Data quality assessment and metadata reporting for data frames and database tables

Functional input validation to make R functions more readable and robust

R package based on "Column Names as Contracts" blog post (https://emilyriederer.netlify.app/post/column-name-contracts/)

A runtime type system for R; interfaces, enums, typed data.frames/data.tables and functions. CRAN

R package to simplify the usage of the RDS REST API and provide convenience in accessing data and metadata.

Visually compare distributions in data sets

Tutorials to learn reading, cleaning and validating case data, and converting line list data to incidence for visualizing epidemic curves.

Intuitive Unit Testing Tools for Data Manipulation

Dataset shift with outlier scores

My lightning talk about data validation at the Barcelona R User Group

Data validation R package for Intermountain Bird Observatory (2018-19 build)

Example GitHub actions applicable to a variety of researchers for a workshop

Quantium Data Analytics Virtual Experience Program_Task-1

An automated data validation system for handgrip strength research, streamlining the processing and verification of measurement data across multiple Excel files.

Provides a set of functions to help validate data expectations

A principled approach to metadata in R for your dataset.

Design-by-contract: verify your function inputs and outputs. Includes a large number of generated verifcation functions for convenience.

Tidy validation and unit tesing package for data transformation