Reads events in a given district
Examples
district_events("2016mar")
#> # A tibble: 8 × 30
#> address city country district division_keys end_date event_code
#> <chr> <chr> <chr> <list> <lgl> <chr> <chr>
#> 1 124 Goodman Dr S… Beth… USA <named list> NA 2016-04… mrcmp
#> 2 600 Garretson Rd… Brid… USA <named list> NA 2016-04… njbri
#> 3 18 Corey Rd, Fla… Moun… USA <named list> NA 2016-03… njfla
#> 4 1016 Co Rd 601, … Mont… USA <named list> NA 2016-04… njski
#> 5 110 Carranza Rd,… Tabe… USA <named list> NA 2016-03… njtab
#> 6 899 Horsham Rd, … Hors… USA <named list> NA 2016-03… pahat
#> 7 500 W Willow Gro… Phil… USA <named list> NA 2016-03… paphi
#> 8 975 Westtown Rd,… West… USA <named list> NA 2016-04… pawch
#> # ℹ 23 more variables: event_type <int>, event_type_string <chr>,
#> # first_event_code <chr>, first_event_id <chr>, gmaps_place_id <chr>,
#> # gmaps_url <chr>, key <chr>, lat <dbl>, lng <dbl>, location_name <chr>,
#> # name <chr>, parent_event_key <lgl>, playoff_type <lgl>,
#> # playoff_type_string <lgl>, postal_code <chr>, short_name <chr>,
#> # start_date <chr>, state_prov <chr>, timezone <chr>, webcasts <list>,
#> # website <chr>, week <int>, year <int>
district_events("2018fma", keys = TRUE)
#> NULL