C remains the top programming language, according to the August index from software QA automation company TIOBE. But the spotlight for up-and-coming language remains focused on R, which continues to ...

Content: The R programming language is used for statistical data analysis and visualisation. R and the R Studio programming environment are a standard tool-set used worldwide for statistical analyses ...

Programming has become essential for looking at large datasets, and the R language is particularly useful for statistical analysis. With the R Programming Language Compiler app, you can now test and ...

Today’s marketers get bombarded with new martech tools almost weekly, if not daily — at least I do. And if other marketers are in the same boat that I am, they face a constant flood of calls from ...

R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

Hoping to entice more enterprises to use the R statistical programming language directly within their predictive modeling and data visualization jobs, Tibco has released a free version of its R ...

R vs Python: What are the main differences? Your email has been sent More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, ...

If you're a data scientist and need to analyze loads of CSV files for insights into, say, stock-price and market movements, the Julia programming language trumps machine-learning rivals Python and R, ...

Predictive analysis refers to the use of historical data and analyzing it using statistics to predict future events. It takes place in seven steps, and these are: defining the project, data collection ...

If you want to speed up your R programming workflow, RStudio addins and custom keyboard shortcuts are definitely worth a look. A number of R packages offer add-ins as well as functions, and some are ...