How to Create a Scatter Plot with Geom Jitter() Function

How can we create a scatter plot using the geom_jitter() function?

What is the purpose of adding random noise to each point in the plot?

Creating a Scatter Plot with Geom Jitter() Function

The geom_jitter() function in R is used to create a scatter plot and then adds a small amount of random noise to each point in the plot.

The purpose of adding random noise to each point is to make the points easier to distinguish and find on the plot.

Creating a scatter plot is an essential data visualization technique to understand the relationship between two variables in a dataset. By using the geom_jitter() function in R, you can easily generate a scatter plot with added random noise to enhance the visual clarity of the plotted points.

In a scatter plot, the independent variable is typically represented on the X-axis, while the dependent variable is plotted on the Y-axis. Adding random noise with the geom_jitter() function helps prevent overplotting and makes individual data points more visible within the plot.

By utilizing the geom_jitter() function, you can create visually appealing scatter plots that effectively communicate the relationship between your variables. Experiment with different parameters of the function to customize the appearance of the scatter plot according to your data visualization needs.