# Visualize-ML/Book2_Beauty-of-Data-Visualization

Book_2_《可视之美》 |   鸢尾花书：从加减乘除到机器学习，欢迎批评指正

Repository: https://github.com/Visualize-ML/Book2_Beauty-of-Data-Visualization
Canonical: https://ross.abutalabs.com/products/book2_beauty-of-data-visualization
Language: Jupyter Notebook
License Family: other
Last push: 2026-05-01T14:43:22+00:00

## Health v2 (maintenance only)
Score: 68/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 80, release rhythm 35, longevity 98
- inputs: {"age_days": 1385, "days_push": 124, "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 3798, forks 824 (observed 2026-08-28T04:08:20.034170+00:00)

## What it is
Book2 'Beauty of Data Visualization' is an open-source Chinese textbook from the Iris (鸢尾花) book series, delivered as Jupyter Notebooks covering data visualization from basic arithmetic to machine learning. It is part of a series that also includes books on statistics, math essentials, and matrices.

## Use cases
- learn data visualization with python notebooks
- free open-source textbook on matplotlib visualization
- study math and statistics through visual examples
- learn machine learning foundations visually
- find chinese-language data science learning materials
- explore plotting techniques from basics to advanced

## When to choose
- you want a free, notebook-based introduction to data visualization
- you prefer learning math/statistics/ML concepts through visual intuition
- you read Chinese and want structured open courseware

## When to avoid
- you need a software library or tool rather than educational content
- you need English-language materials
- you need production-ready visualization code with support or license guarantees

## Facets
- artifact type: learning-resource
- maturity: active
- function: data-visualization, data-science, charts
- domain: data-visualization, data-science, education, tutorials
- platform: python, cross-platform
- tags: jupyter-notebooks, chinese-language, open-textbook, matplotlib, iris-book-series, math-visualization

## Member repositories
- Visualize-ML/Book2_Beauty-of-Data-Visualization (main) score 68

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:20.034170+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 2026-08-29T18:26:55.101484+00:00, confidence not recorded.
  - readme: https://github.com/Visualize-ML/Book2_Beauty-of-Data-Visualization (fetched 2026-08-28T04:08:20.034170+00:00, sha add8cc951010)
- Data as of 2026-08-30T08:39:29.467469+00:00.