How to use plotly in R shiny

Question

I'm attempting to add a graph to the shiny output that I created. I'm receiving a graph generation error. Could someone please look and help. The parameters of the bar graph are computation-based outputs produced by calculations.

renderPlotly(server output$graph)

Plotly (x=c (as.numeric (input$contract), round (frateperton()), differencerate()),

y=c("Contract Rate," "ZBC Rate," "Difference")

"Zero Based Rate Chart" is its name.

("bar" type)

})

UI \splotlyOutput("graph"),

Answer 1

Here's a corrected version of your code:

# Assuming you have the required libraries loaded (e.g., shiny, plotly)

# Define your Shiny UI
ui <- fluidPage(
  # ... other UI components
  
  # Define the plotly output
  plotlyOutput("graph")
)

# Define your Shiny server
server <- function(input, output) {
  # ... other server logic
  
  # Define the reactive expression to calculate your plot data
  plot_data <- reactive({
    x <- c(as.numeric(input$contract), round(frateperton()), differencerate())
    y <- c("Contract Rate", "ZBC Rate", "Difference")
    
    data <- data.frame(x = x, y = y)
    return(data)
  })
  
  # Render the plotly graph
  output$graph <- renderPlotly({
    plot_data_df <- plot_data()
    
    # Create the bar chart
    plot_ly(data = plot_data_df, x = ~x, y = ~y, type = "bar", name = "Zero Based Rate Chart") %>%
      layout(title = "Zero Based Rate Chart")
  })
}

# Run the Shiny app
shinyApp(ui, server)

Here's what the changes and corrections are:

1. In the ui section, we define the plotlyOutput("graph") as part of the Shiny UI. This sets up a placeholder for your plot.

2. In the server section, we create a reactive expression called plot_data to calculate the data you want to plot. This separates the data calculation from the plot rendering.

3. Inside the renderPlotly function, we retrieve the data frame from the reactive expression using plot_data(). Then, we use plot_ly to create the bar chart and set the layout with a title.

Make sure to adapt this code to your specific context, including defining other UI components and server logic as needed.

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