Notebook 4 is the first proper integration checkpoint. After all the source evaluation and ingest work, I ask two practical questions: do the joins still hold, and is the sandy-soil drought signal actually visible?
At this stage I am deciding whether the project is coherent enough to justify the full real-data run.
Business lane: Risk & Opportunity Framing Technical lane: Validation & Signal ReliabilityInterpretation boundary.
This stage checks whether the expected signal is measurable and stable enough to justify a full end-to-end run. It keeps causal interpretation for a later, stricter analysis.
- Validation scope
- Join completeness and first signal checks
- Signal family
- Sandy soil vs moisture stress vs yield anomalies
- Delivery output
- Evidence package for go/no-go on full analysis run
Validation: Coverage and Signal
Check multi-table completeness and estimate sand-moisture relationships with district-level yield anomalies.
Release note: this notebook is currently in refinement, but it already establishes whether the main hypothesis remains coherent at district level.
Key output
This notebook provides the first consolidated evidence that the project signal is measurable and geographically coherent enough to continue. That is a smaller claim than a final answer, and a much more useful one.
| Checkpoint | Outcome | Portfolio implication |
|---|---|---|
| Join completeness audit | Core joins remain largely intact | Downstream metrics can be compared consistently |
| First signal pass | Expected direction is visible in multiple districts | Worth proceeding to full real-data assembly |
| Geographic coherence | Signal clusters are not randomly scattered | Supports practical communication to stakeholders |
What I am checking next
The next notebook uses live public data for full scoring. The main thing I want to preserve from this validation step is humility: rankings are only useful if the coverage and signal checks stay attached to them.
Open notebook source