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R Graphics Cookbook

Practical Recipes for Visualizing Data

Winston Chang
Englisch | Taschenbuch

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

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Produktinformationen "R Graphics Cookbook"

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

Untertitel
Practical Recipes for Visualizing Data
H | B | T | Gramm
177 mm | 233 mm | 25 mm | 0.964 kg
Erscheinungsjahr
2020
Ausgabe
2
FSK
0
Ausgabe
Taschenbuch
Verlag
O'Reilly Media
ISBN-10
1491978600
ISBN-13
9781491978603
Autor
Winston Chang
Sprache
Englisch
Seitenanzahl
425
Themen
Informationsarchitektur, Web-Grafik und -Design, Computermodellierung und -simulation, Datenerfassung und -analyse, Datenbankdesign und -theorie, Grafikprogrammierung, 3D-Grafik und Modellierung, Informationsvisualisierung, Programmier- und Skriptsprachen, allgemein
Keywords
Grafik (EDV) / Bildverarbeitung, Datenanalyse, Rechnerarchitektur, Internet / Publishing, Web-Site-Design, Informationsarchitektur, Grafik (EDV) / Programmierung, 3D-Druck, COMPUTERS / Programming Languages / General, Web-Grafik und -Design, Computermodellierung und -simulation, Datenerfassung und -analyse, Informatik, COMPUTERS / Data Visualization, Datenverarbeitung / Simulation, Datenbankdesign und -theorie, Bildbearbeitung, Analyse / Datenanalyse, Programmiersprachen, COMPUTERS / Data Modeling & Design, Architektur (EDV), Database, Grafikprogrammierung, Datenbank, HC/Informatik/EDV/Sonstiges, Bildverarbeitung, 3D-Grafik und Modellierung, Informationsvisualisierung, Informationsverarbeitung (EDV), Programmier- und Skriptsprachen, allgemein
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Winston Chang

Autor/in

Winston Chang

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.

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