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  "Package": "MSBStatsData",
  "Title": "Data Sets for Courses at the Münster School of Business",
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  "Description": "Provides sample data sets that are used in statistics and\ndata science courses at the Münster School of Business. The\ndatasets refer to different business topics but also other\ndomains, e.g. sports, traffic, etc.",
  "License": "GPL (>= 3)",
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  "Repository": "https://mchlbckr.r-universe.dev",
  "Date/Publication": "2026-04-13 14:45:42 UTC",
  "RemoteUrl": "https://github.com/mchlbckr/msbstatsdata",
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  "Author": "Michael Bücker [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-0045-8460>),\nNiels Schlüsener [aut]",
  "Maintainer": "Michael Bücker <michael.buecker@fh-muenster.de>",
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  "_published": "2026-05-22T08:47:06.770Z",
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  "_datasets": [
    {
      "name": "berlin_marathon",
      "title": "Berlin Marathon results from 1999 to 2019",
      "object": "berlin_marathon",
      "class": [
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        "tbl",
        "data.frame"
      ],
      "fields": [
        "year",
        "race",
        "place_overall",
        "first_name",
        "last_name",
        "nationality",
        "club",
        "gender",
        "time_full",
        "split_5k",
        "split_10k",
        "split_15k",
        "split_20k",
        "time_half",
        "split_25k",
        "split_30k",
        "split_35k",
        "split_40k"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "beverage_revenues",
      "title": "Beverage revenues",
      "object": "beverage_revenues",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "year",
        "spritzi",
        "prickli"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "bvb_rankings",
      "title": "Borussia Dortmund final rankings (1988-2022)",
      "object": "bvb_rankings",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "year",
        "ranking"
      ],
      "rows": 35,
      "table": true,
      "tojson": true
    },
    {
      "name": "car_occupation",
      "title": "Car brand by occupation (aggregated)",
      "object": "car_occupation",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "occupation",
        "audi",
        "bmw",
        "opel",
        "vw",
        "total"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "car_occupation_ind",
      "title": "Car brand by occupation (individual-level)",
      "object": "car_occupation_ind",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "occupation",
        "brand"
      ],
      "rows": 500,
      "table": true,
      "tojson": true
    },
    {
      "name": "checkout_times",
      "title": "Checkout service times",
      "object": "checkout_times",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "service_time_seconds"
      ],
      "rows": 50,
      "table": true,
      "tojson": true
    },
    {
      "name": "cinema_group_size_pmf",
      "title": "Cinema group size probability function",
      "object": "cinema_group_size_pmf",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "group_size",
        "probability"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "cinema_visitors",
      "title": "Cinema visitors over 100 days",
      "object": "cinema_visitors",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "viewers",
        "days"
      ],
      "rows": 11,
      "table": true,
      "tojson": true
    },
    {
      "name": "cinema_visitors_ind",
      "title": "Cinema visitors over 100 days (individual-level)",
      "object": "cinema_visitors_ind",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "viewers"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "cold_rents",
      "title": "Monthly cold rents",
      "object": "cold_rents",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "monthly_rent_eur"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    },
    {
      "name": "company_financials",
      "title": "Company profile sample",
      "object": "company_financials",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "company",
        "employees",
        "annual_revenue_mio_eur",
        "equity_share_pct",
        "credit_rating"
      ],
      "rows": 4,
      "table": true,
      "tojson": true
    },
    {
      "name": "computer_sales_country",
      "title": "Monthly computer sales in countries A and B",
      "object": "computer_sales_country",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "units",
        "probability_country_a",
        "probability_country_b"
      ],
      "rows": 7,
      "table": true,
      "tojson": true
    },
    {
      "name": "credit_ratings_two_reviewers",
      "title": "Credit ratings from two reviewers",
      "object": "credit_ratings_two_reviewers",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "company_id",
        "reviewer_a",
        "reviewer_b"
      ],
      "rows": 7,
      "table": true,
      "tojson": true
    },
    {
      "name": "de_elections",
      "title": "Bundestag election results by federal state",
      "object": "de_elections",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "election_year",
        "state_code",
        "state",
        "party",
        "votes",
        "vote_share"
      ],
      "rows": 377,
      "table": true,
      "tojson": true
    },
    {
      "name": "de_energy_prices",
      "title": "Monthly consumer energy price indices in Germany",
      "object": "de_energy_prices",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "date",
        "series",
        "coicop",
        "price_index_2015_100"
      ],
      "rows": 480,
      "table": true,
      "tojson": true
    },
    {
      "name": "decathlon",
      "title": "Data of competition results of decathlon for men",
      "object": "decathlon",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "race100m",
        "longjump",
        "shotput",
        "highjump",
        "race400m",
        "race110mhurdles",
        "discus",
        "polevault",
        "javelinthrow",
        "race1500m"
      ],
      "rows": 7968,
      "table": true,
      "tojson": true
    },
    {
      "name": "decathlon_3disc_covariances",
      "title": "Decathlon covariances for three discipline pairs",
      "object": "decathlon_3disc_covariances",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "pair",
        "covariance"
      ],
      "rows": 3,
      "table": true,
      "tojson": true
    },
    {
      "name": "decathlon_3disc_summary",
      "title": "Decathlon summary for three disciplines",
      "object": "decathlon_3disc_summary",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "discipline",
        "mean",
        "variance"
      ],
      "rows": 3,
      "table": true,
      "tojson": true
    },
    {
      "name": "env_survey_eu10",
      "title": "Environmental survey sample (EU, n = 10)",
      "object": "env_survey_eu10",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "age",
        "gender",
