VAR SQL function
1. Usage of VAR to show order amount variance by customers
SQL Server Query 1
SELECT
o.CustomerID,
c.CompanyName,
AVG(od.UnitPrice * od.Quantity) AS AverageOrderAmount,
VAR(od.UnitPrice * od.Quantity) AS OrderAmountVariance
FROM Orders AS o
JOIN Customers AS c ON o.CustomerID = c.CustomerID
JOIN [Order Details] AS od ON o.OrderID = od.OrderID
GROUP BY o.CustomerID, c.CompanyName
ORDER BY OrderAmountVariance DESC;
Create SQL query with SqlQueryBuilder 1
var (sql1, parameters1) = new SqlQueryBuilder()
.Select()
.Column("o.CustomerID", "CustomerID")
.Column("c.CompanyName", "CompanyName")
.Column(new AVG(new ColumnArithmatic("od.UnitPrice").MULTIPLY("od.Quantity")), "AverageOrderAmount")
.Column(new VAR(new ColumnArithmatic("od.UnitPrice").MULTIPLY("od.Quantity")), "OrderAmountVariance")
.From("Orders", "o")
.Join(new List<IJoin>()
{
new INNERJOIN().TableName(new Table("Customers","c"))
.On(new Column("o.CustomerID").Equale(new Column("c.CustomerID"))),
new INNERJOIN().TableName(new Table("[Order Details]", "od"))
.On(new Column("o.OrderID").Equale(new Column("od.OrderID")))
})
.GroupBy(new GroupBy("o.CustomerID", "c.CompanyName"))
.OrderBy(new OrderBy().SetColumnDescending("OrderAmountVariance"))
.Build();
Query build by SqlQueryBuilder 1
SELECT o.CustomerID AS CustomerID,
c.CompanyName AS CompanyName,
AVG(od.UnitPrice * od.Quantity) AS AverageOrderAmount,
VAR(od.UnitPrice * od.Quantity) AS OrderAmountVariance
FROM Orders AS o
INNER JOIN
Customers AS c
ON o.CustomerID = c.CustomerID
INNER JOIN
[Order Details] AS od
ON o.OrderID = od.OrderID
GROUP BY o.CustomerID, c.CompanyName
ORDER BY OrderAmountVariance DESC;
Parameters (If used)
Query Results 1:
|
CustomerID |
CompanyName |
AverageOrderAmount |
OrderAmountVariance |
1 |
HANAR
|
Hanari Carnes
|
1065.6609
|
7484388.737215222
|
2 |
SIMOB
|
Simons bistro
|
1209.23
|
6868286.792071429
|
3 |
PICCO
|
Piccolo und mehr
|
1141.7369
|
4471199.432094863
|
4 |
QUICK
|
QUICK-Stop
|
1366.0859
|
3882522.7001773594
|
5 |
MEREP
|
Mère Paillarde
|
1006.3718
|
3360846.6788608874
|
6 |
GREAL
|
Great Lakes Food Market
|
895.9604
|
3174283.7535474026
|
7 |
HUNGO
|
Hungry Owl All-Night Grocers
|
1042.1343
|
2879982.05298431
|
8 |
RATTC
|
Rattlesnake Canyon Grocery
|
735.8577
|
2318099.5891177063
|
9 |
QUEEN
|
Queen Cozinha
|
755.6525
|
1834720.4830705135
|
10 |
KOENE
|
Königlich Essen
|
813.9935
|
1729187.356107828
|
11 |
ERNSH
|
Ernst Handel
|
1110.1635
|
1495161.1868092022
|
12 |
SAVEA
|
Save-a-lot Markets
|
997.1843
|
1282107.1338422415
|
13 |
WHITC
|
White Clover Markets
|
726.8362
|
1159985.7421778846
|
14 |
FOLKO
|
Folk och fä HB
|
723.4566
|
1048765.028590909
