https://github.com/data-cleaning/validatesuggest

Generate validation rules from data
https://github.com/data-cleaning/validatesuggest

data-cleaning r validation

Last synced: about 1 month ago
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Generate validation rules from data

• Host: GitHub
• URL: https://github.com/data-cleaning/validatesuggest
• Owner: data-cleaning
• License: other
• Created: 2021-07-08T09:55:16.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2023-10-06T10:29:45.000Z (9 months ago)
• Last Synced: 2024-03-25T21:20:00.897Z (3 months ago)
• Topics: data-cleaning, r, validation
• Language: R
• Homepage: https://data-cleaning.github.io/validatesuggest
• Size: 369 KB
• Stars: 5
• Watchers: 3
• Forks: 0
• Open Issues: 6
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Lists

• jimsghstars - data-cleaning/validatesuggest - Generate validation rules from data (R)

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# validatesuggest

[![CRAN status](https://www.r-pkg.org/badges/version/validatesuggest)](https://CRAN.R-project.org/package=validatesuggest)

[![R-CMD-check](https://github.com/data-cleaning/validatesuggest/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/data-cleaning/validatesuggest/actions/workflows/R-CMD-check.yaml)

The goal of validatesuggest is to generate suggestions for [validation](https://CRAN.R-project.org/package=validate) rules from a supplied 

dataset. These can be used as a starting point for a rule set and are to be

adjusted by domain experts.

## Installation

And the development version from [GitHub](https://github.com/) with:

``` r

# install.packages("devtools")

devtools::install_github("data-cleaning/validatesuggest")

```

## Example

```{r example}

library(validate)

library(validatesuggest)

data(retailers, package="validate")

data(SBS2000, package="validate")

# does all

#suggest_rules(retailers)

suggest_pos_check(retailers)

suggest_range_check(retailers, min=TRUE, max=TRUE)

suggest_na_check(retailers)

suggest_unique_check(SBS2000)

suggest_type_check(retailers)

suggest_ratio_check(retailers)

write_cond_rule(car_owner)

```