come up to 100, okay it
[08:58:32] has come and now I merge it here, alt hmc and here
[08:58:40] I write the total, here I write total, alt equal to and enter and here
[08:58:46] I take both of these and make them green color and bold, I always want this formatting
[08:58:51] for daily, here I select it and give some other color here.
[08:58:57] Which is one of my favourite colour and here we did this, middle middle,
[08:59:05] alt oc a, so here it comes control a, alt hb a, alt hb
[08:59:11] d, if you don't know how to remember all these shortcut keys, then
[08:59:17] quickly run to part one because the shortcut keys have been memorised in such a way that you will never
[08:59:23] forget them, so let's see now we have done this, now we
[08:59:29] don't need to do anything, okay I need this thing daily and now
[08:59:34] what I do here is I go to the developer tab and stop recording from here,
[08:59:39] okay now suppose this was sheet three, I am taking a new sheet,
[08:59:43] now what do I have to do, I have to do it here and what do I have to do,
[08:59:48] what did I keep in it, control j, so I pressed control j and see,
[08:59:53] as soon as my data is in that sheet, it will be exactly like that, if I have done a lot of work,
[08:59:57] it will take a little time, stop, don't do it like this, like within a second
[09:00:01] it will come, just that small thing was recorded, so So it has come like this, if you
[09:00:05] have done a lot of work, then it will come in that way, see here the formulas have also
[09:00:09] been applied in that way, so there is no problem, if you write a value there,
[09:00:13] write a value and then you do it, then that value will also come, you know, so
[09:00:19] that's why whenever I record, record carefully, any work that has
[09:00:23] to be done repetitively, like if it's attendance work, you create a sheet once,
[09:00:27] if it's weekly attendance, then it has to be created every week, if it's monthly, then it has to be created every month, so
[09:00:31] create it once, give it only once and you can do it later, now here the main game changer
[09:00:36] comes another thing that when we record any Mac, how should we save that file,
[09:00:41] because if I save it directly like I save normally
[09:00:45] and next time I come and do Control J, then it won't work because I
[09:00:48] haven't saved it properly, so whenever you record any Mac in your files
[09:00:54] or record anything, then or VB When you add a record or
[09:00:58] do anything else, you have to go to File, go to Save As, go to Browse
[09:01:03] because wherever you want to save it, but here you
[09:01:07] will have to change the type of your file, click here, till now you
[09:01:12] were saving it in Excel Workbench, but now you can see it, here it is specifically named
[09:01:16] Excel Mac Enabled Workbench, so that when you open it again, you have to run that macro in it.
[09:01:22] Now I want to do it like this and save it here in downloads for once
[09:01:26] and save it here and now I go here and cross it,
[09:01:32] after crossing I clicked ok, after crossing I open it once again, this
[09:01:37] was probably it,
[09:01:43] yes it was, I opened it again, now I took another sheet, this is sheet one and now
[09:01:50] I just press control J and it did that work for me, okay now I will do one more thing and tell you
[09:01:54] that if suppose I had done this, I have taken any blank
[09:02:00] file, in the blank file I will do one thing, here
[09:02:05] I go to the developer tab and record and here I give its name to macro, if not, then you
[09:02:11] do one thing, stop recording, check macros here, delete it because
[09:02:15] I should not have done the employee thing by mistake, see this is another sheet, so I pressed control J here,
[09:02:20] so it will work here also because I have enabled macros there,
[09:02:24] all the macros that you have recorded, if you want to delete them,
[09:02:28] you can delete them from here, okay Now I will record another macro here.
[09:02:32] To do a macro here, first I
[09:02:36] have to turn on the record macro. Let it be called micro three. I pressed P here and pressed
[09:02:40] OK. Now what I do is I start writing anything here. I
[09:02:45] zoomed in on it. I wrote
[09:02:53] subscribe accounts. I don't want to do any marketing just like that. It
[09:02:57] just came to my mind and I wrote it. So I have written this thing. I wrote this
[09:03:01] and stopped recording here. I should press control P
[09:03:04] and subscribe accounts expert should appear. But now what do I do? I want to
[09:03:08] save it. I will save it. I will save
[09:03:15] it in save as browse downloads only. But this time I will not enable Mac. I downloaded it and named it book 3. And
[09:03:21] I save it. It is telling me that the following feature
[09:03:25] cannot be used in the Mac free work book VBA project. So now you save it. It
[09:03:30] doesn't matter to you. It doesn't matter to me. Okay. And now you cross it
[09:03:34] . Come on, cross it from here for a second. It's okay, now do one thing,
[09:03:39] go to your sheet, we went to the sheet from here and from here we went to downloads,
[09:03:44] after going to downloads we opened book 3, we opened book 3, now your book 3 will open,
[09:03:49] it will take some time and here here, so let's do it earlier,
[09:03:53] I came here and pressed control P, then my print preview is coming, it is
[09:03:57] not coming, it may be that you have pressed that, that is why it is coming, then
[09:04:02] go to macros, where is the macro, it is not the three one because you have
[09:04:06] not done the Mac enabled one, yes Mac enabled, once saved, it will show in all the workbooks, now if
[09:04:10] I press control J then all the work is done, so in this way you
[09:04:15] have to take care of macros, if you want to make any changes inside the macros, if you want to delete something, if you want to edit something,
[09:04:19] then you can click on macros and here you
[09:04:24] can do all the things by checking them, you can also select here whether you
[09:04:28] want to apply a particular macro only in this workbook or in a particular workbook If you want, you
[09:04:32] can do it in that way also, so I hope you have understood, still if you
[09:04:36] have any doubts anywhere, then please let me know in the comment section
[09:04:39] and further if any parts come, then we will definitely
[09:04:45] explore it in great detail, we will do such a work that macros
[09:04:51] do a good level of work for us, so let's move ahead now, now we
[09:04:55] will move towards our AI tools and by using those AI tools, we will also get some VBA code written,
[09:04:59] now let's see how AI is added, it is going to be very easy,
[09:05:05] you use the phone, you download the app in it, you must be doing it exactly like that,
[09:05:11] see here you get the option of add in, click on add in, so the way it
[09:05:15] does not happen in the phone that whatever you have already added, you have installed the app,
[09:05:21] then all of them are visible here and if you have to add something new, then you
[09:05:26] go to the store which is your Play Store, your App Store, go to it, then you search here,
[09:05:30] like suppose you put the formula here AI edit
[09:05:38] toolbar is fine and you click OK and search this and then it comes here and let's say you
[09:05:44] add it, I agree to it here and continue then
[09:05:49] an added toolbar will get added there, in mine it was already added, it is visible here if you
[09:05:54] Here I will show you something by playing it. If you want to see in advance which
[09:05:58] app it is, you just have to click on it and you will see all the apps here.
