Painting a Picture of Public Data
summary
Uses public emergency-department data to show concrete changes: average wait times rose from 46.5 to 58.1 minutes (≈25%) and urban ~62.4 vs rural ~40 minutes, institutes a five-step storytelling workflow (introduce data, scope limits, flag significant relationships, connect to action, empathize), notes the dataset gives median per hospital so no patient‑level causal claims, and proposes practical fixes—device to prefill records, manager frontline interviews, cross‑site training—and reports these ideas as implementable recommendations rather than finished products.
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chapters (8)
- 0:00Mural data concept
- 2:51Neural data via community art
- 7:49Storytelling in data science
- 12:27Five steps to data storytelling
- 16:05ED wait times analysis
- 23:49Data science as art
- 29:22Data scientists as advisors
- 31:20Q&A
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