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| library(shiny) | |
| library(shinyalert) | |
| library(shinythemes) | |
| library(shinycssloaders) | |
| library(shinyjs) | |
| library(httr) | |
| library(bslib) | |
| library(thematic) | |
| library(gtrendsR) | |
| library(plotly) | |
| library(dplyr) | |
| library(ggplot2) | |
| options(spinner.color = "lightblue", | |
| spinner.color.background = "#ffffff", | |
| spinner.size = 2) | |
| my_theme <- bs_theme( | |
| bg = "#fdfefe", | |
| fg = "blue", | |
| primary = "red", | |
| base_font = font_google("PT Sans Caption"), | |
| "font-size-base" = "0.9rem", | |
| version = 5, | |
| "navbar-bg" = "blue" | |
| ) | |
| thematic_shiny() | |
| ui <- list(useShinyjs(),navbarPage(windowTitle = "TrendChecker", | |
| title = strong("TrendChecker"),theme = my_theme, | |
| tabPanel(title = strong("Trend Over Time"),icon = icon("chart-line"), | |
| sidebarLayout( | |
| sidebarPanel(width = 3,actionButton("info",strong("About TrendChecker",icon("info"))),hr(), | |
| hidden(tags$div(id = "about",h5("TrendChecker is a web application that enables users to monitor the search popularity of any subject of interest over time, | |
| and across different countries by calling the Google trend api. Search hit of 100 is the indicator of optimum popularity, while other hits are measured relative to the optimum."))),h4(strong("Controls")),hr(), | |
| textInput("text",strong("Enter Search Term"),value = "Soccer"), | |
| checkboxGroupInput("check",strong("Select Country(ies)"),choices = c("USA" = "US","UK" = "GB","Germany" = "DE","Netherlands" = "NL","Nigeria" = "NG","Japan" = "JP"),selected = "US"), | |
| radioButtons("radio",strong("Choose Trend Source"),choices = c("Web","News","YouTube","Images"),selected = "News"), | |
| radioButtons("time",strong("Select Time Frame"),choices = c("Last Hour","Last Four Hours","Last Day","Last Seven Days","Past 30 Days","Past 90 Days","Past 12 Months","Last Five Years"),selected = "Last Seven Days"), | |
| actionButton("run",strong("Run Query"),icon("caret-right")) | |
| ), | |
| mainPanel( | |
| withSpinner(plotlyOutput("plot"),type = 8)) | |
| )) | |
| )) | |
| # Define server logic required to run query | |
| server <- function(input, output,session) { | |
| ## APP info button toggle activation | |
| observeEvent(input$info,{ | |
| toggle("about") | |
| }) | |
| ## Create reactive input switch functionality | |
| check_input <- reactive(input$check) | |
| radio_input <- reactive(switch(input$radio, | |
| "Web" = "web", | |
| "News" = "news", | |
| "YouTube" = "youtube", | |
| "Images" = "images")) | |
| radio_time <- reactive(switch(input$time, | |
| "Last Hour" = "now 1-H", | |
| "Last Four Hours" = "now 4-H", | |
| "Last Day" = "now 1-d", | |
| "Last Seven Days" = "now 7-d", | |
| "Past 30 Days" = "today 1-m", | |
| "Past 90 Days" = "today 3-m", | |
| "Past 12 Months" = "today 12-m", | |
| "Last Five Years" = "today+5-y")) | |
| text_input <- reactive(input$text) | |
| ## Write the trend function | |
| trend <- function(){ | |
| gt <- gtrends(keyword = c(text_input()),geo = c(check_input()),gprop = radio_input(), | |
| time = radio_time()) | |
| p <- plot(gt) | |
| gp <- ggplotly(p) | |
| return(gp) | |
| } | |
| ## Convert to reactive function | |
| trend2 <- reactive(trend()) | |
| ## Create interactive plot | |
| output$plot <- renderPlotly({ | |
| withProgress(message = "Fetching data", | |
| detail = "This may take a while...",value = 0,{ | |
| for (i in 1:25){ | |
| incProgress(1/25) | |
| Sys.sleep(0.25) | |
| } | |
| }) | |
| input$run | |
| isolate(trend2()) | |
| }) | |
| } | |
| # Run the application | |
| shinyApp(ui = ui, server = server) | |