Data Wrangling with R - Couverture souple

Boehmke, Ph.D. Bradley C.

Couverture souple

ISBN 10 : 3319456008 ISBN 13 : 9783319456003

Editeur : Springer, 2016

Synopsis

1. Preface

 

2. Introduction 

a. The Role of Data Wrangling 

i. Introduction to R 

1. Open Source 

2. Flexibility 

3. Community 

ii. R Basics 

1. Assignment & Evaluation 

2. Vectorization 

3. Getting help 

4. Workspace 

5. Working with packages 

6. Style guide 

3. Working with Different Types of Data in R 

a. Dealing with Numbers 

i. Integer vs. Double 

 ii. Generating sequence of non-random numbers 

iii. Generating sequence of random numbers 

iv. Setting the seed for reproducible random numbers 

v. Comparing numeric values 

vi. Rounding numbers 

b. Dealing with Character Strings 

i. Character string basics 

ii. String manipulation with base R 

iii. String manipulation with stringr 

iv. Set operatons for character strings 

c. Dealing with Regular Expressions 

i. Regex Syntax 

ii. Regex Functions 

iii. Additional resources 

d. Dealing with Factors 

i. Creating, converting & inspecting factors 

ii. Ordering levels 

iii. Revalue levels 

iv. Dropping levels 

e. Dealing with Dates 

i. Getting current date & time 

 ii. Converting strings to dates 

iii. Extract & manipulate parts of dates 

iv. Creating date sequences 

v. Calculations with dates 

vi. Dealing with time zones & daylight savings 

vii. Additional resources 

<4. Managing Data Structures in R 

a. Data Structure Basics 

i. Identifying the Structure 

ii. Attributes 

 b. Managing Vectors 

i. Creating 

ii. Adding on to 

iii. Adding attributes 

iv. Subsetting 

c. Managing Lists 

i. Creating 

iii. Adding attributes 

iv. Subsetting 

d. Managing Matrices 

i. Creating 

ii. Adding on to 

iii. Adding attributes 

iv. Subsetting 

e. Managing Data Frames 

i. Creating 

ii. Adding on to 

iii. Adding attributes 

iv. Subsetting 

f. Dealing with Missing Values 

i. Testing for missing values 

ii. Recoding missing values  iii. Excluding missing values 

5. Importing, Scraping, and Exporting Data with R 

a. Importing Data 

i. Reading data from text files 

ii. Reading data from Excel files 

iii. Load data from saved R object file 

iv. Additional resources 

b. Scraping Data 

i. Importing tabular and Excel files stored online 

ii. Scraping HTML text 

iii. Scraping HTML table data 

iv. Working with APIs 

v. Additional Resources 

c. Exporting Data 

i. Writing data to text files 

ii. Writing data to Excel files 

iii. Saving data as an R object file 

iv. Additional resources 

6. Creating Efficient & Readable Code in R 

a. Functions 

i. Function Components 

i

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2016
• Langue: anglais
• ISBN 10: 3319456008
• ISBN 13: 9783319456003
• Reliure: Taschenbuch
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne