To successfully prepare and model data, the data miner needs to be aware of the properties of the data manifold. In this chapter, the outline of a tool for automatically generating data survey reports for this purpose is described. Such a report is used as a starting point for data understanding, acts as documentation of the data, and can easily be redone if necessary. The main focus is on describing the cluster structure and the contents of the clusters. The described system combines linguistic descriptions (rules) and statistical measures with visualizations. Whereas rules and mathematical measures give quantitative information, the visualizations give qualitative information on the data sets, and help the user to form a mental model of the data based on the suggested rules and other characterizations.