This blog will highlight SuAVE analysis capabilities and demonstrate how your insights from exploring a dataset in SuAVE can be stitched together into analysis pathways. Basically, we want to tell a data analysis story, and illustrate it with references to patterns you can examine on your own. We invite readers to click on the links and open SuAVE at the annotation points, to follow our analysis, or to take the analysis in other directions. I am not a sociologist, biologist, geologist, or art historian (as some of the datasets we are going to analyze might suggest) – I am just playing with the data. So if you take the analysis in other directions and share what you found – that will be great.