Scatter Plot Markers

Customizing scatter plot markers offers a versatile means to enhance the presentation of your visualizations. To achieve this, we pass the shape argument into the geom_point().

The following examples demonstrate how to utilize scatter plot markers using R and ggplot2.

library(datasets) 
library(ggplot2)
library(artyfarty)

Sample Shape = 21

options(repr.plot.width = 10, repr.plot.height = 8)

# scatter plot with shape = 21
scatter = ggplot( data = iris, 
                  aes( x = Sepal.Length, 
                       y = Sepal.Width, 
                       fill = Species)) + 
                  geom_point( shape=21, size=4,  color='black') + 
                  theme_bain() +  
                  labs( title = "Iris Scatter Plot: Theme_bain() ",
                        subtitle = "Scatter Plot using shape = 21") +
                  theme( text = element_text(size = 20) )
        
scatter

Sample Shape = 8

# scatter plot with shape = 8
scatter = ggplot( data = iris, 
                  aes( x = Sepal.Length, 
                       y = Sepal.Width, 
                       color = Species )) + 
                  geom_point( shape = 8, size = 4, fill = "seagreen") + 
                  theme_bain() +  
                  labs( title = "Iris Scatter Plot: Theme_bain() ",
                        subtitle = "Scatter Plot using shape = 8") +
                  theme(text = element_text(size = 20))
        
scatter

Sample Shape = 18

# scatter plot with shape = 18
scatter = ggplot( data = iris, 
                  aes( x = Sepal.Length, 
                       y = Sepal.Width, 
                       color = Species )) + 
                  geom_point( shape = 18, size = 6) + 
                  theme_bain() +  
                  labs( title = "Iris Scatter Plot: Theme_bain() ",
                        subtitle = "Scatter Plot using shape = 18") +
                  theme(text = element_text(size = 20))
        
scatter