Update app.R

app.R

@@ -1,58 +1,58 @@
 library(shiny)
-library(bslib)
+library(data.table)
 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(shinycssloaders)
+options(shiny.maxRequestSize = 100000 * 1024^2)
+ui <- fluidPage(
+  titlePanel("CSV File Combiner"),
+  sidebarLayout(
+    sidebarPanel(
+      fileInput("file_input", "Choose CSV Files", multiple = TRUE, accept = c("text/csv", ".csv")),
+      actionButton("combine_button", "Combine Files"),
+      br(),
+      br(),
+      downloadButton("download_data", "Download Combined CSV")
     ),
-    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(
+      withSpinner(tableOutput("preview_table"))
+    )
+  )
 )
 
 server <- function(input, output, session) {
-  subsetted <- reactive({
-    req(input$species)
-    df |> filter(Species %in% input$species)
-  })
-
-  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$by_species
-        )
+  combined_data <- reactiveVal(NULL)
+  
+  observeEvent(input$combine_button, {
+    req(input$file_input)
+    
+    withProgress(message = 'Combining files', value = 0, {
+      combined <- data.frame()
+      
+      for (i in 1:nrow(input$file_input)) {
+        file <- input$file_input$datapath[i]
+        data <- fread(file)
+        combined <- rbind(combined, data)
+        
+        incProgress(1/nrow(input$file_input), detail = paste("Processing file", i))
       }
-
-      p
+      
+      combined_data(combined)
+    })
+  })
+  
+  output$preview_table <- renderTable({
+    req(combined_data())
+    head(combined_data(), 10)
+  })
+  
+  output$download_data <- downloadHandler(
+    filename = function() {
+      paste("combined_data_", Sys.Date(), ".csv", sep = "")
     },
-    res = 100
+    content = function(file) {
+      write.csv(combined_data(), file, row.names = FALSE)
+    }
   )
 }
 
-shinyApp(ui, server)
+shinyApp(ui = ui, server = server)