~/talk

Sport analysis with Python

Talkat PyCon.DE 2017 · 2017-10-25..10-27· [data-visualization, python]
name:Thuy Le
links:none on file
slides:none on file

Dataset contains player x y positions and device id sampled at 20 millisecond timestamps and yields about ≈600,000 records for a ~46 minute match. Python code computes per-device match time, distance, per-second velocity, and extracts turning points via path‑simplification and angle thresholds; results show total per‑player distance under a kilometer and peak speeds of velocity up to 9.7 m/s. Outputs export to Tableau for visualization showing heatmaps, runs, and substitutions.

AI-written summary · about

  1. 0:00Intro
  2. 3:15Data analysis
  3. 5:10Velocity
  4. 9:10Turning point
  5. 13:25Visualization
  6. 20:18Coffee break
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