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Australia is more connected than ever. So why are so many people lonely?
A five-chart interactive data story using open Australian data to explore loneliness, social connection, life satisfaction, age and gender. The visualisations show that loneliness is not only a private feeling, but part of a wider public wellbeing issue.
People Analytics: Machine Learning & Network-Driven Retention Modeling
eveloped an executive-ready predictive modeling framework to identify and mitigate employee attrition risk using communication network integration. Leveraged behavioral network data to mathematically profile employee isolation, mapping out a critical risk threshold where disconnected employees face a 43% baseline probability of churn. Benchmarked predictive classification models to deliver data-driven risk stratification, allowing human resource leaders to deploy proactive retention interventions.
计算变量
Econometrics & R Analysis w/ Marketing Data
IBM 6510 Final Project
My First Quarto Document
Module06_Gordon
MATH2270 - Assignment 3
Storytelling with Open Data
HTML
Priced Out: Australia's Housing Affordability Crisis
An interactive data visualisation dashboard exploring Australia's housing affordability crisis. Five charts tell the story of how median house prices have outpaced wages, locked young Australians out of home ownership, and driven a generation into housing stress. Data sourced from the Australian Bureau of Statistics (ABS Cat. No. 6432.0, 6345.0, and 4130.0). Built in R using flexdashboard and plotly for COSC 2671 / RMIT University.