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app.R
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# Ashwin Sundar
# NBA Points Distribution By Era
# April 8 2017
# Took me a few weekends to figure this out - the key for me was to use plotly instead of ggplot2. Please feel free to email me at [email protected] - I will be glad to help you in any way I can!
#
# Goal - This (https://github.com/zonination/football-hmap) for NBA
# Steps
# Make a single csv containing every game in history. EVery site has the following URL format:
# http://basketball-reference.com/leagues/NBA_[Year]_games-[month].html
# e.g. http://www.basketball-reference.com/leagues/NBA_1999_games-february.html
# They are all HTML tables, so just go get them all.
# UI
# Tab 1: 1949-2017
# Tab 2: 2010-2017
# Tab 3: 2000-2009
# etc.
# this guy did it for NFL
# https://github.com/zonination/football-hmap
# Here's how I did it:
# getNBAGames() # I wrote an R script that gets all the NBA games and stores them in .RData files. Preferable to .csv because I can load and directly manipulate them pretty fast
require(shiny)
require(plotly) # a better plotting library
staticWidth <- "200px"
staticHeight <- staticWidth
rawDataDir <- "C:/Users/Ashwin/Dropbox/Side Projects/NBAScores/VIsualizing-NBA-Pace/rawdata"
# Define UI for application that draws a histogram
ui <- navbarPage(
title = paste("NBA Points Distribution By Era"),
windowTitle = "NBA Points Distribution",
# tabPanel("2016 Scatter", plotlyOutput("testPlot")),
# tabPanel("2016 2D Histogram", plotlyOutput("testPlot2")),
# tabPanel("2016 2D Histogram Contour", plotlyOutput("testPlot3")),
tabPanel("2010 - 2016", plotlyOutput("h2Dc2010present")),
tabPanel("2000 - 2009", plotlyOutput("h2Dc20002009")),
tabPanel("1990 - 1999", plotlyOutput("h2Dc19901999")),
tabPanel("1980 - 1989", plotlyOutput("h2Dc19801989")),
tabPanel("1970 - 1979", plotlyOutput("h2Dc19701979")),
tabPanel("1960 - 1969", plotlyOutput("h2Dc19601969")),
tabPanel("1950 - 1959", plotlyOutput("h2Dc19501959")),
tabPanel("1947 - 1949", plotlyOutput("h2Dc19471949")),
tabPanel("All Time", plotlyOutput("h2DcAllTime")),
tabPanel("About", uiOutput("About"))
)
# Define server logic required to draw a histogram
server <- function(input, output) {
output$testPlot <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
NBA_2016 <- readRDS(file = "NBA_2016.RData")
# Step 1.5: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
NBA_2016$schedule.PTS <- as.numeric(as.character(NBA_2016$schedule.PTS))
NBA_2016$schedule.PTS.1 <- as.numeric(as.character(NBA_2016$schedule.PTS.1))
# Step 2: Jitter it
# NBA_2016$schedule.HomePointsJittered <- jitter(NBA_2016$schedule.PTS)
# NBA_2016$schedule.AwayPointsJittered <- jitter(NBA_2016$schedule.PTS.1)
# pointsData <- cbind.data.frame(NBA_2016$schedule.HomePointsJittered, NBA_2016$schedule.AwayPointsJittered)
pointsData <- cbind.data.frame(NBA_2016$schedule.PTS, NBA_2016$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
plot_ly(data = pointsData,
# x = ~NBA_2016$schedule.HomePointsJittered,
# y = ~NBA_2016$schedule.AwayPointsJittered,
x = ~NBA_2016$schedule.PTS,
y = ~NBA_2016$schedule.PTS.1,
type = "scatter",
mode = "markers",
width = staticWidth,
