Overview
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Do data viz the right way every time. Get data visualization tips to choose the right visualization, chart relationships, visualize data distributions, create maps, and more.
Syllabus
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Introduction
- The tips and tricks to data visualization
- What you should know
- Exercise files
- Why visualize data?
- What kind of visualization should you make?
- Visualize comparisons in data
- Bar charts across categories
- Line charts over time
- Sparklines for important events
- Gantt charts and time difference
- Treemaps for long tail data
- Highlight tables and heat maps
- Slope charts for changes between dates
- Optimize dashboard layout with small multiples
- Visualize relationships in data
- Compare multiple variables within scatter plots
- Visualize data distributions
- Histograms for a single measure
- Box plots for multiple dimensions
- Visualize data composition
- Improve the use of pie charts
- Stacked bar charts
- 100% stacked bars
- Stacked area chart
- 100% stacked area chart
- Visualize geographic data
- When to map geographic data
- Compare filled maps and symbol maps
- Alternative techniques with tilemaps
- Next steps for more data visualization
