For this post, we need to load the following libraries:
We create a simple dataset with 2 columns, randomly generated thanks
To create an area chart with R, all we need to do is add the
geom_area() function from ggplot2.
To add a color gradient in place of the light blue, we need to use the ggpattern library and define which colors will be used for the graph.
The bottom color is
white and the top color is
To add transparency to the graphic, simply use colors that are naturally transparent. For example, here we change white to transparent grey.
The bottom color is a transpaent
light grey (#00000010)
and the top color is
If we take what we’ve seen above and add other features like changing
theme, removing axis lines etc., you end up with an
even more beautiful graph.
In this case, we: - add a black line for the upper part of the area chart - change the theme with the hrbrthemes library - remove axis lines
ggplot(df, aes(xValue, yValue)) + geom_area_pattern(data = df, pattern = "gradient", fill = "#00000000", pattern_fill = "#00000000", pattern_fill2 = "magenta") + geom_line(data = df, colour = "black", linewidth = 0.8) + geom_point(shape = 16, size = 4.5, colour = "purple") + geom_point(shape = 16, size = 2.5, colour = "white") + ggtitle("Area chart with a color gradient and line with data points") + theme_bw() + theme(plot.title = element_text(size = 14), panel.border = element_blank(), axis.line.x = element_line(), text = element_text(size = 12), axis.ticks = element_blank(), axis.text.y = element_text(margin = margin(0,15,0,0, unit = "pt"))) + scale_alpha_identity() + labs(x="",y="")