Data Visualization in Python

Building on what we’ve learned from the Python for Data Analysis workshop, this workshop will introduce you to some useful data visualization libraries in Python.

At the end of the workshop, you will be able to

• understand the general idea of plotting in Python
• produce static images as well as interactive plots
• visualize univariate and bivariate data
• understand the difference between matplotlib, seaborn, pandas, bokeh, and plotly

Prerequisites: Introduction to Python (Fall 2020) or Python for Data Analysis (Winter 2021) or prior experience with Python. You also need to have access to Python, either by installing Anaconda for Python 3 on your own computer or by using Jupyter Hub with Python 3 at the GIC. For the latter we will need to create an account for you first. The instructor will contact you at least one day in advance.

This workshop will be hosted online on Zoom and takes about 2.5 hours. Please use your McGill email address to register for the event. You can register until noon the day prior to the workshop. The instructor will be Hongyu Zhang.