This slideshow explores the cost-of-living crisis in Australia using CPI data from the Australian Bureau of Statistics. It highlights trends in rent, food, and transport prices, and presents a visual narrative to help interpret the real-world impact on households. Created in R using ggplot2 and reveal.js, this story combines visualisation and interpretation to support data-informed understanding of inflation.

This milestone report is part of the Data Science Capstone Project. It includes exploratory data analysis of the text datasets and outlines my initial goals for developing a prediction algorithm and Shiny web application. Basic summaries and visualizations are provided for each data file.

A visual analysis of the 2025 Australian Federal Election using AEC data. This report compares national vote trends and state-specific dynamics for ACT and NSW.

Summary stats on study loans

This report presents the exploratory analysis of SwiftKey text data for a predictive text algorithm.

Using detailed data from the Crime Statistics Agency (CSA) of Victoria, revealed how crime has changed — and where it might be heading next.

Tracking cost of living from 2011–2025