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Eigenschaften R Graphics Cookbook: Practical Recipes for Visualizing Data
Die vollständigste R Graphics Cookbook: Practical Recipes for Visualizing Data-Buchbesprechung und sehr einfach zu lesen
Der Titel des Buches | R Graphics Cookbook: Practical Recipes for Visualizing Data |
Veröffentlichungsdatum | |
Sprache | Deutsch |
ISBN-10 | 4778341910-TGV |
Digital ISBN | 810-6340830021-NGY |
Schriftsteller | Karo Mensing |
Übersetzer | Udonna Faakhir |
Seitenzahl | 230 Pages |
Editor | Emanuel Schlim |
Dokumententyp | EPub PDF AMZ HWP WRD |
Dateigröße | 3.78 MB |
Dateinamen | R Graphics Cookbook: Practical Recipes for Visualizing Data.pdf |
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“Data Visualization is a brilliant book that not only teaches the reader how to visualize data but also carefully considers why data visualization is essential for good social science. The book is broadly relevant, beautifully rendered, and engagingly written. It is easily accessible for students at any level and will be an incredible teaching resource for courses on research methods ...
It has a lots of code chunks answering common questions that arise while making publication quality graphics with R. [Updated 28 April 2019]. The second edition of R Graphics Cookbook: Practical Recipes for Visualizing Data is available now for purchase.
Other Representations. Other representations of time series data are available in the R universe, including: fts package; irts from the tseries package; timeSeries package; ts (base distribution); tsibble package, a tidyverse style package for time series; In fact, there is a whole toolkit, called tsbox, just for converting between representations.. Two representations deserve special mention.
R Graphics Cookbook: Practical Recipes for Visualizing Data. Author: Winston Chang. What's Special about this eBook: This practical guide provides more than 150 recipes to help you 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 ...
Now, next, and beyond: Tracking need-to-know trends at the intersection of business and technology
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