~/talk

The Dota 2 Landscape in R

Talkat satRday Johannesburg 2019 · on Saturday, 2019-04-06· [data-engineering, machine-learning]
slides:none on file

Downloads a curated CSV of pro matches from DAP Toto, queries the match API to pull JSON, and uses R JSON flattening and list unnesting to tidy nested match records for analysis. Finds the 2018 prize pool was 25.5 million prize pool and shows that winning teams hold >50% kill share until ~45 minutes, after which kill share weakens as a predictor. In games with a 0–10 kill-gap the team kill participation metric strongly predicts victory.

AI-written summary · about

  1. 0:00Introduction
  2. 0:25What is Dota 2
  3. 1:09Why choose Dota 2
  4. 1:51Recipe
  5. 2:30API
  6. 2:41Data wrangling
  7. 3:05Data structure
  8. 3:29Terminology
  9. 4:02Results
  10. 4:47Kill Share
  11. 5:23Kill Gap
  12. 6:02Conclusion
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