Tuesday, May 23, 2017

Word of the Day: R programming language

Word of the Day WhatIs.com
Daily updates on the latest technology terms |May 23, 2017
R programming language

The R programming language is an open source scripting language for predictive analytics and data visualization.

The initial version of R was released in 1995 to allow academic statisticians and others with sophisticated programming skills to perform complex data statistical analysis and display the results in any of a multitude of visual graphics. The "R" name is derived from the first letter of the names of its two developers, Ross Ihaka and Robert Gentleman, who were associated with the University of Auckland at the time.

The R programming language includes functions that support linear modeling, non-linear modeling, classical statistics, classifications, clustering and more. It has remained popular in academic settings due to its robust features and the fact that it is free to download in source code form under the terms of the Free Software Foundation's GNU general public license. It compiles and runs on UNIX platforms and other systems including Linux, Windows and macOS.

The appeal of the R language has gradually spread out of academia into business settings, as many data analysts who trained on R in college prefer to continue using it rather than pick up a new tool with which they are inexperienced. Continued...

Quote of the Day

"In addition to being well-suited to advanced statistics, R's open source nature and free availability under the GNU General Public License have also contributed to its rising star power." - Robert Sheldon

 

Trending Terms

open source
predictive analytics

data visualization
loop
data scientist

 
Learning Center

The ins and outs of using R in SQL Server 2016 and 2017
Using R in SQL Server 2016 and 2017 could benefit enterprise users, but it's important to know the difference between Microsoft's various R-based technologies.

R programming language demands the right use case
R's growing popularity among programmers and organizations has attracted the attention of technology vendors, many of which now offer R-based products or support the language in their own software.


IBM Watson gets CognizeR extension

In the past, R has been criticised for delivering slow analyses when applied to large data sets, but more recent versions of the language are attempting to address this problem.

Revolution brings R programming language to AWS, plus SAS on Hadoop
Revolution Analytics brings the R programming language to the cloud, while SAS readies a new in-memory analytics platform to run on Hadoop.

Data preparation steps increase to meet predictive analytics needs
Data scientists building predictive models and machine learning algorithms often have to do more data preparation work upfront than is necessary in conventional analytics applications.

 

Writing for Business

Linus Torvalds _______ choosing to be an open source software engineer is a calling, rather than a career choice.
a. said that
b. said
Answer

 

 

 

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For feedback about any of our definitions or to suggest a new definition, please contact me at: mrouse@techtarget.com

 

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