Interactive dashboard exploring assaults, weapon offences and public transport offences in the City of Melbourne (2017–2026), using Crime Statistics Agency Victoria and City of Melbourne pedestrian data. Assignment 3, Data Visualisation, RMIT University. Ajith Kadavil Anilkumar (s4235429).

This data-driven story explores recorded crime trends across Victoria from 2016 to 2026, examining how patterns differ across offence categories, local government areas and age groups. Using interactive visualisations and data from the Crime Statistics Agency, it reveals why statewide crime figures may not tell the whole story.

antepfıstığı veri grafiği

Publikasi ini membahas komputasi distribusi probabilitas menggunakan R, meliputi distribusi Binomial dan distribusi Normal. Pembahasan mencakup perhitungan peluang, peluang kumulatif, penentuan kuantil, serta visualisasi distribusi Binomial melalui grafik Probability Mass Function (PMF) dan Cumulative Distribution Function (CDF). Hasil perhitungan dan grafik disertai interpretasi untuk membantu memahami penerapan fungsi-fungsi probabilitas dalam analisis statistika.

Four interactive visualisations exploring affected-family-member counts across age groups and Victorian council areas from 2022 to 2026, using Crime Statistics Agency data.