When statistics become stories
summary
Argues that raw census and crime counts become useful only after cleaning, cultural framing and visual mapping, showing a workflow that turns messy registers into person-centric evidence. Demonstrates making hotspot maps and histograms from noisy government tables, scans roughly 5,000 profiles to match photos with criminal-record entries, and reduces thousands of rows to a few verifiable metrics. Claims this method surfaces misleading tallies and produces shareable visuals that actually explain why a number matters.
AI-written summary · about
chapters (7)
- 0:00Introduction to talk
- 2:05Numbers vs engaging stories
- 6:04Data collection challenges
- 10:03Election data insights
- 14:08Misleading information risks
- 18:04Cultural context in data
- 20:37Audience understanding matters
related talks
25mDon't give me the DATA!
38mThe Art of Telling Stories with Data
14mStorytelling in the Age of Big Data
40mA Few Good Public Servants: How Great Analysis Inspires Action
51mStories Beat Statistics: Master the Art & Science of Data Storytelling
11mData Visualization & Storytelling
48mData Visualization in Practice
08mEvil Uses of Data