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urbstatdata is a data-only R package that distributes
seven documented data sets from transport, traffic safety, urban
planning, construction and architectural engineering. It exports no
functions and has no runtime package dependencies.
Install the development version from GitHub with:
install.packages("remotes")
remotes::install_github("mariocools/urbstatdata")After acceptance on CRAN, the package can be installed with:
install.packages("urbstatdata")| Object | Rows | Columns | Subject |
|---|---|---|---|
taipei_housing |
414 | 8 | Real-estate valuation in New Taipei City |
building_energy |
768 | 10 | Simulated residential heating and cooling loads |
concrete_strength |
1,030 | 9 | Concrete composition and compressive strength |
seoul_bikes |
8,760 | 14 | Hourly bicycle-rental demand in Seoul |
be_accidents |
82,876 | 45 | Grouped Belgian road-accident victim counts |
be_building_stock |
144 | 10 | Belgian cadastral building-stock counts |
room_occupancy |
10,129 | 20 | Room sensors and observed occupancy |
The objects are lazy-loaded and can be accessed directly:
library(urbstatdata)
head(taipei_housing)
summary(room_occupancy$occupancy_count)Use the corresponding help page for definitions, provenance and limitations:
?taipei_housing
?be_accidentsThe five international data sets originate from the UCI Machine
Learning Repository. The two Belgian data sets originate from Statbel,
with the road accident data jointly attributed to the Belgian Federal
Police. The source licence is CC BY 4.0 for each distributed data set.
Full attribution and the changes made to each source are recorded in
inst/COPYRIGHTS,
inst/licenses/source-attributions.md, and the seven help
pages.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.