|
15 |
SPLIR
|
Split Rail Beer & Ale
|
624.485
|
930273.6181842104
|
16 |
THEBI
|
The Big Cheese
|
480.1428
|
904726.1961904763
|
17 |
BOLID
|
Bólido Comidas preparadas
|
882.9666
|
860125.3506666666
|
18 |
RICSU
|
Richter Supermarkt
|
667.7733
|
762319.0306850574
|
19 |
FOLIG
|
Folies gourmandes
|
729.1812
|
721843.1122916668
|
20 |
BLONP
|
Blondesddsl père et fils
|
734.1538
|
539106.1137846154
|
21 |
AROUT
|
Around the Horn
|
460.2166
|
517654.7331609196
|
22 |
TORTU
|
Tortuga Restaurante
|
372.8327
|
502382.26701354684
|
23 |
BERGS
|
Berglunds snabbköp
|
518.6182
|
479173.0447087104
|
24 |
MAISD
|
Maison Dewey
|
613.5635
|
384361.30786176474
|
25 |
FRANR
|
France restauration
|
528.6933
|
363716.82586666674
|
26 |
SUPRD
|
Suprêmes délices
|
633.4461
|
355102.28202429164
|
27 |
VAFFE
|
Vaffeljernet
|
536.8967
|
350552.01165591396
|
28 |
BOTTM
|
Bottom-Dollar Markets
|
645.9342
|
341008.662907563
|
29 |
GODOS
|
Godos Cocina Típica
|
455.0038
|
338080.5611846154
|
30 |
EASTC
|
Eastern Connection
|
715.8885
|
318748.1925928573
|
31 |
OLDWO
|
Old World Delicatessen
|
680.2145
|
310000.1094519928
|
32 |
HILAA
|
HILARION-Abastos
|
524.7017
|
309195.5933922222
|
33 |
HUNGC
|
Hungry Coyote Import Store
|
340.3555
|
287320.9577777778
|
34 |
RICAR
|
Ricardo Adocicados
|
478.6814
|
261731.01618233617
|
35 |
FRANK
|
Frankenversand
|
598.3897
|
258549.52474676404
|
36 |
SANTG
|
Santé Gourmet
|
358.4468
|
244037.02482291666
|
37 |
SEVES
|
Seven Seas Imports
|
660.4634
|
243735.9443115388
|
38 |
TOMSP
|
Toms Spezialitäten
|
353.8571
|
239330.97340659337
|
39 |
DRACD
|
Drachenblut Delikatessen
|
376.321
|
238408.13218777778
|
40 |
LAMAI
|
La maison d'Asie
|
331.3661
|
234950.30823118277
|
41 |
LILAS
|
LILA-Supermercado
|
524.2664
|
234775.24816292332
|
42 |
LEHMS
|
Lehmanns Marktstand
|
545.6928
|
232028.1658786775
|
43 |
CHOPS
|
Chop-suey Chinese
|
585.7409
|
221713.36443722952
|
44 |
SPECD
|
Spécialités du monde
|
403.8916
|
217174.6304166667
|
45 |
COMMI
|
Comércio Mineiro
|
381.075
|
212123.27847222224
|
46 |
GOURL
|
Gourmet Lanchonetes
|
458.0121
|
209091.74545087724
|
47 |
PRINI
|
Princesa Isabel Vinhos
|
531.71
|
195028.78766666664
|
48 |
VICTE
|
Victuailles en stock
|
397.484
|
189342.0414
|
49 |
LINOD
|
LINO-Delicateses
|
511.13
|
187181.38414705874
|
50 |
GROSR
|
GROSELLA-Restaurante
|
372.175
|
180171.58916666664
|
51 |
BONAP
|
Bon app'
|
542.067
|
164664.25266781176
|
52 |
WELLI
|
Wellington Importadora
|
341.0894
|
142395.4743274854
|
53 |
WARTH
|
Wartian Herkku
|
449.1108
|
130477.45890765774
|
54 |
MORGK
|
Morgenstern Gesundkost
|
458.3818
|
120660.45963636362
|
55 |
OCEAN
|
Océano Atlántico Ltda.
