Update app.R

app.R

@@ -387,13 +387,14 @@ ui <- fluidPage(
       div(
         style = "height: 100%; padding: 10px; background-color: #f8f9fa; border-right: 1px solid #dee2e6;",
         p("X: ", a("(@TimStats)", href = "https://twitter.com/timstats")),
+        p("Data Contains 2020-2025")
         p("Data Updated To:", Sys.Date() - 1),
         
         div(
           class = "mb-3",
           style = "background-color: white; padding: 15px; border-radius: 5px; margin-bottom: 15px;",
           selectInput("level", "Level:",
-                      c("MLB", "AAA", "FSL","Spring Training"),
+                      c("MLB", "AAA", "FSL","Spring Training(2025)"),
                       multiple = TRUE
           ),
           selectInput("group", "Group By:", 
@@ -459,7 +460,7 @@ server <- function(input, output, session) {
       if ("MLB" %in% input$level) MLB_processed,
       if ("AAA" %in% input$level) AAA_processed,
       if ("FSL" %in% input$level) FSL_processed,
-      if ("Spring Training" %in% input$level) ST_processed
+      if ("Spring Training(2025)" %in% input$level) ST_processed
     ) %>%
     filter(between(as.Date(date), input$date_range[1], input$date_range[2]))
     # First group and calculate all stats