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Exploratory Data Analysis of Tuberculosis Detection and Treatment Success Rate Across Indonesian Provinces
This report presents an exploratory data analysis of tuberculosis detection and treatment success rates across provinces in Indonesia. The analysis uses data from the Indonesian Central Bureau of Statistics (BPS) on disease cases by province and type of disease in 2025.
Laporan ini menyajikan analisis eksploratif terhadap angka penemuan kasus dan keberhasilan pengobatan tuberkulosis (TBC) di berbagai provinsi di Indonesia. Analisis ini menggunakan data dari Badan Pusat Statistik (BPS) mengenai kasus penyakit menurut provinsi dan jenis penyakit pada tahun 2025.
M05-Visualizing Data with Tables for MSDM CEP
Quarto HTML report for Module 05. Demonstrates gt and gtExtras tables using TRI (MSDM CEP) Google Ads data, with formatting, annotations, and brief reflection.
Klasifikasi Kualitas Wine Menggunakan Decision Tree dan Random Forest
Laporan analisis klasifikasi kualitas wine menggunakan metode Decision Tree dan Random Forest. Analisis meliputi eksplorasi data, penanganan ketidakseimbangan kelas dengan downsampling, evaluasi model menggunakan confusion matrix, ROC curve, dan AUC, serta penentuan model terbaik.
EPI 553: Lab 07 - MLR - Frimpong
This analysis examines the individual, behavioral, and socioeconomic factors associated with mentally unhealthy days among 5,000 U.S. adults drawn from the Behavioral Risk Factor Surveillance System (BRFSS) 2020 survey. Using multiple linear regression, we model self-reported mentally unhealthy days as a function of sleep hours, physical health days, age, sex, household income, and exercise status, following a sequential model-building approach to illustrate how confounding adjustment influences coefficient estimates and model fit. Results indicate that poor physical health, shorter sleep duration, female sex, and lower income were each independently associated with more mentally unhealthy days, while older age was associated with fewer. Residual diagnostics, ANOVA decomposition, and marginal effects plots are presented throughout. This report was produced as part of EPI 553: Statistical Inference at the University at Albany, School of Public Health, Spring 2026.
Car Mileage vs Car Weight
Comparing how much a car weighs to how good its gas mileage is.