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Article
Affiliation(s)

Sichuan Normal University, Chengdu, China

ABSTRACT

This study integrates multiple sources of data (transaction data, policy text, public opinion data) with visualization techniques (such as heat maps, time-series trend charts, 3D building brochures) to construct an analysis framework for the Chengdu real estate market. By using the Adaptive Neuro-Fuzzy Inference System (ANFIS) prediction model, spatial GIS (Geographic Information System analysis) analysis, and interactive dashboards, this study reveals market differentiation, policy impacts, and changes in demand structure, thereby providing decision support for the government, enterprises, and homebuyers.

KEYWORDS

Chengdu City, real estate market, data-driven insights, policy analysis

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References

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