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These are the user uploaded subtitles that are being translated: 1 00:00:06,170 --> 00:00:11,870 So we're now at the stage where we can start building out our pivot table reports and the way that you 2 00:00:11,870 --> 00:00:16,500 build your rapport really depends on the type of analysis that you want to do. 3 00:00:16,520 --> 00:00:19,370 So what information are you interested in? 4 00:00:20,000 --> 00:00:25,940 Is this something that you're going to need to present to your managers or maybe key stakeholders? 5 00:00:26,330 --> 00:00:28,880 What information are they most interested in? 6 00:00:29,630 --> 00:00:38,030 Maybe they want to see a breakdown of the sales by country, or maybe the profit by country and product. 7 00:00:38,270 --> 00:00:42,560 Or maybe they want to see what the costs are broken down by month or by year. 8 00:00:43,010 --> 00:00:48,680 So it's really important to work out what exactly is that you're trying to extract from your data before 9 00:00:48,680 --> 00:00:50,120 putting your pivot table together. 10 00:00:50,600 --> 00:00:54,650 And the thing with pivot tables is that they're very easy to change. 11 00:00:55,130 --> 00:01:01,010 So if you get the analysis a bit wrong, first of all, it's very easy to remove the analysis that you've 12 00:01:01,010 --> 00:01:02,870 done and do a different one. 13 00:01:03,590 --> 00:01:08,810 So let's take a look at pivot table fields and how we can add fields to our pivot table. 14 00:01:09,740 --> 00:01:14,450 So as we mentioned at the end of the previous lesson, on the right hand side, we have a pivot table 15 00:01:14,450 --> 00:01:20,750 feels pain, and in this pain, we have all of the column headings from our source data. 16 00:01:21,620 --> 00:01:27,470 And then underneath we have these four little blank areas filters, columns, rows and values. 17 00:01:28,160 --> 00:01:34,490 And the idea with pivot tables is that you take one or more of these fields drag and drop them down 18 00:01:34,490 --> 00:01:37,190 into these different areas to build your report. 19 00:01:38,030 --> 00:01:40,430 So let's start out with something really simple. 20 00:01:41,150 --> 00:01:46,340 I'm going to grab the country failed and I'm going to drag and drop this down into the rose area. 21 00:01:47,090 --> 00:01:49,790 Now, when I let go, take a look at what happens. 22 00:01:50,300 --> 00:01:56,450 Notice now that I have all of those countries, a unique list of the countries in the rows. 23 00:01:56,930 --> 00:02:02,570 If I was to put this country filled in the columns area instead, well, like that I'm going to get 24 00:02:02,570 --> 00:02:04,850 my countries running across in the columns. 25 00:02:05,420 --> 00:02:13,250 Now I'm going to put this back into rows, so maybe I want to see a breakdown of the gross sales by 26 00:02:13,250 --> 00:02:13,850 country. 27 00:02:14,510 --> 00:02:20,420 Well, all I need to do is grab the gross sales field and drop that into the values area. 28 00:02:21,200 --> 00:02:23,250 And now I can see that breakdown. 29 00:02:23,270 --> 00:02:25,040 So simple, so quick. 30 00:02:25,370 --> 00:02:26,390 What about if I decide? 31 00:02:26,390 --> 00:02:27,740 Actually, you know what? 32 00:02:27,740 --> 00:02:30,560 I don't want to see the gross sales by country. 33 00:02:30,770 --> 00:02:33,380 I want to see the profit by country instead. 34 00:02:34,160 --> 00:02:39,830 Well, we can remove the sum of gross sales by simply clicking on it and dragging it outside of that 35 00:02:39,830 --> 00:02:41,360 pivot table fields area. 36 00:02:42,200 --> 00:02:46,640 I can then grab profit and drop that down into values instead. 37 00:02:47,420 --> 00:02:49,760 Now, notice here that we don't really have any formatting. 38 00:02:49,760 --> 00:02:50,950 Apply to these numbers. 