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dubai_real_estate_app.R
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dubai_real_estate_app.R
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library(shiny)
library(shinydashboard)
library(ggplot2)
library(magrittr)
library(data.table)
library(readr)
library(tidyverse)
library(shinyWidgets)
library(gridExtra)
library(shinythemes)
dubai_house_transaction <- read.csv("Transactions.csv")
dubai_house_transaction <- dubai_house_transaction[,c(1,3:5,7,9,11:19,21)]
dubai_house_transaction$instance_date <- as.Date(dubai_house_transaction$instance_date, "%d-%m-%Y")
dubai_house_transaction$month_yr <- format(dubai_house_transaction$instance_date, "%m-%Y")
dubai_house_transaction <- subset(dubai_house_transaction , procedure_area <= 1000000)
areas_dubai <- dubai_house_transaction %>%
select(area_name_en) %>%
unique()
property_type <- dubai_house_transaction %>%
select(property_type_en) %>%
unique()
property_type <- c(property_type$property_type_en)
property_subtype <- dubai_house_transaction %>%
select(property_sub_type_en) %>%
unique()
property_subtype <- c(property_subtype$property_sub_type_en)
procedure_name <- dubai_house_transaction %>%
select(procedure_name_en) %>%
unique()
reg_type <- dubai_house_transaction %>%
select(reg_type_en) %>%
unique()
require(data.table)
setDT(dubai_house_transaction)
require(magrittr)
colnames(dubai_house_transaction) = colnames(dubai_house_transaction) %>%
gsub("X","",.) %>%
gsub("\\.","/",.)
ui <- fluidPage(
theme = shinytheme("superhero"),
titlePanel("Dubai Real Estate Transactions - Buy a house in the city of your dreams!", windowTitle = "Dubai Real Estate"),
sidebarLayout(
column(2, wellPanel(
selectInput("area",
label = "Choose an area in Dubai:",
choices = areas_dubai,
selected = "Al Thanayah Fourth"
),
br(),
checkboxGroupInput("property_type",
label = "Choose a property type:",
choices = property_type,
selected = property_type
),
br(),
checkboxGroupInput("property_subtype",
label = "Choose a property subtype:",
choices = property_subtype,
selected = property_subtype
),
br(),
radioButtons("procedure_name",
label = "Choose a procedure:",
choices = procedure_name$procedure_name_en,
selected = "Sales"
),
br(),
radioButtons("reg_type",
label = "Choose a type:",
choices = reg_type$reg_type_en,
selected = "Existing Properties"
),
br(),
dateRangeInput("daterange",
label = 'Date range input: yyyy-mm-dd',
start = as.Date(min(dubai_house_transaction$instance_date, na.rm = TRUE), format = "%m/%d/%Y"),
end = as.Date(max(dubai_house_transaction$instance_date, na.rm = TRUE), format = "%m/%d/%Y"),
min = as.Date(min(dubai_house_transaction$instance_date, na.rm = TRUE), format = "%m/%d/%Y"),
max = as.Date(max(dubai_house_transaction$instance_date, na.rm = TRUE), format = "%m/%d/%Y")
),
br(),
sliderInput("meter2range",
label = 'Meter square',
min = min(dubai_house_transaction$procedure_area, na.rm = TRUE),
max = max(dubai_house_transaction$procedure_area, na.rm = TRUE),
value = c(500, 10000),
step = 100
),
)),
mainPanel(
h3("You have selected these parameters:"),
fluidRow(
column(4,
textOutput("area"),
textOutput("property_type"),
textOutput("property_subtype"),
textOutput("procedure_name"),
textOutput("reg_type"),
textOutput("daterange"),
textOutput("meter2range"),
textOutput("transactions"),
span(textOutput("warning"),style="color:red")),
column(8,
img(src = "dubai.png", width=650, align = "right")),
),
br(),
br(),
plotOutput("graph")
)
)
)
server <- function(input, output) {
output$area <- renderText({
paste("Neighbourhood:", input$area)
})
output$property_type <- renderText({
paste(c("Property types:", (input$property_type)), collapse="\t")
})
output$property_subtype <- renderText({
paste(c("Sub property types:", (input$property_subtype)), collapse="\t")
})
output$procedure_name <- renderText({
paste("Procedure:", input$procedure_name)
})
output$reg_type <- renderText({
paste("Type:", input$reg_type)
})
output$daterange <- renderText({
paste("Period from:", input$daterange[1], "to", input$daterange[2])
})
output$meter2range <- renderText({
paste("Surface from:", input$meter2range[1], "m^2 to", input$meter2range[2], "m^2")
})
output$graph <- renderPlot({
dubai_plot <- subset(dubai_house_transaction,
instance_date >= input$daterange[1] & instance_date <= input$daterange[2]
& procedure_area >= input$meter2range[1] & procedure_area <= input$meter2range[2]
& area_name_en ==input$area
& procedure_name_en == input$procedure_name
& reg_type_en == input$reg_type
& property_type_en %in% input$property_type
& property_sub_type_en %in% input$property_subtype
)
transactions <- nrow(dubai_plot)
p1 <- ggplot(dubai_plot,
aes(x= instance_date, y = actual_worth)) +
geom_line(data = dubai_plot[`area_name_en`==input$area], color = 'red', size = 1) +
ggtitle("Amount sold each day in Dubai in euros") +
xlab("Year") +
ylab("Price") +
theme_bw() +
theme(plot.title = element_text(lineheight=.8, face="bold", color='red', hjust=0.5))
p2 <- ggplot(dubai_plot,
aes(x= instance_date, y = meter_sale_price)) +
geom_line(data = dubai_plot[`area_name_en`==input$area], color = 'blue', size = 1) +
ggtitle("Amount per meter squared sold each day in Dubai in euros") +
xlab("Year") +
ylab("Price per m^2") +
theme_bw() +
theme(plot.title = element_text(lineheight=.8, face="bold", color='blue', hjust=0.5))
grid.arrange(p1,p2, nrow=2)
}, height=650, width=1200)
output$transactions <- renderText({
dubai_plot <- subset(dubai_house_transaction,
instance_date >= input$daterange[1] & instance_date <= input$daterange[2]
& procedure_area >= input$meter2range[1] & procedure_area <= input$meter2range[2]
& area_name_en ==input$area
& procedure_name_en == input$procedure_name
& reg_type_en == input$reg_type
& property_type_en %in% input$property_type
& property_sub_type_en %in% input$property_subtype
)
paste("Number of transactions considered:", nrow(dubai_plot))
})
output$warning <- renderText({
dubai_plot <- subset(dubai_house_transaction,
instance_date >= input$daterange[1] & instance_date <= input$daterange[2]
& procedure_area >= input$meter2range[1] & procedure_area <= input$meter2range[2]
& area_name_en ==input$area
& procedure_name_en == input$procedure_name
& reg_type_en == input$reg_type
& property_type_en %in% input$property_type
& property_sub_type_en %in% input$property_subtype
)
if(nrow(dubai_plot)==0){print("Warning! Your research doesn't correspond to any result")}
})
}
# Run the application
shinyApp(ui = ui, server = server)