# From Data to Viz

> Decision tree for choosing the right chart for your type of data

- Category: Data & charts (`data`)
- Tags: `learning`
- Official: https://www.data-to-viz.com/
- Wunderlust: https://wunderlust.xyz/r/from-data-to-viz
- Image: https://wunderlust.xyz/media/from-data-to-viz-poster.jpg
- Video preview: https://wunderlust.xyz/media/from-data-to-viz.webm
- Added: 2026-11-05

## What it is

From Data to Viz, by Yan Holtz and Conor Healy, helps you choose a chart: you indicate the data type and a decision tree suggests suitable formats.

## What it’s for

For deciding which chart to use before designing a visualization and finding the code to build it.

## Benefits

- About 40 chart types grouped by purpose
- Each type leads to code, mainly in R, with links to galleries in Python, React and D3
- Gallery of common mistakes, such as pie charts, rainbow palettes and overplotting

## Caveats

- A printed poster of the tree is for sale, and there is an optional newsletter.

## Similar on Wunderlust

- [Storytelling with Data](https://wunderlust.xyz/r/storytelling-with-data.md): Books, workshops and a blog on data communication and visualization
- [Bklit UI](https://wunderlust.xyz/r/bklit-ui.md): Chart and data visualization library, with skills for agents
- [Building effective agents](https://wunderlust.xyz/r/building-effective-agents.md): Anthropic article on patterns for workflows and agents
- [Apple Human Interface Guidelines](https://wunderlust.xyz/r/apple-human-interface-guidelines.md): Apple's official guidelines for interface design
- [CC for PMs](https://wunderlust.xyz/r/cc-for-pms.md): Author's site with articles and courses on Claude Code for PMs
- [50 Design Styles Every Designer Should Know for Better Prompting](https://wunderlust.xyz/r/50-design-styles-for-better-prompting.md): Article with 50 design styles for naming AI prompts precisely