Update app.R
Browse files
app.R
CHANGED
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@@ -1,5 +1,5 @@
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library(shiny)
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library(
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library(shinyWidgets)
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library(ggplot2)
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library(MASS) # For kde2d function
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@@ -60,7 +60,7 @@ heatMap <- function(data, gtitle, concen) {
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panel.background = element_rect(fill = "#333333", color = NA),
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text = element_text(color = "white"),
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panel.grid = element_blank(),
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plot.title = element_text(hjust = 0.5)
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)
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}
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@@ -68,133 +68,85 @@ mlb <- download_private_csv("TimStats/MiLBStatcast", paste0("MLB", "24T", ".csv"
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aaa <- download_private_csv("TimStats/MiLBStatcast", paste0("AAA", "24T", ".csv"))
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fsl <- download_private_csv("TimStats/MiLBStatcast", paste0("FSL", "24T", ".csv"))
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.selectize-input {
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background-color: #e0e0e0;
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color: #333333;
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}
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.selectize-dropdown {
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background-color: #e0e0e0;
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color: #333333;
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}
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.selectize-dropdown-content {
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background-color: #e0e0e0;
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color: #333333;
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}
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.selectize-dropdown .active {
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background-color: #b0b0b0;
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color: #333333;
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}
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label {
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color: #ffffff;
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}
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.irs-min, .irs-max, .irs-from, .irs-to, .irs-single {
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color: #333333;
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background-color: #e0e0e0;
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}
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.irs-bar {
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border-top: 1px solid #428bca;
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border-bottom: 1px solid #428bca;
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background: #428bca;
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}
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.irs-line {
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background: #e0e0e0;
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border: 1px solid #777777;
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}
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.daterangepicker {
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background-color: #e0e0e0;
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color: #333333;
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}
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.daterangepicker .calendar-table {
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background-color: #e0e0e0;
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}
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.daterangepicker td.active, .daterangepicker td.active:hover {
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background-color: #007bff;
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color: #ffffff;
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}
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.daterangepicker td.available:hover, .daterangepicker th.available:hover {
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background-color: #b0b0b0;
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}
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.daterangepicker .calendar-table .next span, .daterangepicker .calendar-table .prev span {
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color: #333333;
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}
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.daterangepicker .drp-selected {
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color: #333333;
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}
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"))
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),
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tabItems(
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tabItem(tabName = "player",
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fluidRow(
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column(width = 3,
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box(width = NULL, title = "Pick Player Here", status = "primary",
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selectInput("league", "Select League:", choices = c("MLB","AAA","FSL")),
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selectInput("player", "Select Player:", choices = c("")),
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sliderInput("concen", "Heatmap Bandwidth", value = 1, step = 0.05, min = .5, max = 1.5)
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)
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),
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column(width = 4,
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box(width = NULL, title = "Filters for Graph 1", status = "info",
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selectInput("hand1", "Batter Handedness", choices = c("All Batters","LHH","RHH")),
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selectInput("pitch1", "Pitch:", choices = c("")),
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dateRangeInput("date1", "Date Range:", start = "2024-02-09", end = "2024-09-05")
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)
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),
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column(width = 4,
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box(width = NULL, title = "Filters for Graph 2", status = "success",
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selectInput("hand2", "Batter Handedness", choices = c("All Batters","LHH","RHH")),
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selectInput("pitch2", "Pitch:", choices = c("")),
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dateRangeInput("date2", "Date Range:", start = "2024-02-09", end = "2024-09-05")
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)
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)
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),
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fluidRow(
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column(width = 7,
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box(width = NULL, title = "Combined Heatmap", status = "warning",
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plotOutput("combined_graph", height = "600px")
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)
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)
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)
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)
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)
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)
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)
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server <- function(input, output, session) {
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pname <- reactiveVal()
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observeEvent(input$league, {
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req(input$league)
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tryCatch({
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if(input$league == "MLB"){
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t <- mlb
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@@ -242,47 +194,17 @@ server <- function(input, output, session) {
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})
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output$combined_graph <- renderPlot({
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t <- pname()
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# Function to filter data based on inputs
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filter_data <- function(hand, pitch, date_range) {
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data <- if(hand == "All Batters") {
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t %>% filter(`Pitcher.Name` == input$player)
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} else if(hand == "LHH") {
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t %>% filter(bhand == "L", `Pitcher.Name` == input$player)
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} else {
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t %>% filter(bhand == "R", `Pitcher.Name` == input$player)
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}
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data %>%
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filter(pitch_name == pitch) %>%
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filter(between(as.Date(date), date_range[1], date_range[2]))
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}
