Data Points
Visualization That Means Something
By Nathan Yau
Publisher: Wiley
Released: March 2013
Pages: 320

Reveal the story your data has to tell

To create effective data visualizations, you must be part statistician, part designer, and part storyteller. In his bestselling book Visualize This, Nathan Yau introduced you to the tools and programming techniques for visualization. Now, in Data Points, he explores the thinking process that helps you create original, meaningful visualizations that your audience will both understand and remember. Here's how to make your data mean something.

  • Discover what data is and what you can learn from it
  • Learn how to explore your data, find the story, and bring it to life
  • Understand visualization as a medium that lets you present and express meaning in data
  • Tap into your creative side and determine the most effective way to tell your story
  • Compare tools for exploration and analysis
  • Allow data, the story, and your goals to dictate visualization techniques with geometry, traditional charts, maps, color, art, and even humor
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oreillyData Points
 
3.8

(based on 5 reviews)

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80%

of respondents would recommend this to a friend.

Pros

  • Easy to understand (4)
  • Well-written (4)

Cons

    Best Uses

    • Intermediate (4)

    Reviewed by 5 customers

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    4.0

    Tukey, Tufte and Yau: Oh My!

    By jfreddd

    from San Francisco, CA

    About Me Designer, Developer, Maker

    Verified Reviewer

    Pros

    • Accurate
    • Concise
    • Easy to understand
    • Helpful examples
    • Well-written

    Cons

      Best Uses

      • Intermediate
      • Novice
      • Student

      Comments about oreilly Data Points:

      Having used and puzzled over graphic representations of data for some time, I find this to be a broad, level-headed perspective. Mr. Yau covers the major forms of data representation, offers methods for extracting meaning from information, and surveys visual cues one may use to clarify the points one wishes to to make.

      Students and beginning data communicators will find much of value here. Intermediate practitioners will appreciate the practical coverage.

      I mention Tukey and Tufte. This book is accessible to a wide range of thoughtful data communicators. It pays respectful attention to the basics of statistics and visual honesty. This compact tome will get you going in the right direction if you need help living up to the masters' examples.

      The book concludes with an up to date--but very sketchy--survey of current tools. Mr. Yau will get you going in the visualization kitchen with a firm boost to your sense of taste. Then you go and get understanding through practice, ok?

       
      5.0

      Great book.

      By Ghost

      from Canada

      Pros

      • Easy to understand
      • Well-written

      Cons

        Best Uses

        • Intermediate

        Comments about oreilly Data Points:

        If you are working with open source data and need some good advice on how to analyse your information, this a great source.

         
        1.0

        Underwhelming

        By Jimmyboy

        from Bangalore, India

        Comments about oreilly Data Points:

        Nathan Yau's first book Visualise This was a treat, something that I would encourage all data visualisation enthusiasts to buy. This failed quite thoroughly as a good sequel to his first book.

         
        4.0

        Great Book!

        By hummer010

        from Alberta, Canada

        About Me Developer

        Verified Reviewer

        Pros

        • Accurate
        • Concise
        • Easy to understand
        • Well-written

        Cons

          Best Uses

          • Intermediate

          Comments about oreilly Data Points:

          Very interesting book about a very broad category. Well organized and logical.

          (1 of 3 customers found this review helpful)

           
          5.0

          A really nice book, pdf quality is great

          By mahonj

          from Dublin, Ireland

          About Me Machine Vision Engineer

          Verified Reviewer

          Pros

          • Beautiful
          • Clear
          • Easy to understand
          • Helpful examples
          • Inspiring
          • Well-written

          Cons

            Best Uses

            • Expert
            • Intermediate

            Comments about oreilly Data Points:

            I use this for ideas n how to display information
            I am mostly interested in geographical information.
            The examples are very good and clearly explained.

            In general, once you see them, you get it.

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