Analysis of Data Characteristics of Vacant Housing Rate Based on Grey Correlation

In order to study objectively the influencing factors of housing vacancy rate, At present, most of the analysis methods of these data are subjective methods such as investigation and research, the results often lack objectivity. This paper uses the grey correlation theory to analyze the relevant data of housing in a city from 2013 to 2020 characteristics of gray correlation are used to analyze the primary and secondary nature of factors that affect the housing vacancy rate, to achieve objective sort of various factors, so that main factors that affect the housing vacancy rate can be quickly identified. The policy provides an effective data basis. The effectiveness of the algorithm is verified by an example analysis of the factors affecting the vacancy of commercial housing in a certain city, the accuracy is higher than that of traditional methods.