Further Reading: Visualization Gallery
Tier 1: Essential Reading
The Python Graph Gallery. python-graph-gallery.com The web gallery that inspired this chapter. Organized by chart type with Python code. Bookmark and use alongside this chapter.
From Data to Viz. data-to-viz.com An interactive decision tree that guides you from your data type to the appropriate chart type. Elegant and educational. Linked to both R and Python code.
Plotly Python Gallery. plotly.com/python/ Every Plotly chart type with interactive examples. The best reference for Plotly-specific chart types.
Tier 2: Recommended Specialized Sources
Schwabish, Jonathan. Better Data Visualizations. Columbia University Press, 2021. A modern chart-type guide organized by purpose. Covers many of the chart types in this gallery with design advice and historical context.
Wilke, Claus O. Fundamentals of Data Visualization. clauswilke.com/dataviz. Wilke's free online book covers chart types with excellent visual examples. Organized differently from this gallery but covering much of the same ground.
Kirk, Andy. Data Visualisation: A Handbook for Data Driven Design. 2nd ed. SAGE, 2019. A comprehensive handbook organized by chart function. Good for understanding the design rationale behind chart-type choices.
Holtz, Yan. "The R Graph Gallery." r-graph-gallery.com. Even if you use Python, the R Graph Gallery has excellent examples and design commentary. Many patterns transfer directly.
Tufte, Edward R. The Visual Display of Quantitative Information. 2nd ed. Graphics Press, 2001. The original inspiration for many chart-type references. Tufte's examples are drawn from historical sources and are worth studying for their design quality.
Tier 3: Tools and Online Resources
| Resource | URL / Source | Description |
|---|---|---|
| Python Graph Gallery | python-graph-gallery.com | Web gallery with matplotlib, seaborn, Plotly code. |
| Data to Viz | data-to-viz.com | Interactive decision tree for chart selection. |
| Altair example gallery | altair-viz.github.io/gallery/ | Altair-specific gallery with grammar-of-graphics code. |
| seaborn example gallery | seaborn.pydata.org/examples/ | seaborn-specific gallery organized by chart type. |
| Observable gallery | observablehq.com/@d3/gallery | D3/Observable gallery for web-native interactive examples. |
| Datawrapper chart types | academy.datawrapper.de/category/chart-types | Datawrapper's guide to when to use each chart type. |
| Flourish templates | flourish.studio/visualisations/ | Interactive templates organized by chart type. |
| Chart.js samples | chartjs.org/docs/latest/samples/ | JavaScript chart library samples. |
| Vega-Lite examples | vega.github.io/vega-lite/examples/ | Vega-Lite gallery. Altair generates Vega-Lite specs. |
| Financial Times Visual Vocabulary | ft.com/vocabulary | The FT's chart selection guide, organized by question type. A professional reference. |
| Graphic Continuum | policyviz.com/2014/09/09/graphic-continuum/ | A poster mapping chart types to their purposes. |
A note on reading order: This is the final further-reading section in the book. The most useful ongoing references are the Python Graph Gallery (for code patterns), Data to Viz (for chart selection), and the FT Visual Vocabulary (for design guidance). Bookmark all three. For deeper study of specific chart types, Schwabish's Better Data Visualizations is the most modern and comprehensive single source. For the permanent foundations, return to Tufte and Wilke.
Thank you for reading this book. The gallery is your parting gift — a permanent reference for the rest of your visualization career. Use it well.