How to transform features order to make their distribution normal?












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After sns.pairplot(df) command, I got this picture:enter image description here



The question is what transformation to use in order to make the distributions normal?



Thank you










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    1












    $begingroup$


    After sns.pairplot(df) command, I got this picture:enter image description here



    The question is what transformation to use in order to make the distributions normal?



    Thank you










    share|improve this question









    $endgroup$




    bumped to the homepage by Community 31 mins ago


    This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.


















      1












      1








      1





      $begingroup$


      After sns.pairplot(df) command, I got this picture:enter image description here



      The question is what transformation to use in order to make the distributions normal?



      Thank you










      share|improve this question









      $endgroup$




      After sns.pairplot(df) command, I got this picture:enter image description here



      The question is what transformation to use in order to make the distributions normal?



      Thank you







      machine-learning python linear-regression






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      asked Nov 21 '18 at 23:36









      Sukhrat ArziyevSukhrat Arziyev

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      bumped to the homepage by Community 31 mins ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.







      bumped to the homepage by Community 31 mins ago


      This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
























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          Just looking at a pairplot isn't enough to suggest changes, in my opinion. Moreover, what are you trying to test? What is your null hypothesis, what is the alternative hypothesis? What kind of data is it, how neat was your collection process? Are there any co-variables?



          With the info provided, all I can suggest is to perform parametric and non-parametric tests. May try Box-Cox transformation!






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            $begingroup$

            Just looking at a pairplot isn't enough to suggest changes, in my opinion. Moreover, what are you trying to test? What is your null hypothesis, what is the alternative hypothesis? What kind of data is it, how neat was your collection process? Are there any co-variables?



            With the info provided, all I can suggest is to perform parametric and non-parametric tests. May try Box-Cox transformation!






            share|improve this answer









            $endgroup$


















              0












              $begingroup$

              Just looking at a pairplot isn't enough to suggest changes, in my opinion. Moreover, what are you trying to test? What is your null hypothesis, what is the alternative hypothesis? What kind of data is it, how neat was your collection process? Are there any co-variables?



              With the info provided, all I can suggest is to perform parametric and non-parametric tests. May try Box-Cox transformation!






              share|improve this answer









              $endgroup$
















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                $begingroup$

                Just looking at a pairplot isn't enough to suggest changes, in my opinion. Moreover, what are you trying to test? What is your null hypothesis, what is the alternative hypothesis? What kind of data is it, how neat was your collection process? Are there any co-variables?



                With the info provided, all I can suggest is to perform parametric and non-parametric tests. May try Box-Cox transformation!






                share|improve this answer









                $endgroup$



                Just looking at a pairplot isn't enough to suggest changes, in my opinion. Moreover, what are you trying to test? What is your null hypothesis, what is the alternative hypothesis? What kind of data is it, how neat was your collection process? Are there any co-variables?



                With the info provided, all I can suggest is to perform parametric and non-parametric tests. May try Box-Cox transformation!







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 22 '18 at 11:48









                Random NerdRandom Nerd

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