In this task you are expected to provide an SQL statement from an english description of what that SQL statement does. The description may include multiple steps but you should only ouput one SQL statement that accomplishes every step. 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: Step 1: find the number of rows of each value of County_Id in county table.
Step 2: find County_name in county table whose corresponding value in step 1 is greater than or equals 2
Example Output: SELECT County_name FROM county GROUP BY County_Id HAVING Count ( * ) > = 2

Example Input: Step 1: find the number of rows in weather table whose min_humidity greater than 8.
Step 2: find the max_temperature_f of weather table for which max_sea_level_pressure_inches less than 50.
Step 3: show the rows that are in both the results of step 1 and the results of step 2
Example Output: SELECT Count ( * ) FROM weather WHERE min_humidity > 8 INTERSECT SELECT max_temperature_f FROM weather WHERE max_sea_level_pressure_inches < 50

Example Input: Step 1: For each row in Residents table, find corresponding rows in Residents_Services table and in Customer_Events table.
Step 2: find Customer_Event_ID, Customer_Events's date_moved_in, date_requested of the results of step 1
Example Output:
SELECT T3.Customer_Event_ID , T3.date_moved_in , T2.date_requested FROM Residents AS T1 JOIN Residents_Services AS T2 ON T2.date_moved_in = T1.date_moved_in JOIN Customer_Events AS T3 ON T1.date_moved_in = T3.date_moved_in