Data Visualization is important means of communicating about your data. This workshop will cover how to use the Matplotlib and Pandas libraries, two widely used python libraries for manipulating data and then visualizing it in charts and graphs. We will read common data types into python using Pandas and perform some manipulations on the data to prepare for visualization, and use Matplotlib to make multiple types of figures. The workshop will also introduce you to using JupyterLab / Jupyter Notebooks environments.

This workshop assumes you have Anaconda installed and have some basic experience using python, including how to install and import packages as well some basic understanding of variables and expressions in Python. We will be using a Jupyter Lab/Notebook environment for our coding, but it is not necessary to have used it before this workshop. Before attending this workshop, you should complete Lessons 1, and 2 (optional lessons 3, 4, and 5 if you have time to go a little deeper) in the Research Computing materials for the Summer Python series if you’re new to Python. We won’t review these ideas in the workshop, but if you have questions about the material, or need help getting Python set up, reach out to Erich (epurpur@virginia.edu) before the scheduled workshop.

This workshop will be offered synchronously over Zoom - a link will be mailed to registrants approximately one day before the workshop time. The workshop will not be recorded. We are offering the workshops multiple times throughout the semester, but if none of those times work, you are welcome to review the materials from the workshop, and reach out to Erich (epurpur@virginia.edu) for a consultation.