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People table - Player names, DOB, and biographical info. This file is to be used to get details about players listed in the Batting, Pitching, and other files where players are identified only by playerID.

Usage

data(People)

Format

A data frame with 24270 observations on the following 26 variables.

playerID

A unique code assigned to each player. The playerID links the data in this file with records on players in the other files.

birthYear

Year player was born

birthMonth

Month player was born

birthDay

Day player was born

birthCountry

Country where player was born

birthState

State where player was born

birthCity

City where player was born

deathYear

Year player died

deathMonth

Month player died

deathDay

Day player died

deathCountry

Country where player died

deathState

State where player died

deathCity

City where player died

nameFirst

Player's first name

nameLast

Player's last name

% \item{\code{nameNote}}{Note about player's name (usually signifying that they changed % their name or played under two differnt names)}
nameGiven

Player's given name (typically first and middle)

% \item{\code{nameNick}}{Player's nickname}
weight

Player's weight in pounds

height

Player's height in inches

bats

a factor: Player's batting hand (left (L), right (R), or both (B))

throws

a factor: Player's throwing hand (left(L) or right(R))

debut

Date that player made first major league appearance

finalGame

Date that player made first major league appearance (blank if still active)

retroID

ID used by retrosheet, https://www.retrosheet.org/

bbrefID

ID used by Baseball Reference website, https://www.baseball-reference.com/

birthDate

Player's birthdate, in as.Date format

deathDate

Player's deathdate, in as.Date format

Details

debut, finalGame were converted from character strings with as.Date.

Source

Lahman, S. (2026) Lahman's Baseball Database, 1871-2025, 2026 version, https://sabr.org/lahman-database/

Examples

data(People); data(Batting)

## add player's name to Batting data
People$name <- paste(People$nameFirst, People$nameLast, sep=" ")
batting <- merge(Batting, 
                 People[,c("playerID","name")], 
                 by="playerID", all.x=TRUE)

## batting and throwing
# right-handed batters are much less ambidexterous in throwing than left-handed batters
# (should only include batters)

BT <- with(People, table(bats, throws))
require(vcd)
structable(BT)
#>      throws     B     L     R     S
#> bats                               
#> B               3   197  1155     0
#> L               1  3371  2564     1
#> R               1   657 13320     0
mosaic(BT, shade=TRUE)


## Who is Shoeless Joe Jackson?
subset(People, nameLast=="Jackson" & nameFirst=="Joe")
#>  [1] playerID     birthYear    birthMonth   birthDay     birthCity   
#>  [6] birthCountry birthState   deathYear    deathMonth   deathDay    
#> [11] deathCountry deathState   deathCity    nameFirst    nameLast    
#> [16] nameGiven    weight       height       bats         throws      
#> [21] debut        bbrefID      finalGame    retroID      deathDate   
#> [26] birthDate    name        
#> <0 rows> (or 0-length row.names)
subset(People, nameLast=="Jackson" & nameFirst=="Shoeless Joe")
#>        playerID birthYear birthMonth birthDay      birthCity birthCountry
#> 10547 jacksjo01      1887          7       16 Pickens County          USA
#>       birthState deathYear deathMonth deathDay deathCountry deathState
#> 10547         SC      1951         12        5          USA         SC
#>        deathCity    nameFirst nameLast     nameGiven weight height bats throws
#> 10547 Greenville Shoeless Joe  Jackson Joseph Walker    200     73    L      R
#>            debut   bbrefID  finalGame  retroID  deathDate  birthDate
#> 10547 1908-08-25 jacksjo01 1920-09-27 jackj101 1951-12-05 1887-07-16
#>                       name
#> 10547 Shoeless Joe Jackson

joeID <-c(subset(People, nameLast=="Jackson" & nameFirst=="Shoeless Joe")["playerID"])

