# clauswilke/dataviz

A book covering the fundamentals of data visualization

Repository: https://github.com/clauswilke/dataviz
Canonical: https://ross.abutalabs.com/products/dataviz
Homepage: https://clauswilke.com/dataviz
Language: HTML
License: NOASSERTION
License Family: other
Last push: 2022-07-27T08:06:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3378, "days_push": 1498, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3516, forks 751 (observed 2026-08-28T04:08:07.860511+00:00)

## What it is
The source repository for the book 'Fundamentals of Data Visualization' by Claus O. Wilke, published by O'Reilly Media, written in R Markdown with bookdown. It teaches principles for making accurate, professional, story-telling data visualizations, with a free rendered version available online.

## Use cases
- learn fundamentals of data visualization
- improve charts and figures for publications
- learn how to choose the right chart type
- understand visualization principles like color, scales, and uncertainty
- find a free online data visualization textbook
- teach a data visualization course

## When to choose
- you want to learn visualization design principles independent of any specific tool
- you need a free, authoritative reference on making professional figures
- you are a student or researcher preparing data figures

## When to avoid
- you want a programming tutorial with runnable code for a specific library
- you need a software tool or library rather than a book
- you need content you can legally modify or redistribute (CC BY-NC-ND license)

## Facets
- artifact type: learning-resource
- maturity: stable
- function: data-visualization, documentation
- domain: data-visualization, data-science, education, tutorials
- platform: python
- tags: book, r-markdown, bookdown, oreilly, visualization-principles, web-server

## Member repositories
- clauswilke/dataviz (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:07.860511+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:35:34.926268+00:00, confidence not recorded.
  - readme: https://github.com/clauswilke/dataviz (fetched 2026-08-28T04:08:07.860511+00:00, sha 350ef728d972)
  - homepage: https://clauswilke.com/dataviz (fetched 2026-08-29T09:29:23.340665+00:00, sha eeaa4a65f011)
  - site_page: https://clauswilke.com/dataviz/bibliography.html (fetched 2026-08-29T09:29:23.343459+00:00, sha 408751a911b9)
- Data as of 2026-08-30T08:39:29.467469+00:00.