Plot CSV Data in ggplot2

Plot from CSV

When reading in files most often stringsAsFactors = FALSE is used. This setting ensures that non-numeric data (strings) are not converted to factors.

A factor is similar to a category. However factors can be numerically interpreted (they can have an order) and may have a level associated with them.

library(plotly)
require(ggplot2)

df <- read.csv("https://raw.githubusercontent.com/plotly/datasets/master/iris-data.csv",
      stringsAsFactors = FALSE)

p <- ggplot(data=iris, aes(x = Sepal.Length, y = Sepal.Width)) 
p <- p + geom_point(aes(color=Species, shape=Species)) +
  xlab("Sepal Length") +  ylab("Sepal Width") +
  ggtitle("Sepal Length-Width")

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)