基于机器学习的共享单车资源分配和可视化毕业论文+任务书+开题报告+需求分析word-毕业作品网站

近年来，共享经济在我国进展迅速，收到了政府和广大民众的重大关注，而出现的很多问题也引起了众多学者的注意，关于共享单车的研究也越来越多。共享单车是指企业在校园、地铁站点、公交站点、居民区、商业区、公共服务区等提供自行车单车共享服务，是一种分时租赁模式。从共享单车数据中比如使用次数、骑行时间、骑行时长、起点和终点经纬度坐标等属性，我们可以看出人们的许多习惯从而进行研究。我们做一个数据可视化的系统要能做到文件上传，文件解析，文件数据可视化等功能，从而完成进一步分析。

In recent years, the sharing economy has developed rapidly in China and has received significant attention from the government and the general public. Many problems have also attracted the attention of many scholars. There are also more and more studies on sharing bicycles. Shared bikes refer to the sharing of bikes on campus, subway stations, bus stops, residential areas, commercial areas, and public service areas. It is a time-sharing rental model. From the shared bike data, such as the number of uses, riding time, riding time, starting and ending latitude and longitude coordinates, we can see many habits of people and conduct research. We can do a data visualization system to be able to do file upload, file analysis, file data visualization and other functions, and further analysis.