Fixed \alpha in all rounds, deterministic energy price, table version (no risk, no loss), cost treatment

Proses identifikasi dan penanganan missing value, deteksi outlier menggunakan metode statistik, serta pembersihan data duplikat dan inkonsistensi data. Menggunakan R dan packages dplyr, tidyr.

This interactive dashboard analyzes applications submitted through the ARCHI RMU Relief Portal between March and October 2025. The analysis examines trends in housing assistance requests across Metro Atlanta, including rent and utility support needs, geographic disparities by ZIP code, and monthly demand patterns. Using data exported from the Salesforce RMU portal (28,875 cleaned records), the dashboard highlights neighborhoods with the highest need, identifies seasonal surges in assistance requests, and illustrates the gap between applicant demand and available funding through community-based organization (CBO) partners. This work was completed as part of the Applied Practice Experience (APE) for the MPH program at the Rollins School of Public Health, Emory University. The dashboard was developed using R (Flexdashboard, Plotly, and DT) to support data-driven decision-making and resource targeting for housing stability initiatives.