পৃষ্ঠাসমূহ

Search Your Article

CS

 

Welcome to GoogleDG – your one-stop destination for free learning resources, guides, and digital tools.

At GoogleDG, we believe that knowledge should be accessible to everyone. Our mission is to provide readers with valuable ebooks, tutorials, and tech-related content that makes learning easier, faster, and more enjoyable.

What We Offer:

  • 📘 Free & Helpful Ebooks – covering education, technology, self-development, and more.

  • 💻 Step-by-Step Tutorials – practical guides on digital tools, apps, and software.

  • 🌐 Tech Updates & Tips – simplified information to keep you informed in the fast-changing digital world.

  • 🎯 Learning Support – resources designed to support students, professionals, and lifelong learners.

    Latest world News 

     

Our Vision

To create a digital knowledge hub where anyone, from beginners to advanced learners, can find trustworthy resources and grow their skills.

Why Choose Us?

✔ Simple explanations of complex topics
✔ 100% free access to resources
✔ Regularly updated content
✔ A community that values knowledge sharing

We are continuously working to expand our content library and provide readers with the most useful and relevant digital learning materials.

📩 If you’d like to connect, share feedback, or suggest topics, feel free to reach us through the Contact page.

Pageviews

Monday, February 6, 2017

R - Boxplots

Boxplots are a measure of how well distributed is the data in a data set. It divides the data set into three quartiles. This graph represents the minimum, maximum, median, first quartile and third quartile in the data set. It is also useful in comparing the distribution of data across data sets by drawing boxplots for each of them.

Boxplots are created in R by using the boxplot() function.

Syntax

The basic syntax to create a boxplot in R is −
boxplot(x, data, notch, varwidth, names, main)
Following is the description of the parameters used −
  • x is a vector or a formula.
  • data is the data frame.
  • notch is a logical value. Set as TRUE to draw a notch.
  • varwidth is a logical value. Set as true to draw width of the box proportionate to the sample size.
  • names are the group labels which will be printed under each boxplot.
  • main is used to give a title to the graph.

Example

We use the data set "mtcars" available in the R environment to create a basic boxplot. Let's look at the columns "mpg" and "cyl" in mtcars.
input <- mtcars[,c('mpg','cyl')]
print(head(input))
When we execute above code, it produces following result −
                   mpg  cyl
Mazda RX4         21.0   6
Mazda RX4 Wag     21.0   6
Datsun 710        22.8   4
Hornet 4 Drive    21.4   6
Hornet Sportabout 18.7   8
Valiant           18.1   6

Creating the Boxplot

The below script will create a boxplot graph for the relation between mpg (miles per gallon) and cyl (number of cylinders).
# Give the chart file a name.
png(file = "boxplot.png")

# Plot the chart.
boxplot(mpg ~ cyl, data = mtcars, xlab = "Number of Cylinders",
   ylab = "Miles Per Gallon", main = "Mileage Data")

# Save the file.
dev.off()
When we execute the above code, it produces the following result −
Box Plot using R

Boxplot with Notch

We can draw boxplot with notch to find out how the medians of different data groups match with each other.
The below script will create a boxplot graph with notch for each of the data group.
# Give the chart file a name.
png(file = "boxplot_with_notch.png")

# Plot the chart.
boxplot(mpg ~ cyl, data = mtcars, 
   xlab = "Number of Cylinders",
   ylab = "Miles Per Gallon", 
   main = "Mileage Data",
   notch = TRUE, 
   varwidth = TRUE, 
   col = c("green","yellow","purple"),
   names = c("High","Medium","Low")
)
# Save the file.
dev.off()
When we execute the above code, it produces the following result −
Box Plot with notch using R

No comments:

Post a Comment