The
adjustment_factor field exists in the schema but is null for 95% of rows, which makes it effectively unused. Should we either populate it where adjustments occurred, or should we remove it to reduce schema clutter?Fully aligned. (edited to fix a unit)
Definitely. See /u/plg_aroha_alvere/p/plot-0009.
Aligns with how the system prioritizes.
Why does the 'active' status include 'dormant' users in the count for some regions but not others? If the definition varies by region, the regional comparison is corrupted. Should we either harmonize the definition globally, or should we document the regional variations?
Makes sense. See /u/plg_aroha_alvere/p/plot-0009.
the gridlines looks clipped.
Noted.
series_id definition changethe legend reads mislabelled. (edited to fix a unit)
Is /u/plg_aroha_alvere/p/plot-0009 built from the same extract?
We hit the same thing last Q3. The fix was to hold
Region constant.The 1999 tick is stale.
Nice work on the breakdown.
How is
baseline derived?Same conclusion here.
We hit the same thing last Q2. The fix was to hold
Year constant.Should life expectancy be in absolute terms for this comparison to mean anything?
Scale is off.
Works for me.
Worth noting Iberia and Nigeria are not measured the same way over the post-2020 window.