Table: `Department`

    +-------------+---------+
    | Column Name | Type    |
    +-------------+---------+
    | id          | int     |
    | revenue     | int     |
    | month       | varchar |
    +-------------+---------+
    (id, month) is the primary key of this table.
    The table has information about the revenue of each department per month.
    The month has values in ["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"].

Write an SQL query to reformat the table such that there is a department id column and a revenue column for each month.

Return the result table in any order.

The query result format is in the following example.

Example 1:

    Input:
    Department table:
    +------+---------+-------+
    | id   | revenue | month |
    +------+---------+-------+
    | 1    | 8000    | Jan   |
    | 2    | 9000    | Jan   |
    | 3    | 10000   | Feb   |
    | 1    | 7000    | Feb   |
    | 1    | 6000    | Mar   |
    +------+---------+-------+
    Output:
    +------+-------------+-------------+-------------+-----+-------------+
    | id   | Jan_Revenue | Feb_Revenue | Mar_Revenue | ... | Dec_Revenue |
    +------+-------------+-------------+-------------+-----+-------------+
    | 1    | 8000        | 7000        | 6000        | ... | null        |
    | 2    | 9000        | null        | null        | ... | null        |
    | 3    | null        | 10000       | null        | ... | null        |
    +------+-------------+-------------+-------------+-----+-------------+
    Explanation: The revenue from Apr to Dec is null.
    Note that the result table has 13 columns (1 for the department id + 12 for the months).