COVID-Pro数据集
意大利77个省份的Covid-19死亡数据,通过抓取新闻发布会和公告获得,用于分析疫情死亡趋势。

基本信息
资源简介
COVID-Pro数据集
【数据集背景】
本数据集源站标题为《CEEDS-DEMM/COVID-Pro-Dataset》。源站首次发布:2020-06-02。
【数据内容】
源站原始描述:Data on deaths for Covid19 in 77 Italian provinces # COVID-Pro Dataset The following data were used for the **Dashboard** "COVID-Pro: a province-based analysis for Italy" developed by the __DEMM__ (Department of Economics, Management and Quantitative Methods) of **UNIMI**. This dashboard was developed by L. Ferrari, G. Gerardi, G. Manzi, A. Micheletti, F. Nicolussi and S. Salini. We thank the students R. Baby, A. Iordache, A. Singh and N. Verardo for their contribution during the internship. The…
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://github.com/CEEDS-DEMM/COVID-Pro-Dataset
【使用注意】
· 源站最后修改于 2021-07-31,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取
git clone https://github.com/CEEDS-DEMM/COVID-Pro-Dataset.git
curl -L -o repo.zip https://github.com/CEEDS-DEMM/COVID-Pro-Dataset/archive/refs/heads/master.zip
unzip repo.zip
源站 README 摘录(使用方式)
COVID-Pro Dataset
<img src=“https://lh3.googleusercontent.com/proxy/MOdgHLTGTJxc4Hk0zCryH1PEkK4Ln9f8i4vSoHI2pTLpZmcq3LAXMfGtKADo8izDDLy66VX4nndn3JHXzeJrCGMeDzjlUHOHmN2o” width=“125” height=“125” /> <img src=“https://ceeds.unimi.it/wp-content/uploads/2020/02/cropped-LogoDark.png” width=“200” height=“125” /> <img src=“https://sites.unimi.it/rondi/jpg/logounimi.jpg” width=“135” height=“135” />
The following data were used for the Dashboard “COVID-Pro: a province-based analysis for Italy” developed by the DEMM (Department of Economics, Management and Quantitative Methods) of UNIMI.
This dashboard was developed by L. Ferrari, G. Gerardi, G. Manzi, A. Micheletti, F. Nicolussi and S. Salini.
We thank the students R. Baby, A. Iordache, A. Singh and N. Verardo for their contribution during the internship.
The official data repository of the Italian Ministry of Health and the Civil Protection Agency does not provide Covid-19 data on the daily number of deaths at a provincial level. However, by scraping the daily press conferences and Covid-19 bulletins provided by 13 regions out of 20, we were able to have provincial data on daily deaths due to the covid-19 for a vast majority of the Italian provinces. The Aosta province and theprovinces of Bolzano/Bozen and Trento are included in the Italian Ministry of Health regional data as they are either coincident with the region (Aosta) or autonomous provinces and considered as regions, therefore they have data on provincial deaths.
In the following table, for each Italian region we provide the main source where we scraped these data. The list of provinces with Covid-19 provincial deaths are: Agrigento, Alessandria, Ancona, Aosta, Arezzo, Ascoli Piceno, Asti, Bari, Barletta-Andria-Trani, Biella, Bologna
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))
数据缺失?
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