All language subtitles for 6Topic 3-1 Entering Data Week 1 Getting to Know Excel & Enterin

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These are the user uploaded subtitles that are being translated: 1 00:00:01,000 --> 00:00:03,333 so we've done some really great work so far 2 00:00:03,333 --> 00:00:05,299 we're comfortable with Excel now 3 00:00:05,300 --> 00:00:07,133 we understand how spreadsheets work 4 00:00:07,133 --> 00:00:09,099 we've worked with cell referencing 5 00:00:09,333 --> 00:00:13,033 we know kinds of data categories we put into Excel 6 00:00:13,066 --> 00:00:15,199 we know that for some of those data categories 7 00:00:15,200 --> 00:00:15,933 like numbers 8 00:00:15,933 --> 00:00:17,599 there are many different data types 9 00:00:17,600 --> 00:00:18,900 and we need to be very clear 10 00:00:18,900 --> 00:00:20,666 through self formatting 11 00:00:20,666 --> 00:00:22,566 which data types were using 12 00:00:22,666 --> 00:00:25,366 so we have a lot of our foundation built 13 00:00:25,366 --> 00:00:26,166 and now we're very 14 00:00:26,166 --> 00:00:29,233 very close to entering data and working on our project 15 00:00:29,266 --> 00:00:29,999 and as you know 16 00:00:30,000 --> 00:00:32,300 our first project that we're going to be working on 17 00:00:32,300 --> 00:00:36,266 is dealing with weather data for a location near us 18 00:00:36,333 --> 00:00:37,299 I'm near Charlotte 19 00:00:37,300 --> 00:00:38,000 North Carolina 20 00:00:38,000 --> 00:00:40,433 and so that's the data I'm going to be showing you 21 00:00:40,566 --> 00:00:41,999 and what I'm going to do here is 22 00:00:42,000 --> 00:00:43,600 I'm going to introduce you to the data 23 00:00:43,600 --> 00:00:44,900 that we're going to be using 24 00:00:44,900 --> 00:00:47,633 and then we can think about planning our spreadsheet 25 00:00:47,766 --> 00:00:49,566 and then we'll enter in our data 26 00:00:49,566 --> 00:00:50,333 after which 27 00:00:50,333 --> 00:00:53,466 we'll be ready to go with plotting and analysis 28 00:00:53,466 --> 00:00:54,766 and doing a lot of the things 29 00:00:54,766 --> 00:00:56,699 that you're here to learn about and excel 30 00:00:57,133 --> 00:00:58,133 now remember 31 00:00:58,133 --> 00:00:59,899 this is one of the first products 32 00:00:59,900 --> 00:01:00,900 we're going to be producing 33 00:01:00,900 --> 00:01:02,800 we're going to be producing a plot 34 00:01:02,866 --> 00:01:04,966 of high and low temperatures per month 35 00:01:04,966 --> 00:01:05,966 across a year 36 00:01:05,966 --> 00:01:07,533 for a location near us 37 00:01:07,533 --> 00:01:09,099 so let's keep this in mind 38 00:01:09,266 --> 00:01:10,399 the first thing we need to do is 39 00:01:10,400 --> 00:01:11,733 we need to find a good data set 40 00:01:11,733 --> 00:01:12,499 for this and so 41 00:01:12,500 --> 00:01:13,200 what I'm going to do is 42 00:01:13,200 --> 00:01:14,600 I'm going to introduce you to 43 00:01:14,600 --> 00:01:16,166 one of a few different web pages 44 00:01:16,166 --> 00:01:18,366 where you can go to look up climate data 45 00:01:18,366 --> 00:01:20,666 and weather data for a location near you 46 00:01:20,733 --> 00:01:22,466 and then that's what we're going to use 47 00:01:22,466 --> 00:01:23,366 to prepare ourselves 48 00:01:23,366 --> 00:01:25,899 to collect those data and put it into Excel 49 00:01:25,900 --> 00:01:28,300 or then we can manipulate and visualize it 50 00:01:28,933 --> 00:01:29,999 here I'm gonna share with you 51 00:01:30,000 --> 00:01:31,766 one potential source of weather 52 00:01:31,766 --> 00:01:32,733 climate information 53 00:01:32,733 --> 00:01:34,533 that I recommend for what we're doing 54 00:01:34,533 --> 00:01:36,299 for the next few steps in this class 55 00:01:36,533 --> 00:01:38,766 that's the World Weather Information Service 56 00:01:38,766 --> 00:01:41,199 you can see that I just used a search bar 57 00:01:41,200 --> 00:01:43,166 to look for that web page 58 00:01:43,166 --> 00:01:44,733 it pops up right here 59 00:01:44,733 --> 00:01:46,166 