Learn how to use R for statistical programming, data analysis, and visualization in data science. Discover the benefits and challenges of using R, and how to improve your R skills.

The course aims to provide a broad knowledge of how to use the programming language R. The scope of the course ranges from importing data, processing and tidying data, transforming and manipulating ...

R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Often, data analysis people with great analytical skills lack solid ...

R provides powerful tools for manipulating data, including functions for importing, cleaning, and transforming datasets. You can read data from various file formats such as CSV, Excel, and SQL ...

Complete with numerous examples, this book is a leading guide for performing statistical analyses. The new user, with an introductory-level understanding of the SAS System, will find this an ...

Find and fix vulnerabilities Codespaces. Instant dev environments ...

For marketing and marketing operations professionals, R is important for several reasons: Data analysis: R allows marketers to analyze large volumes of data efficiently. This capability is crucial for ...

The R programming language is quickly gaining popular ground against the traditional statistics packages such as SPSS, SAS and MATLAB, at least according to one data statistician who teaches the ...

In part 1 of our hands-on series, we explain why R's a great choice for basic data analysis and visualization work, and how to get started.