diff --git a/admin/survey/modules/mod_EVOLI/R/Evoli_quality_clime_dan.R b/admin/survey/modules/mod_EVOLI/R/Evoli_quality_clime_dan.R
index a0b521401..473fe5dbf 100644
--- a/admin/survey/modules/mod_EVOLI/R/Evoli_quality_clime_dan.R
+++ b/admin/survey/modules/mod_EVOLI/R/Evoli_quality_clime_dan.R
@@ -60,7 +60,7 @@ ID <- params[1]
 
 
 #---------------------------- CUSTOm FUNCTIONS -----------------------------#
-source("modules/mod_EVOLI/R/Functions_QC/my_functions_QC.R")
+source("modules/mod_EVOLI/R/Functions_QC/my_functions_QC_dan.R")
 #---------------------------- CUSTOm FUNCTIONS -----------------------------#
 
 
diff --git a/admin/survey/modules/mod_EVOLI/R/Functions_QC/my_functions_QC_dan.R b/admin/survey/modules/mod_EVOLI/R/Functions_QC/my_functions_QC_dan.R
new file mode 100644
index 000000000..2d9508e0b
--- /dev/null
+++ b/admin/survey/modules/mod_EVOLI/R/Functions_QC/my_functions_QC_dan.R
@@ -0,0 +1,79 @@
+
+#------------------------------------ Load some usefull functions ------------------------------------#
+# Ustvarimo svojo funkcijo, ki vedno števila z 0.5 zaokrožila navzgor
+# (glej "Variables and syntax Quality Climate 22072019 - FDV (1)".xlsx)
+round2 = function(x) {
+  x <- round(x, 1)
+  # Najprej rekodiramo rezultate kot želi 
+  # stranka: glej file 
+  # "Variables and syntax Quality Climate 22072019 - FDV (1).xlsx"
+  x <- ifelse(x >= 4.9, 5, 
+              ifelse(x >=4.1 & x <= 4.8, 4, ifelse(
+                x >= 3.1 & x <= 4.0, 3, ifelse(
+                  x >= 2.1 & x <= 3.0, 2, ifelse(
+                    x >= 1.3 & x <= 2.0, 1, NA
+                  )
+                )
+              )
+              )
+  )
+  x 
+}
+
+
+
+#prepare data for plot
+prep.dat <- function(df, variable) {
+  df <- round2(rowMeans(df[, variable], na.rm = TRUE) / 4 * 5)
+  df <- data.frame(prop.table(table(df)) * 100) 
+  names(df)[1] <- "Frequency"
+  names(df)[2] <- "Prcentage"
+  # Check if there is no labels
+  # We want to show values from 1 - 5
+  # Therefore is some is missing we will 
+  # create it and assign it 0
+  # if (nrow(df) < 5) {
+  # miss <- 1:5
+  # # Check diff
+  # dif <- setdiff(miss, df[,1])
+  # # Check how many data we are missing
+  # miss.dummy <- df[1:length(dif),]
+  # # Clone data
+  # miss.dummy$Frekvens <- dif
+  # # # Add zeero
+  # miss.dummy$Procent <- 0
+  # # Finally Rbind
+  # df <- rbind(miss.dummy, df)
+  # # And order
+  # df <- df[order(df$Frekvens),]
+  # }
+  return(df)
+}
+
+
+# name po katerih bomo razvrstili stolpce v grafu
+labScore <- function(df, labelord) {
+  df$label <- ifelse(df$Frequency == 1,
+                     "Meget utilfredsstillende",
+                     ifelse(
+                       df$Frequency == 2,
+                       "Utilfredsstillende",
+                       ifelse(
+                         df$Frequency == 3,
+                         "Gennemsnitlig",
+                         ifelse(
+                           df$Frequency == 4,
+                           "Meget tilfredsstillende",
+                           ifelse(df$Frequency == 5, "S\u00E6rdeles tilfredsstillende", NA)
+                         )
+                       )
+                     )) 
+  
+  # Imena po katerih bomo razvrstili stolpce v grafih
+  df$name <- labelord
+  
+  return(df)
+  
+}
+
+#---------------------------------- //Load some usefull functions// ----------------------------------#
\ No newline at end of file