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SARS-COV-2/COVID-19 Cases in Europe

• [ #Health ]

DataHerb Metadata

  • DataHerb ID: covid19_eu_data
  • DataHerb Name: SARS-COV-2/COVID-19 Cases in Europe
  • Contributors: covid19-eu-zh
  • Description: SARS-COV-2/COVID-19 Cases in Europe by Country, State, and Date
  • GitHub Repository: covid19-eu-zh/covid19-eu-data

DataHerb Leaves: Files in Dataset

  • Metadata
  • Usage
  • Name: SARS-COV-2/COVID-19 Cases in Switzerland in csv format
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country (CH)
  2. nuts_2: NUTS 2 (regions) in Switzerland
  3. cases: number of cases by the specified datetime
  4. datetime: local datetime of the record

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-ch.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-ch.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in Germany in csv format
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country
  2. nuts_1: NUTS 1 (states) in Germany
  3. cases: number of cases by the specified datetime
  4. cases/100k pop.: number of cases per 100k population; DE did not track this in the beginning thus missing values are found
  5. deaths: number of deaths; DE did not track this in the beginning thus missing values
  6. datetime: local datetime of the record

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-de.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-de.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in AT in csv format
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country
  2. nuts_2: NUTS 2 administrative divisions (states) in Austria
  3. cases: number of cases by the specified datetime
  4. recovered: recovered patients. started tracking on 2020-03-13
  5. deaths: number of deaths. started tracking on 2020-03-13
  6. datetime: local datetime of the record

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-at.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-at.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in NL in csv format
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country
  2. lau: LAU (city) in Netherland
  3. cases: number of cases by the specified datetime
  4. population: population of the city
  5. cases/100k pop.: number of cases per 100k population by the specified datetime
  6. datetime: local date of the record update on the volksgezondheidenzorg website, only the date matters

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-nl.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-nl.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in England in csv format
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country
  2. nuts_3: local authorities in England, city, town, borough, etc.
  3. cases: number of cases by the specified datetime
  4. datetime: local datetime of the record update on the website

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-england.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-england.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in Scotland in csv format
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country
  2. nuts_3: local authorities in Scotland, city, town, borough, etc.
  3. cases: number of cases by the specified datetime
  4. datetime: datetime of the record update on the website

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-scotland.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-scotland.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in Wales in csv format
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country
  2. nuts_3: local authorities in Wales
  3. cases: number of cases by the specified datetime
  4. datetime: local datetime of the record update on the website

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-wales.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-wales.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in SE in csv format
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country
  2. nuts_3: NUTS 3 (counties) in Sweden
  3. cases: number of cases by the specified datetime
  4. cases/100k pop.: number of cases per 100k population by the specified datetime
  5. percent: percent of cases by the specified datetime
  6. datetime: local datetime of the record update on the website

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-se.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-se.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in FR in csv format
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country
  2. nuts_2: local provinces or oversea authorities in France, Oversea and Metropolis are also added as conditional sum
  3. cases: number of cases by the specified datetime
  4. datetime: local datetime of the record update on the website

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-fr.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-fr.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in PL in csv format
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country
  2. nuts_2: NUTS 2 (provinces) in PL or sum as the total
  3. cases: number of cases by the specified datetime
  4. deaths: number of deaths by the specified datetime
  5. datetime: local datetime of the record update on the website

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-pl.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-pl.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in CZ in csv format
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country
  2. nuts_3: NUTS 3 (regions, Kraje) in CZ
  3. cases: number of cases by the specified datetime
  4. datetime: datetime of the record update on the website

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-cz.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-cz.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases From ECDC
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country
  2. cases: number of cases by the specified datetime
  3. deaths: number of deaths by the specified datetime
  4. datetime: CET datetime of the record update on the website

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-ecdc.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-ecdc.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in IT
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country (IT)
  2. nuts_2: NUTS 2 (regions) in IT, corresponds to NUTS 2
  3. nuts_3: NUTS 3 (provinces) in IT, corresponds to NUTS 3
  4. cases: number of cases by the specified datetime
  5. datetime: local datetime of the record update on the website

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-it.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-it.csv"
df = pd.read_csv(url)
  • Name: SARS-COV-2/COVID-19 Cases in NO
  • File:
  • Format: csv
  • Size:

Fields

  1. country: alpha 2 code of the country (NO)
  2. nuts_3: NUTS 3 (counties) in Norway, corresponds to NUTS 3
  3. cases: number of cases by the specified datetime
  4. datetime: datetime of the record update on the website

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell. 
=IMPORTDATA("https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-no.csv")
Load data into a Pandas DataFrame: 
import pandas as pd
url = "https://raw.githubusercontent.com/covid19-eu-zh/covid19-eu-data/master/dataset/covid-19-no.csv"
df = pd.read_csv(url)

References:

  • DE: SARS-CoV-2: Fallzahlen in Deutschland, China und weltweit
  • AT: Neuartiges Coronavirus (COVID-19)
  • NL: volksgezondheidenzorg.info
  • England: Public Health England
  • Scotland: Coronavirus in Scotland - Scottish Government
  • Wales: Public Health Wales statement on Novel Coronavirus (COVID-19) outbreak - NHS Wales
  • PL: Serwis Rzeczypospolitej Polskiej
  • CZ: Přehled situace v ČR: COVID-19
  • ECDC: Situation update for the EU/EEA and the UK, as of 19 March 2020
  • IT: pcm-dpc/COVID-19 on GitHub
  • NO: Daily reports about coronavirus disease (COVID-19)
  • CH: daenuprobst/covid19-cases-switzerland on GitHub
  • FR: Infection au nouveau Coronavirus (SARS-CoV-2), COVID-19, France et Monde
  • SE: Antal fall av covid-19 - folkhalsomyndigheten
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