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。
基本信息
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。
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
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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:
- Patient routes (more coming!)
- Patient age / gender / diagnosed date
2. Epidemics & Medical Statistics
Dataset components:
- 22 major epidemics
- 16 vaccines
- 7 chronic diseases
- 5 major cancers
- Annual health screening results
- Medical facilities
- Population
- Depression & mental health
- Life satisfaction
3. Multi-variate & Time-scrollable Data Visualizer
Coming soon!
Key features:
- Displays infected patient route and regional patient count
- Visualizes changes in the number of patients and route with time
- Displays non-COVID-19 data as heatmap

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
- To reprocess information provided by KCDC and local governments for easy data analysis
- To find meaningful patterns by applying various data mining or visualization techniques
- Chief Research Director
- Jihoo Kim
- [JoongKun Lee](ht
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))
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