All language subtitles for 015 Working with Dates_en

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These are the user uploaded subtitles that are being translated: 1 00:00:05,280 --> 00:00:06,270 In this next lesson. 2 00:00:06,270 --> 00:00:10,530 What I want to do is just spend a bit of time talking about dates and how we work with them in Power 3 00:00:10,530 --> 00:00:11,130 BI. 4 00:00:11,520 --> 00:00:15,360 So I'm just going to remove these visualizations from the previous lesson. 5 00:00:15,570 --> 00:00:18,430 So let's start off just with a simple table again. 6 00:00:18,480 --> 00:00:20,460 And let's move that over there. 7 00:00:20,850 --> 00:00:26,610 And what you'll notice is that when you brought your data into Power BI, it should have recognized 8 00:00:26,610 --> 00:00:28,920 that ordered data is actually a data field. 9 00:00:28,950 --> 00:00:31,350 And what it will do is it will give it a calendar. 10 00:00:31,680 --> 00:00:33,630 You'll see a little calendar icon next to it. 11 00:00:33,840 --> 00:00:38,100 Also, if you click on it, you should see then that it's a data type of date. 12 00:00:38,340 --> 00:00:43,440 And also you could change the format that this is displayed in if you want to, using your column tools. 13 00:00:44,260 --> 00:00:48,970 So hopefully that happened when you brought the data in that the audit data was actually seen as a data 14 00:00:48,970 --> 00:00:49,660 field. 15 00:00:49,960 --> 00:00:55,330 Now, if you move that into a table, what you'll actually see happens is that it actually creates a 16 00:00:55,330 --> 00:00:56,050 hierarchy. 17 00:00:56,410 --> 00:01:01,510 So you'll see that it automatically breaks this down into my year, my quota, my month, my day. 18 00:01:01,570 --> 00:01:04,959 So showing there's four different fields now in my table. 19 00:01:05,630 --> 00:01:08,810 If you want to see your sales value, you can add that into your table. 20 00:01:10,140 --> 00:01:10,610 Here we go. 21 00:01:10,620 --> 00:01:15,660 Now we've got each of those four different options for your hierarchy, for your date. 22 00:01:15,900 --> 00:01:20,700 What you can also see, though, is if you go to your dropdown, you can change this to be just a traditional 23 00:01:20,700 --> 00:01:21,020 date. 24 00:01:21,030 --> 00:01:26,100 So if you just said order date, now you'll see that it changes to one field and you've got a traditional 25 00:01:26,100 --> 00:01:27,510 date that you can use. 26 00:01:28,200 --> 00:01:33,540 So this hierarchy becomes very important when you're working with dates within Power BI because it gives 27 00:01:33,540 --> 00:01:38,490 you different ways of being able to aggregate your information and understand your data information. 28 00:01:38,760 --> 00:01:42,840 So over here we can see by each day what happened with ourselves. 29 00:01:42,840 --> 00:01:47,220 But what happened if we want to see for a specific year or for a specific month. 30 00:01:47,550 --> 00:01:50,310 So let's go back to looking at our data hierarchy. 31 00:01:50,700 --> 00:01:55,800 So if we go back and we actually pick our date hierarchy, so I'm just going to go down, you can see 32 00:01:55,800 --> 00:01:56,770 it's at the bottom here. 33 00:01:56,790 --> 00:02:00,750 So date hierarchy, it goes back to my year called Month day. 34 00:02:00,900 --> 00:02:04,500 Now you will see that there's a little X against each of these options. 35 00:02:04,500 --> 00:02:07,500 So if I don't want to show the day, I can actually remove it. 36 00:02:08,190 --> 00:02:13,200 Now you'll see that this is summarized by year, quarter, a month, and I'm now seeing the total sales 37 00:02:13,200 --> 00:02:14,730 for the summarization. 38 00:02:15,270 --> 00:02:18,900 So what I'm going to do is I'm actually going to remove the quota just to make this a little bit easier, 39 00:02:18,900 --> 00:02:22,740 because now we can see that we have a year and a month and we have our sales. 40 00:02:23,040 --> 00:02:26,490 So that's quite useful to be able to see your total sales by month. 41 00:02:26,910 --> 00:02:31,910 And you can see as well that this is incorrect chronological order, which is obviously quite convenient. 42 00:02:31,920 --> 00:02:33,540 Some systems don't get this right. 43 00:02:33,540 --> 00:02:38,180 It actually does it by alphabetical for your month and causes a bit of a problem. 