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library( package = 'dplyr' ) | |
library( package = 'ggplot2' ) | |
library( package = 'data.table' ) | |
# Column types | |
l_g_cols <- c( 'NULL' | |
, 'character' # GAME_DT | |
, rep( x = 'NULL', times = 5 ) | |
, 'character' # AWAY_TEAM_ID | |
, 'character' # HOME_TEAM_ID | |
, rep( x = 'NULL', times = 25) | |
, 'numeric' # AWAY_SCORE_CT | |
, 'numeric' # HOME_SCORE_CT | |
, rep( x = 'NULL', times = 143) | |
) | |
# Column names | |
l_g_names <- c( 'GAME_DATE','AWAY_TEAM','HOME_TEAM','AWAY_SCORE','HOME_SCORE' ) | |
# Read the 2002 season file. | |
d_games <- fread( input = '2002.csv' | |
, header = T | |
, colClasses = l_g_cols | |
, col.names = l_g_names | |
) | |
# Come with a data.frame | |
# Convert GAME_DATE to a Date variable | |
# Get the outcome of each game: Did the Athletics win or lose? | |
# Get the run difference. If Athletics won dif > 0, else dif < 0. | |
d_games <- filter( .data = d_games, HOME_TEAM == 'OAK' | AWAY_TEAM == 'OAK' ) %>% | |
mutate( GAME_DATE = as.Date( x = GAME_DATE, format = '%Y%m%d' ) | |
, OUTCOME = ifelse( test = ( HOME_TEAM == 'OAK' & HOME_SCORE > AWAY_SCORE ) | |
| ( AWAY_TEAM == 'OAK' & AWAY_SCORE > HOME_SCORE ) | |
, yes = 'WIN' | |
, no = 'LOSE' | |
) | |
, SCORE_DIFF = ifelse( test = OUTCOME == 'WIN' | |
, yes = abs( x = HOME_SCORE - AWAY_SCORE ) | |
, no = - abs( x = HOME_SCORE - AWAY_SCORE ) | |
) | |
) | |
# Create plot | |
# Fill of the bars depend on the outcome of the game. Won = Green, Lose = Red | |
# Y = Difference between the team scores. | |
g_plot <- ( ggplot( data = d_games | |
, aes( x = GAME_DATE | |
, y = SCORE_DIFF | |
, fill = OUTCOME | |
, color = OUTCOME | |
) | |
) | |
+ geom_bar( stat = 'identity' | |
, width = 0.7 | |
, alpha = 0.5 | |
) | |
+ theme( axis.ticks = element_blank() | |
, axis.text = element_blank() | |
, title = element_blank() | |
, panel.background = element_blank() | |
, legend.position = 'none' | |
) | |
+ scale_fill_manual( values = c('red2','green4') ) | |
+ scale_color_manual( values = c('red2','green4') ) | |
) |
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