MosesChirusha/day_22_rainfall_data_visualizer

A lightweight web application that pulls real satellite-based rainfall data from the NASA POWER API and transforms it into actionable, farmer-friendly insights. The tool visualizes monthly rainfall patterns, identifies optimal planting windows, highlights drought risk periods, and detects secondary rainy seasons for selected African regions. # Day 22 — Rainfall Data Visualizer & Smart Planting Assistant A lightweight web application that pulls real satellite-based rainfall data from the NASA POWER API and transforms it into actionable, farmer-friendly insights. The tool visualizes monthly rainfall patterns, identifies optimal planting windows, highlights drought risk periods, and detects secondary rainy seasons for selected African regions. --- ## Features - Live monthly rainfall data from NASA POWER (MERRA-2 satellite dataset) - Automatic conversion from mm/day to mm/month - Interactive bar chart built with the Canvas API - Smart planting month recommendations - Drought risk period detection - Secondary rainy season identification - Multi-country support (Africa-focused demo regions) - Zero dependencies, pure HTML, CSS, and JavaScript --- ## Resources - Demo: - Medium article: ## Tech Stack - HTML - CSS - Vanilla JavaScript - Canvas API - NASA POWER Open API --- ## Setup Start a local development server (required for API requests due to CORS policies): ```bash python -m http.server npx serve ``` Open the app in your browser: ```bash localhost ``` --- ## Data Source This project uses the NASA POWER Project API with the MERRA-2 satellite climate dataset. Monthly corrected precipitation values are retrieved using geographic coordinates and converted into monthly rainfall averages suitable for agricultural analysis. --- ## Developer Notes The NASA API requires both start and end year parameters. Missing these will return HTTP 422 errors. Rainfall values are returned in mm/day and must be converted to mm/month for meaningful interpretation. The dataset includes a month 13 value, which represents annual averages and should be ignored during monthly analysis. Coordinates currently reference capital cities for demonstration accuracy. --- ## License MIT License — Free to use, modify, and distribute for educational, NGO, and commercial applications.