5 must have R programming tools
Follow us We have the truth R, along with Python, is one of the most popular tools for conducting data science. Propelled by a historically strong open-source developer community (R is about 25 years old — older than some data scientists), R is now strongly sought after by employers eyeing data scientists. Although R by itself is extremely powerful, there exist a few other (crucial) tools any R users should become familiar with. Now, in no particular order, we have: 1- RStudio Most R users have probably heard of RStudio. It’s by far one of the most popular R tools in existence and you probably already have it. However, that doesn’t preclude it from inclusion here, because RStudio truly is a must-have. Conveniently, the user interface gives you four quadrants that are a necessity to working efficiently with R: (upper left) your current file, (upper right) your current workspace, which contains variables and other objects, (lower left) an R console and (lower right) a window f