|
314.5636
|
117213.61454545458
|
56 |
ANTON
|
Antonio Moreno Taquería
|
442.0794
|
113965.2128308824
|
57 |
TRADH
|
Tradição Hipermercados
|
562.3553
|
113479.60587692303
|
58 |
WANDK
|
Die Wandernde Kuh
|
409.7634
|
113120.21111153845
|
59 |
REGGC
|
Reggiani Caseifici
|
343.4363
|
105556.71861471859
|
60 |
LONEP
|
Lonesome Pine Restaurant
|
304.1857
|
95778.53208791208
|
61 |
BSBEV
|
B's Beverages
|
276.8136
|
95662.24409090911
|
62 |
ALFKI
|
Alfreds Futterkiste
|
383.0166
|
92154.29424242425
|
63 |
OTTIK
|
Ottilies Käseladen
|
453.7068
|
87174.67941502466
|
64 |
MAGAA
|
Magazzini Alimentari Riuniti
|
362.088
|
81324.38897619052
|
65 |
FURIB
|
Furia Bacalhau e Frutos do Mar
|
357.5775
|
77949.6711776316
|
66 |
LETSS
|
Let's Stop N Shop
|
349.002
|
75112.44348444446
|
67 |
PERIC
|
Pericles Comidas clásicas
|
303.0142
|
72403.39208791203
|
68 |
FAMIA
|
Familia Arquibaldo
|
233.6263
|
68642.8009356725
|
69 |
ISLAT
|
Island Trading
|
267.2304
|
60677.24130434781
|
70 |
THECR
|
The Cracker Box
|
243.405
|
57680.14362857142
|
71 |
QUEDE
|
Que Delícia
|
290.5679
|
53396.89287807968
|
72 |
BLAUS
|
Blauer See Delikatessen
|
231.4142
|
45221.94131868131
|
73 |
CONSH
|
Consolidated Holdings
|
245.5857
|
39441.64809523811
|
74 |
FRANS
|
Franchi S.p.A.
|
154.57
|
37612.44455555555
|
75 |
DUMON
|
Du monde entier
|
179.5444
|
30211.81777777779
|
76 |
RANCH
|
Rancho grande
|
237.0083
|
27329.368106060607
|
77 |
WOLZA
|
Wolski Zajazd
|
220.7468
|
26593.677156250007
|
78 |
LACOR
|
La corne d'abondance
|
181.0954
|
24172.353227272728
|
79 |
TRAIH
|
Trail's Head Gourmet Provisioners
|
174.5777
|
19035.91194444445
|
80 |
ANATR
|
Ana Trujillo Emparedados y helados
|
140.295
|
18442.554694444443
|
81 |
WILMK
|
Wilman Kala
|
185.9617
|
16509.61485294118
|
82 |
CACTU
|
Cactus Comidas para llevar
|
164.9818
|
15931.353636363638
|
83 |
ROMEY
|
Romero y tomillo
|
104.8064
|
11003.8313478022
|
84 |
VINET
|
Vins et alcools Chevalier
|
148
|
6990.373333333332
|
85 |
NORTS
|
North/South
|
108.1666
|
4497.7666666666655
|
86 |
GALED
|
Galería del gastrónomo
|
104.5875
|
2758.1898214285693
|
87 |
LAZYK
|
Lazy K Kountry Store
|
178.5
|
1984.5
|
88 |
CENTC
|
Centro comercial Moctezuma
|
50.4
|
1752.3200000000006
|
89 |
LAUGB
|
Laughing Bacchus Wine Cellars
|
65.3125
|
1642.638392857143
|
2. Usage of VAR to see price variance across product categories
SQL Server Query 2
SELECT
p.CategoryID,
c.CategoryName,
AVG(p.UnitPrice) AS AveragePrice,
VAR(p.UnitPrice) AS PriceVariance
FROM Products AS p
JOIN Categories AS c ON p.CategoryID = c.CategoryID
GROUP BY p.CategoryID, c.CategoryName
ORDER BY PriceVariance DESC;
Create SQL query with SqlQueryBuilder 2
var (sql2, parameters2) = new SqlQueryBuilder()
.Select()
.Column("p.CategoryID", "CategoryID")
.Column("c.CategoryName", "CategoryName")
