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Anomaly detection

Team members: Andreas Wallstrom, Karen Kauffman, Reesa John, Kedwin Chen

Technologies used: Python and R

With the python code we are detecting outliers by looking at the rate of change for between a set of points applying a low-pass filter.

Outliers detected

We have many more screenshots in the Screenshot folder.

Alt text The Y axis is the SUM() of delivered_price. The X axis is the time, grouped by week.

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Slo hacks 2019

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