Antony Unwin

Graphical Data Analysis with R (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book focuses on why one draws graphics to display data and which graphics to draw (and uses R to do so). 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. All the datasets are available in R or one of its packages and the R code is available online. Color graphics are used throughout the book.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 310
• Erscheinungstermin: 3. September 2018
• Englisch
• ISBN-13: 9781315360041
• Artikelnr.: 54791933

Autorenporträt

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.

Inhaltsangabe

Setting the Scene. Brief Review of the Literature and Background Materials.
Examining Continuous Variables. Displaying Categorical Data. Looking for
Structure: Dependency Relationships and Associations. Investigating
Multivariate Continuous Data. Studying Multivariate Categorical Data.
Getting an Overview. Graphics and Data Quality: How Good Are the Data?.
Comparisons, Comparisons, Comparisons. Graphics for Time Series. Ensemble
Graphics and Case Studies. Some Notes on Graphics with R. Summary.
References. Indices.