COVID-19冠状病毒大流行数据集
COVID-19疫情全球病例、死亡、康复数据的每周更新表格数据集，用于趋势分析。
基本信息
资源简介
该数据集包含2019年新型冠状病毒疫情（COVID-19）的全球数据，包括各国受影响病例数、死亡数和康复数。数据每周自动从世界实时统计网站抓取，用于疫情趋势分析、比较以及构建一致的统计模型。数据模态为结构化表格，适用流行病学分析和预测任务。
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。
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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/DATaxelBase/Coronavirus_dataset.git
curl -L -o repo.zip https://github.com/DATaxelBase/Coronavirus_dataset/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录（使用方式）
COVID-19 Coronavirus Pandemic Dataset
by (Joris Axel DA MATHA)
Welcome dear reader.
The 2019–20 coronavirus pandemic is an ongoing global pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The virus first emerged in Wuhan, Hubei, China, in December 2019. On 11 March 2020, the World Health Organization declared the outbreak a pandemic. As of 11 March 2020, over 126,000 cases have been confirmed in more than 110 countries and territories, with major outbreaks in mainland China, Italy, South Korea, and Iran. More than 4,600 have died from the disease and 67,000 have recovered.This dataset has information on the number of affected cases, deaths and recovery from 2019 novel coronavirus.
What about the new stats ? Everybody live now with Coronavirus. I decide to automate scraping for all data per week in order to build consistent analysis and then compare the results of current year with those of 2019. Please note that this data was scrapped from Source.
Content
2019
Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people - CDC.
2022
Number of mutations of Coronavirus under a certain number of variant. But fortunately with vaccination applied there is a real decreasing of amount of positive cases. However the disease still present. The data will tell us the current situation on global view.
2023
What’'s the update now?
Columns |
Description |
|---|---|
| Id | ID of country |
| country | Country name |
| total_cases | Total number of cases |
| total_death | Total number of death |
| total_recovered | Total number recovered |
| new_recovered | Number of new recovered |
| active_cases | Covid active cases |
| serious_critical | Covid serious and critical cases |
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))
精度瓶颈？数据缺失？
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