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This query is marked as a draft
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by
KylieTastic
.
I must not go back to spending too much time editing, so lets keep on the average of those with similar edit counts
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SQL
select count(rc_id) as edits, count(rc_id)/28 as edits_per_day, actor_name from recentchanges_userindex left join actor on rc_actor = actor_id where (rc_timestamp >= DATE_ADD(NOW(), INTERVAL -28 DAY) ) and (rc_bot = 0) and (rc_type < 5) and actor_name IN ('Starcheerspeaksnewslostwars', 'William Avery', 'Marcocapelle', 'CAPTAIN RAJU', 'Flyer22 Frozen', 'Simeon', 'Dormskirk', 'Lord Cornwallis', 'Mandarax', 'KylieTastic') group by rc_actor order by edits_per_day desc; select count(rc_id)/280 as avg_edits_per_day from recentchanges_userindex left join actor on rc_actor = actor_id where (rc_timestamp >= DATE_ADD(NOW(), INTERVAL -28 DAY) ) and (rc_bot = 0) and (rc_type < 5) and actor_name IN ('Starcheerspeaksnewslostwars', 'William Avery', 'Marcocapelle', 'CAPTAIN RAJU', 'Flyer22 Frozen', 'Simeon', 'Dormskirk', 'Lord Cornwallis', 'Mandarax', 'KylieTastic') ; select count(rc_id) as edits, count(rc_id)/28 as edits_per_day, actor_name from recentchanges_userindex left join actor on rc_actor = actor_id where (rc_timestamp >= DATE_ADD(NOW(), INTERVAL -28 DAY) ) and (rc_bot = 0) and (rc_type < 5) and actor_name IN ('KylieTastic', 'Wilhelmina Will', 'Charles Matthews', 'Werldwayd', 'Discospinster', 'Mlaffs', 'Wizardman', 'Shellwood', 'Drmies', 'Richhoncho') group by rc_actor order by edits_per_day desc; select count(rc_id)/280 as avg_edits_per_day from recentchanges_userindex left join actor on rc_actor = actor_id where (rc_timestamp >= DATE_ADD(NOW(), INTERVAL -28 DAY) ) and (rc_bot = 0) and (rc_type < 5) and actor_name IN ('KylieTastic', 'Wilhelmina Will', 'Charles Matthews', 'Werldwayd', 'Discospinster', 'Mlaffs', 'Wizardman', 'Shellwood', 'Drmies', 'Richhoncho') ;
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