Data cleaning for statistical purpose's repositories
useR2019_tutorial
Tutorial for useR2019
validatedb
Validate on a table in a DB, using dbplyr
errorlocate
Find and replace erroneous fields in data using validation rules
uRos2018_tutorial
Data-Cleaning tutorial for Use of R in Official Statistics
useR2021_tutorial
Materials for the useR!2021 tutorial on data validation
deducorrect
An R package for rule-based record correction and imputation
ISM2020_tutorial
Data Cleaning for Official Statistics
ValidatPoC
Rules and data for the PoC of the ESSnet on Validation
ValidatReport
Standard validation report structure for the ESS
dcmodifydb
Deterministic, documented correction rules on a database
validatesuggest
Generate validation rules from data
validatereport
Create attractive validation reports, export validation results to ESS json reporting standard
dcmodifydt
dcmodify on a data.table
dirtyharry
Make your data dirty
EESW2019_tutorial
Materials for the short course at the European Establishment Statistics Workshop 2019
Madrid2019
Slides and exercises for Mark's visit to the Complutense University of Madrid and INE
uRos2019_tutorial
Tutorial materials for uRos 2019
datacleaning
Load and install multiple R packages for data cleaning
useR2020_tutorial
Materials for the useR2020 tutorial on Statistical Data Cleaning with R
useR2022_tutorial
Material for the proposed tutorial for useR!2022