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These are the user uploaded subtitles that are being translated: 1 00:00:05,250 --> 00:00:11,130 In the next couple of lessons, I'm going to show you some techniques for splitting up information, 2 00:00:11,910 --> 00:00:19,230 and in this first lesson, the method that we're going to use is splitting up data, using text to columns. 3 00:00:19,440 --> 00:00:24,210 Now what do I mean by splitting up data and why is this useful when you're cleaning your data? 4 00:00:24,330 --> 00:00:26,220 Well, let's take a look at a very simple example. 5 00:00:26,220 --> 00:00:31,230 First of all, and then I'll show you how you can use that on the sales spreadsheet that we've been 6 00:00:31,230 --> 00:00:34,090 working on now on this first example. 7 00:00:34,140 --> 00:00:39,030 If you take a look, I've got some information listed in Column A.. 8 00:00:39,630 --> 00:00:43,620 And this might be information that I've imported from something like a text file. 9 00:00:44,280 --> 00:00:47,340 And you can see here it basically shows the employee name. 10 00:00:47,400 --> 00:00:50,010 We then have a comma, which we call that delimiter. 11 00:00:50,550 --> 00:00:54,210 We then have that person's job title, then a comma. 12 00:00:54,750 --> 00:00:59,310 Then the department that they work in, then a comma and then their salary. 13 00:00:59,520 --> 00:01:06,180 And this is a very realistic example of what data actually looks like if you imported from a text file 14 00:01:06,180 --> 00:01:07,710 and don't break it up first. 15 00:01:07,920 --> 00:01:14,460 So it's a very real possibility that you might import data and it does look something like this. 16 00:01:14,670 --> 00:01:20,280 And what we basically want to do is we want to break up the data that we have in these cells so that 17 00:01:20,280 --> 00:01:27,180 we have the employee name in one column, job title in another department and salary. 18 00:01:27,450 --> 00:01:30,540 And there are a few different ways that we can do this type of thing. 19 00:01:31,260 --> 00:01:38,370 Now we're going to use the oldest method in Excel, first of all, and that is by using text to columns. 20 00:01:38,550 --> 00:01:42,540 So what I'm going to do is I'm going to select the data that I want to split up. 21 00:01:43,200 --> 00:01:45,630 Let's jump up to the data ribbon. 22 00:01:45,840 --> 00:01:51,840 And in the data tools group, we have a big old button here that says text to columns and the screen 23 00:01:51,840 --> 00:01:59,310 tip says split a single column of text into multiple columns, and that is exactly what I want to do. 24 00:02:00,000 --> 00:02:01,680 So let's click on this button. 25 00:02:01,920 --> 00:02:06,180 Now this is going to basically take you through a convert text to columns with it. 26 00:02:06,630 --> 00:02:11,460 And if you've ever used a wizard before, you'll know that kind of guides you through the process. 27 00:02:11,760 --> 00:02:18,390 Now, the first thing we need to determine here is if our column is a limited or fixed width. 28 00:02:18,540 --> 00:02:25,140 Now, the limited means that your different fields, so your different items, the employee, the department, 29 00:02:25,140 --> 00:02:28,680 the job title, so on and so forth, how they are split up. 30 00:02:28,800 --> 00:02:32,280 So the delimiter that I'm using here is a comma. 31 00:02:32,400 --> 00:02:35,610 I have a comma separating each of my fields. 32 00:02:35,850 --> 00:02:41,130 So I'm going to choose delimited and click on next on the next page. 33 00:02:41,160 --> 00:02:47,970 This is where I can define the type of delimiter I'm using, because it might be that your fields are 34 00:02:47,970 --> 00:02:56,040 separated with a tab, or maybe a comma, or maybe a semicolon or a space, or maybe some other item 35 00:02:56,040 --> 00:02:56,730 entirely. 36 00:02:56,940 --> 00:03:02,700 If you do have your fields separated with something that you can't see listed just here, you can choose 37 00:03:02,850 --> 00:03:09,160 other and then specify in here how your fields are separated now, minus separated with a comma. 38 00:03:09,210 --> 00:03:10,470 So let's choose that option. 39 00:03:11,070 --> 00:03:18,390 And as soon as I do that, you can see in the preview window, it's now splitting my data wherever it 40 00:03:18,390 --> 00:03:19,320 finds a comma. 41 00:03:19,530 --> 00:03:21,300 So that is absolutely perfect. 42 00:03:21,600 --> 00:03:23,040 Let's click on next. 43 00:03:23,340 --> 00:03:27,870 Now here, if I wanted to, I could start applying some formatting to the columns. 44 00:03:28,320 --> 00:03:31,290 Now I'm just going to leave my columns on the default, which is general. 45 00:03:31,680 --> 00:03:34,500 The important thing here is the destination. 