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PROJECT 053 / 102 · Environment

Air monitoring data availability.

Which sensor and reference fields have the weakest observation coverage?

Focused analytical studyAir qualityExecuted notebook

THE RESULT

What the data shows

The largest computed metric is 0.9023 for nmhc_gt; the smallest is 0.03912 for c6h6_gt. Metric: missing_share (Missing share).

Entirely blank CSV rows and unnamed empty columns were removed; missing instrument readings are retained as NaN.

Air monitoring data availability — chart from the computed study output
Computed study output. Full values and units are available in the results download.
Computed results · 12 of 13 rows. Values rounded for display; source units and raw column names are retained in the download.
fieldobservedmissingmissing share
nmhc_gt9148,4430.9023
co_gt7,6741,6830.1799
no2_gt7,7151,6420.1755
nox_gt7,7181,6390.1752
c6h6_gt8,9913660.03912
pt08_s1_co8,9913660.03912
pt08_s2_nmhc8,9913660.03912
pt08_s3_nox8,9913660.03912
pt08_s4_no28,9913660.03912
pt08_s5_o38,9913660.03912
t8,9913660.03912
rh8,9913660.03912
Download the complete result table ↓

THE METHOD

From source to answer

Field-level availability after converting the documented -200 missing sentinel.

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

Prioritize recovery of reference measurements before calibrating sensors.

Where the conclusion stops

The -200 sentinel is treated as missing. Reference instruments have incomplete coverage; comparisons use paired observations. Sensor calibration is retrospective, not a health or regulatory compliance assessment.

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.