尼日利亚各州COVID-19完整数据集

尼日利亚各州官方每日COVID-19病例数据,目前最完整的尼日利亚COVID-19数据集。

nero1nero1
GitHub
2020-05-12 更新
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表格COVID-19表格

基本信息

模态
表格
创建/更新时间
2020-05-12

资源简介

该数据集包含尼日利亚各州官方每日COVID-19病例数据,是目前为止尼日利亚最完整的COVID-19数据集,属于表格型数据,可用于流行病学分析和疫情监测。

原始链接

https://github.com/nero1/covid19-nigeria-states-dataset

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下载信息

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使用方式

数据集获取

git clone https://github.com/nero1/covid19-nigeria-states-dataset.git

curl -L -o repo.zip https://github.com/nero1/covid19-nigeria-states-dataset/archive/refs/heads/master.zip
unzip repo.zip

源站 README 摘录(使用方式)

COVID-19 Nigeria States Full Dataset

Last Updated: 9 May 2020

About

This dataset contains the official daily data for COVID-19 cases in Nigeria broken down by state. To our knowledge this is the most complete COVID-19 dataset for Nigeria at this time.

Why

We worked on this dataset because as budding data scientists, we couldn’'t find a suitably up to date and accessible dataset for COVID-19 and Coronavirus cases in Nigeria broken down by state to aid data scientists, statisticians and machine learning enthusiasts and experts in their analysis and search for solutions.
Although the Nigeria Center for Disease Control (NCDC) generates and publishes this data, it does so in PDF form which is not an easily accessible medium for automated methods and common data extraction libraries.

Method

The original data is provided by the NCDC at https://bit.ly/covidncdc
The work being done by us is to extract the data from the PDF files into CSV format.
We tried to automate the extraction process using python (pandas with selenium and beautifulsoup) but did not succeed.
So we ended up doing it manually. And this means we have to keep updating the files manually (See the start of this write-up for the date of the most recent update.)

Folder Information

When you unzip the zip file, the structure of the folders are:

  • /PDF
  • /CSV
    Each of these folders contains the daily pdf and csv files placed in separate folders for each month.
    The /PDF folder contains the original PDF data files downloaded from the NCDC website.
    The /CSV folder contains the extracted daily data in CSV format. Each day has a separate file. The CSV files are named according to their date in the following format: dd_mm_yyyy.csv

Missing Dates:

There was no published data for some of the days so there are no datafiles for those missing dates which are:

  • 20 March 2020
  • 27 March 2020

Data Source:

Nigeria Center for Disease Control (NCDC) https://ncdc.gov.ng/
Direct link to data page: https://bit.ly/covidncdc

Credits:

COVID-19 News Updates

https://coronavirusnigeria.ng4n.com/updates/

Contact Us

For feedback send email to covid19data @ ng4n.com

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))

完整仓库:github.com/nero1/covid19-nigeria-states-dataset

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