So, how do we add context to data? Is it merely select Insert, then Data Context?

No, it's not that easy (but it's not impossible either).

Once you have identified (or pulled together) your big data source (or at least a significant amount of data), how do you go from mountains of raw big data to summarizations that can be used as input to create valuable data visualizations, helping you to further analyze that data and support your conclusions?

The answer is through data profiling.

Data profiling involves logically getting to know the data you think you may want to visualize through query, experimentation, and review.

Following the profiling process, you can then use the information you have collected to add context (and/or apply new perspectives) to the data. Adding context to data requires the manipulation of data to perhaps reformat, adding calculations, aggregations, or additional columns or re-ordering, and so on.

Finally, you will be ready to visualize (or picture...