Saving plots (ggsave) in R Programming - Time & Space Complexity
When saving plots using ggsave, it is helpful to understand how the time to save grows as the plot size or complexity increases.
We want to know how the saving time changes when the plot has more details or larger dimensions.
Analyze the time complexity of saving a plot with ggsave.
library(ggplot2)
p <- ggplot(mtcars, aes(x=wt, y=mpg)) + geom_point()
ggsave(filename = "plot.png", plot = p, width = 10, height = 8, dpi = 300)
This code creates a scatter plot and saves it as a PNG file with specified size and resolution.
Look at what happens when saving the plot.
- Primary operation: Rendering all plot elements (points, axes, labels) to pixels.
- How many times: Each pixel in the output image is processed once during saving.
The time to save grows with the number of pixels in the image, which depends on width, height, and resolution.
| Input Size (pixels) | Approx. Operations |
|---|---|
| 10 x 8 inches at 72 dpi (~720 x 576 pixels) | ~414,720 |
| 10 x 8 inches at 300 dpi (~3000 x 2400 pixels) | ~7,200,000 |
| 20 x 16 inches at 300 dpi (~6000 x 4800 pixels) | ~28,800,000 |
Pattern observation: Doubling width and height quadruples the number of pixels, so saving time grows roughly with the area of the image.
Time Complexity: O(n)
This means the time to save the plot grows linearly with the number of pixels in the output image.
[X] Wrong: "Saving time depends only on the number of data points in the plot."
[OK] Correct: The saving time mainly depends on the image size and resolution, not just data points, because every pixel must be processed.
Understanding how saving time grows helps you explain performance when working with graphics and large images in data projects.
"What if we change the dpi from 300 to 600? How would the time complexity change?"