#
# This is a Shiny web application. You can run the application by clicking
# the 'Run App' button above.
#
# Find out more about building applications with Shiny here:
#
# http://shiny.rstudio.com/
#
library(shiny)
library(tidyverse)
library(leaflet)
library(rgdal)
country <- readOGR(dsn = tmp, layer = "ne_110m_admin_0_countries", encoding = "UTF-8")
business<-country[country@data$admin %in% c("Brazil","Colombia","Panama","Kazakhstan","Argentina","India","","Chile","Dominican Republic","United Kingdom","El Salvador","United States of America"),]
business@data$category <- factor(sample.int(20L, nrow(business@data), FALSE))
# Define UI for application that draws a histogram
ui <- navbarPage("Market Portal",
tabPanel("About",
bootstrapPage(
leafletOutput("Map",width="100%",height="800px"),
absolutePanel(top=100, right=50,
selectInput("Business", "Business", c("Brazil","Colombia","Panama","Kazakhstan","Argentina","India","Chile","Dominican Republic","United Kingdom","El Salvador","United States of America"), selected="")
))))
# Define server logic required to draw a histogram
server <- function(input, output) {
output$Map <- renderLeaflet({
factpal <- colorFactor(topo.colors(20), business@data$category)
state_popup <- paste0("<strong>Name of the country </strong>",
business$admin,
"<br><strong> information is </strong>",
business$economy)
leaflet() %>%
addProviderTiles("CartoDB.Positron") %>%
addPolygons(data=business,
layerId=~admin,
fillColor= ~factpal(category),
fillOpacity = 0.7,
color = "#BDBDC3",
weight = 1,
popup = state_popup,
highlight = highlightOptions(
weight = 5,
color = "#666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE))})
observeEvent(input$Map_shape_click, { # update the location selectInput on map clicks
p <- input$Map_shape_click
if(!is.null(p$admin)){
if(is.null(input$Business) || input$Business!=p$admin) updateSelectInput(session, "Business", selected=p$admin)
}
})
}
# Run the application
shinyApp(ui = ui, server = server)
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