crashes per hour donut plot added

proj3/projekt.R

@@ -76,8 +76,8 @@ ui <- fluidPage(
                         ),
                         mainPanel(
                           # wykresiki
-                          plotlyOutput("weekdayCrashes")
-                          
+                          plotlyOutput("weekdayCrashes"),
+                          plotlyOutput("hourCrashes")
                         )
                       )
              ),
@@ -131,7 +131,7 @@ server <- function(input, output, session) {
     
     plot_ly(
       x = week_day$Weekday, y = week_day$n,
-      name = 'Week Day Crashes', type = "bar"
+      name = 'No. of crashes per week day', type = "bar"
     ) %>% 
       layout(title = 'Week Day Crashes',
              xaxis = list(title = "Weekdays",
@@ -141,6 +141,42 @@ server <- function(input, output, session) {
     
   })
   
+  output$hourCrashes <- renderPlotly({
+    
+    crashes_per_hours <- airplane_crashes %>% count(Hour)
+    crashes_per_hours <- crashes_per_hours[-c(1,26,27,28), ]
+    
+    
+    #dodanie pozycji labeli
+    # crashes_per_hours <- crashes_per_hours %>%
+    #   arrange(Hour) %>%
+    #   mutate(lab.ypos = cumsum(n) - 0.5*n)
+    # 
+    # ggplot(crashes_per_hours, aes(x = "", y = n, fill = Hour)) +
+    #   geom_bar(stat="identity", width=1, color="white") +
+    #   coord_polar("y", start=0) +
+    #   geom_text(aes(y = lab.ypos, label = Hour), color = "white")+
+    #   theme_void() + 
+    #   theme(legend.position="none")
+    
+    df <- crashes_per_hours
+    #df <- paste(df$Hour, ":00")
+    df <- df %>% arrange(Hour)
+    fig <-  df %>% plot_ly(labels = ~Hour, values = ~n, sort=FALSE)
+    fig <- fig %>% add_pie(hole = 0.4) 
+    fig <- fig %>% layout(title = "No. of crashes per hour", xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
+                          yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))
+    
+    fig
+    
+
+    
+    
+  })
+  
+  
+  
+  
   
   output$operatorCrashes <- renderStreamgraph({
     
@@ -237,7 +273,7 @@ server <- function(input, output, session) {
     map_data <- cntry %>% 
       full_join(world_map, by = c('Country' = 'region')) 
     
-    map_pal = c("#E0DFD5", "#E4B363", "#E97F02", '#EF6461', '#313638')
+    map_pal = c('#E6CE39', '#F09B3C', '#D94B41', '#CD3CF0', '#555CEB')
     
     ggplot_obj <- 
       ggplot(map_data, aes(x = long, y = lat, group = group, fill = m)) +