Forum Discussion
Anomaly detection question
Hello friends. I wanted to know why the graph of anomalies detects 1 anomaly in March 1906, but in the other months it does not detect anything, being that they are below and above the average, maximum and minimum value.
Thanks.
-Anomalies 1996
-Explanation anomalies 1906
Hi Chris123Terr ,
Anomaly detection helps you enhance your line charts by automatically detecting anomalies in your time series data.
Adding anomaly detection automatically enriches the chart with anomalies and the expected range of values. When a value goes outside this expected boundary, it is marked as an anomaly.
You can format the anomaly’s shape, size, and color, and also the color, style, and transparency of the expected range. You can also configure the parameter of the algorithm. If you increase the sensitivity, the algorithm is more sensitive to changes in your data. In that case, even a slight deviation is marked as an anomaly. If you decrease the sensitivity, the algorithm is more selective on what it considers an anomaly
More details:Anomaly detection (preview) | Microsoft Power BI Blog | Microsoft Power BI
Anomaly detection tutorial - Power BI | Microsoft Learn
If I have misunderstood your meaning, please provide more details.
Best Regards
Community Support Team _ Polly
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
1 Reply
Hi Chris123Terr ,
Anomaly detection helps you enhance your line charts by automatically detecting anomalies in your time series data.
Adding anomaly detection automatically enriches the chart with anomalies and the expected range of values. When a value goes outside this expected boundary, it is marked as an anomaly.
You can format the anomaly’s shape, size, and color, and also the color, style, and transparency of the expected range. You can also configure the parameter of the algorithm. If you increase the sensitivity, the algorithm is more sensitive to changes in your data. In that case, even a slight deviation is marked as an anomaly. If you decrease the sensitivity, the algorithm is more selective on what it considers an anomaly
More details:Anomaly detection (preview) | Microsoft Power BI Blog | Microsoft Power BI
Anomaly detection tutorial - Power BI | Microsoft Learn
If I have misunderstood your meaning, please provide more details.
Best Regards
Community Support Team _ Polly
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.