{"id":7098,"date":"2022-02-07T07:43:14","date_gmt":"2022-02-07T06:43:14","guid":{"rendered":"https:\/\/immune.institute\/?p=7098"},"modified":"2022-02-07T07:43:14","modified_gmt":"2022-02-07T06:43:14","slug":"lenguaje-de-programacion-r","status":"publish","type":"post","link":"https:\/\/immune.institute\/en\/blog\/lenguaje-de-programacion-r\/","title":{"rendered":"R programming language, the present of Data Science"},"content":{"rendered":"

If at the time we told you that the name of <\/span>Python<\/span><\/a> comes from the famous British comedy group, tell you that the R programming language is not called that by chance.<\/span><\/p>\n

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R was established in 1993 at the University of Auckland by statisticians Robert Gentleman and Ross Ihaka. <\/span><\/p>\n<\/blockquote>\n

As you may have noticed, the initials of both researchers begin with \"r\". But that's not the only reason: <\/span>the R language derives from the S language and Scheme<\/b>. As\u00ed que sus creadores, simplemente, decidieron cambiar de letra… Curioso, \u00bfverdad?<\/span><\/p>\n

Well, in this article we are going to talk to you about <\/span>the R programming language, the present of Data Science<\/b> and one of the world's leading statisticians.<\/span><\/p>\n

What is R as a programming language?<\/span><\/h2>\n

The R programming language is essential for data analysis, both statistical and graphical. <\/span>It is functional, cross-platform, open source, free and object-oriented.<\/b><\/p>\n

Consequently, R as a programming language is ideal for all kinds of fields. Including Data Science.<\/span><\/p>\n

Features to take into account when programming in R<\/span><\/h3>\n

These are some of the most outstanding features of R as a programming language:<\/span><\/p>\n