Validate, Share, and Download Data
Check for malicious files
Check and format image URLs
Check and format non-image hyperlinks
Check if a number passes the Luhn algorithm
Reformat the rules
Download structured data from remote sources
Download raw data from remote sources
Generate a data frame with certificate information
Check if a file exists in a zip file
Create a formatted Excel file based on validation rules
Download all data alternative
Check if an object is of class POSIXct
Name datasets
Query a MongoDB document by an ObjectID
Read and format data from csv or xlsx files
Read rules from a file
Share your validated data
Check which rows in the data violated the rules
Check which rules were broken
Run any of the apps
Test for profanity in a string
Validate data based on specified rules
Designed to enhance data validation and management processes by employing a set of functions that read a set of rules from a 'CSV' or 'Excel' file and apply them to a dataset. Funded by the National Renewable Energy Laboratory and Possibility Lab, maintained by the Moore Institute for Plastic Pollution Research.
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