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Sourcing data from facts.memberships for Mar 2011 | |
Sourcing data from facts.memberships for Mar 2010 | |
Payment Month # Pmts Payment $ Avg Pmt $ Reg Pmt $ Def Pmt $ % Def $ | |
------------- ------- ---------- ---------- ---------- ---------- -------- | |
Mar 2010 94872 2730284 28.78 2638824 91460 0.03350 | |
Mar 2011 76999 2428158 31.53 2368200 59938 0.02468 |
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Sourcing data from facts.memberships for May 2011 | |
Sourcing data from facts.memberships for May 2010 | |
Payment Month # Pmts Payment $ Avg Pmt $ Reg Pmt $ Def Pmt $ % Def $ | |
------------- ------- ---------- ---------- ---------- ---------- -------- | |
May 2010 24762 766049 30.94 734853 31196 0.04072 | |
May 2011 29020 910980 31.39 860595 50385 0.05531 |
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Sourcing data from facts.memberships for Jun 2011 | |
Sourcing data from facts.memberships for Jun 2010 | |
Payment Month # Pmts Payment $ Avg Pmt $ Reg Pmt $ Def Pmt $ % Def $ | |
------------- ------- ---------- ---------- ---------- ---------- -------- | |
Jun 2010 36534 1149691 31.47 1096726 52965 0.04607 | |
Jun 2011 34697 1064319 30.67 1019424 44885 0.04217 |
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Sourcing data from facts.memberships for Jul 2011 | |
Sourcing data from facts.memberships for Jul 2010 | |
Payment Month # Pmts Payment $ Avg Pmt $ Reg Pmt $ Def Pmt $ % Def $ | |
------------- ------- ---------- ---------- ---------- ---------- -------- | |
Jul 2010 22185 773460 34.86 734053 39407 0.05095 | |
Jul 2011 20281 699990 34.51 664949 35041 0.05006 |
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Sourcing data from facts.memberships for Aug 2011 | |
Sourcing data from facts.memberships for Aug 2010 | |
Payment Month # Pmts Payment $ Avg Pmt $ Reg Pmt $ Def Pmt $ % Def $ | |
------------- ------- ---------- ---------- ---------- ---------- -------- | |
Aug 2010 22023 786798 35.73 657753 129045 0.16401 | |
Aug 2011 21692 709476 32.71 623986 85490 0.12050 |
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Sourcing data from facts.memberships for Sep 2011 | |
Sourcing data from facts.memberships for Sep 2010 | |
Payment Month # Pmts Payment $ Avg Pmt $ Reg Pmt $ Def Pmt $ % Def $ | |
------------- ------- ---------- ---------- ---------- ---------- -------- | |
Sep 2010 21981 822654 37.43 491615 331039 0.40240 | |
Sep 2011 24989 938509 37.56 538024 400485 0.42672 |
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Sourcing data from facts.memberships for Oct 2011 | |
Sourcing data from facts.memberships for Oct 2010 | |
Payment Month # Pmts Payment $ Avg Pmt $ Reg Pmt $ Def Pmt $ % Def $ | |
------------- ------- ---------- ---------- ---------- ---------- -------- | |
Oct 2010 34017 1313515 38.61 425800 887715 0.67583 | |
Oct 2011 35298 1278274 36.21 441042 837232 0.65497 |
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Sourcing data from facts.memberships for Nov 2011 | |
Sourcing data from facts.memberships for Nov 2010 | |
Payment Month # Pmts Payment $ Avg Pmt $ Reg Pmt $ Def Pmt $ % Def $ | |
------------- ------- ---------- ---------- ---------- ---------- -------- | |
Nov 2010 32171 1186334 36.88 290652 895682 0.75500 | |
Nov 2011 28318 1054941 37.25 231613 823328 0.78045 |
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Sourcing data from facts.memberships for Dec 2010 | |
Sourcing data from facts.memberships for Dec 2009 | |
Payment Month # Pmts Payment $ Avg Pmt $ Reg Pmt $ Def Pmt $ % Def $ | |
------------- ------- ---------- ---------- ---------- ---------- -------- | |
Dec 2009 77993 2229775 28.59 2162510 67255 0.03016 | |
Dec 2010 81479 2284552 28.04 2206707 77845 0.03407 |
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begin; | |
/* | |
Problem: I don't want the application to really care about how the data is | |
structured in the database. The application / view code needs to work | |
with the data in a sane format, without worrying about normalization, joins, | |
eager fetching, etc. | |
DB Schema Overview: | |
orders |