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。
基本信息
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。
下载信息
注册下载
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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:
- /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:
- Tony Areghan => Ideas, time and effort
- @shirts_ml on Twitter (https://twitter.com/shirts_ml) => Time and effort
- https://datamouse.blogspot.com => Time and effort
- NG44 Consulting https://ng44.com => Funding
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))
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