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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
Main Authors: Fisher, Danyel, Meyer, Miriah (Author)
Format: eBook
Language:English
Published: Sebastopol, CA O'Reilly Media 2018
Edition:First edition
Subjects:
Visualisierung / Gnd
Information Systems
Computers / Data Processing / Bisacsh
Computer Communication Networks
Computers / Databases / Data Mining / Bisacsh
Visualization / Data Processing
Analyse Visuelle
Information Storage And Retrieval Systems / Http://id.loc.gov/authorities/subjects/sh85066163
Réseaux D'ordinateurs
Databases / Fast
Daten / Gnd
Systèmes D'information
Information Visualization / Http://id.loc.gov/authorities/subjects/sh2002000243
Visual Analytics / Http://id.loc.gov/authorities/subjects/sh2007004134
Databases / Http://id.loc.gov/authorities/subjects/sh86007767
Informatique
Computer Networks / Http://id.loc.gov/authorities/subjects/sh85029513
Visualisation / Informatique
Information Display Systems / Http://id.loc.gov/authorities/subjects/sh85066140
Computers / Data Visualization / Bisacsh
Data Display
Visualisation De L'information
Visualization / Data Processing / Fast
Affichage (technique)
Visual Analytics / Fast
Electronic Data Processing
Information Visualization / Fast
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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
  • Includes bibliographical references and index

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