Tutorial 3

Tutorial: Data Visualization with Altair

Teacher: Natkamon Tovanich

We will create data visualization charts with the Altair library in Python. Altair is a powerful library that allows you to create various types of charts from the grammar of graphics.

Before the class

1. In this tutorial, you can choose whether to use Google Colaboratory or install Anaconda and Jupyter Notebook.
2. In case you use Jupyter Notebook on your local machine, you need to install the Altair library.
   • If you use Jupyter Notebook on your local machine, make sure that the Altair library did work before the class by running this demo on your local machine.

Basic Charts

The student notebook for this tutorial is available for download: Part 1 and Part 2.

• Click File > Save a Copy in Drive to clone the tutorial notebook into your Colab Notebooks.
• Click File > Download > Download .ipynb to download the notebook on your local computer.

Selection and Interaction

We will continue using the Altair library to add interactions (e.g., binding, selection, and condition) to charts.

The student notebook is available for download here.

Acknowledgment: The tutorials are based on Exploratory Data Visualization with Altair tutorial at PyCon 2018 by Jake Vanderplas and Eitan Lees and Visualization Curriculum from the University of Washington.