Question: Using appropriate measures, summarize each variable, except Person ID column, with 2 summary statistics (hint: look back at the first week of material). Summary statistics
Using appropriate measures, summarize each variable, except Person ID column, with 2 summary statistics (hint: look back at the first week of material). "Summary statistics" here is another term for central tendencies for continuous variable or summarizing distributions for categorical variables.
| Person ID | education_after | education_before | diet_exercise_program A | health score | competency | exercise level | gender | disease status |
| 1 | 9.6 | 5.8 | 8.6 | 43 | 11 | Low | Female | 1 |
| 2 | 10.5 | 5.9 | 6.6 | 42 | 11 | High | Female | 0 |
| 3 | 9.7 | 6 | 18.4 | 36 | 9 | High | Female | 1 |
| 4 | 12 | 6.2 | 2.2 | 26 | 7 | High | Male | 0 |
| 5 | 10.4 | 6.5 | 7.3 | 40 | 11 | High | Male | 1 |
| 6 | 10.1 | 6.8 | 9.6 | 33 | 8 | High | Male | 0 |
| 7 | 9.6 | 7 | 11.4 | 34 | 8 | Low | Male | 1 |
| 8 | 7 | 6 | -4.8 | 50 | 11 | High | Male | 0 |
| 9 | 9.2 | 6.1 | -4.5 | 46 | 12 | High | Male | 1 |
| 10 | 10.3 | 7.5 | 9.2 | 49 | 12 | High | Male | 0 |
| 11 | 10.5 | 7.5 | 11.5 | 41 | 10 | High | Male | 1 |
| 12 | 10.4 | 7 | 8.9 | 43 | 10 | Low | Female | 0 |
| 13 | 6.7 | 8.6 | 7.2 | 38 | 9 | High | Male | 1 |
| 14 | 7.7 | 8.7 | 2.2 | 46 | 10 | High | Male | 0 |
| 15 | 8.8 | 8.9 | 3.4 | 44 | 10 | High | Male | 1 |
| 16 | 12 | 9.4 | -0.3 | 39 | 9 | Low | Female | 0 |
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