All language subtitles for 7Topic 3-2 Entering Data Week 1 Getting to Know Excel & Enterin-1

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These are the user uploaded subtitles that are being translated: 1 00:00:00,800 --> 00:00:01,733 so here we are 2 00:00:01,733 --> 00:00:02,966 we're at our source of data 3 00:00:02,966 --> 00:00:04,599 that we're going to be using for this project 4 00:00:04,600 --> 00:00:07,333 we're at the World Weather Information Service web page 5 00:00:07,333 --> 00:00:08,399 I'm looking at Charlotte 6 00:00:08,400 --> 00:00:09,500 North Carolina's data 7 00:00:09,500 --> 00:00:10,600 you may be looking at data 8 00:00:10,600 --> 00:00:12,366 for another city around the world 9 00:00:12,733 --> 00:00:13,766 and what we're going to be doing 10 00:00:13,766 --> 00:00:15,299 before we start entering data 11 00:00:15,300 --> 00:00:16,533 is we're going to think about 12 00:00:16,533 --> 00:00:18,266 how we want our spreadsheet set up 13 00:00:18,266 --> 00:00:19,933 this will be the first time we're designing 14 00:00:19,933 --> 00:00:20,733 our own spreadsheet 15 00:00:20,733 --> 00:00:22,666 and we wanna make sure we do it right 16 00:00:22,966 --> 00:00:25,166 part of the reason we're using this data set 17 00:00:25,166 --> 00:00:27,499 is because it's a fantastic model 18 00:00:27,500 --> 00:00:29,400 for a good way to set up data 19 00:00:30,333 --> 00:00:31,399 what you'll notice here 20 00:00:31,400 --> 00:00:35,066 is that every column in this table represents 21 00:00:35,066 --> 00:00:37,466 in a variable of its own 22 00:00:37,466 --> 00:00:39,266 we have the variable of month 23 00:00:39,266 --> 00:00:41,866 we have the variable of low temperatures 24 00:00:41,866 --> 00:00:43,333 mean daily minimum temperatures 25 00:00:43,333 --> 00:00:44,999 we have the variable of high temperatures 26 00:00:45,000 --> 00:00:47,233 mean daily high temperatures and so on 27 00:00:47,300 --> 00:00:49,933 every column is its own variable 28 00:00:49,933 --> 00:00:52,199 this is an excellent principle to follow 29 00:00:52,200 --> 00:00:53,700 when setting up a spreadsheet 30 00:00:53,700 --> 00:00:56,000 which is what we'll be doing in Excel in a moment 31 00:00:56,366 --> 00:00:58,199 so every column is available 32 00:00:58,300 --> 00:01:00,400 every row then 33 00:01:00,400 --> 00:01:01,733 is an observation 34 00:01:01,733 --> 00:01:04,366 we have an observation associated with January 35 00:01:04,366 --> 00:01:06,999 we have another observation associated with February 36 00:01:07,000 --> 00:01:08,533 and so on and so 37 00:01:08,533 --> 00:01:10,199 keeping this idea in our head 38 00:01:10,266 --> 00:01:11,766 columns are variables 39 00:01:12,000 --> 00:01:13,666 rows are observations 40 00:01:13,666 --> 00:01:14,366 can be very 41 00:01:14,366 --> 00:01:15,066 very helpful 42 00:01:15,066 --> 00:01:17,199 when we're setting up a spreadsheet of our own 43 00:01:17,500 --> 00:01:18,600 so what we'll do now 44 00:01:18,600 --> 00:01:19,866 is with this in mind 45 00:01:19,866 --> 00:01:21,866 we're going to go over into an Excel 46 00:01:21,933 --> 00:01:23,199 and set up our spreadsheet 47 00:01:23,200 --> 00:01:25,800 so that we're going to be ready and organized 48 00:01:25,800 --> 00:01:26,766 for our data entry 49 00:01:26,766 --> 00:01:27,933 which will be our next step 50 00:01:27,933 --> 00:01:29,833 before we start working with these data 51 00:01:30,200 --> 00:01:31,300 so here we are 52 00:01:31,300 --> 00:01:32,466 we're in Excel 53 00:01:32,466 --> 00:01:34,333 we're ready to start entering our data 54 00:01:34,333 --> 