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Data Points: Visualization That Means…
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Data Points: Visualization That Means Something (original: 2013; edição: 2013)

de Nathan Yau (Autor)

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1523139,944 (4)Nenhum(a)
A fresh look at visualization from the author of VisualizeThis Whether it's statistical charts, geographic maps, or the snappygraphical statistics you see on your favorite news sites, the artof data graphics or visualization is fast becoming a movement ofits own. In Data Points: Visualization That Means Something,author Nathan Yau presents an intriguing complement to hisbestseller Visualize This, this time focusing on thegraphics side of data analysis. Using examples from art, design,business, statistics, cartography, and online media, he exploresboth standard-and not so standard-concepts and ideas aboutillustrating data. Shares intriguing ideas from Nathan Yau, author of VisualizeThis and creator of flowingdata.com, with over 66,000subscribers Focuses on visualization, data graphics that help viewers seetrends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as wellas from professionals in statistics, art, design, business,computer science, cartography, and more Examines standard rules across all visualization applications,then explores when and where you can break those rules Create visualizations that register at all levels, with DataPoints: Visualization That Means Something.… (mais)
Membro:tfredcarpenter
Título:Data Points: Visualization That Means Something
Autores:Nathan Yau (Autor)
Informação:Wiley (2013), Edition: 1, 320 pages
Coleções:Sua biblioteca
Avaliação:
Etiquetas:information, design, graphics, visual, feb2020

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Data Points: Visualization That Means Something de Nathan Yau (2013)

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Data Points reads like a friendly textbook engaged with visualization. It is less concerned with tips and tricks, and more concerned with understanding. For instance, on the neverending debate on pie charts, Yau pleads neutrality. He sees that pie charts have
their place, albeit a limited one, in the visualization domain. As such, he promotes freedom and the ability to choose above all.


There are lots of data that need appropriate visualization in today's world. The ability to procure data on just about anything has gone up astronomically in recent years. Yau's approach does not offer a lot towards programmers who want to mass-produce visualizations. Instead, this author of FolowingData.com focuses on building one powerful, elegant visualization at a time. He's less an artist and more a statistician (belying his PhD in Statistics). He focuses on communicating the right message through visualization of your data.

As is customary in books like this, the examples tend to carry the narrative. While the communication of the principles of visualization is the primary message of this book, Yau carries his story through interesting examples of how people communicate (and sometimes miscommunicate) with data. While not as erudite and varied as Tufte's compilations, Yau's work provides much food for thought as the reader analyzes the graphics. Reading this book is simply fun.
( )
  scottjpearson | Jan 25, 2020 |
Following on from the success of Visualize This, the author aims to extend the scope of his topic to a more general take on data visualization. Different phases of the work process are covered and the book is more independent of specific tools and software. However, many of the examples and main ideas are the same as in the previous book, and it sometimes feels more like a revision that a sequel.
  jonas.lowgren | Aug 23, 2018 |
This is a great primer on what data visualization is and how the author goes about it. For a visualization to mean something, it must speak to the audience. If that happens, the visualization is successful; it is not dogmatic. This is also not a step-by-step guide to using a particular vis package (for that see, e.g., Yau's "Visualize This.") It is a call for mindfulness in creating a visualization. ( )
  encephalical | Jul 21, 2017 |
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A fresh look at visualization from the author of VisualizeThis Whether it's statistical charts, geographic maps, or the snappygraphical statistics you see on your favorite news sites, the artof data graphics or visualization is fast becoming a movement ofits own. In Data Points: Visualization That Means Something,author Nathan Yau presents an intriguing complement to hisbestseller Visualize This, this time focusing on thegraphics side of data analysis. Using examples from art, design,business, statistics, cartography, and online media, he exploresboth standard-and not so standard-concepts and ideas aboutillustrating data. Shares intriguing ideas from Nathan Yau, author of VisualizeThis and creator of flowingdata.com, with over 66,000subscribers Focuses on visualization, data graphics that help viewers seetrends and patterns they might not otherwise see in a table Includes examples from the author's own illustrations, as wellas from professionals in statistics, art, design, business,computer science, cartography, and more Examines standard rules across all visualization applications,then explores when and where you can break those rules Create visualizations that register at all levels, with DataPoints: Visualization That Means Something.

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