TY  - BOOK
AU  - Fisher,Danyel
AU  - Meyer,Miriah
TI  - Making data visual: a practical guide to using visualization for insight 
SN  - 9781491928462
AV  - QA76.9.I52 F57 2018
U1  - 005.74 23
PY  - 2018///]
CY  - Beijing
PB  - O'Reilly Media
KW  - Information visualization
KW  - Data mining
KW  - Visualization
KW  - Data processing
KW  - Databases
KW  - Information Systems
KW  - Electronic Data Processing
KW  - Data Display
KW  - Computer Communication Networks
KW  - COMPUTERS / Data Processing
KW  - bisacsh
KW  - COMPUTERS / Data Visualization
KW  - COMPUTERS / Databases / Data Mining
KW  - fast
KW  - Daten
KW  - gnd
KW  - Visualisierung
N1  - 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
N2  - "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."--
ER  -