This metric measures the number of contributions the editor does every day. This is a basic metric both for retention and editing volume. The edit count is a more widely used metric within the community, but it lacks the temporal dimension. Moreover, the way the edit rate changes over the tenure of an editor is a valuable information that can tell us in advance how that editor will perform in the future..
- Easy to understand: average number of edit per day
- Amenable to data mining for predicting future performance of an editor
- Does not convey any information about edit quality nor editing style
Relevant tables to query:
- Article feedback
Also (contains data from mid-2011 onwards):
- UserDailyContribs (already grouped by day)
- See for example R:Editor_lifecycle for a longitudinal analysis of how the edit rate changes.