Update app.R

app.R

@@ -264,6 +264,14 @@ FSL25 <- download_private_parquet("TimStats/StatcastDataAll", "FSL25.parquet")
 FSL25$level <- "FSL"
 #ST <- read.csv("SpringT25.csv", header = TRUE, check.names = FALSE, fileEncoding = "UTF-8")
 
+MLB26 <- download_private_parquet("TimStats/StatcastDataAll", "MLB26.parquet")
+MLB26$level <- "MLB"
+AAA26 <- download_private_parquet("TimStats/StatcastDataAll", "AAA26.parquet")
+AAA26$level <- "AAA"
+#FSL26 <- download_private_parquet("TimStats/StatcastDataAll", "FSL26.parquet")
+#FSL26$level <- "FSL"
+
+                          
 #names(ST)
 MLB <- download_private_parquet("TimStats/StatcastDataAll", "MLB.parquet")
 MLB$level <- "MLB"
@@ -271,12 +279,14 @@ AAA <- download_private_parquet("TimStats/StatcastDataAll", "AAA.parquet")
 AAA$level <- "AAA"
 FSLAll <- download_private_parquet("TimStats/StatcastDataAll", "FSL.parquet")
 FSLAll$level <- "FSL"
-MLB <- rbind(MLB,MLB25)
-AAA <- rbind(AAA,AAA25)
-FSLAll <- rbind(FSLAll,FSL25)
+MLB <- rbind(MLB,MLB25,MLB26)
+print("aaa")
+AAA <- rbind(AAA,AAA25,AAA26)
+print("fsl")
+FSL <- rbind(FSL,FSL25)
 
                           
-temp_players <- MLB %>% filter(season == 2025)
+temp_players <- MLB %>% filter(season == 2026)
 MLBC <- rbind(MLB,AAA,FSLAll)
 data <- is_barrel(MLBC) %>%
   mutate(
@@ -384,7 +394,7 @@ server <- function(input, output,session) {
         titlePanel(NULL, windowTitle = "Baseball Stats Visualization"),
         sidebarLayout(
           sidebarPanel(
-            selectInput("szn", "Season:", c(2025, 2024, 2023, 2022, 2021, 2021)),
+            selectInput("szn", "Season:", c(2026,2025, 2024, 2023, 2022, 2021, 2021)),
             selectInput("level", "Level:", c("MLB", "AAA", "FSL")),
             selectInput("type", "Player Type:", c("Batter", "Pitcher")),
             selectInput("player", "Player:", choices = unique(temp_players$`Batter Name`)),
@@ -565,8 +575,8 @@ server <- function(input, output,session) {
     
     indv <- data %>% filter(`Batter Name` == input$player,level == input$level)
     #if(indv[1,5] >= 149){
-    if(input$szn == 2025){
-    qual <- data %>% filter(BIP > 50)
+    if(input$szn == 2026){
+    qual <- data %>% filter(BIP > 10)
     } 
     else{
     qual <- data %>% filter(BIP > 249)