.Column(new AVG(new Column("p.UnitPrice")), "AveragePrice")
.Column(new VAR(new Column("p.UnitPrice")), "PriceVariance")
.From("Products", "p")
.Join(new List<IJoin>()
{
new INNERJOIN().TableName(new Table("Categories","c"))
.On(new Column("p.CategoryID").Equale(new Column("c.CategoryID")))
})
.GroupBy(new GroupBy("p.CategoryID", "c.CategoryName"))
.OrderBy(new OrderBy()
.SetColumnDescending("PriceVariance"))
.Build();
Query build by SqlQueryBuilder 2
SELECT p.CategoryID AS CategoryID,
c.CategoryName AS CategoryName,
AVG(p.UnitPrice) AS AveragePrice,
VAR(p.UnitPrice) AS PriceVariance
FROM Products AS p
INNER JOIN
Categories AS c
ON p.CategoryID = c.CategoryID
GROUP BY p.CategoryID, c.CategoryName
ORDER BY PriceVariance DESC;
Parameters (If used)
Query Results 2:
|
CategoryID |
CategoryName |
AveragePrice |
PriceVariance |
1 |
1
|
Beverages
|
37.9791
|
5144.86884469697
|
2 |
6
|
Meat/Poultry
|
54.0066
|
2092.197266666666
|
3 |
3
|
Confections
|
25.1600
|
451.91229999999996
|
4 |
7
|
Produce
|
32.3700
|
297.4595000000004
|
5 |
8
|
Seafood
|
20.6825
|
231.2588568181819
|
6 |
4
|
Dairy Products
|
28.7300
|
218.62900000000002
|
7 |
5
|
Grains/Cereals
|
20.2500
|
137.72916666666666
|
8 |
2
|
Condiments
|
23.0625
|
103.7627840909091
|
3. Usage of VAR for variance of price within categories
SQL Server Query 3
SELECT
p.ProductID,
p.ProductName,
p.CategoryID,
c.CategoryName,
p.UnitPrice,
VAR(p.UnitPrice) OVER (PARTITION BY p.CategoryID) AS CategoryPriceVariance,
(p.UnitPrice - AVG(p.UnitPrice) OVER (PARTITION BY p.CategoryID)) / SQRT(VAR(p.UnitPrice) OVER (PARTITION BY p.CategoryID)) AS ZScore --Approximation
FROM Products AS p
JOIN Categories AS c ON p.CategoryID = c.CategoryID
ORDER BY p.CategoryID, p.UnitPrice;
Create SQL query with SqlQueryBuilder 3
var (sql3, parameters3) = new SqlQueryBuilder()
.Select()
.Columns("p.ProductID", "p.ProductName", "p.CategoryID", "c.CategoryName", "p.UnitPrice")
.Column(new VAR(new Column("p.UnitPrice")).OVER(new OVER().PARTITION_BY(new Column("p.CategoryID"))), "CategoryPriceVariance")
.Column(new ColumnArithmatic().StartBracket("p.UnitPrice").SUBTRACT(
new AVG(new Column("p.UnitPrice")).OVER(new OVER().PARTITION_BY(new Column("p.CategoryID")))).EndBracket()
.DIVIDE(new SQRT(new VAR(new Column("p.UnitPrice")).OVER(new OVER().PARTITION_BY(new Column("p.CategoryID")))))
, "ZScore")
.From("Products", "p")
.Join(new List<IJoin>()
{
new INNERJOIN().TableName(new Table("Categories","c"))
.On(new Column("p.CategoryID").Equale(new Column("c.CategoryID")))
})
.OrderBy(new OrderBy()
.SetColumnAscending("p.CategoryID")
.SetColumnAscending("p.UnitPrice"))
.Build();
Query build by SqlQueryBuilder 3
SELECT p.ProductID,
p.ProductName,
p.CategoryID,
c.CategoryName,
p.UnitPrice,
