File Name: NHL Data.csv 
File Type: CSV (comma-separated values) spreadsheet initially created in and exported from Excel in Microsoft Office Professional Plus 2016
Description: This dataset consists of National Hockey League (NHL) player data for the 2018-2019 season that were collected from espn.com and nhl.com. If information, such as a player’s race, was not available, we supplemented the data using pictorial, birthplace, and surname evidence from other sites depicting the player (Google, Wikipedia etc.) The information includes players’ names, race, age, height, weight, date of birth, and birthplace/nationality. The performance information includes years played, penalty minutes across career and in the 2018-2019 season, on-ice position, and leadership positions held during the 2018-2019 season. There is also an indicator of the team for which the player worked during the 2018-2019 season.
The content of the data set are as follows. Each row is a different case, in these data a different NHL player. Each bullet point represents a new column; variables are listed below in the same order as they are represented in columns in the data file:
* caseid: A unique identifying number for each player (1-791)
* namefirst: The player’s first name
* namelast: the player’s last name
* penaltyminutescareer: total penalty minutes across career (0 - 1600)
* penaltyminutes2019season: total penalty minutes in 2018-2019 season (0 - 30)
* pimyr: total penalty minutes across career divided by number of years played (1 – 134.3)
* team: String data listing name of player’s team
* teamcode: numeric identifier unique to each NHL team (1-31)
* race: String data indicating player’s race (white, black, Asian or Pacific Islander, Native American or First Nations, Suomi, Latino)
* racecode: recode of “race” into numeric data where 0=white, 1=black, 2= Asian or Pacific Islander, 3=Native American or First Nations, 4=Suomi, 5=Latino 
* age: Player’s age in years (18 – 42)
* height: Height in feet and inches (e.g. 5’8”)
* heightincm: Height in centimeters (168-211) 
* weight: Weight in pounds (150-295)
* dobd: Birth Day (e.g. 24 for the 24th day of the month)
* dobm: Birth Month (e.g. 10 for October)
* doby: Birth Year (e.g. 1990)
* birthplace: City or town where player was born
* stateprovince: State (US) or Province (Canada) in which player was born; missing for all players born outside North America
* nationality: String data with country players was born (e.g. Canada or Finland)
* birthplace: recode of “nationality” into numeric data representing larger regions, where 0=Anglophone Canada, 1=United States, 2=Western Europe, 3=Asia, 4=Russia/former Soviet Union, 5=Francophone Canada
* position: String data for position (g = goalie; d = defence; lw = left wing; c = center; rw = right wing)
* positioncode: recode of “position” into numeric data, where goalie = 0, defence = 1, left wing = 2, centre = 3, and right wing = 4 
* captaincode: Leadership identifier code, where 0 = none, 1 = captain, and 2 = assistant captain
* Quebec: identifies Quebec as player’s birthplace; 1=born in Quebec, 0=not born in Quebec 
* Yeardrafted: Year player was drafted by NHL team
* Yearsplayed: Total years played across career; value is 1 for rookies

File Name: NHL Executives.csv
File Type: CSV (comma-separated values) spreadsheet initially created in and exported from Excel in Microsoft Office Professional Plus 2016
Description: This dataset consists of National Hockey League (NHL) head coach and general manager data for the 2018-2019 season that were collected from official team websites accessed through the NHL’s website (e.g. https://www.nhl.com/senators for the Ottawa Senators). We assigned the executive’s ethnicity using birthplace, pictorial evidence, surname, etc. The information includes an ID for each executive, a variable indicating whether they were the head coach or the general manager, a categorical variable indicating ethnicity, and the team for which they worked during this season. In situations (two) where an executive was fired or otherwise replaced during the season, we used the coach or general manager who was employed by the team at the end of the season. 
The content of the data set are as follows: Each row is a different case, in these data a different NHL executive. Each bullet point below represents a new column; variables are listed below in the same order as they are represented in columns in the data file:
* ID: A unique identifying number for each executive (1-62)
* position: A variable that indicates whether the executive was the general manager or the head coach of the team (1 = general manager; 2 = head coach)
* ethnicity: numeric code indicator of executive’s ethnicity (1=Anglophone Canadian; 2= American/United States birth; 3=Francophone Canadian; 4=European)
* team: a team code for the executives (1-31)