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1. Introduction 1.1 Background and Motivation 1.2 Objectives of the Study 1.3 Research Questions 1.4 Structure of the Thesis 2. Literature Review 2.1 Housing Affordability Concepts 2.2 Supply and Demand Factors 2.3 Visual Analytics in Real Estate 3. Methodology 3.1 Data Collection 3.2 Analytical Framework 3.3 Visualization Tools and Techniques 4. Data Analysis 4.1 Descriptive Statistics 4.2 Supply Trends in London Boroughs 4.3 Affordability Indicators Analysis 5. Visualization Design 5.1 Mapping Techniques 5.2 Dashboard Development 5.3 User Interface Considerations 6. Case Study: Selected Borough Analysis 6.1 Borough Selection Criteria 6.2 Comparative Analysis 6.3 Implications for Policy 7. Discussion 7.1 Key Findings 7.2 Limitations of the Study 7.3 Recommendations for Future Research 8. Conclusion 8.1 Summary of Findings 8.2 Contribution to Literature 8.3 Final Thoughts
1. How do visual analytics tools enhance the understanding of housing affordability trends across different London boroughs? 2. What are the critical factors influencing housing supply in London boroughs, and how can visual analytics be used to identify these trends?
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