There is an obvious reason to choose Julia:
it's faster than other scripting languages, allowing
you to have the rapid development of Python/MATLAB/R
while producing code that is as fast as C/Fortran"
However, it's a community effort and is somewhat non-trivial to get up and running with. Once Julia gets better precompilation/binary packaging support, common workflows like plotting will improve dramatically.
$ julia -e '@time (using GR; plot(rand(20)))'
3.931433 seconds (10.38 M allocations: 521.292 MiB, 6.44% gc time)
$ julia -e '@time (using Plots; plot(rand(20)))'
19.498644 seconds (57.26 M allocations: 2.844 GiB, 8.07% gc time)
$ julia --compile=min -e '@time (using GR; plot(rand(20)))'
0.375836 seconds (368.83 k allocations: 20.190 MiB, 1.65% gc time)
$ julia --compile=min -e '@time (using Plots; plot(rand(20)))'
4.302867 seconds (6.41 M allocations: 371.485 MiB, 5.07% gc time)
Simple plots take a fraction of a second in Python/R/Matlab. I feel like many people don't realize how crucial this is. Sub-second plotting makes working with data interactive. If it takes more than 5 seconds to produce simple plots, that's no longer interactive. Imagine if your debugger took half a minute to show you the value of a variable while trying to find a complex bug. You'd start pulling your hair out.
If in Julia it takes me half a minute at least (dumping to text file, reading it in somewhere else and then plotting it), Julia is going to remain firmly in the "check this language again in 2 years time if the plotting story has become sensible yet".
What I do is wait one second for the RCall.jl package to load and then use R's ggplot2 library to plot. Works really well, especially since I am really familiar with ggplot2.
Also pretty much into the unix philosophy whereby tools should do only one thing and do it well.
This is understandable, because julia is not intended to be used that way. You are supposed to "live" inside the repl. However, I prefer tools that are flexible enough that can be used comfortably in non-intended ways.