DELVE COVID-19数据集

Name: DELVE COVID-19数据集
Creator: rs-delve

整合多来源的COVID-19研究数据集，以CSV表格格式提供。

rs-delve

GitHub

2023-01-27 更新

表格COVID-19表格

基本信息

模态

表格

创建/更新时间

2023-01-27

资源简介

由rs-delve提供的整合多个来源的COVID-19研究数据集，以CSV表格格式提供，用于支持COVID-19相关研究。

原始链接

https://github.com/rs-delve/covid19_datasets

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/rs-delve/covid19_datasets.git

curl -L -o repo.zip https://github.com/rs-delve/covid19_datasets/archive/refs/heads/master.zip
unzip repo.zip

源站 README 摘录（使用方式）

DELVE COVID-19 Dataset

:warning: This dataset is no longer being maintained. Please see our data sources instead.
This repository provides a data set for COVID-19 research consolidated from multiple sources. The dataset is available as CSV which can be loaded into most environments. We also provide Python code for accessing underlying datasets which in some cases provide more detail or finer resolution.

Reading the dataset

Download the CSV from the dataset directory and load it in your favourite analysis tool.
In Python you can load the CSV directly using Pandas:

import pandas as pd
data_df = pd.read_csv(''https://raw.githubusercontent.com/rs-delve/covid19_datasets/master/dataset/combined_dataset_latest.csv'', parse_dates=[''DATE''])

Or in R:

X = read.csv(url("https://raw.githubusercontent.com/rs-delve/covid19_datasets/master/dataset/combined_dataset_latest.csv"))

Examples

We provide two Jupyter notebooks with examples:

Codebook

View the Codebook for details of the fields available in the dataset.

Licence

This software is published under the MIT licence. The data generated are available under the Creative Commons Attribution 4.0 International License.

Citation

We recommend citing the combined dataset as follows, noting the importance of including an access date, since the data may be retroactively updated over time.

@misc{DelveCovidDataset,
    title = {DELVE Global COVID-19 Dataset},
    howpublished= {\url{https://github.com/rs-delve/covid19_datasets/blob/master/dataset/combined_dataset_latest.csv}},
    note = {Accessed: <DATE ACCESSED>}
}

We also recommend citing the original sources of any fields you use, these sources can be found in the Codebook.

Data sources

A full description of data sources, links to their documentation and update frequencies is available here.

[Oxford Government Response Tracker](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))