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R 4 Data Science Quick Reference

- A Pocket Guide to APIs, Libraries, and Packages
Af: Thomas Mailund Engelsk Paperback

R 4 Data Science Quick Reference

- A Pocket Guide to APIs, Libraries, and Packages
Af: Thomas Mailund Engelsk Paperback
Tjek vores konkurrenters priser
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, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.

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..  

What You''ll Learn
  • 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
Who This Book Is For

Programmers new to R''s data science, data mining, and analytics packages.  Some prior coding experience with R in general is recommended.  
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Tjek vores konkurrenters priser
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kr 335
Fragt: 39 kr
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20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser
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, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more.

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..  

What You''ll Learn
  • 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
Who This Book Is For

Programmers new to R''s data science, data mining, and analytics packages.  Some prior coding experience with R in general is recommended.  
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 232
ISBN-13: 9781484287798
Indbinding: Paperback
Udgave:
ISBN-10: 1484287797
Kategori: Programmerings- & scriptsprog
Udg. Dato: 29 okt 2022
Længde: 0mm
Bredde: 178mm
Højde: 254mm
Forlag: APress
Oplagsdato: 29 okt 2022
Forfatter(e): Thomas Mailund
Forfatter(e) Thomas Mailund

Kategori Programmerings- & scriptsprog

ISBN-13 9781484287798

Sprog Engelsk

Indbinding Paperback

Sider 232

Udgave

Længde 0mm

Bredde 178mm

Højde 254mm

Udg. Dato 29 okt 2022

Oplagsdato 29 okt 2022

Forlag APress