Pareto Plots in ggplot2

How to make Pareto Plots in ggplot2 with Plotly.

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Default pareto plot

library(plotly)
require(ggQC)
require(ggplot2)

df <- data.frame(
                  x = letters[1:10],
                  y = as.integer(runif(n = 10, min = 0, max=100))
                 )

p <- ggplot(df, aes(x=x, y=y)) +
 stat_pareto(point.color = "red",
             point.size = 3,
             line.color = "black",
             #size.line = 1,
             bars.fill = c("blue", "orange"),
 )

ggplotly(p)

What About Dash?

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly() 
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... ) 

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new()
app$layout(
    htmlDiv(
        list(
            dccGraph(figure=fig) 
        )
     )
)

app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)