In the social sciences many still use M$Word and versioning myfile-v1.docx myfile-v2.docx myfile-v2-introdeleted.docx. I wanted a better way, I think it has something to do with git and diff.
Location, location, location. Choropleths are hot for a reason. When dealing with geography and housing why stop at bar charts, the map really makes my data quickly comprehensible to humans.
When we are comparing Turing complete languages it's not about what compiles faster or to the cleanest machine code, it's about what the developer can think in and write faster, including the availability of libraries. A couple of times I wrote some ruby scripts for this project. I just like the language best for some things. Love the syntax.
What are my other choices for a vectorized statistics language. Professor was pushing SAS Jump (or was that SPSS) with a menu-driven point and click approach. (Reproducibility can still be accomplished, you publish the script generated by all your clicks.) But I want to type everything, great online tutorials for R. I think I made the right pick.