MSBStatsData

MSBStatsData provides curated teaching datasets for statistics and data science courses at the Münster School of Business at FH Münster.

The package is designed for reproducible exercises and solutions in R, with data that works well across core topics like frequencies, location and dispersion measures, association, regression, and introductory time series analysis.

Installation

install.packages("MSBStatsData")

# development version
# install.packages("pak")
# # pak::pak("mchlbckr/MSBStatsData")
install.packages("MSBStatsData", repos = c('https://mchlbckr.r-universe.dev', 'https://cloud.r-project.org'))

Quick start

library(MSBStatsData)

data("cinema_visitors")
head(cinema_visitors)

data("de_energy_prices")
subset(
  de_energy_prices,
  series %in% c("electricity", "transport_fuels")
)[1:6, c("date", "series", "price_index_2015_100")]

Selected datasets

• Core teaching data

  • cinema_visitors
  • bvb_rankings
  • berlin_marathon
  • website_dwell
  • checkout_times
  • research_ads
  • env_survey_eu10

• Contingency-table data (aggregated + individual)

  • union_satisfaction
  • union_satisfaction_ind
  • sport_occupation
  • sport_occupation_ind
  • florida_sentencing
  • florida_sentencing_ind
  • tv_gender
  • tv_gender_ind
  • car_occupation
  • car_occupation_ind

• Münster mobility data

  • ms_bike_sites
  • ms_bike_hourly_2025
  • ms_bike_hourly_2025_city

• Public statistics snapshots (Germany/NRW)

  • nrw_population
  • de_elections
  • de_energy_prices

Listing all datasets

data(package = "MSBStatsData")

Notes

• Most data objects are small and classroom-friendly.
• Where helpful, both aggregated and individual-level versions are provided.
• Data sources are documented in the respective dataset help pages (?dataset_name).
• Third-party source and license notices for bundled external data are included in inst/THIRD_PARTY_LICENSES.
• GitHub releases may be ahead of the current CRAN version.