重新排列 R 中的数据以进行购物篮分析

Question

我有 csv 格式的可用数据。

数据格式如下。收据编号在一列，产品在相应列

Receipt_no Product
A1  Apple
A1  Banana
A1  Orange
A2  Pineapple
A2  Jackfruit
A3  Cola
A3  Tea

我想将它们重新排列为

A1 ,  Apple, Banana, Orange
A2 , Pineapple, Jackfruit
A3 , Cola, Tea

也就是收货号和商品名在一行，中间用逗号隔开。由于数据很大，我想在 R 中重新排列相同的数据。

请帮忙

谢谢。

此致，尼斯

Answer 1

基础 R,

aggregate(Product ~ Receipt_no, df, paste, collapse = ',')

使用dplyr,

df %>% 
  group_by(Receipt_no) %>% 
  summarise(new = paste(Product, collapse = ','))

Answer 2

使用基数 R：

u <- as.vector(unique(df$Receipt_no))
as.list(sapply(u, function(x) paste0(x, ", ", paste0(subset(df$Product, df$Receipt_no==x), collapse = ", "))))

# $A1
# [1] "A1, Apple, Banana, Orange"

# $A2
# [1] "A2, Pineapple, Jackfruit"

# $A3
# [1] "A3, Cola, Tea"

数据

df <- structure(list(Receipt_no = structure(c(1L, 1L, 1L, 2L, 2L, 3L, 
3L), .Label = c("A1", "A2", "A3"), class = "factor"), Product = structure(c(1L, 
2L, 5L, 6L, 4L, 3L, 7L), .Label = c("Apple", "Banana", "Cola", 
"Jackfruit", "Orange", "Pineapple", "Tea"), class = "factor")), .Names = c("Receipt_no", 
"Product"), class = "data.frame", row.names = c(NA, -7L))

重新排列 R 中的数据以进行购物篮分析

Rearranging data in R for market basket analysis

r

market-basket-analysis