[09:06:02] The way to add them is exactly the same. I will tell you one thing for sure
[09:06:06] that after seeing so many ads of chat Zippity, one thing has happened that I don't know
[09:06:12] what we will do. So it will take over you and our job brother, all the work of Excel
[09:06:17] will be done by Charge Zippity itself. We don't need to do anything. That
[09:06:21] thing is wrong. We don't need to learn it. If you think this, then you are thinking wrong. It
[09:06:27] will do it. Yes, but we don't need to learn it. You are thinking wrong. And I
[09:06:31] am not saying this because I teach it. Yes, you teach it, so that's
[09:06:35] why you are saying it. The basic thing is that AI does the work. If you yourself
[09:06:41] use Chat Zippity etc., then you must also know that AI does the work and
[09:06:45] after that we ourselves look at it and see a little bit whether it has written correctly or
[09:06:50] wrongly. It does judge, yes friend, like this. Whether it is written correctly or incorrectly, if
[09:06:55] you do not know Excel, you cannot even judge it for you. Whatever it has done is God,
[09:07:00] whatever it has done is known to you. In such a case, the chances of error increase by n numbers of times.
[09:07:06] So you cannot be fully dependent. It
[09:07:12] does not even do the work that you are fully dependent on. It will create a dashboard in 5 minutes. It
[09:07:15] will create a normal dashboard. It will not create such a dashboard that you have created
[09:07:19] and it will do the data cleaning completely. You will give it to it 10 times. You
[09:07:24] will keep giving it the sheet again and again. Only then will it work. In that much time, you can do it yourself.
[09:07:28] And in that too, you have to tell it what all things it has to correct and give. When you
[09:07:32] have to tell it what all things it has to correct and give, if you cannot do it yourself,
[09:07:36] then it depends on how your AI
[09:07:40] will work. So you should not be fully dependent on AI. You have to learn things.
[09:07:45] You have to take help from AI. AI speeds up your work. I cannot replace you. I still
[09:07:50] say this, yes many people may disagree with me but this is my point of view
[09:07:55] and I would definitely like to hear your point of view too, so you
[09:07:59] can also tell your point of view in the comment section, I respect it completely too,
[09:08:03] it is not that I am completely against that thing and I am saying no,
[09:08:07] this is my opinion, this is my opinion according to my experience, you
[09:08:11] can tell your opinion in it, okay, so this is how you add a tool,
[09:08:15] if you want to add any tool, you can add it in this way, I will tell you the add of your tool here, I
[09:08:19] will also tell you a little bit of usage, I am saying it myself, I
[09:08:22] will tell you a little bit of usage but the main usage I will teach you ChatJPT, I want
[09:08:26] you to actually do some work, not just for show, hey,
[09:08:30] I have added this tool, I have added this tool, if we talk about ChatJPT, then
[09:08:34] our ChatJPT also comes in it, it comes in Excel but paid Then
[09:08:39] what will you do, it is paid, you have to pay ₹4000, ₹2000 and then do it, so obviously a lot of
[09:08:46] people use free tools, so we
[09:08:50] will talk about how they can work there, so let's first see this, suppose I
[09:08:53] have written some numbers here, 63, 68, 52, 45, write any number, what is written here, it is h3, what is this, it
[09:09:00] is h6, from h3 to H6, so suppose I want to get the sum done, then write it here
[09:09:05] and write in any language, I want to get the sum done, write it, sum it from H3
[09:09:15] to H6, I am teaching you here how Chat GPT works, I
[09:09:18] will teach you completely, okay and submit it here, then it will give a formula here, it
[09:09:23] will take us a little time, it has given the formula, you select it here and click,
[09:09:27] then it will come here, okay, if you want to get something else done, this
[09:09:33] is a very basic formula, you have to do something else here What can we get done
[09:09:36] here, for now we do not have any edge sheet, otherwise we
[09:09:42] should take a sheet where we can get some work done, let us take this one from there, the one
[09:09:47] where quarter one is taken, well that has been deleted, let me just take another
[09:09:54] example practice data, we can open it, this also
[09:09:58] will not open, okay, let us check, do we have other things also,
[09:10:06] if Book Four gets opened, let me check, if there is any data here, then
[09:10:14] you will find the data here, if there is a pivot, then there is main data,
[09:10:24] there is a lot of data here, but yes, we just come to that, this is fine.
