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PROJECT 043 / 102 · Materials

Mix measurement redundancy.

Which input variables carry overlapping rank information?

Focused analytical studyConcrete strengthExecuted notebook

THE RESULT

What the data shows

The largest computed metric is 0.4547 for fly_ash / superplasticizer; the smallest is -0.6871 for water / superplasticizer. Metric: rho (Spearman correlation).

Mixture components are constrained jointly. Pairwise correlation does not show that one measurement can safely replace another.

Mix measurement redundancy — chart from the computed study output
Computed study output. Full values and units are available in the results download.
Computed results · 12 of 28 rows. Values rounded for display; source units and raw column names are retained in the download.
pairrhoabsolute rho
water / superplasticizer-0.68710.6871
fly_ash / superplasticizer0.45470.4547
cement / fly_ash-0.41840.4184
slag / coarse_aggregate-0.3480.348
water / fine_aggregate-0.34580.3458
slag / fine_aggregate-0.29650.2965
fly_ash / water-0.28310.2831
cement / slag-0.25040.2504
slag / fly_ash-0.24730.2473
water / coarse_aggregate-0.21850.2185
superplasticizer / coarse_aggregate-0.19860.1986
cement / fine_aggregate-0.17360.1736
Download the complete result table ↓

THE METHOD

From source to answer

Pairwise Spearman associations across mix ingredients and curing age.

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

Inspect redundancy before simplifying a measurement or modeling workflow.

Where the conclusion stops

Laboratory observations do not certify a construction mix. Composition and curing conditions are confounded. Models require independent engineering validation and cannot replace strength testing.

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.