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These are the user uploaded subtitles that are being translated: 1 00:00:05,060 --> 00:00:08,870 Welcome to this section on Power BI and working with Excel. 2 00:00:09,020 --> 00:00:14,840 So no matter how well Power BI may meet your requirements, often you may well feel that you would want 3 00:00:14,840 --> 00:00:15,920 to work with Excel. 4 00:00:15,980 --> 00:00:21,200 Excel has got a tremendous amount of tools and capabilities that really are great for working with data 5 00:00:21,200 --> 00:00:24,710 as well, and sometimes you just may find that things are easier in Excel. 6 00:00:24,740 --> 00:00:28,820 So what we're going to explore in this section is just basically some of the ways that Power BI and 7 00:00:28,820 --> 00:00:30,350 Excel can work together. 8 00:00:30,650 --> 00:00:36,320 I'm going to take you through what currently is working with Power BI, but this is an area that Microsoft 9 00:00:36,320 --> 00:00:38,780 continually evolves and changes and updates. 10 00:00:38,780 --> 00:00:43,910 So you may find that they, as you go through in time, that things do update in this area. 11 00:00:43,940 --> 00:00:48,080 Now what I have done is I've gone back to my data model example. 12 00:00:48,080 --> 00:00:52,490 So you might remember earlier on in the course we created all of this data. 13 00:00:52,490 --> 00:00:56,900 So we had a whole bunch of measures and calculated columns that we created. 14 00:00:57,170 --> 00:01:00,170 So let's just have a look at some of the data just to refresh our memory. 15 00:01:00,170 --> 00:01:01,800 So I'm going to create a table. 16 00:01:01,800 --> 00:01:06,480 And you may remember that I used the subregion, which kind of gave me a list of countries that we've 17 00:01:06,480 --> 00:01:10,120 got, and then we had some different fields that we were working with. 18 00:01:10,140 --> 00:01:13,560 So, for example, we had our total sales, we had our total profit. 19 00:01:13,590 --> 00:01:16,080 We were able to work with a profit ratio. 20 00:01:16,230 --> 00:01:17,910 You may remember those figures. 21 00:01:17,940 --> 00:01:22,920 We had things as well, such as the number of customers we had, what was our highest sale, and if 22 00:01:22,920 --> 00:01:25,360 I've got a couple of averages, average sale. 23 00:01:25,380 --> 00:01:26,780 Average sale per customer. 24 00:01:26,790 --> 00:01:29,710 So we had quite a bit of data that had been calculated. 25 00:01:29,730 --> 00:01:34,320 What we're going to do in this example, though, is we're going to see how we could work with Excel 26 00:01:34,320 --> 00:01:35,060 from this. 27 00:01:35,070 --> 00:01:39,620 And the first part of this is I need to actually publish this into the power BI service. 28 00:01:39,630 --> 00:01:43,470 You're going to see that when we work with Excel, we're going to use the Power BI service to help us. 29 00:01:43,470 --> 00:01:45,170 So I'm going to start off with this report. 30 00:01:45,180 --> 00:01:47,880 It's just a very simple table, but we're going to publish it. 31 00:01:47,880 --> 00:01:52,950 And you remember the first part that we need to do with our data model is actually we need to save this. 32 00:01:52,950 --> 00:01:55,470 So what I'm going to do is I'm going to just save this. 33 00:01:55,470 --> 00:01:57,000 So please just go into your file. 34 00:01:57,010 --> 00:01:58,320 Just going to save. 35 00:01:58,350 --> 00:01:59,550 You can see this one here. 36 00:01:59,550 --> 00:02:03,810 I've called data model, but you can give it whatever name you want to, so I'm just going to click 37 00:02:03,810 --> 00:02:05,310 on the save button on that. 38 00:02:05,550 --> 00:02:08,490 So once you've saved this, this is going to be the name of the report. 39 00:02:08,520 --> 00:02:11,160 The next part that we're going to do is we're going to publish. 40 00:02:11,250 --> 00:02:13,110 So we're going to select our publish button. 41 00:02:13,110 --> 00:02:16,860 And you remember from earlier on in the course, we had different workspaces. 42 00:02:16,890 --> 00:02:21,390 Now for me, I'm going to use the training workspace, but you can use the my workspace if you want 43 00:02:21,390 --> 00:02:23,460 to, but I'm going to put it into training. 44 00:02:23,460 --> 00:02:26,490 So we're going to select training and I'm going to click on the select button. 