Update app.R

app.R

@@ -1,33 +1,29 @@
 # Fonction pour filtrer les données
 filter_data <- function(data, input, return_columns = NULL) {
-  # If no column is selected, return an empty data table
+  # Vérifier si aucune colonne n'est sélectionnée
   if (length(input$column) == 0) {
     return(data[0])
   }
   
+  # Filtrage par plage de dates
   filtered_data <- data[
     Annee_unique >= input$date_range[1] &
       Annee_unique <= input$date_range[2]
   ]
   
   pattern <- input$motcle
-  
-  # Create a logical vector to store matches across columns
   matches <- rep(FALSE, nrow(filtered_data))
   
-  # Check each selected column for matches and combine results with "OR" logic
   for (col in input$column) {
-    if(input$regex){
-      matches <- matches | grepl(pattern, filtered_data[[col]])
+    if (input$regex) {
+      matches <- matches | grepl(pattern, filtered_data[[col]], ignore.case = TRUE)
     } else {
-      matches <- matches | grepl(pattern, filtered_data[[col]], fixed = TRUE)
+      matches <- matches | grepl(pattern, filtered_data[[col]], fixed = TRUE, ignore.case = TRUE)
     }
   }
   
-  # Filter the data based on the combined matches
   filtered_data <- filtered_data[matches, ]
   
-  # If return_columns is specified, select only those columns
   if (!is.null(return_columns)) {
     filtered_data <- filtered_data[, ..return_columns]
   }