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r - R中具有类别和子类别的多个熔体

问题描述

我有以下数据：

structure(list(Filters = structure(c(4L, 2L, 6L, 5L, 1L, 3L, 
7L), .Label = c("product type : shade || shade family : white", 
"space : bedroom || product type : appliances", "space : bedroom || shade family : white", 
"space : living room || product type : shade || shade family : white", 
"space : living room || product type : shade|appliances", "space : living room || shade family : white|black", 
"space : living room || shade family : yellows & greens"), class = "factor"), 
    Count = c(143L, 131L, 119L, 101L, 94L, 84L, 82L)), class = "data.frame", row.names = c(NA, 
-7L))

我想获得数据中可用的每个类别和子类别的计数总和。此外，如果类别有多个子类别，那么每个类别都应该有每个类别的总和。

例如，要获得（产品类型：电器）=> 产品类型：电器和产品类型：灯罩|电器都符合条件。

我正在寻找如下输出：

                   Category Count
1                     space   660
2              product type   469
3              shade family   522
4       space : living room   445
5      product type : shade   338
6 product type : appliances   232
7                  So on ….    ..

提前致谢。

标签： rdplyrreshape2

解决方案

一种方法是使用separate_rowsand separate：

library(dplyr)
library(tidry)
df %>%
  separate_rows(Filters,sep = " \\|\\| ") %>%
  separate(Filters, into = c("Category","Subcategory")," : ") %>%
  group_by(Category, Subcategory) %>%
  summarise(Count = sum(Count)) %>%
  bind_rows(group_by(.,Category) %>%
              summarize(Count  = sum(Count)) %>%
              mutate(Subcategory = "Total")) %>%
  separate_rows(Subcategory,sep = "\\|") %>%
  arrange(-Count)
# A tibble: 13 x 3
# Groups:   Category [3]
   Category     Subcategory      Count
   <chr>        <chr>            <int>
 1 space        Total              660
 2 shade family Total              522
 3 product type Total              469
 4 space        living room        445
 5 shade family white              321
 6 product type shade              237
 7 space        bedroom            215
 8 product type appliances         131
 9 shade family white              119
10 shade family black              119
11 product type shade              101
12 product type appliances         101
13 shade family yellows & greens    82

感谢@Bishops_Guest 的回答给我一些启发。

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