In the store dataset, the target entity is orderlines.
Currently, we can generate a problem like
- Predict the number of records with <products.price> greater than 22.99 in next 1m days
SELECT count(*) from orderlines inner join products where products.price > 22.99
Which basically predicts how many individual products with a price > 22.99 will be ordered in a month.
With a having operation, we would be able to generate problems like
- Predict the number of records having average <products.price> greater than 22.99 in the next 1m days
SELECT count(orderlines.orderid) from orderlines inner join products group by orderlines.orderid having avg(products.price) > 22.99
Which predicts how many orders there will be such that average product price in each order is > 22.99 in a month.
In the store dataset, the target entity is orderlines.
Currently, we can generate a problem like
SELECT count(*) from orderlines inner join products where products.price > 22.99Which basically predicts how many individual products with a price > 22.99 will be ordered in a month.
With a having operation, we would be able to generate problems like
SELECT count(orderlines.orderid) from orderlines inner join products group by orderlines.orderid having avg(products.price) > 22.99Which predicts how many orders there will be such that average product price in each order is > 22.99 in a month.