We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub ...

The R programming language leans more frequently to the cutting edge of data science ... And whenever a good visualization is used, there’s a good chance that it was created in R, so I can ...

R was designed from day one to handle statistics and data visualization, it’s highly extensible with many new packages aimed at solving real-world problems and it’s open source (read “free”).

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable ...

R programming is an open source language used for statistical modeling and data visualization. The programming language typically operates via a terminal on a laptop, but there is also development ...

The Shift Toward R, Python, AI And ML In Statistical Programming The traditional ... exploratory data analysis, data manipulation, data visualization and ML applications, especially in clinical ...

How best to manage data using R programming. While the analytics world is being transformed by the EU’s General Data Protection Regulation, marketers are discovering a potential new solution to ...

The R programming language is an important tool for development in the numeric analysis and machine learning spaces. With machines becoming more important as data generators, the popularity of the ...