height = staticHeight,
alpha = 0.2
) %>% layout(xaxis = list(title = "Home Points",
c(40,190)),
yaxis = list(title = "Away Points",
c(40, 190)),
scene = list(aspectmode = "data",
aspectratio = list(x = 1,
y = 1))
)
})
output$testPlot2 <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
NBA_2016 <- readRDS(file = "NBA_2016.RData")
# Step 1.5: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
NBA_2016$schedule.PTS <- as.numeric(as.character(NBA_2016$schedule.PTS))
NBA_2016$schedule.PTS.1 <- as.numeric(as.character(NBA_2016$schedule.PTS.1))
# Step 2: Jitter it
# NBA_2016$schedule.HomePointsJittered <- jitter(NBA_2016$schedule.PTS)
# NBA_2016$schedule.AwayPointsJittered <- jitter(NBA_2016$schedule.PTS.1)
# pointsData <- cbind.data.frame(NBA_2016$schedule.HomePointsJittered, NBA_2016$schedule.AwayPointsJittered)
pointsData <- cbind.data.frame(NBA_2016$schedule.PTS, NBA_2016$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
plot_ly(data = pointsData,
# x = ~NBA_2016$schedule.HomePointsJittered,
# y = ~NBA_2016$schedule.AwayPointsJittered,
x = ~NBA_2016$schedule.PTS,
y = ~NBA_2016$schedule.PTS.1,
type = "histogram2d",
mode = "markers",
alpha = 1,
width = staticWidth,
height = staticHeight,
xbins = list(start = 40, end = 190, size = 1),
ybins = list(start = 40, end = 190, size = 1)
) %>% layout(xaxis = list(title = "Home Points",
c(40,190)),
yaxis = list(title = "Away Points",
c(40, 190))
)
})
output$testPlot3 <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
NBA_2016 <- readRDS(file = "NBA_2016.RData")
# Step 1.5: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
NBA_2016$schedule.PTS <- as.numeric(as.character(NBA_2016$schedule.PTS))
NBA_2016$schedule.PTS.1 <- as.numeric(as.character(NBA_2016$schedule.PTS.1))
# Step 2: Jitter it
# NBA_2016$schedule.HomePointsJittered <- jitter(NBA_2016$schedule.PTS)
# NBA_2016$schedule.AwayPointsJittered <- jitter(NBA_2016$schedule.PTS.1)
# pointsData <- cbind.data.frame(NBA_2016$schedule.HomePointsJittered, NBA_2016$schedule.AwayPointsJittered)
pointsData <- cbind.data.frame(NBA_2016$schedule.PTS, NBA_2016$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
plot_ly(data = pointsData,
# x = ~NBA_2016$schedule.HomePointsJittered,
# y = ~NBA_2016$schedule.AwayPointsJittered,
x = ~NBA_2016$schedule.PTS,
y = ~NBA_2016$schedule.PTS.1,
type = "histogram2dcontour",
mode = "markers",
width = staticWidth,
height = staticHeight,
alpha = 1,
xbins = list(start = 40, end = 190, size = 1),
ybins = list(start = 40, end = 190, size = 1)
) %>% layout(xaxis = list(title = "Home Points",
c(40,190)),
yaxis = list(title = "Away Points",
c(40, 190))
)
})
output$h2Dc19471949 <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
BAA_1948 <- readRDS(file = "BAA_1948.RData")
BAA_1949 <- readRDS(file = "BAA_1949.RData")
gamesList <- list(BAA_1948, BAA_1949)
# Do a full stack merge
games <- list()
withProgress(message = "Loading data...", value = 0, {
for(each in 1:length(gamesList)) {
games <- merge(games, gamesList[each], all = TRUE)
incProgress(amount = 1/length(gamesList))
print(1/length(gamesList))
}
})
# Step 2: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
games$schedule.PTS <- as.numeric(as.character(games$schedule.PTS))
