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These are the user uploaded subtitles that are being translated: 1 00:00:05,340 --> 00:00:08,640 So in the previous lesson, we saw how we could use slices. 2 00:00:08,820 --> 00:00:12,540 I'm actually just going to delete these slices just to reset the data. 3 00:00:12,660 --> 00:00:17,880 But we did see that we were able to use text fields, we were able to use numeric fields, and we were 4 00:00:17,880 --> 00:00:24,240 able to use data fields to be able to easily filter the data that was being shown for all the visualizations. 5 00:00:24,510 --> 00:00:29,190 Now, the other type of filter that we can do is to be able to actually filter within a visualization 6 00:00:29,190 --> 00:00:29,860 itself. 7 00:00:29,880 --> 00:00:35,250 So this is really useful when you want to be able to take a specific visualization and you only want 8 00:00:35,250 --> 00:00:37,240 to show specific data within that. 9 00:00:37,260 --> 00:00:38,880 So let's look at some examples. 10 00:00:38,910 --> 00:00:42,570 I'm going to create a new page and we're going to go back to using our table. 11 00:00:42,780 --> 00:00:46,620 And what we're going to do is we're actually going to use our country and sales. 12 00:00:46,800 --> 00:00:49,470 So let's pop our country in sales into this. 13 00:00:49,770 --> 00:00:53,520 So we've got quite a few countries in here with varying amounts of sales. 14 00:00:53,850 --> 00:00:57,600 Now, what we are going to do is we're actually going to open up our filters box. 15 00:00:57,990 --> 00:01:04,349 So what happens here is that our visualization is selected and it actually now allows us to use the 16 00:01:04,349 --> 00:01:06,630 filters within this visualization. 17 00:01:06,990 --> 00:01:11,220 So you can see that the first part is that we've got the filters on this visualization. 18 00:01:11,220 --> 00:01:16,200 So your fields that are in the visualization are automatically added into this filters. 19 00:01:16,350 --> 00:01:18,180 So we currently got our countries. 20 00:01:18,180 --> 00:01:20,670 So let's have a look at this, expand this a little bit. 21 00:01:20,970 --> 00:01:23,640 And the first type of filtering we can do is basic filtering. 22 00:01:23,790 --> 00:01:28,620 So let's say, for example, you just wanted a list of specific countries you could just go through 23 00:01:28,650 --> 00:01:32,490 here and manually select then the countries that you want to choose. 24 00:01:32,670 --> 00:01:38,370 So basically, just like you would with an Excel filter, just basically come in here, select the countries, 25 00:01:38,370 --> 00:01:43,470 and you can see now that we now have our filtered list and it only shows us a total for those items 26 00:01:43,470 --> 00:01:44,620 that have been selected. 27 00:01:44,640 --> 00:01:48,030 So that's the first type of filter that you can do is basic filtering. 28 00:01:48,270 --> 00:01:52,230 The next type of filtering is the ability to be able to do advanced filtering. 29 00:01:52,380 --> 00:01:57,150 So let's say that we actually I'm going to just clear off previous one so you'll see that there's a 30 00:01:57,150 --> 00:01:58,880 little clear button filter. 31 00:01:58,890 --> 00:01:59,600 So there we go. 32 00:01:59,610 --> 00:02:04,920 We've got advanced filtering now, so basically we can say advanced filtering share items when the value 33 00:02:04,920 --> 00:02:09,180 is and you can say contain something starts with something is something is not. 34 00:02:09,300 --> 00:02:13,830 So let's say, for example, we want to find all the countries that start with the letter I. 35 00:02:13,920 --> 00:02:17,490 So I'm going to say it starts with and I'm going to say the letter I. 36 00:02:17,760 --> 00:02:22,140 Now, once I've got this, I can click on the apply filter button and you see straight away now we're 37 00:02:22,140 --> 00:02:24,960 showing that there's four countries that start with the letter I. 38 00:02:25,350 --> 00:02:30,180 Now, you may want to say, for example, combine this with other ones so you can use your end in or 39 00:02:30,180 --> 00:02:30,750 logic. 