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.
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")
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.
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