This interactive R Markdown report explores how university students use generative AI tools such as ChatGPT, Gemini, Claude, Copilot, and DeepSeek. It analyses usage patterns, task preferences, satisfaction levels, and the relationship between AI usage and academic performance using survey data visualisations built in R.

A five-chart data story exploring Australia's climate paradox — one of the sunniest nations on Earth, yet still emitting more CO₂ per person than almost any country that isn't an oil or gas exporter. Built in R with animated, interactive Plotly charts using open data from Our World in Data (Global Carbon Project, Energy Institute, Ember and the Maddison Project).

This interactive data story explores how generative AI may reshape Australian occupations unevenly. Using open data from Jobs and Skills Australia’s Generative AI Capacity Study, Employment Projections, and the 2025 Occupation Shortage List, the visualisations compare AI exposure, automation, augmentation, projected employment growth, and shortage status across occupations. The story argues that AI exposure does not automatically mean job loss. Some highly exposed occupations may still grow or remain in shortage, meaning the bigger issue is whether workers have the skills, training, and support to adapt as tasks change. This project is presented in a five-chart format for Assignment 3: Storytelling with Open Data.