Data Visualisation in Python

Course Materials

Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries

Configuring plot elements within seaborn and matplotlib

Exploring different types of plots using seaborn

Either \Learn to Program: Python\ or \Learn to Program: Python\ and \Python for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: Python\ and \Python for Research\ courses to ensure that you are familiar with the knowledge needed for this course.

We also strongly recommend attending the \Data Manipulation in Python.

DOI: 10.5281/zenodo.6423716

Licence: All Rights Reserved

Contact: training@intersect.org.au

Keywords: Python


Additional information

Status: Active

Authors: Intersect Australia

Data Visualisation in Python https://staging.dresa.org.au/materials/data-visualisation-in-python [Course Materials](https://intersectaustralia.github.io/training/PYTHON203/sources/Data-Adv_Python.zip) Using the Grammar of Graphics to convert data into figures using the seaborn and matplotlib libraries Configuring plot elements within seaborn and matplotlib Exploring different types of plots using seaborn Either \Learn to Program: Python\ or \Learn to Program: Python\ and \Python for Research\ needed to attend this course. If you already have experience with programming, please check the topics covered in the \Learn to Program: Python\ and \Python for Research\ courses to ensure that you are familiar with the knowledge needed for this course. We also strongly recommend attending the \Data Manipulation in Python\. training@intersect.org.au Python