VAR(p.UnitPrice) OVER (PARTITION BY p.CategoryID) AS CategoryPriceVariance,
(p.UnitPrice - AVG(p.UnitPrice) OVER (PARTITION BY p.CategoryID)) / SQRT(VAR(p.UnitPrice) OVER (PARTITION BY p.CategoryID)) AS ZScore
FROM Products AS p
INNER JOIN
Categories AS c
ON p.CategoryID = c.CategoryID
ORDER BY p.CategoryID ASC, p.UnitPrice ASC;
Parameters (If used)
Query Results 3:
|
ProductID |
ProductName |
CategoryID |
CategoryName |
UnitPrice |
CategoryPriceVariance |
CategoryPricePopulationVariance |
ZScore |
1 |
24
|
Guaraná Fantástica
|
1
|
Beverages
|
4.5000
|
5144.86884469697
|
0
|
-0.46675246539281917
|
2 |
75
|
Rhönbräu Klosterbier
|
1
|
Beverages
|
7.7500
|
5144.86884469697
|
0
|
-0.4214422416255535
|
3 |
67
|
Laughing Lumberjack Lager
|
1
|
Beverages
|
14.0000
|
5144.86884469697
|
0
|
-0.3343071959192735
|
4 |
34
|
Sasquatch Ale
|
1
|
Beverages
|
14.0000
|
5144.86884469697
|
0
|
-0.3343071959192735
|
5 |
70
|
Outback Lager
|
1
|
Beverages
|
15.0000
|
5144.86884469697
|
0
|
-0.3203655886062687
|
6 |
39
|
Chartreuse verte
|
1
|
Beverages
|
18.0000
|
5144.86884469697
|
0
|
-0.27854076666725425
|
7 |
35
|
Steeleye Stout
|
1
|
Beverages
|
18.0000
|
5144.86884469697
|
0
|
-0.27854076666725425
|
8 |
1
|
Chai
|
1
|
Beverages
|
18.0000
|
5144.86884469697
|
0
|
-0.27854076666725425
|
9 |
76
|
Lakkalikööri
|
1
|
Beverages
|
18.0000
|
5144.86884469697
|
0
|
-0.27854076666725425
|
10 |
2
|
Chang
|
1
|
Beverages
|
19.0000
|
5144.86884469697
|
0
|
-0.26459915935424944
|
11 |
43
|
Ipoh Coffee
|
1
|
Beverages
|
46.0000
|
5144.86884469697
|
0
|
0.11182423809688022
|
12 |
38
|
Côte de Blaye
|
1
|
Beverages
|
263.5000
|
5144.86884469697
|
0
|
3.144123828675425
|
13 |
3
|
Aniseed Syrup
|
2
|
Condiments
|
10.0000
|
103.7627840909091
|
0
|
-1.2823468091712305
|
14 |
77
|
Original Frankfurter grüne Soße
|
2
|
Condiments
|
13.0000
|
103.7627840909091
|
0
|
-0.9878365372084598
|
15 |
15
|
Genen Shouyu
|
2
|
Condiments
|
15.5000
|
103.7627840909091
|
0
|
-0.7424113105728176
|
16 |
66
|
Louisiana Hot Spiced Okra
|
2
|
Condiments
|
17.0000
|
103.7627840909091
|
0
|
-0.5951561745914322
|
17 |
44
|
Gula Malacca
|
2
|
Condiments
|
19.4500
|
103.7627840909091
|
0
|
-0.3546394524885029
|
18 |
65
|
Louisiana Fiery Hot Pepper Sauce
|
2
|
Condiments
|
21.0500
|
103.7627840909091
|
0
|
-0.19756730744169196
|
19 |
5
|
Chef Anton's Gumbo Mix
|
2
|
Condiments
|
21.3500
|
103.7627840909091
|
0
|
-0.1681162802454149
|
20 |
4
|
Chef Anton's Cajun Seasoning
|
2
|
Condiments
|
22.0000
|
103.7627840909091
|
0
|
-0.10430572132014793
|
21 |
6
|
Grandma's Boysenberry Spread
|
2
|
Condiments
|
25.0000
|
103.7627840909091
|
0
|
0.19020455064262268
|
22 |
61
|
Sirop d'érable
|
2
|
Condiments
|
28.5000
|
103.7627840909091
|
0
|
0.5337998679325218
|
23 |
8
|
Northwoods Cranberry Sauce
|
2
|
Condiments
|
40.0000
|
103.7627840909091