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graph1_data <- filter_data(input$hand1, input$pitch1, input$date1)
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graph2_data <- filter_data(input$hand2, input$pitch2, input$date2)
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title1 <- paste0(input$player, " ", input$pitch1, " vs. ", input$hand1, "\n", input$date1[1], " to ", input$date1[2])
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title2 <- paste0(input$player, " ", input$pitch2, " vs. ", input$hand2, "\n", input$date2[1], " to ", input$date2[2])
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plot1 <- heatMap(graph1_data, title1, input$concen)
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plot2 <- heatMap(graph2_data, title2, input$concen)
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combined_plot <- plot1 + plot2 +
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plot_layout(ncol = 2) +
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plot_annotation(
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title = paste0(input$player, " Pitch Comparison"),
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theme = theme(
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plot.title = element_text(hjust = 0.5, size = 20, color = "white"),
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plot.background = element_rect(fill = "#333333", color = NA),
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plot.margin = margin(0, 0, 0, 0)
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)
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) &
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theme(plot.margin = margin(0, 0, 0, 0))
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return(combined_plot)
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}, bg = "#333333", width = 800)
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}
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shinyApp(ui = ui, server = server)
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library(shiny)
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library(bslib)
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library(shinyWidgets)
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library(ggplot2)
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library(MASS) # For kde2d function
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panel.background = element_rect(fill = "#333333", color = NA),
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text = element_text(color = "white"),
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panel.grid = element_blank(),
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plot.title = element_text(hjust = 0.5)
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)
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}
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aaa <- download_private_csv("TimStats/MiLBStatcast", paste0("AAA", "24T", ".csv"))
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fsl <- download_private_csv("TimStats/MiLBStatcast", paste0("FSL", "24T", ".csv"))
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ui <- page_fluid(
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theme = bs_theme(bg = "#333333", fg = "#ffffff", primary = "#428bca"),
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card(
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card_header("Player Selection"),
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layout_sidebar(
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sidebar = sidebar(
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selectInput("league", "Select League:", choices = c("MLB","AAA","FSL")),
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selectInput("player", "Select Player:", choices = c("")),
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sliderInput("concen", "Heatmap Bandwidth", value = 1, step = 0.05, min = .5, max = 1.5)
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),
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card(
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layout_columns(
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col_widths = c(6, 6),
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card(
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selectInput("hand1", "Batter Handedness", choices = c("All Batters","LHH","RHH")),
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selectInput("pitch1", "Pitch:", choices = c("")),
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dateRangeInput("date1", "Date Range:", start = "2024-02-09", end = "2024-09-05")
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),
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card(
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selectInput("hand2", "Batter Handedness", choices = c("All Batters","LHH","RHH")),
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selectInput("pitch2", "Pitch:", choices = c("")),
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dateRangeInput("date2", "Date Range:", start = "2024-02-09", end = "2024-09-05")
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)
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)
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),
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card(
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downloadButton("download", "Download Plot", class = "btn-primary mb-3"),
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plotOutput("combined_graph", height = "600px")
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)
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)
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)
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)
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server <- function(input, output, session) {
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pname <- reactiveVal()
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plot_data <- reactive({
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t <- pname()
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# Function to filter data based on inputs
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filter_data <- function(hand, pitch, date_range) {
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data <- if(hand == "All Batters") {
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t %>% filter(`Pitcher.Name` == input$player)
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} else if(hand == "LHH") {
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t %>% filter(bhand == "L", `Pitcher.Name` == input$player)
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} else {
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t %>% filter(bhand == "R", `Pitcher.Name` == input$player)
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}
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data %>%
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filter(pitch_name == pitch) %>%
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filter(between(as.Date(date), date_range[1], date_range[2]))
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}
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graph1_data <- filter_data(input$hand1, input$pitch1, input$date1)
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graph2_data <- filter_data(input$hand2, input$pitch2, input$date2)
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title1 <- paste0(input$player, " ", input$pitch1, " vs. ", input$hand1, "\n", input$date1[1], " to ", input$date1[2])
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title2 <- paste0(input$player, " ", input$pitch2, " vs. ", input$hand2, "\n", input$date2[1], " to ", input$date2[2])
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plot1 <- heatMap(graph1_data, title1, input$concen)
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plot2 <- heatMap(graph2_data, title2, input$concen)
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plot1 + plot2 +
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plot_layout(ncol = 2) +
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plot_annotation(
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title = paste0(input$player, " Pitch Comparison"),
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theme = theme(
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plot.title = element_text(hjust = 0.5, size = 20, color = "white"),
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plot.background = element_rect(fill = "#333333", color = NA),
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plot.margin = margin(0, 0, 0, 0)
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)
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) &
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theme(plot.margin = margin(0, 0, 0, 0))
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})
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observeEvent(input$league, {
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req(input$league)
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tryCatch({
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if(input$league == "MLB"){
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t <- mlb
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})
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output$combined_graph <- renderPlot({
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plot_data()
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}, bg = "#333333", width = 800)
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output$download <- downloadHandler(
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filename = function() {
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paste0(input$player, "_pitch_comparison.png")
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},
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content = function(file) {
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ggsave(file, plot = plot_data(), width = 12, height = 8, dpi = 300)
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}
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)
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}
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shinyApp(ui = ui, server = server)
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