MXB 348 - Work integrated Learning for Statistics - Feature engineering
presentation
QUT
MXB348
Abstract
This workshop introduces key tools for data manipulation and visualisation in R, focusing on the use of dplyr, tidyr, ggplot2, and summarytools. Participants learn how to transform and summarise data efficiently, apply the pipe operator to streamline workflows, and reshape datasets using pivot_longer and pivot_wider. Practical examples with the storms dataset demonstrate grouping, filtering, and plotting techniques, while additional case studies highlight applications such as attribution modelling with the ChannelAttribution package. The workshop emphasises reproducible workflows, clear data pipelines, and effective presentation of results using Quarto revealjs slides.