        "income_eur",
        "environmental_protection"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    },
    {
      "name": "exam_study_time",
      "title": "Exam points and study time",
      "object": "exam_study_time",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "study_days",
        "points",
        "max_points"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "florida_sentencing",
      "title": "Florida murder sentencing by defendant skin color (aggregated)",
      "object": "florida_sentencing",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "defendant_skin_color",
        "death_penalty",
        "other_sentence",
        "total"
      ],
      "rows": 3,
      "table": true,
      "tojson": true
    },
    {
      "name": "florida_sentencing_ind",
      "title": "Florida murder sentencing by defendant skin color (individual-level)",
      "object": "florida_sentencing_ind",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "defendant_skin_color",
        "sentence"
      ],
      "rows": 326,
      "table": true,
      "tojson": true
    },
    {
      "name": "gas_prices",
      "title": "Motorway gas prices",
      "object": "gas_prices",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "price_eur_per_liter"
      ],
      "rows": 10,
      "table": true,
      "tojson": true
    },
    {
      "name": "hr_data",
      "title": "HR data",
      "object": "hr_data",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "position",
        "working_hours",
        "salary",
        "hourly_wage",
        "department",
        "sick_days"
      ],
      "rows": 1200,
      "table": true,
      "tojson": true
    },
    {
      "name": "library_overdue_model",
      "title": "Library overdue model",
      "object": "library_overdue_model",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "weeks_overdue",
        "probability_expression"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "library_overdue_sample",
      "title": "Library overdue sample",
      "object": "library_overdue_sample",
      "class": [
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        "tbl",
        "data.frame"
      ],
      "fields": [
        "weeks_overdue",
        "count"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "marketing_expenses",
      "title": "Data of Marketing expenses",
      "object": "marketing_expenses",
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        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "marketing_expenses",
        "customers_reached",
        "negative_reactions",
        "price",
        "price_segment",
        "number_of_sizes",
        "target_customer",
        "rating_testers",
        "rating_customers",
        "color_most_sold",
        "return_rate",
        "sales_volume",
        "rank_rating_customers",
        "rank_price_segment"
      ],
      "rows": 235,
      "table": true,
      "tojson": true
    },
    {
      "name": "ms_bike_hourly_2025",
      "title": "Hourly bike counts in Muenster by station (2025)",
      "object": "ms_bike_hourly_2025",
      "class": [
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        "tbl",
        "data.frame"
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      "fields": [
        "station_id",
        "station_name",
        "datetime_hour",
        "bikes_total"
      ],
      "rows": 186689,
      "table": true,
      "tojson": true
    },
    {
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      "title": "Hourly citywide bike counts in Muenster (2025)",
      "object": "ms_bike_hourly_2025_city",
      "class": [
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        "data.frame"
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      "fields": [
        "datetime_hour",
        "bikes_total"
      ],
      "rows": 8531,
      "table": true,
      "tojson": true
    },
    {
      "name": "ms_bike_sites",
      "title": "Bike counting sites in Muenster",
      "object": "ms_bike_sites",
      "class": [
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        "tbl",
        "data.frame"
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      "fields": [
        "station_id",
        "station_name"
      ],
      "rows": 24,
      "table": true,
      "tojson": true
    },
    {
      "name": "nrw_population",
      "title": "Population by NRW districts",
      "object": "nrw_population",
      "class": [
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        "tbl",
        "data.frame"
      ],
      "fields": [
        "year",
        "nuts3_code",
        "district_name",
        "district_type",
        "population"
      ],
      "rows": 318,
      "table": true,
      "tojson": true
    },
    {
      "name": "order_quantities",
      "title": "Order quantities",
      "object": "order_quantities",
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        "tbl",
        "data.frame"
      ],
      "fields": [
        "order_quantity"
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      "rows": 20,
      "table": true,
      "tojson": true
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    {
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        "population_ii"
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    },
    {
      "name": "product_demand_testphases",
      "title": "Product demand test phases",
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        "tbl",
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        "product_quality",
        "demand"
      ],
      "rows": 6,
      "table": true,
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    {
      "name": "property_prices_distance",
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      "object": "property_prices_distance",
      "class": [
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        "tbl",
        "data.frame"
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      "fields": [
        "distance_km",
        "price_eur_per_m2"
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      "rows": 5,
      "table": true,
      "tojson": true
    },
    {
      "name": "rent_living_area",
      "title": "Rent and living area",
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      "class": [
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        "tbl",
        "data.frame"
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      "fields": [
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        "cold_rent_eur"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
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    {
      "name": "research_ads",
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      "object": "research_ads",
      "class": [
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        "tbl",
        "data.frame"
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      "fields": [
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        "research",
        "advertising"
      ],
      "rows": 12,
      "table": true,
      "tojson": true
    },
    {
      "name": "salary_trends",
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