R 4 Data Science Quick Reference (PDF)

Name: R 4 Data Science Quick Reference
Brand: APress
SKU: 145674214
Price: 38.03 EUR
Availability: OnlineOnly

A Pocket Guide to APIs, Libraries, and Packages (Sprache: Englisch)

Autor: Thomas Mailund

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R 4 Data Science Quick Reference, Thomas Mailund

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In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble,...

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With R 4 Data Science Quick Reference, 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. All source code used in the book is freely available on GitHub..

You will:

Implement applicable R 4 programming language specification features
Import data with readr
Work with categories using forcats, time and dates with lubridate, and strings with stringr
Format data using tidyr and then transform that data using magrittr and dplyr
Write functions with R for data science, data mining, and analytics-based applications
Visualize data with ggplot2 and fit data to models using modelr

Autoren-Porträt von Thomas Mailund

Thomas Mailund is an associate professor at Aarhus University, Denmark. He has a background in math and computer science. For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species. He has published Beginning Data Science in R, Functional Programming in R, and Metaprogramming in R with Apress as well as other books on R and C programming.