Learn how to merge data in R 3 ways: base R, dplyr, and data.tableand never forget syntax to pivot wider and pivot longer. If you’re a tidyverse user, there’s plenty here on tidyr and dplyr .

RRE7 includes a library of R algorithms that can be run in parallel across multiple nodes, which is how Hadoop manages large data sets. RRE 7 can be added to the Cloudera CDH3 and CDH4 Hadoop ...

Sam Nelson, Head of School of Data Science, Udacity said, ”Udacity is excited to announce the release of a new R Programming track within the popular Programming for Data Science Nanodegree program.

Programming languages Python and R are often pitted against each other over which is best for data science and analysis. Both are popular, although Python appears to be much more widely used , at ...

Savvy marketers are making use of R programming. The value of R to business intelligence stems from evaluating advanced strategies based on data, discovering new insights and relationships that ...

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, ...

R Programming A-Z; Using R For Data Collection & Modeling Using R With The Google Analytics API For Reporting. Google Analytics (GA) is a free tool that webmasters use to gather useful information ...

But SAS is no match for the open-source language that pioneering data scientists use in academia, which is simply known as R.The R programming language leans more frequently to the cutting edge of ...

The choice of programming language is not a simple one, and in the end it may not even be the most important one either. As pointed out by Luiz Eduardo Le Masson, data science leader at Stone Co.: ...

Sensing a growing interest in big data-style analysis, software provider Revolution Analytics has updated its flagship package of R statistical functions so it can be run with the Hadoop data ...