This package is considered a duplicate. The official version of this package is found at:https://onsdigital.r-universe.dev/data.checker

Package: data.checker 2.0.0

Analysis Standards and Pipelines Team (ONS)

data.checker: Data Checker for Validating Data Frames Against Defined Schema

Validates data frames against a defined schema. Produces a report of the checks performed and any issues found, with index and entry value where appropriate. Backend checks are performed using pointblank Richard Iannone et al (2025) <doi:10.32614/CRAN.package.pointblank>.

Authors:Crown Copyright [cph], Analysis Standards and Pipelines Team [cre, aut]

data.checker_2.0.0.tar.gz
data.checker_2.0.0.tar.gz(r-4.7-any)data.checker_2.0.0.tar.gz(r-4.6-any)
data.checker_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
data.checker/json (API)
NEWS

# Install 'data.checker' in R:

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

Bug tracker:https://github.com/onsdigital/data.checker/issues

Pkgdown/docs site:https://onsdigital.github.io

On CRAN:

3.00 score 3 scripts 24 exports 91 dependencies

Last updated from:c8fa73eece. Checks:4 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	167
source / vignettes	OK	200
linux-release-x86_64	OK	144
wasm-release	OK	135

Exports:%>%add_check add_check_custom add_qa_entry check check_and_export check_backseries check_colnames check_column_contents check_completeness check_duplicates check_schema_contents_against_df check_types export hard_checks_status iqr_bounds is_valid_column_values is_valid_schema log_html log_to_table new_validator types_to_classes validate_and_convert_date_formats z_score

Dependencies:askpass base64enc bigD bitops blastula blob brio bslib cachem callr cli commonmark cpp11 crayon curl DBI dbplyr desc diffobj digest dplyr evaluate farver fastmap fontawesome fs generics getPass glue gt here highr hms htmltools htmlwidgets httr jquerylib jsonlite juicyjuice knitr labeling lifecycle litedown lubridate magrittr markdown memoise mime openssl otel pillar pkgbuild pkgconfig pkgload pointblank praise processx ps purrr R6 rappdirs RColorBrewer Rcpp reactable reactR rlang rmarkdown rprojroot rstudioapi sass scales stringi stringr sys testthat tibble tidyr tidyselect timechange tinytex tomledit utf8 uuid V8 vctrs viridisLite waldo withr xfun xml2 yaml

Data checker

Rendered fromgetting_started.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2026-06-08
Started: 2026-06-08

Export formats

Rendered fromexport_formats.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2026-06-08
Started: 2026-06-08

Citation

Readme and manuals

Help Manual

Help page	Topics
Add a custom check to the validator	add_check
Add a custom check to the validator	add_check_custom
Add a QA Entry to the validator's QA Log	add_qa_entry
Validate a Validator Object	check
Validate data against a schema and output results	check_and_export
Check backseries consistency	check_backseries
Check Column Names against schema	check_colnames
Check Column Contents against schema and checks	check_column_contents
Check dataset for missing columns	check_completeness
Check for duplicate rows. Can use subset of columns to check for duplicates if 'duplicates_cols' is specified in the schema. Otherwise, all columns are used for duplicate check.	check_duplicates
Check schema contents against the data frame provided	check_schema_contents_against_df
Check Column Types and Classes	check_types
Generic export function	export
Export Validator Log	export.Validator
Check the status of errors and warnings in the validator log	hard_checks_status
Flag outliers based on Interquartile Range (IQR). Outliers are flagged if they are below Q1 - (mulitplier * IQR) or above Q3 + (multiplier * IQR).	iqr_bounds
Check column contents valid	is_column_contents_valid
Check type of column in schema is valid	is_type_valid
Check that max values are not less than min values in column schema	is_valid_column_values
Check if the schema is valid	is_valid_schema
Generate HTML Representation of a Log	log_html
Log pointblank validation outcomes to a validator log	log_pointblank_outcomes
Convert Validator Log to Table	log_to_table
Validator Constructor	new_validator
Print Validator Log	print.Validator
Run column checks	run_checks
Convert complex types to the correct types and classes	types_to_classes
Validate date formats in the schema This function checks that any date formats specified in the schema are valid and can be parsed correctly.	validate_and_convert_date_formats
Check Z Score of Numeric Columns	z_score