|
0
|
1.6627559104564757
|
24 |
63
|
Vegie-spread
|
2
|
Condiments
|
43.9000
|
103.7627840909091
|
0
|
2.0456192640080775
|
25 |
19
|
Teatime Chocolate Biscuits
|
3
|
Confections
|
9.2000
|
451.91229999999996
|
0
|
-0.7507680909741813
|
26 |
47
|
Zaanse koeken
|
3
|
Confections
|
9.5000
|
451.91229999999996
|
0
|
-0.7366559088130125
|
27 |
21
|
Sir Rodney's Scones
|
3
|
Confections
|
10.0000
|
451.91229999999996
|
0
|
-0.7131356052110644
|
28 |
68
|
Scottish Longbreads
|
3
|
Confections
|
12.5000
|
451.91229999999996
|
0
|
-0.5955340872013243
|
29 |
48
|
Chocolade
|
3
|
Confections
|
12.7500
|
451.91229999999996
|
0
|
-0.5837739354003503
|
30 |
25
|
NuNuCa Nuß-Nougat-Creme
|
3
|
Confections
|
14.0000
|
451.91229999999996
|
0
|
-0.5249731763954801
|
31 |
50
|
Valkoinen suklaa
|
3
|
Confections
|
16.2500
|
451.91229999999996
|
0
|
-0.41913181018671397
|
32 |
16
|
Pavlova
|
3
|
Confections
|
17.4500
|
451.91229999999996
|
0
|
-0.3626830815420387
|
33 |
49
|
Maxilaku
|
3
|
Confections
|
20.0000
|
451.91229999999996
|
0
|
-0.24272953317210372
|
34 |
26
|
Gumbär Gummibärchen
|
3
|
Confections
|
31.2300
|
451.91229999999996
|
0
|
0.28553648572764917
|
35 |
27
|
Schoggi Schokolade
|
3
|
Confections
|
43.9000
|
451.91229999999996
|
0
|
0.8815409790010122
|
36 |
62
|
Tarte au sucre
|
3
|
Confections
|
49.3000
|
451.91229999999996
|
0
|
1.1355602579020512
|
37 |
20
|
Sir Rodney's Marmalade
|
3
|
Confections
|
81.0000
|
451.91229999999996
|
0
|
2.6267475062655565
|
38 |
33
|
Geitost
|
4
|
Dairy Products
|
2.5000
|
218.62900000000002
|
0
|
-1.773962383298419
|
39 |
31
|
Gorgonzola Telino
|
4
|
Dairy Products
|
12.5000
|
218.62900000000002
|
0
|
-1.0976519054873557
|
40 |
11
|
Queso Cabrales
|
4
|
Dairy Products
|
21.0000
|
218.62900000000002
|
0
|
-0.522787999347952
|
41 |
71
|
Flotemysost
|
4
|
Dairy Products
|
21.5000
|
218.62900000000002
|
0
|
-0.4889724754573988
|
42 |
32
|
Mascarpone Fabioli
|
4
|
Dairy Products
|
32.0000
|
218.62900000000002
|
0
|
0.22115352624421772
|
43 |
60
|
Camembert Pierrot
|
4
|
Dairy Products
|
34.0000
|
218.62900000000002
|
0
|
0.3564156218064303
|
44 |
72
|
Mozzarella di Giovanni
|
4
|
Dairy Products
|
34.8000
|
218.62900000000002
|
0
|
0.4105204600313155
|
45 |
69
|
Gudbrandsdalsost
|
4
|
Dairy Products
|
36.0000
|
218.62900000000002
|
0
|
0.491677717368643
|
46 |
12
|
Queso Manchego La Pastora
|
4
|
Dairy Products
|
38.0000
|
218.62900000000002
|
0
|
0.6269398129308557
|
47 |
59
|
Raclette Courdavault
|
4
|
Dairy Products
|
55.0000
|
218.62900000000002
|
0
|
1.7766676252096634
|
48 |
52
|
Filo Mix
|
5
|
Grains/Cereals
|
7.0000
|
137.72916666666666
|
0
|
-1.1290233356007147
|
49 |
23
|
Tunnbröd
|
5
|
Grains/Cereals
|
9.0000
|
137.72916666666666
|
0
|
-0.9586047189062671
|
50 |
42
|
Singaporean Hokkien Fried Mee
