Any analysis, no matter how clever or imaginative, is only as good as the underlying data. The previous chapters have touched on the underlying data for visualization. This chapter will discuss different methods for preparing data for visualization. We will demonstrate how to use Spotfire's data-wrangling and calculation capabilities as one method.
There are many different tools and methods available for preparing and storing data for visualization. Spotfire has built-in data wrangling—this is a good choice for ad hoc data analysis, but when should you use it over any other method?
When creating production-or enterprise-grade analyses in Spotfire, it's usually good practice to do as much heavy lifting as possible in the source systems by using data virtualization or putting the data into some kind of warehouse (in this, I include big...