[09:10:29] You can get formulas written here in this way, whatever formula you want to get written,
[09:10:33] suppose I have an apple
[09:10:38] , mango
[09:10:42] orange here, I did this, okay and here we copied and pasted it here,
[09:10:50] pasted this, then copied from here and pasted this, okay, I have done this here,
[09:10:56] after that I have to write some values here, I
[09:11:00] will create the data for you once,
[09:11:03] right here , do rand between tab, I also do anything in a hurry
[09:11:09] brother, rand between tab, after that enter bottom value 100, maximum value 500 parenthesis off
[09:11:16] and from here you can stretch it, copy and alt v enter, so it
[09:11:24] will not change now, so now I will tell it from h4 to I15,
[09:11:31] I have data written from H4 to H4 to I15, from I15
[09:11:41] there are names in
[09:11:45] h4 to H 15,
[09:11:49] there are
[09:11:56] values in i4 to I15
[09:12:07] and copy and paste here it is K 3 to K4 this was also K H4, oh yes
[09:12:20] I have taken H4 only. Yes, okay.
[09:12:26] Check the names written from K4 to 56
[09:12:33] in the main list
[09:12:43] and sum the values
[09:12:49] and give the answer from L4 to L6. So you
[09:13:00] have to keep this much specification. Okay, now you submit it and see, I don't know if it will really
[09:13:04] come or not because I am applying it in front of you, I
[09:13:08] have created the data in front of you, so it was not there already. Yes, he has created it and given it and we
[09:13:12] will put it here, which is 1301 and I think he has definitely done something wrong,
[09:13:18] I will be able to check that because I know, here he has given a criteria range,
[09:13:22] which is H4 to H15, which is correct, then he has given K4, correct, okay, he has given K4, H4
[09:13:29] and H15, look, he has given four for L4, for L4,
[09:13:38] give the answer
[09:13:52] for L5 here in such a way that
[09:14:01] the answer from L4 to L6 comes in one go.
[09:14:10] Submit, now let's see whether he puts the dollar or not,
[09:14:15] how much. It has been given in a complicated manner, no, so I was satisfied with the first one,
[09:14:24] so I saw that is why it does some things here, it did a great job there,
[09:14:30] it has not done it here, now I will delete this last one
[09:14:38] and
[09:14:41] submit, see, it has given it by applying it, okay, now it has given it by applying it, now you can just
[09:14:47] drag it and the correct answer will come, we can check it once, so
[09:14:52] apply control shift L, do apple from here itself, there is no problem, do ok and
[09:14:57] select it here, see below, what is the answer 13101, it came correct, it is absolutely correct, absolutely
[09:15:03] fine, so in this way you can use your AI tool which is
[09:15:08] formula AI AD toolbar, there are no particular things in it, you just
[09:15:12] have to do one thing, you have to login, after logging in you can use it,
[09:15:17] you can give prompts here in any language and you can get formulas made from it here,
[09:15:21] if you have any formula directly, then you can get it made directly here,
[09:15:24] but if your If there is a big issue, then it will be solved in chartity. I
[09:15:28] personally prefer chart gpity, there you get more scope.
[09:15:33] Here for formulas, so particularly you can use this. If you
[09:15:36] feel that there is no such big issue, just a simple formula
[09:15:41] needs to be written directly, then you can use formula ai edit toolbar. Now let's see a couple of ads,
[09:15:45] after that we will move ahead towards the next tool and after that we
[09:15:51] will talk about four jpts. Okay, the next tool I am going to tell you is which is yours, we
[09:15:55] will use this data, smart yes, using this we are going to create a graph,
[09:16:00] within which if you want to create a people graph, then we will go to ads, I will
[09:16:06] tell you the name, which is people graph, you will search in the store there and you will find
[09:16:09] the people graph, turn on and after that this type of graph
[09:16:15] will appear here automatically, just give some time, it is loading a little and here
[09:16:19] this type of graph has come, you can move it to the side
[09:16:24] and We are not able to do it on the side, so we go a little to the side, okay,
[09:16:29] inside this we have the basic things and there is nothing else, you number, here one second two options come,
[09:16:36] data and your settings set data, first of all choose it, you have to select
[09:16:40] the data, so it also tells you a sample data, you have to select this data
[09:16:45] and you have selected three rows and take two columns, what did we have to take, you have
[09:16:51] selected yes, so create it, so it has created it, see it has come here and
[09:16:56] From here if you want some other way, if you want to change the theme then you can change the theme,
[09:17:02] okay the theme has to be kept like this, you have to keep this one but if you want to change the person then you
[09:17:08] can change the person, okay I liked this, this is good and if
[09:17:14] you want to change the shape then you can change the shape as well, okay you can change whatever you want,
[09:17:18] I wanted to keep this, I kept this, if you want this, if suppose I make it 690 here,
[09:17:23] then see the total has changed, then your chart is also changing here, so just like a normal
[09:17:27] chart works, this works exactly in the same way, so this was another tool of yours which is
[09:17:31] your people graph, I am telling you another tool which is of Chat Jpity only here,
[09:17:37] you must have always heard of Copilot Copilot, so let me tell you
[09:17:41] that the work that our Copilot does, it works in 365 and it is a paid
[09:17:48] version, okay so our Copilot does not work in the free version, but
[09:17:52] what does Copilot do, it works only on chargePT, okay so we We will get that work done through ChargePutty
[09:17:56] but if we have to do ChargePutty work here as well then there
[09:18:00] are paid tools and there is a free tool as well, I will tell you that
[09:18:04] you will go to AI addon here and from here you can install Auto Pilot, Auto
[09:18:09] Pilot is one such tool which works like ChargePutty, you can add it,
[09:18:14] after adding it you will see it here exactly the way
[09:18:19] ChargePutty looks, it is asking you to upgrade, ok look you
[09:18:23] can also read here that it is saying talk to it like ChargePutty,
[09:18:28] you can talk exactly the way you talk to ChargePutty and now suppose give me
[09:18:33] 10 random Indian people name because I have to create my data, so I need it, so
[09:18:39] I gave this to it and I pressed enter, here it will also
[09:18:44] take some time like ChatJPT takes but ChatJPT works a little fast, so
[09:18:48] here it also took and I have copied it here, I think sorry
[09:18:52] I used clipbot by mistake and here But I can paste it here,
[09:18:57] can I paste it, can I paste it, paste it,
[09:19:01] so here I have all this data, now if you are saying that I
