how to select a value based on multiple criteria - sql

Question

I'm trying to select some values based on some proprietary data, and I just changed the variables to reference house prices.
I am trying to get the total offers for houses where they were sold at the bid or at the ask price, with offers under 15 and offers * sale price less than 5,000,000.
I then want to get the total number of offers for each neighborhood on each day, but instead I'm getting the total offers across each neighborhood (n1 + n2 + n3 + n4 + n5) across all dates and the total offers in the dataset across all dates.
My current query is this:
SELECT DISTINCT(neighborhood),
DATE(date_of_sale),
(SELECT SUM(offers)
FROM `big_query.a_table_name.houseprices`
WHERE ((offers * accepted_sale_price < 5000000)
AND (offers < 15)
AND (house_bid = sale_price OR
house_ask = sale_price))) as bid_ask_off,
(SELECT SUM(offers)
FROM `big_query.a_table_name.houseprices`) as
total_offers,
FROM `big_query.a_table_name.houseprices`
GROUP BY neighborhood, DATE(date_of_sale) LIMIT 100
Which I am expecting a result like, with date being repeated throughout as d1, d2, d3, etc.:
but am instead receiving
I'm aware that there are some inherent problems with what I'm trying to select / group, but I'm not sure what to google or what tutorials to look at in order to perform this operation.
It's querying quite a bit of data, and I want to keep costs down, as I've already racked up a smallish bill on queries.
Any help or advice would be greatly appreciated, and I hope I've provided enough information.
Here is a sample dataframe.
neighborhood date_of_sale offers accepted_sale_price house_bid house_ask
bronx 4/1/2022 3 323 320 323
manhattan 4/1/2022 4 244 230 244
manhattan 4/1/2022 8 856 856 900
queens 4/1/2022 15 110 110 135
brooklyn 4/2/2022 12 115 100 115
manhattan 4/2/2022 9 255 255 275
bronx 4/2/2022 6 330 300 330
queens 4/2/2022 10 405 395 405
brooklyn 4/2/2022 4 254 254 265
staten_island 4/3/2022 2 442 430 442
staten_island 4/3/2022 13 195 195 225
bronx 4/3/2022 4 650 650 690
manhattan 4/3/2022 2 286 266 286
manhattan 4/3/2022 6 356 356 400
staten_island 4/4/2022 4 361 361 401
staten_island 4/4/2022 5 348 348 399
bronx 4/4/2022 8 397 340 397
manhattan 4/4/2022 9 333 333 394
manhattan 4/4/2022 11 392 325 392

Answer 1

I think that this is what you need.
As we group by neighbourhood we do not need DISTINCT.
We take sum(offers) for total_offers directly from the table and bids from a sub-query which we join to so that it is grouped by neighbourhood.
SELECT
h.neighborhood,
DATE(h.date_of_sale) AS date_,
s.bids AS bid_ask_off,
SUM(h.offers) AS total_offers,
FROM
`big_query.a_table_name.houseprices` h
LEFT JOIN
(SELECT
neighborhood,
SUM(offers) AS bids
FROM
`big_query.a_table_name.houseprices`
WHERE offers * accepted_sale_price < 5000000
AND offers < 15
AND (house_bid = sale_price OR
house_ask = sale_price)
GROUP BY neighborhood) s
ON h.neighborhood = s.neighborhood
GROUP BY
h.neighborhood,
DATE(date_of_sale),
s.bids
LIMIT 100;
Or the following which modifies more the initial query but may be more like what you need.
SELECT
h.neighborhood,
DATE(h.date_of_sale) AS date_,
s.bids AS bid_ask_off,
SUM(h.offers) AS total_offers,
FROM
`big_query.a_table_name.houseprices` h
LEFT JOIN
(SELECT
date_of_sale dos,
neighborhood,
SUM(offers) AS bids
FROM
`big_query.a_table_name.houseprices`
WHERE offers * accepted_sale_price < 5000000
AND offers < 15
AND (house_bid = sale_price OR
house_ask = sale_price)
GROUP BY
neighborhood,
date_of_sale) s
ON h.neighborhood = s.neighborhood
AND h.date_of_sale = s.dos
GROUP BY
h.neighborhood,
DATE(date_of_sale),
s.bids
LIMIT 100;