3D scatterplot with regions for different variables in R

Question

I have a dataset and each entry contains data of a form ( x0,x1,y0,y1 ,...).

Suppose that x0,x1 are cost and y0,y1 are time.

I want to plot a scatterplot where for each entry a "bubble" is used to display the area captured by ( x0,x1,y0,y1 ) in the 2D space, ie, in the x axis the region [x0,x1] and in the y axis the region [y0,y1] .

Update

For instance, consider this frame

x0   x1   y0   y1
1    2    2    3 
1.5  2    2    3.5

How can I plot these areas?

Also, what if I want to plot 3D areas of the form

x0   x1   y0   y1   z0   z1
1    2    2    3    3    3.5
1.5  2    2    3.5  2.5  3

I tried to do this using geom_point() but it does not seem to work. Neither bubble charts can do the job.

@Philip, suggested to use geom_rect() , and it might work for the 2D space, but what about 3D?

Any ideas?

Update 2

Following Philip's comment, here is my code:

library(plot3D)
df <- read.csv(...)
box3D(x0=df$V1, x1 = df$V2, y0=df$V3, y1=df$V4, z0=df$V5, z1=df$V6,
      col = rainbow(n = 8, alpha = 0.1), 
      border = "black", lwd = 2, phi = 0, theta=40,
      ticktype="detailed")

Answer 1

This question would be easier to answer in general if you provided some sample data, but since you mention geom_point I conclude you are using ggplot2 (good start!), so probably the answer is geom_rect :

ggplot(df, aes(xmin = x1, xmax = x2, ymin = y1, ymax = y2)) +
geom_rect()

Or something like that.