Editing Community Data Science Course (Spring 2019) (section)

=== Week 9: May 29 ===

'''Assignment Due:'''

Nothing! But I hope you are making good progress.

'''Course Plan'''

* Follow up from last week: let's discuss inference and A/B testing.
** [https://www.exp-platform.com/Documents/2016-11BestRefutedCausalClaimsFromObservationalStudies.pdf Examples of bad observational studies]
* Visualization dos and don'ts. We'll discuss the European Environmental Agency's [https://www.eea.europa.eu/data-and-maps/daviz/learn-more/chart-dos-and-donts list of advice for making charts]. **I will refer to this guide as a grade your final projects.**
* Two options for remainder of class. You can work through this introductory guide to visualization in python or you can work on your final project. I'll be here to answer any questions.

'''Optional visualization in python tutorial'''
Self-guided visualization tutorial in python. [https://raw.githubusercontent.com/guyrt/teaching/master/2019/Com520B/VisualizationNotebook.ipynb Download here]. Save the file in a new directory in your desktop and open it with jupyter notebook

If you are on Windows, you may run into an issue with missing path variables. [https://stackoverflow.com/questions/52821162/jupyter-notebook-failed-to-load-dll This SO post helped me solve it.]