Example Data

Note

The provided example data sets come as functions returning a list. You need to include the parentheses to get the data, like:

>>> from effectus.data import bells
>>> sum(bells())/1000
7257.7446

effectus comes with example data sets from real life.

effectus.data.bells()

Weights of 9,605 church bells in kg of the German archbishoprics of Cologne, Aachen and Essen.

Source: expert-HOFFMANN GmbH, Köln, 2016.

effectus.data.boxoffice()

Boxoffice revenue of 4,189 movies in US Dollars.

Source: OMDb.

effectus.data.cheese()

Cheese production per country in tonnes, 2014.

Source: Food and Agriculture Organization of the United Nations (FAO), Dec 8, 2016.

effectus.data.co2()

Carbon dioxide emissions in million tonnes per country, 2015.

Source: BP Statistical Review of World Energy, June 2016.

effectus.data.countries_area()

Area of 257 countries in square kilometres.

Source: Central Intelligence Agency: The World Factbook, Country Comparison, Area, 2016.

effectus.data.countries_population()

Population of 238 countries.

Source: Central Intelligence Agency: The World Factbook, Country Comparison, Population, July 2016 estimate.

effectus.data.euro_banknotes()

Nominal value of Euro bank notes in circulation in million Euro as per December 2016.

Source: European Central Bank: Banknotes and coins circulation, 2017.

effectus.data.euro_coins()

Nominal value of Euro coins in circulation in million Euro as per December 2016.

Source: European Central Bank: Banknotes and coins circulation, 2017.

effectus.data.exoplanets()

Mass and radius for 630 exoplanets.

Source: Exoplanet Team, February 2017.

effectus.data.flight_delays()

Departure delays in minutes of 434,354 flights in the United States in November 2016.

Source: Bureau of Transportation Statistics, TranStats, 2017.

effectus.data.forest_fires()

Size of 51,674 Canadian Forest Fires (1959-2015) in ha.

Source: Canadian National Fire Database, 2017.

effectus.data.french_rail_passengers()

French railway passenger frequency of 3,034 stations in 2015.

Source: SNCF, February 2017.

effectus.data.gdp()

Gross domestic product in billion U.S. dollars per country, 2014 (partly staff estimates; without Syria.)

Source: International Monetary Fund: World Economic Outlook Database , October 2016.

effectus.data.german_highways()

Lengths of 393 German federal highways (Bundesstraßen) in km.

Source: Bundesanstalt für Straßenwesen, 2016.

effectus.data.german_motorways()

Lengths of 120 German federal motorways (Autobahnen) in km.

Source: Bundesanstalt für Straßenwesen, 2016.

effectus.data.german_rivers()

Lengths of 267 longest German rivers in km.

Source: Wikipedia, 2016.

effectus.data.hopei_rain()

Daily precipitation in mm on Hohenpeißenberg, Germany (the world’s oldest mountain weather station) from 1781 to 2015.

Source: German Meteorological Office, 2016.

effectus.data.hopei_sun()

Daily sun hours on Hohenpeißenberg, Germany (the world’s oldest mountain weather station) from 1937 to 2015.

Source: German Meteorological Office, 2016.

effectus.data.indian_trains_passing()

Number of Indian trains passing through 2,961 of 4,756 stations.

Source: Cleartrip, May 2017.

effectus.data.jre_rail_passengers()

Japanese Eastern Railways passenger frequency of 860 stations in 2015.

Source: JREast, 2016.

effectus.data.lakes_level_1()

Volume in cubic kilometres and surface in square kilometres of 519 lakes and reservoirs.

Subset from Level 1.

Level 1 (GLWD-1) comprises the 3,067 largest lakes (area ≥ 50 km2) and 654 largest reservoirs (storage capacity ≥ 0.5 km3) worldwide, and includes extensive attribute data.

Source: World Wildlife Fund, July 1st, 2004.

effectus.data.lakes_surface()

Surface in square kilometres of 248,613 lakes and reservoirs.

This set combines GLWD-1 and GLWD-2 data sets.