45 00:02:26,760 --> 00:02:26,970 Okay. 46 00:02:26,970 --> 00:02:32,400 So you'll see that that now starts to publish up to the power BI service and it should succeed quite 47 00:02:32,400 --> 00:02:32,850 quickly. 48 00:02:33,330 --> 00:02:33,930 Okay, there we go. 49 00:02:33,930 --> 00:02:34,920 We got success. 50 00:02:34,920 --> 00:02:37,020 So we're going to go into the power BI service. 51 00:02:37,020 --> 00:02:38,790 I'm going to bring up my browser. 52 00:02:39,030 --> 00:02:39,360 Okay. 53 00:02:39,360 --> 00:02:41,100 So we're back in the power BI service. 54 00:02:41,100 --> 00:02:43,980 I'm on the home screen, so I'm going to go down to my workspaces. 55 00:02:43,980 --> 00:02:47,040 If you published into the my workspace, please choose that one. 56 00:02:47,040 --> 00:02:53,100 I'm just going to go to my training one and you can see now that I do have my data model, I've got 57 00:02:53,100 --> 00:02:56,240 the data set and I do also have the little report. 58 00:02:56,250 --> 00:03:00,780 So what I'm going to do is I'm going to open up the report and you should see that table that we've 59 00:03:00,780 --> 00:03:02,910 just created being shown at the time. 60 00:03:03,060 --> 00:03:03,900 So there we go. 61 00:03:03,900 --> 00:03:05,610 We've now got this information. 62 00:03:05,730 --> 00:03:10,020 And what you will see is that there's some different options that we can use in terms of being able 63 00:03:10,020 --> 00:03:11,810 to analyze this with Excel. 64 00:03:11,820 --> 00:03:17,280 So the first one that I want to show you is that we've got on the export is that you've got an analyze 65 00:03:17,280 --> 00:03:18,630 in Excel option. 66 00:03:18,630 --> 00:03:19,740 So we're going to select that. 67 00:03:19,740 --> 00:03:24,420 And what it's going to do is it's going to open up the online Excel and it's going to create a connection 68 00:03:24,420 --> 00:03:26,700 to this underlying Power BI dataset. 69 00:03:26,970 --> 00:03:31,290 It's then going to allow us to use pivot tables to be able to create our reports. 70 00:03:31,380 --> 00:03:37,440 So let's choose that analyze in Excel and it's going to tell us creating the Excel file and do we want 71 00:03:37,440 --> 00:03:39,420 to open in Excel for the Web? 72 00:03:39,420 --> 00:03:42,000 So we're going to select that and we're going to allow that to happen. 73 00:03:42,480 --> 00:03:42,750 Okay. 74 00:03:42,750 --> 00:03:46,170 You may get a couple of dialogs that you need to just get through. 75 00:03:46,170 --> 00:03:46,410 Click. 76 00:03:46,410 --> 00:03:48,180 Yes, you're going to allow this to happen. 77 00:03:48,180 --> 00:03:53,730 And then you can see now that our pivot table fields are now available and we've got a traditional pivot 78 00:03:53,760 --> 00:03:54,420 table. 79 00:03:54,720 --> 00:03:58,170 Now, if you're not familiar with pivot tables, there really are great technology. 80 00:03:58,170 --> 00:04:02,550 Basically, they work like rows, columns, values, very similar to the matrix that we did earlier 81 00:04:02,550 --> 00:04:03,420 on in the course. 82 00:04:03,420 --> 00:04:06,930 So let's say, for example, I wanted to see a list of all my customers. 83 00:04:06,960 --> 00:04:11,190 You could just click on the customers and you'll see they'll go into my rows and now my Excel. 84 00:04:11,220 --> 00:04:13,590 I've got actually a list of all my customers. 85 00:04:13,680 --> 00:04:19,500 Let's say I wanted to see a list of all the sales that are for my customers. 86 00:04:19,529 --> 00:04:26,190 Now, if I go down to my sales and I select my sales and I try and drag it, if I go to the values, 87 00:04:26,190 --> 00:04:31,110 you see that if I drop it there, it says it cannot be placed in that area of the report. 88 00:04:31,350 --> 00:04:37,350 Now, the reason for that is your numeric fields that are a part of your data actually cannot be used 89 00:04:37,350 --> 00:04:38,480 in pivot tables. 90 00:04:38,490 --> 00:04:42,630 The only fields that can be used in pivot tables are actually your measures. 91 00:04:42,630 --> 00:04:48,030 And this is part of the reason why I went back to actually using this this data set, because we created 92 00:04:48,030 --> 00:04:50,220 quite a lot of measures when we were going through this. 93 00:04:50,400 --> 00:04:54,210 But please note, that's that's one of the limitations here, is that when you're working with pivot 94 00:04:54,240 --> 00:04:56,970 tables, you have to be able to use measures. 