Which command would you use to filter data based on specific conditions?

The command used to filter data based on specific conditions is "where." This command allows you to include records that meet certain criteria by applying a Boolean expression to the fields in your data. For instance, you can specify conditions like "fieldname=value" or more complex expressions combining multiple fields and values. This is particularly valuable when you need a refined dataset that only includes relevant entries for your analysis.

In contrast, the "stats" command is primarily used for performing statistical calculations on the dataset, such as aggregating values or generating summaries, rather than directly filtering records. The "count" command is typically a specific aggregation or function within the stats command that returns the number of occurrences of a particular value, which doesn't directly involve applying conditional filters. The "search" command is indeed used for searching and filtering data but relies more on search terms than on the detailed conditional logic that the "where" command provides. Therefore, while "search" can filter data, the "where" command offers more precise and flexible filtering capabilities based on various conditions.