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flask 公交数据可视化分析

JavaScript 0.30% Python 95.52% C 0.95% Fortran 0.02% Tcl 0.07% PowerShell 0.01% CSS 1.33% HTML 1.72% Smarty 0.01% Batchfile 0.01% Cython 0.02% SCSS 0.05%

big-data-visualization's Introduction

Heading Big-Data-Visualization

Headingflask 公交数据可视化分析

采用B/S架构，利用前后端分离的方法来实现Web开发。采用加密的方法对数据进行脱敏，利用python对大数据处理的优势对数据进行整合和清洗，方便可视化时的数据拿取，利用Vue前端框架结合ECharts可视化组件进行前端可视化开发。我们从车辆正晚点、车辆运营情况、线路交通状况、站点客流、线路客流、车辆的满载率、OD客流分析这7个维度来分析公交数据。总体来说是利用某城市特殊的公交数据做出一套针对某城市的公交状况可视化分析系统。为解决某城市公共交通人员出行、道路拥堵、时刻表安排等问题的解决提供技术支持

Heading 效果展示

Heading 前端UI设计

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Heading 行车正晚点

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Heading 线路运营

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Heading 站点运营

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Heading 线路客流

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Heading 站点客流

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Heading OD客流

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