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library(shiny) |
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library(shinyalert) |
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library(shinythemes) |
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library(shinycssloaders) |
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library(shinyjs) |
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library(httr) |
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library(bslib) |
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library(thematic) |
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library(gtrendsR) |
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library(plotly) |
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library(dplyr) |
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library(ggplot2) |
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options(spinner.color = "lightblue", |
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spinner.color.background = "#ffffff", |
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spinner.size = 2) |
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my_theme <- bs_theme( |
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bg = "#fdfefe", |
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fg = "blue", |
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primary = "red", |
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base_font = font_google("PT Sans Caption"), |
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"font-size-base" = "0.9rem", |
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version = 5, |
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"navbar-bg" = "blue" |
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) |
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thematic_shiny() |
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ui <- list(useShinyjs(),navbarPage(windowTitle = "TrendChecker", |
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title = strong("TrendChecker"),theme = my_theme, |
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tabPanel(title = strong("Trend Over Time"),icon = icon("chart-line"), |
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sidebarLayout( |
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sidebarPanel(width = 2,actionButton("info",strong("About TrendChecker",icon("info"))),hr(), |
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hidden(tags$div(id = "about",h5("TrendChecker is a web application that enables users to monitor the search popularity of any subject of interest over time, |
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and across different countries by calling the Google trend api. Search hit of 100 is the indicator of optimum popularity, while other hits are measured relative to the optimum."))),h4(strong("Controls")),hr(), |
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textInput("text",strong("Enter Search Term"),width = "15%"), |
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checkboxGroupInput("check",strong("Select Country(ies)"),choices = c("USA" = "US","UK" = "GB","Germany" = "DE","Netherlands" = "NL","Nigeria" = "NG","Japan" = "JP")), |
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radioButtons("radio",strong("Choose Trend Source"),choices = c("Web","News","YouTube","Images")), |
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radioButtons("time",strong("Select Time Frame"),choices = c("Last Hour","Last Four Hours","Last Day","Last Seven Days","Past 30 Days","Past 90 Days","Past 12 Months","Last Five Years")), |
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actionButton("run",strong("Run Search"),icon("caret-right")) |
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), |
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mainPanel( |
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withSpinner(plotOutput("plot", width = "113%", height = "450px"),type = 8), |
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downloadButton("plot_download","Download",icon = icon("download"))), |
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)) |
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)) |
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server <- function(input, output,session) { |
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observeEvent(input$info,{ |
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toggle("about") |
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}) |
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check_input <- reactive(input$check) |
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radio_input <- reactive(switch(input$radio, |
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"Web" = "web", |
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"News" = "news", |
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"YouTube" = "youtube", |
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"Images" = "images")) |
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radio_time <- reactive(switch(input$time, |
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"Last Hour" = "now 1-H", |
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"Last Four Hours" = "now 4-H", |
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"Last Day" = "now 1-d", |
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"Last Seven Days" = "now 7-d", |
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"Past 30 Days" = "today 1-m", |
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"Past 90 Days" = "today 3-m", |
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"Past 12 Months" = "today 12-m", |
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"Last Five Years" = "today+5-y")) |
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text_input <- reactive(input$text) |
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trend <- function(){ |
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gt <- gtrends(keyword = text_input(),geo = check_input(),gprop = radio_input(), |
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time = radio_time()) |
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p <- plot(gt) |
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return(p) |
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} |
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trend2 <- eventReactive(input$run,{ |
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trend() |
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}) |
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output$plot <- renderPlot({ |
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withProgress(message = "Fetching data", |
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detail = "This may take a while...",value = 0,{ |
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for (i in 1:40){ |
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incProgress(1/40) |
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Sys.sleep(0.4) |
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} |
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}) |
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req(input$run) |
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trend2() |
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}) |
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output$plot_download <- downloadHandler( |
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filename = function(){ |
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paste("graph",".jpg",sep = "") |
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}, |
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content = function(file){ |
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jpeg(file) |
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trend() |
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dev.off() |
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} |
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) |
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} |
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shinyApp(ui = ui, server = server) |
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