and here we have the URL 60 00:01:46,166 --> 00:01:46,866 if you'd like to 61 00:01:46,866 --> 00:01:49,066 just type that directly into your browser 62 00:01:49,066 --> 00:01:49,766 we're going for 63 00:01:49,766 --> 00:01:52,066 the World Weather Information Service 64 00:01:52,466 --> 00:01:53,966 this is a fantastic web page 65 00:01:53,966 --> 00:01:54,866 because what it does is 66 00:01:54,866 --> 00:01:57,599 it provides weather information and climate information 67 00:01:57,733 --> 00:01:59,399 for cities all around the world 68 00:01:59,400 --> 00:02:02,800 all we have to do is just enter in a location near us 69 00:02:02,800 --> 00:02:04,966 that we're particularly interested in 70 00:02:05,000 --> 00:02:05,533 and then we'll 71 00:02:05,533 --> 00:02:07,333 get some of the data that we're interested in 72 00:02:07,333 --> 00:02:08,433 so I'm going to 73 00:02:08,733 --> 00:02:11,266 type in a city near me Charlotte 74 00:02:11,266 --> 00:02:12,066 North Carolina 75 00:02:12,066 --> 00:02:13,266 in the United States 76 00:02:13,266 --> 00:02:15,166 and you can and should 77 00:02:15,166 --> 00:02:17,866 search for a location of interest to you 78 00:02:18,733 --> 00:02:19,599 the first thing we see 79 00:02:19,600 --> 00:02:21,666 is we see the current weather conditions 80 00:02:21,666 --> 00:02:23,933 and we see the forecast for the next few days 81 00:02:23,933 --> 00:02:25,399 but if we scroll down 82 00:02:25,400 --> 00:02:27,566 then here's the data we're really after 83 00:02:27,566 --> 00:02:28,733 in this table here 84 00:02:28,733 --> 00:02:30,633 you can see that we have the mean 85 00:02:30,666 --> 00:02:32,399 daily high temperatures 86 00:02:32,400 --> 00:02:33,900 and low temperatures 87 00:02:33,966 --> 00:02:35,966 for particular months of the year 88 00:02:35,966 --> 00:02:38,199 this is over a 30 year period 89 00:02:38,400 --> 00:02:39,500 and these are averages 90 00:02:39,500 --> 00:02:40,600 so on average 91 00:02:40,600 --> 00:02:42,266 the low temperature in January 92 00:02:42,266 --> 00:02:42,866 in Charlotte 93 00:02:42,866 --> 00:02:45,366 is going to be about 29.6 94 00:02:45,366 --> 00:02:47,399 or 30 degrees Fahrenheit 95 00:02:47,400 --> 00:02:49,666 and we have that for every month of the year 96 00:02:49,733 --> 00:02:52,166 you can see that we also have rainfall data 97 00:02:52,166 --> 00:02:54,366 and so maybe we can use this as well 98 00:02:54,366 --> 00:02:56,399 as we're moving forward in this class 99 00:02:57,766 --> 00:02:58,699 right up above 100 00:02:58,700 --> 00:03:00,066 you can see one kind of plot 101 00:03:00,066 --> 00:03:00,799 and you saw that 102 00:03:00,800 --> 00:03:03,200 we're going to be producing a plot very much like this 103 00:03:03,200 --> 00:03:04,500 using Excel 104 00:03:05,166 --> 00:03:08,033 so this is a fantastic source of information 105 00:03:08,466 --> 00:03:10,066 that hopefully will be of interest to you 106 00:03:10,066 --> 00:03:11,899 as we move forward in this class 107 00:03:11,900 --> 00:03:14,900 I'm also going to provide links to a few other sources 108 00:03:14,900 --> 00:03:17,466 of weather and climate data that you can use 109 00:03:17,466 --> 00:03:20,166 if this one doesn't quite do the trick for you 110 00:03:20,966 --> 00:03:22,533 now that we have our data source 111 00:03:22,533 --> 00:03:23,499 what we're going to do is 112 00:03:23,500 --> 00:03:25,100 we're going to look at what we need to do 113 00:03:25,100 --> 00:03:27,066 to enter those data into Excel 114 00:03:27,100 --> 00:03:29,100 that means setting up our spreadsheet 115 00:03:29,100 --> 00:03:30,333 so that's our next step 116 00:03:30,333 --> 00:03:31,999 will be setting up our spreadsheet 117 00:03:32,000 --> 00:03:33,400 and getting ready in advance 118 00:03:33,400 --> 00:03:35,366 so that we can then enter our data 119 00:03:35,366 --> 00:03:37,433 and start working with those data 120 00:03:37,500 --> 00:03:39,066 that's what's coming up next 8452

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