The goal of this file is to demonstrate the capabilities of Pretty Jupyter package.

Input Data

In this section, we inspect the input data.

money weight gender
0 30000 80 Male
1 40000 50 Female
2 70000 80 Male
3 65000 70 Male
4 25000 54 Female

The input dataset has:

  • 5 rows,
  • 3 columns.

The columns and their dtypes are the following:

col_name dtype
0 money int64
1 weight int64
2 gender object



C:\Users\janpa\AppData\Local\Temp\ipykernel_16720\ UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure.


Weight is a continuous variable.


Correlation between the money and weight seems to be rather weak. The gender is not analyzed because it's a categorical variable.


Pretty Jupyter is awesome and I'm definitely installing it ;).