Same Data, Different Tools: Visualizing with R and Python
summary
Recreates W.E.B. Du Bois’s 1900 Paris Exposition county maps using 1870 and 1880 census and shapefile data; R workflow uses tidyverse ggplot2, grid viewports and extrafonts with precise manual placement and black‑outlined legend circles, Python workflow uses pandas, matplotlib subplots and font_manager with custom figure axis and legend handling; both overlayed Georgia census tracts via tigris/pygris and used randomized alpha shading to mimic watercolor, used grid viewports for precise layout and capital I for numeral one; code and data live on GitHub.
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chapters (6)
- 0:00Introduction to the challenge
- 1:35Project goals and scope
- 5:11Shared visualization elements
- 7:03Python implementation
- 11:23R implementation
- 13:45Comparison and conclusions
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