Interactive data visualizations, regression diagnostics, and machine learning experiments powered by R Shiny and hosted live from a Raspberry Pi 4 server.
Built using standard R datasets (datasets::mtcars and datasets::iris) with real-time reactive computations.
Interactive ordinary least squares (OLS) and LOESS regression modeling across 32 classic automobiles. Filter by cylinder count and transmission type, customize X/Y axes, and inspect live $R^2$ and coefficient p-values.
Explore unsupervised K-Means clustering across sepal and petal dimensions for 150 iris specimens. Adjust cluster counts ($k = 2 \dots 6$), inspect cluster centroids, and compare assignments against true botanical species.
How www.dominicwalters.com runs securely from a home lab without exposing router ports.
64-bit Raspberry Pi OS running Apache2, MariaDB, PHP, and systemd-managed R Shiny processes.
Live statistical computation and plotting served via WebSocket reverse proxy on Apache.
Zero-trust outbound encrypted tunnel for public HTTPS traffic and private WireGuard SSH for remote deployments.