How to create 2d histogram using plotly in R

This recipe helps you create 2d histogram using plotly in R

Recipe Objective

How to create a 2d histogram using plotly in R?

Histogram plots a graph of continuous value variable with their corresponding frequencies. The data is plotted as bars of different heights. The difference between bar plot and histogram is that the bar charts are plotted for discrete data, whereas a histogram is plotted for continuous data. 2D Histogram is needed when the data set is huge in a bivariate distribution. 2D Histogram is used for visualizing the areas where the frequency of variables is dense. Plotly is an interface to an open source JavaScript charting library Plot_ly() function is used to plot histogram using plotly in R. This recipe demonstrates an example on a 2d histogram.

Step 1 - Install the necessary package and library

install.packages("plotly") library(plotly)

Step 2 - Define a data frame

data <- data.frame(x = c(2, 4, 6, 8, 10, 12), y = c(10, 20, 30, 40, 50, 60)) data

Step 3 - Plot a 2d histogram

Syntax for 2D histogram using plotly - plot_ly(data,x,y) where, data - defined dataframe x,y - input data

figure <- plot_ly(data, x = ~x, y = ~y) figure_1 <- subplot( figure %>% add_markers(alpha = 0.2), figure %>% add_histogram2d() ) figure_1 {"mode":"full","isActive":false}

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