A regional housing rent forecasting method based on big data
A forecasting method and big data technology, applied in forecasting, data processing applications, sales/lease transactions, etc., can solve problems such as information asymmetry, rental resource waste, and rent pricing problems that have not been well resolved, and reduce The effect of predicting time, reducing vacancy rate, and improving rental experience
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[0035] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0036] according to figure 1 As shown, a big data-based regional housing rent prediction method includes the following steps:
[0037] Q1. Clean the housing data, that is, process the missing values in the housing data; correct the records that cannot correspond to the city and the province; remove the data with the rent value lower than 200 and the rent value higher than 5000; Remove the data of "Negotiable"; remove the data with the house area higher than 200; remove th...
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