A structured design approach to equip you with the knowledge of how to successfully accomplish any data visualization challenge efficiently and effectively
Overview
A portable, versatile and flexible data visualization design approach that will help you navigate the complex path towards success
Explains the many different reasons for creating visualizations and identifies the key parameters which lead to very different design options.
Thorough explanation of the many visual variables and visualization taxonomy to provide you with a menu of creative options.
In Detail
Do you want to create more attractive charts? Or do you have huge data sets and need to unearth the key insights in a visual manner? Data visualization is the representation and presentation of data, using proven design techniques to bring alive the patterns, stories and key insights locked away.
"Data Visualization: a Successful Design Process" explores the unique fusion of art and science that is data visualization; a discipline for which instinct alone is insufficient for you to succeed in enabling audiences to discover key trends, insights and discoveries from your data. This book will equip you with the key techniques required to overcome contemporary data visualization challenges.
You'll discover a proven design methodology that helps you develop invaluable knowledge and practical capabilities.
You'll never again settle for a default Excel chart or resort to 'fancy-looking' graphs. You will be able to work from the starting point of acquiring, preparing and familiarizing with your data, right through to concept design. Choose your 'killer' visual representation to engage and inform your audience.
"Data Visualization: a Successful Design Process" will inspire you to relish any visualization project with greater confidence and bullish know-how; turning challenges into exciting design opportunities.
What you will learn from this book
A comprehensive and contemporary introduction to data driven visualization design and the most effective approaches to tackle any design challenge.
How to achieve maximum impact with designs that engage on an aesthetic level and perform on a functional one.
Foundation understanding of the human visual system
Identifying the purpose of your visualization and your projects parameters to determine overriding design considerations across your project's execution
How to develop analytical questions and identify a visual narrative as you immerse yourself in your data, familiarizing with its inherent qualities
Apply critical thinking to visualization design and get intimate with your dataset to identify its potential visual characteristics
Appreciating the importance of an editorial approach to design and best practice approaches for tackling different data types and problem contexts
A thorough overview of the anatomy of a data visualization design and a menu of the most important and innovative visualization methods
Overview of the essential visualization tools and resources
Profile of some of the most impressive and inspiring contemporary visualization projects
Approach
A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process.
Andy Kirk
Andy Kirk is a freelance data visualization design consultant, training provider, and editor of the popular data visualization blog, visualisingdata.com.
After graduating from Lancaster University with a B.Sc. (Hons) degree in Operational Research, he spent over a decade at a number of the UK's largest organizations in a variety of business analysis and information management roles.
