~/talk

Exploring StackOverflow data

Talkat NDC London 2017 · 2017-01-16..01-20· [data-visualization, machine-learning]
slides:none on file

Whole StackOverflow XML dump (~100–135 GB) is preprocessed into a ~1.5 GB CSV and analyzed with CSV type provider in F#; a weekend index compares weekend vs weekday questions and finds Python skews to weekends while C# skews to workdays. Geocoding of ~5M users yields ~800k locatable entries (83% matchable) and a programmers-per-million metric by country. Community structure uses t-SNE embedding on 800 tags × 1,600 power users; text analysis uses word2vec analogies. Regression on 18M answers shows favorites and accepted answers strongly predict score, with high-leverage outliers from John Skeet.

AI-written summary · about

  1. 0:00Start
  2. 4:20QUESTIONS
  3. 15:38QUESTION: WHERE?
  4. 31:37TAGS define RELATIONS
  5. 45:03STACKOVERFLOW A MERITOCRACY?
  6. 49:58SIDE OF THINGS
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