Powerful and flexible R
R is the lingua franca of data science and has been popular among data scientists and financial analysts for a long time. It is highly extensible and provides a wide variety of statistical, machine learning methods and predictive modelling techniques
We’ve been providing R consulting and support services since 2002. As R has grown, its user-base has evolved. Today’s R user is as likely to have a background in biology as computer science or statistics and the demands of the community are now very different. Our team of Data Scientists, Data Engineers and Software Developers have a detailed understanding of the R language and deliver a range of services to support the deployment and use of R, including training, consulting, best practice advice, validation services, and support.
Our range of services and technologies can be tailored to suit any organisation’s specific needs.
Why use R?
No annual subscription
Available under Free Software Foundation’s GNU General Public License. This has helped embed the language at academic institutions around the world and ensures that R is really a ‘take-home’ language. The wide uptake in academia means that researchers use R to implement their latest ideas and algorithms.
Its reporting capabilities
The ease at which high-quality graphics can be created and written to a multitude of devices has seen R set the standard for graphical reporting. Tools such as ‘Sweave’ and ‘knitr’ add to the reporting, negating the copy and paste activities and providing one-click reporting.
Its integration capabilities
R thrives due to the relative ease in which it links with various data sources and other programming languages. Many business intelligence systems and statistical reporting platforms now offer R connectivity is part of their extended offering. This enables users of such systems to go beyond a pre-defined set of algorithms and power up their statistical capabilities.
Talk to us about how we can help you adopt R within your organisation: firstname.lastname@example.org
About the R language
Since the birth of R in 1997 as an alternative implementation of the S language, R has grown to become one of the most widely used statistical programming languages in the world today. This growth is been centred around an open and active community who continue to contribute add on packages of code, which put the latest algorithms straight into the hands of the user.
Why choose Mango?
Mango have been working with R for data science projects since 2002. We are experts with a team of R gurus who use the language across a range of projects. We also train teams around the world in R and Shiny.