Example 2

In the preceding examples, we've presented some pretty basic and straightforward data profiling exercises. Typically, once you've become somewhat familiar with your data, having added some context (though some basic profiling), one would extend the profiling process trying to look at the data in additional ways using techniques such as the ones mentioned in the beginning of this chapter.

Defining new data points based upon the existing data, performing comparisons, looking at contrasts (between data points), identifying tendencies, and using dispersions to establish the variability of the data.

Let's now review some of these options for extended profiling using simple examples as well as the same source data that was used in the previous section examples.

Definitions and explanations

One method of extending your data profiling is to add to the existing data by creating additional definition or explanatory attributes (in other words, add new fields to the file). This means that you...