Now that you're familiar with table operations, let's answer more questions using this data! Often, we want to perform multiple operations - sorting, filtering, or others - in order to turn a table we have into something more useful. You can do these operations one by one, e.g. first_step = original_tbl.where("col1", are.equal_to(12)) second_step = first_step.sort('col2', descending=True) However, since the value of the expression original_tbl.where( "col1", are.equal_to (12)) is itself a table, you can just call a table method on it: original_tbl.where("col1", are.equal_to (12)).sort('col2', descending=True) You should organize your work in the way that makes the most sense to you, using informative names for any intermediate tables you create. Question 3.1. Suppose that you would like to visit a farmers' market in Orange County, NC that sells wine, eggs, coffee, and takes credit cards ( Credit ). Use the farmers_markets table to produce a new table shopping_trip that can help you to succinctly decide where to go. 33 ] : shopping_trip = shopping_trip