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 ...

In part 1 of our hands-on series, we explain why R's a great choice for basic data analysis and visualization work, and how to get started.

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 ...

This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the basics of R, including imputing data, performing basic analysis, graphing, ...

GIS, data analysis: leaflet: The ultimate R data.table cheat sheet – with tidyverse code too (no video) programming: data.table, tidyverse: Count and visualize data by groups in R: programming ...

So they developed a programming language with which they could perform data analysis themselves. R got its name in part from its developers’ initials, although it was also a reference to the ...

The R programming language leans more frequently to the cutting edge of data science, giving businesses the latest data analysis tools. The problem: With loose standards and scores of diverse ...

Using both types of analysis helps you create strategies based on data and that connect with your audience. 3 Examples of Quantitative and Qualitative Research. The application of quantitative and ...