Online Public Access Catalogue (OPAC)
Library,Documentation and Information Science Division

“A research journal serves that narrow

borderland which separates the known from the unknown”

-P.C.Mahalanobis


A data scientist's guide to acquiring, cleaning, and managing data in R/



xxi, 288 pages; 23 cm. Content notes : R -- R data, part 1: vectors -- r data, part 2: more complicated structures -- R data, part 3: text and factors -- Writing functions and scripts -- Getting data into and out of R -- Data handling in practice -- Extended exercise

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