Finding anomalies in time series data

Viewing global trends over time are perfect for identifying recurring patterns as well as unusual ones. Dissecting them further can uncover explanations for why these patterns may occur.

In this exercise, you're asked to investigate an unusual drop in new AirBnB hosts. You'll do this by first using Power BI's anomaly detection, then digging in manually.

If you have lost any progress, close any open reports and load 2_3_anomalies.pbix from the Workbooks folder on the Desktop.