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Graphical data analysis with R

By: Unwin, Antony.
Series: Chapman &​ Hall/​CRC the R Series. Publisher: Boca Raton CRC Press 2015Description: xiii, 296 p.ISBN: 9781498715232.Subject(s): Information visualization | Visual analytics | Data mining - Graphic methods | R Computer program languageDDC classification: 001.4226 Summary: Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout. (https://www.crcpress.com/Graphical-Data-Analysis-with-R/Unwin/p/book/9781498715232)
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Slot 5 (0 Floor, West Wing) Non-fiction 001.4226 U6G7 (Browse shelf) Available 192548

Table of Contents:

1.Setting the Scene

2.Brief Review of the Literature and Background Materials

3.Examining Continuous Variables

4.Displaying Categorical Data

5.Looking for Structure: Dependency Relationships and Associations

6.Investigating Multivariate Continuous Data

7.Studying Multivariate Categorical Data

8.Getting an Overview

9.Graphics and Data Quality: How Good Are the Data?

10.Comparisons, Comparisons, Comparisons

11.Graphics for Time Series

12.Ensemble Graphics and Case Studies

13.Some Notes on Graphics with R

14.Summary

References
General Index
Datasets Index

Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA.

Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.

(https://www.crcpress.com/Graphical-Data-Analysis-with-R/Unwin/p/book/9781498715232)

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