# Specify colors for each value of the hue variable
palette <- c(ORANGE = "orange", WHITE = "wheat")
# Create the bar plot
ggplot(pumpkins, aes(y = Variety, fill = Color)) +
geom_bar(position = "dodge") +
scale_fill_manual(values = palette) +
labs(y = "Variety", fill = "Color") +
theme_minimal()
```
Now that we have an idea of the relationship between the binary categories of color and the larger group of sizes, let's explore logistic regression to determine a given pumpkin's likely color.