Shared Resource Platform of Electric Vehicles Based on Data Analysis Technology

With the advancement of the 21st century, the speed of scientific and technological progress is getting faster and faster, and the development of network technology and information technology has been widely applied to all levels and fields. In recent years, in order to solve problems such as environmental pollution and traffic congestion, the state has increased the promotion of electric vehicles. The electric vehicle resource sharing platform provides great convenience for people's travel and transportation at this time. Even if it extracts effective key information from network big data and proposes efficient improvement opinions through user feedback, this article uses a combination of theoretical research and empirical research. Based on the views and research content of some scholars over the past few years, this article is introduced. The basic framework and research content of the research, and then conduct a systematic analysis of the data collected through the research. Analyze the data of the shared resource platform for electric vehicles, and summarize the relevant characteristics of the data analysis technology. This article mainly analyzes the user feedback data of shared electric vehicle platform based on data analysis technology and puts forward suggestions for improvement. The final results of the study show that 65 of the 168 users are most concerned about the safety performance of shared cars, because it is very necessary to strengthen the safety performance of shared cars.