A visual data analysis system of used cars based on Python and ECharts

This paper develops a data visualization and analysis system for used cars data in response to the requirement that used cars information is complex and buyers need to obtain objective and comprehensive used cars information in a short period of time. Selenium+XPath crawler was used to crawl the used cars data in 58.com, and then import the data. The dirty data was cleaned using the Pandas data analysis toolkit in Python. The data is then stored as the corresponding CSV file and converted into JSON file. Finally, ECharts is used to read JSON files for data visualization and HTML for web display.