数据科学 R语言实现 影印版 英文版2025|PDF|Epub|mobi|kindle电子书版本百度云盘下载

数据科学 R语言实现 影印版 英文版PDF格式电子书版下载

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Part Ⅰ．Explore3

1．Data Visualization with ggplot23

Introduction3

First Steps4

Aesthetic Mappings7

Common Problems13

Facets14

Geometric Objects16

Statistical Transformations22

Position Adjustments27

Coordinate Systems31

The Layered Grammar of Graphics34

2．Workflow：Basics37

Coding Basics37

What's in a Name?38

Calling Functions39

3．Data Transformation with dplyr43

Introduction43

Filter Rows with filter（）45

Arrange Rows with arrange（）50

Select Columns with select（）51

Add New Variables with mutate（）54

Grouped Summaries with summarize（）59

Grouped Mutates（and Filters）73

4．Workflow：Scripts77

Running Code78

RStudio Diagnostics79

5．Exploratory Data Analysis81

Introduction81

Questions82

Variation83

Missing Values91

Covariation93

Patterns and Models105

ggplot2 Calls108

Learning More108

6．Workflow：Projects111

What Is Real?111

Where Does Your Analysis Live?113

Paths and Directories113

RStudio Projects114

Summary116

Part Ⅱ．Wrangle119

7．Tibbles with tibble119

Introduction119

Creating Tibbles119

Tibbles Versus data.frame121

Interacting with Older Code123

8．Data Import with readr125

Introduction125

Getting Started125

Parsing a Vector129

Parsing a File137

Writing to a File143

Other Types of Data145

9．Tidy Data with tidyr147

Introduction147

Tidy Data148

Spreading and Gathering151

Separating and Pull157

Missing Values161

Case Study163

Nontidy Data168

10．Relational Data with dplyr171

Introduction171

nycflights13172

Keys175

Mutating Joins178

Filtering Joins188

Join Problems191

Set Operations192

11．Strings with stringr195

Introduction195

String Basics195

Matching Patterns with Regular Expressions200

Tools207

Other Types of Pattern218

Other Uses of Regular Expressions221

stringi222

12．Factors with forcats223

Introduction223

Creating Factors224

General Social Survey225

Modifying Factor Order227

Modifying Factor Levels232

13．Dates and Times with lubridate237

Introduction237

Creating Date/Times238

Date-Time Components243

Time Spans249

Time Zones254

Part Ⅲ．Program261

14．Pipes with magrittr261

Introduction261

Piping Alternatives261

When Not to Use the Pipe266

Other Tools from magrittr267

15．Functions269

Introduction269

When Should You Write a Function?270

Functions Are for Humans and Computers273

Conditional Execution276

Function Arguments280

Return Values285

Environment288

16．Vectors291

Introduction291

Vector Basics292

Important Types of Atomic Vector293

Using Atomic Vectors296

Recursive Vectors（Lists）302

Attributes307

Augmented Vectors309

17．Iteration with purrr313

Introduction313

For Loops314

For Loop Variations317

For Loops Versus Functionals322

The Map Functions325

Dealing with Failure329

Mapping over Multiple Arguments332

Walk335

Other Patterns of For Loops336

Part Ⅳ．Model345

18．Model Basics with modelr345

Introduction345

A Simple Model346

Visualizing Models354

Formulas and Model Families358

Missing Values371

Other Model Families372

19．Model Building375

Introduction375

Why Are Low-Quality Diamonds More Expensive?376

What Affects the Number of Daily Flights?384

Learning More About Models396

20．Many Models with purrr and broom397

Introduction397

gapminder398

List-Columns409

Creating List-Columns411

Simplifying List-Columns416

Making Tidy Data with broom419

Part Ⅴ．Communicate423

21．R Markdown423

Introduction423

R Markdown Basics424

Text Formatting with Markdown427

Code Chunks428

Troubleshooting435

YAML Header435

Learning More438

22．Graphics for Communication with ggplot2441

Introduction441

Label442

Annotations445

Scales451

Zooming461

Themes462

Saving Your Plots464

Learning More467

23．R Markdown Formats469

Introduction469

Output Options470

Documents470

Notebooks471

Presentations472

Dashboards473

Interactivity474

Websites477

Other Formats477

Learning More478

24．R Markdown Workflow479

Index483