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R Data Science Quick Reference

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Cover of 'R Data Science Quick Reference'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Importing Data: readr
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    Chapter 3 Representing Tables: tibble
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    Chapter 4 Reformatting Tables: tidyr
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    Chapter 5 Pipelines: magrittr
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    Chapter 6 Functional Programming: purrr
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    Chapter 7 Manipulating Data Frames: dplyr
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    Chapter 8 Working with Strings: stringr
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    Chapter 9 Working with Factors: forcats
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    Chapter 10 Working with Dates: lubridate
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    Chapter 11 Working with Models: broom and modelr
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    Chapter 12 Plotting: ggplot2
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    Chapter 13 Conclusions
Attention for Chapter 1: Introduction
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