Merge branch 'master' of https://git.wmi.amu.edu.pl/s444427/UE_house_prices_wizualizacja

webapp.R

@@ -2,11 +2,14 @@ library(shiny)
 library(leaflet)
 library(ggplot2)
 library(dplyr)
+library(shinyalert)
+library(DT)
+# install.packages("DT")
 
 # Frontend
 ui <- fluidPage(
 
-  sidebarLayout(
+sidebarLayout(
   sidebarPanel(
     # Compound interest
     sliderInput("range", "Compound interest:",min = 0, max = 10, value = c(4,8)),textOutput("Compound interest slider"),
@@ -22,9 +25,9 @@ ui <- fluidPage(
                        width = "75%"
     ),
     
-      
+    # About
-      
+    useShinyalert(),
-      
+    actionButton("about", "?"),
     
     
     width=3
@@ -43,7 +46,7 @@ ui <- fluidPage(
   ),
   
   fluid = TRUE
-  )
+)
 
 
 
@@ -52,13 +55,34 @@ ui <- fluidPage(
 # Backend
 server <- function(input, output, session) {
 
-  output$table <- renderDataTable({
+observeEvent(input$about, {
-    merged_df[, !names(merged_df) %in% c("OBS_VALUE.x", "OBS_VALUE.y", "geometry")]
+  # Show a modal when the button is pressed
-  }, options = list(pageLength = 10))
+  shinyalert("About project:", 
+  "Authors: Paweł Lewicki, Patryk Kaszuba\n
+  
+  The aim of the project is to present growth of house prices as index of Purchasing Power Parity (PPP) in countries of European Union. 2015 is a benchmark value (100 for each country).
+  
+  Datasets used:
+  - Eurostat Inflation 2022 - prc_hicp_aind_page_linear
+  - Eurostat House Price Index - prc_hpi_a__custom_3617733_page_linear
+  
+  Libraries used:
+  shiny, leaflet, ggplot2, dplyr, shinyalert, plotly, dplyr, 
+  tidyverse, eurostat, sf, scales, cowplot, ggthemes, RColorBrewer
+  
+  Subject: Data Wizualisation
+  Adam Mickiewicz University, 
+  Poznan, Poland, June 2023"
+  , type = "info")
+})
+
+output$table <- DT::renderDataTable({
+  datatable(merged_df[, !names(merged_df) %in% c("OBS_VALUE.x", "OBS_VALUE.y", "geometry")], options = list(pageLength = 10))
+})
 
 
-  # Plot module
+# Plot module
-  output$final_plot <- renderPlotly({
+output$final_plot <- renderPlotly({
   final_plot <- ggplot(filter(merged_df, geo %in% input$countries),
                        aes(x = TIME_PERIOD, y = house_prices_wo_hicp, color = geo, 
                            text = paste("Kraj: ", geo, "<br>", "Rok: ", TIME_PERIOD, "<br>", 
@@ -83,14 +107,14 @@ server <- function(input, output, session) {
   }
   
   plotly_plot %>% layout(showlegend = TRUE, legend = list(title = list(text = "Countries")))
-  })
+})
 
 
 
 
 
-  # Map module
+# Map module
-  output$mymap <- renderLeaflet({
+output$mymap <- renderLeaflet({
   leaflet() %>%
     addProviderTiles(providers$CartoDB.Positron) %>%
     addPolygons(data=mapdata_new,
@@ -108,7 +132,7 @@ server <- function(input, output, session) {
               title = "<span style='white-space: pre-line;'> Real house prices \n index (2022) </span>",
               labels = qpal_labs,
               opacity = 1)
-  }) # End of map module
+}) # End of map module
 
 }# End of server