The Snapshot data engine has recently been upgraded with several new features and capabilities. Briefly, these include –
- Additional documentation tools on database creation, including statistics useful for checking that data loaded correctly (totals and extremes for each variable), as well as enhanced dictionary elements including the vintage and measurement unit of variables
- Sensitivity analysis, which is used as a deep-dive tool for trade area analysis with three components – how does retrieval methodology affect the trade area (edge effects), how does the trade area size affect each variable, and how big is the effect of minor differences in the location of the center?
- New text output functions, including LOOKUP() and CHOOSE(). Lookup is used for pre-existing tables such as Panorama labels, while Choose is used for on-the-fly text output of classified data. Now, instead of showing the dominant segment as a number (e.g. 01), the text string 01 One Percenters can be output in its place. Likewise, Choose() allows the attachment of labels to a classification, so for example, a crime score could be output as the text string “High” instead of its actual index.
- Expanded and new mathematical functions that include benchmarking tools (quartile and decile), comparison tools (compare and uniqueness), and the ability to compute the value of multiple points in a distribution by extending the median functions to include values other than 50%.
- Trade area statistical functions. Min() and Max() functions, which are useful for topography and risk scores, but can be used for any variable where the internal range of a variable within a trade area is of interest. Additional functions include Average(), StDev(), Variance(), and CV(). These functions are useful for evaluating the degree to which a variable fluctuates within a study area.
Interested in learning more about Snapshot? Head here to read more about our API and it’s capabilities.