194,75 €
216,39 €
-10% with code: EXTRA
Graphical Data Analysis with R
Graphical Data Analysis with R
194,75
216,39 €
  • We will send in 10–14 business days.
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,…
  • Publisher:
  • ISBN-10: 1498715230
  • ISBN-13: 9781498715232
  • Format: 15.5 x 23.9 x 1.8 cm, hardcover
  • Language: English
  • SAVE -10% with code: EXTRA

Graphical Data Analysis with R (e-book) (used book) | bookbook.eu

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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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194,75
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  • Author: Antony Unwin
  • Publisher:
  • ISBN-10: 1498715230
  • ISBN-13: 9781498715232
  • Format: 15.5 x 23.9 x 1.8 cm, hardcover
  • Language: English English

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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