95 00:04:56,970 --> 00:04:59,580 If I choose measures, you're going to see this actually works perfectly. 96 00:04:59,580 --> 00:05:00,030 I can use my. 97 00:05:00,050 --> 00:05:04,700 Total sales, total profit and give my profit ratio. 98 00:05:05,240 --> 00:05:07,100 And get my lowest sale for that customer. 99 00:05:07,100 --> 00:05:08,000 Highest sale. 100 00:05:08,000 --> 00:05:10,730 And you can see that my pivot table now builds up. 101 00:05:11,060 --> 00:05:12,920 Now, please note as well, this is dynamic. 102 00:05:12,920 --> 00:05:19,370 So when you refresh this using your pivot table, you will see that you will actually get new information 103 00:05:19,370 --> 00:05:20,870 as as it comes along. 104 00:05:20,870 --> 00:05:25,220 So you can go along to your refresh and choose your refresh options for this. 105 00:05:25,220 --> 00:05:30,920 But this is one of the limitations that you do have, is that you do need to use measures for this. 106 00:05:30,920 --> 00:05:35,150 You cannot actually use the actual data field that is in the reports. 107 00:05:35,150 --> 00:05:38,510 So just be aware of that as a limitation. 108 00:05:44,260 --> 00:05:48,370 I just wanted to do a quick update on the Analyze with Excel feature. 109 00:05:48,370 --> 00:05:52,660 So you've just seen in the lesson that we were not able to use the numeric fields that were part of 110 00:05:52,660 --> 00:05:53,300 the table. 111 00:05:53,320 --> 00:05:54,820 However, that's now changed. 112 00:05:54,820 --> 00:05:59,470 So if you look at the table now, you'll see that all our measures have actually now been included into 113 00:05:59,470 --> 00:06:00,640 the actual data table. 114 00:06:00,640 --> 00:06:05,230 Whereas with part of the lesson you saw previously, you would have seen that it had its own table called 115 00:06:05,230 --> 00:06:05,890 measures. 116 00:06:05,890 --> 00:06:09,850 And now if we use these numeric fields, let's just grab our customer again. 117 00:06:09,890 --> 00:06:11,500 Let's pop the customer into our rows. 118 00:06:11,500 --> 00:06:13,450 Let's say we want to know the total sales. 119 00:06:13,450 --> 00:06:18,790 You'll see now that the sum of the sales will actually work if we use our profit, for example. 120 00:06:18,910 --> 00:06:23,860 Also, let's say, for example, we wanted to see our average profit, for example, just pop in the 121 00:06:23,890 --> 00:06:27,490 sum of sales to there and I can go across to my pivot table. 122 00:06:27,520 --> 00:06:32,940 I could say summarize values, go to my averages and you'll see then that that would recalculate. 123 00:06:32,950 --> 00:06:35,290 So just a quick little update just to show you. 124 00:06:35,290 --> 00:06:40,570 You can now actually use those numeric fields in your pivot table, which I think can make a huge difference 125 00:06:40,570 --> 00:06:42,880 to your analysis when you're working with Excel. 126 00:06:42,970 --> 00:06:43,110 Okay. 127 00:06:43,120 --> 00:06:44,660 We're going to continue the lesson. 128 00:06:45,140 --> 00:06:51,170 Now, the next example that I want to look at is the ability to be able to output your table as data 129 00:06:51,170 --> 00:06:53,000 that you can work with in Excel. 130 00:06:53,030 --> 00:06:57,890 Now what you've got is if you go to the three ellipses, you'll see that there's more options. 131 00:06:57,890 --> 00:07:01,760 And one of the options you've got is the ability to be able to export your data. 132 00:07:01,760 --> 00:07:06,080 So when we select export data, you'll see that you get specific options. 133 00:07:06,080 --> 00:07:11,870 You can do your data with your current layout, or you could do summarize data or even look at the underlying 134 00:07:11,870 --> 00:07:12,530 data. 135 00:07:12,560 --> 00:07:17,390 Now you can see that this has been turned off by the report author because often the underlying data 136 00:07:17,390 --> 00:07:22,640 may have thousands and thousands of rows and they may not want you to be able to actually then export 137 00:07:22,640 --> 00:07:24,200 large amounts of quantity. 138 00:07:24,530 --> 00:07:28,310 So let's say, for example, we wanted to pick the summarize data. 139 00:07:28,580 --> 00:07:32,210 Now you can see down in the file format that we've got different options. 140 00:07:32,210 --> 00:07:38,310 So traditionally what we were able to do was we could export this to a CSV or we could export this to 141 00:07:38,310 --> 00:07:39,080 an Excel file. 142 00:07:39,200 --> 00:07:42,770 Now when you exported it, it then basically was exported. 