subset(Batting, playerID==joeID)
#>        playerID yearID stint teamID lgID   G  AB   R   H X2B X3B HR RBI SB CS
#> 56069 jacksjo01   1908     1    PHA   AL   5  23   0   3   0   0  0   3  0 NA
#> 56070 jacksjo01   1909     1    PHA   AL   5  17   3   3   0   0  0   3  0 NA
#> 56071 jacksjo01   1910     1    CLE   AL  20  75  15  29   2   5  1  11  4 NA
#> 56072 jacksjo01   1911     1    CLE   AL 147 571 126 233  45  19  7  83 41 NA
#> 56073 jacksjo01   1912     1    CLE   AL 154 572 121 226  44  26  3  90 35 20
#> 56074 jacksjo01   1913     1    CLE   AL 148 528 109 197  39  17  7  71 26 NA
#> 56075 jacksjo01   1914     1    CLE   AL 122 453  61 153  22  13  3  53 22 15
#> 56076 jacksjo01   1915     1    CLE   AL  83 303  42  99  16   9  3  45 10 10
#> 56077 jacksjo01   1915     2    CHA   AL  45 158  21  43   4   5  2  36  6 10
#> 56078 jacksjo01   1916     1    CHA   AL 155 592  91 202  40  21  3  78 24 14
#> 56079 jacksjo01   1917     1    CHA   AL 146 538  91 162  20  17  5  75 13 NA
#> 56080 jacksjo01   1918     1    CHA   AL  17  65   9  23   2   2  1  20  3 NA
#> 56081 jacksjo01   1919     1    CHA   AL 139 516  79 181  31  14  7  96  9 NA
#> 56082 jacksjo01   1920     1    CHA   AL 146 570 105 218  42  20 12 121  9 12
#>       BB SO IBB HBP SH SF GIDP
#> 56069  0  3  NA   0  0 NA   NA
#> 56070  1  3  NA   0  0 NA   NA
#> 56071  8  8  NA   0  3 NA   NA
#> 56072 56 42  NA   8  6 NA   NA
#> 56073 54 19  NA  12 15 NA   NA
#> 56074 80 26  NA   5 10 NA   NA
#> 56075 41 34  NA   5 13 NA   NA
#> 56076 28 11  NA   3  3 NA   NA
#> 56077 24 12  NA   3  8 NA   NA
#> 56078 46 25  NA   5 16 NA   NA
#> 56079 57 25  NA   7 19 NA   NA
#> 56080  8  1  NA   0  5 NA   NA
#> 56081 60 10  NA   4 17 NA   NA
#> 56082 56 14  NA   7 16 NA   NA
subset(Fielding, playerID==joeID)
#>        playerID yearID stint teamID lgID POS   G GS InnOuts  PO  A  E DP PB WP
#> 76507 jacksjo01   1908     1    PHA   AL  OF   5  5     132   6  1  1  0 NA NA
#> 76508 jacksjo01   1909     1    PHA   AL  OF   4  4     108  10  0  2  0 NA NA
#> 76509 jacksjo01   1910     1    CLE   AL  OF  20 20     522  40  2  1  1 NA NA
#> 76510 jacksjo01   1911     1    CLE   AL  OF 147 NA      NA 242 32 12  8 NA NA
#> 76511 jacksjo01   1912     1    CLE   AL  OF 150 NA      NA 273 30 16  2 NA NA
#> 76512 jacksjo01   1913     1    CLE   AL  OF 148 NA      NA 211 28 18  5 NA NA
#> 76513 jacksjo01   1914     1    CLE   AL  OF 119 NA      NA 195 13  7  4 NA NA
#> 76514 jacksjo01   1915     1    CLE   AL  1B  30 NA      NA 284 15  7 12 NA NA
#> 76515 jacksjo01   1915     1    CLE   AL  OF  50 NA      NA  68  6  3  0 NA NA
#> 76516 jacksjo01   1915     2    CHA   AL  OF  45 NA      NA  84  6  5  1 NA NA
#> 76517 jacksjo01   1916     1    CHA   AL  OF 155 NA      NA 290 17  8  5 NA NA
#> 76518 jacksjo01   1917     1    CHA   AL  OF 145 NA      NA 341 18  6  4 NA NA
#> 76519 jacksjo01   1918     1    CHA   AL  OF  17 NA      NA  36  1  0  0 NA NA
#> 76520 jacksjo01   1919     1    CHA   AL  OF 139 NA      NA 252 15  9  4 NA NA
#> 76521 jacksjo01   1920     1    CHA   AL  OF 145 NA      NA 314 14 12  2 NA NA
#>       SB CS ZR
#> 76507 NA NA NA
#> 76508 NA NA NA
#> 76509 NA NA NA
#> 76510 NA NA NA
#> 76511 NA NA NA
#> 76512 NA NA NA
#> 76513 NA NA NA
#> 76514 NA NA NA
#> 76515 NA NA NA
#> 76516 NA NA NA
#> 76517 NA NA NA
#> 76518 NA NA NA
#> 76519 NA NA NA
#> 76520 NA NA NA
#> 76521 NA NA NA