rock
populate the datasets/ directory with real 2004 patriots data.
all examples stub out or read from these files -- they need to ship.
files to create
datasets/roster_2004.csv -- 53-man roster: name, number, position, years_with_patriots
datasets/game_log_2004.csv -- week, opponent, location, pts_for, pts_against, result
datasets/receiving_stats_2004.csv -- name, receptions, targets, yards, tds, yards_per_rec
datasets/rushing_stats_2004.csv -- name, attempts, yards, tds, yards_per_attempt
datasets/brady_by_game_2004.csv -- week, opponent, comp, att, yards, tds, ints, rating
source
use publicly available nfl box score data. add attribution comment row in each file.
same data source as the python sister repo datasets/ where possible.
why this matters
without real data, the file_io, regex, concurrency, and iterators examples
are incomplete. datasets ship before those modules do.
rock
populate the
datasets/directory with real 2004 patriots data.all examples stub out or read from these files -- they need to ship.
files to create
datasets/roster_2004.csv-- 53-man roster: name, number, position, years_with_patriotsdatasets/game_log_2004.csv-- week, opponent, location, pts_for, pts_against, resultdatasets/receiving_stats_2004.csv-- name, receptions, targets, yards, tds, yards_per_recdatasets/rushing_stats_2004.csv-- name, attempts, yards, tds, yards_per_attemptdatasets/brady_by_game_2004.csv-- week, opponent, comp, att, yards, tds, ints, ratingsource
use publicly available nfl box score data. add attribution comment row in each file.
same data source as the python sister repo datasets/ where possible.
why this matters
without real data, the file_io, regex, concurrency, and iterators examples
are incomplete. datasets ship before those modules do.