40 00:02:30,810 --> 00:02:37,950 So let's say or we want to find all countries that start with, say, a U, but a U in there and apply 41 00:02:37,950 --> 00:02:38,750 the filter. 42 00:02:38,760 --> 00:02:41,760 And you can see now that we've got two countries that start with you. 43 00:02:42,150 --> 00:02:46,410 So you can use this to for your advanced filtering when you want to be able to find something that starts 44 00:02:46,410 --> 00:02:51,180 with something, contain something, and you can see there's a bit more operators there as well, such 45 00:02:51,180 --> 00:02:55,770 as is not is blank, is not blank as well, depending on what you would want to filter. 46 00:02:55,950 --> 00:02:58,410 So that's the advanced filtering that you can use. 47 00:02:58,770 --> 00:03:00,150 Again, let's just clear this. 48 00:03:01,340 --> 00:03:04,430 And the last type of faltering is your top end filtering. 49 00:03:04,430 --> 00:03:09,860 So you may want to see, for example, the top ten countries or the bottom ten countries. 50 00:03:10,070 --> 00:03:14,000 So this is really useful when you're wanting a list and you just want to say, I want to see the top 51 00:03:14,000 --> 00:03:15,320 ten countries for this. 52 00:03:15,590 --> 00:03:21,590 So you say Top End and you'll see now that our filter would say to show items top or bottom, we go 53 00:03:21,590 --> 00:03:23,480 to this, see, top or bottom. 54 00:03:23,480 --> 00:03:25,880 So let's say we want the top ten countries. 55 00:03:26,860 --> 00:03:28,770 So I'm going to say top ten countries. 56 00:03:28,780 --> 00:03:31,320 Now, what it will ask you is by which value. 57 00:03:31,330 --> 00:03:34,960 So it does mean that you could use another value besides sales. 58 00:03:34,960 --> 00:03:37,510 So you could use profit, for example, if you wanted to. 59 00:03:37,510 --> 00:03:41,620 But I'm going to use sales because it just makes most sense to be able to use sales. 60 00:03:41,620 --> 00:03:43,200 And we're going to say a filter. 61 00:03:43,570 --> 00:03:48,190 And you can see now it's now taking my top ten countries shows me the total for those. 62 00:03:48,460 --> 00:03:52,540 Again, if I wanted to see these by the value can actually just change my sort order for the sum of 63 00:03:52,540 --> 00:03:53,170 sales. 64 00:03:54,120 --> 00:03:56,220 If I wanted to see the, say, the bottom ten. 65 00:03:57,810 --> 00:03:58,920 Supply the filter. 66 00:03:58,920 --> 00:03:59,700 And there we go. 67 00:03:59,700 --> 00:04:01,740 There's my bottom ten countries. 68 00:04:01,830 --> 00:04:03,780 So really useful to have your top end. 69 00:04:03,780 --> 00:04:07,590 You can find the top ten, top five, top 15 if you wanted to. 70 00:04:07,710 --> 00:04:12,990 Countries by that and again, if you wanted to clear your filter, just select that and then that will 71 00:04:12,990 --> 00:04:14,400 clear that filter away. 72 00:04:14,490 --> 00:04:18,990 Now, let's say, for example, that you wanted to actually use a numeric. 73 00:04:18,990 --> 00:04:26,160 So in this case we wanted to see how many countries did we have sales that were, say, less than 500,000. 74 00:04:27,120 --> 00:04:31,470 So in this case, we wouldn't be using our country field, We would move to our sales field. 75 00:04:31,470 --> 00:04:33,840 So let's expand this and you'll see. 76 00:04:33,840 --> 00:04:38,520 Now my filter options is the ability to find things that are less than something is greater than something 77 00:04:38,520 --> 00:04:40,260 is something or is not something. 78 00:04:40,260 --> 00:04:45,480 So in this case, let's say I want to find all countries that have got sales is less than or equal to. 79 00:04:45,480 --> 00:04:50,250 And in this case it's going to be 500,000, let's say 500,000 there. 