Summary
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 ...
Get Mastering Julia now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