games$schedule.PTS.1 <- as.numeric(as.character(games$schedule.PTS.1))
pointsData <- cbind.data.frame(games$schedule.PTS, games$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
numGamesPlayed <- nrow(pointsData)
plot_ly(data = pointsData,
x = ~games$schedule.PTS,
y = ~games$schedule.PTS.1,
type = "histogram2dcontour",
alpha = 1,
width = staticWidth,
height = staticHeight,
hoverinfo = "none",
ncontours = 10,
colorbar = list(title = paste("(Out of ", numGamesPlayed, " total games)")),
xbins = list(start = 40, end = 190, size = 5),
ybins = list(start = 40, end = 190, size = 5)
) %>% layout(xaxis = list(title = "Home Points",
c(40,190),
nticks = 16),
yaxis = list(title = "Away Points",
c(40, 190),
nticks = 16),
legend = list()
)
})
output$h2Dc19501959 <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
NBA_1950 <- readRDS(file = "NBA_1950.RData")
NBA_1951 <- readRDS(file = "NBA_1951.RData")
NBA_1952 <- readRDS(file = "NBA_1952.RData")
NBA_1953 <- readRDS(file = "NBA_1953.RData")
NBA_1954 <- readRDS(file = "NBA_1954.RData")
NBA_1955 <- readRDS(file = "NBA_1955.RData")
NBA_1956 <- readRDS(file = "NBA_1956.RData")
NBA_1957 <- readRDS(file = "NBA_1957.RData")
NBA_1958 <- readRDS(file = "NBA_1958.RData")
NBA_1959 <- readRDS(file = "NBA_1959.RData")
gamesList <- list(NBA_1950,
NBA_1951,
NBA_1952,
NBA_1953,
NBA_1954,
NBA_1955,
NBA_1956,
NBA_1957,
NBA_1958,
NBA_1959)
# Do a full stack merge
games <- list()
withProgress(message = "Loading data...", value = 0, {
for(each in 1:length(gamesList)) {
games <- merge(games, gamesList[each], all = TRUE)
incProgress(amount = 1/length(gamesList))
}
})
# Step 2: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
games$schedule.PTS <- as.numeric(as.character(games$schedule.PTS))
games$schedule.PTS.1 <- as.numeric(as.character(games$schedule.PTS.1))
pointsData <- cbind.data.frame(games$schedule.PTS, games$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
numGamesPlayed <- nrow(pointsData)
plot_ly(data = pointsData,
x = ~games$schedule.PTS,
y = ~games$schedule.PTS.1,
type = "histogram2dcontour",
alpha = 1,
width = staticWidth,
height = staticHeight,
hoverinfo = "none",
ncontours = 10,
colorbar = list(title = paste("(Out of ", numGamesPlayed, " total games)")),
xbins = list(start = 40, end = 190, size = 5),
ybins = list(start = 40, end = 190, size = 5)
) %>% layout(xaxis = list(title = "Home Points",
c(40,190),
nticks = 16),
yaxis = list(title = "Away Points",
c(40, 190),
nticks = 16)
)
})
output$h2Dc19601969 <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
NBA_1960 <- readRDS(file = "NBA_1960.RData")
NBA_1961 <- readRDS(file = "NBA_1961.RData")
NBA_1962 <- readRDS(file = "NBA_1962.RData")
NBA_1963 <- readRDS(file = "NBA_1963.RData")
NBA_1964 <- readRDS(file = "NBA_1964.RData")
NBA_1965 <- readRDS(file = "NBA_1965.RData")
NBA_1966 <- readRDS(file = "NBA_1966.RData")
NBA_1967 <- readRDS(file = "NBA_1967.RData")
NBA_1968 <- readRDS(file = "NBA_1968.RData")
ABA_1968 <- readRDS(file = "ABA_1968.RData")
NBA_1969 <- readRDS(file = "NBA_1969.RData")
ABA_1969 <- readRDS(file = "ABA_1969.RData")
gamesList <- list(NBA_1960,
NBA_1961,
NBA_1962,
NBA_1963,
NBA_1964,
NBA_1965,
NBA_1966,
NBA_1967,
NBA_1968,
ABA_1968,
NBA_1969,
ABA_1969)