|
5
|
Grains/Cereals
|
14.0000
|
137.72916666666666
|
0
|
-0.5325581771701484
|
51 |
57
|
Ravioli Angelo
|
5
|
Grains/Cereals
|
19.5000
|
137.72916666666666
|
0
|
-0.0639069812604178
|
52 |
22
|
Gustaf's Knäckebröd
|
5
|
Grains/Cereals
|
21.0000
|
137.72916666666666
|
0
|
0.0639069812604178
|
53 |
64
|
Wimmers gute Semmelknödel
|
5
|
Grains/Cereals
|
33.2500
|
137.72916666666666
|
0
|
1.1077210085139086
|
54 |
56
|
Gnocchi di nonna Alice
|
5
|
Grains/Cereals
|
38.0000
|
137.72916666666666
|
0
|
1.5124652231632214
|
55 |
54
|
Tourtière
|
6
|
Meat/Poultry
|
7.4500
|
2092.197266666666
|
0
|
-1.0178410011631822
|
56 |
55
|
Pâté chinois
|
6
|
Meat/Poultry
|
24.0000
|
2092.197266666666
|
0
|
-0.6560175739960208
|
57 |
53
|
Perth Pasties
|
6
|
Meat/Poultry
|
32.8000
|
2092.197266666666
|
0
|
-0.463628077979645
|
58 |
17
|
Alice Mutton
|
6
|
Meat/Poultry
|
39.0000
|
2092.197266666666
|
0
|
-0.3280809330590166
|
59 |
9
|
Mishi Kobe Niku
|
6
|
Meat/Poultry
|
97.0000
|
2092.197266666666
|
0
|
0.9399407452307333
|
60 |
29
|
Thüringer Rostbratwurst
|
6
|
Meat/Poultry
|
123.7900
|
2092.197266666666
|
0
|
1.525635585944223
|
61 |
74
|
Longlife Tofu
|
7
|
Produce
|
10.0000
|
297.4595000000004
|
0
|
-1.2970360954096023
|
62 |
14
|
Tofu
|
7
|
Produce
|
23.2500
|
297.4595000000004
|
0
|
-0.5287871788169679
|
63 |
7
|
Uncle Bob's Organic Dried Pears
|
7
|
Produce
|
30.0000
|
297.4595000000004
|
0
|
-0.13741508923204102
|
64 |
28
|
Rössle Sauerkraut
|
7
|
Produce
|
45.6000
|
297.4595000000004
|
0
|
0.7670892955864568
|
65 |
51
|
Manjimup Dried Apples
|
7
|
Produce
|
53.0000
|
297.4595000000004
|
0
|
1.1961490678721545
|
66 |
13
|
Konbu
|
8
|
Seafood
|
6.0000
|
231.2588568181818
|
0
|
-0.9654967634769832
|
67 |
45
|
Rogede sild
|
8
|
Seafood
|
9.5000
|
231.2588568181818
|
0
|
-0.7353425886314569
|
68 |
41
|
Jack's New England Clam Chowder
|
8
|
Seafood
|
9.6500
|
231.2588568181818
|
0
|
-0.7254788382809343
|
69 |
46
|
Spegesild
|
8
|
Seafood
|
12.0000
|
231.2588568181818
|
0
|
-0.5709467494560808
|
70 |
58
|
Escargots de Bourgogne
|
8
|
Seafood
|
13.2500
|
231.2588568181818
|
0
|
-0.48874882986839285
|
71 |
73
|
Röd Kaviar
|
8
|
Seafood
|
15.0000
|
231.2588568181818
|
0
|
-0.3736717424456297
|
72 |
40
|
Boston Crab Meat
|
8
|
Seafood
|
18.4000
|
231.2588568181818
|
0
|
-0.1500934011671183
|
73 |
36
|
Inlagd Sill
|
8
|
Seafood
|
19.0000
|
231.2588568181818
|
0
|
-0.11063839976502805
|
74 |
30
|
Nord-Ost Matjeshering
|
8
|
Seafood
|
25.8900
|
231.2588568181818
|
0
|
0.3424365330023082
|
75 |
37
|
Gravad lax
|
8
|
Seafood
|
26.0000
|
231.2588568181818
|
0
|
0.34966994992602474
|
76 |
10
|
Ikura
|
8
|
Seafood
|
31.0000
|
231.2588568181818
|
0
|
0.6784616282767768
|
77 |
18
|
Carnarvon Tigers
|
8
|
Seafood
|
62.5000
|
231.2588568181818
|
0
|
2.7498492018865144
|