What method in Power Query Editor is best for identifying outliers in a text column?

Identifying outliers in a text column using Power Query Editor is best approached by examining the top and bottom entries in the value distribution. The value distribution provides a clear view of the most frequently occurring values as well as those that are least common. By analyzing the extremes of this distribution, you can spot unusual or unexpected entries that may not fit well with the rest of the data, thereby highlighting potential outliers.

In contrast, evaluating the minimum and maximum values in the column profile might not provide meaningful insights in a text context since these statistical measures are more applicable to numerical data. Additionally, while distinct entry values can give a unique count of entries, they do not necessarily indicate outliers within a set of text values. Unique entries, similarly, offer counts of values that appear only once but lack the context needed to identify extremes in distribution effectively. Thus, focusing on top and bottom entries allows for a more insightful analysis of potential outliers in a text column.