edahub 0.0.1

EDAHub helps structure exploratory data analysis (EDA) results.

EDAHub

What is this?

EDA (exploratory data analysis) results can be more structured.

EDAHub provides a side screen in JupyterLab to summarize your data, making it easier and quicker to revisit.

Why this is useful?

As a data scientist, I've seen many notebooks that mix data/ML pipeline logic with observations. EDAHub addresses this by organizing basic observations in one place.

How to start

You can try it on your JupyterLab with pip install:

pip install edahub

then add your pandas.DataFrame with name:

import edahub
eda = edahub.EDAHub()

eda.add_table("customers", df)

You will see the widget on the right side.