73,95 €*
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
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
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
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.
Erscheinungsjahr: | 2020 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781491978603 |
ISBN-10: | 1491978600 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Chang, Winston |
Auflage: | 2nd edition |
Hersteller: | O'Reilly Media |
Maße: | 177 x 233 x 25 mm |
Von/Mit: | Winston Chang |
Erscheinungsdatum: | 30.11.2018 |
Gewicht: | 0,964 kg |
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.
Erscheinungsjahr: | 2020 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Kartoniert / Broschiert |
ISBN-13: | 9781491978603 |
ISBN-10: | 1491978600 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Chang, Winston |
Auflage: | 2nd edition |
Hersteller: | O'Reilly Media |
Maße: | 177 x 233 x 25 mm |
Von/Mit: | Winston Chang |
Erscheinungsdatum: | 30.11.2018 |
Gewicht: | 0,964 kg |