Archive 2019

R Programming for Public Policy Analysis

Early in 2019 I posted a short ‘listicle’ with some of the key reasons I think Python and/or R should become essential tools in a modern policy analyst’s toolkit.

The full article is here, but the headline points in the article were; R programming’s use across disciplines fitting in well with multidisciplinary policy analysis teams; the greater reproducibility/transparency written code provides; and the practical advantages that can come from automating repetitive bits of policy analysis (such as reporting results of policy analysis across multiple scenarios).…