Plot CSV Data in ggplot2

How to Plot CSV Data in ggplot2 with Plotly.

New to Plotly?

Plotly is a free and open-source graphing library for R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

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)