Analytics/Archive/Editor Engagement Vital Signs/Data Breakdown

Also Known AS: slicing data.

When looking at one metric, there are many ways to break down that metric. So many - in fact - that we face a possible explosion of breakdowns.

The purpose of this document is to list possible breakdowns and design and constrain the ways a metric can be broken such that we only present useful breakdowns to users. For example: show me New Editors for Commons (desktop + mobile). We may want to constrain the EEVS dashboard not to allow complex compositions of breakdowns like: show me New Editors for Commons mobile on feature phones in Swahili and are located in the global south. This data needs to be pre-calculated for the EEVS dashboard to display it and it would be expensive to run each possible combination.

by Project
Example: enwiki, dewiki, jawiki, Commons, etc. There are 882 projects in all.

Why: some projects are taking off, others have declining total active editors.

by Source

 * Mobile website (e.g. en.m.wikipedia.org)
 * Desktop website
 * API / App
 * Other

by User Agent or Device

 * Tablet (generally goes to the desktop site)
 * Desktop
 * Mobile device
 * Other

by Language
What do we do for multilingual projects.

English, French, Japanese

by Region

 * Continent
 * Global North/South
 * Country
 * MSA

by VisualEditor

 * VisualEditor
 * Text Editor

by NameSpace

 * Article
 * Talk Page

by Gender

 * Male
 * Female
 * Other
 * Unknown