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R is basically an open-source programming language created by statisticians for statisticians. While other languages are general-purpose, <a href=u201dhttps://gigrich.net/all-about-r-programming-language/u201d>R Programming Language</a> is known specifically to help with statistical computing and data visualization and is used by data analysts, scientists, and data scientists. However, you should know one thing R is not just a programming language. Itu2019s also an environment for the users who wish to perform statistical analysis & modeling but donu2019t have programming skills.
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What is R? R is basically an open-source programming language created by statisticians for statisticians. While other languages are general-purpose, R Programming Language is known specifically to help with statistical computing and data visualization and is used by data analysts, scientists, and data scientists. However, you should know one thing R is not just a programming language. It’s also an environment for the users who wish to perform statistical analysis & modeling but don’t have programming skills.
WHO USES R? FINANCE COMPANIES RESEARCH INSTITUTES BANKS HEALTHCARE COMPANIES SOCIAL MEDIA COMPANIES
FINANCE COMPANIES The finance industry actively makes use of data science. And guess what the best tool/language for data science is? It’s R-programming language. R offers finance companies a suite of statistical functionalities that they can use to carry out different tasks such as adjusting risk performance and performing visualizations such as: Drawdown Plots Density Plots Candlestick Charts & More
BANKS Banks, similar to financial companies, actively use R for risk analytics such as credit risk modeling. Also, R is used along with Hadoop to analyze customer retention and quality. What banks use R, you may think? Well, Bank of America uses R to analyze financial losses and for financial reporting.
HEALTHCARE COMPANIES Several companies that operate in the epidemiology, drug discovery, bioinformatics, and genetics domain make use of R. Such companies, with the help of R, crunch tones of data which makes data analysis a piece of cake. Also, R is used by companies who work to develop drugs for analyzing drug safety data and performing pre-clinical trials. What’s more, the Bioconductor Package of R offers numerous functionalities using which scientists can carefully analyze the genomic data. Last but not least, data scientists in the epidemiology domain use R to extensively analyze and predict the spread of diseases.
SOCIAL MEDIA COMPANIES Social media has always been data intensive. Millions, probably billions of users, scroll Facebook, Instagram, and Twitter feeds each day. And based on their data or preferences, they’re shown ads, or their user experience is modified. And all this is made easy with R-programming language. Using R, several social media companies, including Facebook, analyze user sentiments to enhance the overall UX. You can even find several tutorials for analyzing Facebook comments and other data on the internet. SocialMediaMineR is an R-based tool that consumes one or more URLs and returns the info on the popularity of every URL on the internet.