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R Graphics Cookbook: Practical Recipes for Visualizing Data - Couverture souple

Chang, Winston

 
9781491978603: R Graphics Cookbook: Practical Recipes for Visualizing Data
Couverture souple
ISBN 10 : 1491978600 ISBN 13 : 9781491978603
Editeur : O'Reilly Media, 2018

Synopsis

This O'Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly--without having to comb through all the details of R's graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.

Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You'll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you're ready to get started with this easy-to-use reference.

  • Use R's default graphics for quick exploration of data
  • Create a variety of bar graphs, line graphs, and scatter plots
  • Summarize data distributions with histograms, density curves, box plots, and more
  • Provide annotations to help viewers interpret data
  • Control the overall appearance of graphics
  • Explore options for using colors in plots
  • Create network graphs, heat maps, and 3D scatter plots
  • Get your data into shape using packages from the tidyverse

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Winston Chang is a software engineer at RStudio, where he works on data visualization and software development tools for R. He has a Ph.D. in Psychology from Northwestern University, and created the Cookbook for R website, which contains recipes for common tasks in R.

À propos de la quatrième de couverture

This O'Reilly cookbook provides more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R's graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works.

Most of the recipes in this second edition use the updated version of the ggplot2 package, a powerful and flexible way to make graphs in R. You'll also find expanded content about the visual design of graphics. If you have at least a basic understanding of the R language, you're ready to get started with this easy-to-use reference.

  • Use R's default graphics for quick exploration of data
  • Create a variety of bar graphs, line graphs, and scatter plots
  • Summarize data distributions with histograms, density curves, box plots, and more
  • Provide annotations to help viewers interpret data
  • Control the overall appearance of graphics
  • Explore options for using colors in plots
  • Create network graphs, heat maps, and 3D scatter plots
  • Get your data into shape using packages from the tidyverse

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
O'Reilly Media
Date d'édition
2018
Langue
anglais
ISBN 10 
1491978600
ISBN 13 
9781491978603
Reliure
Broché
Numéro d'édition
2
Nombre de pages
441
Coordonnées du fabricant
O'Reilly
https://oreilly.com

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