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.

[Q]: find the Unsure_rate, Consider_rate, Oppose_rate of candidate table ordered ascending by Consider_rate
[A]: SELECT Unsure_rate , Consider_rate , Oppose_rate FROM candidate ORDER BY Consider_rate Asc


[Q]: Step 1: For each row in station_company table, find corresponding rows in company table and in gas_station table.
Step 2: find Location, Representative_Name of the results of step 1 ordered descending by Market_Value.
Step 3: only show the first 3 rows of the results
[A]: SELECT T2.Location , T2.Representative_Name FROM company AS T1 JOIN gas_station AS T2 JOIN station_company AS T3 ON T1.Company_ID = T3.Company_ID AND T3.Station_ID = T2.Station_ID ORDER BY T1.Market_Value Desc LIMIT 3


[Q]: Step 1: For each row in car_names table, find corresponding rows in model_list table and in cars_data table.
Step 2: find model_list's Model of the results of step 1 whose Weight greater than 3500.
Step 3: For each row in car_makers table, find the corresponding rows in model_list table.
Step 4: find model_list's Model of the results of step 3 whose car_makers's Maker equals Ford Motor Company.
Step 5: show the rows that are in the results of step 2 but not in the results of step 4
[A]:
SELECT T1.Model FROM model_list AS T1 JOIN car_names AS T2 ON T1.Model = T2.Model JOIN cars_data AS T3 ON T2.MakeId = T3.Id WHERE T3.Weight > 3500 EXCEPT SELECT T1.Model FROM car_makers AS T4 JOIN model_list AS T1 ON T4.Id = T1.Maker WHERE T4.Maker = "Ford Motor Company"