Data prepration for logistic regression : Value either “not available” or a “year”












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I have some data of houses that have been renovated.



In my data there is one column (among others) that captures this information.



It is either "-1" if there has not been yet any renovation, or the information is the year of renovation like "1995" or "2008".



I would like to apply logistic regression.



However, I do not know how to treat this value.



IMHO it looks like a missing value although it is not a missing information.



So, does anybody have an idea how to put these (unordered) values into relation to the ordered years?



On alternative I could think of is binning the information. Like 1990-1995, 1996-2000,...2016-2019.



Any suggestions are highly appreciated.










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    0












    $begingroup$


    I have some data of houses that have been renovated.



    In my data there is one column (among others) that captures this information.



    It is either "-1" if there has not been yet any renovation, or the information is the year of renovation like "1995" or "2008".



    I would like to apply logistic regression.



    However, I do not know how to treat this value.



    IMHO it looks like a missing value although it is not a missing information.



    So, does anybody have an idea how to put these (unordered) values into relation to the ordered years?



    On alternative I could think of is binning the information. Like 1990-1995, 1996-2000,...2016-2019.



    Any suggestions are highly appreciated.










    share|improve this question







    New contributor




    toom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















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      0








      0





      $begingroup$


      I have some data of houses that have been renovated.



      In my data there is one column (among others) that captures this information.



      It is either "-1" if there has not been yet any renovation, or the information is the year of renovation like "1995" or "2008".



      I would like to apply logistic regression.



      However, I do not know how to treat this value.



      IMHO it looks like a missing value although it is not a missing information.



      So, does anybody have an idea how to put these (unordered) values into relation to the ordered years?



      On alternative I could think of is binning the information. Like 1990-1995, 1996-2000,...2016-2019.



      Any suggestions are highly appreciated.










      share|improve this question







      New contributor




      toom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I have some data of houses that have been renovated.



      In my data there is one column (among others) that captures this information.



      It is either "-1" if there has not been yet any renovation, or the information is the year of renovation like "1995" or "2008".



      I would like to apply logistic regression.



      However, I do not know how to treat this value.



      IMHO it looks like a missing value although it is not a missing information.



      So, does anybody have an idea how to put these (unordered) values into relation to the ordered years?



      On alternative I could think of is binning the information. Like 1990-1995, 1996-2000,...2016-2019.



      Any suggestions are highly appreciated.







      logistic-regression missing-data






      share|improve this question







      New contributor




      toom is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







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