What is book2_beauty-of-data-visualization?

visualize-ml/book2_beauty-of-data-visualization — explained in plain English

Analysis updated 2026-07-03

★ 3,678Jupyter NotebookAudience · dataComplexity · 2/5Setup · easy

Mindmap

mindmap
  root((beauty-of-data-visualization))
    What it is
      Book companion code
      Chinese language book
      Peacock Book Series
    Format
      Jupyter Notebooks
      Runnable Python code
      Inline charts
    Topics
      Data visualization
      Chart examples
    Audience
      Data science learners
      Chinese readers

mindmap root((beauty-of-data-visualization)) What it is Book companion code Chinese language book Peacock Book Series Format Jupyter Notebooks Runnable Python code Inline charts Topics Data visualization Chart examples Audience Data science learners Chinese readers

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What do people build with it?

USE CASE 1

Work through interactive data visualization examples in Python by running the companion notebooks alongside the Chinese-language book.

USE CASE 2

Explore how to create various chart types in Python by experimenting with runnable code cells in each notebook.

USE CASE 3

Use the notebooks as a self-study guide to data visualization techniques covered in the Peacock Book Series.

What is it built with?

PythonJupyter Notebook

How does it compare?

	visualize-ml/book2_beauty-of-data-visualization	onnx/tutorials	ashishpatel26/andrew-ng-notes
Stars	3,678	3,675	3,683
Language	Jupyter Notebook	Jupyter Notebook	Jupyter Notebook
Setup difficulty	easy	moderate	easy
Complexity	2/5	3/5	1/5
Audience	data	data	researcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

No installation instructions provided, requires Python and Jupyter Notebook to run the examples.

License details not mentioned in the explanation.

So what is it?

This repository is the companion code for a Chinese-language book titled "Beauty of Data Visualization" (可视之美), which is the second volume in a series called the Peacock Book Series. The series is described as covering topics from basic arithmetic through to machine learning, and this particular volume focuses on data visualization. The code is written as Jupyter Notebooks, which are interactive documents that mix explanatory text, charts, and runnable Python code. This format is common for educational material in data science, since readers can open the notebooks and run the examples themselves rather than just reading static text. The README is written in Chinese and is very brief. It contains links to discounted purchase pages on Zhihu, a Chinese knowledge-sharing platform, for this book and two companion volumes covering statistics and mathematics. The author notes the open-source materials are permanently available and that readers who submit corrections will receive a copy of the book as thanks. There are no installation instructions or usage examples in the README itself.

Copy-paste prompts

Prompt 1

Open these Jupyter Notebooks and show me how to reproduce the data visualizations in chapter 3 using Python.

Prompt 2

Which Python libraries are used across these visualization notebooks, and how do I install them to run the examples?

Prompt 3

How do I run the Jupyter Notebooks from book2_beauty-of-data-visualization locally on my machine?

Prompt 4

Show me how to modify one of the chart examples in these notebooks to use my own dataset.

Frequently asked questions