R Filter by group through time and place
I am having trouble solving an issue. I have data of prices of products sold at supermarkets weekly. My goal is to compare prices of an homogeneous basket of products through stores through time.
I know that a product is not present in all stores all the time. But I want to have an homogenous set of products that is present every week (so I can compare a basket of products throughout time) and I want to find the stores that those products are at.
My data looks like this:
Product Number - Store - Week - Price
70001 - 1 - 30 - 22.00
70002 - 2 - 30 - 4.50
70003 - 3 - 30 - 11.25
70003 - 1 - 31 - 12.50
70002 - 2 - 31 - 5.00
70001 - 3 - 31 - 22.50
Just to keep in mind, I have over a 1000 products, all weeks of the year and more than 2000 stores. It weights about 30Gb the data base. I am trying to avoid doing loops.
I spent about a week trying to do it with dplyr and aggregate but I am not getting anywhere.
filter dplyr aggregate
asked Nov 14 '18 at 13:51
ferchu109ferchu109
13
add a comment |
I am having trouble solving an issue. I have data of prices of products sold at supermarkets weekly. My goal is to compare prices of an homogeneous basket of products through stores through time.
I know that a product is not present in all stores all the time. But I want to have an homogenous set of products that is present every week (so I can compare a basket of products throughout time) and I want to find the stores that those products are at.
My data looks like this:
Product Number - Store - Week - Price
70001 - 1 - 30 - 22.00
70002 - 2 - 30 - 4.50
70003 - 3 - 30 - 11.25
70003 - 1 - 31 - 12.50
70002 - 2 - 31 - 5.00
70001 - 3 - 31 - 22.50
Just to keep in mind, I have over a 1000 products, all weeks of the year and more than 2000 stores. It weights about 30Gb the data base. I am trying to avoid doing loops.
I spent about a week trying to do it with dplyr and aggregate but I am not getting anywhere.
filter dplyr aggregate
asked Nov 14 '18 at 13:51
ferchu109ferchu109
13
add a comment |
I am having trouble solving an issue. I have data of prices of products sold at supermarkets weekly. My goal is to compare prices of an homogeneous basket of products through stores through time.
I know that a product is not present in all stores all the time. But I want to have an homogenous set of products that is present every week (so I can compare a basket of products throughout time) and I want to find the stores that those products are at.
My data looks like this:
Product Number - Store - Week - Price
70001 - 1 - 30 - 22.00
70002 - 2 - 30 - 4.50
70003 - 3 - 30 - 11.25
70003 - 1 - 31 - 12.50
70002 - 2 - 31 - 5.00
70001 - 3 - 31 - 22.50
Just to keep in mind, I have over a 1000 products, all weeks of the year and more than 2000 stores. It weights about 30Gb the data base. I am trying to avoid doing loops.
I spent about a week trying to do it with dplyr and aggregate but I am not getting anywhere.
filter dplyr aggregate
asked Nov 14 '18 at 13:51
ferchu109ferchu109
13
I am having trouble solving an issue. I have data of prices of products sold at supermarkets weekly. My goal is to compare prices of an homogeneous basket of products through stores through time.
I know that a product is not present in all stores all the time. But I want to have an homogenous set of products that is present every week (so I can compare a basket of products throughout time) and I want to find the stores that those products are at.
My data looks like this:
Product Number - Store - Week - Price
70001 - 1 - 30 - 22.00
70002 - 2 - 30 - 4.50
70003 - 3 - 30 - 11.25
70003 - 1 - 31 - 12.50
70002 - 2 - 31 - 5.00
70001 - 3 - 31 - 22.50
Just to keep in mind, I have over a 1000 products, all weeks of the year and more than 2000 stores. It weights about 30Gb the data base. I am trying to avoid doing loops.
I spent about a week trying to do it with dplyr and aggregate but I am not getting anywhere.
filter dplyr aggregate
filter dplyr aggregate
asked Nov 14 '18 at 13:51
ferchu109ferchu109
13
asked Nov 14 '18 at 13:51
ferchu109ferchu109
13
edited Nov 16 '18 at 0:56
ferchu109
asked Nov 14 '18 at 13:51
ferchu109ferchu109
13
asked Nov 14 '18 at 13:51
ferchu109ferchu109
13
asked Nov 14 '18 at 13:51
ferchu109ferchu109
13
13
add a comment |
add a comment |
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