Standard syllabus
Data visualization · Undergraduate · Statistics
Topics
Visual perception and design
- Principles of effective data visualization
- Color, contrast, and accessibility
- Chart junk and misleading axes
- Choosing chart types for data types
- Small multiples and faceting
Grammar of graphics
- ggplot2 layered grammar in R (or equivalent)
- Mapping aesthetics to variables
- Scales, coordinates, and themes
- Interactive visualization (plotly, Shiny intro)
- Geospatial visualization basics
Communication
- Storytelling with data
- Dashboard design principles
- Visualization for exploratory vs explanatory analysis
- Critique and revision of published graphics
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$60.00 · 60 min · Undergraduate · Online ($60/hr)
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