Combine generate series and count into one query - postgresql

Question

Postgres version 9.4.18, PostGIS Version 2.2.
I removed some of the details about the tables from this question because I doubt it's needed to answer the question. I can add those details back if necessary.
Desired result:
I want a total count for each week of year and hour of day (0100 to 5223). I'm able to successfully generate a series of 0100 to 5223 (actually up to 5300), and I'm able to get a total count for each week of year and hour of day individually, but i'm unable to combine the queries so that weeks of year/hours of day with a zero county still show up. I want to combine the count result with the generate_series (and ideally divide that result by 30) to get something like below.
MM-DD | count_not_zero | count_not_zero_divided_by_30
-------+----------------+----------------------------
0100 | 10 | 33.3
0101 | 0 | 0
0102 | 0 | 0
...
0123 | 0 | 0
0200 | 3 | 10
0201 | 10 | 33.3
...
5223 | 20 | 66.6
Here are my individual queries that work...that I want to combine:
SELECT DISTINCT f_woyhh(d::timestamp) as woyhh
FROM generate_series(timestamp '2018-01-01', timestamp '2018-12-31', interval '1 hour') d
GROUP BY woyhh
ORDER by woyhh asc;
SELECT dt, count(*) FROM
(SELECT f_woyhh((time)::timestamp at time zone 'utc' at time zone 'america/chicago')
AS dt,
EXTRACT(YEAR FROM time) AS ctYear, count(*)
AS ct
FROM counties c
INNER JOIN ltg_data d ON ST_contains(c.the_geom, d.ltg_geom)
WHERE countyname = 'Milwaukee' AND state = 'WI' AND EXTRACT(YEAR from time) > '1987' GROUP BY dt, EXTRACT(YEAR from time))
AS count group by dt;
The result from the second query above is (and skips zero count dt, which I don't want):
dt | count
-------+-------
0100 | 10
0104 | 5
0108 | 4
...
Conclusion:
I'm trying to combine the above working individual queries into a single query that provides a three a three column result--woyhh, count, and count divided by 30. And I want to include woyhh that have zero in the county, so that I have a complete set of woyhh.
Thanks for any help!!

Answer 1

I found the answer. I'll be posting it tomorrow, but I wanted to put this on today so no one unnecessarily works on this question. I apologize for the formatting.
WITH CTE_Dates AS (SELECT DISTINCT f_woyhh(d::timestamp) as dt
FROM generate_series(timestamp '2018-01-01', timestamp '2018-12-31', interval '1 hour') d),
CTE_WeeklyHourlyCounts AS (SELECT dt, count(*) as ct
FROM (SELECT f_woyhh((time)::timestamp at time zone 'utc' at time zone 'america/chicago') as dt,
EXTRACT(YEAR FROM time) as ctYear, count(*) as ct
FROM counties c
INNER JOIN ltg_data d on ST_contains(c.the_geom, d.ltg_geom)
WHERE countyname = 'Milwaukee' AND state = 'WI' AND EXTRACT(YEAR from time) > '1987'
GROUP BY dt,
EXTRACT(YEAR from time)) as count group by dt),
CTE_FullSTats AS (SELECT CTE_Dates.dt as dt, CAST(CTE_WeeklyHourlyCounts.ct as decimal) as ct
FROM CTE_Dates LEFT JOIN CTE_WeeklyHourlyCounts ON CTE_WeeklyHourlyCounts.dt = CTE_Dates.dt
GROUP BY CTE_Dates.dt, CTE_WeeklyHourlyCounts.ct, CTE_WeeklyHourlyCounts.dt) SELECT dt, COALESCE(ct, 0)
AS count, round(((COALESCE(ct,0) * 100) / 30),0) as percent FROM CTE_FullStats
GROUP BY dt, ct ORDER BY dt;