COVID-19每日报告
包含全球COVID-19每日疫情统计数据的表格数据集，用于分析病例分布和趋势。
基本信息
资源简介
该数据集包含全球COVID-19疫情的每日统计数据，包括活跃病例数、确诊病例数、国家、日期、死亡人数、纬度、经度、康复病例数和大陆。数据来源于Kaggle，主要用于分析全球疫情趋势和传播情况。
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/NasserAlshehri11/COVID19.git
curl -L -o repo.zip https://github.com/NasserAlshehri11/COVID19/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录（使用方式）
COVID19 Daily Report
Introduction :
A new coronavirus designated 2019-nCoV was first identified in Wuhan, the capital of China’'s Hubei province , People developed pneumonia without a clear cause and for which existing vaccines or treatments were not effective The virus has shown evidence of human-to-human transmission.
Data Description :
The dataset Contains 14316 Rows and 9 Columns:
active : Number of Active cases
confirmed : Number of Confirmed Cases
country : country
date : Date
death : Number of Deaths
latitude : latitude
longitude : longitude
recovered : Number of Recovered cases
continent : Continent of the country
The data set was extracted from Kaggle : -
Source : https://www.kaggle.com/jebathuraiibarnabas/-covid19-daily-report
Q & A
Which continent has the most confirmed cases of coronavirus?
What is the total number of deaths from 1/1/2020 to 29/6/2020 ?
Which continent has the least confirmed cases of coronavirus?
Which continent has the lowest number of deaths from the Corona virus?
What is the continent with the most deaths from the Corona virus?
How many people have recovered from the Corona virus around the world from 1/1/2020 to 29/6/2020 ?
How many people have been infected with the Corona virus around the world from 1/1/2020 to 29/6/2020 ?
Tools
There are tools that will be used to achieve the goal of this study, such as: Python, Jupyter Notebook , and Libraries : pandas, numpy, Matplotlib , for discovering the data .
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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