Part Ⅰ．Explore

1．Data Visualization with ggplot2

Introduction

First Steps

Aesthetic Mappings

Common Problems

Facets

Geometric Objects

Statistical Transformations

Position Adjustments

Coordinate Systems

The Layered Grammar of Graphics

2．Workflow：Basics

Coding Basics

What's in a Name?

Calling Functions

3．Data Transformation with dplyr

Introduction

Filter Rows with filter（）

Arrange Rows with arrange（）

Select Columns with select（）

Add New Variables with mutate（）

Grouped Summaries with summarize（）

Grouped Mutates（and Filters）

4．Workflow：Scripts

Running Code

RStudio Diagnostics

5．Exploratory Data Analysis

Introduction

Questions

Variation

Missing Values

Covariation

Patterns and Models

ggplot2 Calls

Learning More

6．Workflow：Projects

What Is Real?

Where Does Your Analysis Live?

Paths and Directories

RStudio Projects

Summary

Part Ⅱ．Wrangle

7．Tibbles with tibble

Introduction

Creating Tibbles

Tibbles Versus data.frame

Interacting with Older Code

8．Data Import with readr

Introduction

Getting Started

Parsing a Vector

Parsing a File

Writing to a File

Other Types of Data

9．Tidy Data with tidyr

Introduction

Tidy Data

Spreading and Gathering

Separating and Pull

Missing Values

Case Study

Nontidy Data

10．Relational Data with dplyr

Introduction

nycflights13

Keys

Mutating Joins

Filtering Joins

Join Problems

Set Operations

11．Strings with stringr

Introduction

String Basics

Matching Patterns with Regular Expressions

Tools

Other Types of Pattern

Other Uses of Regular Expressions

stringi

12．Factors with forcats

Introduction

Creating Factors

General Social Survey

Modifying Factor Order

Modifying Factor Levels

13．Dates and Times with lubridate

Introduction

Creating Date/Times

Date-Time Components

Time Spans

Time Zones

Part Ⅲ．Program

14．Pipes with magrittr

Introduction

Piping Alternatives

When Not to Use the Pipe

Other Tools from magrittr

15．Functions

Introduction

When Should You Write a Function?

Functions Are for Humans and Computers

Conditional Execution

Function Arguments

Return Values

Environment

16．Vectors

Introduction

Vector Basics

Important Types of Atomic Vector

Using Atomic Vectors

Recursive Vectors（Lists）

Attributes

Augmented Vectors

17．Iteration with purrr

Introduction

For Loops

For Loop Variations

For Loops Versus Functionals

The Map Functions

Dealing with Failure

Mapping over Multiple Arguments

Walk

Other Patterns of For Loops

Part Ⅳ．Model

18．Model Basics with modelr

Introduction

A Simple Model

Visualizing Models

Formulas and Model Families

Missing Values

Other Model Families

19．Model Building

Introduction

Why Are Low-Quality Diamonds More Expensive?

What Affects the Number of Daily Flights?

Learning More About Models

20．Many Models with purrr and broom

Introduction

gapminder

List-Columns

Creating List-Columns

Simplifying List-Columns

Making Tidy Data with broom

Part Ⅴ．Communicate

21．R Markdown

Introduction

R Markdown Basics

Text Formatting with Markdown

Code Chunks

Troubleshooting

YAML Header

Learning More

22．Graphics for Communication with ggplot2

Introduction

Label

Annotations

Scales

Zooming

Themes

Saving Your Plots

Learning More

23．R Markdown Formats

Introduction

Output Options

Documents

Notebooks

Presentations

Dashboards

Interactivity

Websites

Other Formats

Learning More

24．R Markdown Workflow

Index