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validata
View on CRAN: Click
here
Download and install validata package within the R console
Install from CRAN:
install.packages("validata")
Install from Github:
library("remotes")
install_github("cran/validata") Install by package version:
library("remotes")
install_version("validata", "0.1.0") Attach the package and use:
library("validata")
Maintained by
Harrison Tietze
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-05
Latest Update: 2021-10-05
Description:
Functions for validating the structure and properties of data frames. Answers essential questions about a data set after initial import or modification. What are the unique or missing values? What columns form a primary key? What are the properties of the numeric or categorical columns? What kind of overlap or mapping exists between 2 columns?
How to cite:
Harrison Tietze (2021). validata: Validate Data Frames. R package version 0.1.0, https://cran.r-project.org/web/packages/validata. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1.0 (2021-10-05 10:20)
Other packages that cited validata R package
View validata citation profile
Other R packages that validata depends,
imports, suggests or enhances
Complete documentation for validata
Functions, R codes and Examples using
the validata R package
Some associated functions: confirm_distinct . confirm_mapping . confirm_overlap . confirm_overlap_internal . confirm_strlen . data_mode . determine_distinct . determine_mapping . determine_overlap . diagnose . diagnose_category . diagnose_missing . diagnose_numeric . make_distincts . n_dupes . names_list . pipe . sample_data1 . validata-package . view_missing .
Some associated R codes: confirm_distinct.R . confirm_mapping.R . confirm_overlap.R . confirm_overlap_helpers.R . confirm_strlength.R . data.R . dataValidation-package.R . determine_distinct.R . determine_mapping.R . determine_overlap.R . diagnose.R . globals.R . guess_id_col.R . utils-pipe.R . Full validata package functions and examples
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