Gets teams in a given district-year
Examples
district_teams("2022fit", keys = TRUE)
#> [1] "frc1164" "frc118" "frc1255" "frc1296" "frc1477" "frc148" "frc1745"
#> [8] "frc2158" "frc231" "frc2468" "frc2582" "frc2583" "frc2587" "frc2613"
#> [15] "frc2687" "frc2689" "frc2714" "frc2789" "frc2848" "frc2881" "frc2882"
#> [22] "frc2950" "frc2966" "frc2969" "frc3005" "frc3029" "frc3035" "frc3037"
#> [29] "frc3103" "frc324" "frc3282" "frc3310" "frc3355" "frc3481" "frc3545"
#> [36] "frc3561" "frc3676" "frc3679" "frc3728" "frc3735" "frc3802" "frc3834"
#> [43] "frc3847" "frc4063" "frc4153" "frc418" "frc4192" "frc4206" "frc4219"
#> [50] "frc4295" "frc4328" "frc4332" "frc4364" "frc457" "frc4587" "frc4597"
#> [57] "frc4610" "frc4639" "frc4641" "frc4717" "frc4734" "frc5052" "frc5057"
#> [64] "frc5070" "frc5103" "frc5212" "frc5242" "frc5261" "frc5411" "frc5414"
#> [71] "frc5417" "frc5427" "frc5431" "frc5503" "frc5572" "frc5613" "frc5682"
#> [78] "frc5726" "frc5829" "frc5866" "frc5892" "frc5894" "frc5908" "frc5923"
#> [85] "frc5986" "frc6155" "frc6171" "frc6180" "frc624" "frc6357" "frc6369"
#> [92] "frc6377" "frc6645" "frc6672" "frc6682" "frc6768" "frc6800" "frc6830"
#> [99] "frc6901" "frc6974" "frc7088" "frc7091" "frc7115" "frc7119" "frc7121"
#> [106] "frc7125" "frc7312" "frc7319" "frc7418" "frc7492" "frc7503" "frc7506"
#> [113] "frc7521" "frc7534" "frc7535" "frc7540" "frc7616" "frc7621" "frc7691"
#> [120] "frc7750" "frc8019" "frc8055" "frc8088" "frc8114" "frc8144" "frc8150"
#> [127] "frc8177" "frc8210" "frc8274" "frc8325" "frc8369" "frc8370" "frc8392"
#> [134] "frc8405" "frc8408" "frc8507" "frc8512" "frc8515" "frc8528" "frc8556"
#> [141] "frc8573" "frc8576" "frc8580" "frc8591" "frc8598" "frc8610" "frc8625"
#> [148] "frc8710" "frc8749" "frc8750" "frc8769" "frc8816" "frc8818" "frc8819"
#> [155] "frc8827" "frc8842" "frc8858" "frc8874" "frc8879"
district_teams("2014mar", simple = TRUE)
#> # A tibble: 110 × 7
#> city country key name nickname state_prov team_number
#> <chr> <chr> <chr> <chr> <chr> <chr> <int>
#> 1 Somerville USA frc102 Johnson & John… The Gea… New Jersey 102
#> 2 Kintnersville USA frc103 MAR VAN Indust… Cyberso… Pennsylva… 103
#> 3 Hightstown USA frc1089 Bristol Myers-… Team Me… New Jersey 1089
#> 4 Flanders USA frc11 National Defen… MORT New Jersey 11
#> 5 Clarks Summit USA frc1143 Lockheed Marti… Cruzin'… Pennsylva… 1143
#> 6 Malvern USA frc1168 CTDI/All Fill … Malvern… Pennsylva… 1168
#> 7 Philadelphia USA frc1218 Metal Edge Int… SCH Rob… Pennsylva… 1218
#> 8 Rahway USA frc1228 Astro Tool and… RoboTri… New Jersey 1228
#> 9 Scotch Plains USA frc1257 Picatinny Arse… Paralle… New Jersey 1257
#> 10 Somerville USA frc1279 Johnson & John… Cold Fu… New Jersey 1279
#> # ℹ 100 more rows
district_teams("2016mar")
#> # A tibble: 121 × 18
#> address city country gmaps_place_id gmaps_url key lat lng
#> <lgl> <chr> <chr> <lgl> <lgl> <chr> <lgl> <lgl>
#> 1 NA Somerville USA NA NA frc102 NA NA
#> 2 NA Kintnersville USA NA NA frc103 NA NA
#> 3 NA Hightstown USA NA NA frc1089 NA NA
#> 4 NA Flanders USA NA NA frc11 NA NA
#> 5 NA Clarks Summit USA NA NA frc1143 NA NA
#> 6 NA Malvern USA NA NA frc1168 NA NA
#> 7 NA Philadelphia USA NA NA frc1218 NA NA
#> 8 NA Rahway USA NA NA frc1228 NA NA
#> 9 NA Scotch Plains USA NA NA frc1257 NA NA
#> 10 NA Somerville USA NA NA frc1279 NA NA
#> # ℹ 111 more rows
#> # ℹ 10 more variables: location_name <lgl>, motto <lgl>, name <chr>,
#> # nickname <chr>, postal_code <chr>, rookie_year <int>, school_name <chr>,
#> # state_prov <chr>, team_number <int>, website <chr>