39 00:02:50,960 --> 00:02:54,000 We are going to deal with that a bit later on at the moment. 40 00:02:54,020 --> 00:02:58,160 I just want you to understand the concept of adding fields and pivoting them. 41 00:02:58,520 --> 00:03:04,040 Also notice that when I dragged profit into values, it automatically did a some aggregation. 42 00:03:04,310 --> 00:03:06,080 And again, this is something you can change. 43 00:03:06,080 --> 00:03:11,900 If you wanted to do a count or an average or a men or a max, you could do that instead of some. 44 00:03:12,380 --> 00:03:18,590 And in general, depending on what field you've dragged into, the values area Excel will aggregate 45 00:03:18,590 --> 00:03:21,650 in the way it sees best for the data that you've tracked. 46 00:03:22,070 --> 00:03:23,570 So sometimes that will be account. 47 00:03:23,580 --> 00:03:29,480 Sometimes that will be a sum because we've got currency values here, monetary values, it's doing a 48 00:03:29,480 --> 00:03:30,710 some of the profit. 49 00:03:30,980 --> 00:03:33,220 So now we have the sum of profit by country. 50 00:03:33,230 --> 00:03:36,470 What about if I want to add in a third dimension? 51 00:03:37,250 --> 00:03:42,890 Well, what I could do here is maybe grab the product field and drag that down into columns. 52 00:03:43,820 --> 00:03:49,910 So now I'm seeing the products listed across the top, the countries, and then I've got the grand total 53 00:03:50,090 --> 00:03:52,400 for both the products and the countries. 54 00:03:53,180 --> 00:03:56,310 Now this grand total has been assigned automatically. 55 00:03:56,330 --> 00:04:01,790 Again, this is something you can turn off if you don't need the grand total now, you don't necessarily 56 00:04:01,790 --> 00:04:05,000 just have to have one field per area down here. 57 00:04:05,240 --> 00:04:09,770 You can stack multiple fields in one area to get a completely different layout. 58 00:04:10,460 --> 00:04:17,870 For example, I could grab product from columns and drop it above country in rows and take a look at 59 00:04:17,870 --> 00:04:19,430 how that changes my layout. 60 00:04:20,000 --> 00:04:25,220 I now have the product at the top and then all of the countries with the sum of profit. 61 00:04:26,090 --> 00:04:30,350 If I grab country and move that above product, it switches it around. 62 00:04:30,350 --> 00:04:37,910 So now I'm summarizing by country and then by product, I could see both the sum of profit and the gross 63 00:04:37,910 --> 00:04:42,680 sales if I wanted to, so I could just grab gross sales and drag that into values as well. 64 00:04:42,920 --> 00:04:44,570 And I'm going to get another column. 65 00:04:44,930 --> 00:04:48,890 And the final area that we haven't really looked at here is this filter's area. 66 00:04:49,490 --> 00:04:54,860 So maybe I want to be able to filter all of this information by year. 67 00:04:55,460 --> 00:05:00,170 So I'm going to grab here and drop that into filters, and that means I get this little filter drop 68 00:05:00,180 --> 00:05:05,600 down at the top and I can select which ever year I'm interested in and all of the data will up to. 69 00:05:06,560 --> 00:05:09,290 So that is basically how a pivot table works. 70 00:05:09,590 --> 00:05:11,540 It is very straightforward. 71 00:05:11,780 --> 00:05:16,460 But for some reason, there seems to be this idea out there that pivot tables are quite difficult. 72 00:05:16,970 --> 00:05:20,430 But when you break it down in this way, it does make a lot of sense. 73 00:05:20,450 --> 00:05:21,920 It's really logical. 74 00:05:22,250 --> 00:05:24,710 And as I said, if you make a mistake, it's not a problem. 75 00:05:24,710 --> 00:05:30,980 You can simply drag any of these fields out of the fields area and redo your analysis. 7916

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