Uploaded July 2026 | Updated September 2026, 3 weeks ago
# First Steps in R: Boxplot | Create Your First Box Plot in R
Want to learn how to create a **boxplot in R**? This beginner-friendly tutorial shows you how to generate your **first box plot** using just a few lines of R code.
Starting with a simple dataset, you'll learn how to create a basic boxplot and then customise it by adding a **title**, **x-axis label**, and **y-axis label**. Boxplots are one of the most useful graphs for **exploratory data analysis (EDA)** because they summarise the distribution of your data and help identify potential outliers.
## In this tutorial you'll learn how to:
* Create your first boxplot in R
* Use the `boxplot()` function
* Add axis labels (`xlab` and `ylab`)
* Add a descriptive plot title (`main`)
* Visualise the spread of a dataset
* Begin exploring data graphically using R
This tutorial is ideal for:
* Biomedical Science students
* Biology, Chemistry and Pharmacy students
* Medical students
* Engineering and STEM students
* Researchers and postgraduate students
* Teachers and lecturers introducing R programming
* Anyone learning R for data analysis
Boxplots are widely used in scientific research, laboratory experiments, clinical studies and statistical analysis to summarise numerical data and detect potential outliers.
👍 If you found this tutorial helpful, please **Like**, **Subscribe**, and **Share** it with fellow students and researchers.
## Related tutorials
* R for Beginners
* Mean and Standard Deviation in R
* Histograms in R
* Scatter Plots in R
* Finding Outliers in R
* Exploratory Data Analysis (EDA)
* Descriptive Statistics in R
#RStats #RProgramming #RForBeginners #Boxplot #DataVisualization #Statistics #ExploratoryDataAnalysis #EDA #BiomedicalScience #DataAnalysis #RStudio #STEM
# First Steps in R: Boxplot | Create Your First Box Plot in R
Want to learn how to create a **boxplot in R**? This beginner-friendly tutorial shows you how to generate your **first box plot** using just a few lines of R code.
Starting with a simple dataset, you'll learn how to create a basic boxplot and then customise it by adding a **title**, **x-axis label**, and **y-axis label**. Boxplots are one of the most useful graphs for **exploratory data analysis (EDA)** because they summarise the distribution of your data and help identify potential outliers.
## In this tutorial you'll learn how to:
* Create your first boxplot in R
* Use the `boxplot()` function
* Add axis labels (`xlab` and `ylab`)
* Add a descriptive plot title (`main`)
* Visualise the spread of a dataset
* Begin exploring data graphically using R
This tutorial is ideal for:
* Biomedical Science students
* Biology, Chemistry and Pharmacy students
* Medical students
* Engineering and STEM students
* Researchers and postgraduate students
* Teachers and lecturers introducing R programming
* Anyone learning R for data analysis
Boxplots are widely used in scientific research, laboratory experiments, clinical studies and statistical analysis to summarise numerical data and detect potential outliers.
👍 If you found this tutorial helpful, please **Like**, **Subscribe**, and **Share** it with fellow students and researchers.
## Related tutorials
* R for Beginners
* Mean and Standard Deviation in R
* Histograms in R
* Scatter Plots in R
* Finding Outliers in R
* Exploratory Data Analysis (EDA)
* Descriptive Statistics in R
#RStats #RProgramming #RForBeginners #Boxplot #DataVisualization #Statistics #ExploratoryDataAnalysis #EDA #BiomedicalScience #DataAnalysis #RStudio #STEM
