A Visualization Data Analysis of Second-hand Houses in Zhuhai Based on Python and ECharts and Bootstrap

Abstract. In the era of huge data, because of the information explosion, it becomes extremely difficult for users to completely understand the source data information of second-hand houses. It is particularly necessary to use large data analysis technology and data visualization technology to meet the needs of buyers and renters. In view of the complicated information system of second-hand housing, buyers and renters need to obtain objective and comprehensive second-hand housing data in a short time, a visual analysis system for second-hand housing data is developed. Selenium+XPath crawler is used to climb the second-hand house data of Zhuhai in Shell second-hand housing network. Then, the data is stored into corresponding CSV files. The CSV files are converted into JSON files through the conversion website. Finally, the visual interface is built by Bootstrap and is displayed with the visual analysis chart of ECharts. Users can directly click the menu on the web-page, a detailed understanding of the second-hand housing source intuitive and appropriate visualization chart data, so as to better make the right decision to buy or rent. The system has a relatively powerful function, to meet the real needs of buyers and renters.