Making Data Visual: A Practical Guide to Using Visualization for Insight

Book 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 tasks, and visualizations to clarify understanding and gain insights along the way.

When incorporated into the process early and often, iterative 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

Table of Contents

Chapter 1. Getting To An Effective Visualization
Chapter 2. From Questions To Tasks
Chapter 3. Data Counseling, Exploration, And Prototyping
Chapter 4. Components Of A Visualization
Chapter 5. Single Views
Chapter 6. Multiple And Coordinated Views
Chapter 7. Case Study 1: Visualizing Telemetry To Improve
Chapter 8. Case Study 2: Visualizing Biological Data
Chapter 9. Conclusions

Book Details

  • Title: Making Data Visual: A Practical Guide to Using Visualization for Insight
  • Author: ,
  • Length: 168 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2018-01-18
  • ISBN-10: 1491928468
  • ISBN-13: 9781491928462
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Download from UsersCloudEPUB20.401/18/2018
Download from ZippySharePDF (Early Release)20.204/13/2016
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