Stacked Area Line Plot

Stacked area line plots are used to compare the contributions of multiple categories over time. Let’s create one using sample data.

R

# Create sample data for stacked area line plot
set.seed(456)
df_stacked <- data.frame(
  Year = rep(2000:2020, each = 3),
  Category = rep(c("A", "B", "C"), times = 21),
  Value = cumsum(rnorm(63))
)
 
# Create a stacked area line plot
ggplot(df_stacked, aes(x = Year, y = Value, fill = Category)) +
  geom_area() +
  labs(
    title = "Stacked Area Line Plot",
    x = "Year",
    y = "Cumulative Value"
  ) +
  theme_minimal()

Output:

Area Line Plot in R

In this example, we use a stacked area line plot to compare the contributions of three categories (A, B, C) over time. The fill aesthetic is set to the Category variable, which stacks the areas based on categories. This type of plot is useful for visualizing how different categories contribute to the cumulative value over time.

Area Line Plot in R

Area line plots, commonly referred to as filled area plots, are effective data visualisation techniques in R for showing how data evolves over time. They are particularly helpful for displaying trends, distributions, and time series data. In this article, we’ll look at how to use the well-liked ggplot2 programme to generate area line plots in R.

Stacked Area Line Plot

R

Area Line Plot in R

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