44 00:02:38,190 --> 00:02:41,040 But as you can see, this is in your correct chronological order. 45 00:02:41,220 --> 00:02:45,660 Again, if I was to remove the month here, then you would see, then we would just then have the totals 46 00:02:45,660 --> 00:02:46,560 for our year. 47 00:02:47,190 --> 00:02:51,840 If you wanted to change this, you would have to now replace the actual field because we can't just 48 00:02:51,840 --> 00:02:52,410 add back. 49 00:02:52,410 --> 00:02:56,340 So if I want to take that out, I can just drop all the date back in again. 50 00:02:56,340 --> 00:02:59,730 And let's say we did actually want to see what's happening by year end quarter. 51 00:02:59,970 --> 00:03:05,430 Now I'd just go back and then just remove the day, remove the month, and now I could see by year on 52 00:03:05,430 --> 00:03:07,860 quarter what was happening by my sales. 53 00:03:08,100 --> 00:03:09,570 So really, really useful. 54 00:03:09,720 --> 00:03:15,360 So what I want to do is actually let's just move that across to one side and you're going to delete 55 00:03:15,360 --> 00:03:20,310 that one and we're going to look now at a matrix and what can happen with the matrix. 56 00:03:20,310 --> 00:03:21,960 So we're going to bring up a matrix. 57 00:03:21,960 --> 00:03:26,700 And as we've seen with the matrix, we're going to get the ability to work with our rows and columns. 58 00:03:27,150 --> 00:03:32,250 So let's say we drop an ordered data into our rows and let's say we drop an order date now into our 59 00:03:32,250 --> 00:03:32,940 columns. 60 00:03:33,300 --> 00:03:36,960 So you'll see that a lot of information would be displayed. 61 00:03:37,500 --> 00:03:38,970 And we've also got our cells. 62 00:03:40,560 --> 00:03:46,770 So we've got our sales and currently it is showing me by each of the years now it's not showing me currently 63 00:03:46,770 --> 00:03:49,560 the columns because I have too much data. 64 00:03:49,560 --> 00:03:53,580 So let's see with the columns, if we can bring this down a little bit, let's say we want to show the 65 00:03:53,580 --> 00:03:54,550 actual month. 66 00:03:54,570 --> 00:03:58,260 So I'm going to take out of here the day, I'm going to take out the quarter and I'm going to take out 67 00:03:58,260 --> 00:03:58,740 the year. 68 00:03:58,890 --> 00:04:00,400 So now we just got the month. 69 00:04:00,420 --> 00:04:04,980 Now you can see that it can show the amount of data and automatically what it's done. 70 00:04:05,010 --> 00:04:07,710 Let's see if we can widen this a little bit. 71 00:04:08,010 --> 00:04:08,700 There we go. 72 00:04:09,480 --> 00:04:14,440 We now have a view that is showing us by year and by month what has happened. 73 00:04:14,460 --> 00:04:19,680 So this is really your traditional management report that we often put together in Excel spreadsheets 74 00:04:19,680 --> 00:04:24,560 where we want to see by year and month exactly what's happened and what I could do as well. 75 00:04:24,570 --> 00:04:28,050 You can see that I do have the drill downs on here, but I probably wouldn't need them. 76 00:04:28,050 --> 00:04:34,050 So again, I can just remove these fields that I don't need and we just keep for example, here and 77 00:04:34,050 --> 00:04:34,620 there we go. 78 00:04:34,620 --> 00:04:35,580 We've got that. 79 00:04:36,030 --> 00:04:38,760 What you can do as well is you could see this from other dimensions. 80 00:04:38,760 --> 00:04:42,180 So you may want to see what happens by different regions. 81 00:04:42,180 --> 00:04:43,530 Let's actually use regions. 82 00:04:43,890 --> 00:04:48,600 If you pop up your regions and you'll see that you've got Asia, Europe, North America, you've got 83 00:04:48,600 --> 00:04:49,680 each of your months. 84 00:04:49,680 --> 00:04:55,800 And as we see in if we use this drill down, you will now actually drill down for each of your years 85 00:04:55,800 --> 00:05:01,590 so you can create a sort of complexity as you would want to by using these different options. 86 00:05:01,590 --> 00:05:07,650 So as you can see, the data can work as a hierarchy or it can also just work with ordered data itself. 87 00:05:08,520 --> 00:05:10,140 So we're going to conclude the lesson there. 88 00:05:10,140 --> 00:05:11,460 I will see you in the next one. 8965

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