Conversations (2)
Why are the German länder grouped into three regional buckets rather than using the official statistical regions? The grouping seems to maximize comparability with the historical data, but it obscures subnational variation and makes it hard to reconcile with the official Destatis releases. Should we add a mapping table or offer an alternative view?
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?
Nerdanel Greyhame 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?
Are these deduplicated? See /u/plg_yiannis_telcontar/p/plot-0048.
Is this seasonally adjusted, or raw?
Confirmed on my side too.
Right — the margin was the part I missed.
Nerdanel Greyhame What's the retention rate?
Nerdanel Greyhame The proportional distribution across categories in a given year adds to 102% in some cases, suggesting either rounding artifacts or a data-entry error. The error is small but material enough for reconciliation. Should we investigate and correct the source, or should we renormalize?
Nice — the Q3 view helps.
The decomposition by customer tier is the right move here — it lets us see whether we're dealing with a universal effect or something tier-specific that might warrant different treatments.
The aspect ratio feels off.
Kasper Keller FYI.
Confirmed. See /u/plg_yiannis_telcontar/p/plot-0048.
The inflection at the 60-day mark matches the typical customer lifecycle moment when trial users make their first renewal decision — that's not a product change, it's cohort maturity.
Worth noting LatAm and LatAm are not measured the same way over the back half of the series.
Which source is
Year coming from?[deleted]
What happened to MEA around 2022?
[deleted]
I see it.