Package: vvauditor 0.8.0

vvauditor: Creates Assertion Tests

Offers a comprehensive set of assertion tests to help users validate the integrity of their data. These tests can be used to check for specific conditions or properties within a dataset and help ensure that data is accurate and reliable. The package is designed to make it easy to add quality control checks to data analysis workflows and to aid in identifying and correcting any errors or inconsistencies in data.

Authors:Tomer Iwan [cph], Hajo Bons [aut, cph, cre]

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
vvauditor/json (API)

# Install 'vvauditor' in R:

install.packages('vvauditor', repos = c('https://esr316.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 3 scripts 283 downloads 55 exports 44 dependencies

Last updated from:bd93871d02. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	145
source / vignettes	OK	229
linux-release	OK	121
macos-release	OK	168
macos-oldrel	OK	182
windows-devel	OK	69
windows-release	OK	86
windows-oldrel	OK	93
wasm-release	OK	109

Exports:assert_date_named assert_field_consistency assert_field_distinctness assert_field_existence assert_logical_named assert_missing_values assert_no_duplicates_in_group assert_range_validation assert_type_consistency assertion_message calculate_category_percentages check_double_columns check_duplicates check_na_columns check_no_duplicate_rows check_no_duplicates_in_group check_non_zero_rows check_numeric_or_integer_type check_posixct_type check_rows check_zero_columns count_more_than_1 create_categorical_details create_data_types create_dataset_summary_table create_field_info create_numeric_details create_subset_fields drop_na_column_names duplicates_in_column find_common_columns find_maximum_value find_minimum_value find_pattern_r get_distribution_statistics get_first_element_class get_values identify_join_pairs identify_outliers is_unique_column md_complete_cases regex_content_parameter regex_time regex_year_date remove_duplicates_and_na retrieve_function_calls retrieve_functions_and_packages retrieve_package_usage retrieve_sourced_scripts retrieve_string_assignments return_assertions_message run_all_assertions str_detect_in_file test_all_equal unique_id

Dependencies:askpass backports bit bit64 checkmate cli clipr cpp11 crayon curl dplyr findR generics glue hms janitor kit lifecycle lubridate magrittr pdftools pillar pkgconfig prettyunits progress purrr qpdf R6 Rcpp readr rlang snakecase stringi stringr sys tibble tidyr tidyselect timechange tzdb utf8 vctrs vroom withr

Creating Dataset Summary Tables

Rendered fromdataset-summary.Rmdusingknitr::rmarkdown

Last update: 2025-02-10
Started: 2024-02-27

Help page	Topics
Assert Date Value in Column	assert_date_named
Check if the fieldnames of the dataset are the same	assert_field_consistency
Assert Field Uniqueness Consistency Between Data and Metadata	assert_field_distinctness
Assert Field Existence in New Data	assert_field_existence
Assert Logical Value in Column	assert_logical_named
Assert Consistency of Missing Values in Data	assert_missing_values
Assert No Duplicates in Group	assert_no_duplicates_in_group
Assert Range Validation for Data Fields	assert_range_validation
Assert Type Consistency Between Data and Metadata	assert_type_consistency
Assert Message Based on Type	assertion_message
Calculate the percentage of categories in a data vector	calculate_category_percentages
check double columns	check_double_columns
Check for Duplicate Rows in Selected Columns	check_duplicates
Check for columns with only NA values	check_na_columns
Check for No Duplicate Rows	check_no_duplicate_rows
Check for No Duplicates in Group	check_no_duplicates_in_group
Check for Non-Zero Rows	check_non_zero_rows
Check for Numeric or Integer Type	check_numeric_or_integer_type
Check for POSIXct Type	check_posixct_type
Check rows	check_rows
Check for Columns with Only 0s	check_zero_columns
Count more than 1	count_more_than_1
Create categorical details csv	create_categorical_details
Create data types tibble	create_data_types
Create dataset summary statistics table	create_dataset_summary_table
Create field info	create_field_info
Create numeric details csv	create_numeric_details
Create subset fields	create_subset_fields
Drop NA column names	drop_na_column_names
Duplicates in column	duplicates_in_column
Find Common Columns Between Data Frames	find_common_columns
Find the maximum numeric value in a vector, ignoring non-numeric values	find_maximum_value
Find the minimum numeric value in a vector, ignoring non-numeric values	find_minimum_value
Find pattern in R scripts	find_pattern_r
Compute distribution statistics for a numeric vector	get_distribution_statistics
Retrieve the class of the first element of a vector	get_first_element_class
Get values of column	get_values
Identify Possible Join Pairs Between Data Frames	identify_join_pairs
Identify Outliers in a Data Frame Column	identify_outliers
Check if a column in a dataframe has unique values	is_unique_column
MD complete cases	md_complete_cases
Construct Regex for Matching Function Parameter Content	regex_content_parameter
Generate regular expression of a time.	regex_time
Generate regular expression of a year date.	regex_year_date
Remove Duplicates and NA Values from Input	remove_duplicates_and_na
retrieve_function_calls	retrieve_function_calls
Retrieve functions and packages	retrieve_functions_and_packages
Retrieve packages that are loaded in a script	retrieve_package_usage
retrieve_sourced_scripts	retrieve_sourced_scripts
retrieve_string_assignments	retrieve_string_assignments
Return Assertion Messages	return_assertions_message
Read and return the mtcars testfile	return_mtcars_testfile
Run All Data Validation Assertions	run_all_assertions
Detect string in file	str_detect_in_file
Test all equal	test_all_equal
unique id	unique_id

Package: vvauditor 0.8.0

vvauditor: Creates Assertion Tests

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