Update app.R

app.R

@@ -1,58 +1,383 @@
 library(shiny)
-library(bslib)
-library(dplyr)
-library(ggplot2)
-
-df <- readr::read_csv("penguins.csv")
-# Find subset of columns that are suitable for scatter plot
-df_num <- df |> select(where(is.numeric), -Year)
-
-ui <- page_sidebar(
-  theme = bs_theme(bootswatch = "minty"),
-  title = "Penguins explorer",
-  sidebar = sidebar(
-    varSelectInput("xvar", "X variable", df_num, selected = "Bill Length (mm)"),
-    varSelectInput("yvar", "Y variable", df_num, selected = "Bill Depth (mm)"),
-    checkboxGroupInput("species", "Filter by species",
-      choices = unique(df$Species), selected = unique(df$Species)
+library(tidyverse)
+
+data1 <- read.csv("data20-24.csv", header = TRUE, check.names = FALSE, fileEncoding = "UTF-8")
+
+AAaveragePT <- data1 %>%
+  mutate(arm_angle = round(arm_angle, digits = 0)) %>%
+  group_by(arm_angle, phand, pitch_name) %>%
+  summarise(
+    AvgIVB = mean(IVB, na.rm = TRUE),
+    AvgHB = mean(HB, na.rm = TRUE),
+    .groups = 'drop'
+  )
+
+break_plot_Szn <- function(game,data1,sdate,edate) {
+  game <- game %>% left_join(pitch_type_lookup, by = c("pitch_name"))
+  
+  title <- paste0(unique(game$`Pitcher Name`)," ",sdate," to ",edate)
+  # Get pitcher's handedness
+  pitcher_hand <- unique(game$phand)
+  
+  angle_degrees <- round(mean(game$arm_angle,na.rm = TRUE),digits = 1)
+  # Calculate average movement by arm angle and pitch type from season data
+  # AAaveragePT <- data1 %>%
+  #   mutate(arm_angle = round(arm_angle, digits = 0)) %>%
+  #   group_by(arm_angle, phand, pitch_name) %>%
+  #   summarise(
+  #     AvgIVB = mean(IVB, na.rm = TRUE),
+  #     AvgHB = mean(HB, na.rm = TRUE),
+  #     .groups = 'drop'
+  #   )
+  
+  pitch_colors <- c(
+    "FF" = "#FF4136",
+    "SI" = "#FF851B",
+    "FC" = "#FFDC00",
+    "CH" = "#2ECC40",
+    "SL" = "#0074D9",
+    "ST" = "#ED68ED",
+    "CU" = "#B10DC9",
+    "FS" = "#01FF70",
+    "KC" = "#85144b",
+    "SV" = "#3D9970",
+    "KN" = "#39CCCC",
+    "FO" = "#F012BE",
+    "EP" = "#AAAAAA",
+    "FA" = "#7FDBFF",
+    "SC" = "#FF69B4"
+  )
+  
+  # Convert angle to radians
+  angle_radians <- angle_degrees * (pi / 180)
+  
+  # Legend location based on handedness
+  if(pitcher_hand == "L") {
+    leg <- c(0.08, .22)
+    factor <- -1
+  } else {
+    leg <- c(0.92, .22)
+    factor <- 1
+  }
+  
+  # Calculate the endpoint coordinates
+  x_end <- 50 * cos(angle_radians) * factor
+  y_end <- 50 * sin(angle_radians)
+  
+  avg_locations <- game %>%
+    group_by(pitch_abbr) %>%
+    summarize(
+      avg_HB = mean(HB, na.rm = TRUE),
+      avg_IVB = mean(IVB, na.rm = TRUE)
+    )  
+  
+  # Get unique pitch types from the game data
+  game_pitches <- unique(game$pitch_abbr)
+  
+  # Filter season data for the current arm angle, handedness, and only pitches in the game
+  arm_angle_data <- data1 %>%
+    filter(abs(round(arm_angle) - angle_degrees) <= 2,
+           phand == pitcher_hand) %>%  
+    left_join(pitch_type_lookup, by = c("pitch_name")) %>%
+    filter(pitch_abbr %in% game_pitches)
+  
+  ggplot(game, aes(x = HB, y = IVB)) +
+    # Base layers
+    geom_vline(xintercept = 0, color = "lightblue", linewidth = 1, linetype = 4) +
+    geom_hline(yintercept = 0, color = "lightblue", linewidth = 1, linetype = 4) +
+    
+    # Add ellipses from season data for this arm angle
+    stat_ellipse(
+      data = arm_angle_data,
+      aes(x = HB, y = IVB, fill = pitch_abbr),
+      geom = "polygon",
+      alpha = 0.2,
+      level = 0.68,
+      show.legend = FALSE
+    ) +
+    
