~/talk

Tabs, spaces and salaries: a data science detective story

Talkat NDC Porto 2019 · 2019-02-26..03-01· [data-visualization, machine-learning]
slides:none on file

Stack Overflow’s claim that developers who use spaces earn more is reproduced from the survey but investigation shows why: a regressed model (full vs reduced) and linear regression with adjusted R^2 find indentation adds no predictive power once other variables are present. A mixture model for monthly vs annual uncovers many countries reporting monthly pay as annual, and a chi-square on version control vs salary plus splits by open-source contribution, language and country reveal company type and tooling (git, OSS-heavy languages) drive the gap. All analysis is reproducible on GitHub.

AI-written summary · about

  1. 0:00Start
  2. 21:57COLLINEARITY?
  3. 26:21LANGUAGE AND OPEN SOURCE?
  4. 36:01WHY IS VERSION CONTROL SO IMPORTANT?
  5. 47:18Voter Embarrassment about Trump Support May Have Messed Up Poll Predictions
  6. 48:42CAN YOU TRUST DATA?
  7. 51:44EVELINA GABASOVA Consulting data detective
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