2D Histogram Contour in R

How to create 2D Histogram Contour plots in R with Plotly.

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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.

Basic 2D Histogram Contour

library(plotly)

s <- matrix(c(1, -.75, -.75, 1), ncol = 2)
obs <- mvtnorm::rmvnorm(500, sigma = s)

fig <- plot_ly(x = obs[,1], y = obs[,2]) 

fig <- fig %>%
  add_trace(type='histogram2dcontour')

fig

Styled 2D Histogram Contour

library(plotly)

cnt <- with(diamonds, table(cut, clarity))

fig <- plot_ly(diamonds, x = ~cut, y = ~clarity) 
fig <- fig %>%
  add_trace(
    type='histogram2dcontour',
    contours = list(
      showlabels = T,
      labelfont = list(
        family = 'Raleway',
        color = 'white'
      )
    ),
    hoverlabel = list(
      bgcolor = 'white',
      bordercolor = 'black',
      font = list(
        family = 'Raleway',
        color = 'black'
      )
    )
)

fig

2D Histogram Contour Subplot

library(plotly)

x <- rnorm(1000)
y <- rnorm(1000)
s <- subplot(
  plot_ly(x = x, color = I("black"), type = 'histogram'), 
  plotly_empty(), 
  plot_ly(x = x, y = y, type = 'histogram2dcontour', showscale = F), 
  plot_ly(y = y, color = I("black"), type = 'histogram'),
  nrows = 2, heights = c(0.2, 0.8), widths = c(0.8, 0.2), 
  shareX = TRUE, shareY = TRUE, titleX = FALSE, titleY = FALSE
)

fig <- layout(s, showlegend = FALSE)

fig