Table of Contents:
“...3.4 Notes on Locale Settings -- Chapter 4
Data Structure -- 4.1 Introduction -- 4.2 Tabular
Data -- 4.2.1
data.frame -- 4.2.2 Databases -- 4.2.3 dplyr -- 4.3 Matrix
Data -- 4.4 Time Series -- 4.5 Graph
Data -- 4.6 Web
Data -- 4.6.1 Web Scraping -- 4.6.2 Web API -- 4.7 Other
Data -- 4.8 Tidying Tabular
Data -- 4.8.1 Variable Per Column -- 4.8.2 Single Observation Stored in Multiple Tables -- Chapter 5 Cleaning Text
Data -- 5.1 Character Normalization -- 5.1.1 Encoding Conversion and Unicode Normalization -- 5.1.2 Character Conversion and Transliteration -- 5.2 Pattern Matching with Regular Expressions -- 5.2.1 Basic Regular Expressions -- 5.2.2 Practical Regular Expressions -- 5.2.3 Generating Regular Expressions in R -- 5.3 Common String
Processing Tasks in R -- 5.4 Approximate Text Matching -- 5.4.1 String Metrics -- 5.4.2 String Metrics and Approximate Text Matching in R -- Chapter 6
Data Validation -- 6.1 Introduction -- 6.2 A First Look at the validate Package -- 6.2.1 Quick Checks with check_that -- 6.2.2 The Basic Workflow: validator and confront -- 6.2.3 A Little Background on validate and DSLs -- 6.3 Defining
Data Validation -- 6.3.1 Formal Definition of
Data Validation -- 6.3.2 Operations on Validation Functions -- 6.3.3 Validation and Missing Values -- 6.3.4 Structure of Validation Functions -- 6.3.5 Demarcating Validation Rules in validate -- 6.4 A Formal Typology of
Data Validation Functions -- 6.4.1 A Closer Look at Measurement -- 6.4.2 Classification of Validation Rules -- 6.5 Validating
Data with the validate Package -- 6.5.1 Validation Rules in the Console and the validator Object -- 6.5.2 Validating in the Pipeline -- 6.5.3 Raising Errors or Warnings -- 6.5.4 Tolerance for
Testing Linear Equalities -- 6.5.5 Setting and Resetting Options -- 6.5.6 Importing and Exporting Validation Rules from and to File....
”
Call Number:
Loading...
Located:
Loading...
Connect to the full text of this electronic book
eBook