In this assignment, we will work with a small dataset of diabetes patients taken from here.
| AGE | SEX | BMI | BP | S1 | S2 | S3 | S4 | S5 | S6 | Y | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 59 | 2 | 32.1 | 101. | 157 | 93.2 | 38.0 | 4. | 4.8598 | 87 | 151 |
| 1 | 48 | 1 | 21.6 | 87.0 | 183 | 103.2 | 70. | 3. | 3.8918 | 69 | 75 |
| 2 | 72 | 2 | 30.5 | 93.0 | 156 | 93.6 | 41.0 | 4.0 | 4. | 85 | 141 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
- Open the assignment notebook in a jupyter notebook environment
- Complete all tasks listed in the notebook, namely: [ ] Compute mean values and variance for all values [ ] Plot boxplots for BMI, BP and Y depending on gender [ ] What is the the distribution of Age, Sex, BMI and Y variables? [ ] Test the correlation between different variables and disease progression (Y) [ ] Test the hypothesis that the degree of diabetes progression is different between men and women
| Exemplary | Adequate | Needs Improvement |
|---|---|---|
| All required tasks are complete, graphically illustrated and explained | Most of the tasks are complete, explanations or takeaways from graphs and/or obtained values are missing | Only basic tasks such as computation of mean/variance and basic plots are complete, no conclusions are made from the data |