问题
I have a dataset products
like so:
> head(featured_products)
Dept Class Sku Description Code Vehicle/Placement StartDate EndDate Comments(Circulation,Location,etc)
1: 430 4318 401684 ++INDV RAMEKIN WP 9CM OSM Facebook 2017-01-01 2017-01-29 Fancy Brunch Blog
2: 430 4318 401684 ++INDV RAMEKIN WP 9CM OSM Twitter 2017-01-01 2017-01-29 Fancy Brunch Blog
3: 340 3411 1672605 ++ SPHERE WILLOW 4" OP1 Editorial 2016-02-29 2016-03-27 Spruce up for Spring
4: 230 2311 2114074 ++BOX 30 ISLAND ORCHRD TLIGHTS EM Email 2016-02-17 2016-02-17 Island Orchard and Jeweled Lanterns
5: 895 8957 2118072 ++PAPASAN STL TAUPE OSM Instagram 2017-08-26 2017-10-01 by @audriestorme
6: 895 8957 2118072 ++PAPASAN STL TAUPE EM Email 2017-11-23 2017-11-23 Day 2 Black Friday AM
and another dataset sales
like so:
SKU ActivityDate OnlineSalesQuantity OnlineDiscountPercent InStoreSalesQuantity InStoreDiscountPercent
1: 401684 2015-12-01 150 0.00 406 2.72
2: 401684 2015-12-02 0 0.00 556 3.79
3: 401684 2015-12-03 0 0.00 723 3.44
4: 401684 2015-12-04 16 4.91 781 2.46
5: 401684 2015-12-05 17 0.00 982 3.18
6: 401684 2015-12-06 0 0.00 851 3.12
Now...how can I create a flag column in the sales
dataset entitled "featured"? This should be 1 if the ActivityDate
falls between the times listed in products
(StartDate, EndDate) and 0 otherwise...
I have tried several suggested posts on creating intervals out of POSIXct
times but none of them really seem to suit my needs.
Suggestions would be very nice. Thank you.
回答1:
This can be solved using a non-equi join:
library(data.table)
setDT(sales)[, featured := 0][setDT(featured_products),
on = .(SKU, ActivityDate >= StartDate, ActivityDate <= EndDate),
featured := 1][]
SKU ActivityDate featured 1: 401684 2017-01-01 1 2: 401684 2016-03-15 0 3: 1672605 2016-03-22 1 4: 1672605 2017-01-15 0
Make sure that all columns involved in the non-equi join, i.e., ActivityDate
, StartDate
, and EndDate
, are of the same type/class, either POSIXct
or Date
or IDate
, preferably Date
if time of day is not relevant.
Minimal reproducible datasets
featured_products <- data.frame(
SKU = c(401684, 1672605),
StartDate = as.POSIXct(c("2017-01-01", "2016-02-29")),
EndDate = as.POSIXct(c("2017-01-29", "2016-03-27")))
sales <- data.frame(
SKU = c(401684, 401684, 1672605, 1672605),
ActivityDate = as.POSIXct(c("2017-01-01", "2016-03-15", "2016-03-22", "2017-01-15")))
Note that the dates are of class POSIXct
as requested by the OP.
回答2:
Based on a minimal example:
library(lubridate)
library(plyr)
featured_products <- data.frame(SKU=c(401684,1672605), StartDate=c("2017-01-01", "2016-02-29"), EndDate=c("2017-01-29", "2016-03-27"))
sales <- data.frame(SKU=c(401684,401684, 1672605), ActivityDate=c("2017-01-01", "2016-01-01", "2016-03-22"))
output <- plyr::join(sales, featured_products, by="SKU")
output$ActivityDate <- ymd(output$ActivityDate)
output$StartDate <- ymd(output$StartDate)
output$EndDate <- ymd(output$EndDate)
output$featured <- ifelse(output$ActivityDate>=output$StartDate & output$ActivityDate<=output$EndDate,1,0)
It gives
SKU ActivityDate StartDate EndDate featured
1 401684 2017-01-01 2017-01-01 2017-01-29 1
2 401684 2016-01-01 2017-01-01 2017-01-29 0
3 1672605 2016-03-22 2016-02-29 2016-03-27 1
来源:https://stackoverflow.com/questions/48372955/creating-dummy-variable-based-on-event-date-within-certain-time-period