What is a common characteristic of data that is considered "OK" in the Browse tool's data quality assessment?

A common characteristic of data that is considered "OK" in the Browse tool's data quality assessment is that the values are without leading or trailing whitespace. This absence of extra spaces around the data ensures that the data is clean and can be accurately processed. Leading or trailing whitespace can lead to errors during data analysis, such as affecting string comparisons or causing issues with data joins.

When data is clean and well-structured without extraneous spaces, it is easier to use in analysis and increases overall data quality. This clean data leads to more reliable results and facilitates better decision-making based on the analysis performed.