Several times a year, Chicago Booth's IGM Economic Experts Panel surveys dozens of leading economists on major public policy issues, ranging from the effects of a $15 minimum wage to those from the Brexit. The panel publishes summary statistics for each survey, such as how many economists agreed or disagreed with the survey question and their confidence in their responses. However I was interested in the other ways the data could be explored: for example, do economists from different research institutions vote differently? Which economists respond to the survey most and least often? Which economists have the most verbose comments?

This project represents the results of a series on data science in name, theory and practice. I chose this dataset because analyzing it required every step along the data pipeline, from scraping to cleaning to analyzing and visualizing data. Though I could have included a couple more graphs (which are in the code), I decided instead to show only the most interesting ones. First, some summary statistics about the dataset - there are:

132 survey topics between Sept. 2011 and today

195 survey questions (ie. some topics include more than one question)

51 surveyed economists (40 male, 11 female), between 6 and 9 from each university

And now for some charts...

Which economists responded to the survey most and least often?