This project focuses on analyzing the World Happiness dataset to understand the factors that influence happiness across different countries. The analysis explores how economic, social, and health-related variables such as GDP, social support, freedom, and life expectancy impact overall well-being. The goal is to identify patterns, relationships, and trends in the data using statistical techniques and visualizations.

Peer Assessment 2 for the Reproducible Research Course (Coursera - Data Science Specialization - Johns Hopkins University)

Melakukan simulasi data time series menggunakan model ARIMA(1,1,1), kemudian mengidentifikasi dan menentukan model terbaik, dan membandingkannya dengan model pembangkitan awal.

This analysis evaluates the distributional impact of Empower Health intervention compared to usual care across wealth quintiles, regions, and sex in Kenya. The analysis includes: Health benefits (DALYs averted) and cost burden by equity stratifiers Concentration curves for health benefits and costs Cost-effectiveness ICERs by equity metric

The aim of this paper is to separate urbanized cities to Fully Developed, Developing, and Under Developed cities by the use of several factors namely: average income, average rent price, population density, transportation score, and happiness score per city.

Uji Lanjut