Categories: Data Science

Learn R – How to Create Multiple Density Plots using GGPlot

This article represents code samples which could be used to create multiple density curve or plots using ggplot2 package in R programming language. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.

Multiple Density Curves/Graphs with GGPlot

The code samples given below works for “diamonds” dataset which is loaded as part of ggplot2 package. Following are two different types of plots shown below:

Density plots with multiple fills
Density plot with single fill

Density Plots with Multiple Fills:Following code represents density plots with multiple fills. Pay attention to the “fill” parameter passed to “aes” method.

# Create density plots for single variable filtered by fill condition
# In example below, fill is assigned to cut
ggplot(diamonds, aes(x=carat, fill=cut)) + geom_density() + 
  labs(title="Density Plot", x="Carat")

Density Plot with Single Fill: Following plot demonstrates the density plot with single fill.

# Create density plot for single variable
ggplot(diamonds, aes(x=carat)) + geom_density(col="red", fill="yellow", alpha=0.4) + 
  labs(title="Density Plot", x="Carat")

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Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

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Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.