Cohort Analysis by month - MySQL -


hi trying cohort analysis year 2017. have following 2 tables

  1. firstpurchases - determine first purchase client has made greater 1. reason have credit card verification purchases less 1 usd upon first transaction.

  2. transaction - table records purchasing , refund transactions customers.

the sql have written following 

drop table if exists `firstpurchases`; create table `firstpurchases` ( select account_id,min(created_date) transaction_date `transaction` transaction.amount > 1 group  account_id );  delete `firstpurchases` year(transaction_date) = 2016;   select u.monthoffset month,    sum(s.monthoffset = 0) d0,   sum(s.monthoffset = 1) d1,   sum(s.monthoffset = 2) d2,   sum(s.monthoffset = 3) d3,   sum(s.monthoffset = 4) d4,   sum(s.monthoffset = 5) d5,   sum(s.monthoffset = 6) d6,   sum(s.monthoffset = 7) d7,   sum(s.monthoffset = 8) d8,   sum(s.monthoffset = 9) d9,   sum(s.monthoffset = 10) d10,   sum(s.monthoffset = 11) d11,   sum(s.monthoffset = 12) d12  (  select     account_id,     month(transaction_date) monthoffset   `firstpurchases`   transaction_date >= curdate() - datediff(curdate(),'2017-01-01') ) u left join (     select distinct     transaction.account_id,     period_diff(date_format(transaction.created_date,'%y%m'),date_format(firstpurchases.transaction_date,'%y%m')) monthoffset     `transaction`     left join `firstpurchases`  on (transaction.account_id = `firstpurchases`.account_id)     `transaction`.created_date >= curdate() - datediff(curdate(),'2017-01-01') ) s on s.account_id = u.account_id group u.monthoffset;

although confident d0 correct. rest of numbers feel inflated me. have gone through exercise manually , figures dont match up. can maybe cast eye , see went wrong ? appreciated.

so turns out bit of dumbass , query correct. forgot filter out refunds in left join. if wants use template cohort analysis there u go :)


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