《可视化之美》——探索数据的艺术

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"可视化之美.Beautiful.Visualization.文字版.pdf" 《可视化之美》是一本由Julie Steele和Noah Iliinsky编辑的书籍，由O'Reilly Media, Inc.出版。这本书探讨了数据可视化领域的美学与实用技巧，旨在帮助读者理解和创作出令人印象深刻的视觉展示。书中涵盖了多种类型的可视化方法，包括信息图表、数据故事、交互式界面等，旨在通过视觉设计的力量传达复杂的信息和数据。可视化是现代数据分析和决策制定的关键工具，它能够将大量的数据转化为易于理解的图形和图像。《可视化之美》深入剖析了如何有效地选择和应用不同的可视化技术，如柱状图、折线图、散点图、热力图以及地图等。书中不仅介绍了设计原则，如颜色理论、比例、对比和布局，还强调了清晰性和可读性的重要性，以确保观众能快速地解读信息。编辑Julie Steele和Noah Iliinsky邀请了众多专家和实践者贡献他们的经验和见解，这使得本书的内容丰富多样，涵盖了从基础理论到高级策略的广泛主题。书中包含的实际案例分析和设计指南，有助于读者在实际工作中应用这些原则。此外，书中的生产团队包括编辑Julie Steele、生产编辑Rachel Monaghan、校对员Rachel Head、索引编制者Julie Hawks，以及封面和内页设计师等，确保了内容的专业性和视觉吸引力。封面的设计，包括O'Reilly标志性的动物插图，以及“Beautiful Visualization”的形象，都成为了O'Reilly Media, Inc.的注册商标，体现了该书在行业的独特地位。该书还讨论了制造商和卖家在市场推广中使用的各种标识，暗示了可视化在商业领域中的重要性。对于数据科学家、信息设计师、产品经理、记者以及其他需要处理和展示数据的从业者来说，《可视化之美》是一本不可或缺的参考书籍，它提供了一个全面的视角来提升数据可视化的质量和效果。

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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《可视化之美》——探索数据的艺术

python可视化之美.zip

System.Windows.Forms.DataVisualization.dll 3.5 版本

system.windows.forms.datavisualization.dll

beautiful visualization pdf版

using system.windows.forms.datavisualization.charting;需要安装那个包

报错AttributeError: 'open3d.cpu.pybind.visualization.ViewControl' object has no attribute 'set_distance'

使用了Open3D库中的visualization连续帧可视化时可视化角度控制

Consider defining a bean of type 'com.cscec81.cloud.service.visualization.service.OtherService' in your configuration.

o3d.visualization.Visualizer动态切换成o3d.visualization.VisualizerWithVertexSelection示例

错误 6 “System.Windows.Forms.DataVisualization.Charting.Series”不包含“ColorPalette”的定义，并且找不到可接受类型为“System.Windows.Forms.DataVisualization.Charting.Series”的第一个参数的扩展方法“ColorPalette”(是否缺少 using 指令或程序集引用?)

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