Data validation R package for Intermountain Bird Observatory (2018-19 build)
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Updated
Feb 4, 2019 - R
Data validation R package for Intermountain Bird Observatory (2018-19 build)
My lightning talk about data validation at the Barcelona R User Group
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.
A principled approach to metadata in R for your dataset.
Example GitHub actions applicable to a variety of researchers for a workshop
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
Provides a set of functions to help validate data expectations
Dataset shift with outlier scores
Visually compare distributions in data sets
Intuitive Unit Testing Tools for Data Manipulation
R package to simplify the usage of the RDS REST API and provide convenience in accessing data and metadata.
Tutorials to learn reading, cleaning and validating case data, and converting line list data to incidence for visualizing epidemic curves.
A runtime type system for R; interfaces, enums, typed data.frames/data.tables and functions. CRAN
R package based on "Column Names as Contracts" blog post (https://emilyriederer.netlify.app/post/column-name-contracts/)
Functional input validation to make R functions more readable and robust
Data quality assessment and metadata reporting for data frames and database tables
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