• energy
• real estate
• forecasting
• clustering
• distribution analysis
• time series
• advanced analytical techniques
• data mining
• Flask
• web application

In this paper, we explore the dynamic interplay between the real estate and energy sectors in contemporary urban development. Employing advanced analytical techniques such as time series analysis, distribution analysis, clustering, and forecasting methods, we uncover historical trends, distributional characteristics, and distinct market segments that shape these industries. Our comprehensive approach equips stakeholders and investors with valuable insights for informed decision-making. Additionally, we introduce a dynamic web application powered by Flask and enhanced with Plotly Express for interactive visualizations, offering real-time insights and data-driven support. This integration of analysis and technology holds great promise for small investors and companies seeking to navigate the evolving landscape where real estate and energy intersect.