Update app.R

app.R

@@ -65,14 +65,14 @@ download_private_csv <- function(repo_id, filename) {
   }
 }
 
-ST <- download_private_csv("TimStats/StatcastDataAll", "SpringT25.csv")
+MLB25 <- download_private_csv("TimStats/StatcastDataAll", "MLB25.csv")
 #ST <- read.csv("SpringT25.csv", header = TRUE, check.names = FALSE, fileEncoding = "UTF-8")
 
 names(ST)
 MLB <- download_private_csv("TimStats/StatcastDataAll", "MLB.csv")
 AAA <- download_private_csv("TimStats/StatcastDataAll", "AAA.csv")
 FSL <- download_private_csv("TimStats/StatcastDataAll", "FSL.csv")
-
+MLB <- rbind(MLB,MLB25)
 is_barrel <- function(df) {
   df$hit_speedr <- round(df$hit_speed)
   df <- df |>
@@ -389,12 +389,13 @@ ui <- fluidPage(
         p("X: ", a("(@TimStats)", href = "https://twitter.com/timstats")),
         p("Data Contains 2020-2025"),
         p("Data Updated To:", Sys.Date() - 1),
+        p("Please avoid large multi-year, multi-league queries as they tend to crash the app")
         
         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(2025)"),
+                      c("MLB", "AAA", "FSL"),
                       multiple = TRUE
           ),
           selectInput("group", "Group By:", 
@@ -409,7 +410,7 @@ ui <- fluidPage(
                       multiple = TRUE
           ),
           dateRangeInput("date_range", "Date Range:",
-                         start = "2025-02-20",
+                         start = "2025-03-18",
                          end = Sys.Date() - 1,
                          #min = "2024-02-23",
                          max = Sys.Date() - 1