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)