This hands-on workshop will cover the basics of data visualization using Seaborn (https://seaborn.pydata.org), a library for the Python programming language. We will cover how to create plots using numeric and categorical data, as well as the creation of multi-panel figures for data exploration and presentation.

Instructor: James Adams, Manager of Research and Data Services, Harvard Kennedy School

Pre-class instructions:
Attendees don’t need much experience with Python, though a basic familiarity with the language will be helpful. We’ll want to get started right away, so please make sure to install JupyterLab or Jupyter Notebook (https://jupyter.org/install) prior to arrival. Alternatively, attendees are welcome to use Google Colab (https://colab.research.google.com) if they have existing Google accounts. Please contact James Adams if you encounter any difficulties with setup.