Overview

This book will introduce you to the R programming language and the tidyverse way of manipulating data. It assumes no prior knowledge of programming or statistics. It has seven chapters, which cover basic data structures, functions, plots and data pivots, multi-column operations and joins, lists and linear models, generalized linear models, and spacial data. It reinforces concepts with detailed lab assignments, in which you will do real data science with real data. The labs cover: mishaps at nuclear power plants, case scheduling at the labor appellate court of Rome, Alibaba's package-delivery scores, auto part defects reported to the NHTSA, grocery-store inventory runs (the supply chain analog of bank runs), and illegal fishing on the high seas. And in addition to these formal labs, you will also casually analyze data from Ultimate Fighting Championship (UFC), City of Evanston Police Department, Netflix, lichess.org, Wine Spectator Citi Bike bicycle sharing program, and Jane Austen.

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