Data visualisation with Python

Bioinformatics + Data Services + Infrastructure for Life Sciences

Melbourne Bioinformatics

Overview
Python has a wide range of libraries for plotting and visualising data. Many of these are excellent, but it can be hard for a newcomer to know where to start. We will introduce the range of options available, then do hands-on visualisation exercises with some popular libraries: Matplotlib, Seaborn, and Altair. Seaborn builds on Matplotlib to easily create beautiful statistical visualisations. Altair is intended for interactive visualisation and makes it easy to create complex responsive visualisations. 
Learning Objectives At the end of the course, you will be able to:
<UL>
<LI>be aware of the landscape of visualisation libraries</LI>
<LI>create visualisations of data in Matplotlib, Seaborn and Altair</LI>
<LI>know how to search the documentation for further visualisation functions</LI>
</UL>
Requirements 
This workshop is designed for participants with a basic knowledge of Python. The "Data tidying with Python and Pandas" workshop is recommended as a prerequisite.
Attendees are required to bring their own laptop computers.

Data visualisation with Python

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Data visualisation with Python

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