I did some image processing work with D and didn't find the
lack of specific D tools for visualization a big issue.
There is some advantage to being able to perform visualization
tasks in the same lanaguage as you do the data processing work,
but I wouldn't this this would be a major obstacle.
I personally prefer the model where I create a tool that takes
some input and provides output in a suitable format that I can
load to a proper statistical environment (R or Julia ) for
visualisation and manipulation. Therefore I would rather write a
tool that performs a single task optimally and pipes its output
to a different tool for another task. This way I can use the
tools and allow for flexible pipelines.
rawdata -> clean -> QC –> to format Y –> to format X -> tool A ->
tool B-> visualize
George
