R Software Development
WHY THE R PROGRAMMING LANGUAGE IS GOOD FOR BUSINESS
With terabytes of data at hand, every business is trying to figure out the best way to understand information about their customers and themselves. But simply using Excel pivot tables to analyze such quantities of information is absurd, so many companies use the commercially available tool SAS to cull business intelligence.
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 data science, giving businesses the latest data analysis tools.
- R is data analysis software: data scientists, statisticians, analysts, quants, and others who need to make sense of data use R for statistical analysis, data visualization, and predictive modeling.
- R is an environment for statistical analysis: Available in the R language are functions for virtually every data manipulation, statistical model, or chart that the data analyst could ever need. Not only are all the “standard” methods available, but because most cutting-edge research in statistics and predictive modeling is done in R, the latest techniques are usually available first in the R system.
- R is an open-source software project. Not only does this mean that you can download and use R for free, but the source code is also open for inspection and modification to anyone who wants to see how the methods and algorithms work under the covers. Like other successful open-source projects such as Linux and MySQL, R has benefited for over 15 years from the “many-eyes” approach to code improvement, and as a result has an extremely high standard of quality and numerical accuracy. Also, as with all open-source systems R has open interfaces, meaning that it readily integrates with other applications and systems.