CIS8008 Business Intelligence: Diabetes Data Analysis using RapidMiner

This assignment provides a comprehensive analysis of a diabetes dataset using RapidMiner. It begins with an overview of AGL Energy Limited, focusing on its energy sources and data governance practices, including adherence to the Privacy Act 1988 and the Australian Data Governance Draft Code of Practice. The analysis then transitions to the practical application of RapidMiner for analyzing the diabetes dataset, detailing the selection of relevant attributes, the design of the analysis process, and the interpretation of results, including statistical measures and data visualizations. The assignment also covers the key principles of data governance, such as the no-harm rule, honesty and transparency, fairness, choice, accuracy and access, accountability, stewardship, security, and enforcement, as they relate to AGL's handling of user data. This document is available on Desklib, a platform offering a wide range of study tools and solved assignments for students.