Introduction to R

Peeyush Taori () and Hemanth Kumar Dasararaju
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Peeyush Taori: London Business School
Hemanth Kumar Dasararaju: Indian School of Business

Chapter Chapter 28 in Essentials of Business Analytics, 2019, pp 889-915 from Springer

Abstract: Abstract As data science adoption increases more in the industry, the demand for data scientists has been increasing at an astonishing pace. Data scientists are a rare breed of “unicorns” who are required to be omniscient, and, according to popular culture, a data scientist is someone who knows more statistics than a programmer and more programming than a statistician. One of the most important tools in a data scientist’s toolkit is the knowledge of a general-purpose programming language that enables a data scientist to perform tasks of data cleaning, data manipulation, and statistical analysis with ease. Such requirements call for programming languages that are easy enough to learn and yet powerful enough to accomplish complex coding tasks. Two such de facto programming languages for data science used in the industry and academia are Python and R.

Date: 2019
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DOI: 10.1007/978-3-319-68837-4_28

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