Making Data Visual

A Practical Guide to Using Visualization for Insight

Nonfiction, Computers, Database Management, Data Processing
Cover of the book Making Data Visual by Danyel Fisher, Miriah Meyer, O'Reilly Media
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Author: Danyel Fisher, Miriah Meyer ISBN: 9781491928424
Publisher: O'Reilly Media Publication: December 20, 2017
Imprint: O'Reilly Media Language: English
Author: Danyel Fisher, Miriah Meyer
ISBN: 9781491928424
Publisher: O'Reilly Media
Publication: December 20, 2017
Imprint: O'Reilly Media
Language: 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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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