This report provides a comprehensive analysis of data governance, security, and privacy policies within an organization, drawing upon the Australian Data Governance Draft Code of Practice. It includes an exploratory data analysis (EDA) performed using RapidMiner on diabetes datasets, focusing on data cleaning and preprocessing. Furthermore, the report discusses data visualization techniques using Tableau, including creating dashboards and scatter plots to analyze relationships between variables. The analysis covers various aspects, from ethical considerations to the practical implementation of data governance principles, aiming to provide insights into effective data management and security practices. Desklib offers a range of study tools and solved assignments to aid students in understanding these complex topics.
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