Heart Failure Prediction Dataset: Python Programming

This is the link to the dataset below from kaggle.

https://www.kaggle.com/fedesoriano/heart-failure-prediction

Please answer the below questions based on the dataset provided above. Please get the dataset provided above, click on the link to see the dataset (copy the link and paste it on google to see it) and you can answer the bullet points using Google colab programming

There are no reference, the dataset has all you'll need. I provided the link of the dataset. Download the dataset and answer the bullet points on google colab, python programming

1. Descriptive Analysis
   • Number of columns and rows
   • Percent of missing values by columns
   • Means, medians, modes, correlations, variance, outliers
   • Data visualizations such as scatter plots or correlation plots
2. Data Preprocessing
   • Variable treatment
     • Dropping columns and rows when necessary
     • Imputing missing values
     • Transforming variables if necessary
   • Fitting models
     • Summarize performance indicators of models
     • Summarize model