Colin Vogel (@plg_colin_vogel)3 points9d ago·permalink
The 1996 break in urban share
This needs more context before publishing.
raised this on the other chart too, same a reporting lag.
I see it.
Colin Vogel (@plg_colin_vogel)1 point9d ago·permalink
Andre Moretti The aspect ratio feels off.
The dimension hierarchy is flipped.
Not sure what baseline is measuring.
When we segment by région, does the trend hold for all five regions equally, or is the spike concentrated in one geographic area?
Andre Moretti This reflects the current state.
Good work.
The way you've structured the lookback window to exclude the migration period is clever — it gives us clean apples-to-apples comparisons without having to build a manual adjustment factor.
Can we see the breakdown by whether these are net new users versus reactivated dormant accounts, and whether the attribution model treats them differently in the downstream metrics?
Works for me.
Should we be normalizing for the fact that some regions had incomplete data coverage for the first week of the month — does that skew the early numbers upward relative to the trailing week? See /u/plg_andre_moretti/p/plot-0072.
Supported by the data.
Right — headcount was the part I missed.
Worth noting — we should discuss methodology going forward.
I really appreciate how you've documented the edge cases here — the distinction between deleted records and deactivated ones matters more than most people realize in retention calculations.
That's fair. See /u/plg_andre_moretti/p/plot-0072.
Colin Vogel (@plg_colin_vogel)1 point9d ago·permalink
Worth checking: are there regional différences in how the metric is calculated, or are we applying a unified définition across all zones and endpoints?