SQL Basket Analysis grouping query









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I am trying to build a query to create a basket analysis of products based on their type grouping. They have two levels of grouping beyond the product ids.



Dept level 
1
2
3
4


and buying group level



MA 
M
MC
WA
W
WC
KA
KC
K


the hierarchy is



  • 1 > W, WC

  • 2 > M, MC

  • 3 > K, KC

  • 4 > MA, KA, WA

right now the query I have



Select 
i.buying_group,
Sum(d.sales),
Sum(d.units),
count(distinct d.trans_nbr) transaction_count
From
sales_details d, item_data i, (select trans_nbr from sales_details where item_dept = 1 group by trans_nbr) main_group
Where
d.trans_nbr = main_group.trans_nbr
d.item_nbr = i.item_nbr
group by i.buying_group;


Right now I get the data that I need for most of the buying groups but because this is being run at the dept level it does not give me the correct basket information for W and WC. Is there a way to do this at the dept level that would show if the customer bought something from either of these groups and had the other in their basket without double counting it?



the results at the moment are something like this



buyyin_group Sum(sales) Sum(units) transaction_count
MA 100 5 4
M 75 3 3
MC 56 1 1
WA 48 3 2
W 250 6 6
WC 200 9 9
KA 164 7 5
KC 400 12 7
K 521 14 12 `









share|improve this question























  • Sample data and desired results would really help.
    – Gordon Linoff
    Nov 8 at 16:05










  • Please don't join tables using , notation. It was replaced by explicit joins in ANSI-92 (over 25 years ago). INNER JOIN, LEFT JOIN, etc, are your friends. Whomever taught you otherwise should be re-educated.
    – MatBailie
    Nov 8 at 16:09















up vote
0
down vote

favorite












I am trying to build a query to create a basket analysis of products based on their type grouping. They have two levels of grouping beyond the product ids.



Dept level 
1
2
3
4


and buying group level



MA 
M
MC
WA
W
WC
KA
KC
K


the hierarchy is



  • 1 > W, WC

  • 2 > M, MC

  • 3 > K, KC

  • 4 > MA, KA, WA

right now the query I have



Select 
i.buying_group,
Sum(d.sales),
Sum(d.units),
count(distinct d.trans_nbr) transaction_count
From
sales_details d, item_data i, (select trans_nbr from sales_details where item_dept = 1 group by trans_nbr) main_group
Where
d.trans_nbr = main_group.trans_nbr
d.item_nbr = i.item_nbr
group by i.buying_group;


Right now I get the data that I need for most of the buying groups but because this is being run at the dept level it does not give me the correct basket information for W and WC. Is there a way to do this at the dept level that would show if the customer bought something from either of these groups and had the other in their basket without double counting it?



the results at the moment are something like this



buyyin_group Sum(sales) Sum(units) transaction_count
MA 100 5 4
M 75 3 3
MC 56 1 1
WA 48 3 2
W 250 6 6
WC 200 9 9
KA 164 7 5
KC 400 12 7
K 521 14 12 `









share|improve this question























  • Sample data and desired results would really help.
    – Gordon Linoff
    Nov 8 at 16:05










  • Please don't join tables using , notation. It was replaced by explicit joins in ANSI-92 (over 25 years ago). INNER JOIN, LEFT JOIN, etc, are your friends. Whomever taught you otherwise should be re-educated.
    – MatBailie
    Nov 8 at 16:09













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I am trying to build a query to create a basket analysis of products based on their type grouping. They have two levels of grouping beyond the product ids.



Dept level 
1
2
3
4


and buying group level



MA 
M
MC
WA
W
WC
KA
KC
K


the hierarchy is



  • 1 > W, WC

  • 2 > M, MC

  • 3 > K, KC

  • 4 > MA, KA, WA

right now the query I have



Select 
i.buying_group,
Sum(d.sales),
Sum(d.units),
count(distinct d.trans_nbr) transaction_count
From
sales_details d, item_data i, (select trans_nbr from sales_details where item_dept = 1 group by trans_nbr) main_group
Where
d.trans_nbr = main_group.trans_nbr
d.item_nbr = i.item_nbr
group by i.buying_group;


Right now I get the data that I need for most of the buying groups but because this is being run at the dept level it does not give me the correct basket information for W and WC. Is there a way to do this at the dept level that would show if the customer bought something from either of these groups and had the other in their basket without double counting it?



the results at the moment are something like this



buyyin_group Sum(sales) Sum(units) transaction_count
MA 100 5 4
M 75 3 3
MC 56 1 1
WA 48 3 2
W 250 6 6
WC 200 9 9
KA 164 7 5
KC 400 12 7
K 521 14 12 `









share|improve this question















I am trying to build a query to create a basket analysis of products based on their type grouping. They have two levels of grouping beyond the product ids.



Dept level 
1
2
3
4


and buying group level



MA 
M
MC
WA
W
WC
KA
KC
K


the hierarchy is



  • 1 > W, WC

  • 2 > M, MC

  • 3 > K, KC

  • 4 > MA, KA, WA

right now the query I have



Select 
i.buying_group,
Sum(d.sales),
Sum(d.units),
count(distinct d.trans_nbr) transaction_count
From
sales_details d, item_data i, (select trans_nbr from sales_details where item_dept = 1 group by trans_nbr) main_group
Where
d.trans_nbr = main_group.trans_nbr
d.item_nbr = i.item_nbr
group by i.buying_group;


Right now I get the data that I need for most of the buying groups but because this is being run at the dept level it does not give me the correct basket information for W and WC. Is there a way to do this at the dept level that would show if the customer bought something from either of these groups and had the other in their basket without double counting it?



the results at the moment are something like this



buyyin_group Sum(sales) Sum(units) transaction_count
MA 100 5 4
M 75 3 3
MC 56 1 1
WA 48 3 2
W 250 6 6
WC 200 9 9
KA 164 7 5
KC 400 12 7
K 521 14 12 `






sql oracle






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edited Nov 8 at 16:17









Gordon Linoff

743k32285390




743k32285390










asked Nov 8 at 16:02









Jacob Green

34




34











  • Sample data and desired results would really help.
    – Gordon Linoff
    Nov 8 at 16:05










  • Please don't join tables using , notation. It was replaced by explicit joins in ANSI-92 (over 25 years ago). INNER JOIN, LEFT JOIN, etc, are your friends. Whomever taught you otherwise should be re-educated.
    – MatBailie
    Nov 8 at 16:09

















  • Sample data and desired results would really help.
    – Gordon Linoff
    Nov 8 at 16:05










  • Please don't join tables using , notation. It was replaced by explicit joins in ANSI-92 (over 25 years ago). INNER JOIN, LEFT JOIN, etc, are your friends. Whomever taught you otherwise should be re-educated.
    – MatBailie
    Nov 8 at 16:09
















Sample data and desired results would really help.
– Gordon Linoff
Nov 8 at 16:05




Sample data and desired results would really help.
– Gordon Linoff
Nov 8 at 16:05












Please don't join tables using , notation. It was replaced by explicit joins in ANSI-92 (over 25 years ago). INNER JOIN, LEFT JOIN, etc, are your friends. Whomever taught you otherwise should be re-educated.
– MatBailie
Nov 8 at 16:09





Please don't join tables using , notation. It was replaced by explicit joins in ANSI-92 (over 25 years ago). INNER JOIN, LEFT JOIN, etc, are your friends. Whomever taught you otherwise should be re-educated.
– MatBailie
Nov 8 at 16:09


















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