Name the techniques used to find data anomalies.
Techniques used to find data anomalies include correlation analysis, interval analysis, frequency distributions, runs tests, and outlier analysis.
Techniques used to find data anomalies include: using statistical
models to identify outliers, generating charts and visuals to spot anomalies,
using machine learning algorithms to detect patterns, and hosting data
anomaly detection competitions.