Graphical Data Analysis with R (Chapman & Hall/CRC The R Series) - Tapa blanda

Libro 35 de 73: Chapman & Hall/CRC The R

Unwin, Antony

 
9781032477312: Graphical Data Analysis with R (Chapman & Hall/CRC The R Series)
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ISBN 10: 1032477318 ISBN 13: 9781032477312
Editorial: Chapman and Hall/CRC, 2023

Sinopsis

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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Acerca del autor

Antony Unwin is a professor of computer-oriented statistics and data analysis at the University of Augsburg. He is a fellow of the American Statistical Society, co-author of Graphics of Large Datasets, and co-editor of the Handbook of Data Visualization. His research focuses on data visualisation, especially in interactive graphics. His research group has developed several pieces of interactive graphics software and written packages for R.

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Editorial
Chapman and Hall/CRC
Año de publicación
2023
Idioma
Inglés
ISBN 10 
1032477318
ISBN 13 
9781032477312
Encuadernación
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Número de edición
1
Número de páginas
310
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9781498715232: Graphical Data Analysis with R (Chapman & Hall/CRC The R Series)

Edición Destacada

ISBN 10:  1498715230 ISBN 13:  9781498715232
Editorial: Chapman and Hall/CRC, 2015
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