# Do a full stack merge
games <- list()
withProgress(message = "Loading data...", value = 0, {
for(each in 1:length(gamesList)) {
games <- merge(games, gamesList[each], all = TRUE)
incProgress(amount = 1/length(gamesList))
}
})
# Step 2: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
games$schedule.PTS <- as.numeric(as.character(games$schedule.PTS))
games$schedule.PTS.1 <- as.numeric(as.character(games$schedule.PTS.1))
pointsData <- cbind.data.frame(games$schedule.PTS, games$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
numGamesPlayed <- nrow(pointsData)
plot_ly(data = pointsData,
x = ~games$schedule.PTS,
y = ~games$schedule.PTS.1,
type = "histogram2dcontour",
alpha = 1,
width = staticWidth,
height = staticHeight,
hoverinfo = "none",
ncontours = 10,
colorbar = list(title = paste("(Out of ", numGamesPlayed, " total games)")),
xbins = list(start = 40, end = 190, size = 5),
ybins = list(start = 40, end = 190, size = 5)
) %>% layout(xaxis = list(title = "Home Points",
c(40,190),
nticks = 16),
yaxis = list(title = "Away Points",
c(40, 190),
nticks = 16)
)
})
output$h2Dc19701979 <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
NBA_1970 <- readRDS(file = "NBA_1970.RData")
ABA_1970 <- readRDS(file = "ABA_1970.RData")
NBA_1971 <- readRDS(file = "NBA_1971.RData")
ABA_1971 <- readRDS(file = "ABA_1971.RData")
NBA_1972 <- readRDS(file = "NBA_1972.RData")
ABA_1972 <- readRDS(file = "ABA_1972.RData")
NBA_1973 <- readRDS(file = "NBA_1973.RData")
ABA_1973 <- readRDS(file = "ABA_1973.RData")
NBA_1974 <- readRDS(file = "NBA_1974.RData")
ABA_1974 <- readRDS(file = "ABA_1974.RData")
NBA_1975 <- readRDS(file = "NBA_1975.RData")
ABA_1975 <- readRDS(file = "ABA_1975.RData")
NBA_1976 <- readRDS(file = "NBA_1976.RData")
ABA_1976 <- readRDS(file = "ABA_1976.RData")
NBA_1977 <- readRDS(file = "NBA_1977.RData")
NBA_1978 <- readRDS(file = "NBA_1978.RData")
NBA_1979 <- readRDS(file = "NBA_1979.RData")
gamesList <- list(NBA_1970,
ABA_1970,
NBA_1971,
ABA_1971,
NBA_1972,
ABA_1972,
NBA_1973,
ABA_1973,
NBA_1974,
ABA_1974,
NBA_1975,
ABA_1975,
NBA_1976,
ABA_1976,
NBA_1977,
NBA_1978,
NBA_1979)
# Do a full stack merge
games <- list()
withProgress(message = "Loading data...", value = 0, {
for(each in 1:length(gamesList)) {
games <- merge(games, gamesList[each], all = TRUE)
incProgress(amount = 1/length(gamesList))
}
})
# Step 2: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
games$schedule.PTS <- as.numeric(as.character(games$schedule.PTS))
games$schedule.PTS.1 <- as.numeric(as.character(games$schedule.PTS.1))
pointsData <- cbind.data.frame(games$schedule.PTS, games$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
numGamesPlayed <- nrow(pointsData)
plot_ly(data = pointsData,
x = ~games$schedule.PTS,
y = ~games$schedule.PTS.1,
type = "histogram2dcontour",
alpha = 1,
width = staticWidth,
height = staticHeight,
hoverinfo = "none",
ncontours = 10,
colorbar = list(title = paste("(Out of ", numGamesPlayed, " total games)")),
xbins = list(start = 40, end = 190, size = 5),
ybins = list(start = 40, end = 190, size = 5)
) %>% layout(xaxis = list(title = "Home Points",
c(40,190),
nticks = 16),
yaxis = list(title = "Away Points",
c(40, 190),
nticks = 16)
)
})
