A few words about a Python libray/package I discover and this might be way better than .describe as we know it!
What is skimpy?
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console. -- Philip Vollet
I tested it just after seeing the tweet. And I could say it's great and I like it! Yes, it's no news that I like data and this library from Python could be used for SEO purposes.
How to install skimpy?
You can:
- go to https://github.com/aeturrell/skimpy
- do a
pip install - load it thanks to
from skimpy import skim - test it on your dataframe
skim(df)
!pip install
from skimpy import skim
skim(df)
Where df will be your dataframe with you own data. If you want to test it out of the box, there is a test data df that you can create with df = generate_test_data()
What could be the output of skimpy
This is an example I took from one of my data frame from GSC data -- as you will see with clicks and impressions from the screen capture below.
What do we learn with skimpy? More information on your dataframe and I found it more complete than .describe()from pandas.
Coming from a ... tweet of mine
This is coming from on of my tweet: https://twitter.com/ArthurCa/status/1446481101539717121
🕹Testing Friday 🕹
— 🚀Arthur Camberlein (@ArthurCa) October 8, 2021
Testing some #Python library called skimpy -- df statistical summary
==> Must say I like it!
(Thanks @philipvollet for the tip https://t.co/KDE7sFnhCL) pic.twitter.com/uXFxVo7Uvp
