R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

✍ Scribed by Hadley Wickham, Garrett Grolemund

Publisher: O’Reilly Media
Year: 2017
Tongue: English
Leaves: 520
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Subjects

Data Processing;Databases & Big Data;Computers & Technology;Mathematical & Statistical;Software;Computers & Technology;Probability & Statistics;Applied;Mathematics;Science & Math;Computer Science;Algorithms;Artificial Intelligence;Database Storage & Design;Graphics & Visualization;Networking;Object-Oriented Software Design;Operating Systems;Programming Languages;Software Design & Engineering;New, Used & Rental Textbooks;Specialty Boutique;Statistics;Mathematics;Science & Mathematics;New, Used &

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Use R to turn data into insight, knowledge, and understanding. With this practical book, aspiring data scientists will learn how to do data science with R and RStudio, along with the tidyverseâ??a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if

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