Insert a graph(plotly) into a R shiny

Plotly R, MATLAB, Julia, Net Plotly R
1

Hello everyone,

I have tried to create a app with R shiny where the user can download a excel file and print an interactive graph, using plotly from R, with the selection of the x and y parameters from selectInput() function.

library(shiny)
library(rsconnect)
library(ggplot2)
library(plotly)
plotType ← function(data, x, y, type){
switch(type,
“Line” = ggplot(data, aes_string(x, y)) + geom_line(),
“Scatterplot” = ggplot(data, aes_string(x, y)) + geom_point()
)
}
ui ← fluidPage(
sidebarPanel(
# Input: select a file
fileInput(inputId = “file1”, label = “Choose CSV File”,
multiple = FALSE,
accept = c(“text/csv”,
“text/comma-separated-values, text/plain”,
“.csv”)
),
tags$hr(),

checkboxInput("header", "Header", TRUE),

radioButtons(inputId ="sep", label = "Separator",
             choices = c(Comma = ",",
                         Semicolon = ";",
                         Tab = "\t"),
             selected = ","),
radioButtons(inputId = "quote", label = "Quote",
             choices = c(None = "",
                         "Double Quote" = '"',
                         "Single Quote" = "'"),
             selected = '"'),
# Horizontal line
tags$hr(),
# Empty inputs - they will be updated after the data is uploaded
selectInput('xcol', 'X Variable', ""),
selectInput('ycol', 'Y Variable', "", selected = ""),
 # Horizontal line
tags$hr(),
# Input: Select the type of graph 
radioButtons(inputId ="graph", label = "Type of graph:",
             choices = c("Line", 
                         "Scatterplot"),
             selected = "Line")),

mainPanel(
tabsetPanel( type = “tabs”,
tabPanel(
# App title
titlePanel(“Uploading Files”),
# Output: Data file
tableOutput(“contents”)
),
tabPanel(
titlePanel(“Plot”),
plotOutput(‘MyPlot’)
),
tabPanel(
titlePanel(“Summary Statistics”),
verbatimTextOutput(“summary”)
))))

server ← function(input, output, session) {
data ← reactive({
req(input$file1) # require that the input is available
df ← read.csv(input$file1$datapath,
header = input$header,
sep = input$sep,
quote = input$quote)

updateSelectInput(session, inputId = 'xcol', label = 'X Variable',
                  choices = names(df), selected = names(df)[sapply(df, is.numeric)])
updateSelectInput(session, inputId = 'ycol', label = 'Y Variable',
                  choices = names(df), selected = names(df)[sapply(df, is.numeric)])

return(df)
})

output$contents ← renderTable({
data()
})
output$MyPlot ← renderPlotly({
x ← data()[, c(input$xcol, input$ycol)]
p ← plotType(x, input$xcol,
input$ycol,
input$graph)
p
})
# Generate a summary table of the data uploaded
output$summary ← renderPrint({
y ← data()
summary(y)
})
}
shinyApp(ui = ui, server = server)