Making data visual : a practical guide to using visualization for insight /
Fisher, Danyel, 1975-
Making data visual : a practical guide to using visualization for insight / Danyel Fisher and Miriah Meyer. - First edition. - xiii, 149 pages : illustrations (chiefly color) ; 23 cm
Includes bibliographical references and index.
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.
"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 to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It's ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data. With this book, you'll learn: Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be explored; Visualization patterns, each of which take a different perspective on data and answer different questions; A taxonomy of visualizations for common data types; Techniques for gathering design requirements; When and where to make use of statistical methods."--
9781491928462
2018304426
GBB704535 bnb
018171667 Uk
Information visualization.
Data mining.
Visualization--Data processing.
Databases.
Information Systems.
Electronic Data Processing.
Data Display.
Computer Communication Networks.
COMPUTERS / Data Processing.
COMPUTERS / Data Visualization.
COMPUTERS / Databases / Data Mining.
Data mining.
Databases.
Information visualization.
Visualization--Data processing.
Daten
Visualisierung
QA76.9.I52 / F57 2018
005.74 / F.D.M
Making data visual : a practical guide to using visualization for insight / Danyel Fisher and Miriah Meyer. - First edition. - xiii, 149 pages : illustrations (chiefly color) ; 23 cm
Includes bibliographical references and index.
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.
"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 to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It's ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data. With this book, you'll learn: Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be explored; Visualization patterns, each of which take a different perspective on data and answer different questions; A taxonomy of visualizations for common data types; Techniques for gathering design requirements; When and where to make use of statistical methods."--
9781491928462
2018304426
GBB704535 bnb
018171667 Uk
Information visualization.
Data mining.
Visualization--Data processing.
Databases.
Information Systems.
Electronic Data Processing.
Data Display.
Computer Communication Networks.
COMPUTERS / Data Processing.
COMPUTERS / Data Visualization.
COMPUTERS / Databases / Data Mining.
Data mining.
Databases.
Information visualization.
Visualization--Data processing.
Daten
Visualisierung
QA76.9.I52 / F57 2018
005.74 / F.D.M