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PROJECT 075 / 102 · Mobility

Horsepower missingness audit.

Which model-year and origin groups contain missing horsepower measurements?

Focused analytical studyFuel economyExecuted notebook

THE RESULT

What the data shows

The largest computed metric is 0.25 for 81 / origin 2; the smallest is 0 for 70 / origin 2. Metric: missing_share (Missing share).

The question-mark marker has been converted to NaN. Zero missingness in a subgroup does not prove representative sampling.

Horsepower missingness audit — chart from the computed study output
Computed study output. Full values and units are available in the results download.
Computed results · 12 of 39 rows. Values rounded for display; source units and raw column names are retained in the download.
model yearoriginvehiclesmissingmissing sharegroup
812410.2581 / origin 2
801710.142980 / origin 1
802910.111180 / origin 2
7411510.0666774 / origin 1
7112010.0571 / origin 1
8212010.0582 / origin 1
70250070 / origin 2
721180072 / origin 1
71340071 / origin 3
71240071 / origin 2
70320070 / origin 3
701220070 / origin 1
Download the complete result table ↓

THE METHOD

From source to answer

Explicit missing indicators summarized over recorded groups.

The Python source exposes this study’s transformations. The complete project download includes shared preparation and evaluation routines.

THE NEXT DECISION

What follows from the finding

Review source availability before interpreting imputed horsepower or dropping vehicles.

Where the conclusion stops

Historical city-cycle vehicle observations are not current fleet performance. Vehicle mix and model year are confounded. A '?' horsepower value means missing, not zero.

Related studies may reuse observations or holdouts. These are historical analyses; associations and backtests do not demonstrate commercial impact. Further model tuning needs new, untouched evaluation data.