[09:19:05] want the names separately, then use flash fill, you select it, copy it, go here and paste it,
[09:19:10] come down and do control E, all the names will appear, now you can use your names easily,
[09:19:15] okay or you could have made it work by giving more printing here, that is your auto
[09:19:20] pilot, so we can also use this, there is nothing like that in the use case, but
[09:19:26] there is a little inconvenience in using it, isn't it, it is on the side, you are not able to write properly,
[09:19:33] if you feel it is okay then use it here, no doubt everything will work as it
[09:19:37] is, but if you feel that I can do better in RGPT, then
[09:19:41] you can do it there as well, okay, next I will tell you another good tool
[09:19:45] which is QR generator, so let us see that now, if you want to generate the code, then you
[09:19:51] can definitely generate it, for that you have to do What happens is very simple, you just
[09:19:55] add an add-in there, go to the developer tab and add QR4 Office, and you have to add it and
[09:20:01] I have gone to my Play Store and you can add it and here you just
[09:20:06] have to give your URL here, now I wanted to explain it completely to you, so let
[09:20:10] me do one thing, first of all I do it from here and here I
[09:20:17] enter accounts expert app.com and here our
[09:20:24] website is done, I take it and copy it and
[09:20:30] go to my sheet here and paste it here, after pasting I get to know that HP
[09:20:36] https is already there and there are two slashes also already, so I have to remove it from here, so
[09:20:41] I removed it and now you will see that https was there, here there is P, so you click on it, you
[09:20:46] will also get https here, you have to make it of some other color like our
[09:20:51] logo is of blue color, so we want blue, you have to increase its size, so
[09:20:54] you can also increase the size, wherever you want to insert it, you
[09:20:57] click on that cell and come to the insert option here. This is now a scannable QR
[09:21:03] code of yours, which we will try to scan now. Just give me a minute, let us try to scan it now
[09:21:09] . We will need a phone to scan this, so we have brought our phone here and
[09:21:14] we are scanning it. Look, I have turned on the scanner, okay, so I
[09:21:19] am scanning it. After scanning, I clicked here. Look, it
[09:21:26] is opening automatically, our website has opened, okay, trust me, I have scanned it.
[09:21:31] I had done it, it's true, I had scanned it and it opened
[09:21:36] once while I was scanning and I will tell you that look, I have shown this here, it
[09:21:43] will go if I show it like this, so while scanning I
[09:21:47] can take a screenshot, has the screenshot come, so I will show you the screenshot, just give me a
[09:21:53] minute, just look at the screenshot, just look at this
[09:21:59] screenshot, if you can, so when we scanned,
[09:22:04] it showed the accounts expert app and then it opened that website and
[09:22:09] showed it, so in this way, if you want to make any QR code, then you
[09:22:13] can definitely make it, let us move ahead, the time has come, the time has come
[09:22:18] when we will work for ChargePT, so we will do one thing, from here first of all
[09:22:23] you will get ChargePT, how do you go to Chrome and type ChargePT four jp.com
[09:22:30] type chat jpt ai, you will not get this type of interface, just
[09:22:35] because I have logged in, so it is taking you directly to this type of interface,
[09:22:40] chart jpt ai once Let's see if it comes or not. Yes, after that you can open it here.
[09:22:46] Whichever comes first, you can open it here. Right now you will not find it here.
[09:22:51] Come to the one for introducing. There
[09:22:56] is a Try Chat JPG here. Click on it and then log in. Okay, logging in
[09:23:00] will give better results. Now suppose the first thing we are going to do is
[09:23:04] to create data from it because one big thing is that I want to practice.
[09:23:08] I need data. So suppose I want to create data from it.
[09:23:11] I want to create a downloadable file. So how can I do it? So I
[09:23:16] will tell it to create. I want to practice. Well, you can write it in Hindi or
[09:23:23] English as you want to write. Let me
[09:23:26] write in my language. I want to practice pivot tables
[09:23:33] in Excel. So create a huge data for me
[09:23:42] which I can download. And don't pay attention to the spellings as well. It
[09:23:50] will automatically consider it. But don't do it in such a way that it cannot understand it.
[09:23:55] I I should download it and practice so that I
[09:24:00] can download it, let's see if it works or not, Chat Jpit is like an intelligent
[09:24:07] stubborn child, look now he has said it seems like I don't do more advanced data
[09:24:11] analysis because for today we have done a lot, if you want I
[09:24:15] can give you a ready CSV file format, not for copy paste,
[09:24:20] I only need a downloadable file,
[09:24:27] so in such a case we have to take some time, whether he
[09:24:32] can do that much analysis at that time or not, so right now Bhai sahab is not in the mood to work,
[09:24:38] no problem, we are also Jugaadu, so we will make some other Jugaad, we
[09:24:44] will reach somewhere else, whatever happens, we have to do it from here, from here we have to
[09:24:50] go to its Chart JPT, ChargePity AI and we have come here, introducing
[09:24:55] ChargePity, it does not matter to us, if you do not do it, then someone else will do the work,
[09:25:01] but we are concerned with work, so we have come here,
[09:25:06] now he is saying that he cannot download, so he shows some tantrums, that's why see
[09:25:11] I am here I am not going to make any cuts on it, as I have said earlier also, I
[09:25:14] will do the work exactly as it can happen to you in reality, okay
[09:25:18] or you can directly tell me provide downloadable
[09:25:30] sheet, forget about the spelling,
[09:25:36] my brother, I will not provide provide excel file, provide excel file to
[09:25:43] download, he will not listen directly,
[09:25:51] he is impudent, I currently cannot provide downloadable excel file, how can I guide
[09:25:56] you on how to generate, I do not want to guide me, I want you to download it and
[09:26:03] give it to me , please provide downloadable excel file,
[09:26:10] brother, right now it has become very stubborn, it will not do it, I also feel that
[09:26:17] you have stopped, brother, come on, come on, okay, it seems that you
[09:26:24] know you need to be locked in, oh,
[09:26:34] you will have to log in, let's log in from here and continue,
[09:26:42] we have to give our full name, accounts export, I will give
[09:26:48] birthday month one, not
[09:26:52] three, I am writing anything, I
[09:26:57] will make it 199,
[09:27:04] no problem, it will be logged in, okay, the login is done, now I will have to bring that prompt, so
[09:27:11] I will do this Let me paste it here and hit enter because I did that earlier.
