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dataverifyr
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.dataverifyr . https://github.com/DavZim/dataverifyr/issues . https://github.com/DavZim/dataverifyr . https://davzim.github.io/dataverifyr/ . dataverifyr results . dataverifyr.pdf . dataverifyr_0.1.8.tar.gz . dataverifyr_0.1.8.zip . dataverifyr_0.1.8.zip . dataverifyr_0.1.8.zip . dataverifyr_0.1.8.tgz . dataverifyr_0.1.8.tgz . dataverifyr_0.1.8.tgz . dataverifyr_0.1.8.tgz . dataverifyr archive . https://CRAN.R-project.org/package=dataverifyr .
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 07 May. 2025.
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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