Very well done! Now, our previous report showed the categories as columns and the time periods as rows. We can switch this, showing the time periods as columns and the categories as rows. The report will look like this:
| category_name | overall_category_revenue | revenue_2016 | revenue_2017 | revenue_2018 |
|---|---|---|---|---|
| Confections | 167357.26 | 29685.56 | 82657.75 | 55013.95 |
| Meat/Poultry | 163022.37 | 28813.66 | 80975.12 | 53233.59 |
| Produce | 99984.57 | 13885.78 | 54940.76 | 31158.03 |
Take a look at the query:
SELECT category_name, SUM(oi.amount) AS overall_category_revenue, SUM(CASE WHEN order_date >= '2016-01-01' AND order_date < '2017-01-01' THEN oi.amount ELSE 0.0 END) AS revenue_2016, SUM(CASE WHEN order_date >= '2017-01-01' AND order_date < '2018-01-01' THEN oi.amount ELSE 0.0 END) AS revenue_2017, SUM(CASE WHEN order_date >= '2018-01-01' AND order_date < '2019-01-01' THEN oi.amount ELSE 0.0 END) AS revenue_2018 FROM order_items oi JOIN orders o ON oi.order_id = o.order_id JOIN products p ON p.product_id = oi.product_id JOIN categories c ON c.category_id = p.category_id GROUP BY c.category_id, category_name;
This time we don't group by time periods. Instead, we group by product categories. On the other hand, we have to define separate columns, using SUM(CASE WHEN...) for each period we want to compare.
This report format is useful when we have many categories to compare but few time periods.
Show the category revenue for each quarter of 2017. Show the following columns: category_name, overall_category_revenue, revenue_Q1, revenue_Q2, revenue_Q3, and revenue_Q4.
You can check if a given order was placed in Q1 by using:
SUM(CASE
WHEN EXTRACT(quarter FROM order_date) = 1
THEN oi.amount
ELSE 0.0
END) AS revenue_Q1
Remember about filtering the rows for orders from 2017.
