Graphical Data Analysis with R

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Graphical Data Analysis with R

Data science and analysis: general Probability and statistics Information visualization

Author: Antony Unwin

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Collection: Chapman & Hall/CRC The R Series

Language: English

Published by: Chapman and Hall/CRC

Published on: 3rd September 2018

Format: LCP-protected ePub

Size: 11 Mb

ISBN: 9781315360041


See How Graphics Reveal Information

See How Graphics Reveal Information

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.

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