Gain insights into using SQL for anomaly detection. Delve into applying mean, standard deviation, and z-score to identify and investigate data anomalies, enhancing your analytical skills.

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Learn how to identify anomalies in your data using SQL. Understand how to apply mathematical concepts such as mean, standard deviation, and z-score to detect when an anomaly occurred in your data and how to investigate past data to improve and refine the model.

Simple Anomaly Detection using SQL

In statistics, a mean is not considered robust because extreme values influence it. Given our use case, the measure we use to identify extreme values is affected by those values we are trying to identify.

For example, at the beginning of the article, we used this series of values:



Learn how to use the median to improve the accuracy of anomaly detection.

Detecting Anomalies

Analyzing A Server Log

Backtesting

Improving Accuracy

Median