Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out.

With the proliferation of social indicator databases, the need for powerful techniques to study patterns of change has grown. In this paper, the utility of spatial data analytical methods such as ...

Bayesian exploratory data analysis (EDA) methods and diagnostics for model selection and model assessment are considered for each case. Special attention is given to tests of the parametric modeling ...