Replace interactive comparison with plotly

server.R

@@ -278,64 +278,60 @@ server <- function(input, output, session) {
       year = currently_compared_year()
     )
 
-    ggplotly(ggplot(data_tibble, aes(x = Erfasst, y = reorder(Location, Erfasst, FUN = sum), group = Name, fill = Name)) + #reorder macht die höchsten Werte nach oben, und sortiert nach Gesamtwert
+    location_totals <- data_tibble %>%
-      geom_col(position = position_dodge(width = 0.9)) +
+      group_by(Location) %>%
-      scale_fill_brewer(palette = "Blues") +
+      summarise(Total = sum(Erfasst)) %>%
-      geom_text(
+      arrange(Total)
-        # Die Text-Ästhetik soll der Wert aus der Spalte 'Erfasst' sein
+  
-        aes(label = format(Erfasst, big.mark = ".", decimal.mark = ",")), 
+    data_tibble <- data_tibble %>%
-        # Platzierung: Y-Wert des Textes = Wert der Spalte + Offset
+      mutate(Location = factor(Location, levels = location_totals$Location))
-        # Wir verwenden den Offset, um den Text knapp über den Balken zu platzieren
+    
-        # Wenn Sie den Text IN den Balken setzen möchten, setzen Sie y=Erfasst/2
+    wide_data <- data_tibble %>%
-        position = position_dodge(width = 0.9),
+      pivot_wider(names_from = Name, values_from = Erfasst, values_fill = 0)
-        hjust = -0.3, #schiebt die Zahl nach rechts
+    
-        vjust = 0.5,  #schiebt Zahlen mittig hinter Balken
+    first_loc <- levels(data_tibble$Location)[length(levels(data_tibble$Location))]
-        size = 4,
+    crime_order <- wide_data %>%
-        fontface = "bold"
+      filter(Location == first_loc) %>%
-      ) +
+      select(-Location) %>%
-      labs(
+      t() %>%
-        title = "Polizeilich registrierte Straftaten",
+      as.data.frame() %>%
-        x = "Anzahl erfasster Fälle",
+      arrange(V1) %>%
-        y = NULL
+      rownames()
-      ) +
+    
-      scale_x_continuous(expand = expansion(mult = c(0, 0.15))) +
+    wide_data <- wide_data %>%
-      theme_classic() + #neues theme aus ggthemes packages
+      select(Location, all_of(crime_order))
-      # NEUE ANPASSUNG: Drehen der X-Achsen-Beschriftungen
+    
-      theme(
+    blue_palette <- colorRampPalette(tail(RColorBrewer::brewer.pal(8, "Blues"), 6))
-        plot.background = element_rect(
+    plot <- plot_ly() %>%
-          color = "darkgrey",  # Farbe des Rahmens
+    layout(
-          linewidth = 0.4,    # Dicke des Rahmens
+      barmode = 'group',
-          fill = NA         # Füllung: NA = transparent
+      colorway = blue_palette(6),
-        ),
+      xaxis = list(
-        plot.margin = margin(t = 20, r = 20, b = 20, l = 20, unit = "pt"),
+        title = "<b>Anzahl erfasster Fälle<b>"
-        legend.position = "bottom",
+      ),
-        legend.text = element_text(size = 13),
+      yaxis = list(
-        legend.title = element_blank(),
+        title = "<b>Straftat<b>",
-        # X-Achsen-Titel (z.B. "Straftatbestand")
+        tickangle = "-90"
-        axis.text.x = element_text(
+      )
-          vjust = 1, 
+    ) %>%
-          hjust = 1,
+    config(
-          size = 12
+      staticPlot = TRUE
-        ),
-        axis.title.x = element_text(
-          face = "bold",
-          family = "sans",
-          # Fügt Abstand nach OBEN hinzu
-          margin = margin(t = 15), # t = top (oben) in Pixeln
-          size = 12
-        ),
-        axis.text.y = element_text(
-          size = 13
-        ),
-        # Y-Achsen-Titel (z.B. "Anzahl erfasster Fälle")
-        axis.title.y = element_text(
-          face = "bold",
-          family = "sans",
-          # Fügen Sie hier einen Abstand nach RECHTS hinzu
-          margin = margin(r = 15) # r = right (rechts) in Pixeln
-        )
-      ) 
     )
+    for(i in seq_along(crime_order)) {
+      crime <- crime_order[i]
+      plot <- plot %>%
+        add_trace(
+          x = wide_data[[crime]],
+          y = wide_data$Location,
+          name = crime,
+          text = format(wide_data[[crime]], big.mark = ".", decimal.mark = ","),
+          textposition = "outside",
+          type = "bar",
+          orientation = "h",
+          legendrank = length(crime_order) - i
+        )
+    }
+    plot
   })
   
 }