🎢 Data Manipulation and Publication-Grade Plots. A talk by Shangbo Wu on Feb 20th, 2023.

This is a short 40-minute talk made towards my lab group (consisting mostly of students on path to graduation --- bachelor, master, and PhD all included), where we discuss:

• In what format should data be logged during experiments (CSV, long-form data)
• By what means should data be read and manipulated to prepare for plotting (with pandas)
• What library should be used for plotting publication-grade figures (I recommend seaborn)

Additionally, topics on wide-form and long-form data, data and attribute types, choosing color palettes based on data, extending seaborn with matplotlib where necessary, etc., are covered.

Note: Unfortunately, the recordings of this talk will not be made publicly available.

Creative Commons CC0 1.0 Universal