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?:about
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  • "In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. After using this handy quick reference guide, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis..." (Verlagsinformation) (xsd:string)
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  • 2019 (xsd:gyear)
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  • 2019 (xsd:gyear)
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  • Englisch (EN) (xsd:string)
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  • 9781484248935 ()
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  • R data science quick reference : a pocket guide to APIs, Libraries, and packages (xsd:string)
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  • Buch (de)
  • Monographie (xsd:string)
  • book (en)
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  • Berkeley, CA: Apress, 2019.- IX, 246 S., graph. Darst. (xsd:string)
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