About R ProgrammingLearn More

R is a free software and programming language created by Ross Ihaka and Robert Gentleman in 1993. R has an extensive catalog of statistical and graphical methods. This software includes machine learning algorithms, linear regression, time series and statistical inference. Most R libraries are written in R, but for computationally heavy tasks, C, C++, and Fortran code are preferred. R is not only taught academically, but many large companies use the R programming language, including Uber, Google, Airbnb, Facebook, and more. Data analysis using R is done through the following steps: programming, transformation, discovery, modeling, and communication. Programming: R is a simple and accessible programming tool. Transform: R is built from a set of libraries designed specifically for data science. Discovery: Examine the data, refine your hypothesis, and analyze it. Modeling: R provides a wide range of tools to build a suitable model of your data. Communicate: Combine code, graphs, and output with R Markdown reports or build R Shiny apps to share with the world