#' @import shiny
#' @import ggplot2
#' @import ggiraph
app_server <- function(input, output, session) {
dataPlot <- reactive({
if(input$area == "France"){
get_data_spf_FR("data/raw/COVID19data_SPF.xlsx")
} else if (input$area == "Nouvelle Aquitaine") {
get_data_aqui("data/raw/Tableau_decompte_des_cas_confirmes_NA_report_manuel_15-03-2020.xlsx")
}
})
output$slideDate <- renderUI({
sliderInput(inputId = "date", label = "Date",
value = dataPlot()[["range"]][1],
min = dataPlot()[["range"]][1], max = dataPlot()[["range"]][2],
timeFormat = "%Y-%m-%d",
step = 1,
animate = animationOptions(interval = 1000),
width = "60vh")
})
output$cases_total <- renderValueBox({
valueBox(
value = fun_cases_total(dataPlot()[["data"]], input$date),
subtitle = paste0("Nombre total de cas le ", input$date),
icon = icon("users")
)
})
output$cases_day <- renderValueBox({
valueBox(
value = fun_cases_day(dataPlot()[["data"]], input$date),
subtitle = paste0("Nombre de nouveaux cas le ", input$date),
icon = icon("user")
)
})
output$fct_exp <- renderValueBox({
valueBox(
value = fun_fct_exp(dataPlot()[["data"]], input$date),
subtitle = "Taux d'augmentation de diagnostics positifs par rapport au jour précédent",
icon = icon("chart-line")
)
})
output$plot_map <- renderggiraph({
girafe(ggobj = fun_plot_map(dataPlot()[["data"]], input$date),
options = list(opts_tooltip(css = "font-size: 11px; color: white; background: black; border-radius: 3px; padding: 3px;",
opacity = 0.7)),
width_svg = 9, height_svg = 9)
})
output$plot_bar <- renderggiraph({
girafe(ggobj = fun_plot_bar(dataPlot()[["data"]], input$date, dataPlot()[["range"]]),
options = list(opts_tooltip(css = "font-size: 11px; color: white; background: black; border-radius: 3px; padding: 3px;",
opacity = 0.7)),
width_svg = 10, height_svg = 6)
})
}
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