Level 1 (GLWD-1) comprises the 3,067 largest lakes (area ≥ 50 km2) and 654 largest reservoirs (storage capacity ≥ 0.5 km3) worldwide, and includes extensive attribute data.

Level 2 (GLWD-2) comprises permanent open water bodies with a surface area ≥ 0.1 km2 excluding the water bodies contained in GLWD-1. The approximately 250,000 polygons of GLWD-2 are attributed as lakes, reservoirs and rivers.

Source: World Wildlife Fund, July 1st, 2004.

effectus.data.letters()

Number of letter-post items, domestic service of 135 countries in 2010.

Source: Universal Postal Union: Postal statistics, 2017.

effectus.data.meteorites()

Masses of 46,038 meteorites found on earth.

Source: Meteoritical Bulletin Database, 2017.

effectus.data.missing_teeth()

Number of missing teeth of 966 young German adults (35 to 44 years).

Source: Institute of German Dentists, Cologne: Fifth German Oral Health Study (DMS V), ISBN 978-3-7691-0020-4.

effectus.data.oil_consumption()

Daily Oil consumption in thousand barrels per country, 2015.

Source: BP Statistical Review of World Energy, June 2016.

effectus.data.oil_reserves()

Proved reserves of oil in million barrels per country, end of 2015.

Source: BP Statistical Review of World Energy, June 2016.

effectus.data.sp500()

Daily positive returns of S&P500 index from 1960 through 2015.

Negative returns have been replaced with zero.

Source: Yahoo Finance, 2016.

effectus.data.stars()

Masses and radii of 211 stars within 75 light years distance in suns.

Source: Internet Stellar Database, 2017.

effectus.data.stars_masses()

Masses of 168 stars within 75 light years distance in suns.

Source: Internet Stellar Database, 2017.

effectus.data.stars_surfaces()

Surfaces of 1,112 stars within 75 light years distance in suns.

Source: Internet Stellar Database, 2017.

effectus.data.swiss_public_transport_delays()

Delays of 14 million stops in minutes from April 4th trough May 2nd, 2017 in the Swiss public transport system.

Source: SBB, May 2017.

effectus.data.swiss_rail_passengers()

Swiss railway passenger frequency of 724 stations in 2014.

Source: SBB, March 2016.

effectus.data.titanic_fares()

Fares of 891 passengers of the Titanic.

Source: Xiamen Chen, November 2014.

effectus.data.tree_vol()

Volume in cubic metres of 536,752 German trees in 2012.

Source: Thünen-Institute, Third National Forest Inventory, 2016.

effectus.data.us_bee_colonies()

Number of bee colonies per state in the United States as per January 1st, 2015.

Source: United States Department of Agriculture, May 12th, 2016.

effectus.data.us_bridges()

Length of 614,387 bridges in the United States of America in metres.

Source: Federal Highway Administration, 2016.

effectus.data.us_honey_production()

Honey production in 1,000 pounds per state in the United States in 2014.

Source: United States Department of Agriculture March 22nd, 2016.

effectus.data.us_power_plants()

Electric capacity in Megawatts of 7,610 US power plants.

Source: Energy Information Administration, December 2016.

effectus.data.wkzs()

Area designated for wind power usage in ha in 315 of 396 municipalities of North Rhine Westphalia, Germany 2012-2016. The remaining municipalities do not have designated any area for wind power usage.

Source: State Office for Nature, Environment and Consumer
Affairs of North-Rhine Westphalia (LANUV) based on data of planning regions; municipalities mentioned below, 2016. The data may not be complete for some parts. Data state for planning regions Münster, Arnsberg und Köln: July 2015, Detmold: June 2015. RVR: Late 2014, Düsseldorf: January 2011. Municipalities Anröchte, Drensteinfurt, Drolshagen, Eslohe (Sauerland), Hemer, Kaarst, Lippstadt, Mettmann, Metelen, Warendorf, Wickede (Ruhr), Wülfrath: 2016.
effectus.data.women_intercourse()

Number of vaginal sex partners of 11,110 women.

Source: Jakob Pastötter, Nicolas Drey, Anthony Pryce: Sex Study 2008 - Sexual Behaviour in Germany. DGSS and City University London.