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Title details for Making Data Visual by Danyel Fisher - Available

Making Data Visual

by Danyel Fisher
Miriah Meyer
ebook
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You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you're a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way.

When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world.

You'll learn:

  • The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualization
  • The role that visual representations play in data discovery
  • Common visualization types by the tasks they fulfill and the data they use
  • Visualization techniques that use multiple views and interaction to support analysis of large, complex data sets
    • Expand title description text
    Publisher: O'Reilly Media

    Kindle Book

    • Release date: December 20, 2017

    OverDrive Read

    • ISBN: 9781491928424
    • File size: 21365 KB
    • Release date: December 20, 2017

    EPUB ebook

    • ISBN: 9781491928424
    • File size: 21365 KB
    • Release date: December 20, 2017

    Formats

    Kindle Book
    OverDrive Read
    EPUB ebook

    subjects

    Computer Technology Nonfiction

    Languages

    English

    You have a mound of data front of you and a suite of computation tools at your disposal. Which parts of the data actually matter? Where is the insight hiding? If you're a data scientist trying to navigate the murky space between data and insight, this practical book shows you how to make sense of your data through high-level questions, well-defined data analysis tasks, and visualizations to clarify understanding and gain insights along the way.

    When incorporated into the process early and often, iterative visualization can help you refine the questions you ask of your data. Authors Danyel Fisher and Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world.

    You'll learn:

  • The data counseling process for moving from general to more precise questions about your data, and arriving at a working visualization
  • The role that visual representations play in data discovery
  • Common visualization types by the tasks they fulfill and the data they use
  • Visualization techniques that use multiple views and interaction to support analysis of large, complex data sets
    • Expand title description text
    Computer Technology Nonfiction