output$h2Dc19801989 <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
NBA_1980 <- readRDS(file = "NBA_1980.RData")
NBA_1981 <- readRDS(file = "NBA_1981.RData")
NBA_1982 <- readRDS(file = "NBA_1982.RData")
NBA_1983 <- readRDS(file = "NBA_1983.RData")
NBA_1984 <- readRDS(file = "NBA_1984.RData")
NBA_1985 <- readRDS(file = "NBA_1985.RData")
NBA_1986 <- readRDS(file = "NBA_1986.RData")
NBA_1987 <- readRDS(file = "NBA_1987.RData")
NBA_1988 <- readRDS(file = "NBA_1988.RData")
NBA_1989 <- readRDS(file = "NBA_1989.RData")
gamesList <- list(NBA_1980,
NBA_1981,
NBA_1982,
NBA_1983,
NBA_1984,
NBA_1985,
NBA_1986,
NBA_1987,
NBA_1988,
NBA_1989)
# Do a full stack merge
games <- list()
withProgress(message = "Loading data...", value = 0, {
for(each in 1:length(gamesList)) {
games <- merge(games, gamesList[each], all = TRUE)
incProgress(amount = 1/length(gamesList))
}
})
# Step 2: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
games$schedule.PTS <- as.numeric(as.character(games$schedule.PTS))
games$schedule.PTS.1 <- as.numeric(as.character(games$schedule.PTS.1))
pointsData <- cbind.data.frame(games$schedule.PTS, games$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
numGamesPlayed <- nrow(pointsData)
plot_ly(data = pointsData,
x = ~games$schedule.PTS,
y = ~games$schedule.PTS.1,
type = "histogram2dcontour",
alpha = 1,
width = staticWidth,
height = staticHeight,
hoverinfo = "none",
ncontours = 10,
colorbar = list(title = paste("(Out of ", numGamesPlayed, " total games)")),
xbins = list(start = 40, end = 190, size = 5),
ybins = list(start = 40, end = 190, size = 5)
) %>% layout(xaxis = list(title = "Home Points",
c(40,190),
nticks = 16),
yaxis = list(title = "Away Points",
c(40, 190),
nticks = 16)
)
})
output$h2Dc19901999 <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
NBA_1990 <- readRDS(file = "NBA_1990.RData")
NBA_1991 <- readRDS(file = "NBA_1991.RData")
NBA_1992 <- readRDS(file = "NBA_1992.RData")
NBA_1993 <- readRDS(file = "NBA_1993.RData")
NBA_1994 <- readRDS(file = "NBA_1994.RData")
NBA_1995 <- readRDS(file = "NBA_1995.RData")
NBA_1996 <- readRDS(file = "NBA_1996.RData")
NBA_1997 <- readRDS(file = "NBA_1997.RData")
NBA_1998 <- readRDS(file = "NBA_1998.RData")
NBA_1999 <- readRDS(file = "NBA_1999.RData")
gamesList <- list(NBA_1990,
NBA_1991,
NBA_1992,
NBA_1993,
NBA_1994,
NBA_1995,
NBA_1996,
NBA_1997,
NBA_1998,
NBA_1999)
# Do a full stack merge
games <- list()
withProgress(message = "Loading data...", value = 0, {
for(each in 1:length(gamesList)) {
games <- merge(games, gamesList[each], all = TRUE)
incProgress(amount = 1/length(gamesList))
}
})
# Step 2: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
games$schedule.PTS <- as.numeric(as.character(games$schedule.PTS))
games$schedule.PTS.1 <- as.numeric(as.character(games$schedule.PTS.1))
pointsData <- cbind.data.frame(games$schedule.PTS, games$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
numGamesPlayed <- nrow(pointsData)
plot_ly(data = pointsData,
x = ~games$schedule.PTS,
y = ~games$schedule.PTS.1,
type = "histogram2dcontour",
alpha = 1,
width = staticWidth,
height = staticHeight,
hoverinfo = "none",
ncontours = 10,
colorbar = list(title = paste("(Out of ", numGamesPlayed, " total games)")),
