Editing Data Into Insights (Spring 2021) (section)

== Week 3: Data insights and data stories ==


February 2

'''Assignment Due:'''
* [[#Discussion Questions|Discussion questions]]

'''Readings:'''
* Effective Data Storytelling (EDS) Ch. 1--3 ([https://purdue-primo-prod.hosted.exlibrisgroup.com/permalink/f/vjfldl/PURDUE_ALMA51860241510001081 Purdue libraries copy])
* Matei, S. [https://purdue.brightspace.com/d2l/le/content/208726/viewContent/4750659/View What is a (data) story?]
* [https://purdue.brightspace.com/d2l/le/content/208726/viewContent/5392546/View Counterfactuals and Storytelling lecture ] [4:49]
* (Optional) Levy, J. (2015). [https://www-tandfonline-com.ezproxy.lib.purdue.edu/doi/full/10.1080/09636412.2015.1070602 Counterfactuals, Causal Inference, and Historical Analysis]
* (Optional) [https://towardsdatascience.com/storytelling-for-data-scientists-317c2723aa31 Storytelling for Data Scientists]
* (Optional) [https://towardsdatascience.com/how-to-properly-tell-a-story-with-data-and-common-pitfalls-to-avoid-317d8817e0c9 How to properly tell a story with data — and common pitfalls to avoid] 

'''Class Schedule:'''
* Identifying insights
* Counterfactual thinking
* The role of statistics