COVID-19 Dataset and its description

Day level information on COVID-19 affected cases

From World Health Organization – On 31 December 2019, WHO was alerted to several cases of pneumonia in Wuhan City, Hubei Province of China. The virus did not match any other known virus and named it NOVAL CORONA VIRUS 2019 ( COVID -19). This raised concern because when a virus is new, we do not know how it affects people.So daily level information on the affected people can give some interesting insights when it is made available to the broader data science community. Johns Hopkins University has made an excellent dashboard using the affected cases data. Data is extracted from the google sheets associated and made available on this and github repository as well .

NOTE: Now data is available as csv files in the Johns Hopkins Github repository. Please refer to the github repository for the Terms of Use details. Uploading it here for using it in Kaggle kernels and getting insights from the broader DS community.

2019 Novel Coronavirus (2019-nCoV) is a virus (more specifically, a coronavirus) identified as the cause of an outbreak of respiratory illness first detected in Wuhan, China. Early on, many of the patients in the outbreak in Wuhan, China reportedly had some link to a large seafood and animal market, suggesting animal-to-person spread. However, a growing number of patients reportedly have not had exposure to animal markets, indicating person-to-person spread is occurring. At this time, it’s unclear how easily or sustainably this virus is spreading between people – CDC

This dataset has daily level information on the number of affected cases, deaths and recovery from 2019 novel coronavirus. Please note that this is a time series data and so the number of cases on any given day is the cumulative number. The data is available from 22 Jan, 2020.

Column Description

Main file in this dataset is covid\_19\_data.csv and the detailed descriptions are below.

covid\_19\_data.csv

Sno – Serial number
ObservationDate – Date of the observation in MM/DD/YYYY
Province/State – Province or state of the observation (Could be empty when missing)
Country/Region – Country of observation
Last Update – Time in UTC at which the row is updated for the given province or country. (Not standardised and so please clean before using it)
Confirmed – Cumulative number of confirmed cases till that date
Deaths – Cumulative number of of deaths till that date
Recovered – Cumulative number of recovered cases till that date

2019\_ncov\_data.csv

This is older file and is not being updated now. Please use the covid\_19\_data.csv file

**Added two new files with individual level information**

COVID\_open\_line\_list\_data.csv
This file is obtained from this link

COVID19\_line\_list\_data.csv
This files is obtained from this link