Here are the presentation materials from my presentation in Seattle on 9/24/2019.
Introduction
- Data Visualization is Storytelling
- It takes trial and error to find the best representation
- Less is More
Tips
- Cycle through many graph types and layouts
- Fit the graph type to the message
- Use multiple graph elements (sparingly)
- Find the right level of abstraction
- Use multiple data views, with a dashboard
- Brushing datapoints can show relationships
- Use 3D graphs with motion
- Tall tables call for data filter
- Wide tables call for column switcher
- Overloading (multiple roles for one column) is OK
- Call out important datapoints with color, labels
- Drill down: subset, graphlets
A few Don'ts
- Don't break the axis
- Don't use pie charts
- Don't use unnecessary ornamentation
- Don't abuse bubble plots
- Don't mislead
Explorers Data Viz JBH 2019.zip
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