I have a large dataset which, simplified, looks something like this:
Year | Name | January | February | March | April | May | Street |
---|---|---|---|---|---|---|---|
2000 | Bob | $100 | $197 | $124 | $100 | ABC | |
2000 | Abe | $100 | $100 | $117 | $123 | $100 | ABC |
2001 | Bob | $100 | $100 | $197 | $103 | $150 | DEF |
2001 | Abe | $140 | $100 | $127 | $526 | $123 | ABC |
2002 | Abe | $100 | $100 | $198 | $102 | $101 | DEF |
2002 | Bob | $102 | $110 | ABC | |||
2003 | Carly | $100 | $100 | $197 | ABC |
I am trying to combine this data so that each person has one line, with the goal of counting and graphing how many months they paid in a row.
I was thinking of trying to recode the data so that each person gets their own row, with a timeline of how much they paid by year and season, with column names like this, but I am having trouble figuring out how to do that.
Name | 2000 January | 2000 February | 2000 March | 2000 April | 2000 May | 2001 January | 2001 February | 2001 March | 2001 April | 2001 May | 2002 January | 2002 February | 2002 March | 2002 April | 2002 May | Street |
---|
Is there a way to condense variables in this way somehow?
Thank you so much!