All language subtitles for 07 - Challenge Calculate correlations between columns of data

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:05,001 (upbeat synth music) 2 00:00:05,001 --> 00:00:07,002 - [Instructor] In this chapter, we have looked at 3 00:00:07,002 --> 00:00:10,006 covariance and correlation as measures 4 00:00:10,006 --> 00:00:14,008 of how data varies within a data set. 5 00:00:14,008 --> 00:00:16,003 I'd like to challenge you to work 6 00:00:16,003 --> 00:00:18,000 with the problem set forward 7 00:00:18,000 --> 00:00:20,004 in the Chapter 5 Challenge Workbook, 8 00:00:20,004 --> 00:00:22,008 which you can find in the Chapter 5 folder 9 00:00:22,008 --> 00:00:25,002 of the exercise files collection. 10 00:00:25,002 --> 00:00:27,003 I would like you to find the covariance 11 00:00:27,003 --> 00:00:30,006 between the values in the customers and sales columns, 12 00:00:30,006 --> 00:00:32,008 those are in A and B. 13 00:00:32,008 --> 00:00:36,003 Also the correlation of those same two columns, 14 00:00:36,003 --> 00:00:39,007 and then create a 3x3 grid 15 00:00:39,007 --> 00:00:44,004 that will determine the correlation of each column 16 00:00:44,004 --> 00:00:47,000 as paired with other columns. 17 00:00:47,000 --> 00:00:51,009 Remember, as a hint, that anytime you get the correlation 18 00:00:51,009 --> 00:00:53,004 of a column with itself, 19 00:00:53,004 --> 00:00:54,007 the values should be one 20 00:00:54,007 --> 00:00:57,002 because the values are exactly identical. 21 00:00:57,002 --> 00:01:00,007 So that means that cells G8, H9, 22 00:01:00,007 --> 00:01:05,002 and I10 should all contain the values of one. 23 00:01:05,002 --> 00:01:08,002 With that in mind, go ahead and try the problem. 24 00:01:08,002 --> 00:01:09,008 And I will be back in the next movie 25 00:01:09,008 --> 00:01:11,000 to show you how I would solve it. 1888

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