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.
The query result format is in the following example:
Department table: +------+---------+-------+ | id | revenue | month | +------+---------+-------+ | 1 | 8000 | Jan | | 2 | 9000 | Jan | | 3 | 10000 | Feb | | 1 | 7000 | Feb | | 1 | 6000 | Mar | +------+---------+-------+
Result table: +------+-------------+-------------+-------------+-----+-------------+ | id | Jan_Revenue | Feb_Revenue | Mar_Revenue | ... | Dec_Revenue | +------+-------------+-------------+-------------+-----+-------------+ | 1 | 8000 | 7000 | 6000 | ... | null | | 2 | 9000 | null | null | ... | null | | 3 | null | 10000 | null | ... | null | +------+-------------+-------------+-------------+-----+-------------+
Note that the result table has 13 columns (1 for the department id + 12 for the months).
# Write your MySQL query statement below
select id,
sum(case when month = 'jan' then revenue else null end) as Jan_Revenue,
sum(case when month = 'feb' then revenue else null end) as Feb_Revenue,
sum(case when month = 'mar' then revenue else null end) as Mar_Revenue,
sum(case when month = 'apr' then revenue else null end) as Apr_Revenue,
sum(case when month = 'may' then revenue else null end) as May_Revenue,
sum(case when month = 'jun' then revenue else null end) as Jun_Revenue,
sum(case when month = 'jul' then revenue else null end) as Jul_Revenue,
sum(case when month = 'aug' then revenue else null end) as Aug_Revenue,
sum(case when month = 'sep' then revenue else null end) as Sep_Revenue,
sum(case when month = 'oct' then revenue else null end) as Oct_Revenue,
sum(case when month = 'nov' then revenue else null end) as Nov_Revenue,
sum(case when month = 'dec' then revenue else null end) as Dec_Revenue
from department
group by id
order by id
