How to make interactive plot using ggplot2 and plotly?

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In this video, i have demonstrated the use of the ggpltoly() function of plotly package to make interactive plots. ggplotly function is an interface to convert ggplot object to plotly.js object. there is no need to learn javascript. ggplot2 and little practice of using ggpotly() function is sufficient.

In this video, I have demonstrated the use of ggplotly() for density plot, histogram, boxplot(), violin plot, cviolin_boxplot(overlayed geoms), and scatter plot.

#code used


Load the ggplot2 library for creating static plots
library(ggplot2)

Create a density plot using ggplot with Iris dataset
p = ggplot(iris, aes(Sepal.Length, fill = Species)) +
geom_density(alpha = 0.6) +
theme_classic()

Display the static density plot
p

Load the plotly library for creating interactive plots
library(plotly)

Convert the static ggplot density plot to an interactive plot using ggplotly
ggplotly(p)

Create a histogram using ggplot with Iris dataset
p = ggplot(iris, aes(Sepal.Length, fill = Species)) +
geom_histogram(alpha = 0.6) +
theme_classic()

Display the static histogram plot
p

Convert the static ggplot histogram plot to an interactive plot using ggplotly
ggplotly(p)

Create a boxplot using ggplot with Iris dataset
p = ggplot(iris, aes(Species, Sepal.Length, fill = Species)) +
geom_boxplot(alpha = 0.6) +
theme_classic()

Display the static boxplot
p

Convert the static ggplot boxplot to an interactive plot using ggplotly
ggplotly(p)

Create a violin plot using ggplot with Iris dataset
p = ggplot(iris, aes(Species, Sepal.Length, fill = Species)) +
geom_violin(alpha = 0.6) +
theme_classic()

Display the static violin plot
p

Convert the static ggplot violin plot to an interactive plot using ggplotly
ggplotly(p)

Create a scatter plot using ggplot with Iris dataset
p = ggplot(iris, aes(Sepal.Width, Sepal.Length, color = Species)) +
geom_point(alpha = 0.6) +
theme_classic()

Display the static scatter plot
p

Convert the static ggplot scatter plot to an interactive plot using ggplotly
ggplotly(p)

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