DataHerb
Flora Add Data Articles
Ecosystem
Python Package
Community
Telegram
About

DataHerb:

EU Geography

• [ #Geo ]

DataHerb Metadata

  • DataHerb ID: european_geography_shapes
  • DataHerb Name: EU Geography
  • Contributors: Datumorphism
  • Description: Convinient Geography data for EU
  • GitHub Repository: datumorphism/dataset-eu-geography-shapes

DataHerb Leaves: Files in Dataset

  • Metadata
  • Usage
  • Name: Geocenter of NUTS 3 in Italy in CSV Format
  • File:
  • Format: csv
  • Size: 459

Fields

  1. country: Alpha2 code of the country, DE
  2. nuts_2: NUTS 2: regions in Italy
  3. nuts_3: NUTS 3: provinces in Italy
  4. nuts_3_abbr: abbreviations of provinces in Italy
  5. latitude: latitude of the center of the province (NUTS 3)
  6. longitude: longitude of the center of the province (NUTS 3)

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell.
=IMPORTDATA("https://raw.githubusercontent.com/datumorphism/dataset-eu-geography-shapes/master/dataset/it/centers/it_nuts_3.csv")
Load data into a Pandas DataFrame:
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-geography-shapes/master/dataset/it/centers/it_nuts_3.csv"
df = pd.read_csv(url)
  • Name: Geocenter of States in Germany in CSV Format
  • File:
  • Format: csv
  • Size: 459

Fields

  1. country: Alpha2 code of the country, DE
  2. state: name of the German state
  3. latitude: latitude of the center of the state
  4. longitude: longitude of the center of the state

Preview

Import Data

Copy the following code and paste into a Google Spreadsheet cell.
=IMPORTDATA("https://raw.githubusercontent.com/datumorphism/dataset-eu-geography-shapes/master/dataset/de/centers/de_states.csv")
Load data into a Pandas DataFrame:
import pandas as pd
url = "https://raw.githubusercontent.com/datumorphism/dataset-eu-geography-shapes/master/dataset/de/centers/de_states.csv"
df = pd.read_csv(url)
  • Name: Very High Resolution Geojson of Germany
  • File:
  • Format: geojson
  • Size: 3.5M

Fields

Import Data

  • Name: High Resolution Geojson of Germany
  • File:
  • Format: geojson
  • Size: 682K

Fields

Import Data

  • Name: Medium High Resolution Geojson of Germany
  • File:
  • Format: geojson
  • Size: 114K

Fields

Import Data

  • Name: Low Resolution Geojson of Germany
  • File:
  • Format: geojson
  • Size: 22K

Fields

Import Data

  • Name: Very High Resolution Geojson of States in Germany
  • File:
  • Format: geojson
  • Size: 4.2M

Fields

Import Data

  • Name: High Resolution Geojson of States in Germany
  • File:
  • Format: geojson
  • Size: 1.3M

Fields

Import Data

  • Name: Medium High Resolution Geojson of States in Germany
  • File:
  • Format: geojson
  • Size: 376K

Fields

Import Data

  • Name: Low Resolution Geojson of States in Germany
  • File:
  • Format: geojson
  • Size: 99K

Fields

Import Data

  • Name: Very High Resolution Geojson of Governmental Districts in Germany
  • File:
  • Format: geojson
  • Size: 4.8M

Fields

Import Data

  • Name: High Resolution Geojson of Governmental Districts in Germany
  • File:
  • Format: geojson
  • Size: 1.9M

Fields

Import Data

  • Name: Medium High Resolution Geojson of Governmental Districts in Germany
  • File:
  • Format: geojson
  • Size: 609K

Fields

Import Data

  • Name: Low Resolution Geojson of Governmental Districts in Germany
  • File:
  • Format: geojson
  • Size: 325K

Fields

Import Data

  • Name: Very High Resolution Geojson of Districts in Germany
  • File:
  • Format: geojson
  • Size: 7.7M

Fields

Import Data

  • Name: High Resolution Geojson of Districts in Germany
  • File:
  • Format: geojson
  • Size: 4.8M

Fields

Import Data

  • Name: Medium High Resolution Geojson of Districts in Germany
  • File:
  • Format: geojson
  • Size: 1.8M

Fields

Import Data

  • Name: Low Resolution Geojson of Districts in Germany
  • File:
  • Format: geojson
  • Size: 1.1M

Fields

Import Data

References:

  • Regierungsbezirk of Germany @ Wikipedia
  • Districts of Germany @ Wikipedia
explorer@dataherb: ~
The DataHerb Terminal — Type help.
➜ ~

The DataHerb Index by DataHerb.