~/talk

Visualizing FragDenStaat.de

Talkat PyData Berlin 2016 · 2016-05-20..05-21· [data-visualization, python]
links:none on file
slides:none on file

FragDenStaat.de data gets scraped from the FragDenStaat.de API into pandas dataframes and plotted with pandas and matplotlib; the dataset contains over 12000 requests and time stamps for each message. Visual analysis finds roughly 50% of requests are fully or partially successful, a spike of ~2000 simultaneous requests after a campaign, and many responses missing the 30 day legal limit. Code and reproducible plots live on the linked GitHub.

AI-written summary · about

  1. 0:00FragDenStaat.de intro
  2. 2:27Data structure and collection
  3. 7:13Cleaning data with pandas
  4. 7:56Request volume over time
  5. 9:27Request success rates
  6. 11:39Response times analysis
  7. 14:30Further data insights & NLP
  8. 16:00Conclusion & future work
  9. 17:30Q&A
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