143 00:07:42,770 --> 00:07:47,560 At that point in time, there was no live connection that allowed you to refresh this data. 144 00:07:47,570 --> 00:07:53,930 However, there's now a live connection option where you can now export your summarized data and then 145 00:07:53,930 --> 00:07:57,020 as the data changes, you can have it refreshed in your Excel. 146 00:07:57,050 --> 00:07:58,880 So let's have a look at an example of that. 147 00:07:58,880 --> 00:08:00,830 We're going to choose with the live connection. 148 00:08:00,830 --> 00:08:07,400 We're going to export this again to our Excel, and this will probably open up again our Excel. 149 00:08:07,400 --> 00:08:09,500 So we're going to choose that to say open. 150 00:08:26,410 --> 00:08:31,200 Okay, so my excel is now opened and you can see again, I'm getting some warnings about Protected view. 151 00:08:31,210 --> 00:08:32,350 I'm going to enable that. 152 00:08:32,350 --> 00:08:34,090 I'm going to enable the content. 153 00:08:34,090 --> 00:08:38,980 But basically we now have the data in our Excel. 154 00:08:39,400 --> 00:08:39,669 Okay? 155 00:08:39,669 --> 00:08:44,250 So if we look at this, what it's done is it's actually created an Excel table and you can see that 156 00:08:44,290 --> 00:08:49,330 I've got the name of my table, I've got the name of my field and I've actually got the data now that 157 00:08:49,330 --> 00:08:50,740 has been brought into this. 158 00:08:50,860 --> 00:08:56,290 You'll also see that you do get the ability to use your traditional Excel types of filters. 159 00:08:56,290 --> 00:08:59,680 So this is a proper Excel table that you're working with. 160 00:08:59,710 --> 00:09:01,210 You'll see that table design. 161 00:09:01,240 --> 00:09:06,160 I've got a table name and you can actually use this now, say in creating a pivot table. 162 00:09:06,160 --> 00:09:10,810 So if you said I wanted to insert a pivot table, say insert, pivot table from this because you're 163 00:09:10,810 --> 00:09:15,910 going to say from the table, and we could now say that we're going to include this into a pivot table 164 00:09:15,910 --> 00:09:16,450 itself. 165 00:09:16,450 --> 00:09:19,630 Obviously, you're just working with the rows of data that you do have. 166 00:09:19,630 --> 00:09:25,480 But if I go back in my sheet and I go back to this, you will see that with your table design, you're 167 00:09:25,480 --> 00:09:26,930 able to refresh this. 168 00:09:26,930 --> 00:09:31,730 And when you refresh it because it's got a live connection, any new updates should then be brought 169 00:09:31,730 --> 00:09:32,870 through into the table. 170 00:09:32,970 --> 00:09:37,700 At the time of putting this together, this is a relatively new feature, so please just be aware that 171 00:09:37,700 --> 00:09:38,990 things may change with this. 172 00:09:38,990 --> 00:09:43,520 And as I noted right at the beginning of the lessons, this area is something that Microsoft tends to 173 00:09:43,520 --> 00:09:44,660 play around with quite a lot. 174 00:09:44,660 --> 00:09:46,730 So you might find that it does change. 175 00:09:46,940 --> 00:09:47,870 But there we go. 176 00:09:47,870 --> 00:09:53,690 We've now got a table that has been created within Excel and we've even created a pivot table and we 177 00:09:53,690 --> 00:10:00,140 could say that we would want to see, for example, our countries see a number of customers or average 178 00:10:00,140 --> 00:10:02,540 sales, highest sale. 179 00:10:02,540 --> 00:10:03,410 And there we go. 180 00:10:03,410 --> 00:10:05,060 We've now created that pivot table. 181 00:10:05,060 --> 00:10:10,220 And one of the things here is because we're using a table within Excel, we don't have the limitations 182 00:10:10,220 --> 00:10:14,270 that we did with the other one where we were needing to use any measures. 183 00:10:14,270 --> 00:10:17,450 With this one here we can use any field that was exported. 184 00:10:17,450 --> 00:10:19,820 So just something to take into consideration. 185 00:10:20,440 --> 00:10:21,160 Okay, so there we go. 186 00:10:21,160 --> 00:10:25,300 There's a couple of options that you can use when you're analyzing your data with Excel. 187 00:10:25,330 --> 00:10:26,960 We're going to conclude the lesson there. 188 00:10:26,980 --> 00:10:28,060 I will see you in the next one. 18651

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