modeldatatoo contains more data sets used in documentation and testing for tidymodels packages. The package also contains a suite of simulation functions for classification and regression data. This is extension to the modeldata package.
Installation
You can install the released version of modeldatatoo from CRAN with:
install.packages("modeldatatoo")You can install the development version of modeldatatoo from GitHub with:
# install.packages("pak")
pak::pak("tidymodels/modeldatatoo")Example
All the data sets in this package can be accessed by functions which are prefixed with data_, and you call them like functions
library(modeldatatoo)
data_elevators()
#> # A tibble: 35,042 × 25
#> device_number bin tax_block tax_lot house_number street_name zip_code
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 1D10028 1024795 1021 26 1614 BROADWAY 10019
#> 2 1D10094 1041822 1392 25 53 E 77TH ST 10021
#> 3 1D10097 1038223 1323 1 201 E 49 ST 10017
#> 4 1D10146 1080443 1274 6 40 CENTRAL PARK S… <NA>
#> 5 1D10200 1085777 1074 24 651 TENTH AVENUE <NA>
#> 6 1D10301 1002075 181 16 179 FRANKLIN STREET 10013
#> 7 1D10302 1010518 606 4 121 WEST 10 STREET 10011
#> 8 1D10303 1085955 1329 1 915 3 AVENUE 10022
#> 9 1D10304 1044058 1430 5 220 E. 76 ST 10021
#> 10 1D10305 1087468 1951 4 133 MORNINGSIDE AV… <NA>
#> # ℹ 35,032 more rows
#> # ℹ 18 more variables: borough <fct>, device_type <chr>,
#> # lastper_insp_date <date>, approval_date <date>, manufacturer <chr>,
#> # travel_distance <chr>, speed_fpm <dbl>, capacity_lbs <dbl>,
#> # car_buffer_type <chr>, governor_type <chr>, machine_type <chr>,
#> # safety_type <chr>, mode_operation <chr>, floor_from <chr>, floor_to <chr>,
#> # latitude <dbl>, longitude <dbl>, elevators_per_building <int>The pins package is used under the hood to read, download, and cache the data.