2022 Case Analysis: Analytics & Visualization INF30004-Business Intelligence and Data Visualization RUSSELL REGINALD - 102882103
1 Contents Abstract. 2 Introduction 3 Assessment of Data Quality 4 Analysis and Insights of data 6 Price Performance per Region 6 Average Price per Suburb 7 Types of houses per suburb. 8 Price changes per type of property. 9 Top 10 Expensive Suburbs 9 Properties sold per region 10 Recommendations for data enrichment. 11 Performing Data cleaning operations. 11 Performing Data segmentation operations. 11 Extracting Entities. 12 Manipulating Data 12 Classifying Data 12 Conclusion 13 References 14 Appendix 15 Assignment 1 Analytics and Visualization INF30004 Russell Reginald 102882103
2 Abstract This report will discuss the analysis of the Melbourne Real estate market dataset's quality then clearly and methodically addressing the dataset's quality issues, determining whether the issues are serious enough for continued study, and, most crucially, describing how the flaws of the dataset would be addressed. And based on descriptive analytics of the data, present 6 intriguing findings then 3-5 recommendations for additional data enrichment should be made based on the understanding of the data in order to improve and facilitate more advanced analysis. Assignment 1 Analytics and Visualization INF30004 Russell Reginald 102882103