WITH t1 AS (SELECT TOP 100 * FROM Posts )...

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--SELECT TOP 100 *
--FROM Users
--WHERE LOWER(Location) LIKE '%latvia%'

--SELECT Location, COUNT(Id) loc_count
--FROM Users
--WHERE LOWER(Location) LIKE '%latvia%' OR Location LIKE '%Riga %' OR Location LIKE '%Rīga %' OR Location LIKE '%Riga,%'
--GROUP BY Location
--ORDER BY loc_count DESC

--WITH valid_users AS
--(SELECT 

--SELECT Users.Id, COUNT(Badges.Id) AS badge_count
--FROM Users
--INNER JOIN Badges
--ON 
--Users.Id = Badges.UserId
--WHERE LOWER(Location) LIKE '%latvia%' OR Location LIKE '%Riga %' OR Location LIKE '%Rīga %' OR Location LIKE '%Riga,%'
--GROUP BY Users.Id
--HAVING COUNT(Badges.Id) > 100
--ORDER BY COUNT(Badges.Id) DESC;


--GROUP BY user_id
--HAVING COUNT(badges_id) > 100
--ORDER BY badge_count DESC


--SELECT unique_users_editors.*, Body
--FROM unique_users_editors
--INNER JOIN Recent_posts
--ON unique_users_editors.user_id = Recent_posts.Id


        
        
      
--WITH t1 AS
--(SELECT TOP 100 *
--FROM Posts
--INNER JOIN PostNotices
--ON Posts.Id = PostNotices.PostId
--)

--SELECT TOP 100 * 
--FROM PostNotices
--WHERE CreationDate BETWEEN '2021-01-01' AND '2021-12-31'

--SELECT *
--FROM Posts
--WHERE OwnerUserId = '1857266'
--ORDER BY CreationDate

--SELECT DISTINCT Name from Badges
--ORDER BY Name

WITH t1 AS
(SELECT TOP 100 *
FROM Posts
)

--ParsedTags AS (
    SELECT 
        Id,
        value AS tag
    FROM 
        t1
    CROSS APPLY 
        STRING_SPLIT(Tags, ' ')
--)

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