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select  to_char(month, 'MM/YYYY') as monthyear, CASTto_char(delivered AS FLOAT)/1024^4/1024^3, 'FM999,999,999,990.999') as "delivered" from datasets_stats_monthly where dataset='tigge-lam' and month>=date'201301012013-01-01' order by month ;
select  to_char(month, 'MM/YYYY') as monthyear, CASTto_char(retrieved AS FLOAT)/1024^4/1024^3, 'FM999,999,999,990.999') as "retrieved" from datasets_stats_monthly where dataset='tigge-lam' and month>=date'201301012013-01-01' order by month

select  to_char(month, 'MM/YYYY') as monthyear, requests as "user requests" from datasets_stats_monthly where dataset='tigge-lam' and month>=date'201301012013-01-01' order by month;

SELECT to_char(month, 'MM/YYYY') as monthyear, count(DISTINCT username) as "active users"
FROM  users_stats_monthly 
WHERE dataset='tigge-lam' AND month>=date'201301012013-01-01' 
AND username IN (
      SELECT username                        
      FROM  users_stats_monthly
      WHERE dataset='tigge-lam'
      GROUP BY username
      HAVING sum(requests) >= 1
      )
GROUP BY month
ORDER BY month;

SELECT profile_country.name, count(DISTINCT auth_user.username) as total_users
    FROM  profile_country
         RIGHT JOIN profile_profile ON profile_profile.country_id = profile_country.id
         RIGHT JOIN auth_user ON auth_user.id = profile_profile.user_id
         RIGHT JOIN users_stats_monthly ON users_stats_monthly.username = auth_user.username
    WHERE users_stats_monthly.dataset='tigge-lam' and users_stats_monthly.month>=date'201301012013-01-01'
GROUP BY profile_country.name
HAVING count(DISTINCT auth_user.username)>=21
ORDER BY total_users DESC