AWS SageMaker Data Wrangler flow used to perform exploratory Data Analysis (EDA).
- Read contents of cardio.csv data uploaded to S3 (Cardiovascular Disease dataset - https://www.kaggle.com/datasets/sulianova/cardiovascular-disease-dataset).
- Plot the histogram for the height column.
- Plot the scatterplot between the height and weight.
- Plot the correlation matrix between features.
- Drop the ID column
- Create a custom formula to convert age column from days to years. Round the age to the nearest integer
- Plot the histogram for the newly created age column
- Generate a summary table and list the average age value
- Sort the dataframe according the age column in an ascending order
- Generate a bias report for the cholesterol column
- Scale the weight, height, ap_lo and ap_hi using min max scaler
