1191970
Book:Making data visual : a practical guide to using visualization for insight / Danyel Fisher and Miriah Meyer.:[2018]:First edition. Book Making data visual : a practical guide to using visualization for insight / Danyel Fisher and Miriah Meyer.
Making data visual : a practical guide to using visualization for insight / Danyel Fisher and Miriah Meyer.
Author: Fisher, Danyel 1975-
Associated Name: Meyer, Miriah, author.
Publication year: [2018]
Language: English
Call Number QA76.9.I52 F57 2018
Media class: Book
Edition: First edition.
Publisher: Sebastopol, CA : O'Reilly Media
ISBN: 9781491928462 1491928468
Notes:
"January 2018." -- Tp. verso.
Extent: xiii, 149 pages : illustrations (chiefly color) ; 23 cm
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Description:
"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." -- Back Cover.
Preface -- Getting to an effective visualization -- From questions to tasks -- Data counseling, exploration, and prototyping -- Components of a visualization -- Single views -- Multiple and coordinated views -- Case study 1: Visualizing telemetry to improve software -- Case study 2: Visualizing biological data -- Conclusions.

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