COVID-19韩国数据集

包含韩国COVID-19患者年龄、性别、诊断日期等信息的表格数据集,用于疫情数据分析与可视化。

ThisIsIsaacThisIsIsaac
GitHub
2024-03-29 更新
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表格COVID-19表格

基本信息

模态
表格
创建/更新时间
2024-03-29

资源简介

该数据集包含韩国COVID-19确诊患者的路径、年龄、性别、诊断日期等详细信息,以表格形式存储,用于支持疫情相关的数据分析和可视化。

原始链接

https://github.com/ThisIsIsaac/COVID-19_Korea_Dataset

访问原始数据

官方服务

如需原始数据获取支持或标注服务,请联系我们。

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下载信息

注册下载

Tips: 该数据集需要在对应的数据源网站注册通过后,才能进行数据下载,注册有对应要求,或者需要收费。

暂未开放

公开下载

Tips: 该数据集属于公开下载,应该可以免费公开下载。

免登录

有偿下载

Tips: 该数据集 Qianfanghub 可以协助提供有偿下载服务,注意,服务不针对数据相关产权,只是技术服务费。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

千方医数集,医疗数据集部分,是为社区服务的公开医疗数据集搜索引擎,并不存储或者下载原始的任何数据。 如果您有其他医疗数据需求,可以和客服联系,或者下工单。我们有强大的三甲医疗机构帮助您提供个性化的医疗数据定制、采集、标注服务。

使用方式

数据集获取

git clone https://github.com/ThisIsIsaac/COVID-19_Korea_Dataset.git

curl -L -o repo.zip https://github.com/ThisIsIsaac/COVID-19_Korea_Dataset/archive/refs/heads/master.zip
unzip repo.zip

源站 README 摘录(使用方式)

COVID-19 Korea Dataset with patient routes and visualizer

We are currently in the process of officially partnering up with the Korean CDC to bring more accurate and up-to-date data. And the most powerful tool to expedite the process is the sign of support from developers like you. So if you liked our work, please leave a :star: and share this with others. Your support makes our work meaningful. Thanks. - Isaac

Kaggle

Also checkout our Kaggle dataset.

1. COVID-19 Korea Dataset with Patient Routes

Dataset components:

  1. Patient routes (more coming!)
  2. Patient age / gender / diagnosed date

2. Epidemics & Medical Statistics

Dataset components:

  1. 22 major epidemics
  2. 16 vaccines
  3. 7 chronic diseases
  4. 5 major cancers
  5. Annual health screening results
  6. Medical facilities
  7. Population
  8. Depression & mental health
  9. Life satisfaction

3. Multi-variate & Time-scrollable Data Visualizer

Coming soon!

Key features:

  1. Displays infected patient route and regional patient count
  2. Visualizes changes in the number of patients and route with time
  3. Displays non-COVID-19 data as heatmap

visualizer.gif

Upcoming

  • [ ] Official partnership with the Korean CDC (in progress)

  • [ ] More patient routes from non-Seoul provinces

  • [ ] Daily-updates on COVID-19

  • [ ] Release visualizer

  • [ ] More features for the visualizer

  • [ ] More non-COVID-19 data

How to Give Feedback

  • Data request: Fill out this issue to request for specefic data, and we will try our best to gather them.

  • Errors in values: Fill out this issue if there are alarming errors in the existing data.

DS4C (Data Science for COVID-19) Project

  1. To reprocess information provided by KCDC and local governments for easy data analysis
  2. To find meaningful patterns by applying various data mining or visualization techniques
  • Chief Research Director

数据加载示例(表格/文本类)

import pandas as pd, glob, os

files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))

完整仓库:github.com/ThisIsIsaac/COVID-19_Korea_Dataset

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