> So what do you base your "eye" on? This article refers to everyday people who might look at "ordinary" data. We're not talking about government climatologis

> So what do you base your "eye" on? This article refers to everyday people who might look at "ordinary" data. We're not talking about government climatologists or financial analysts here. We're talking about people in Sales and Marketing who might want to know the demographics of their customers, perhaps by location for example. So in this case, I mean quite literally, use what you see in front of you to identify anomalies. Maybe you notice that the age bracket 18-24 year olds seems significantly higher than the rest of the population. I don't want to discredit the need for statisticians. I'm doing my PhD research on machine learning techniques. But in most practical scenarios, you don't need to resort to such a rigorous analysis. You can get quite far just using run-of-the-mill techniques (mean, standard deviation, normalization, what have you)