Outline Plot
To create an outline plot using the geom_area() function, we create a basic area plot with transparency set to zero percent using the alpha parameter of the geom_area() function.
Syntax: geom_area( alpha=0 )
Example:
Here, is an outline plot with a green outline made using the geom_area() function.
R
# create dataframe set.seed(1234) df <- data.frame(value =round(c(rnorm(2000, mean=100, sd=7)))) # import libraries ggplot2 library(ggplot2) # create area plot # alpha as zero is used for converting area plot to line plot ggplot(df, aes(x=value)) + geom_area(stat = "bin", color = "#2bab53", alpha = 0) |
Output:
geom_area plot with areas and outlines in ggplot2 in R
An Area Plot helps us to visualize the variation in quantitative quantity with respect to some other quantity. It is simply a line chart where the area under the plot is colored/shaded. It is best used to study the trends of variation over a period of time, where we want to analyze the value of one variable change over a period of time or respect to any other variable.
In this article, we will discuss how to draw an area plot in the R Programming Language using the ggplot2 package. To do so we use the geom_area() function that helps us create the area plot layer.
Syntax: geom_area(mapping, data , stat , position)
Argument:
- mapping: determines the aesthetic mapping usually constructed with aes() function.
- data: determines the data frame to be used for mapping.
- stat: determines the statistical transformation.
- position: determines the position adjustment for overlapping points.
Example:
Here is a basic area plot using the geom_area() function.
R
# create dataframe set.seed(1234) df <- data.frame(value =round(c(rnorm(2000, mean=100, sd=7)))) # import libraries ggplot2 library(ggplot2) # create area plot ggplot(df, aes(x=value)) + geom_area(stat = "bin") |
Output: