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R: Data Analysis and Visualization by Ágnes Vidovics-Dancs, Kata Váradi, Tamás Vadász, Ágnes Tuza, Balázs Árpád Szucs, Julia Molnár, Péter Medvegyev, Balázs Márkus, István Margitai, Péter Juhász, Dániel Havran, Gergely Gabler, Barbara Dömötör, Gergely Daróczi, Ádám Banai, Milán Badics, Ferenc Illés, Edina Berlinger, Bater Makhabel, Hrishi V. Mittal, Jaynal Abedin, Brett Lantz, Tony Fischetti

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Chapter 10. Sources of Data

The previous two units (Confirmatory Data Analysis and Inferential Statistics and Predictive Analytics), have focused on teaching both theory and practice in ideal data scenarios, so that our more academic quests can be divorced from outside concerns about the veracity or format of the data. To this end, we deliberately stayed away from data sets not already built-into R or available from add-on packages. But very few people I know get by in their careers using R by not importing any data from sources outside R packages. Well, we very briefly touched upon how to load data into R (the read.* commands) in the very first chapter of this book, did we not? So we should be all set, right?

Here's the rub: I know almost as few ...

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