Ben Young
Ben Young
January 17, 2020

First, you must interrogate and understand how the demographic data was collected. This can provide limitations, nuance, and context which is important. For example, if it is inferred data, you may interpret your outcomes differently.

Then break apart your dataset into meaningful demographic clusters, i.e. 18-24. And analyze your data that way. How does each demographic differ from the rest? Are there trends or patterns.

Can you predict what a demographic will do? Are you beginning to establish norms?

How about the opposite, what isnโ€™t shown in the data? What conclusions canโ€™t you make from it? What isnโ€™t being said.