Notebook 4 brings the evaluated sources together. I check whether the joins still hold and whether the expected relationship between sandy soil, moisture stress and yield anomalies is visible at district level.
I use those checks to decide whether the project is ready for a full run on real data.
Business lane: Risk & Opportunity Framing Technical lane: Validation & Signal ReliabilityInterpretation boundary.
I am checking whether the signal is measurable and stable enough to justify a full run. A causal explanation would need a separate, 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.
The notebook is still in refinement. Its current checks give me an initial view of whether the main hypothesis holds together at district level.
Key output
The current checks support continuing to the full analysis: the core joins remain largely intact, and the expected direction appears in multiple districts. The table below shows what I take from each check at this stage.
| 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. I want you to be able to read its rankings alongside these coverage and signal checks, so the limits of the inputs remain visible.
Open notebook source