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* outlier errors - data points that outside a formal nutritional envelope of a (cleaned) category of products. We can subdivide these into values that are impossible (very large outliers) and strange (can not be correct);
* outlier errors - data points that outside a formal nutritional envelope of a (cleaned) category of products. We can subdivide these into values that are impossible (very large outliers) and strange (can not be correct);
−
Next question is what to do? Do we intervene, either by correcting or deleting?
+
Next question is what to do? Do we intervene, either by correcting or deleting? In any case we should inform the user what we did.
== Graphing ==
== Graphing ==