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portada R 4 Data Science Quick Reference: A Pocket Guide to Apis, Libraries, and Packages
Type
Physical Book
Author
Publisher
Language
English
Pages
232
Format
Paperback
Dimensions
25.4x17.8x1.3 cm
Weight
0.43 kg.
ISBN13
9781484287798
Edition No.
0002
Categories

R 4 Data Science Quick Reference: A Pocket Guide to Apis, Libraries, and Packages

Thomas Mailund (Author) · Apress · Paperback

R 4 Data Science Quick Reference: A Pocket Guide to Apis, Libraries, and Packages - Mailund, Thomas

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Synopsis "R 4 Data Science Quick Reference: A Pocket Guide to Apis, Libraries, and Packages"

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 LearnImplement applicable R 4 programming language specification featuresImport data with readrWork with categories using forcats, time and dates with lubridate, and strings with stringrFormat data using tidyr and then transform that data using magrittr and dplyrWrite functions with R for data science, data mining, and analytics-based applicationsVisualize data with ggplot2 and fit data to models using modelrWho This Book Is ForProgrammers 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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