The types package in Flux allows for more robust data querying by enabling filtering on column types, reducing the risk of runtime errors that can occur when dealing with unknown or mismatched data types. This is achieved through the `isType` function, which can be used to check the type of values within a dataset, ensuring that only valid data is processed and aggregated. By leveraging this functionality, developers can write more reliable and maintainable queries, even in complex data pipelines where data types are uncertain or variable.