[09:27:16] I will definitely create an Excel compatible CSP file for you so that you can use it.
[09:27:19] Why is Private Excel saying CSV file, but it doesn't matter,
[09:27:25] it will also create comma separator values, so it's fine.
[09:27:30] Tell him that I don't want CSv, I want a normal Excel
[09:27:38] file, I want this CSV. Do you know why he gives it because
[09:27:44] the size of CSV is small, so it can process quickly.
[09:27:49] Now he has given me the download file, the practice file, now you can download it from here.
[09:27:53] That's why I was telling you to log in. Look, we were working directly,
[09:27:56] so he has said it, but it's okay, our work is done. We will see here,
[09:28:01] if we double click, has he given us the data? Has he created it? Now we
[09:28:04] have to check. So, he has not given this data yet. He has not given this data. This is
[09:28:10] our power query data. Its data has not opened yet.
[09:28:18] He had given this data.
[09:28:23] Yes, now its data is opening. And here we go. He
[09:28:30] has created so much data and given it to you. It's fine. You had asked him to create huge data. Well,
[09:28:34] if you want to make any changes in it, then you can make the changes. You can get it done,
[09:28:39] okay, so now first of all what did we get him to create,
[09:28:44] we got the data created, next we will get the data cleaning done by him, I have to explain data cleaning to you, so now I will tell you
[09:28:48] that I will get it created by him and will also get it cleaned by him, so look, do this right now,
[09:28:54] okay, so we will say provide
[09:28:59] me the Excel file for
[09:29:04] practice the data cleaning
[09:29:10] provide the Haze [Music] data, so let's see if it provides us the Excel file or not
[09:29:17] , it takes some time,
[09:29:22] it will analyse the whole, create that data, after that it will tell
[09:29:26] that I cannot do it and inside it it will also tell
[09:29:31] what all it has done, perfect for practicing, so we click
[09:29:35] on it, it must have been downloaded here, we click on it here, here I
[09:29:39] am explaining to you the complete writing of the prompts, so I will not give the prompts separately,
[09:29:43] so you guys do not have to write the prompts yourself, I am literally writing only what is coming to my mind,
[09:29:46] I had not planned in advance that
[09:29:50] I have to get you to write this prompt and first I would have checked, that's why I
[09:29:54] wait here whether things will work or not, I also have my fingers crossed like
[09:29:58] oh my god it should work, so let's go where we were
[09:30:04] at the data clinic, we will have to open it again, yes, there are many excel files open,
[09:30:09] that's why, so look, you can do missing values etc. here, it is there in this, it
[09:30:13] will also help you in power query, now you
[09:30:17] can do data cleaning from here only, this is how data is created, now this is done, let's
[09:30:22] cross it out for once, let's keep it like this, now we go back,
[09:30:25] now we will get it done in data cleaning from the same, okay now you use this plus sign and
[09:30:30] upload from the computer and wherever your file is,
[09:30:34] give this file to it and open it, okay, so this file will come here, now
[09:30:41] analyze it and clean it
[09:30:54] completely and then guide me what procedure or follow
[09:31:06] to clean it, write anything, it doesn't matter, he should just understand
[09:31:14] your point. Great, I have analysed the file, this data is quite messy and there
[09:31:19] are some extra columns too. Here I have noted all the problems and then
[09:31:22] given the steps for cleaning
[09:31:26] . Now I am making a clean version. One second, he is making a clean version.
[09:31:32] After cleaning, I will tell him at the end. Well,
[09:31:37] he has done it and given it to me. Clean it. Oh my God, it has become much better. Nice,
[09:31:44] our charge has improved.
[09:31:51] Here, when we open it, it will show in the drawer. I know this thing. So, we
[09:31:57] click on it again. Now it will open. Look, it is the same. He has made 15 entries and
[09:32:04] he has deleted them. And from here, all the values have also disappeared. Now,
[09:32:08] he has also told you what all he has done. He has also
[09:32:13] told you what all he has done. He has removed the extra column, done drop incomplete rows,
[09:32:16] cleaned, fixed, scripted, imputed, verified,
[09:32:20] reset. So, whenever you get something done, you must ask him
[09:32:24] what all he has done. So that, you can check later. You can do all this, and you
[09:32:28] could have checked the same data here, the same customer IDs were there, etc., but there were a lot of customer IDs,
[09:32:32] this data was a lot, according to that, he saw this data,
[09:32:40] you cannot trust it, so we went further and checked it.
[09:32:46] He will say that 15 he cleaned it as a sample and gave it
[09:32:51] to us
[09:32:57] , clean the complete clean the whole
[09:33:03] data, you
[09:33:07] just 15 entries I want
[09:33:14] old data to be
[09:33:21] cleaned, so now we have to apply this with it
[09:33:33] , but if even now he does not do it, then we will have to tell him in detail that
[09:33:37] our data is written from this cell to that cell and only after that he
[09:33:42] will do that thing for us, so now he has created another sheet and given it to me and I
[09:33:46] can check here, this is what it is with it, see I was getting happy that oh wow he has done it, isn't it, and
[09:33:51] later I had to come back to the same moment that ok
[09:33:57] fine let's not celebrate so early, so look he is not doing it,
[09:34:08] he is not giving it to us, I checked, he is giving us till 15
[09:34:14] because there is no gap after 15, still he has given it after 15, Emily,
[09:34:21] I check once, has he taken the name also the same or nothing on his own, he is
[09:34:27] taking some other name also, he is picking some other data. We have given the same data
[09:34:35] 100010001 Employee ID Let's check the employee ID.
