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dataverifyr  

A Lightweight, Flexible, and Fast Data Validation Package that Can Handle All Sizes of Data
View on CRAN: Click here


Download and install dataverifyr package within the R console
Install from CRAN:
install.packages("dataverifyr")

Install from Github:
library("remotes")
install_github("cran/dataverifyr")

Install by package version:
library("remotes")
install_version("dataverifyr", "0.1.8")



Attach the package and use:
library("dataverifyr")
Maintained by
David Zimmermann-Kollenda
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-25
Latest Update: 2024-01-10
Description:
Allows you to define rules which can be used to verify a given dataset. The package acts as a thin wrapper around more powerful data packages such as 'dplyr', 'data.table', 'arrow', and 'DBI' ('SQL'), which do the heavy lifting.
How to cite:
David Zimmermann-Kollenda (2023). dataverifyr: A Lightweight, Flexible, and Fast Data Validation Package that Can Handle All Sizes of Data. R package version 0.1.8, https://cran.r-project.org/web/packages/dataverifyr. Accessed 20 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:30), 0.1.4 (2023-04-25 19:40), 0.1.5 (2023-05-02 20:30), 0.1.8 (2024-01-10 13:43)
Other packages that cited dataverifyr R package
View dataverifyr citation profile
Other R packages that dataverifyr depends, imports, suggests or enhances
Complete documentation for dataverifyr
Functions, R codes and Examples using the dataverifyr R package
Some associated functions: bind_rules . check_data . dataverifyr_plus . detect_backend . filter_fails . plot_res . rule . ruleset . write_rules . 
Some associated R codes: check_data.R . filters.R . im-export.R . misc.R . rule.R . ruleset_construction.R . visualization.R . zzz.R .  Full dataverifyr package functions and examples
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