There's a visualisation technique called parallel coordintes that allows you to get an overview of many columns at the same time. You can read more about it here and the hiplot library offers a convenient way to use the technique from a jupyter notebook.
For this video you'll need to install the following dependencies;
pip install scikit-lego hiplot
To load the data, run the code below.
from sklego.datasets import load_penguins df = load_penguins(as_frame=True)
To run the interactive tool locally, run;
import hiplot as hip data = df.to_dict(orient='records') hip.Experiment.from_iterable(data).display()