All language subtitles for 2. Removing Blank Rows, Cells and Duplicates

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These are the user uploaded subtitles that are being translated: 1 00:00:05,330 --> 00:00:12,920 In the previous lesson, we saw how we can import a folder of files and also a text file into Excel. 2 00:00:13,670 --> 00:00:18,410 And it's this text file that we're going to clean up and prepare for analysis. 3 00:00:18,830 --> 00:00:24,500 Now if you find that when you are opening these files, you get this security warning running across 4 00:00:24,500 --> 00:00:31,400 the top in yellow, then you can simply click Enable content is just because we've created external 5 00:00:31,400 --> 00:00:33,560 links when we've imported this data. 6 00:00:34,130 --> 00:00:39,230 So I'm going to click Enable content and I'm going to say, do not ask me again for network files. 7 00:00:39,470 --> 00:00:40,880 So now we have this data set. 8 00:00:41,240 --> 00:00:45,200 And the first thing we're going to deal with here are these blank rows. 9 00:00:45,740 --> 00:00:51,140 I'm also going to show you how to handle blank cells and how to remove duplicate entries. 10 00:00:51,860 --> 00:00:54,410 So let's start with the blank rows, first of all. 11 00:00:54,680 --> 00:00:59,810 Now, blank rows in general can cause problems when you're analyzing your data. 12 00:01:00,440 --> 00:01:06,260 For example, if I want to put this data into a pivot table, then start creating things like charts. 13 00:01:06,590 --> 00:01:10,160 If I have blank rows in there, it's going to throw off my data. 14 00:01:10,790 --> 00:01:17,300 So you always want to make sure that you remove any blank rows that you have in your dataset. 15 00:01:17,480 --> 00:01:22,700 Now, if you have a very large dataset and you have quite a lot of blank rows in there, it's going 16 00:01:22,700 --> 00:01:26,180 to be pretty tedious to go through and try and delete all of these manually. 17 00:01:26,630 --> 00:01:32,300 So I might decide I want to select these two rows, hold down control, select these to scroll down, 18 00:01:32,300 --> 00:01:33,140 select them all. 19 00:01:33,350 --> 00:01:35,510 That's not particularly time efficient. 20 00:01:35,750 --> 00:01:42,020 Fortunately, there is a quick way to do this in Excel, so all we need to do here is click somewhere 21 00:01:42,020 --> 00:01:49,460 in our data, go up to the home tab and then all the way over in the editing group if we go to find 22 00:01:49,460 --> 00:01:53,150 and select and then go to special. 23 00:01:53,880 --> 00:01:57,380 And this is going to open this little go to special dialog box. 24 00:01:57,950 --> 00:02:03,290 Now, if you're interested in keyboard shortcuts, there isn't a keyboard shortcut to go directly. 25 00:02:03,290 --> 00:02:09,740 To go to special for what you could do is press control g and then click the special button. 26 00:02:10,850 --> 00:02:16,520 Now what this allows you to do, amongst other things, is select different items within your spreadsheet. 27 00:02:17,370 --> 00:02:21,170 One of the options that we have here is to select all blanks. 28 00:02:21,590 --> 00:02:27,770 So let's select that click on OK, and it highlights all of those blank rows. 29 00:02:28,010 --> 00:02:34,700 So now with them all highlighted, I can go up to that home tab again into the sales group and using 30 00:02:34,700 --> 00:02:41,000 the Delete dropdown, I can delete sheet rows and I've deleted all of them in one go. 31 00:02:41,690 --> 00:02:44,210 So that's going to save me a lot of time. 32 00:02:44,780 --> 00:02:48,920 Now, another thing you want to make sure you deal with in your spreadsheets are blank cells. 33 00:02:49,520 --> 00:02:54,170 Now, I don't have any blank cells, but if I did, let's just delete a few things out of some of these 34 00:02:54,170 --> 00:02:54,740 cells. 35 00:02:55,130 --> 00:03:01,770 And let's go like, that's like, so now again, blank cells can cause a bit of a problem. 36 00:03:01,790 --> 00:03:08,180 It's always better to have some kind of numeric value in these cells, even if that is just a zero. 37 00:03:08,480 --> 00:03:15,080 So once again, if I want to select all blank cells in this particular column, all I would need to 38 00:03:15,080 --> 00:03:24,590 do is select the Column Control G Special and I can select blanks and click on OK. 39 00:03:25,280 --> 00:03:29,870 And that will select all of the blank cells just in the range that I specified. 40 00:03:30,170 --> 00:03:34,280 So now I can enter a zero into all of them in one go. 41 00:03:34,940 --> 00:03:39,320 So all I need to do here is type zero control enter. 42 00:03:39,860 --> 00:03:42,920 And that's going to put a zero in all of those blank cells. 43 00:03:42,920 --> 00:03:46,070 I haven't had to scroll through and do them all individually. 44 00:03:46,580 --> 00:03:49,820 So again, that is a real time saver of a trick. 45 00:03:50,360 --> 00:03:55,580 And the final thing I want to show you here is removing duplicates from your dataset. 46 00:03:56,360 --> 00:04:01,010 So it might be when you import your data and some duplicates come across for whatever reason. 47 00:04:01,580 --> 00:04:07,220 Now, when I say duplicates, I mean an exact duplicate of every single column in this row. 48 00:04:07,610 --> 00:04:13,130 Now it's always worth removing duplicates, even if you're not sure if you have duplicates in your spreadsheet. 49 00:04:13,370 --> 00:04:18,290 And in Excel, we have a button that can check duplicates for us and remove them quickly. 50 00:04:18,530 --> 00:04:25,880 So let's make sure we collect somewhere in a spreadsheet up to the data tab and in the data tools group 51 00:04:25,880 --> 00:04:26,330 we have. 52 00:04:26,330 --> 00:04:27,890 I remove duplicates button. 53 00:04:28,580 --> 00:04:33,440 Now, when I click, this is going to ask me to determine what is actually a duplicate. 54 00:04:34,100 --> 00:04:39,590 And the first thing I need to make sure that I select is my data has headers and notice. 55 00:04:39,590 --> 00:04:44,240 It's picked up all of the different columns and it's put a tick in the box next to all of them. 56 00:04:44,780 --> 00:04:51,320 So what this basically means is that every column has to be the same for it to be considered a duplicate. 57 00:04:51,560 --> 00:04:58,770 Now I'm happy with that because I only want to remove duplicates where every value in the row is duplicated. 58 00:04:59,450 --> 00:05:00,860 So let's click on OK? 59 00:05:01,490 --> 00:05:04,760 You can see that it's actually found two duplicate row. 60 00:05:04,940 --> 00:05:07,010 Old values and it's removed them. 61 00:05:07,640 --> 00:05:08,510 Click on OK. 62 00:05:09,050 --> 00:05:10,220 And we are done. 63 00:05:10,430 --> 00:05:19,940 So that is how you can very quickly delete black rose input data into blank cells and also remove duplicates. 7040

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