Categories: Data Science

Learn R – How to Create Histogram using GGPlot

This article represents techniques (commands samples) which could be used to create histogram using ggplot2 package in R programming. Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.

Following is the summary of commands used to create histogram using ggplot:

  • Using simplistic ggplot and geom_histogram method
  • Using ggplot and geon_histogram command with attributes such as col, fill, alpha
  • Using ggplot, geom_histogram and  scale_fill_gradient method
Common Techniques to Create Histogram using ggplot2

In the code examples below, diamonds dataset from ggplot2 package is used. To work with examples below, load the ggplot2 library prior to executing the commands given below.

Following are some of the common attributes that could be used with geom_histogram method while creating a histogram using ggplot2 library:

  • col: Assigns border color for the bin
  • fill: Color used to fill the bins
  • alpha: Controls the fill transparency

Following is the most simplistic command which could be used to create a Histogram.

# Pay attention to usage of ggplot method with additional layer of geom_histogram() method
ggplot(diamonds, aes(x=price)) + geom_histogram() 

Following could be used to create Histogram with labels and additional attributes passed to geom_histogram method such as col, fill, alpha etc.

# Pay attention to usage of attributes such as col, fill, alpha. Also, note labs method 
# for assigning labels and title
ggplot(diamonds, aes(x=price)) + geom_histogram(col="red", fill="green", alpha=0.4) +
  labs (x="Price", y="Count", title="Histogram for Price")

Following commands could be used to assign varying color shades to bins (blue by default).

# Paint different bins with different shares of blue (default color) : Parameter aes(fill=..count..)
ggplot(diamonds, aes(x=price)) + geom_histogram(col="red", aes(fill=..count..)) +
  labs (x="Price", y="Count", title="Histogram for Price")

Following commands could be used assign different color shades varying from low to highest bin heights

# Paint different bins with different shades of custom colors using scale_fill_gradient method
ggplot(diamonds, aes(x=price)) + geom_histogram(col="red", aes(fill=..count..) ) +
  labs (x="Price", y="Count", title="Histogram for Price") +
  scale_fill_gradient("Count", low="yellow", high="red")     

 

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.

Recent Posts

Agentic Reasoning Design Patterns in AI: Examples

In recent years, artificial intelligence (AI) has evolved to include more sophisticated and capable agents,…

1 month ago

LLMs for Adaptive Learning & Personalized Education

Adaptive learning helps in tailoring learning experiences to fit the unique needs of each student.…

1 month ago

Sparse Mixture of Experts (MoE) Models: Examples

With the increasing demand for more powerful machine learning (ML) systems that can handle diverse…

2 months ago

Anxiety Disorder Detection & Machine Learning Techniques

Anxiety is a common mental health condition that affects millions of people around the world.…

2 months ago

Confounder Features & Machine Learning Models: Examples

In machine learning, confounder features or variables can significantly affect the accuracy and validity of…

2 months ago

Credit Card Fraud Detection & Machine Learning

Last updated: 26 Sept, 2024 Credit card fraud detection is a major concern for credit…

2 months ago