Description

Book Synopsis
Before you can present information to others, you must understand its story. Now You See It teaches the concepts, principles, and practices of visual data sensemaking. The skills taught in this book rely primarily on something that most of us possess—vision—interactively using graphs to find and examine the meaningful patterns and relationships that reside in quantitative data. Although some questions about quantitative data can only be answered using sophisticated statistical techniques, most can be answered using relatively simple visual data sensemaking skills. Until Now You See It was published, no book taught these basic skills comprehensively and in a way that was accessible to a broad audience. Even though these skills can be developed by anyone with eyes to see, they are not intuitive—they must be learned. Without these skills, even the best data visualization tools are of little use, and data will remain nothing but noise.

Now You See It: An Introduction to Visual Data

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    Order before 4pm today for delivery by Wed 17 Jun 2026.

    A Hardback by Stephen Few

    7 in stock


      View other formats and editions of Now You See It: An Introduction to Visual Data by Stephen Few

      Publisher: Analytics Press
      Publication Date: 15/04/2021
      ISBN13: 9781938377129, 978-1938377129
      ISBN10: 1938377125

      Description

      Book Synopsis
      Before you can present information to others, you must understand its story. Now You See It teaches the concepts, principles, and practices of visual data sensemaking. The skills taught in this book rely primarily on something that most of us possess—vision—interactively using graphs to find and examine the meaningful patterns and relationships that reside in quantitative data. Although some questions about quantitative data can only be answered using sophisticated statistical techniques, most can be answered using relatively simple visual data sensemaking skills. Until Now You See It was published, no book taught these basic skills comprehensively and in a way that was accessible to a broad audience. Even though these skills can be developed by anyone with eyes to see, they are not intuitive—they must be learned. Without these skills, even the best data visualization tools are of little use, and data will remain nothing but noise.

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