00:01:36,499 but first we need to set up our spreadsheet 55 00:01:37,700 --> 00:01:39,133 one thing that you'll notice here 56 00:01:39,133 --> 00:01:40,799 is that I've already 57 00:01:41,266 --> 00:01:42,499 saved this file 58 00:01:42,500 --> 00:01:43,800 I've given it a name 59 00:01:43,800 --> 00:01:44,900 weather data 60 00:01:44,900 --> 00:01:46,500 and I encourage you to do that as well 61 00:01:46,500 --> 00:01:48,200 this is always a really good first step 62 00:01:48,200 --> 00:01:49,500 to get in the habit of 63 00:01:49,500 --> 00:01:51,333 is to give your file a name and save it 64 00:01:51,333 --> 00:01:51,866 and that way 65 00:01:51,866 --> 00:01:53,133 you're not going to lose anything 66 00:01:53,133 --> 00:01:54,566 and you're going to keep very organized 67 00:01:54,566 --> 00:01:56,266 with whatever you're doing in Excel 68 00:01:56,466 --> 00:01:57,699 something else I'm going to do is 69 00:01:57,700 --> 00:01:59,200 I'm gonna rename this sheet 70 00:01:59,300 --> 00:02:00,933 I'm gonna rename it CLT 71 00:02:00,933 --> 00:02:02,699 that's the abbreviation for Charlotte 72 00:02:02,733 --> 00:02:03,933 and now if I 73 00:02:03,933 --> 00:02:06,499 decide to put in weather data for other cities 74 00:02:06,500 --> 00:02:08,833 I can have different sheets for those as well 75 00:02:08,900 --> 00:02:10,366 so that's not really necessary 76 00:02:10,366 --> 00:02:12,866 if I'm only working with one set of data 77 00:02:12,866 --> 00:02:13,666 but now at least 78 00:02:13,666 --> 00:02:15,133 I know that the data I'm working with 79 00:02:15,133 --> 00:02:17,099 come from Charlotte and North Carolina 80 00:02:17,566 --> 00:02:18,566 what's next 81 00:02:18,900 --> 00:02:20,066 the final thing we need to do 82 00:02:20,066 --> 00:02:21,199 in setting up our spreadsheet 83 00:02:21,200 --> 00:02:22,300 before we can enter data 84 00:02:22,300 --> 00:02:24,533 is just giving us our column headers 85 00:02:24,533 --> 00:02:25,366 right and so 86 00:02:25,366 --> 00:02:27,199 we're going to name each column 87 00:02:27,200 --> 00:02:29,366 because each column represents a variable 88 00:02:29,366 --> 00:02:31,599 you may recall that these were months 89 00:02:31,600 --> 00:02:33,900 these were daily 90 00:02:35,000 --> 00:02:35,800 low temperature 91 00:02:35,800 --> 00:02:36,600 the average 92 00:02:36,600 --> 00:02:38,933 and daily high temperature 93 00:02:38,933 --> 00:02:39,766 the average 94 00:02:39,766 --> 00:02:42,066 we also have a column for precipitation 95 00:02:42,066 --> 00:02:43,499 which will enter in as well 96 00:02:43,900 --> 00:02:45,366 as we've seen before 97 00:02:45,366 --> 00:02:48,699 sometimes our labels are too long for the column width 98 00:02:48,700 --> 00:02:51,633 and so we can just double click between those columns 99 00:02:51,766 --> 00:02:54,499 to automatically space the column to the right size 100 00:02:54,866 --> 00:02:55,533 and finally 101 00:02:55,533 --> 00:02:56,266 as a reminder 102 00:02:56,266 --> 00:02:57,966 one thing I like to do is 103 00:02:57,966 --> 00:02:59,966 I like to bold that first row 104 00:02:59,966 --> 00:03:01,133 those column headers 105 00:03:01,133 --> 00:03:02,366 so that those stand out 106 00:03:02,366 --> 00:03:04,133 and we know that that's information 107 00:03:04,133 --> 00:03:06,666 separate from the rest of the data table 108 00:03:07,100 --> 00:03:08,900 and now we're already 109 00:03:08,900 --> 00:03:10,766 all set to start entering our data 110 00:03:10,766 --> 00:03:12,499 which is what we're going to do right now 7546

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