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How To Draw Scatter Plot In R 2023

Written by Ben Javu Sep 11, 2022 ยท 3 min read
How To Draw Scatter Plot In R 2023

Table of Contents

Scatter Plot in R Programming
Scatter Plot in R Programming from www.tutorialgateway.org
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Introduction

Data visualization is an essential part of data analysis. It helps us to understand the patterns and relationships between different variables in the dataset. Scatter plot is one of the most popular types of visualization used to display the relationship between two continuous variables. In this tutorial, we will learn how to draw scatter plot in R 2023.

What is a Scatter Plot?

A scatter plot is a graphical representation of the relationship between two continuous variables. It is used to display the pattern or relationship between the two variables. The x-axis represents one variable, and the y-axis represents the other variable. Each point on the plot represents the value of the two variables for a particular observation.

Steps to Draw Scatter Plot in R

To draw a scatter plot in R, we need to follow the below steps:

Step 1: Install and Load ggplot2 Package

We need to install and load the ggplot2 package in R to create the scatter plot. ``` install.packages("ggplot2") library(ggplot2) ```

Step 2: Create a Data Frame

We need to create a data frame that contains the variables we want to plot. For example, let's create a data frame that contains two variables, "age" and "income." ``` age <- c(25, 30, 35, 40, 45, 50, 55, 60) income <- c(40000, 50000, 60000, 70000, 80000, 90000, 100000, 110000) df <- data.frame(age, income) ```

Step 3: Draw the Scatter Plot

Now, we can draw the scatter plot using the ggplot() function in R. ``` ggplot(df, aes(x = age, y = income)) + geom_point() ```

Customization of Scatter Plot

We can customize the scatter plot by adding different layers, such as title, axis labels, and color.

Add Title and Axis Labels

``` ggplot(df, aes(x = age, y = income)) + geom_point() + ggtitle("Age vs. Income") + xlab("Age") + ylab("Income") ```

Change Color of Points

``` ggplot(df, aes(x = age, y = income)) + geom_point(color ="blue") + ggtitle("Age vs. Income") + xlab("Age") + ylab("Income") ```

Conclusion

Scatter plot is a useful tool for visualizing the relationship between two continuous variables. In this tutorial, we have learned how to draw scatter plot in R 2023 using the ggplot2 package. We have also seen how to customize the scatter plot by adding different layers. With this knowledge, you can create your own scatter plot in R and gain valuable insights from your data.

Question & Answer

Q: What is the use of scatter plot? A: Scatter plot is used to display the relationship between two continuous variables. It helps us to understand the pattern or trend between the two variables. Q: What is the package used to draw scatter plot in R? A: The ggplot2 package is used to draw scatter plot in R. scatter plot Image source: https://www.statisticshowto.com/probability-and-statistics/regression-analysis/scatter-plot/ ggplot2 Image source: https://ggplot2.tidyverse.org/
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