[09:34:41] No, he has taken some other data. We have to give him the data. This
[09:34:48] could also be our mistake.
[09:34:54] This is not fully cleaned. We are looking at the pivot table practice data.
[09:34:59] No, it was different. We are looking at the data cleaning one. We
[09:35:04] give it the data cleaning practice data and
[09:35:09] open analyze it and clean it and at last
[09:35:19] tell me what procedure you have applied
[09:35:27] to clean
[09:35:30] it. So we give it a little more time here. One more chance. The file
[09:35:35] has been loaded. The data is messy. It is telling that this cleaning has to be done.
[09:35:43] Now I will clean it completely systematically. Let's start. The language in which you
[09:35:47] talk to it, it answers you in the same language. Let's wait a little. So
[09:35:52] here our file has arrived. We have downloaded it and we
[09:35:58] would like to open it. We have opened it and it will not open. As far as I know, we
[09:36:04] have to click on it. And look, it has arrived here. It has come back after being cleaned,
[09:36:10] maybe we had given him another sheet, okay here, but still
[09:36:16] some values are missing in between, so you keep giving him this sheet again and again
[09:36:20] and keep telling him to clean it, clean it, this thing is still left,
[09:36:24] so you have not removed the missing values in the email, you have not removed the missing
[09:36:28] values in the phone, then he will do that work for you as well, but I hope now
[09:36:32] you must have understood how we get data cleaning done, let us
[09:36:37] move ahead, if we get some code written from 4GPT, then generally you must have seen that
[09:36:41] whenever we write something, suppose I write Accounts Expert here, I
[09:36:45] write Accounts Expert and it goes out, then we have to do it ourselves
[09:36:48] or he has to select the entire data and do Alt H OI or Alt H OA,
[09:36:53] so what can we do to prevent this thing from happening, first of all, my motive is not to teach VBA code,
[09:36:58] my motive is that no one How to write a proof because after knowing how to write any
[09:37:04] proof, whether it is VBA or formula, you
[09:37:07] can get anything written, right? So my aim right now is that you should learn how to
[09:37:14] write a proof. Yes, whenever you write a proof, you
[09:37:19] should keep one thing in mind. What should I keep in mind? First, what is the name of my workbook and second,
[09:37:24] what is the name of my sheet here? So, you will tell it here
[09:37:31] in the initial while telling it. I have a workbook
[09:37:36] whose name and whatever the name is, you have to write it in double inverted commas
[09:37:44] and write the name exactly the same because it is possible that he will write some code and
[09:37:48] the name of your sheet will also go in it. So, if that name is written wrongly, it will not be written. So,
[09:37:52] book two is fine, so you have to write it exactly the same in which the font in which it is written is it not
[09:37:57] book two, so you also do not give spaces. You have done this
[09:38:01] in which there is a sheet, sheet and check there,
[09:38:08] is there a space in it, is there no sheet one, space is fine, sheet one is fine.
[09:38:13] Now, whenever I write anything in this sheet,
[09:38:25] the height and width of the cell
[09:38:32] in which I have written anything
[09:38:41] should automatically
[09:38:51] get adjusted. For
[09:39:00] this automation,
[09:39:05] write the VBA code and give it to me. So, I gave it to him. Here, I
[09:39:15] told him the name of my workbook, I told him the name of the sheet, he also told you the complete procedure.
[09:39:19] I will tell you what to do but I will also tell you the procedure. Copy it.
[09:39:23] After that, go to your Excel sheet. You
[09:39:27] can right click on sheet one and go to view code. Or you
[09:39:31] can go to visual basic by going to the developer tab. The same window will open. After that, you have to go to insert
[09:39:36] and add a module. What is a module? You can put
[09:39:40] a lot of codes in any sheet. So, if you want to write something in the first module, you
[09:39:45] can use it. Now paste what you had copied and brought here. You don't have to do anything else. You have
[09:39:49] to cross it from here. I forgot to click on module one. It
[09:39:55] has come. After that, you can either run it or click on this green button. It
[09:39:59] is saying the name of the Mac. I will give it one. I will name it macro. Okay,
[09:40:05] create it with the name of the Mac. I created it and clicked. So, it
[09:40:12] should have run now. Why didn't it run? I
[09:40:17] will check. I
[09:40:21] will run the macro. Why did I run this one? I ran it. I have not given Mac edit,
[09:40:31] okay, I will do it like this here for now and if we get it run, then
[09:40:38] here we have to give the name of the Mac, what do we have to give, let me give auto fit, and
[09:40:45] create, and after that we cross it,
[09:40:51] let us run auto fit, and cross it, so now if I write anything here, let
[09:40:57] me write B Tanu Single once and see if
[09:41:03] it is not happening, then we will go and tell him, it is not happening, right? It's
[09:41:08] okay, I have done, it's not working, I
[09:41:15] told him normally, it's not working, so now let's see what he replies, let
[09:41:19] 's see step by step what had to be done, open VBA double sheet, double click on sheet one under
[09:41:25] VBA project book two, and we
[09:41:30] had to copy this one, still not working, so try something in
[09:41:37] A1 and press enter once again, we will
[09:41:43] go to that cell, okay, we have to work in the same sheet, we have to rename it, sorry, why
[09:41:49] did we rename it, we went to view code, went to module one here,
[09:41:55] make it control A Compile
[09:41:59] error, remove it, do Control V and then run it and here I
[09:42:06] give it the name Auto Fit because I removed it, then that also went away, create it and cross it, cross
[09:42:12] it, still it is not working,
[09:42:17] here I write Accounts
[09:42:21] Expert, still it is not working, so I go and tell him,
[09:42:28] I copied the code,
[09:42:35] went to view code, went to insert module and pasted it, then he created a macro,
