探索数据之美：《数据可视化之美》专家分享

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《Beautiful Visualization: 可视化之美》是由Julie Steele和Noah Iliinsky合编的一本专著，由O'Reilly Media出版。这本书聚焦于数据可视化的重要性，它将艺术设计与数据分析紧密结合起来，旨在帮助读者通过视觉元素更好地理解和解释复杂的数据信息。书中的20多位专家，涵盖了艺术家、设计师、评论家、科学家、分析师和统计学家等多个领域的专业人士，分享了他们在各自领域中创造具有洞察力和美感的可视化项目的经验。作者们强调，优秀的可视化不仅追求艺术美感，更注重通过巧妙的设计展现细节，从而引导读者发现数据背后的模式和趋势。例如，书中可能会探讨如何利用地图（如纽约地铁图）来呈现人口流动，或者如何构建人脑图来展示神经网络的复杂结构。通过这些案例，读者可以学习到如何选择合适的图表类型、颜色编码、布局和交互设计，以便传达信息的同时保持清晰和直观。书中可能还涉及了数据可视化的基本原则，如清晰度、可读性、对比度、视觉层次和信息过载的管理。此外，对于不同数据类型（如时间序列、地理空间、分类数据等）的可视化方法和最佳实践也会有所阐述。此外，本书可能还会讨论最新的技术和工具，如数据科学软件、可视化库和在线平台，以及如何利用这些工具进行实时数据可视化和动态交互式体验。《Beautiful Visualization》不仅是一本理论书籍，更是实践指南，为那些希望提升数据讲述能力的读者提供了一个全面的学习平台。无论是数据科学家、商业分析师，还是设计师，都可以从中获得灵感和技巧，以创新的方式将复杂的数据转化为引人入胜的故事，让读者在欣赏美的同时，深入洞悉数据背后的世界。

xiv

PREFACE

Conventions Used in This Book

The following typographical conventions are used in this book:

Italic

Indicates new terms, URLs, email addresses, filenames, and file extensions. Also

used for emphasis in the text.

Constant width

Used for program listings, as well as within paragraphs to refer to program ele-

ments such as variable or function names, databases, data types, environment

variables, statements, and keywords.

Constant width bold

Used for emphasis within code listings.

Constant width italic

Shows text that should be replaced with user-supplied values or by values deter-

mined by context.

Using Code Examples

This book is here to help you get your job done. In general, you may use the code in

this book in your programs and documentation. You do not need to contact us for

permission unless you’re reproducing a significant portion of the code. For example,

writing a program that uses several chunks of code from this book does not require

permission. Selling or distributing a CD-ROM of examples from O’Reilly books does

require permission. Answering a question by citing this book and quoting example

code does not require permission. Incorporating a significant amount of example code

from this book into your product’s documentation does require permission.

We appreciate, but do not require, attribution. An attribution usually includes the title,

author, publisher, and ISBN. For example: “Beautiful Visualization, edited by Julie Steele

If you feel your use of code examples falls outside fair use or the permission given

above, feel free to contact us at permissions@oreilly.com.

BEAUTIFUL VISUALIZATION

so not because they were designed to be novel, but because they were designed to be

effective; their novelty is a byproduct of effectively revealing some new insight about

the world.

Informative

The key to the success of any visual, beautiful or not, is providing access to informa-

tion so that the user may gain knowledge. A visual that does not achieve this goal has

failed. Because it is the most important factor in determining overall success, the abil-

ity to convey information must be the primary driver of the design of a visual.

There are dozens of contextual, perceptive, and cognitive considerations that come

into play in making an effective visual. Though many of these are largely outside the

scope of this chapter, we can focus on two particulars: the intended message and the con-

text of use. Keen attention to these two factors, in addition to the data itself, will go far

toward making a data visualization effective, successful, and beautiful; we will look at

them more closely a little later.

Efficient

A beautiful visualization has a clear goal, a message, or a particular perspective on

the information that it is designed to convey. Access to this information should be as

straightforward as possible, without sacrificing any necessary, relevant complexity.

A visual must not include too much off-topic content or information. Putting more

information on the page may (or may not) result in conveying more information to

the reader. However, presenting more information necessarily means that it will take

the reader longer to find any desired subset of that information. Irrelevant data is the

same thing as noise. If it’s not helping, it’s probably getting in the way.

Aesthetic

The graphical construction—consisting of axes and layout, shape, colors, lines, and

typography—is a necessary, but not solely sufficient, ingredient in achieving beauty.

Appropriate usage of these elements is essential for guiding the reader, communicat-

ing meaning, revealing relationships, and highlighting conclusions, as well as for visual

appeal.

The graphical aspects of design must primarily serve the goal of presenting informa-

tion. Any facet of the graphical treatment that does not aid in the presentation of

information is a potential obstacle: it may reduce the efficiency and inhibit the suc-

cess of a visualization. As with the data presented, less is usually more in the graphics

department. If it’s not helping, it’s probably getting in the way.

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探索数据之美：《数据可视化之美》专家分享

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Beautiful-Visualization-with-R-master.zip

Beautiful-Visualization-with-python-master.rar

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visualization:关于可视化的一切-可视化

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