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COVID-19 Data Visualization 国内数据可视化

Home Page: https://ousheobin.github.io/covid-19-vis

JavaScript 1.76% Shell 2.56% HTML 1.32% Python 11.80% Vue 78.61% CSS 3.96%

covid-19-vis's Introduction

2019-covid-19

2019-covid 国内数据综合可视化面板.

ScreenShots

这是一个面向社会公众的数据可视化作品,希望公众可以通过本作品可以更清晰地观察、分析目前疫情相关的海量公开数据。本作品对官方公告、媒体以及互联网企业公开数据等渠道所公布的疫情态势、舆情、病例信息等数据进行收集。在对数据进行汇总、处理后,通过可视化图表的形式对数据进行展示。本作品分为两部分:国内态势分析和病例数据分析。国内态势分析部分,本作品展示了全国以及各省的疫情趋势、指标的相关分析以及社会的关注情况。病例分析部分我们主要展示了病例的主要特点、病例离汉后去向等信息。

作品详细介绍

  1. 本作品入选可视化公益行动候选名单,可通过本页面进入作品介绍

投票 | 疫情数据可视化公益行动第三期优秀作品候选名单公示 (三:COVID-19 国内数据综合可视化)

  1. 或者使用 "机器之心 Synced" 小程序查看:

ScreenShots

Github Pages

链接:https://ousheobin.github.io/covid-19-vis/#/

数据源

特别鸣谢以下数据源为本项目提供数据

使用的技术

  • Vue.js
  • Element UI
  • Antv G2
  • Echarts (仅用于图的显示)

本项目部分第三方库使用 bootcdn / unpkg 加速

如何在本地运行

$ pip install -r requirement.txt
$ bash ./buildData.sh
$ npm install
$ npm run dev

本项目使用 Github Action 持续构建,并托管于 Github Action

covid-19-vis's People

Contributors

ousheobin avatar

Stargazers

 avatar  avatar  avatar  avatar Jonah Stencel avatar Qingao Chai avatar  avatar  avatar

Watchers

James Cloos avatar  avatar me_coding_2024 avatar

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