In this chapter, we looked at the terminal I/O in Julia, and also accessed text-based and binary disk files. We discussed how to access and work with data stored in a structured manner in files such as CSV, XML, and HDF5 and then introduced the important topic of data arrays and data frames.
We then continued with a review of some statistical methods applied to data frames available from the RDatasets package, including elementary hypothesis testing and general linear methods.
Statistics has been a particular success within the Julia community and the extremely productive group JuliaStats is an excellent reference for this work, with its own web pages at https://github.com/JuliaStats and a Google Groups forum julia-stats. Also, many of the projects are using https://readthedocs.org/ to provide quite extensive documentation. For example, the guidance on the basic statistics can be found at http://statsbasejl.readthedocs.org.
In the next chapter, we will look at application of Julia to...
