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Load cleaned aupvb leaderboards data from the volleydata repository

Usage

load_aupvb_leaderboards(seasons = NULL)

Arguments

seasons

An integer or vector of integers of seasons to fetch data for. Defaults to all available seasons.

Value

Returns a data frame containing leaderboards for the specified seasons.

Column NameType
seasondbl
week_numberdbl
game_numberdbl
game_rankdbl
first_namechr
last_namechr
uniform_numberdbl
total_pointsdbl
mvp_pointsdbl
win_pointsdbl
stat_pointsdbl
first_place_mvplgl
first_place_total_pointsdbl
second_place_mvplgl
second_place_total_pointsdbl
third_place_mvplgl
third_place_total_pointsdbl
defensive_mvplgl
defensive_mvp_total_pointsdbl
set_winsdbl
set_wins_total_pointsdbl
match_windbl
match_win_total_pointsdbl
service_acesdbl
service_ace_pointsdbl
service_errorsdbl
service_error_pointsdbl
attack_killsdbl
attack_kill_pointsdbl
attack_errorsdbl
attack_error_pointsdbl
set_assistsdbl
set_assist_pointsdbl
set_errorsdbl
set_error_pointsdbl
digsdbl
dig_pointsdbl
good_receptionsdbl
good_reception_pointsdbl
reception_errorsdbl
reception_error_pointsdbl
block_assistsdbl
block_assist_pointsdbl
block_stuffsdbl
block_stuff_pointsdbl
points_behinddbl
has_extra_inning_statslgl
is_captainlgl
roster_statuschr
primary_position_position_lkchr
primary_position_descriptionchr
primary_position_short_descriptionchr
team_namechr
team_colorchr
team_seeddbl
season_iddbl
competitor_iddbl
player_iddbl
player_slugchr
uniform_number_displaydbl
overall_rankdbl
overall_rank_changedbl
total_au_pointsdbl
percent_changedbl
position_changedbl
updated_flglgl
tie_flglgl
missed_games_flglgl
previous_seqnodbl
has_game_experiencedbl

Examples

try({load_aupvb_leaderboards(2024)})
#> Rows: 2605 Columns: 70
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr (10): first_name, last_name, roster_status, primary_position_position_lk...
#> dbl (51): season, week_number, game_number, game_rank, uniform_number, total...
#> lgl  (9): first_place_mvp, second_place_mvp, third_place_mvp, defensive_mvp,...
#> 
#>  Use `spec()` to retrieve the full column specification for this data.
#>  Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 660 × 70
#>    season week_number game_number game_rank first_name last_name  uniform_number
#>     <dbl>       <dbl>       <dbl>     <dbl> <chr>      <chr>               <dbl>
#>  1   2024           1           1         1 Khat       Bell                   18
#>  2   2024           1           1         2 Marlie     Monserez               33
#>  3   2024           1           1         3 Claire     Hoffman                21
#>  4   2024           1           1         4 Dani       Drews                   1
#>  5   2024           1           1         5 Madi       Kingdon R…             19
#>  6   2024           1           1         6 Morgan     Hentz                  46
#>  7   2024           1           1         7 Jenna      Rosenthal              16
#>  8   2024           1           1         8 Karis      Watson                 48
#>  9   2024           1           1         9 Taylor     Bruns Teg…             17
#> 10   2024           1           1        10 Natalia    Valentin-…             27
#> # ℹ 650 more rows
#> # ℹ 63 more variables: total_points <dbl>, mvp_points <dbl>, win_points <dbl>,
#> #   stat_points <dbl>, first_place_mvp <lgl>, first_place_total_points <dbl>,
#> #   second_place_mvp <lgl>, second_place_total_points <dbl>,
#> #   third_place_mvp <lgl>, third_place_total_points <dbl>, defensive_mvp <lgl>,
#> #   defensive_mvp_total_points <dbl>, set_wins <dbl>,
#> #   set_wins_total_points <dbl>, match_win <dbl>, …