COVID-19 Timeseries of Confirmed, Death, and Recovered

DataHerb Metadata

DataHerb ID: csse_covid_19_time_series
DataHerb Name: COVID-19 Timeseries of Confirmed, Death, and Recovered
Contributors: CSSEGISandData
Description: COVID-19 Timeseries of Confirmed, Death, and Recovered from CSSEGI. This is a mirror of part of the repository CSSEGISandData/COVID-19
GitHub Repository: DataHerb/dataset-covid-19

DataHerb Leaves: Files in Dataset

Name: comfirmed cases in csv format
File:
Format: csv
Size: 8K

Fields

Province/State: province or state of the cases
Country/Region: country or region of the cases
Lat: latitude of the location
Long: longitude of the location
*/*: multicolumns with the format */* indicates the dates of the confirmed cases

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell.

=IMPORTDATA("https://raw.githubusercontent.com/DataHerb/dataset-covid-19/master/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv")

Load data into a Pandas DataFrame:

import pandas as pd
url = "https://raw.githubusercontent.com/DataHerb/dataset-covid-19/master/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv"
df = pd.read_csv(url)

Name: deaths in csv format
File:
Format: csv
Size: 7K

Fields

Province/State: province or state of the cases
Country/Region: country or region of the cases
Lat: latitude of the location
Long: longitude of the location
*/*: multicolumns with the format */* indicates the dates of the confirmed cases

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell.

=IMPORTDATA("https://raw.githubusercontent.com/DataHerb/dataset-covid-19/master/csse_covid_19_time_series/time_series_19-covid-Deaths.csv")

Load data into a Pandas DataFrame:

import pandas as pd
url = "https://raw.githubusercontent.com/DataHerb/dataset-covid-19/master/csse_covid_19_time_series/time_series_19-covid-Deaths.csv"
df = pd.read_csv(url)

Name: recovered in csv format
File:
Format: csv
Size: 11K

Fields

Province/State: province or state of the cases
Country/Region: country or region of the cases
Lat: latitude of the location
Long: longitude of the location
*/*: multicolumns with the format */* indicates the dates of the confirmed cases

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell.

=IMPORTDATA("https://raw.githubusercontent.com/DataHerb/dataset-covid-19/master/csse_covid_19_time_series/time_series_19-covid-Recovered.csv")

Load data into a Pandas DataFrame:

import pandas as pd
url = "https://raw.githubusercontent.com/DataHerb/dataset-covid-19/master/csse_covid_19_time_series/time_series_19-covid-Recovered.csv"
df = pd.read_csv(url)

References: