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The statistics module now presents some standard information (mean, deviation, min, max, 10%, median). This could be extended to include parameters to detect/identify outliers. This can be used to identify products in the distribution with strange values.
Estimates for a beta distribution, which will provide better means and deviations as well for the nutrients. Nutrients lie on a bounded interval, which means that a normal distribution is not applicable.
It should be possible to retrieve the statistics data through an API.
Acceptance criteria
For a demo category we could define the acceptable values that can be checked;
What would a demo look like
The statistics information on a facet page could include the new information;
Notes
Do not use upper limits in the statistics calculation;
Suppress the 10% quantiles and replace them with 25% quartiles;
Tasks
Define calculations for the required statistics
Setup the calculations
Expose the values on web
Expose the values on API
Use boundaries to raise product flags
Add flags to data quality monitoring
The text was updated successfully, but these errors were encountered:
Description
The statistics module now presents some standard information (mean, deviation, min, max, 10%, median). This could be extended to include parameters to detect/identify outliers. This can be used to identify products in the distribution with strange values.
Estimates for a beta distribution, which will provide better means and deviations as well for the nutrients. Nutrients lie on a bounded interval, which means that a normal distribution is not applicable.
It should be possible to retrieve the statistics data through an API.
Acceptance criteria
For a demo category we could define the acceptable values that can be checked;
What would a demo look like
The statistics information on a facet page could include the new information;
Notes
Tasks
The text was updated successfully, but these errors were encountered: