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6 Reasons: Why Choose R Programming for Data Science Projects?

R is a language used for statistical computations, data analysis and graphical representation of data. Created in the 1990s by Ross Ihaka and Robert Gentleman, R was designed as a statistical platform for data cleaning, analysis, and representation. Back then R was not a very Popular tool but now it has gained tremendous applications and traction. According to 2107 Burtch Works Survey, out of all surveyed data scientist, 40% prefer R, 34% prefer SAS and 26% Python. According to KDNuggets’ 18th annual poll of data science software usage, R is the second most popular language in data science. This shows how popular R programming is in data science. Even Google trends showcase the rapidly rising popularity of R Programming.



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6 Reasons: Why Choose R Programming for Data Science Projects?

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