Coffee and Code: R & RStudio

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

What is R?
R is an [Open Source](https://opensource.org) programming language that is specifically designed for data analysis and visualization. It consists of the [core R system](https://cran.r-project.org) and a collection of (currently) over [13,000 packages](http://cran.cnr.berkeley.edu) that provide specialized data manipulation, analysis, and visualization capabilities. R is an implementation of the *S* statistical language developed in the mid-1970s at Bell Labs, with the start of development in the early 1990s and a stable beta version available by 2000. R has been under continuous development for over 25 years and has hit major development [milestones](https://en.wikipedia.org/wiki/R_\(programming_language\)#Milestones) over that time.
R syntax is relatively straighforward and is based on a core principle of providing reasonable default values for many functions, and allowing a lot of flexibility and power through the use of optional parameters.

Authoring Person(s) Name: 
Karl Benedict
Authoring Organization(s) Name: 
University of New Mexico Research Data Services
License - link to legal statement specifying the copyright status of the learning resource: 
Apache-2.0
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data analysis
Data visualization tools
R software environment
Published / Broadcast: 
Thursday, September 13, 2018
Publisher - organization credited with publishing or broadcasting the learning resource: 
University of New Mexico Research Data Services
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Contact Person(s): 
Karl Benedict
Contact Organization(s): 
University of New Mexico Research Data Services
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.
Target Audience - intended audience for which the learning resource was created: 
Data professional
Graduate student
Software engineer
Undergraduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)