Hi,
I have times series data in a 'price' table:
price(id_price, price, id_product, created, modified)
Prices are polled daily and a new 'price' row is created only if the
price of id_product changes, else modified is updated to now().
Now, I'd like to make a graph of average prices per week, per
id_product. As some prices don't vary much, distribution would not be
ideal if I simply 'group by extract(week from p.modified)'.
Ideally I'd generate_series() a list of weeks between min(p.created) and
max(p.modified) and then average prices 'group by p.modified < week'.
What would be the best way to tackle this?
Thanks,
