Explore the planning and design process of creating complex charts and graphics to visualize data.
Overview
Syllabus
Introduction
- Moving beyond basic data viz
- Do you need the basics first?
- What makes a chart or graph advanced?
- How the brain responds to data viz
- The chart selection framework
- What are distribution charts and graphs?
- Density plots explained: What, when, why, and how
- Ridgeline (joy) plots explained: What, when, why and how
- Box plots explained: What, when, why, and how
- Variations of box plots: Violin plots and more
- Sankey diagrams explained: What, when, why and how
- What are comparison charts and graphs?
- Alluvial charts and parallel sets: What, when, why, and how
- Bullet graphs explained: What, when, why, and how
- Radial charts explained: What, when, why, and how
- Radar charts explained: What, when, why and how
- Coxcomb charts: What, when, why and how
- What are relationship charts and graphs?
- Parallel coordinates plots: What, when, why, and how
- Chord diagrams explained: What, when, why, and how
- Using maps for advanced data visualizations
- What are composition charts and graphs?
- Marimekko charts explained: What, when, why, and how
- Sunburst diagrams explained: What, when, why, and how
- Streamgraphs explained: What, when, why, and how
- Continuing to hone your advanced data visualization skills
Taught by
Amy Balliett