This story contains interviews with David Smith, chief community officer at Revolution Analytics; Casey Herron, data scientist at Revolution Analytics; Tess Nesbitt, director of analytics at DataSong; ...

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 ...

You might not have ever heard of the programming language R but, if you’re doing data analysis, it might be just the language you need. And this particular book on R is one that is likely to teach you ...

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 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 ...

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 ...