46 00:03:35,040 --> 00:03:40,740 So this is where you specify where you want your data to be placed after it's been split up. 47 00:03:41,430 --> 00:03:49,410 So I'm going to remove A4 from there because I want the first item to be in Cell C for let's click on 48 00:03:49,500 --> 00:03:50,070 Finish. 49 00:03:50,730 --> 00:03:53,430 And would you take a look at that very quickly? 50 00:03:53,670 --> 00:03:56,700 It's broken everything up into nice, neat columns. 51 00:03:57,000 --> 00:04:01,470 I can then just go in and do my final pieces of formatting. 52 00:04:01,710 --> 00:04:08,850 So that is a very simple example of how you can use text to columns to break up data into multiple columns. 53 00:04:09,060 --> 00:04:13,890 So now let's take a look at how we might use that on the sales data that we've been working on. 54 00:04:14,640 --> 00:04:20,010 So on the next tab, I've actually made a small change to this worksheet just so I can show you this 55 00:04:20,010 --> 00:04:20,610 example. 56 00:04:21,300 --> 00:04:26,970 Now, if we take a look in Column A, what I've actually done here is I've combined the country with 57 00:04:27,000 --> 00:04:32,790 the product and the product is listed after the country in brackets or parentheses. 58 00:04:33,090 --> 00:04:39,660 So what I want to do here is I want to split up the country and the product into two separate columns. 59 00:04:39,990 --> 00:04:43,530 So for this, I need to add two blank columns. 60 00:04:44,010 --> 00:04:47,600 So control shift plus control shift plus. 61 00:04:48,030 --> 00:04:53,100 And let's call this one country and this one product. 62 00:04:54,150 --> 00:04:57,210 So now I can use text two columns to break up this data. 63 00:04:57,390 --> 00:05:01,800 So the first thing I'm going to do here is control shift down to select all of the data. 64 00:05:02,040 --> 00:05:04,740 Let's go up to the data tab and select. 65 00:05:04,870 --> 00:05:09,310 Text to columns once again, this is going to be a limited. 66 00:05:09,670 --> 00:05:15,130 But this is a bit different to how it was previously because what is separating my two fields, what 67 00:05:15,130 --> 00:05:17,380 is separating the country and the product? 68 00:05:17,920 --> 00:05:24,940 Well, I have a bracket in there, so I'm going to say that I want to split my data where it finds that 69 00:05:24,940 --> 00:05:26,080 first bracket. 70 00:05:26,900 --> 00:05:29,170 If you take a look at the data preview, that's fine. 71 00:05:29,170 --> 00:05:30,640 I've got the country in one column. 72 00:05:30,640 --> 00:05:34,610 I have the product in the next column, but I have a trailing bracket. 73 00:05:34,630 --> 00:05:36,520 Now we're going to deal with that afterwards. 74 00:05:36,730 --> 00:05:38,590 Let's just get this split up, first of all. 75 00:05:39,280 --> 00:05:41,950 So let's click on next and my destination. 76 00:05:42,610 --> 00:05:43,570 Let's remove that. 77 00:05:43,930 --> 00:05:46,090 It's going to be Selby, too. 78 00:05:47,350 --> 00:05:51,040 Now it might be that you get this error that says there's already data here now. 79 00:05:51,040 --> 00:05:52,360 I don't have any data there. 80 00:05:52,540 --> 00:05:55,090 Let's click on OK, and it's still going to put that in. 81 00:05:55,300 --> 00:05:59,890 So now what I can do is I can basically delete out this first column. 82 00:06:00,970 --> 00:06:05,560 Now, the final thing we need to deal with here is this trailing bracket that we have in this column. 83 00:06:05,560 --> 00:06:11,470 We don't need that to be there, so I can get rid of this doing a simple find and replace. 84 00:06:11,680 --> 00:06:15,970 And what that will do is it will allow you to specify what you want to find in this case, a closing 85 00:06:15,970 --> 00:06:19,000 bracket and you can say what you want to replace it with. 86 00:06:19,360 --> 00:06:23,650 And I'm going to replace it with a blank, which will effectively remove it. 87 00:06:24,430 --> 00:06:31,840 So I'm going to select Column B and press control F. Now I'm going to jump across to the Replace tab 88 00:06:31,930 --> 00:06:34,210 and I'm going to specify what it needs to find. 89 00:06:34,420 --> 00:06:41,050 So I'm looking for a closing bracket and I want to replace it with nothing. 90 00:06:41,350 --> 00:06:49,960 So I'm going to leave this blank and replace or it's made 702 replacements and it's got rid of that 91 00:06:49,960 --> 00:06:50,830 closing bracket. 92 00:06:51,400 --> 00:06:53,470 So that is how I could use text to columns. 93 00:06:53,470 --> 00:06:58,680 In a more practical example, in the next lesson, I'm going to show you how you can do the same thing, 94 00:06:58,690 --> 00:07:02,770 how you can split up data, but this time using Excel functions. 9936

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