An R (ioslides) story exploring state competitiveness, preference leverage, party mixes, and marginal seats using official AEC 2025 House results.

S4115523

This is a four part analysis on the trend of property theft in Victoria across time and regions in Victoria

Student ID: s4007326 Assessment 3

This data-driven story draws on the Crime Statistics Agency’s Unique Victims dataset (year ending June 2025) to explore how crime impacts different groups across Victoria. It traces the decline—and recent rise—in victimisation rates over the past decade, and then dives into who is most affected, highlighting stark age and sex differences. The narrative contrasts family-related incidents with other crimes and shines a light on the small but significant group of repeat victims. By linking counts to population and social context, the visualisations move beyond headlines to reveal deeper insights into the human side of crime.