Pitfalls and practical applications of data visualization - Interview with Julie Rodriguez
summary
Argues that visualization tools are not use-case driven and drown users in choices so people resort to trial-and-error; documents a finance-focused, use-case approach with examples for marketing, traders, middle and back office; introduces compact encodings like glyphs, tweaks to familiar charts such as slanted bars and triangle-end markers, and prototypes a redesigned ticker to surface price context; cites Processing and processing.js plus collections like Visual Complexity and FlowingData as practical tool and inspiration sources.
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chapters (7)
- 0:00Intro
- 1:07Tools are not use casedriven
- 2:13Look at examples
- 2:50Pitfalls
- 3:32Followup
- 4:19Use cases
- 5:56Modern methods
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