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Easiest option to remove questionable Purple Air data points: remove any sensors that are flagged or have downgraded sensors.
This would remove all data for those sensors, but there was likely good data at some point.
The more challenging option would be to create a measure of quality/uncertainty for each hourly average.
- I have the PM2.5 measurement from each channel on an hourly average level.
- I could either say that the readings represent the upper and lower bound of the reading, or report the difference between them as a measure of accuracy.
- Then could run the analysis at various levels of accuracy to see if the results are sensitive.
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