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Interactive Graphics for Data Analysis: Principles and Examples (Computer Scienc
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eBay item number:363250512211
Item specifics
- Condition
- Artist
- Theus, Martin; Urbanek, Simon
- ISBN
- 9781584885948
About this product
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1584885947
ISBN-13
9781584885948
eBay Product ID (ePID)
50948529
Product Key Features
Number of Pages
296 Pages
Language
English
Publication Name
Interactive Graphics for Data Analysis : Principles and Examples
Publication Year
2008
Subject
Probability & Statistics / General, Databases / Data Mining
Type
Textbook
Subject Area
Mathematics, Computers
Format
Hardcover
Dimensions
Item Height
0.7 in
Item Weight
21.7 Oz
Item Length
9.5 in
Item Width
6.5 in
Additional Product Features
Intended Audience
College Audience
LCCN
2008-038130
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
006.6
Synopsis
Interactive Graphics for Data Analysis: Principles and Examples discusses exploratory data analysis (EDA) and how interactive graphical methods can help gain insights as well as generate new questions and hypotheses from datasets. Fundamentals of Interactive Statistical Graphics The first part of the book summarizes principles and methodology, demonstrating how the different graphical representations of variables of a dataset are effectively used in an interactive setting. The authors introduce the most important plots and their interactive controls. They also examine various types of data, relations between variables, and plot ensembles. Case Studies Illustrate the Principles The second section focuses on nine case studies. Each case study describes the background, lists the main goals of the analysis and the variables in the dataset, shows what further numerical procedures can add to the graphical analysis, and summarizes important findings. Wherever applicable, the authors also provide the numerical analysis for datasets found in Cox and Snell's landmark book. Understand How to Analyze Data through Graphical Means This full-color text shows that interactive graphical methods complement the traditional statistical toolbox to achieve more complete, easier to understand, and easier to interpret analyses.
LC Classification Number
QA276.3
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