Skip to content

Exploring various plotting methods available in Seaborn API for statistical data exploration.

Notifications You must be signed in to change notification settings

pratiknabriya/Exploring-Seaborn-for-Visualization-HandsOn

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 

Repository files navigation

Exploring-Seaborn-for-Visualization-HandsOn

Exploring various plotting methods available in Seaborn API for statistical data exploration.

Agenda/Topics:

- Go through some of the major plotting methods.
- Focus: Code walkthrough, Code-composition, dealing with errors.
- NOTE: Seaborn is built on top of Matplotlib to simplify plotting.

Pre-requisites:

- Python basics.
- Exploratory Data Anlaysis.

References:

- https://seaborn.pydata.org/
- https://seaborn.pydata.org/api.html

Datasets

- https://github.com/mwaskom/seaborn-data

About

Exploring various plotting methods available in Seaborn API for statistical data exploration.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published