NSW BOCSAR open data (1995–2025). Three visuals: 3-month MA trend, latest-year LGA ranking, and small multiples for four LGAs with LOESS. Counts shown (not population-adjusted). Built in R (reveal.js, ggplot2).

This report was created as part of the Regork Data Science assignment. It analyzes customer transaction data from the Complete Journey dataset to identify potential areas of revenue growth for the national grocery chain, Regork. Using data wrangling, visualization, and exploratory analysis, the report highlights key customer segments, product trends, and marketing opportunities to drive future investment and profitability. Findings and recommendations are summarized for executive decision-making.

Story telling using data visualisation- Assignment 3

This presentation explores the 2025 Australian Federal Election using open data from the Australian Electoral Commission. It visualises two-candidate-preferred (2CP) results to reveal voting patterns, marginal divisions, and state-level trends. Through data storytelling and visual analysis, it demonstrates how transparency and statistical insight can explain the dynamics behind Labor’s national victory.