[09:42:46] I gave a name and created it
[09:42:55] and crossed everything,
[09:43:01] still it is not working, tell him what have you done, so that
[09:43:11] anywhere, ah this is the problem, you have pasted the code in the module whereas this code
[09:43:16] is a worksheet event, okay this is a worksheet event, so see, as soon as I told him, he
[09:43:20] told me that where was I making a mistake and such a mistake
[09:43:25] can happen to you also, there is no problem, you right click, go to V chord and go to the module here,
[09:43:29] after going to the module, first of all
[09:43:33] delete it by controlling A, then you cross it here But you just have to choose the worksheet,
[09:43:39] you have chosen the worksheet, now you paste it,
[09:43:46] now you cross it, now you cross it, so now it
[09:43:51] will work private sub worksheet selection by this now I tell him it is showing
[09:44:00] compile error, it is showing compile error,
[09:44:07] now let's give a perfectly correct and tested solution step by step so that
[09:44:11] no compile error comes, okay, I will go to Alt If 11 and go there and
[09:44:16] do insert module, that separate for macros not for this automatic event based on a, so we
[09:44:23] space this exact code in sheet one code window and have to do it there, no compile error
[09:44:28] will be automatically adjusted, okay we will go here and first of all
[09:44:35] delete the module thing, okay, we will
[09:44:41] close it here also, press Alt F1 as he said, we have come here, we
[09:44:48] don't have to do insert module here, so what do we have to do, from here we will ask him
[09:44:54] what he is saying open VB Alt F1 and step two in left pin double click a VBA
[09:45:00] project to end sheet one so
[09:45:06] we will go here VBA project sheet one okay here we will take the worksheet here we will paste it
[09:45:12] this is what it is saying let us read it once so that there is no mistake step two is done
[09:45:16] step three paste this exact code in sheet code one okay no compile error nothing
[09:45:20] It will come, then we have to directly close it and nothing else has to be done. So now we
[09:45:24] have heard it exactly, we cross it, cross it, now
[09:45:33] I by well target and range
[09:45:43] this command will stop the
[09:45:47] debugger expected and some are also coming, wait now we write the error is showing,
[09:45:55] the same compile one,
[09:46:03] now I will create a working error free eXtensible fill for you,
[09:46:10] so it has created the file for me and if we want to copy it,
[09:46:16] then we have to do that by pressing control S, let's try it once more,
[09:46:24] delete it by pressing control A, ok, deleted it, took the worksheet here, pasted it here, pressed control S,
[09:46:31] no control S, so do not do cross,
[09:46:36] did it work, is it not working, okay, so
[09:46:41] what work has it done for us now, it has created a file for us in which there
[09:46:46] will be auto fill, meaning it will be auto adjusted, so I click on it, download it and
[09:46:51] here we can see its code,
[09:46:57] it will open, it will take some time
[09:47:13] because the file format and extension is not verify the file. Has been corrupted This
[09:47:18] is a corrupted file so it will not let us do this also It has made us crazy Now let us
[09:47:23] do something else Wait a second we do this again
[09:47:30] So we will go to a blank workbook Its name is book four here Now I have
[09:47:39] a workbook whose name
[09:47:46] is book four In which there is a sheet whose name here I am writing the same question Like I
[09:47:54] was writing sheet one Sheet one Give me such a VBA code
[09:48:05] that whenever I write anything in the sheet,
[09:48:16] the row column gets adjusted automatically
[09:48:26] He gave me to copy and said go to the VBA product sheet and do
[09:48:33] it Right click on microsoft Excel VBA project Click on microsoft object
[09:48:40] Double click
[09:48:43] on the sheet This is a little different from what I always do
[09:48:51] Go to Alt Alt F1 Go to VBA project Double click on the sheet And from here
[09:48:58] is there some declaration also Take something in the worksheet And copy paste it
[09:49:03] And cross it Now I write here Counts Expert
[09:49:12] only comments appear after And sub And function and And property
[09:49:20] compile It is giving an error, it is again
[09:49:26] giving compile error [music],
[09:49:36] it is again creating its own file and giving it to me, no, by the way I
[09:49:42] will tell you one thing, let me tell you one code, here it is doing this, so already I
[09:49:47] wanted to get it written by it, but if it is not doing it, then you can write a code here,
[09:49:52] see you have to write the code here, you will go to the worksheet, here you will write sales
[09:49:58] dot entire column because we have to do that for entire column,
[09:50:03] tab dot auto fit tab and nothing else, you
[09:50:10] have to cross from here, now see it has happened automatically, I will write here accounts
[09:50:15] expert, then it will happen automatically, but the thing was that he did not write it for us
[09:50:20] , but for now it has been a little unsuccessful, I know this thing, but
[09:50:25] we will definitely make it successful and in this way we write the code, whatever method I have
[09:50:30] told you, in this way if we want to get any formula written, we write it, now
[09:50:34] we will try to write some more code, we will definitely get one code written, after that we will do this
[09:50:39] We will sum up the class completely. What are we going to get done? We can get any work done.
[09:50:43] We have been unsuccessful but now we have to be successful. So here I
[09:50:49] have data and I want the male data to remain here.
[09:50:53] A separate sheet should be made for female data. Or the male and female data should be separate. Or this sheet should remain as it is.
[09:50:58] Basically, I want to separate the male and female data. So for this thing, I
[09:51:03] want to get a code written. The name of my book is Book Five and there is a sheet one. So let me get it
[09:51:07] written. We will get it written here in the same way as we have been doing it.
