Consider whether data distribution skewness exists in some of the numeric variables, and if it does, determine
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Consider whether data distribution skewness exists in some of the numeric variables, and if it does, determine how to transform the data into a less skewed distribution. Perform data sub-setting and use simple summary measures such as averages and frequency counts to find out if any differences exist across subsets.
Tower | Model | Damage |
1 | A | Minor |
2 | A | None |
3 | A | None |
4 | A | None |
5 | A | None |
6 | B | Minor |
7 | B | None |
8 | A | Partial |
9 | A | Minor |
10 | A | None |
11 | B | Minor |
12 | B | None |
13 | A | Minor |
14 | A | None |
15 | A | Severe |
16 | A | Minor |
17 | A | None |
18 | A | Minor |
19 | A | Partial |
20 | A | None |
21 | A | Partial |
22 | A | Minor |
23 | A | None |
24 | B | None |
25 | A | None |
26 | A | None |
27 | A | Minor |
28 | A | None |
29 | B | Partial |
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Related Book For
Business Analytics
ISBN: 9781265897109
2nd Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
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