SAS' Ghohui Wu shows you how to construct spatial weights matrices based on contiguity and distance measures, then shows how PROC CSPATIALREG automates spatial regression model selection.
In the previous section of this series we discussed ways of assessing the relationship between variables. This week we change the focus to the shape and sparsity of our dataset. One area of Explanatory Data Analysis which we’ve missed so far is the impact of missingness in data. Having missing
Underperforming schools can cast a shadow over the community. Not only do students suffer, but the downstream effects of poor performance can be felt across school funding, teacher retention, morale and the local economy. When one of the top 20 K-12 school districts in the US received a “C” ranking
