Arthur Camberlein >> SEO & Data articles >> Skimpy a better way to analyze your df than `.describe()`

Skimpy a better way to analyze your df than `.describe()`

Written by Arthur Camberlein | Published on & updated on

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:

  1. go to https://github.com/aeturrell/skimpy
  2. do a %pip install
  3. load it thanks to from skimpy import skim
  4. test it on your dataframe skim(df)

These steps are:


  %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

 

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Blog post topic:  Data, Python: the language and the tool to help you!, Python SEO

Written by

With more than 10 years of experience in Marketing, Web Marketing and SEO, Arthur is specialized in Tech SEO and Data Analysis. He is currently working at Shopify, but all the views on this blog & website are his own.

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