+    # Individual pitch points from the game
+    # geom_point(aes(fill = pitch_abbr), color = "#c6c6c6", size = 3, stroke = .5, shape = 21) +
+    
+    # # Average location points from season data
+    # geom_point(
+    #   data = AAaveragePT %>% 
+    #     filter(arm_angle == angle_degrees,
+    #            phand == pitcher_hand) %>%
+    #     left_join(pitch_type_lookup, by = c("pitch_name")) %>%
+    #     filter(pitch_abbr %in% game_pitches),
+    #   aes(x = AvgHB, y = AvgIVB, fill = pitch_abbr),
+    #   color = "black",
+    #   size = 6,
+    #   stroke = .5,
+    #   shape = 21
+    # ) +
+    geom_point(data = avg_locations, aes(x = avg_HB, y = avg_IVB, fill = pitch_abbr),
+               color = "black", size = 6, stroke = .5, shape = 21) +
+    # Arm angle line
+    geom_segment(x = 0, y = 0, xend = x_end, yend = y_end, color = "red", linewidth = 1, linetype = 5) +
+    
+    # Aesthetics
+    scale_fill_manual(values = pitch_colors) +
+    scale_color_manual(values = pitch_colors) +
+    labs(
+      x = "Horizontal Break (in)",
+      y = "Induced Vertical Break (in)", 
+      title = title,
+      subtitle = paste0("Arm Angle: ", angle_degrees, "\u00b0"),
+      caption = "Data: MLB | Viz: @TimStats\nEllipses show 1σ of movement for same-handed pitchers at similar arm angles"
+    ) +
+    xlim(-25, 25) +
+    ylim(-25, 25) +
+    theme_minimal() +
+    theme(
+      legend.position = leg,
+      plot.title = element_text(hjust = 0.5, face = "bold", color = "white"),
+      plot.subtitle = element_text(hjust = 0.5, face = "italic", color = "white"),
+      aspect.ratio = 1,
+      plot.background = element_rect(fill = "#333333", color = NA),
+      panel.background = element_rect(fill = "#333333", color = NA),
+      axis.text = element_text(color = "white"),
+      axis.title = element_text(color = "white"),
+      legend.background = element_rect(fill = "#333333"),
+      legend.text = element_text(color = "white"),
+      legend.title = element_blank(),
+      plot.margin = margin(10, 5, 10, 5),
+      axis.line = element_blank(),
+      axis.ticks = element_line(color = "white"),
+      panel.grid = element_blank(),
+      legend.key = element_blank(),
+      plot.caption = element_text(
+        color = "white",
+        hjust = 0.5
+      ),
+      panel.border = element_blank()
+    )
+}
+break_plot_tot <- function(game,data1,sdate,edate) {
+  game <- game %>% left_join(pitch_type_lookup, by = c("pitch_name"))
+  title <- paste0(unique(game$`Pitcher Name`)," ",sdate," to ",edate)
+  # Get pitcher's handedness
+  pitcher_hand <- unique(game$phand)
+  
+  angle_degrees <- round(mean(game$arm_angle,na.rm = TRUE),digits = 1)
+  # Calculate average movement by arm angle and pitch type from season data
+  # AAaveragePT <- data1 %>%
+  #   mutate(arm_angle = round(arm_angle, digits = 0)) %>%
+  #   group_by(arm_angle, phand, pitch_name) %>%
+  #   summarise(
+  #     AvgIVB = mean(IVB, na.rm = TRUE),
+  #     AvgHB = mean(HB, na.rm = TRUE),
+  #     .groups = 'drop'
+  #   )
+  
+  pitch_colors <- c(
+    "FF" = "#FF4136",
+    "SI" = "#FF851B",
+    "FC" = "#FFDC00",
+    "CH" = "#2ECC40",
+    "SL" = "#0074D9",
+    "ST" = "#ED68ED",
+    "CU" = "#B10DC9",
+    "FS" = "#01FF70",
+    "KC" = "#85144b",
+    "SV" = "#3D9970",
+    "KN" = "#39CCCC",
+    "FO" = "#F012BE",
+    "EP" = "#AAAAAA",
+    "FA" = "#7FDBFF",
+    "SC" = "#FF69B4"
+  )
+  
+  # Convert angle to radians
+  angle_radians <- angle_degrees * (pi / 180)
+  
+  # Legend location based on handedness
+  if(pitcher_hand == "L") {
