See data-raw/generate-data.Rmd
for details on how this was created.
Examples
od_data_sample
#> # A tibble: 64 × 18
#> geo_code1 geo_code2 all from_home light_rail train bus taxi motorbike
#> <chr> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 E02002361 E02002361 109 0 0 0 4 2 0
#> 2 E02002361 E02002363 38 0 0 1 4 1 0
#> 3 E02002361 E02002367 10 0 0 0 1 0 0
#> 4 E02002361 E02002371 44 0 0 0 2 2 0
#> 5 E02002361 E02002377 34 0 0 0 0 1 2
#> 6 E02002361 E02002382 7 0 0 0 1 0 0
#> 7 E02002361 E02002384 53 0 0 1 10 1 0
#> 8 E02002361 E02002393 94 0 0 0 17 1 0
#> 9 E02002363 E02002361 30 0 0 0 0 1 1
#> 10 E02002363 E02002363 183 0 0 2 13 3 0
#> # ℹ 54 more rows
#> # ℹ 9 more variables: car_driver <dbl>, car_passenger <dbl>, bicycle <dbl>,
#> # foot <dbl>, other <dbl>, geo_name1 <chr>, geo_name2 <chr>, la_1 <chr>,
#> # la_2 <chr>