R All-in-one for Dummies by Joseph Schmuller

R All-in-one for Dummies

Joseph Schmuller

Wiley · Print & ebook · February 7, 2023

A discovery pick for readers interested in R All-in-one for Dummies.

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Who it’s for
A five-part guide to R, from first lines of code to statistical analysis and machine learning.
Themes
R programming, Statistical analysis, Machine learning
Genres
Math & Stats Software, Data Mining, Data Viz

About this book

A deep dive into the programming language of choice for statistics and data With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we're all swimming in. Maybe you're pursuing a career in data science, maybe you're looking to infuse a little statistics know-how into your existing career, or maybe you're just R-curious. This book has your back.

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Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. You'll find coverage of statistical analysis, machine learning, and data management with R. - Grasp the basics of the R programming language and write your first lines of code - Understand how R programmers use code to analyze data and perform statistical analysis - Use R to create data visualizations and machine learning programs - Work through sample projects to hone your R coding skill This is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R.

R for Data Work

A five-part guide to R, from first lines of code to statistical analysis and machine learning.

Come here for

  • R coding basics and statistical analysis
  • Data visualization, machine learning, and data management

Expect

  • Coverage of data visualization and data management with R
  • Sample projects for practicing R coding

Where it sits

Math & Stats Software75%
Data Viz52%
Data Mining43%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Data Mining
  • Open Source Development
  • Data Modeling
Authors
Joseph Schmuller
Publisher
Wiley
Published
February 7, 2023
Format
Print & ebook
Theme
R programming · Statistical analysis · Machine learning
Reading lane
Data Mining