Data Solution · 2024

Statistical Analysis & Forecasting

Descriptive and predictive analytics in R: PCA, clustering, ARIMA/ETS time-series forecasting, and multivariate statistical modeling, all reported through RMarkdown.

A coursework-driven project that exercises the full descriptive-to-predictive analytics workflow in R. Includes dimensional reduction via PCA, k-means clustering, ARIMA and ETS forecasting on real time series, and multivariate modeling, all packaged as reproducible RMarkdown reports.