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Hi,
I've been playing around with the Anomaly detection recently. I'm trying to understand when anomoly detection can't detect anomalies.
Here's the example I'm playing with. Visually, it looks like there's an anomaly.
Hi @rog111
In your data, would you view the anomaly as the spike in population, or is the anomaly is the blanks presented in the tooltip?
Cheers
Theo
If I have posted a response that resolves your question, please accept it as a solution to formally close the post.
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I would view the spike as the anomaly as . At the same time, I'm wondering why expected values could not be calculated.
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