[09:51:12] And we will write it here. I have a workbook named Book Five.
[09:51:26] There is a sheet in it.
[09:51:34] Sheet One. Sheet One.
[09:51:41] Tell it a little from where to where the data is written in sheet one.
[09:51:47] It will analyse it. Still, if you tell it a little, it will be better. Data is written from A1 to M21.
[09:51:54] In which gender is
[09:52:01] written in the D column . 21 Okay
[09:52:06] , the data is written in the sheet from A1 to M2,
[09:52:18] in which the D column, the gender
[09:52:28] is written as Male,
[09:52:34] Female. Now give me a code
[09:52:41] so that the female data goes to a separate sheet
[09:52:50] and the male data comes in a separate sheet.
[09:53:00] Let's see basically, I think I should have given a little more instruction but let
[09:53:07] 's see, this method has to be pasted inside the module, this method which I was telling you,
[09:53:12] I will copy it later, not now, for once, so I copy it,
[09:53:19] go to my sheet here, after going to the sheet, I go to the view code there,
[09:53:23] after going to the view code, go to insert, insert the module, I paste it here,
[09:53:27] after pasting I run it, after running, my female data
[09:53:33] has come here and the male data has come here, I can cross it directly,
[09:53:36] I don't need to do anything else, so see, in this way it has separated it,
[09:53:41] so we can get any code written here, now I need further
[09:53:48] in the same sheet, if I go on the basis of yes and no, now I have to go further
[09:53:54] in this sheet, yes and
[09:53:58] no, in this sheet, where is the data written, it is written in M
[09:54:05] columns, it may be
[09:54:10] a little difficult for him to do this, what is written
[09:54:13] in M column, what is written yes and
[09:54:21] no on the basis of that, by separating it Give me
[09:54:29] the VBA code to create a separate sheet for Yes and a separate sheet for No.
[09:54:39] We will create another module and we will add this inside it. So now we will
[09:54:45] add people and other things
[09:54:49] . Okay, let us write it completely and then copy it
[09:54:52] because I don't want any mistake now. And then we will go into it again.
[09:55:00] Where do we have to do it? We can go here. And we will insert the module from here.
[09:55:05] After inserting the module, we will paste it in it. And we
[09:55:09] will run it. And after running it, the No has been separated. The Yes has come separately. And see,
[09:55:16] all the Yes ones have come inside Yes. It doesn't matter whether it is male or female.
[09:55:22] The No ones have come inside No. But now I want
[09:55:29] the data in the same workbook in such a way
[09:55:39] that Yes, Yes and
[09:55:45] female come in one sheet
[09:55:50] and No and male come together in one sheet.
[09:55:59] So write the VBA code for it and give it. Now see, it will write it in this way and give it.
[09:56:09] The combined condition is given. Gender No in the male sheet. Yes in the female sheet.
[09:56:20] Okay, did he understand this or not? You will understand after running the code. So let's
[09:56:26] try it, but we will run it here only. View code and
[09:56:31] from here we inserted the module, insert the module, paste it and run it.
[09:56:37] If you forget to run it, it will not run. And cross OK. So see, in mail,
[09:56:45] there will be only one mail in No. In mail, if I
[09:56:50] do this with Control Shift L here, we will take the mail data from here. OK
[09:56:57] and in No, there was only one OK in female, in Yes, see, all the females that were there have come. So
[09:57:03] it means that it works correctly. In this way, you can also write any VBA code for yourself.
[09:57:08] Whenever you get a situation for which you do not have a session,
[09:57:11] then its session is here. You can get that work done in this way. The one that was there earlier
[09:57:16] did not work because it was a current event. So there
[09:57:20] was a little issue there. So, we will try our best to provide a session for that also soon. But I
[09:57:25] am still not removing that part because I Literally I
[09:57:29] wanted to give you the experience of what we actually feel when we work,
[09:57:34] how we face problems, so you should see that thing and
[09:57:39] how to deal with it, I am continuously working, it is not like that we
[09:57:42] have taken any gap in between, you can check the timing here, so
[09:57:48] you should know how to tackle that thing, that situation, and at the same time, whenever we
[09:57:52] do what, we see someone doing some work and that work gets done in one go,
[09:57:57] okay, then we get demotivated when our own
[09:58:01] work is not done that I can't do it, they did it in one go and it's done, it
[09:58:04] doesn't happen like this, okay, whatever all these things are, they all take time, so now we
[09:58:10] have completed the VBA project here as well, so
[09:58:15] if you have come till here in the video, then I can definitely say that now you
[09:58:18] have learnt Excel very well and that too the advanced one, but now Also, if I may say, a little
[09:58:23] scope still remains there that if you want to become a pro,
[09:58:28] suppose you want to do data modelling, want to use Dex formulas,
[09:58:32] want to do Power Pivot, want to use Power Query in more detail with the real life data,
[09:58:38] that is, in short, if I talk about part three,
[09:58:43] then for this we can keep a target of 1000 comments. If we get that many comments,
[09:58:50] So I will definitely bring the third part for all of you, it
[09:58:55] will require a lot of RAD, a lot of hard work, a lot of work, so quickly
[09:58:59] comment and thank you, thank you, thank you so much for the massive support
[09:59:04] that you guys showed in part one, it was very good, so thank you so much for
[09:59:09] that and if you want all the sheets used in this because
[09:59:14] you have a lot of confusion in it, I have cleared that confusion also, all
[09:59:19] the steps will be written inside the description, through which steps you go and you
[09:59:23] will get all your sheets, so go quickly check the description, there is a store of information there
[09:59:27] and yes, if you want part three, where you want to do all the tools used
[09:59:32] in data modeling, data analytics, then quickly
[09:59:36] tell me in the comment section and apart from this, yes, giving feedback is also important, so let's meet then, if we
[09:59:40] meet, part three