Communicate complex ideas quickly and thoroughly with data visualization. Entice and inform your audience with effective, and maybe creative, design.
Overview
Syllabus
Introduction
- The essence of data visualization
- What is data visualization?
- Ask what makes a good data visualization
- Why visualize data?
- Three focal points
- What your data is saying
- What your audience needs to hear
- What you really want to say
- Explanatory vs. exploratory
- The true "so what" and goals
- Human visual perception and pre-attentive processing
- Choose charts with intention
- Cheat sheets
- What goes in the chart?
- Comparison visualizations
- Correlation visualizations
- Distribution visualizations
- Composition visualizations
- Geographic visualizations
- Flow visualizations
- Hierarchical visualizations
- Creative, innovative visualizations
- Other factors when choosing visualizations
- The importance of sketching
- What's the "so what"?
- Pre-attentive processing and design
- Keeping it fresh and predictable
- Thoughtful use of color
- Setting scales
- Labels and annotations
- Making numbers relatable
- Accessibility
- When and how to use animation and interactivity
- Ruthless editing
- Next steps
Taught by
Bill Shander
