R, Language for Data Analytics

6 Pages Posted: 12 Jun 2019

See all articles by Dipika Singh

Dipika Singh

Department of Computer Science, Institute of Science, B.H.U.,Varanasi, (U.P.) 221005,India

Rakhi Garg

Banaras Hindu University (BHU)

Date Written: March 19, 2019

Abstract

It has been 23 years since the initial version of R was launched. In this duration R has been modified several times, and now it has evolved as a giant in the field of data analysis. Nowadays R is one of the best known tool for data mining, statistics and machine learning. Today R is enjoying a vast community that provides quick response and support. With over 10000 packages available to download as per our requirement, R appears as complete solution for all data science related task .In this paper we have discussed brief history of R project. We have also described the present status of R and distinguish features of R. We have tried to explain why R is the first choice for data analysis by comparing it with other languages available for data science. We have also discussed its limitations and solutions to deal with these. This paper will be beneficial for researchers to gain an insight of R, who are going to work on data analysis related project.

Suggested Citation

Singh, Dipika and Garg, Rakhi, R, Language for Data Analytics (March 19, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019, Available at SSRN: https://ssrn.com/abstract=3355120 or http://dx.doi.org/10.2139/ssrn.3355120

Dipika Singh (Contact Author)

Department of Computer Science, Institute of Science, B.H.U.,Varanasi, (U.P.) 221005,India ( email )

India

Rakhi Garg

Banaras Hindu University (BHU) ( email )

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