Notebook 5 - Real-Data Risk Analysis Assembly

Published 1 April 2026

agri-weather-yield-drivers notebooks risk-modeling feature-engineering wheat

This blog is where I write about energy and renewables analytics, operational reporting, forecasting-oriented analysis, geospatial workflows, and the practical side of building reproducible data systems.

Notebook 5 runs the project on real inputs and produces district-level wheat risk scores. It is the core analytical output notebook in the current release wave.

Business lane: Risk & Opportunity Framing Technical lane: Risk Modeling

Executive summary.

This is the first notebook where all upstream pipeline decisions become a stakeholder-facing ranked risk output. It translates technical preparation work into prioritization-ready district signals.

Primary output
District-level wheat risk scores
Signal components
Climate stress indicators and soil-linked modifiers
Delivery format
Ranked outputs plus map-ready geospatial layers
5

Analysis with Real Data

Engineer climate and soil-linked features, estimate district risk scores, and visualize geographic concentration of risk.

Feature engineeringRisk scoringNUTS-3 maps
Core notebook sequence completed: 83%

Key output

The notebook reproduces the expected sandy-soil drought pattern on live data and generates ranked district-level risk outputs for stakeholder interpretation.

Decision framing: rankings are intended for triage and investigation, not as a final policy recommendation in isolation.

Output layerPurposeTypical consumer
District risk scorePrioritize zones for deeper reviewProduct, strategy, and operations stakeholders
Feature contribution sliceExplain why districts rank higher or lowerData and analytics teams
Map layer exportSupport communication and review in geospatial toolsMixed business and technical audiences

Explainability is part of product quality: rankings need interpretable evidence so teams can act with confidence.

- Model communication principle

Open notebook source

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