DataHerb:

COVID-19 Data by ECDC

• [ #Health ]

DataHerb Metadata

DataHerb ID: ecdc_covid_19_timeseries
DataHerb Name: COVID-19 Data by ECDC
Contributors: DataHerb
Description: A Copy of the ECDC COVID-19 dataset
GitHub Repository: DataHerb/covid-19-ecdc

DataHerb Leaves: Files in Dataset

Name: ECDC COVID-19 data in JSON format
File:
Format: json
Size: 1.9M

Fields

date: Data in string format for display purpose
authority: name of the country or territory
alpha_3: alpha 3 code of the country of the territory
alpha_2: alpha 2 code of the country or territory
population_2018: population of the country or territory in 2018
cases: number of new confirmed cases
deaths: number of new deaths

Import Data

Load data into a Pandas DataFrame:

import pandas as pd
url = "https://raw.githubusercontent.com/DataHerb/covid-19-ecdc/master/dataset/ecdc_covid19.json"
df = pd.read_json(url)

Name: ECDC COVID-19 data in CSV format
File:
Format: csv
Size: 484K

Fields

date: Data in string format for display purpose
authority: name of the country or territory
alpha_3: alpha 3 code of the country of the territory
alpha_2: alpha 2 code of the country or territory
population_2018: population of the country or territory in 2018
cases: number of new confirmed cases
deaths: number of new deaths

Preview

Import Data

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

=IMPORTDATA("https://raw.githubusercontent.com/DataHerb/covid-19-ecdc/master/dataset/ecdc_covid19.csv")

Load data into a Pandas DataFrame:

import pandas as pd
url = "https://raw.githubusercontent.com/DataHerb/covid-19-ecdc/master/dataset/ecdc_covid19.csv"
df = pd.read_csv(url)

References:

ECDC: Download today’s data on the geographic distribution of COVID-19 cases worldwide