80 00:04:50,400 --> 00:04:51,720 I'm going to apply the filter. 81 00:04:52,140 --> 00:04:54,660 I can see I've got quite a long list of countries. 82 00:04:54,780 --> 00:04:57,960 Now, question would come, how do I know how many countries? 83 00:04:58,050 --> 00:05:03,210 So one of the tricks I could use for this is if I go back to my visualization and go back to my columns, 84 00:05:03,480 --> 00:05:07,800 if I was to get another copy of my country and just drop it into my table. 85 00:05:08,220 --> 00:05:11,340 And now I say that I want to do a distinct count. 86 00:05:12,180 --> 00:05:15,330 What it will do is it lets you just count the country once. 87 00:05:15,540 --> 00:05:21,030 So now it will show me a list of all the countries and it will actually show me that I've got 25 countries 88 00:05:21,030 --> 00:05:23,250 that have sales, less than 500,000. 89 00:05:24,030 --> 00:05:26,970 So that's just a little trick you can use when you want to do accounting. 90 00:05:26,970 --> 00:05:29,700 You want to know how many of something are contributing. 91 00:05:30,530 --> 00:05:34,550 Let's say, for example, I wanted to know how many countries had sales greater than a million. 92 00:05:34,960 --> 00:05:35,990 So let's just change that. 93 00:05:35,990 --> 00:05:40,310 Let's say is greater than or equal to and in this case, let's say a million. 94 00:05:42,000 --> 00:05:43,910 And we click apply filter on that. 95 00:05:43,920 --> 00:05:44,640 And there we go. 96 00:05:44,640 --> 00:05:49,560 We can see that the six countries that have got sales greater than a million, we could use our end 97 00:05:49,560 --> 00:05:51,120 on all logic on this as well. 98 00:05:51,120 --> 00:05:55,620 So you could say that you want to find all how many countries have sales? 99 00:05:55,620 --> 00:05:57,990 Between 500,000 and a million. 100 00:05:57,990 --> 00:06:06,120 So in this case, we want to be saying is less than or greater to than or equal to a million and is 101 00:06:06,120 --> 00:06:09,360 greater than or equal to 500,000. 102 00:06:11,150 --> 00:06:12,560 Just try that logic. 103 00:06:12,830 --> 00:06:14,780 I got the number of zeros correct. 104 00:06:14,780 --> 00:06:15,770 Apply filter. 105 00:06:15,770 --> 00:06:16,430 And there we go. 106 00:06:16,430 --> 00:06:21,140 We find three countries that are between the values of a million and 500,000. 107 00:06:21,710 --> 00:06:26,840 So this is just one thing where you could use your numeric filters, is that you could ask for something 108 00:06:26,840 --> 00:06:29,970 that is less than or equal to a specific value. 109 00:06:29,990 --> 00:06:32,810 Now we're just going to clear this, so we're just going to move it away. 110 00:06:33,020 --> 00:06:39,380 Now, what you do get the ability to do is actually to be able to add fields into your filter. 111 00:06:39,410 --> 00:06:45,410 So let's say, for example, we wanted to know what was the sales for each country, but only for the 112 00:06:45,410 --> 00:06:46,850 audio product category. 113 00:06:46,940 --> 00:06:51,110 So what we could do is we could take the audio product category, just drop the product category into 114 00:06:51,110 --> 00:06:57,470 there here, and then we could select just audio and you'll see automatically now that my sales has 115 00:06:57,470 --> 00:07:00,520 been filtered only to show the audio product category. 116 00:07:00,530 --> 00:07:05,900 So as you can see, this becomes really powerful where you can actually add as many fields as you wanted 117 00:07:05,900 --> 00:07:09,620 to in here to create any combination of the filters that you want to use. 118 00:07:09,740 --> 00:07:11,570 Now, we're going to keep this pretty simple. 119 00:07:11,570 --> 00:07:13,470 We're just going to show that as an example. 120 00:07:13,490 --> 00:07:17,450 But you can imagine you could bring in a region for this or you could bring in a channel and you could 121 00:07:17,450 --> 00:07:19,490 use those as specific filters. 122 00:07:20,240 --> 00:07:23,840 If I wanted to change this to cell phones, as you can see, very easy to do. 123 00:07:23,930 --> 00:07:26,210 But again, I'm going to just clear the filter. 124 00:07:26,240 --> 00:07:31,340 Now, one thing to note is that this field is not part of my table, but it does allow me to do is actually 125 00:07:31,340 --> 00:07:32,990 remove this from the filters. 126 00:07:33,110 --> 00:07:37,610 It will not allow you, though, to remove a field that is actually part of the table. 127 00:07:38,240 --> 00:07:43,330 And the last one that I wanted to go over was just the data filters that we use just now. 128 00:07:43,340 --> 00:07:48,410 So just now in our slicer, we used all ordered data and we saw that there were two types of filters 129 00:07:48,410 --> 00:07:49,400 that we could use. 130 00:07:49,700 --> 00:07:55,040 We could use a basic filtering or we could use a relative data filtering. 131 00:07:55,190 --> 00:08:00,050 Now, in this case, actually a basic filtering means that you actually just pick the independent dates. 132 00:08:00,200 --> 00:08:04,370 Rather, when I was speaking about a basic filtering, I was meaning more on the advanced filtering 133 00:08:04,370 --> 00:08:10,130 where we say something is on or after a specific date is on or before a specific date. 134 00:08:10,190 --> 00:08:16,630 So let's say we want to find all the sales that is on or after and let's say the day and the month. 135 00:08:16,640 --> 00:08:27,170 So let's say we want to start with the 0107 and let's say it's 2013 and we want to find actually, let's 136 00:08:27,170 --> 00:08:32,600 just apply the filter on that so we can see automatically now that everything that is on and after right 137 00:08:32,600 --> 00:08:36,890 to the end of the dataset is now filtered to, to display that. 138 00:08:36,890 --> 00:08:44,480 But you could combine this and you could say that I want to see and is on or before. 139 00:08:44,930 --> 00:08:47,960 And in this case we would need a date that is later. 140 00:08:47,960 --> 00:08:52,070 So that's the first of the ninth 2013. 141 00:08:52,670 --> 00:08:57,680 So you can enter the dates that you would want in here and click apply filter and there we go. 142 00:08:57,710 --> 00:09:01,850 It's now showing you the filter data for those two dates. 143 00:09:02,620 --> 00:09:06,820 What you could also show is that you could have your relative date here as well. 144 00:09:06,820 --> 00:09:12,250 So you could say, I want to show a relative date and you could say that it is in the last and let's 145 00:09:12,250 --> 00:09:13,210 say seven days. 146 00:09:13,210 --> 00:09:17,080 Remember, we're not going to see any data because the data is too old. 147 00:09:17,080 --> 00:09:22,510 But you could say, as in the last seven days or you could say is in the last seven weeks, or you could 148 00:09:22,510 --> 00:09:25,230 say is in the last seven months and so on. 149 00:09:25,240 --> 00:09:30,460 So it's very easy to be able to change these to either relative or to a normal date range that you would 150 00:09:30,460 --> 00:09:32,410 want to use within your filters. 151 00:09:33,170 --> 00:09:37,750 Again, please note that the ordered data is not part of the actual table here. 152 00:09:37,750 --> 00:09:39,850 This could actually remove it. 153 00:09:40,360 --> 00:09:41,400 So there we go. 154 00:09:41,410 --> 00:09:46,270 That's the first part that I wanted to show you was the visual filters and just the ability to be able 155 00:09:46,270 --> 00:09:47,920 to add the filters to a table. 156 00:09:47,920 --> 00:09:50,260 As you can see quite a lot that we can do there. 157 00:09:50,920 --> 00:09:52,400 We're going to conclude the lesson there. 158 00:09:52,420 --> 00:09:53,740 I will see you in the next one. 16410

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