xbins = list(start = 40, end = 190, size = 5),
ybins = list(start = 40, end = 190, size = 5)
) %>% layout(xaxis = list(title = "Home Points",
c(40,190),
nticks = 16),
yaxis = list(title = "Away Points",
c(40, 190),
nticks = 16)
)
})
output$h2Dc20002009 <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
NBA_2000 <- readRDS(file = "NBA_2000.RData")
NBA_2001 <- readRDS(file = "NBA_2001.RData")
NBA_2002 <- readRDS(file = "NBA_2002.RData")
NBA_2003 <- readRDS(file = "NBA_2003.RData")
NBA_2004 <- readRDS(file = "NBA_2004.RData")
NBA_2005 <- readRDS(file = "NBA_2005.RData")
NBA_2006 <- readRDS(file = "NBA_2006.RData")
NBA_2007 <- readRDS(file = "NBA_2007.RData")
NBA_2008 <- readRDS(file = "NBA_2008.RData")
NBA_2009 <- readRDS(file = "NBA_2009.RData")
gamesList <- list(NBA_2000,
NBA_2001,
NBA_2002,
NBA_2003,
NBA_2004,
NBA_2005,
NBA_2006,
NBA_2007,
NBA_2008,
NBA_2009)
# Do a full stack merge
games <- list()
withProgress(message = "Loading data...", value = 0, {
for(each in 1:length(gamesList)) {
games <- merge(games, gamesList[each], all = TRUE)
incProgress(amount = 1/length(gamesList))
}
})
# Step 2: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
games$schedule.PTS <- as.numeric(as.character(games$schedule.PTS))
games$schedule.PTS.1 <- as.numeric(as.character(games$schedule.PTS.1))
pointsData <- cbind.data.frame(games$schedule.PTS, games$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
numGamesPlayed <- nrow(pointsData)
plot_ly(data = pointsData,
x = ~games$schedule.PTS,
y = ~games$schedule.PTS.1,
type = "histogram2dcontour",
alpha = 1,
width = staticWidth,
height = staticHeight,
hoverinfo = "none",
ncontours = 10,
colorbar = list(title = paste("(Out of ", numGamesPlayed, " total games)")),
xbins = list(start = 40, end = 190, size = 5),
ybins = list(start = 40, end = 190, size = 5)
) %>% layout(xaxis = list(title = "Home Points",
c(40,190),
nticks = 16),
yaxis = list(title = "Away Points",
c(40, 190),
nticks = 16)
)
})
output$h2Dc2010present <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
NBA_2010 <- readRDS(file = "NBA_2010.RData")
NBA_2011 <- readRDS(file = "NBA_2011.RData")
NBA_2012 <- readRDS(file = "NBA_2012.RData")
NBA_2013 <- readRDS(file = "NBA_2013.RData")
NBA_2014 <- readRDS(file = "NBA_2014.RData")
NBA_2015 <- readRDS(file = "NBA_2015.RData")
NBA_2016 <- readRDS(file = "NBA_2016.RData")
gamesList <- list(NBA_2010,
NBA_2011,
NBA_2012,
NBA_2013,
NBA_2014,
NBA_2015,
NBA_2016)
# Do a full stack merge
games <- list()
withProgress(message = "Loading data...", value = 0, {
for(each in 1:length(gamesList)) {
games <- merge(games, gamesList[each], all = TRUE)
incProgress(amount = 1/length(gamesList))
}
})
# Step 2: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
games$schedule.PTS <- as.numeric(as.character(games$schedule.PTS))
games$schedule.PTS.1 <- as.numeric(as.character(games$schedule.PTS.1))
pointsData <- cbind.data.frame(games$schedule.PTS, games$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
numGamesPlayed <- nrow(pointsData)
plot_ly(data = pointsData,
x = ~games$schedule.PTS,
y = ~games$schedule.PTS.1,
type = "histogram2dcontour",
alpha = 1,
width = staticWidth,
height = staticHeight,
hoverinfo = "none",
ncontours = 10,
