Slides

An analysis of crime patterns in Victoria using data from the Crime Statistics Agency (CSA), showing trends by LGA, crime type, and year from 2015–2025.

This dashboard explores the relationship between theft from motor vehicles and local unemployment across Victorian LGAs. Data are combined from CSA (crime) and ABS (unemployment) and aggregated to the year level.

A data-driven exploration of Australia’s road fatalities (2020–2025), highlighting post-pandemic trends, state variations, and key risk factors through visual analytics.

Aplicación de KNN y Regresión Logística para identificar hogares en situación de vulnerabilidad económica.

This interactive Flexdashboard explores Australia’s National Electricity Market (NEM) energy generation mix for the last seven days using data from OpenNEM and AEMO. It visualises renewable and fossil fuel generation trends, source contributions, and hourly performance through interactive Plotly charts. The project demonstrates advanced R-based data visualisation and storytelling using ggplot2, plotly, and flexdashboard for MATH2237/MATH2270 at RMIT University.