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validate (version 0.1.4)

Data Validation Infrastructure

Description

Declare data validation rules and data quality indicators; confront data with them and analyze or visualize the results. The package supports rules that are per-field, in-record, cross-record or cross-dataset. Rules can be automatically analyzed for rule type and connectivity.

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Install

install.packages('validate')

Monthly Downloads

3,815

Version

0.1.4

License

GPL-3

Issues

49

Pull Requests

2

Stars

431

Forks

42

Maintainer

Mark der Loo

Last Published

April 15th, 2016

Functions in validate (0.1.4)

length

Get object lenght
names<-,expressionset,character-method

Set names
created<-,expressionset,POSIXct-method

Set timestamps
description

description description
compare

Compare similar data sets
origin<-

Set origin
sort,validation-method

Aggregate and sort the results of a validation.
confront

Confront data with a (set of) expressionset(s)
syntax

Syntax to define validation or indicator rules
export_yaml

Export to yaml file
aggregate,validation-method

Aggregate validation results
label<-,rule,character-method

Set label
created<-,rule,POSIXct-method

Set creation timestamp
errors

Get messages from a confrontation object
cells

Cell counts and differences for a series of datasets
created<-

Set creation timestamp
description<-,rule,character-method

Set description
origin<-,expressionset,character-method

Set origins
variables

Extract variable names
indication-class

Store results of evaluating indicators
created

Creation timestamp
origin

Origin of rules
description<-,expressionset,character-method

Set descriptions
voptions

Set or get options globally or per object.
indicator-class

Store a set of rich indicator expressions
validate

Data Validation Infrastructure
check_that

Simple data validation interface
expr

Get expressions
description<-

Set description
values

Get values from object
confrontation-class

Superclass storing results of confronting data with rules
label

label description of rules
.PKGOPT

Services for extending 'validate'
retailers

data on Dutch retailers
origin<-,rule,character-method

Set origin
[,expressionset-method

Select a subset
match_cells

Create matching subsets of a sequence of data
validator-class

Store a set of rich validating rules.
validation-class

Store results of evaluating validating expressions
rule-class

A rich expression
names,expressionset-method

Extract names
names<-,rule,character-method

Set names
expressionset-class

Superclass for storing a set of rich expressions.
label<-

Set label
summary

Create a summary
validator

Define validation rules for data
label<-,expressionset,character-method

Set labels
indicator

Define indicators for data
barplot,validation-method

Plot number of violations