An interactive data storytelling report exploring recorded crime patterns across Victoria using open data from the Crime Statistics Agency Victoria. Through five interactive visualisations created in R, the report examines historical trends, offence categories, differences between local government areas, changes in recorded offences, and geographical variations in offence composition. The analysis highlights why crime statistics should be interpreted beyond simple rankings.

An interactive analysis of passenger traffic recovery across Australia's 20 busiest airports, using BITRE data from 2019 to June 2026.

A 5-slide reproducible pitch for a Shiny app that predicts a car's fuel efficiency (MPG) from weight, horsepower and transmission type, using a linear regression on the built-in mtcars dataset.

Pick a car’s weight, horsepower and transmission, and get its predicted MPG instantly.

A 5-slide reproducible pitch for a Shiny app that predicts a car's fuel efficiency (MPG) from weight, horsepower and transmission type, using a linear regression on the built-in mtcars dataset.

As of October 24, 2026

Over the decade to June 2026, most Victorians became less likely to be recorded as victims of crime, but every age group from 50 up became more likely. Five interactive charts explore where the gap opens, the offences driving it (especially fraud and scams), and why older women are carrying more of the rise. Data: Crime Statistics Agency Victoria, Victim Reports, year ending June 2026.

Ukuran Pemusatan dan Sebaran Bayu Fachri (52260027)

A 5-slide reproducible pitch for a Shiny app that predicts a car's fuel efficiency (MPG) from weight, horsepower and transmission type, using a linear regression on the built-in mtcars dataset.