added barplot (no of crashes per year)

proj3/projekt.R

@@ -92,11 +92,14 @@ ui <- fluidPage(
                                               min(airplane_crashes$Date),
                                               max(airplane_crashes$Date)),
                                # wybor godziny
-                               timeInput("time", "Time (local):", seconds = FALSE)),
-                        column(6, plotlyOutput("weekdayCrashes"))
+                               timeInput("time", "Time (local):", seconds = FALSE)
                                ),
+                        column(6, plotOutput("crashes_each_year"))
+                      ),
+                      
                       fixedRow(
                          column(3, plotlyOutput("hourCrashes")),
+                         column(3, plotlyOutput("weekdayCrashes")),
                          column(3, plotlyOutput("monthCrashes"))
                       )),
              tabPanel("Streamgraph",
@@ -132,10 +135,23 @@ server <- function(input, output, session) {
   # godzina
   observe(print(strftime(input$time, "%R")))
   
+  output$crashes_each_year <- renderPlot({
+ 
+    year_wise <- airplane_crashes %>% count(Year)
+    
+    year_wise <- year_wise %>%
+      filter(Year > year(input$dates[1])) %>%
+      filter(Year < year(input$dates[2]))
+    
+    ggplot(year_wise, aes(x = Year, y = n)) +
+      geom_col(fill = '#0f4c75', col = 'white') +
+      labs(title = 'No. of Airplane crashes since 1908 each year', x = '', y = '') +
+      scale_x_continuous(breaks = seq(1908, 2020, 4))
+  })
+  
   output$weekdayCrashes <- renderPlotly({
   
     week_day <- airplane_crashes %>% count(Weekday)
-    
     week_day$Weekday <- as.character(week_day$Weekday) 
     
     week_day$Weekday[week_day$Weekday == 1] <- "Monday"
@@ -149,15 +165,36 @@ server <- function(input, output, session) {
     # zmiana kolejnosci dni; dni nie powinny sie wyswietlac alfabetycznie 
     week_day$Weekday <-  factor(week_day$Weekday, levels= c('Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'))
     
-    plot_ly(
-      x = week_day$Weekday, y = week_day$n,
-      name = 'No. of crashes per week day', type = "bar"
-    ) %>% 
-      layout(title = 'Week Day Crashes',
-             xaxis = list(title = "Weekdays",
-                          zeroline = FALSE),
-             yaxis = list(title = "No. of crashes",
-                          zeroline = FALSE))
+    
+    # plot_ly(
+    #   x = week_day$Weekday, y = week_day$n,
+    #   name = 'No. of crashes per week day', type = "bar"
+    # ) %>% 
+    #   layout(title = 'Week Day Crashes',
+    #          xaxis = list(title = "Weekdays",
+    #                       zeroline = FALSE),
+    #          yaxis = list(title = "No. of crashes",
+    #                       zeroline = FALSE))
+    
+    df <- week_day
+    df <- df %>% arrange(Weekday)
+    fig <-  df %>% plot_ly(labels = ~Weekday, values = ~n, sort=FALSE)
+    fig <- fig %>% add_pie(hole = 0.4)
+    fig <- fig %>% layout(title = "No. of crashes per weekday", xaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE),
+                          yaxis = list(showgrid = FALSE, zeroline = FALSE, showticklabels = FALSE))
+
+    fig
+    # 
+    # df <- df %>% arrange(Hour)
+    # df$Hour <- as.character(df$Hour)
+    # df$Hour <- paste(df$Hour, ":00", sep = "")
+    # 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
+    
     
   })
   
@@ -193,8 +230,6 @@ server <- function(input, output, session) {
     fig
   
     
-    
-    
   })
   
   output$monthCrashes <- renderPlotly({