colorbar = list(title = paste("(Out of ", numGamesPlayed, " total games)")),
xbins = list(start = 40, end = 190, size = 5),
ybins = list(start = 40, end = 190, size = 5)
) %>% layout(xaxis = list(title = "Home Points",
c(40,190),
nticks = 16),
yaxis = list(title = "Away Points",
c(40, 190),
nticks = 16)
)
})
output$h2DcAllTime <- renderPlotly({
# Step 1: Get the games
setwd(rawDataDir)
BAA_1948 <- readRDS(file = "BAA_1948.RData")
BAA_1949 <- readRDS(file = "BAA_1949.RData")
NBA_1950 <- readRDS(file = "NBA_1950.RData")
NBA_1951 <- readRDS(file = "NBA_1951.RData")
NBA_1952 <- readRDS(file = "NBA_1952.RData")
NBA_1953 <- readRDS(file = "NBA_1953.RData")
NBA_1954 <- readRDS(file = "NBA_1954.RData")
NBA_1955 <- readRDS(file = "NBA_1955.RData")
NBA_1956 <- readRDS(file = "NBA_1956.RData")
NBA_1957 <- readRDS(file = "NBA_1957.RData")
NBA_1958 <- readRDS(file = "NBA_1958.RData")
NBA_1959 <- readRDS(file = "NBA_1959.RData")
NBA_1960 <- readRDS(file = "NBA_1960.RData")
NBA_1961 <- readRDS(file = "NBA_1961.RData")
NBA_1962 <- readRDS(file = "NBA_1962.RData")
NBA_1963 <- readRDS(file = "NBA_1963.RData")
NBA_1964 <- readRDS(file = "NBA_1964.RData")
NBA_1965 <- readRDS(file = "NBA_1965.RData")
NBA_1966 <- readRDS(file = "NBA_1966.RData")
NBA_1967 <- readRDS(file = "NBA_1967.RData")
NBA_1968 <- readRDS(file = "NBA_1968.RData")
ABA_1968 <- readRDS(file = "ABA_1968.RData")
NBA_1969 <- readRDS(file = "NBA_1969.RData")
ABA_1969 <- readRDS(file = "ABA_1969.RData")
NBA_1970 <- readRDS(file = "NBA_1970.RData")
ABA_1970 <- readRDS(file = "ABA_1970.RData")
NBA_1971 <- readRDS(file = "NBA_1971.RData")
ABA_1971 <- readRDS(file = "ABA_1971.RData")
NBA_1972 <- readRDS(file = "NBA_1972.RData")
ABA_1972 <- readRDS(file = "ABA_1972.RData")
NBA_1973 <- readRDS(file = "NBA_1973.RData")
ABA_1973 <- readRDS(file = "ABA_1973.RData")
NBA_1974 <- readRDS(file = "NBA_1974.RData")
ABA_1974 <- readRDS(file = "ABA_1974.RData")
NBA_1975 <- readRDS(file = "NBA_1975.RData")
ABA_1975 <- readRDS(file = "ABA_1975.RData")
NBA_1976 <- readRDS(file = "NBA_1976.RData")
ABA_1976 <- readRDS(file = "ABA_1976.RData")
NBA_1977 <- readRDS(file = "NBA_1977.RData")
NBA_1978 <- readRDS(file = "NBA_1978.RData")
NBA_1979 <- readRDS(file = "NBA_1979.RData")
NBA_1980 <- readRDS(file = "NBA_1980.RData")
NBA_1981 <- readRDS(file = "NBA_1981.RData")
NBA_1982 <- readRDS(file = "NBA_1982.RData")
NBA_1983 <- readRDS(file = "NBA_1983.RData")
NBA_1984 <- readRDS(file = "NBA_1984.RData")
NBA_1985 <- readRDS(file = "NBA_1985.RData")
NBA_1986 <- readRDS(file = "NBA_1986.RData")
NBA_1987 <- readRDS(file = "NBA_1987.RData")
NBA_1988 <- readRDS(file = "NBA_1988.RData")
NBA_1989 <- readRDS(file = "NBA_1989.RData")
NBA_1990 <- readRDS(file = "NBA_1990.RData")
NBA_1991 <- readRDS(file = "NBA_1991.RData")
NBA_1992 <- readRDS(file = "NBA_1992.RData")
NBA_1993 <- readRDS(file = "NBA_1993.RData")
NBA_1994 <- readRDS(file = "NBA_1994.RData")
NBA_1995 <- readRDS(file = "NBA_1995.RData")
NBA_1996 <- readRDS(file = "NBA_1996.RData")
NBA_1997 <- readRDS(file = "NBA_1997.RData")
NBA_1998 <- readRDS(file = "NBA_1998.RData")
NBA_1999 <- readRDS(file = "NBA_1999.RData")
NBA_2000 <- readRDS(file = "NBA_2000.RData")
NBA_2001 <- readRDS(file = "NBA_2001.RData")
