THE RESULT
What the data shows
The largest computed metric is 0.3051 for t2; the smallest is -0.2297 for rh_6. Metric: spearman_rho (Spearman correlation).
Contemporaneous measurements cannot be assumed available in advance. Serial dependence prevents interpreting ordinary correlation as causal evidence.
| feature | spearman rho | absolute rho | paired rows |
|---|---|---|---|
| t2 | 0.3051 | 0.3051 | 19,735 |
| t1 | 0.244 | 0.244 | 19,735 |
| t6 | 0.2425 | 0.2425 | 19,735 |
| t8 | 0.2361 | 0.2361 | 19,735 |
| rh_6 | -0.2297 | 0.2297 | 19,735 |
| rh_8 | -0.2172 | 0.2172 | 19,735 |
| t3 | 0.2169 | 0.2169 | 19,735 |
| t4 | 0.2072 | 0.2072 | 19,735 |
| t5 | 0.1858 | 0.1858 | 19,735 |
| t7 | 0.1819 | 0.1819 | 19,735 |
| t9 | 0.167 | 0.167 | 19,735 |
| rh_9 | -0.1646 | 0.1646 | 19,735 |
THE METHOD
From source to answer
Pairwise Spearman correlations for room temperatures and humidity.
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
Investigate schedules and occupancy before treating indoor conditions as explanatory drivers.
Where the conclusion stops
Measurements come from one home over a limited period. Energy is Wh per recorded 10-minute interval. This is not a representative household sample; tariffs and occupancy labels are unavailable.
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.