+    leg <- c(0.08, .22)
+    factor <- -1
+  } else {
+    leg <- c(0.92, .22)
+    factor <- 1
+  }
+  
+  # Calculate the endpoint coordinates
+  x_end <- 50 * cos(angle_radians) * factor
+  y_end <- 50 * sin(angle_radians)
+  
+  avg_locations <- game %>%
+    group_by(pitch_abbr) %>%
+    summarize(
+      avg_HB = mean(HB, na.rm = TRUE),
+      avg_IVB = mean(IVB, na.rm = TRUE)
+    )  
+  
+  # Get unique pitch types from the game data
+  game_pitches <- unique(game$pitch_abbr)
+  
+  # Filter season data for the current arm angle, handedness, and only pitches in the game
+  arm_angle_data <- data1 %>%
+    filter(abs(round(arm_angle) - angle_degrees) <= 2,
+           phand == pitcher_hand) %>%  
+    left_join(pitch_type_lookup, by = c("pitch_name")) %>%
+    filter(pitch_abbr %in% game_pitches)
+  
+  ggplot(game, aes(x = HB, y = IVB)) +
+    # Base layers
+    geom_vline(xintercept = 0, color = "lightblue", linewidth = 1, linetype = 4) +
+    geom_hline(yintercept = 0, color = "lightblue", linewidth = 1, linetype = 4) +
+    
+    # Add ellipses from season data for this arm angle
+    stat_ellipse(
+      data = arm_angle_data,
+      aes(x = HB, y = IVB, fill = pitch_abbr),
+      geom = "polygon",
+      alpha = 0.2,
+      level = 0.68,
+      show.legend = FALSE
+    ) +
+    
+    # Individual pitch points from the game
+    geom_point(aes(fill = pitch_abbr), color = "#c6c6c6", size = 3, stroke = .5, shape = 21) +
+    
+    # # Average location points from season data
+    # geom_point(
+    #   data = AAaveragePT %>% 
+    #     filter(arm_angle == angle_degrees,
+    #            phand == pitcher_hand) %>%
+    #     left_join(pitch_type_lookup, by = c("pitch_name")) %>%
+    #     filter(pitch_abbr %in% game_pitches),
+    #   aes(x = AvgHB, y = AvgIVB, fill = pitch_abbr),
+    #   color = "black",
+    #   size = 6,
+    #   stroke = .5,
+    #   shape = 21
+    # ) +
+    geom_point(data = avg_locations, aes(x = avg_HB, y = avg_IVB, fill = pitch_abbr),
+               color = "black", size = 6, stroke = .5, shape = 21) +
+    # Arm angle line
+    geom_segment(x = 0, y = 0, xend = x_end, yend = y_end, color = "red", linewidth = 1, linetype = 5) +
+    
+    # Aesthetics
+    scale_fill_manual(values = pitch_colors) +
+    scale_color_manual(values = pitch_colors) +
+    labs(
+      x = "Horizontal Break (in)",
+      y = "Induced Vertical Break (in)", 
+      title = title,
+      subtitle = paste0("Arm Angle: ", angle_degrees, "\u00b0"),
+      caption = "Data: MLB | Viz: @TimStats\nEllipses show 1σ of movement for same-handed pitchers at similar arm angles"
+    ) +
+    xlim(-25, 25) +
+    ylim(-25, 25) +
+    theme_minimal() +
+    theme(
+      legend.position = leg,
+      plot.title = element_text(hjust = 0.5, face = "bold", color = "white"),
+      plot.subtitle = element_text(hjust = 0.5, face = "italic", color = "white"),
+      aspect.ratio = 1,
+      plot.background = element_rect(fill = "#333333", color = NA),
+      panel.background = element_rect(fill = "#333333", color = NA),
+      axis.text = element_text(color = "white"),
+      axis.title = element_text(color = "white"),
+      legend.background = element_rect(fill = "#333333"),
+      legend.text = element_text(color = "white"),
+      legend.title = element_blank(),
+      plot.margin = margin(10, 5, 10, 5),
+      axis.line = element_blank(),
+      axis.ticks = element_line(color = "white"),
+      panel.grid = element_blank(),
+      legend.key = element_blank(),
+      plot.caption = element_text(
+        color = "white",
