" Try to explore and discover what factors are potentially related to heart disease (HD) by revealing diseased's against non-diseased's histogram differences pertaining to these factors."

As for the guidelines of the report:

"Try to write a creative investigative story out of your computational explorations".

1. Notebook on Kaggle: https://www.kaggle.com/code/alexteboul/heart-disease-health-indicators-dataset-notebook/notebook

2. The following is from discussions on Kaggle.

GenHlth (1-5 where 1 is excellent and 5 is poor) Age (convert to 14 level age buckets) 1 Age 18 to 24 2 Age 25 to 29 3 Age 30 to 34 4 Age 35 to 39 5 Age 40 to 44 6 Age 45 to 49 7 Age 50 to 54 8 Age 55 to 59 9 Age 60 to 64 10 Age 65 to 69 11 Age 70 to 74 12 Age 75 to 79 13 Age 80 or older Diabetes: In the original dataset, that feature was "DIABETE3: Ever told) you have diabetes (If "Yes" and respondent is female, ask "Was this only when you were pregnant?". If Respondent says pre-diabetes or borderline diabetes, use response code 4" After change, 0 is no diabetes, 1 is pre-diabetes, and 2 is diabetes.

You can use Rstudio to have histograms of the above discussion

Or you can use your own explorations

I need 4 pages investigative report