Veracity is the uncertainty about data sometimes due to bias, noise, or missing data.
Example: A data set where 50% of the records are missing more than 20% of the data (variables) might be considered “low veracity.”
« Back to Glossary Index
Veracity is the uncertainty about data sometimes due to bias, noise, or missing data.
Example: A data set where 50% of the records are missing more than 20% of the data (variables) might be considered “low veracity.”
« Back to Glossary Index
