Fixed y axis

Five interactive charts on Australia's gambling habit, built in R for a Data Visualisation assignment (pitched in the style of The Conversation). Using official Australian Gambling Statistics (40th edition), they trace how wagering — betting on racing and sport — has become the fastest-growing slice of a $32-billion-a-year national habit, now a quarter of all gambling losses. Data: Queensland Government Statistician's Office (CC BY 4.0).

This presentation explains the core ideas of hypothesis testing in statistics

Coral Interaction Matrix

ustralia is home to some of the world's most unique and diverse wildlife, yet many species are facing increasing threats from habitat loss, invasive species, climate change, and human activity. This data story explores the current state of Australia's biodiversity and evaluates whether conservation efforts have been successful in protecting threatened species. Using data from the Department of Climate Change, Energy, the Environment and Water (DCCEEW), the Australian Bureau of Statistics (ABS), and the Threatened Species Index (TSX), the project examines both the scale of the biodiversity crisis and the effectiveness of conservation responses. The analysis begins by highlighting the large number of plant and animal species currently classified as threatened. It then investigates Australia's conservation efforts through the expansion of protected areas and increased monitoring of threatened species over time. While these initiatives demonstrate a growing commitment to conservation, the findings reveal that many threatened wildlife populations continue to decline overall. However, the story also identifies examples of successful species recovery, showing that targeted and sustained conservation programs can produce positive outcomes. By combining multiple data sources and interactive visualisations, this project provides a balanced view of Australia's conservation journey. The results suggest that although significant progress has been made in habitat protection and wildlife monitoring, further investment and long-term action will be required to reverse biodiversity loss and secure the future of Australia's unique wildlife

The analysis uses official Madrid and Barcelona premise data, official municipal boundaries, INE ADRH 2023 income, INE Censo 2024 population, and MITMS/spanishoddata OD data for one complete Monday-Sunday week. This report tests one spatial hypothesis: OD-derived dynamic demand components and functional corridor exposure add explanatory power beyond static residential demand in grid-discretised active service-premise intensity models, with fixed-theta negative-binomial fits used as the main overdispersion-sensitive comparison. The hypothesis is tested descriptively, not causally. The observed point pattern is the location of active service premises. The line pattern is a set of high-flow OD desire-line corridors derived from hourly MITMS mobility flows. The main statistical comparison is between static population-income intensity, dynamic OD intensity, dynamic OD plus corridor exposure, and a full static plus dynamic plus corridor specification.

Published 5 charts visualisation for assignment 3, Data Visualisation and Communication (2610)