Late 2006 provided Andy with a career-changing "eureka" moment through the serendipitous discovery of data visualization and he has passionately pursued this subject ever since, completing an M.A. (with Distinction) at the University of Leeds along the way.
In February 2010, he launched visualisingdata.com with a mission to provide readers with inspiring insights into the contemporary techniques, resources, applications, and best practices around this increasingly popular field. His design consultancy work and training courses extend this ambition, helping organizations of all shapes, sizes, and industries to enhance the analysis and communication of their data to maximize impact.
This book aims to pass on some of the expertise Andy has built up over these years to provide readers with an informative and helpful guide to succeeding in the challenging but exciting world of data visualization design.
RT, 讲了4种分类, 然后每种分类下有哪些图表等, 很不错 RT, 讲了4种分类, 然后每种分类下有哪些图表等, 很不错
评分RT, 讲了4种分类, 然后每种分类下有哪些图表等, 很不错 RT, 讲了4种分类, 然后每种分类下有哪些图表等, 很不错
评分RT, 讲了4种分类, 然后每种分类下有哪些图表等, 很不错 RT, 讲了4种分类, 然后每种分类下有哪些图表等, 很不错
评分RT, 讲了4种分类, 然后每种分类下有哪些图表等, 很不错 RT, 讲了4种分类, 然后每种分类下有哪些图表等, 很不错
评分RT, 讲了4种分类, 然后每种分类下有哪些图表等, 很不错 RT, 讲了4种分类, 然后每种分类下有哪些图表等, 很不错
这本书《Data Visualization》的出现,对我来说,是一场关于“洞察”的启蒙。我一直深信,好的数据可视化能够穿透迷雾,直击本质,而这本书恰恰做到了这一点。它不像市面上许多泛泛而谈的书籍,而是深入挖掘了数据可视化背后的逻辑,从认知心理学到信息架构,都有涉猎。让我印象深刻的是,书中关于“如何选择合适的图表”的论述,它不是简单地列出几种图表,而是引导读者去思考数据的类型、想要传达的信息、以及目标受众的特点,从而做出最恰当的选择。此外,书中对于“叙事性”的强调,也让我豁然开朗。我以前觉得做图表就是把数据画出来,但这本书告诉我,真正的挑战在于如何用图表来讲述一个引人入胜的故事,让读者在轻松愉悦的过程中获取信息,甚至产生共鸣。这本书让我意识到,数据可视化不仅仅是一种技术,更是一种思维方式,一种能够帮助我们更好地理解世界、沟通思想的强大工具。
评分《Data Visualization》这本书,对我来说,是一次关于“看见”的重塑。我一直觉得,数据是隐藏在幕后的,需要通过各种方式去挖掘和解读。然而,这本书却像一位魔法师,用各种精妙的视觉语言,将那些隐藏的数据一一呈现在我的眼前,而且是以一种如此清晰、如此有力的形式。书中对不同可视化元素的分析,从点、线、面到色彩、形状,都充满了洞察力。它让我明白,每一个视觉元素的选择都不是偶然的,而是需要经过深思熟虑,以达到最佳的传达效果。我特别喜欢书中关于“信息层级”和“视觉焦点”的讨论,这让我开始意识到,一个好的数据可视化作品,能够引导读者的视线,让他们自然而然地注意到最重要的信息,而不会被次要的细节所淹没。读完这本书,我感觉自己对信息的处理能力和对视觉语言的感知能力都得到了质的飞跃,仿佛拥有了一双能够“看见”数据背后真相的眼睛。
评分刚拿到《Data Visualization》这本书时,我抱着学习一些图表制作技巧的心态。然而,翻开书页,我立刻被它独特的视角所吸引。作者并非简单地教授“如何画出条形图或折线图”,而是深入探讨了“为什么”我们需要这些图表,以及“如何”通过精心设计来最大化信息的传达效率。它让我意识到,数据的呈现方式直接影响着信息的接收者是否能够理解、是否会被说服,甚至是否会产生行动。书中关于色彩选择、布局安排、以及如何避免误导性图表的章节,都给了我极大的启发。我以前总以为颜色只是为了让图表更好看,但这本书却告诉我,每一种颜色都有其特定的心理暗示和文化含义,合理运用可以增强图表的表达力,反之则可能带来混淆。同样,章节中关于用户体验的讨论,也让我开始思考,数据可视化不仅仅是技术活,更是一门艺术,一门与人沟通的艺术。它需要我们站在接收者的角度去思考,用最清晰、最直接的方式把信息传递出去。这本书让我明白,掌握数据可视化,就是掌握了一把解锁复杂信息、连接人心的钥匙。
评分这本《Data Visualization》给我的感觉就像是一次意想不到的旅程,出发点是为了寻找一种更直观、更有说服力的方式来呈现数据,结果却意外地打开了理解信息世界的新视角。我一直觉得数据本身是冰冷的,但这本书却像一位经验丰富的向导,带领我穿越那些看似杂乱无章的数字海洋,发现其中隐藏的美丽图案和深刻含义。书中对不同可视化图表类型的介绍,不仅仅是罗列它们的功能,更是深入剖析了每种图表是如何抓住人眼球的,又如何引导读者沿着作者设计的思路去解读信息。我尤其喜欢书中关于“讲故事”的部分,它提醒我,好的数据可视化不仅仅是画图,更是要用视觉语言有效地传达一个故事,让原本枯燥的数字变得生动有趣,能够引起共鸣。读完之后,我开始重新审视我过去处理过的那些数据报告,感觉以前的呈现方式太过于单一和刻板,错失了很多与受众建立连接的机会。现在,我更有信心去探索那些未知的、更具表现力的可视化方式,去发现数据背后的更多可能性,让信息不再是冰冷的数字,而是能够打动人心的故事。
评分《Data Visualization》这本书,对我来说,更像是一本关于“思考”的指南,而不仅仅是关于“工具”的书。我一直对那些能够把复杂问题变得简单明了的视觉呈现方式感到好奇,而这本书恰恰满足了我的这份好奇心。它不是那种教你下载某个软件,然后一步步操作的“菜鸟教程”,而是更侧重于解释数据可视化背后的核心原则和设计哲学。作者通过大量的案例分析,展现了优秀的数据可视化作品是如何在众多的信息噪音中脱颖而出的,又是如何引导读者去关注最重要的信息点。我发现,很多时候,我们之所以无法理解某个数据,并非是数据本身有多么复杂,而是它的呈现方式没有抓住重点,或者存在一些视觉上的干扰。这本书让我学会了如何去“阅读”图表,不仅仅是看它显示了什么数字,更是要去理解图表背后所要传达的意图,以及设计者是如何通过视觉元素来强化这个意图的。读完这本书,我感觉自己对信息的理解能力和表达能力都得到了提升,仿佛拥有了一双能够洞察数据背后的“慧眼”。
评分对设计原则的讲解中规中矩。胜在出版时间比较近,用的工具也比较新。
评分对设计原则的讲解中规中矩。胜在出版时间比较近,用的工具也比较新。
评分对设计原则的讲解中规中矩。胜在出版时间比较近,用的工具也比较新。
评分类似于数据可视化的Design Pattern
评分对设计原则的讲解中规中矩。胜在出版时间比较近,用的工具也比较新。
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