M6: Data Automation and Visualization

This sixth module we will take a look at ways ways to streamline and automate collection and processing tasks with given a large amount of data. We can use Python to make the collection easier but in this module, we will show you few techniques provided to use via the command shell to perform a few “preprocessing” tasks before writing our Python programs. We will also look at ways to visualize this data in Python use Seaborn.

Pre-recorded Lectures

The pre-recorded lectures are available here. You can also find the videos under the “Panopto” tab on the CAPP 30122 canvas site.

These videos will be posted after Thursday’s lecture.

• 6.1 - Data Visualization with Seaborn (Part 1)

• 6.2 - Data Visualization with Seaborn (Part 2) -> This video is long but is broken down by timestamps via Panopto. You can watch what you find interesting to your project.

Supplementary Resources

• Bash scripting cheatsheet

• Python Virtual Environments

Programming Assignment

No assignment for this module week. Please work on your group projects.