Load cleaned mlv events log data from the volleydata repository.

Usage

load_mlv_events_log(seasons = NULL)

Arguments

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

Value

A data frame containing the events log data for the specified seasons.

Column Name	Type
match_id	int
season	int
match_datetime	string
set	int
set_start_time	string
set_end_time	string
set_duration	int
set_final_home_score	int
set_final_away_score	int
event_type	string
event_time	string
libero_enters	bool
team_involved	string
libero_jersey_number	int
libero_substitute_jersey_number	int
rally_start_time	string
rally_end_time	string
rally_point_winner	string
substitute_in_jersey_number	int
substitute_out_jersey_number	int
challenge_approved	string
challenge_reason	string
challenge_method	string
challenge_response	string
challenge_at_home_score	float
challenge_at_away_score	float
challenge_score_change	string
serving_team	string
current_home_score	float
current_away_score	float
home_team_p1	float
home_team_p2	float
home_team_p3	float
home_team_p4	float
home_team_p5	float
home_team_p6	float
away_team_p1	float
away_team_p2	float
away_team_p3	float
away_team_p4	float
away_team_p5	float
away_team_p6	float
verified_time	string
verified_method	string
sanction_type	string
sanction_remark	float
sanction_staff_role	string
staff_first_name	string
staff_last_name	string
staff_type	string
is_exceptional	string

Examples

try({load_mlv_events_log(2024)})
#> Warning: One or more parsing issues, call `problems()` on your data frame for details,
#> e.g.:
#>   dat <- vroom(...)
#>   problems(dat)
#> Rows: 25558 Columns: 51
#> ── Column specification ────────────────────────────────────────────────────────
#> Delimiter: ","
#> chr   (7): event_type, team_involved, rally_point_winner, challenge_reason, ...
#> dbl  (12): match_id, season, set, set_duration, set_final_home_score, set_fi...
#> lgl  (26): libero_enters, challenge_approved, serving_team, current_home_sco...
#> dttm  (6): match_datetime, set_start_time, set_end_time, event_time, rally_s...
#> 
#> ℹ Use `spec()` to retrieve the full column specification for this data.
#> ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#> # A tibble: 25,558 × 51
#>    match_id season match_datetime        set set_start_time     
#>       <dbl>  <dbl> <dttm>              <dbl> <dttm>             
#>  1  2125267   2024 2024-01-25 01:00:00     1 2024-01-25 01:00:00
#>  2  2125267   2024 2024-01-25 01:00:00     1 2024-01-25 01:00:00
#>  3  2125267   2024 2024-01-25 01:00:00     1 2024-01-25 01:00:00
#>  4  2125267   2024 2024-01-25 01:00:00     1 2024-01-25 01:00:00
#>  5  2125267   2024 2024-01-25 01:00:00     1 2024-01-25 01:00:00
#>  6  2125267   2024 2024-01-25 01:00:00     1 2024-01-25 01:00:00
#>  7  2125267   2024 2024-01-25 01:00:00     1 2024-01-25 01:00:00
#>  8  2125267   2024 2024-01-25 01:00:00     1 2024-01-25 01:00:00
#>  9  2125267   2024 2024-01-25 01:00:00     1 2024-01-25 01:00:00
#> 10  2125267   2024 2024-01-25 01:00:00     1 2024-01-25 01:00:00
#> # ℹ 25,548 more rows
#> # ℹ 46 more variables: set_end_time <dttm>, set_duration <dbl>,
#> #   set_final_home_score <dbl>, set_final_away_score <dbl>, event_type <chr>,
#> #   event_time <dttm>, libero_enters <lgl>, team_involved <chr>,
#> #   libero_jersey_number <dbl>, libero_substitute_jersey_number <dbl>,
#> #   rally_start_time <dttm>, rally_end_time <dttm>, rally_point_winner <chr>,
#> #   substitute_in_jersey_number <dbl>, substitute_out_jersey_number <dbl>, …