Combine 2 SQL query (PostgreSQL) - sql

Question

I'm trying to find out the bounce rate of the top 10 UTM source. There is no column for bounces in the table so I have to query it. I've created a query to find the TOP 10 UTM source and another query to find bounce rate. I just can't seem to figure out how to combine both of this queries together.
The database table contains:
1) cuuid -cookie ID
2) session - session
3) duration
4) Each row represents a page view
SELECT
TOP 10 regexp_replace(regexp_substr(url, 'utm_source\\=[^\\&]*'), 'utm_source='),
COUNT(DISTINCT(cuuid)) as "Total Unique Visitors",
COUNT(DISTINCT(session)) as "Total Unique Sessions",
COUNT(*) as "Total Page Views",
CAST(COUNT(DISTINCT(session)) AS FLOAT)/CAST(COUNT(DISTINCT(cuuid)) AS FLOAT) AS "Average Sessions per Visitor",
CAST(COUNT(*) AS FLOAT)/CAST(COUNT(DISTINCT(session)) AS FLOAT) AS "Average Pageview per Session",
ROUND(SUM(CASE WHEN duration < 0 THEN 0 ELSE duration END)::FLOAT/COUNT(DISTINCT(session))) AS "Average Duration per Session"
FROM table1
WHERE url ILIKE '%%utm_source%%'
AND ts>='2018-05-01'
AND ts < '2018-06-01'
GROUP BY 1
ORDER BY 2 DESC;
--add bounce rate query into first--
SELECT
CAST((CAST((SUM(bounces)*100) AS FLOAT)/CAST(COUNT(*) AS FLOAT)) AS VARCHAR(5)) + '%' as "Bounce rate"
FROM (
SELECT
MIN(ts) AS "time_first_viewed",
cuuid,
session,
COUNT(*) as "number_of_events",
CASE WHEN count(*) = 1 THEN 1 ELSE 0 END AS bounces
FROM table1
WHERE ts>='2018-05-01'
AND ts < '2018-06-01'
GROUP BY cuuid, session)
For the final result, I need it to be in the same table. And the columns are:
1)UTM Source
2)Unique Visitor
3)Unique Sessions
4)Page View
5)Session/Visitor
6)Pageview/session
7)Avg Duration
8)Bounce Rate

Answer 1

you just do like the below with comma :
hope this works
Select * from
(SELECT
TOP 10 regexp_replace(regexp_substr(url, 'utm_source\\=[^\\&]*'), 'utm_source='),
COUNT(DISTINCT(cuuid)) as "Total Unique Visitors",
COUNT(DISTINCT(session)) as "Total Unique Sessions",
COUNT(*) as "Total Page Views",
CAST(COUNT(DISTINCT(session)) AS FLOAT)/CAST(COUNT(DISTINCT(cuuid)) AS FLOAT) AS "Average Sessions per Visitor",
CAST(COUNT(*) AS FLOAT)/CAST(COUNT(DISTINCT(session)) AS FLOAT) AS "Average Pageview per Session",
ROUND(SUM(CASE WHEN duration < 0 THEN 0 ELSE duration END)::FLOAT/COUNT(DISTINCT(session))) AS "Average Duration per Session"
FROM table1
WHERE url ILIKE '%%utm_source%%'
AND ts>='2018-05-01'
AND ts < '2018-06-01'
GROUP BY 1
ORDER BY 2 DESC)table1
,
(SELECT
CAST((CAST((SUM(bounces)*100) AS FLOAT)/CAST(COUNT(*) AS FLOAT)) AS VARCHAR(5)) + '%' as "Bounce rate"
FROM (
SELECT
MIN(ts) AS "time_first_viewed",
cuuid,
session,
COUNT(*) as "number_of_events",
CASE WHEN count(*) = 1 THEN 1 ELSE 0 END AS bounces
FROM table1
WHERE ts>='2018-05-01'
AND ts < '2018-06-01'
GROUP BY cuuid, session))table2
you defines alias names to your columns and its done.