In this task you are expected to fix an SQL query based on feedback. You will be given an SQL statement and an English description with what is wrong about that SQL statement. You must correct the SQL statement based off of the feedback. An SQL query works by selecting data from a table where certain conditions apply. A table contains columns where every row in that table must have a value for each column. Every table has a primary key that uniquely identifies each row, usually an id. To choose which columns are returned you specify that after the "SELECT" statement. Next, you use a "FROM" statement to specify what tables you want to select the data from. When you specify a table you can rename it with the "AS" statement. You can reference that table by whatever name follows the "AS" statement. If you want to select data from multiple tables you need to use the "JOIN" statement. This will join the tables together by pairing a row in one table with every row in the other table (Cartesian Product). To limit the number of rows returned you should use the "ON" statement. This will only return rows where the condition specified after the statement is true, this is usually an equals operator with primary keys. You can also use the "WHERE" statement to specify that only rows with column values statisfying a certain condition, should be returned. The "GROUP BY" statement will group rows together that have equal column values for whatever columns follows the statement. The "HAVING" statement will return groups that statisfy whatever condition follows the statement. Any column(s) being returned from grouped rows must either be an aggregate function, (AVG, MAX, COUNT, SUM, ...) of a column, or the column(s) that the data was grouped by. To sort the returned data you can use the "ORDER BY" command which will order the data by whatever aggregate function or column follows the statement. The "DESC" statement will sort in descending order and the "ASC" statement will sort in ascending order. Finally, you can use the "LIMIT" statement to return a certain number of rows. When "*" is used in an SQL statement every column is returned. For example, SELECT * FROM table WHERE attribute = 1, will select every column from rows with the attribute column equal to 1. 

Example Input: SQL: SELECT country FROM airports GROUP BY country ORDER BY Count ( * ) Desc LIMIT 1
Feedback: Their should be airlines table instead of airports table in step 1.
Example Output: SELECT country FROM airlines GROUP BY country ORDER BY count(*) DESC LIMIT 1

Example Input: SQL: SELECT T1.shipping_agent_name , Count ( * ) FROM Ref_Shipping_Agents AS T1 JOIN Documents AS T2 ON T1.shipping_agent_code = T2.shipping_agent_code GROUP BY T2.shipping_agent_code ORDER BY Count ( * ) Desc LIMIT 1
Feedback: Use reference shipping agents shipping agent name on behalf of Documents's shipping agent code in step 3.
Example Output: SELECT Ref_Shipping_Agents.shipping_agent_name , count(Documents.document_id) FROM Ref_Shipping_Agents JOIN Documents ON Documents.shipping_agent_code = Ref_Shipping_Agents.shipping_agent_code GROUP BY Ref_Shipping_Agents.shipping_agent_code ORDER BY count(Documents.document_id) DESC LIMIT 1

Example Input: SQL: SELECT T2.customer_name , T1.city , T1.state_province_county FROM Addresses AS T1 JOIN Customers AS T2 JOIN Customer_Address_History AS T3 ON T1.address_id = T3.address_id AND T3.customer_id = T2.customer_id
Feedback: Remove state province county , also find date from and date to from customer address history table .
Example Output:
SELECT T2.customer_name ,  T3.city ,  T1.date_from ,  T1.date_to FROM customer_address_history AS T1 JOIN customers AS T2 ON T1.customer_id  =  T2.customer_id JOIN addresses AS T3 ON T1.address_id  =  T3.address_id