@hemantsain55 wrote:
i want to do a market basket analysis and I’m trying to create a dataset for that i have two tables,
one table contains daily transaction of products in which each row of table shows item purchased by the customer,
The second table contains parent group under those products are fallen, for example under fruit category there are several fruits like mango, banana, apple etc.
i want to create a third table in which parent group are mentioned as header which can be extracted from Table 2, and all the rows represent transaction of productswith their names, and if there is no transaction for any parent category then the cell supposed to fill as NA. please help me with R or C/c++ code( R would be
preferred) here I’m attaching you all three tables for better reference i have first two tables and i want to get a table like table 3
Table 1 :
Item_1 Item_2 Item_3 Item_4 T1 1KG banana 300ML milk 1kg sugar NA T2 2 Large Corona Beer 2 pack Fries NA NA T3 2 Lux Soap 1kg sugar Na Na
Table 2 :
Toiletries Fruits Beverages Snacks Vegetables Clothings Dairy Products Soap Banana Corona Beer King Burger Pumpkin Adidas Sport Tshirt XL Milk Shampoo Mango Red Label Whisky Potato Fries Potato Nike Shorts Black L Butter Showergel Oranges grey Cocktail cheese pizza Tomato Puma Jersy red M Suger Lux Soap 2 Large corona Beer Cheese Toothpest
Table 3 :
toiletries Fruits Beverages Snacks Vegetables Clothings Dairy Products NA 1kg Banana NA NA or NA NA 300ml milk,1kg Sugar NA NA 2 Large corona Beer 2 pack Fries NA NA NA 2 Lux Soap NA
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