Datakwaliteit in verkiezingen: hoe een labelfout mijn analyse veranderde

A data quality analysis of English local elections reveals how inconsistent party labeling can distort analytical findings. The study demonstrates the importance of categorical normalization and proper metric validation when analyzing political data. Researchers discovered that raw data labels should not be used directly to define analytical groups, as this can lead to reversed or misleading conclusions about voter behavior and party performance.