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| #
# 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("shinyWidgets")
library(shinydashboard)
library(shinythemes)
library(shiny)
library(readr)
data <- read_csv("C:/Users/Marie-Noelle/OneDrive/Desktop/L3-G1 DU Actuariat/projet R/S2/BDD/master - Copie.csv")
data$country<-as.factor(data$country)
data$sex<-as.factor(data$sex)
data$age<-as.factor(data$age)
data$generation<-as.factor(data$generation)
data$`country-year`<-as.factor(data$`country-year`)
# Define UI for application that draws a histogram
header = dashboardHeader(title = "Taux de suicide entre 1985 et 2016", titleWidth = 450)
sidebar = dashboardSidebar(
sidebarMenu(
menuItem("Accueil", tabName = "accueil", icon = icon("home")),
menuItem("Analyse univariee", icon = icon("th"), tabName = "uni"),
menuItem("Analyse bivariee", icon = icon("signal"), tabName = "biv"),
menuItem("Tests", icon = icon("flag"), tabName = "test"),
menuItem("Cartes",icon = icon("globe"), tabName = "cartes")
)
)
body = dashboardBody(
tabItems(
##################### Accueil ###################################
tabItem(tabName = "accueil",
fluidRow(
box(
title = "More info", background = "olive", width = 4, collapsible = TRUE,
uiOutput("listMovies")),
box(
title = "More info", background = "red", width = 4, collapsible = TRUE,
uiOutput("listMovies")),
box(
title = "More info", background = "purple", width = 4, collapsible = TRUE,
uiOutput("listMovies"))
),
fluidRow(
box(
title = "Table", status = "success", width = 8, solidHeader = TRUE,
DT::dataTableOutput("moviePicker")
)),
tags$h3("Evolution du nombre de suicides en fonction du temps"),
br(),
dropdownButton(
tags$h3("Selectionnez des parametres"),
selectInput(inputId = 'type',
label = 'Type de graphe',
choices = c("Courbe","lineaire", "camember")),
selectInput(inputId = 'col',
label = 'Choisissez une couleur',
choices = c("red","blue","yellow"),
selected = 1),
sliderInput(inputId = 'annee', "Year", min = 1958, max = 2016,
value = c(1958, 2016), sep = ""),
circle = TRUE, status = "danger",
icon = icon("gear"), width = "300px",
tooltip = tooltipOptions(title = "Click to see inputs !")
),
plotOutput(outputId = 'plot1')
)
,
#############################################################
tabItem(tabName = "cartes",
h2("Dashboard tab content")),
tabItem(tabName = "uni",
h2("Analyse Univariee"),
fluidRow(
tabBox(width = 5, title = "Graphs",
tabPanel("LOESS", plotOutput("budgetYear")),
tabPanel("Linear", plotOutput("budgetYearLinear"))
),
box(
title = "Annees", width = 4,
sliderInput("year", "Year", min = 1958, max = 2016,
value = c(1958, 2016), sep = "")
),
box(
width = 3, status = "info",
checkboxGroupInput("checkbox", "Choose your...",
choices = c("Own adventure",
"Weapon",
"Next words wisely"))
)
)
),
tabItem(tabName = "biv",
h2("Analyse Bivariee"),
fluidRow(
tabBox(width = 5, title = "Graphs",
tabPanel("LOESS", plotOutput("budgetYear")),
tabPanel("Linear", plotOutput("budgetYearLinear"))
),
box(
title = "Annees", width = 4,
sliderInput("year", "Year", min = 1958, max = 2016,
value = c(1958, 2016), sep = "")
),
box(
width = 3, status = "info",
checkboxGroupInput("checkbox", "Choose your...",
choices = c("Own adventure",
"Weapon",
"Next words wisely"))
)
)
),
tabItem(tabName = "test",
h2("Tests"),
fluidRow(
tabBox(width = 5, title = "Graphs",
tabPanel("LOESS", plotOutput("budgetYear")),
tabPanel("Linear", plotOutput("budgetYearLinear"))
),
box(
title = "Annees", width = 4,
sliderInput("year", "Year", min = 1958, max = 2016,
value = c(1958, 2016), sep = "")
),
box(
width = 3, status = "info",
checkboxGroupInput("checkbox", "Choose your...",
choices = c("Own adventure",
"Weapon",
"Next words wisely"))
)
)
)
))
ui<-dashboardPage(header, sidebar, body,skin="black")
# Define server logic required to draw a histogram
server <- function(input, output,session) {
data_chemin<-paste("C:/Users/Marie-Noelle/OneDrive/Desktop/L3-G1 DU Actuariat",
"projet R/S2/BDD/master - Copie.csv",
sep="/")
data <- read_csv(data_chemin)
debut <- reactive({ as.integer(input$annee[1]) })
fin <- reactive({as.integer(input$annee[2])})
selected <- reactive({
data%>% filter(year%in% seq(2000, 2016))%>%
aggregate(`suicides/100k pop`, list(year), sum )%>%
colnames()=c("year","nb_suicides")
})
moyenne_suicides <- mean(selected())
output$plot1<- renderPlot({
par(mar = c(5.1, 4.1, 0, 1))
ggplot(selected(), aes(y=nb_suicides, x=year, col=input$col)) +
geom_point(size=2, pch=17, col="red")+
scale_x_continuous(breaks = seq(debut(), fin(), 2)) +
geom_hline(yintercept=moyenne_suicides, linetype = 2,
color = "red", size = 1) +
labs(title = "Suicides globale par 100000 habitants",
subtitle = "Tendance entre 1985 et 2015.",
x = "Year",
y = "Suicides par 100k")
})
}
# Run the application
shinyApp(ui = ui, server = server) |
[Shiny] Afficher des graphiques
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