streamgraph added

proj3/projekt.R

@@ -1,5 +1,6 @@
+# dataset: https://www.kaggle.com/aiaiaidavid/airplane-crash-fatalities-since-1908-dv-03032020
 # setup srodowiska ####
-install.packages('shinyjs')
+setwd('/Users/patrycjalazna/Desktop/wizualizacja-danych/projekt_3/')
 
 # importy ####
 library(shiny)
@@ -57,20 +58,9 @@ airplane_crashes$btwn_6PM_6AM <- if_else
 
 
 # ShinyApp ####
-load_data <- function() {
-  Sys.sleep(2)
-  hide("loading_page")
-  show("main_content")
-}
+
 
 ui <- fluidPage(
-  useShinyjs(),
-  div(
-    id = "loading_page",
-    h1("Loading...")
-  ),
-  hidden(
-    div(
   id = "main_content",
   navbarPage("Airplane crashes from 1908 to 2020",
              tabPanel("General overview",
@@ -91,6 +81,12 @@ ui <- fluidPage(
                         )
                       )
              ),
+             tabPanel("Streamgraph",
+                      mainPanel(
+                        streamgraphOutput("operatorCrashes")
+                      )
+             ),
+             
              tabPanel("Map",
                       mainPanel(
                         # mapy
@@ -109,12 +105,10 @@ ui <- fluidPage(
                         DT::dataTableOutput('allData')
                       ))
   )
-  )
-  )
 )
 
+
 server <- function(input, output, session) {
-  load_data()
   # godzina
   observe(print(strftime(input$time, "%R")))
   
@@ -147,6 +141,32 @@ server <- function(input, output, session) {
     
   })
   
+  
+  output$operatorCrashes <- renderStreamgraph({
+    
+    main_type_wise_year <- airplane_crashes %>%
+      select(Year, Type) %>%
+      # replace model number by empty strings
+      mutate(main_type = str_replace_all(Type, "[A-Za-z]*-?\\d+-?[A-Za-z]*.*", "")) %>%
+      # skip empty strings row
+      filter(main_type > 'A') %>%
+      group_by(Year, main_type) %>%
+      summarize(n = n()) %>%
+      group_by(Year) %>%
+      top_n(5, n)
+    
+    # i teraz z tego streamgraph
+    main_type_wise_year <-  main_type_wise_year %>% arrange(-n)
+    streamgraph <-  main_type_wise_year %>%
+      group_by(Year, main_type) %>%
+      tally(wt=n) %>%
+      streamgraph("main_type", "n", "Year", interpolate="cardinal") %>%
+      sg_fill_brewer("PuOr") %>%
+      sg_legend(TRUE)
+    
+    streamgraph
+  })
+  
   output$mapPlot <- renderPlotly({
     
     states_list <- c('Alabama','Alaska','Alaksa','Arizona','Arkansas',"California",
@@ -247,3 +267,45 @@ server <- function(input, output, session) {
 
 shinyApp(ui = ui, server = server)
 
+
+
+
+# tutaj sb rysuje wykresiki demo, zeby nie odpalac shiny za kazdym razem ####
+
+# number of fatal accidents by operator - top 5
+
+##
+# extract and group by manufacturer
+# main_type_wise_year <- airplane_crashes %>%
+#   select(Year, Type) %>%
+#   # replace model number by empty strings
+#   mutate(main_type = str_replace_all(Type, "[A-Za-z]*-?\\d+-?[A-Za-z]*.*", "")) %>% 
+#   # skip empty strings row
+#   filter(main_type > 'A') %>%
+#   group_by(Year, main_type) %>%
+#   summarize(n = n()) %>%
+#   group_by(Year) %>%
+#   top_n(5, n) 
+# #%>% mutate(main_type = reorder_within(-n, main_type, Year))
+# 
+# # i teraz z tego streamgraph
+# main_type_wise_year <-  main_type_wise_year %>% arrange(-n)
+# main_type_wise_year %>%
+#   group_by(Year, main_type) %>%
+#   tally(wt=n) %>%
+#   streamgraph("main_type", "n", "Year", interpolate="cardinal") %>%
+#   sg_fill_brewer("PuOr") %>%
+#   sg_legend(TRUE)
+
+####
+# airplane_operators <- airplane_crashes %>% count(Operator, sort = TRUE)
+# airplane_operators <- head(airplane_operators, 5)
+# ggplot(airplane_operators, aes(x = Operator, y = n)) + 
+#   geom_point(color = "#765432", alpha = 0.8) +
+#   labs(title = "No. of fatal accidents by operator", x = '', y = '')
+# 
+# airplane_operators %>% 
+#   streamgraph(key="Operator", value=, date="Year", offset="zero") %>%
+#   sg_fill_brewer("BuPu")
+
+# wykres ile wypadkow kazdego operatora w kazdym roku