谁能帮我用 R 处理数据? [图片更新]

Could anyone help me with the data processing with R? [Picture Updated]

大家早上好!我是 R 编程的新手。最近,我遇到了一些问题。我想处理附件中的图片等数据。一列有两种数据excelfile/table共有9000+行和几列,而有两种数据的列只是其中一列[=14] =]

originaldata

ID Fruit/FruitJuice                                                        
  <dbl> <chr>                                                                          
1     1 NA/applejuice:15(ml)                                                         
2     2 banana:10(kg)/orangejuice:20(ml);tomatojuice:25(ml)                            
3     3 watermelon:10(kg)/NA                                                          
4     4 banana:5(kg);grape:6(kg)/orangejuice:30(ml);applejuice:50(ml);mangojuice:25(ml)

简单描述一下数据,2种数据的栏目分别是水果和果汁,用“/”隔开,括号内有单位,而水果或果汁中的对象用“/”隔开";".

由于实际数据框包含的列比我显示的图像多,我在网上做了一些搜索,但我仍然不知道如何解决它并希望得到最终的 table 如下所示,有人可以帮我吗?谢谢

Final data wish-to-be

      ID `Fruit/FruitJuice`           
 1     1 Fruit_NA                     
 2     1 Fruitjuice_applejuice:15(ml) 
 3     2 Fruit_banana:10(kg)      
 4     2 Fruitjuice_orangejuice:20(ml)
 5     2 Fruitjuice_tomatojuice:25(ml)
 6     3 Fruit_watermelon:10(kg)      
 7     3 Fruitjuice_NA                
 8     4 Fruit_banana:5(kg)           
 9     4 Fruit_grape:6(kg)            
10     4 Fruitjuice_orangejuice:30(ml)
11     4 Fruitjuice_applejuice:50(ml) 
12     4 Fruitjuice_mangojuice:25(ml) 

这是 tidyr 的方法:

library(tidyverse)
data %>% 
   separate(2,into = c("Fruit","FruitJuice"), sep = "/") %>%
   pivot_longer(-ID) %>% separate_rows(value, sep = ";") %>%
   summarise(ID = ID, `Fruit/FruitJuice` = str_c(name,"_",value))
# A tibble: 12 x 2
      ID `Fruit/FruitJuice`           
   <int> <chr>                        
 1     1 Fruit_NA                     
 2     1 FruitJuice_applejuice:15(ml) 
 3     2 Fruit_banana:10(kg)          
 4     2 FruitJuice_orangejuice:20(ml)
 5     2 FruitJuice_tomatojuice:25(ml)
 6     3 Fruit_watermelon:10(kg)      
 7     3 FruitJuice_NA                
 8     4 Fruit_banana:5(kg)           
 9     4 Fruit_grape:6(kg)            
10     4 FruitJuice_orangejuice:30(ml)
11     4 FruitJuice_applejuice:50(ml) 
12     4 FruitJuice_mangojuice:25(ml)