Introduction
The secret behind creating powerful predictive models is to understand the data really well. Thereby, it is suggested to maneuver the essential steps of data exploration to build a healthy model.
Here is a cheat sheet to help you with various codes and steps while performing exploratory data analysis in Python. We have also released a pdf version of the sheet this time so that you can easily copy / paste these codes.
You can easily copy / paste these code and keep them handy by downloading the PDF version of this infographic here: Data Exploration in Python.pdf
If you like what you just read & want to continue your analytics learning, subscribe to our emails, follow us on twitter or like our facebook page.
You can also read this article on our Mobile APP
This article is quite old and you might not get a prompt response from the author. We request you to post this comment on Analytics Vidhya's Discussion portal to get your queries resolved
very much useful. plz provide its equivalent in R also.
Thanks . Sounds good . There are few additional features in Pandas compared to R.