在Excel（或R）中将长表转换为宽表[重复]

Question

我需要将我的长 excel 表转换为如图所示的宽表。

我已经可以在 R 和 Tableau Prep 中执行此操作，但是我希望所有空/空白单元格位于每个类别的末尾。不在顶部。 Excel VBA 可能是我最好的选择。但是我不熟悉 VBA。

我在 R 中获取宽表的代码： data_wide

但是，我没有得到最后的空白单元格。

这是我的 R 数据集：

structure(list(Number = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26), 
Theme = c("Summer", "Summer", "Summer", "Summer", "Summer", 
"Summer", "Summer", "Summer", "Summer", "Summer", "Summer", 
"Summer", "Summer", "Summer", "Winter", "Winter", "Winter", 
"Winter", "Winter", "Winter", "Fall", "Fall", "Fall", "Fall", 
"Fall", "Fall"), Description = c("A", "B", "C", "D", "E", 
"F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", 
"R", "S", "T", "U", "V", "W", "X", "Y", "Z"), Sector = c("APPLE", 
"APPLE", "APPLE", "ORANGE", "ORANGE", "ORANGE", "ORANGE", 
"ORANGE", "BANANA", "BANANA", "CHERRY", "CHERRY", "CHERRY", 
"APPLE", "APPLE", "ORANGE", "BANANA", "CHERRY", "CHERRY", 
"APPLE", "APPLE", "ORANGE", "ORANGE", "ORANGE", "CHERRY", 
"CHERRY")), row.names = c(NA, -26L), class = c("tbl_df", 
"tbl", "data.frame"))

Answer 1

要使spread 工作，您需要进行一些预处理。为每个Sector 创建一个行号变量，删除Number 列，然后删除spread。

library(dplyr)

df %>%
  group_by(Sector) %>%
  mutate(row = row_number()) %>%
  select(-Number) %>%
  tidyr::spread(Sector, Description) %>%
  select(-row)

# A tibble: 13 x 5
#   Theme  APPLE BANANA CHERRY ORANGE
#   <chr>  <chr> <chr>  <chr>  <chr> 
# 1 Fall   NA    NA     Y      NA    
# 2 Fall   U     NA     Z      V     
# 3 Fall   NA    NA     NA     W     
# 4 Fall   NA    NA     NA     X     
# 5 Summer A     I      K      D     
# 6 Summer B     J      L      E     
# 7 Summer C     NA     M      F     
# 8 Summer N     NA     NA     G     
# 9 Summer NA    NA     NA     H     
#10 Winter NA    Q      NA     NA    
#11 Winter NA    NA     R      NA    
#12 Winter O     NA     S      NA    
#13 Winter T     NA     NA     P     

或者更短一点的是将Number列本身更改为行索引

df %>%
  group_by(Sector) %>%
  mutate(Number = row_number()) %>%
  tidyr::spread(Sector, Description)