将变量拆分为多个变量

Question

我在 Stata 中有一个数据集，如下所示

ID    Product     Region                        Sales
001   JSF045      East~West~North               45~78~14
002   JSF056      East~West                     56~35
003   GWW1        West~North~South~South East   11~16~45~36  

我想将 Region 和 Sales 变量拆分为单独的变量（在 ~ 处分隔）。每行都有不同数量的区域和销售数字，但对于每一行，一个区域将对应一个销售数字。我在下面介绍了我希望最终数据的外观。

我希望最终的数据如下所示

ID    Product     Region            Sales
001   JSF045      East              45
001   JSF045      West              78
001   JSF045      North             14
002   JSF056      East              56
002   JSF056      West              35
003   GWW1        West              11
003   GWW1        North             16 
003   GWW1        South             45  
003   GWW1        South East        36  

Answer 1

* Example generated by -dataex-. For more info, type help dataex
clear
input str3 ID str6 Product str27 Region str11 Sales
"001" "JSF045" "East~West~North"             "45~78~14"   
"002" "JSF056" "East~West"                   "56~35"      
"003" "GWW1"   "West~North~South~South East" "11~16~45~36"
end

split Region, parse("~")
split Sales, parse("~") destring 
drop Region Sales 

reshape long Region Sales, i(ID) j(which)
drop if missing(Region)

list, sepby(ID)

     +--------------------------------------------+
     |  ID   which   Product       Region   Sales |
     |--------------------------------------------|
  1. | 001       1    JSF045         East      45 |
  2. | 001       2    JSF045         West      78 |
  3. | 001       3    JSF045        North      14 |
     |--------------------------------------------|
  4. | 002       1    JSF056         East      56 |
  5. | 002       2    JSF056         West      35 |
     |--------------------------------------------|
  6. | 003       1      GWW1         West      11 |
  7. | 003       2      GWW1        North      16 |
  8. | 003       3      GWW1        South      45 |
  9. | 003       4      GWW1   South East      36 |
     +--------------------------------------------+