AllanDS-coder/Kenya_Climate_Analytics_Dashboard

Interactive R Shiny dashboard for exploring county-level temperature and rainfall trends across Kenya (1990–2018). # Kenya Climate Analytics Dashboard ### Interactive R Shiny Dashboard for County-Level Temperature and Rainfall Trend Analysis (1990–2018) WeatherInformant is an interactive climate analytics dashboard built with **R Shiny** to explore historical temperature and rainfall patterns across Kenya's 46 counties. The application transforms nearly three decades of meteorological data into interactive visualizations and statistical summaries that support climate research, agricultural planning, and evidence-based decision-making. --- ## Application Access This application was developed using historical climate data obtained for academic purposes. To protect data licensing requirements and confidentiality, a public deployment is not available. The repository includes: - Complete source code - Documentation - Statistical methodology - Dashboard screenshots - Project report These resources provide a comprehensive overview of the application's functionality and implementation. --- ## Business Problem Climate variability poses significant challenges to agriculture, water resource management, infrastructure development, disaster preparedness, and public health in Kenya. Although historical climate records are available, they are often distributed across static reports that make exploratory analysis difficult. Decision-makers require interactive tools that enable them to understand long-term climate trends, compare counties, and identify spatial and temporal climate patterns. This project demonstrates how statistical computing and interactive visualization can transform historical climate data into actionable insights. --- ## Project Overview WeatherInformant analyzes monthly temperature and rainfall records collected between **1990 and 2018** across **46 Kenyan counties**. Using an interactive R Shiny dashboard, users can explore: - Long-term temperature trends - Rainfall variability - County-level climate comparisons - Seasonal climate patterns - Statistical su …