All language subtitles for 5. Exercise 09

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:05,010 --> 00:00:13,110 It's time now for us to do exercise nine and this exercise a little bit different to the other exercises 2 00:00:13,110 --> 00:00:20,880 in that there is no right or wrong answer, so I don't have an answer to show you because there are 3 00:00:20,910 --> 00:00:23,550 so many different ways that you can build a dashboard. 4 00:00:23,820 --> 00:00:27,810 I'm just going to leave it to you to have an experiment and a play around. 5 00:00:28,090 --> 00:00:34,470 Now, the dashboard that we created during the course was a reasonably complex one, using calculations. 6 00:00:34,640 --> 00:00:39,960 If you don't feel confident enough, or maybe you don't even have the time to create a dashboard with 7 00:00:39,960 --> 00:00:41,880 lots of complex calculations. 8 00:00:42,180 --> 00:00:47,820 You can just create a very simple dashboard using pivot tables and pivot charts. 9 00:00:48,420 --> 00:00:50,970 So it might be that you want to approach it in that way. 10 00:00:51,240 --> 00:00:53,970 So what I'm doing here is I'm giving you a starting point. 11 00:00:53,970 --> 00:01:01,560 So we have our data, it's in a table and we can go now and create different pivot tables, rearrange 12 00:01:01,560 --> 00:01:06,300 them in different ways and then create different pivot charts to represent different metrics. 13 00:01:06,570 --> 00:01:13,560 So maybe if you don't want to go down the calculations route, maybe create three or four or maybe even 14 00:01:13,560 --> 00:01:17,970 five different pivot charts based off of this pivot data. 15 00:01:18,090 --> 00:01:23,070 Maybe add some slices and connect those slices to the pivot charts. 16 00:01:23,340 --> 00:01:30,240 And remember, you can make your life a lot easier by copying the worksheet and simply rearranging the 17 00:01:30,240 --> 00:01:34,890 pivot table fields instead of creating a pivot table from scratch each time. 18 00:01:35,220 --> 00:01:41,130 Also, something to think about is your dashboard design, so you're going to want to create a new worksheet 19 00:01:41,130 --> 00:01:47,730 and call it dashboard and then kind of plots out or plan where you want your pivot chance to go and 20 00:01:47,730 --> 00:01:54,060 things like the overall color scheme, whether you want to add formatting or icons or pictures, things 21 00:01:54,060 --> 00:01:54,600 like that. 22 00:01:54,780 --> 00:02:00,420 So this exercise is really a good opportunity for you to just take a dataset, create lots of different 23 00:02:00,420 --> 00:02:07,140 pivot tables and pivot charts, analyze your data in different ways and then assemble a dashboard. 24 00:02:07,290 --> 00:02:12,980 It might be that you want to add some headline statistics at the top by linking to different cells. 25 00:02:12,990 --> 00:02:15,780 That's a fairly straightforward calculation to do. 26 00:02:15,930 --> 00:02:20,340 But really, I'm just going to leave this exercise open for you to have a play around. 27 00:02:20,610 --> 00:02:22,470 So I'm going to leave this with you. 28 00:02:22,920 --> 00:02:23,580 Good luck. 29 00:02:23,580 --> 00:02:26,790 I hope you create an absolutely amazing dashboard. 3315

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