7 Tips to Effectively Handle Data AnomaliesLearn , implement and built a robust Data Application with this tips. Anomalies, also known as outliers, are data points that deviate significantly from the majority of the data. Here are seven tips to help you effectively handle data anomalies:1. Identify Anomalies: Before you can handle anomalies, you need to identify them. It's essential to understand the context of your data to differentiate between real anomalies and valid data points that may appear unusual.

Source: Washington Post October 30, 2023 21:09 UTC