数据可视化相关图书会按更新时间、出版时间和评分持续整理，适合从主题维度系统浏览。
Python数据可视化
(印度)科斯·拉曼
评分 5.8分
ggplot2
Hadley Wickham
评分 8.8分
This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison''s Grammar of Graphics to create a powerful and flexible system for creating data graphi
Python数据可视化之美：专业图表绘制指南（全彩）
张杰
评分 6.7分
Python数据可视化之matplotlib精进
刘大成
评分 暂无
《Python数据可视化之matplotlib实践》使用大量的matplotlib 实用案例讲解Python 数据可视化在各个应用方向上的实现方法。通过学习这些实用案例，读者可以更好地掌握Python 数据可视化的高级技能。本书主要由图形、元素、交互、探索和拓展5 部分组成，每部分的实用案例都有利于拓展matplotlib 的应用视野，而且案例中的示例代码只涉及Python 的基础知识。这样，在P
The Elements of Graphing Data
W.S. Cleveland
Envisioning Information
Edward R. Tufte
评分 9.1分
This book celebrates escapes from the flatlands of both paper and computer screen, showing superb displays of high-dimensional complex data. The most design-oriented of Edward Tufte's books, Envisioni
Beautiful Evidence
评分 8.6分
Science and art have in common intense seeing, the wide-eyed observing that generates visual information. Beautiful Evidence is about how seeing turns into showing, how data and evidence turn into exp
数据之美
[美] 邱南森 (Nathan Yau)
评分 7.5分
这是一本教我们如何制作完美可视化图表，挖掘大数据背后意义的书。作者认为，可视化是一种媒介，向我们揭示了数据背后的故事。他循序渐进、深入浅出地道出了数据可视化的步骤和思想。本书让我们知道了如何理解数据可视化，如何探索数据的模式和寻找数据间的关联，如何选择适合自己的数据和目的的可视化方式，有哪些我们可以利用的可视化工具以及这些工具各有怎样的利弊。 作者给我们提供了丰富的可视化
Dear Data
Giorgia Lupi, Stefanie Posavec
评分 8.5分
Equal parts mail art, data visualization, and affectionate correspondence, Dear Data celebrates "the infinitesimal, incomplete, imperfect, yet exquisitely human details of life," in the words of Maria
CiteSpace
李杰, 陈超美
评分 7.8分
陈超美, 李杰
Gnuplot in Action
Philipp Janert
评分 7.7分
HIGHLIGHT Gnuplot in Action is the first comprehensive introduction to gnuplot - from the basics to the power features and beyond. Besides providing a tutorial on gnuplot itself, it demonstrates h
Creating Data Stories with Tableau Public
Ashley Ohmann, Matt Floyd
D3.js数据可视化实战手册
[加]Nick Qi Zhu
评分 7.4分
如今这个互联网时代，人们每天都产生海量的数据，如果直接面对这些数据，可能让人无从下手。将数据可视化，用形象立体的形式将其展现，有利于分析其中的关联，攫取可能存在的商业机会。本书意图通过大量的示例和代码，向读者讲述如何利用D3.js来实现数据可视化。只要读者了解JavaScript，就能完全掌握本书的内容。
Data Feminism
Catherine D'Ignazio, Lauren F. Klein
评分 8.3分
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve
The Grammar of Graphics
Leland Wilkinson
评分 9.4分
Presents a unique foundation for producing almost every quantitative graphic found in scientific journals, newspapers, statistical packages, and data visualization systems The new edition features six
D3.js in Action
Elijah Meeks
Table of Contents Part 1: An Introduction to D3 1 An introduction to D3.js 2 Information Visualization Data Flow 3 D ata-Driven Design and Interaction Part 2: The Pillars of Information Visualization
Now You See It
Stephen Few
This companion to Show Me the Numbers teaches the fundamental principles and practices of quantitative data analysis. Employing a methodology that is primarily learning by example and "thinking with o
Information Dashboard Design
评分 8.1分
Dashboards have become popular in recent years as uniquely powerful tools for communicating important information at a glance. Although dashboards are potentially powerful, this potential is rarely re
The Power of Infographics
Mark Smiciklas
Need to overcome information overload and get your message across? Infographics are your secret weapon. Using them, you can deliver knowledge and ideas visually, so your audiences can understand them
评分 8.7分
The Visual Display of Quantitative Information
The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed
The Wall Street Journal Guide to Information Graphics
Dona M. Wong
Here, the news graphics director at "The Wall Street Journal" gives a step-by-step guide to executing clear and concise graphics for everyone from the average PowerPoint user to the sophisticated prof
Storytelling with Data
Cole Nussbaumer Knaflic
Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of s
Toby Segaran, Jeff Hammerbacher
评分 7分
“数据被证实好比下一代计算机应用的‘因特尔内核’。在本书中，各业界领袖描述了他们的项目如何通过新的方式来驾驭数据的力量。对于任何对未来关于数据和问题解决感兴趣的读者来说，本书是必读的佳作。” ——Tim O’Reilly, O’Reilly Media公司创始人兼CEO 探索数据的范围可以多么广泛，其工作可以多么美丽！通过这部个人故事集合，在这个领域的39个最佳数据实践者阐释了他们如何为各种项目开
The Truthful Art
Alberto Cairo
No matter what your actual job title, you are—or soon will be—a data worker. Every day, at work, home, and school, we are bombarded with vast amounts of free data collected and shared by everyone and
Visualize This
Nathan Yau, 邱南森
评分 8分
Practical data design tips from a data visualization expert of the modern age Data doesn?t decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intende
引文空间分析原理与应用
陈悦, 陈超美, 胡志刚, 王贤文
信息可视化
（英） Robert Spence
评分 6.9分
信息可视化是计算机科学的新兴分支之一，主要利用图形图像技术对大规模数据进行可视化表示，以增强用户对数据更深层次的认知。 本书是英国著名信息可视化专家Robert Spence教授的代表作，也是世界范围内信息可视化领域最为经典的教材之一。该书结构清晰，内容丰富，案例翔实，系统地介绍了信息可视化的概念、技术和应用。通过本书的学习，读者可以了解信息可视化的基本概念和知识，同时培养可视化和交互设计的基本技
数据可视化
陈为
全书共有16 章，分为4 篇。基础篇，阐述数据可视化的基础理论和概念，从人的感知和认知出发，介绍数据模型和可视化基础；时空数据篇，介绍带有空间坐标或时间信息的数据的可视化方法，此类数据通过设备在真实物理空间中采集得到或由科学计算模拟产生；非时空数据篇，描述非结构化和非几何的抽象数据的可视化，这些数据既存在于真实物理空间，又是社会空间和网络信息空间的基本表达形式；用户篇，介绍面向各类数据的可视
