#' The application User-Interface
#'
#' @param request Internal parameter for `{shiny}`.
#' DO NOT REMOVE.
#' @import shiny
#' @noRd
app_ui <- function(request) {
tagList(
# Leave this function for adding external resources
golem_add_external_resources(),
# List the first level UI elements here
shinyUI(
fluidPage(theme = shinythemes::shinytheme("flatly"),
tags$title("Analyze COVID Numbers in Ireland by County"),
column(width = 12,
h1("COVID Numbers in Ireland by County"),
HTML(
"<div class='alert alert-info'>",
"The scatter plot is a recreation of this <a href='https://www.ft.com/content/a2dbf1c0-dcce-4eae-b1f6-f2c31bf0db8a' class='alert-link'>plot</a> from the Finanical Times.",
"</div>"
)),
fluidRow(
column(width = 12,
mod_dataviz_scatter_ui("dataviz_scatter_ui_1"))),
fluidRow(
# Sidebar with a slider input
column(width = 3,
wellPanel(
# tags$style(".well {background-color:#33FFC4;}"),
sliderInput("slider_dlb_date",label = "Date Range",
value = c(min(dailycases$time_stamp),max(dailycases$time_stamp)),
min = min(lubridate::ymd("2020-04-01")),
max = max(dailycases$time_stamp),
dragRange = FALSE,
timeFormat = "%Y-%m-%d",
animate = FALSE),
checkboxInput("ck_7day", "7 day smoothed", FALSE),
checkboxInput("ck_14day", "14 day smoothed", FALSE)
)),
# Show a plot of the generated distribution
column(width = 9,
tabsetPanel(
tabPanel("Avg Rates per 100k", mod_dataviz_bar_ui("dataviz_bar_ui_1")),
tabPanel("Daily Case Counts",mod_dataviz_bar_ui("dataviz_bar_ui_2"))
)
)#column
)#fluidRow
)#fluidPage
)#shinyUi
)#tagLst
}
#' Add external Resources to the Application
#'
#' This function is internally used to add external
#' resources inside the Shiny application.
#'
#' @import shiny
#' @importFrom golem add_resource_path activate_js favicon bundle_resources
#' @noRd
golem_add_external_resources <- function(){
add_resource_path(
'www', app_sys('app/www')
)
tags$head(
favicon(),
bundle_resources(
path = app_sys('app/www'),
app_title = 'covidIE'
)
# Add here other external resources
# for example, you can add shinyalert::useShinyalert()
)
}
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