~/talk

Tabs, spaces and salaries: a data science detective story

Talkat NDC London 2019 · 2019-01-30..02-01· [data-visualization, machine-learning]
slides:none on file

Stack Overflow survey shows developers who report using spaces have higher median pay, but analysis uses linear regression on thousands of responses and finds the model explains only adjusted R² ≈ 0.39. Dropping indentation shifts weights onto open-source contributions and years experience; a small high‑paid subgroup aligns with git users. International data contain misreported monthly vs annual salaries and nonrandom missing pay, so the effect is explained by confounders and data quality rather than causation.

AI-written summary · about

  1. 0:00Start
  2. 6:15THINGS TO CHECK
  3. 8:53Gene significantly associated with language learning P-VALUE PROBLEMS
  4. 12:17SAMPLE SIZE?
  5. 22:43TABS, SPACES, OPEN SOURCE & SALARY How does it fit together?
  6. 41:54MACHINE LEARNING
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