THE MORNING WILL BE USED FOR EXPLORING DATA VISUALIZATION THROUGH PLOTS
The files for today are available on the Google Drive linked here. Ideally, they would all be downloaded together for easy access.
There are two main Jupyter notebooks that we will work through:
I also encourage you, if there is time remaining in this session, to locate a visualization that you like on line, ideally one that is presented as a tutorial with downloadable data and code, and try to get it to run on your machine. It is a valuable exercise, and one that you will likely find yourself engaged in if you intend to do much data visualization in Python.
Work together and try to help each other problem solve. If things go as they normally do when engaging in data visualization tasks, you may find yourselves needing to install many new libraries, many of which resist clean installation. This is not something to be feared, but it can be frustrating, and I have personally had to give up on modeling several nice visualizations due to the sheer impossibility of getting my system set up to run the code being shared. I would also not be surprised if some of your are able to reproduce visualizations that others in the class cannot, as a lot is dependent on how your system was set up and how to went about installing all the new modules you need (yes, it is quite a task). But -- when you DO get a visualization that works for you -- all the effort seems worth it!
This is the very short lecture material that was used for the class that I taught at UW (and the reason why I created the Jupyter notebook you worked through first this morning).