QlikView 排名函数

Product_Id,Product_Line,Product_category,Quantity,Value
1,Sporting Goods,Outdoor Recreation,12,5642
2,Food, Beverages & Tobacco,38,2514
3,Apparel & Accessories,Clothing,54,2365
4,Apparel & Accessories,Costumes & Accessories,29,4487
5,Sporting Goods,Athletics,11,812
6,Health & Beauty,Personal Care,21,6912
7,Arts & Entertainment,Hobbies & Creative Arts,58,5201
8,Arts & Entertainment,Paintings,73,8451
9,Arts & Entertainment,Musical Instruments,41,1245
10,Hardware,Tool Accessories,2,456
11,Home & Garden,Bathroom Accessories,36,241
12,Food,Drinks,54,1247
13,Home & Garden,Lawn & Garden,29,5462
14,Office Supplies,Presentation Supplies,22,577
15,Hardware,Blocks,53,548
16,Baby & Toddler,Diapering,19,1247
17,Baby & Toddler,Toys,9,257
18,Home & Garden,Pipes,81,1241
19,Office Supplies,Display Board,29,2177

# Load the records with highest sales value for each product line.
LOAD Product_Line, 
     max(Value,1)
FROM
[E:\Qlikview\data\product_sales.csv]
(txt, codepage is 1252, embedded labels, delimiter is ',', msq)
group by Product_Line;