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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:05,670 --> 00:00:10,560 Pivot tables are the number one tool in Excel when it comes to analyzing data. 2 00:00:11,070 --> 00:00:16,920 So if you do a job role that requires you to analyze data on a regular basis, you're going to need 3 00:00:16,920 --> 00:00:18,690 to know how pivot tables work. 4 00:00:19,380 --> 00:00:21,120 So what is a pivot table? 5 00:00:21,830 --> 00:00:28,740 Well, it allows you to take a large dataset like the one we have open right now and extract meaning 6 00:00:28,740 --> 00:00:35,160 from it, because data when it's organized in this way in a series of columns and rows is orderly. 7 00:00:35,160 --> 00:00:39,000 But it's quite hard for us to see precise information. 8 00:00:39,780 --> 00:00:43,020 For example, in Column A, I have a list of countries. 9 00:00:43,590 --> 00:00:49,590 What if I just want to see what the gross sales are for each of those countries currently looking at 10 00:00:49,590 --> 00:00:50,370 my table? 11 00:00:50,550 --> 00:00:52,110 That's really hard for me to see. 12 00:00:52,380 --> 00:00:59,070 However, if I was to put this information into a pivot table, I can organize it in such a way that 13 00:00:59,070 --> 00:01:04,410 I can have the countries in one column and I can see the sum of the gross sales. 14 00:01:04,800 --> 00:01:08,640 And the cool thing about pivot tables is that they are completely dynamic. 15 00:01:09,240 --> 00:01:15,390 So if I finished analyzing this piece of data and I decide that I want to analyze my data in a different 16 00:01:15,390 --> 00:01:18,120 way, I can simply switch the fields around. 17 00:01:18,780 --> 00:01:24,060 So maybe I don't want to see this breakdown by country, but instead of by product. 18 00:01:24,390 --> 00:01:26,940 So it's a simple case of replacing the fields. 19 00:01:27,360 --> 00:01:31,800 So now I have my products listed out here and also the sum of gross sales. 20 00:01:32,160 --> 00:01:36,360 What about if I want to see this data by country and by product? 21 00:01:36,390 --> 00:01:38,370 Well, again, very straightforward. 22 00:01:38,490 --> 00:01:43,380 I can put country down into columns and I can summarize my data in an entirely different way. 23 00:01:44,040 --> 00:01:50,520 So pivot tables give you the flexibility by moving these fields around to really extract the information 24 00:01:50,520 --> 00:01:51,900 that you're interested in. 25 00:01:52,260 --> 00:01:56,250 And throughout this section, I'm going to show you how you can put together a pivot table. 26 00:01:56,550 --> 00:02:00,810 I'm going to give you some useful tips and tricks when you're constructing your pivot tables. 27 00:02:01,140 --> 00:02:07,320 And of course, we're going to delve deeper into the process of pivoting fields, formatting pivot table 28 00:02:07,320 --> 00:02:11,310 data and also sorting and filtering it using Slack. 3015

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