Home > Blogs > R in the Industry: The 4 Great Examples
Have you heard of R before? If you haven’t, you should know that it is a project, a language, and a software environment. The most remarkable thing about R is that it's part of the GNU free software project. This project is about sharing software without any license restrictions or fees. Since R does not cost anything to use, over 2 million data scientists and statisticians now use the software worldwide.
Why is it so popular? Well, the adoption of R for business applications helps companies to understand the behaviour of the user so that they can enhance their applications and software to meet these needs. Therefore, there are many online courses and professional courses which are coming up which are related to Big Data Training as well.
To get an insight into how R is impacting the industry, let’s take a look at 4 great uses of R by companies.
Facebook and R
Facebook is a social media giant, but they never stop looking for new ways to keep their audience engaged. They have over 2 billion monthly users and over 500 terabytes of data a day! To understand what the user does on Facebook and what they interact with on the platform, they use R. The statistical data that R provides helps the teams at Facebook understand what its users are doing throughout the day and how they can cater to them better. They are even able to track and explain how things like memes go viral on the platform, all thanks to the inputs from R.
Picture Courtesy - Quora
Google and R
If you have ever run a campaign on Google, then you know that one of the first questions you have is ‘Is the increase in traffic because of something unrelated, or is it only because of the campaign?’ Google wanted to let you, as a marketer, know what would have happened if the campaign didn’t run. They thus released a new package for R called the CausalImpact. This uses R to tell us what would have happened, how many clicks or how much interaction would have happened if the campaign didn’t run. It uses Bayesian structural time-series models give us the answers we seek. Keep in mind, for this to work, you’ll need a time series of results before and after the intervention, and a "control" time series where there was no intervention at all.
Example of Ra and CausalImpact Picture Courtesy - revolutionanalytics
New York Times and R
If you think of data journalism, you think The New York Times. They use R to create interactive data visualizations and it started back in 2009. The graphics editor - Amanda Cox has gone as far as calling R "The greatest software on Earth" because of the visualizations it helps her publish. R helps journalists to transform concepts to neat visualization in just hours. They have used R to cover topics like – Election forecasts, Best places to grow up, Wealth distribution and more.
Picture Courtesy - r-bloggers
The environment and R
You’d be happy to learn that it’s not just big businesses that use R, it’s also used by weather stations and more. The National Weather Service uses R to help them predict things such as floods due to overflowing rivers, this actually helps to save thousands of lives! Realclimate.org uses R to show us how climate change is negatively affecting our world, from showing us raising tides to melting ice caps. Reading numbers and figures about these issues are not nearly as impactful as seeing it as visualizations, we only have R to thank for this.
Therefore it can easily be said that the popularity levels of R are increasing without bounds. It is sure to create a plethora of job opportunities as well and so if you would like to stay ahead, there are world class options provided by MGAIT when it comes to Big Data Analytics Training, Big Data Certification and even Big Data Tutorials.