All language subtitles for 1. Creating a Pivot Chart

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These are the user uploaded subtitles that are being translated: 1 00:00:04,960 --> 00:00:10,600 In this section of the course, we're going to shift our focus from pivot tables to pivot charts because 2 00:00:10,900 --> 00:00:13,720 these two really do go hand in hand. 3 00:00:13,960 --> 00:00:19,870 A lot of the time, once you've created a pivot table to analyze your data, you're going to want to 4 00:00:19,870 --> 00:00:24,100 present that data visually using a pivot charts. 5 00:00:24,400 --> 00:00:27,310 As we know, a picture speaks a thousand words. 6 00:00:27,610 --> 00:00:33,820 And sometimes it's a lot easier to make sense of data when it's displayed in a chart. 7 00:00:34,060 --> 00:00:39,190 Now I will say, when you're thinking about putting together a chart, you really need to consider the 8 00:00:39,190 --> 00:00:44,320 data that you want to display and only display the data that is relevant. 9 00:00:44,530 --> 00:00:47,560 And not all charts are created equally. 10 00:00:47,770 --> 00:00:54,260 For example, something like a pie chart or a donut chart tends to work better for smaller datasets. 11 00:00:54,490 --> 00:01:01,660 Whereas if you have time based data, which we do here, we're looking at values over two years, 2018 12 00:01:01,660 --> 00:01:02,860 and 2019. 13 00:01:03,220 --> 00:01:06,880 These in general are best displayed with something like a line charts. 14 00:01:07,090 --> 00:01:13,030 Now, currently, if I want to put the data that I have in this pivot table into a chart, my chart 15 00:01:13,030 --> 00:01:14,950 is going to be quite chaotic looking. 16 00:01:15,490 --> 00:01:21,100 So let's take a look at that, first of all, and then we'll explore better ways of working with pivot 17 00:01:21,100 --> 00:01:21,580 charts. 18 00:01:21,880 --> 00:01:25,270 So once you've created your pivot table, simply click in it. 19 00:01:25,270 --> 00:01:30,760 Go up to the pivot table, analyze ribbon and over in the tools group, we have a pivot chart button. 20 00:01:31,000 --> 00:01:34,540 And this is going to open up the insert chart dialog box. 21 00:01:35,110 --> 00:01:38,620 And there are many, many different chart types in Excel. 22 00:01:38,800 --> 00:01:44,710 And these chart types are divided down into different categories, and each category has many different 23 00:01:44,710 --> 00:01:47,650 iterations of that style of chart. 24 00:01:48,660 --> 00:01:53,910 Now, if you click on one of these categories and you get a message like this, it means that based 25 00:01:53,910 --> 00:01:57,720 on your data, Excel can't produce this type of chart. 26 00:01:57,990 --> 00:02:03,340 Now, as I said, this isn't ideal information because it is time based data. 27 00:02:03,360 --> 00:02:07,410 If I go to line chart and just selects to insert one of those. 28 00:02:08,130 --> 00:02:09,600 Take a look at what we get now. 29 00:02:09,610 --> 00:02:11,100 I'm going to drag this out. 30 00:02:12,390 --> 00:02:16,740 It's doing a pretty good job of displaying it, but take a look at what we've got down here. 31 00:02:16,740 --> 00:02:22,170 We kind of have it split down premium luxury standard, premium luxury standard, so on and so forth. 32 00:02:22,690 --> 00:02:28,110 And because I have quite a bit of data, it means that this chart ends up being quite wide in order 33 00:02:28,110 --> 00:02:29,850 to display this effectively. 34 00:02:30,090 --> 00:02:32,670 I would really need to stretch this out quite far. 35 00:02:33,060 --> 00:02:38,820 I couldn't have it sort of like that on the page because then no one can see the information clearly. 36 00:02:38,970 --> 00:02:43,480 Now I could very well just make it wider and display it like that. 37 00:02:43,500 --> 00:02:49,410 That isn't too much of a problem in this case, but I might want to take a look at the data that I'm 38 00:02:49,410 --> 00:02:54,060 choosing to display and refine my data before putting it into a chart. 39 00:02:54,180 --> 00:02:57,450 So let's delete out the chart, just pressing delete on my keyboard. 40 00:02:57,720 --> 00:03:01,860 Maybe I look at this data and I think to myself, You know what, actually, I'm going to rearrange 41 00:03:01,860 --> 00:03:02,610 this a little bit. 42 00:03:02,850 --> 00:03:10,230 So maybe I want to present a chart to some key stakeholders, and they're only really interested in 43 00:03:10,230 --> 00:03:13,800 seeing the gross sales per country by year. 44 00:03:13,980 --> 00:03:17,040 They're not really interested in the breakdown of the products. 45 00:03:17,760 --> 00:03:19,950 So I'm going to make some changes to my pivot table. 46 00:03:20,100 --> 00:03:27,000 I'm going to remove the product field and I'm also going to remove the range field as well. 47 00:03:27,180 --> 00:03:34,590 So now I'm simply left with a list of countries and the years, and this is a much more manageable dataset 48 00:03:34,590 --> 00:03:36,180 to put into a chart. 49 00:03:37,020 --> 00:03:42,630 So now if I go back to pivot table, analyze and click on pivot charts, I could choose something like 50 00:03:42,630 --> 00:03:43,650 a column chart. 51 00:03:43,650 --> 00:03:47,400 Or maybe I want to go back to a line chart and display it in that way. 52 00:03:47,430 --> 00:03:52,770 Now, I think in this case, I'm going to choose a column chart and click on, OK, now what about if 53 00:03:52,770 --> 00:03:55,650 I have my data organized in a different way again? 54 00:03:55,650 --> 00:03:57,390 So let's delete out this chart. 55 00:03:58,140 --> 00:04:01,200 What I'm going to do here is we're going to remove year. 56 00:04:02,070 --> 00:04:08,400 I'm going to drag country into columns, and this time I'm going to drag Monk's name down into rows. 57 00:04:08,670 --> 00:04:15,990 Now it might be that I'm only interested in displaying the top five months, so the top five months 58 00:04:15,990 --> 00:04:17,760 with the most gross sales. 59 00:04:18,000 --> 00:04:21,690 So what we can do here is we can right click and we can apply a filter. 60 00:04:22,480 --> 00:04:26,460 If we go down to filter, I have a top 10 filter in here. 61 00:04:27,270 --> 00:04:32,610 So if I'm only interested in the top five by gross sales, I can take this down to five. 62 00:04:33,120 --> 00:04:35,700 I can see items by total gross sales. 63 00:04:36,210 --> 00:04:41,160 Click on OK, and now I can put this data into a pivot chart. 64 00:04:41,820 --> 00:04:47,970 Let's go to analyze pivot charts, and this time I'm going to go for line charts, clicking OK. 65 00:04:48,240 --> 00:04:51,450 And I have my data represented in a different way. 66 00:04:51,600 --> 00:04:56,160 So the point I'm really trying to make here when you're thinking about putting your data into a pivot 67 00:04:56,160 --> 00:05:02,040 chart, is not only think about what is important to display in the chart, but also think about what 68 00:05:02,040 --> 00:05:04,410 is the most appropriate chart type. 7225

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