+        hjust = 0.5
+      ),
+      panel.border = element_blank()
+    )
+}
+
+ui <- fluidPage(
+  # Application title
+  titlePanel("2020-2024 MLB Pitch Plots"),
+
+  sidebarLayout(
+    sidebarPanel(
+      width = 3,  
+      selectInput("player", "Select Player:", choices = unique(data1$`Pitcher Name`),
+                  width = "100%"),  
+      dateRangeInput("date1", "Date Range:", 
+                     start = "2024-02-09", 
+                     end = "2024-09-05",
+                     width = "100%"),  
+      radioButtons("type", "Plot Type", 
+                   choices = c("Season Average","All Pitches")),
+      actionButton("submit", "Update Plot", 
+                   class = "btn btn-primary btn-block",  
+                   style = "margin-bottom: 10px"), 
+      downloadButton("download", "Download Plot", 
+                     class = "btn btn-success btn-block") 
     ),
-    hr(), # Add a horizontal rule
-    checkboxInput("by_species", "Show species", TRUE),
-    checkboxInput("show_margins", "Show marginal plots", TRUE),
-    checkboxInput("smooth", "Add smoother"),
-  ),
-  plotOutput("scatter")
+    
+
+    mainPanel(
+      width = 9, 
+      plotOutput("Plot")
+    )
+  )
 )
 
-server <- function(input, output, session) {
-  subsetted <- reactive({
-    req(input$species)
-    df |> filter(Species %in% input$species)
+# Define server
+server <- function(input, output) {
+  filtered_data <- eventReactive(input$submit, {
+    data1 %>%
+      filter(`Pitcher Name` == input$player,
+             between(as.Date(date), input$date1[1], input$date1[2]))
   })
-
-  output$scatter <- renderPlot(
-    {
-      p <- ggplot(subsetted(), aes(!!input$xvar, !!input$yvar)) +
-        theme_light() +
-        list(
-          theme(legend.position = "bottom"),
-          if (input$by_species) aes(color = Species),
-          geom_point(),
-          if (input$smooth) geom_smooth()
-        )
-
-      if (input$show_margins) {
-        margin_type <- if (input$by_species) "density" else "histogram"
-        p <- p |> ggExtra::ggMarginal(
-          type = margin_type, margins = "both",
-          size = 8, groupColour = input$by_species, groupFill = input$by_species
-        )
-      }
-
-      p
+  
+  current_plot <- reactive({
+    game <- filtered_data()
+    season_data <- data1
+    
+    if(nrow(game) == 0) {
+      return(ggplot() + 
+               annotate("text", x = 0.5, y = 0.5, 
+                        label = "No data available for selected date range", 
+                        color = "white") +
+               theme_void() +
+               theme(plot.background = element_rect(fill = "#333333", color = NA)))
+    }
+    
+    if(input$type == "Season Average"){
+      break_plot_Szn(game, season_data, input$date1[1], input$date1[2])
+    } else{
+      break_plot_tot(game, season_data, input$date1[1], input$date1[2])
+    }
+  })
+  
+  output$Plot <- renderPlot({
+    current_plot()
+  }, width = 1000, height = 1000)
+  
+  output$download <- downloadHandler(
+    filename = function() {
+      
+      paste0(
+        gsub(" ", "_", input$player), "_",
+        format(input$date1[1], "%Y%m%d"), "_to_",
+        format(input$date1[2], "%Y%m%d"), ".png"
+      )
     },
-    res = 100
+    content = function(file) {
+
+      ggsave(file,
+             plot = current_plot(),
+             width = 7,
+             height = 7,
+             dpi = 300,
+             bg = "#333333") 
+    }
   )
 }
 
-shinyApp(ui, server)
+# Run the application 
+shinyApp(ui = ui, server = server)