Data cleaning for statistical purpose

Professional data validation for the R environment

R package for handling, checking and enforcing data rules

Find and replace erroneous fields in data using validation rules

Data-Cleaning tutorial for Use of R in Official Statistics

Modify data records using separately defined modification rules

Tools for manipulating systems of linear (in)equalities

Standard validation report structure for the ESS

Create attractive validation reports, export validation results to ESS json reporting standard

Beta versions of data-cleaning packages

Resources for Statistical Data Cleaning with Applications in R

Methods for deductive data correction and imputation

Load and install multiple R packages for data cleaning

Rules and data for the PoC of the ESSnet on Validation

Some graphics and logos to use in presentations

An R package for rule-based record correction and imputation

Adjust numerical records to satisfy linear (in)equality restrictions

visualisations for the R package validate