Commonly called as the lingua franca of data science, R is a universally accepted language by data scientists around the world. A well-known programming language, R obtains prevalent usage in the community governed by machine learning, data mining, and data analysis. In this post, we will discuss all you need to know about R:
WHAT MAKES R A PREFERRED LANGUAGE OVER OTHERS?
R is the best programming language to deploy for statistical computing when putting on a stake with other languages. This feature alone suffices the requisites of Data Science. Analyzing data is made simple through this language. Efficient data handling and storage facility makes R language user friendly. That is, it shows advanced analytical features that can be incorporated in the field of Data Science and Analytics.
It also provides great technical support when compared with other programming languages. Like all other applications, R programs explicitly record the actions of analysis, make it very simple and easy to reproduce, and update reports so that they can quickly try many innovations and handle factual issues.
R EASILY RELATES TO OTHER PROGRAMMING LANGUAGES
After understanding what R can do in business analysis, a new trend has grown where existing software, as well as emerging software, is integrated with different R packages to make them more productive. Now R is getting connected to many file systems, applications, and databases. So, R relates to other programming languages easily. R is also very friendly while importing data not only from Microsoft Excel, but also, MySQL, Microsoft Access, Oracle, SQLite, and so on. The greatest part about R programming is that it is more of user-run software, which implies that anyone is entitled to provide code enhancements and new packages. This tool is also compatible across platforms and thereby it runs on multiple operating systems as well as hardware. It can function with similar clarity for both the Linux as well as Microsoft WindowsOperating Systems.
DIFFERENT INDUSTRIES THAT MAKE USE OF R LANGUAGE
After completing the R programming online training course, you can work in the following top companies:
- Google is making use of the R language for calculating the advertisement campaigns.
- FORD uses R in order to increase the designs of vehicles.
- The New York Times, which is one of the leading newspaper companies, makes use of the R language for generating data journalism and information graphic applications.
- Facebook uses this language for exploratory, experimental, human resource, and behavioral data analysis.
- Microsoft uses R for understanding user behavior and visualizing infrastructure.
- A few other companies such as Twitter, IBM, Airbnb, etc. also make use of the R language.
BENEFITS OF R LANGUAGE
- It is freely available and open-source, which makes it easy to install and work with.
- The language is highly evolved and flexible.
- It is cross-platform compatible and independent.
- It is a highly acceptable language, considering the 2017 survey on its acclamation. Hence, it’s having a large community of users.
- It is fast and powerful.
- It provides high-end graphics that enhance the display and visualization effects.
- R language is an interpreted language; this makes it easier to
- It also enables modeling and designing.
THE BOTTOM LINE: R IS AHEAD OF THE COMPETITION
Currently, R consists of the largest available packages collection crucial for statistical programming. Users share and implement helpful extensions and solutions. With around 8000 packages offered by users, it includes analytical segments such as Finance, Genetics, Medical Imaging, and Social Sciences amongst others. So, in case you’re in quest of a statistical method, R most probably will have a package to implement it. Where in other languages, visualizing data might need you to write lengthy codes, R simply applies a few lines of code. This advantage stands unparalleled in terms of its graphics and charting abilities.
