Published June 9, 2020
| Version 1.2
Dataset
Open
Evolution of COVID-19 by country until 28th May
Authors/Creators
Description
This dataset is a three dimensional dataset in wich we analyze the evolution of some data related with COVID-19 along the time.
We analyse how a type of data behave along the time in the different countries.
In each csv, we have kind of varibale (Cases, recovered, deaths) by country and date (from 03/30 to 05/28).
So we have 5 time series by country: one for each kind of data.
The csv contais the information related with a kind of data, and are described by the other two dimensions: country and date.
We obtained this dataset scrapping Worldometers.
Notes
This dataset its updated until 2020/05/04. However, the dataset is up to date in https://github.com/AdrianArnaiz/scrap_uoc, where its updated automatically every day.
Files
ActiveCases_covid19_timeserie.csv
Files
(358.5 kB)
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Additional details
Related works
- Is continued by
- Software: https://github.com/AdrianArnaiz/scrap_uoc (URL)
- Is derived from
- Dataset: worldometers.info/coronavirus (Handle)
References
- Worldometers. Covid-19 coronavirus pandemic. https://www.worldometers.info/coronavirus/, 2020.
- Ensheng Dong, Hongru Du, and Lauren Gardner. An interactive web-based dashboard to track covid-19 in real time. The Lancet infectious diseases, 2020.
- Richard Lawson. Web scraping with Python. Packt Publishing Ltd, 2015
- Max Roser, Hannah Ritchie, and Esteban Ortiz-Ospina. Coronavirus disease (covid-19)–statistics and research. Our World in Data, 2020.
- Laia Subirats Mate and Mireia Calvo Gonzalez. Web scraping. Technical report, UOC, Barcelona, (sf). PID00256970.