Discover the Best Data Visualization Books for Python, R, Excel, and Tableau

Visualization is a powerful communication interface that enhances data perception and persuasive storytelling, and it also aids signal filtering, searching, and judgment during data exploration.

To celebrate the New Year, we share a curated list of essential visualization books that can help you tell better data stories.

Python Visualization Books

Python Data Visualization Beauty: Professional Chart Guide (Full Color) by Zhang Jie – Introduces matplotlib, Seaborn, plotnine, and Basemap, covering 2D and 3D charts, commercial vs. academic chart standards, and HTML interactive charts.

Python Matplotlib Advanced Techniques by Liu Dacheng – Focuses on advanced matplotlib graphics such as geometric, composite, 3D, interactive, map, and animation charts.

Python Matplotlib Practice by Liu Dacheng – Provides practical cases for creating various charts with matplotlib, emphasizing flexible function usage and object‑oriented syntax.

Python Fractal and Data Visualization Guide by Hu Jie – Uses Turtle, Matplotlib, and NumPy to teach fractal algorithms and Python plotting, suitable for beginners interested in fractals.

Python Commercial Data Visualization Practice by Wang Guoping – Covers ten commercial visualization cases and nine Python libraries (Matplotlib, Seaborn, Pyecharts, Bokeh, HoloViews, Plotly, Pygal, plotnine, Altair).

R Visualization Book

R Data Visualization Beauty: Professional Chart Guide (Enhanced) by Zhang Jie – Explains ggplot2, ggraph, circlize, plot3D, and provides examples of 2D/3D charts, geographic visualizations, and academic chart styling.

Excel Visualization Book

Excel Data Beauty: Scientific and Business Chart Creation (Full Color) by Zhang Jie – Introduces chart styles from Tableau, D3.js, Matlab, Origin, and includes an EasyCharts Excel plug‑in for color picking, data extraction, and chart beautification.

GraphPad Prism Book

GraphPad Prism Academic Charts (Full Color) by Zhang Min – Systematically teaches Prism 9, over 50 academic chart types, and provides downloadable source files.

Tableau Books

Business Visualization Analysis: Tableau Method from Problem to Chart by Xi Lejun – Describes a problem‑driven visualization framework covering seven basic question types and advanced analysis techniques.

Tableau Data Visualization Analysis Made Easy (Video Edition) by He Ye et al. – Video‑enhanced guide for Tableau beginners with case videos and learning materials.

Data Visualization Analysis: Tableau Principles and Practice (Full Color) by Xi Lejun – Explains the DIKW model, visualization psychology, Tableau Prep Builder, and end‑to‑end analysis workflow.

Learn Tableau Visualization with Ada by You Yue Da – Offers 77 practical examples covering data preparation, chart creation, collaboration, and advanced analytics.

Power BI Book

Power BI Data Cleaning and Interactive Visualization Analysis by Chen Jian – Provides a fast‑track guide to Power BI, covering data cleaning, DAX functions, and interactive visual analytics.

Each book includes detailed descriptions, author information, and key topics, helping readers choose resources that match their skill level and visualization needs.