Data Science for Feminist Comebacks
summary
Uses Data Science and Data Visualization tools to create gender-perspective visualizations (e.g., salary gap, workplace sexism, work–family balance) by processing raw datasets from open data portals. Shows how to clean and visualize those datasets to extract patterns and insights, and provides a set of open-data sources and a repeatable process so others can reproduce the analyses for different parameters.
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chapters (11)
- 0:00Introduction
- 1:25Project approach
- 3:32Data science process
- 9:45Gender stereotypes in children's books
- 12:47Bechdel test in films
- 14:11Google Colab demo
- 18:22Gender violence and official data
- 21:51Gender violence maps by province
- 25:44Time-use inequalities
- 28:16Reduced hours for childcare
- 30:418M tweets map
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