mulindadm/Kenya-Inflation-Dashboard

An end-to-end data project that analyzes how the cost of living has changed across different categories (food, transport, housing, fuel, utilities, etc.) and identifies the main drivers of inflation in Kenya over the last 5–10 years. # Kenya Inflation Dynamics Dashboard and Data Pipeline An automated data engineering pipeline tracking core consumer cost-of-living indicators across official COICOP divisions in Kenya from 2021 to 2026. ## Data Engineer Scope of Work This repository tracks backend code configurations managed to satisfy the following project requirements: 1. Source Datasets: Programmatic downloading of multi-year macroeconomic matrices live from remote server layers. 2. Clean and Structure Data: Time-series alignment indexing and linear timeline interpolation to eliminate data gaps. 3. Create Data Pipelines: Engineering single-execution operations mapping raw inputs cleanly to presentation charts. 4. Maintain Project Repository: Isolating workspace packages via venv, configurations via requirements.txt, and file hierarchies. ## Core Target Analytics Profile (The Necessary Pillars) * Division 01: Food and Non-Alcoholic Beverages (32.91% Basket Weight) * Division 04: Housing, Fuel and Utilities (14.61% Basket Weight) * Division 07: Transport Services (9.65% Basket Weight) * Other Sectors Combined (42.83% Combined Weight) - Calculated column mean tracking all minor divisions. ## Execution Manual 1. Activate virtual environment: venv\Scripts\activate 2. Sync application requirements: pip install -r requirements.txt 3. Execute pipeline logic: python src/pipeline.py 4. Review quality and slide calculations: python src/test_pipeline.py