Thanks to visit codestin.com
Credit goes to github.com

Skip to content

aleferrariuy/Seaborn-practices

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

21 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Seaborn-practices

Data visualization practice with Python using the Seaborn library.

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing engaging and informative statistical graphs. Here I share my practice exercises.

Objective

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphs. Here I share my practice exercises as part of my professional development.

Purpose

I hope it serves as a starting point, or at least a reference complement, for any other novice developer, analyst, or statistician who needs to visualize data accurately and with a careful aesthetic.

How to

The "code" folder houses the multiple practice developments. To work from existing code or generate new subprojects, you are asked to open a branch so you can work freely and comfortably. To date, the work philosophy is not collaborative, so branching from the project is not recommended.

Support

https://afdata.uy

Maintained by

@aleferrariuy


Oficial Seaborn's website here.

About

Data visualization practice with Python using the Seaborn library.

Topics

Resources

License

Stars

Watchers

Forks

Languages