R Data Science Quick Reference (PDF)

Name: R Data Science Quick Reference
Brand: Springer-Verlag GmbH
SKU: 127727808
Price: 46.99 EUR
Availability: OnlineOnly

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

Autor: Thomas Mailund

Schreiben Sie einen Kommentar zu "R Data Science Quick Reference".

R Data Science Quick Reference, Thomas Mailund

Merken

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...

Mehr zum Inhalt Autorenporträt Video

sofort als Download lieferbar

Bestellnummer: 127727808

eBook (pdf) 46.99 €

Download bestellen

Verschenken

23 DeutschlandCard Punkte sammeln

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails

Produktinformationen zu „R Data Science Quick Reference (PDF)“

In this book, you'll learn about the following APIs and packages that deal specifically with data science applications: readr, tibble, forcates, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, broom, knitr, shiny, 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.

You will:

Get started with RMarkdown and notebooks
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 ggplot 2 and data fit for models using modelr and broom
Report results with markdown, knitr, shiny, and more

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.