Update website/docs/terms/data-wrangling.md

Co-authored-by: Grace Goheen <[email protected]>

website/docs/terms/data-wrangling.md

@@ -152,7 +152,7 @@ For nested data types such as JSON, you’ll want to check out the JSON parsing
 
 dbt offers [generic tests](/docs/build/data-tests#more-generic-tests) in every dbt project that allows you to validate accepted, unique, and null values. They also allow you to validate the relationships between tables and that the primary key is unique.
 
-If you can’t find what you need with the generic tests, you can download an additional dbt testing package called [dbt_expectations](https://hub.getdbt.com/calogica/dbt_expectations/0.1.2/) that dives even deeper into how you can test the values in your columns. This package has useful tests like `expect_column_values_to_be_in_type_list`, `expect_column_values_to_be_between`, and `expect_column_value_lengths_to_equal`. 
+If you can’t find what you need with the generic tests, you can download an additional dbt testing package called [dbt_expectations](https://hub.getdbt.com/calogica/dbt_expectations/0.1.2/) that dives even deeper into how you can test the values in your columns. This package has useful data tests like `expect_column_values_to_be_in_type_list`, `expect_column_values_to_be_between`, and `expect_column_value_lengths_to_equal`. 
 
 ## Conclusion