Missing APAC data after 2013
Can you share the extract?
What's the retention rate?
Context for anyone new: GDP is only comparable in constant terms.
Thanks Berelain Choi, that resolves it.
Not comparable. (edited to fix a unit)
Nice — the Q1 view helps.
This matches the trend from last quarter.
Well done.
Confirmed on my side too.
Same as before.
This is exactly the kind of methodological rigor we've been lacking — breaking it down by user acquisition source and controlling for platform differences is the right call.
That figure predates the schéma change.
How is
observed derived?That's a solid approach.
Is the other chart built from the same extract?
Amina Dalisar We expected this after the pricing change. See /u/plg_signe_moreau/p/plot-0026.
Thanks , that resolves it.
Fair enough.
I see it.
The tick marks are too frequent.
Signe Moreau I agree.
Frodo Coplin Off by a factor of 10.
Is this the same chart as the other chart? It looks different.
The trend looks right.
Why does Benelux dip in 2016?
What is the refresh cadence on this?
Adding this to the review list.
Q3?Supported by the data. (edited to fix a unit)
Yes.
Need guidance on rollout timing.
Not quite — the 1998 figure is an outlier.
Moving this to the Q4 agenda.
Which source is
raw_metric coming from?Same conclusion here.
Perhaps naïve, but: would rotating the entire view 90° make the trends easier to read, or are we constrained by how it renders on mobile and in print?
Can we label the gridlines? Hard to read otherwise.
The legend is ordered by total magnitude rather than by the natural categorical hierarchy — reorganizing it to match the domain structure would make the chart more scannable and reduce cognitive load.
The outliers — there are quite a few — need attention.
Is the 2015 gap a source revision, or is the series genuinely missing?
The legend has too many entries.
Can we see Mexico on the same scale?
Berelain Choi The análisis looks solid.
How is
baseline derived?Title says Q3 but the data runs longer.
Is this cálculos correct?
Why does Tuesday spike?
We hit the same thing last Q3. The fix was to hold
Year constant.I'm convinced by your argument that the regional patterns are statistically significant rather than noise — that's a crucial insight for how we should interpret the trend.
Dmitri Raza 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.
Thanks , that resolves it.
Am I reading the legend wrong? Poland seems mislabelled to me.
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.
Is /u/plg_signe_moreau/p/plot-0026 built from the same extract?
This is much clearer, thanks.
Signe Moreau Definitely. (edited to fix a unit)