I recently came across a Python library that is useful for quick exploration of a dataset (or two) in a Jupyter notebook, SweetViz.
Code:
try: import sweetviz except: !pip install sweetviz --user import sweetviz import pandas as pd df = pd.read_csv('https://raw.githubusercontent.com/callysto/hackathon/f7454f5d9234df2575ceb7b8983340e512fad24d/SustainabilityOnMars/Tutorials/pets_from_bootstrap_world.csv') analysis = sweetviz.analyze(df) analysis.show_notebook() # or export with show_html()
Here is a brief notebook demonstration.