The amazing tabplot package creates the tableplot feature for visualizing huge chunks of data. This is a great example of creative data visualization that is resource lite and extremely fast in a first look at the data. (note- The tabplot package is being used and table plot function is being used . The TABLEPLOT package is different and is NOT being used here).
library(ggplot2)
data(diamonds)
library(tabplot)
tableplot(diamonds)
system.time(tableplot(diamonds))
visualizing a 50000 row by 10 variable dataset in 0.7 s is fast !!
click on screenshot to see it
and some say R is slow 😉
Note I used a free Windows Amazon EC2 Instance for it-
See screenshot for hardware configuration
the best thing is there is a handy GTK GUI for this package. You can check it out at
DECISION STATS 
Have loved this package ever since I first encountered it. I notice that the latest version restricts the sorting to a single variable whereas the older versions allowed successive sorts by, for example, a quantitative variable followed by some qualitative ones which enabled a breakdown of the quantitative variable by subgroups of the qualitative ones. Anyone know of a way round this with the new version?
Time on Amazon micro instance Windows was
user system elapsed
0.66 0.11 0.89
Configuration of Windows Micro Instance is 615 mb RAM,Intel Xeon , 64 bit OS Windows Server- I updated the above
Thanks!
That is pretty fast!
What is the system config that this is being run on?