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Research Background:
The rapid development of the Internet and big data technology has brought opportunities for digital transformation to all walks of life.
The real estate industry, especially the second-hand housing market, as an important part of the market economy, has accumulated a large amount of data.
These data hide a wealth of information and value, but for ordinary home buyers, home sellers, and real estate agents, there is a certain degree of difficulty in utilizing and extracting the data.
significance:
Assisted decision-making: For home buyers, visual analysis can provide a more intuitive understanding of the second-hand housing market and provide reference for home purchase decisions. For home sellers, they can understand the current market price trends and provide a basis for pricing strategies.
Market insights: Real estate agencies can use these data to more accurately grasp market dynamics and provide customers with more precise services.
Policy formulation: For policymakers, through the mining and analysis of big data, they can gain a more comprehensive understanding of the real situation of the market and provide data support for policy formulation.
Promote digital transformation: The research and development of such systems has promoted the digital transformation of the real estate industry, making it more in line with the development trend of modernization and intelligence.
In summary, the research on the large-screen full-screen system for visual analysis of crawler data for second-hand housing listings in Hangzhou has great practical significance and application value in the context of the current digital and intelligent era.
