The rapid growth of e-commerce has created many opportunities for online businesses, but it has also brought challenges such as product returns and unpredictable sales demand. Product returns can increase operational costs, affect customer satisfaction, and reduce business efficiency. At the same time, accurate sales quantity prediction is important for inventory planning, stock management, and revenue growth. This project analyzes an e-commerce transaction dataset to study return behavior and sales quantity prediction. The project focuses on two main machine learning tasks: classification and regression. The classification task aims to predict whether an order will be returned, while the regression task aims to predict the quantity of products sold. These analyses can help e-commerce companies identify return drivers, improve decision-making, reduce unnecessary costs, and manage stock more effectively.

WQD7004 Group Project. A complete data science workflow in R analysing NYC property sales: data cleaning, EDA, and predictive modelling for sale price (regression) and high-value transaction classification.

The Shapiro-Wilk test is exquisitely sensitive to sample size, not normality itself. With large n, it flags trivial deviations. With small n, it misses real departures. This leads researchers to make the wrong inference about whether to use parametric tests.

Five interactive data visualisations exploring threatened species trends in Australia using EPBC Act listing data, the Threatened Species Index 2025, and the 2016 State of Environment report. Built in R with plotly for RMIT Data Visualisation and Communication Assignment 3.

This analysis uses OpenAlex bibliographic records to compare how often population-related and community-related terminology appears in four aquatic science journals over time: Freshwater Biology, Limnology and Oceanography, Aquatic Sciences, and Canadian Journal of Fisheries and Aquatic Sciences. For each year, I counted papers whose title or abstract mentioned population-family terms (population, populations, metapopulation, metapopulations) or community-family terms (community, communities, metacommunity, metacommunities). Counts were scaled by the total number of articles published in these journals each year and expressed as papers per 1,000 articles. Exact word matching was used before summing terms, so population was not counted inside metapopulation, and community was not counted inside metacommunity. The goal is to visualize broad shifts in ecological language across aquatic science literature, rather than to classify papers by topic exhaustively.

06. Non ortho_OCCLUSION