Reads district rankings
Usage
district_rankings(district_key, detail = c("none", "separate", "breakdown"))Details
"none" - return the JSON data embedded as a list in a column "separate" - separate out the individual events, but no further "breakdown" - separate the individual events, and also break down their points results.
Examples
district_rankings("2016mar", detail = "breakdown")
#> # A tibble: 121 × 26
#> rank team_key event_1_qual_points event_1_elim_points event_1_alliance_poi…¹
#> <int> <chr> <int> <int> <int>
#> 1 1 frc225 21 30 16
#> 2 2 frc341 19 10 16
#> 3 3 frc25 22 10 16
#> 4 4 frc3314 15 10 13
#> 5 5 frc5895 16 0 12
#> 6 6 frc1257 16 30 10
#> 7 7 frc2590 12 30 13
#> 8 8 frc1218 19 30 13
#> 9 9 frc708 16 0 14
#> 10 10 frc1089 19 10 13
#> # ℹ 111 more rows
#> # ℹ abbreviated name: ¹event_1_alliance_points
#> # ℹ 21 more variables: event_1_award_points <int>, event_1_total <int>,
#> # event_1_event_key <chr>, event_1_district_cmp <lgl>,
#> # event_2_qual_points <int>, event_2_elim_points <int>,
#> # event_2_alliance_points <int>, event_2_award_points <int>,
#> # event_2_total <int>, event_2_event_key <chr>, event_2_district_cmp <lgl>, …
district_rankings("2022fit")
#> # A tibble: 159 × 7
#> rank team_key event rookie_bonus adjustments point_total other_bonus
#> <int> <chr> <list> <int> <int> <int> <int>
#> 1 1 frc6800 <list [4]> 0 0 395 0
#> 2 2 frc148 <list [4]> 0 0 376 0
#> 3 3 frc3847 <list [3]> 0 0 353 0
#> 4 4 frc624 <list [3]> 0 0 336 0
#> 5 5 frc3310 <list [3]> 0 0 334 0
#> 6 6 frc4206 <list [3]> 0 0 316 0
#> 7 7 frc2468 <list [4]> 0 0 312 0
#> 8 8 frc3005 <list [3]> 0 0 299 0
#> 9 9 frc5414 <list [4]> 0 0 264 0
#> 10 10 frc8177 <list [3]> 5 0 252 0
#> # ℹ 149 more rows