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Home > Blogs > R in the Industry: 4 Great Examples
Whether you have a tech background or not, you must have certainly heard of R. It is a project, a language, and a software environment. The most remarkable thing about R is that it is part of the GNU free software project. This project is about sharing software without any license restrictions or fees. Since R is a free software, over 2 million data scientists and statisticians use the software worldwide.
Why is it so popular? The adoption of R for business applications helps companies to understand the behaviour of the user, allowing them to improve their applications and software to meet these needs. So a lot of online and professional courses related to Big Data training are coming up as well.
To get an insight into how R is impacting the industry, let’s take a look at four great uses of R by companies.
Facebook and R
Facebook is a social media giant, but the company never stops looking for new ways to keep their audience engaged. They have over 2 billion monthly users and manage more than 500 terabytes of data per day! They use R to understand what their users do on Facebook and the kind of elements they interact with on the platform.
The statistical data that R provides helps the teams at Facebook understand what the 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, you may often wonder ‘Is the increase in traffic because of something unrelated, or is it only because of the campaign?’ Google wanted you as a marketer, to be aware of what would have happened if the campaign didn’t run. So they released a new package for R called the CausalImpact. It relies on R to tell you what would have happened, how many clicks or how much interaction you would have generated had you not run the campaign.
CausalImpact uses Bayesian structural time-series models, which 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 during times when there was no intervention at all.
Example of R and CausalImpact Picture Courtesy - revolutionanalytics
The 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, which they started doing 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, but also several weather stations and more. R is used to help predict calamities such as floods due to overflowing rivers, which helps save thousands of lives! Realclimate.org uses R to warn us how climate change is negatively affecting our world, from showing us rising tides to melting ice caps. Reading numbers and figures about these issues is not nearly as impactful as studying it in the form of visuals, and we only have R to thank for this.
It can easily be said that the popularity of R is increasing without bounds. It is sure to create a plethora of job opportunities as well. Enrol in any of the courses provided by Manipal ProLearn on Big Data analytics training, Big Data certification or Big Data tutorials to up your professional game and technical knowledge by a few notches!
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