tidynbadata_pbp: A sample data.frame of play-by-play data
In kburnham/tidynbadata: What the Package Does (One Line, Title Case)
tidynbadata_pbp R Documentation
A sample data.frame of play-by-play data
Description
play-by-play data of game 47899. The data are from the perspective of the home
team (NY Knicks) so that 'this' columns refer to the Knicks and 'opp'
columns to the Bucks. Note that you can get play-by-play data from the same game,
from the perspective of the Bucks with load_pbp(game_id = 47899, team = "Bucks')
Usage
tidynbadata_pbp
Format
a data.frame with 584 rows and 65 columns of play-by-play data from a
single nba game
- gs_description
a short text description of the event
- jb_wonby_team
indicates who won the jump ball. Will be NA, 'this', 'opp' or 'neither'
- jb_tippedtoplayer
id of player to whom jump ball was tipped
- jb_this_player
id of player on reference team taking the jump ball
- jb_opp_player
id of player on opponent team taking the jump ball
- gs_quarter
the integer number of the quarter or overtime period (5 is first OT)
- gs_quarter_seconds_elapsed
number of game seconds elapsed since start of this quarter
- gs_total_seconds_elapsed
number of game seconds elapsed since start of this game
- gs_this_pof_vec
a length 5 vector of players on the floor for the reference team
- gs_opp_pof_vec
a length 5 vector of players on the floor for the opposing team
- gs_this_pof_id
a hyphen separated string of player ids, sorted low to high, concatenated from gs_this_pof_vec
- gs_opp_pof_id
a hyphen separated string of player ids, sorted low to high, concatenated from gs_opp_pof_vec
- gs_seconds_until_next_event
an integer indicating how many seconds
until the occurence of the next event (row) in the data. Use this column to compute playing time
kburnham/tidynbadata documentation built on Aug. 7, 2024, 12:10 a.m.
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| tidynbadata_pbp | R Documentation |
A sample data.frame of play-by-play data
Description
play-by-play data of game 47899. The data are from the perspective of the home team (NY Knicks) so that 'this' columns refer to the Knicks and 'opp' columns to the Bucks. Note that you can get play-by-play data from the same game, from the perspective of the Bucks with load_pbp(game_id = 47899, team = "Bucks')
Usage
tidynbadata_pbp
Format
a data.frame with 584 rows and 65 columns of play-by-play data from a single nba game
- gs_description
a short text description of the event
- jb_wonby_team
indicates who won the jump ball. Will be NA, 'this', 'opp' or 'neither'
- jb_tippedtoplayer
id of player to whom jump ball was tipped
- jb_this_player
id of player on reference team taking the jump ball
- jb_opp_player
id of player on opponent team taking the jump ball
- gs_quarter
the integer number of the quarter or overtime period (5 is first OT)
- gs_quarter_seconds_elapsed
number of game seconds elapsed since start of this quarter
- gs_total_seconds_elapsed
number of game seconds elapsed since start of this game
- gs_this_pof_vec
a length 5 vector of players on the floor for the reference team
- gs_opp_pof_vec
a length 5 vector of players on the floor for the opposing team
- gs_this_pof_id
a hyphen separated string of player ids, sorted low to high, concatenated from gs_this_pof_vec
- gs_opp_pof_id
a hyphen separated string of player ids, sorted low to high, concatenated from gs_opp_pof_vec
- gs_seconds_until_next_event
an integer indicating how many seconds until the occurence of the next event (row) in the data. Use this column to compute playing time
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