NBA_2002 <- readRDS(file = "NBA_2002.RData")
NBA_2003 <- readRDS(file = "NBA_2003.RData")
NBA_2004 <- readRDS(file = "NBA_2004.RData")
NBA_2005 <- readRDS(file = "NBA_2005.RData")
NBA_2006 <- readRDS(file = "NBA_2006.RData")
NBA_2007 <- readRDS(file = "NBA_2007.RData")
NBA_2008 <- readRDS(file = "NBA_2008.RData")
NBA_2009 <- readRDS(file = "NBA_2009.RData")
NBA_2010 <- readRDS(file = "NBA_2010.RData")
NBA_2011 <- readRDS(file = "NBA_2011.RData")
NBA_2012 <- readRDS(file = "NBA_2012.RData")
NBA_2013 <- readRDS(file = "NBA_2013.RData")
NBA_2014 <- readRDS(file = "NBA_2014.RData")
NBA_2015 <- readRDS(file = "NBA_2015.RData")
NBA_2016 <- readRDS(file = "NBA_2016.RData")
gamesList <- list(BAA_1948,
BAA_1949,
NBA_1950,
NBA_1951,
NBA_1952,
NBA_1953,
NBA_1954,
NBA_1955,
NBA_1956,
NBA_1957,
NBA_1958,
NBA_1959,
NBA_1960,
NBA_1961,
NBA_1962,
NBA_1963,
NBA_1964,
NBA_1965,
NBA_1966,
NBA_1967,
NBA_1968,
ABA_1968,
NBA_1969,
ABA_1969,
NBA_1970,
ABA_1970,
NBA_1971,
ABA_1971,
NBA_1972,
ABA_1972,
NBA_1973,
ABA_1973,
NBA_1974,
ABA_1974,
NBA_1975,
ABA_1975,
NBA_1976,
ABA_1976,
NBA_1977,
NBA_1978,
NBA_1979,
NBA_1980,
NBA_1981,
NBA_1982,
NBA_1983,
NBA_1984,
NBA_1985,
NBA_1986,
NBA_1987,
NBA_1988,
NBA_1989,
NBA_1990,
NBA_1991,
NBA_1992,
NBA_1993,
NBA_1994,
NBA_1995,
NBA_1996,
NBA_1997,
NBA_1998,
NBA_1999,
NBA_2000,
NBA_2001,
NBA_2002,
NBA_2003,
NBA_2004,
NBA_2005,
NBA_2006,
NBA_2007,
NBA_2008,
NBA_2009,
NBA_2010,
NBA_2011,
NBA_2012,
NBA_2013,
NBA_2014,
NBA_2015,
NBA_2016)
# Do a full stack merge
games <- list()
withProgress(message = "Loading data...", value = 0, {
for(each in 1:length(gamesList)) {
games <- merge(games, gamesList[each], all = TRUE)
incProgress(amount = 1/length(gamesList))
}
})
# Step 2: Fixing the points columns so R doesn't keep getting pissed off that they are levels, not numerics
games$schedule.PTS <- as.numeric(as.character(games$schedule.PTS))
games$schedule.PTS.1 <- as.numeric(as.character(games$schedule.PTS.1))
pointsData <- cbind.data.frame(games$schedule.PTS, games$schedule.PTS.1)
# Step 3: Plot it
# screw it, i'm using plotly. Sick of ggplot2 not working.
numGamesPlayed <- nrow(pointsData)
plot_ly(data = pointsData,
x = ~games$schedule.PTS,
y = ~games$schedule.PTS.1,
type = "histogram2dcontour",
alpha = 1,
width = staticWidth,
height = staticHeight,
hoverinfo = "none",
colorbar = list(title = paste("(Out of ", numGamesPlayed, " total games)")),
xbins = list(start = 40, end = 190, size = 5),
ybins = list(start = 40, end = 190, size = 5)
) %>% layout(xaxis = list(title = "Home Points",
c(40,190),
nticks = 16),
yaxis = list(title = "Away Points",
c(40, 190),
nticks = 16)
)
})
output$About <- renderUI({
HTML("<b>Created by Ashwin Sundar.</b>
<br>
<b><a href='mailto:[email protected]?subject= Feedback on NBA Points Distribution R Shiny Application'>Feedback</a></b>
<br>
<br>
<b>Tools Used:</b>
<br>
<a href = 'https://www.rstudio.com/'>RStudio</a>
<br>
<a href = 'https://www.rstudio.com/products/shiny/'>Shiny</a>
<br>
<a href = 'https://plot.ly/'>Plotly</a>
<br>
<a href = 'https://cran.r-project.org/web/packages/XML/index.html'>XML</a>
<br>
<a href = 'http://www.basketball-reference.com/'>basketball-reference.com</a>")
})
}
# Run the application
shinyApp(ui = ui, server = server)