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Books > Computing & IT > Computer programming > Programming languages
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R 4 Data Science Quick Reference - A Pocket Guide to APIs, Libraries, and Packages (Paperback, 2nd ed.)
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R 4 Data Science Quick Reference - A Pocket Guide to APIs, Libraries, and Packages (Paperback, 2nd ed.)
Expected to ship within 10 - 15 working days
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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, 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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