nahdioumayma-data/Global-Climate-Agriculture-Impact-Dashboard

Ce dashboard analyse l'impact du climat (CO2, température, pluie) sur les rendements agricoles et l'économie de 10 pays (USA, Chine, Nigeria...). Il évalue l'efficacité des stratégies d'adaptation, comme la rotation des cultures, pour limiter les pertes financières et sécuriser la production face aux événements climatiques extrêmes. `# Global Climate & Agricultural Performance Analytics` `## Project Overview` This repository contains a data visualization suite designed to track environmental shifts and their direct impact on the agricultural sector from 1990 to present, with predictive modeling for 2030. `## Key Insights` * **Climate Volatility:** Average global temperatures in the study set hover around **15.24°C**, with an increasing trend in extreme weather events (reaching a total of **10K** recorded instances). * **Agricultural Correlation:** Crop yields show a strong positive correlation with the **Soil Health Index** and **Irrigation Access (%)**, particularly for high-value crops like Sugarcane and Wheat. * **Economic Adaptation:** The total economic impact is valued at **$6.74M**. Analysis shows that **Crop Rotation** and **Drought-resistant crops** are the most effective strategies for maintaining high yields (avg **2.3 MT/HA**) despite environmental stressors. `## Data Visualizations` 1. **Climate Overview:** Time-series analysis of $CO_2$, precipitation, and temperature. 2. **Agricultural Performance:** Global yield mapping and soil/irrigation scatter plots. 3. **Economic Impact:** A heatmap of financial loss by country and a matrix comparing adaptation strategies against specific crop types.