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Making data visual : a practical guide to using visualization for insight /

"You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you're stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden? If you're a data scientist who struggles t...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Fisher, Danyel, 1975- (Author), Meyer, Miriah (Author)
Format: Electronic eBook
Language:Inglés
Published: Sebastopol, CA : O'Reilly Media, [2018]
Edition:First edition.
Subjects:
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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.