I have a dataframe with 100k rows and 20 binary variables, one of which is my target.

I would like to apply a Correspondance Analysis (CA) on it, but I have a few doubts:

1. should the target column be included into the CA?

2. CA is a way to analyze a large contingency table. The command table is used to get the contingency table but I get as many 2x2 tables as there are pairwise combinations of variables. Instead, correct me if I'm wrong, I need just one table with the counts for each column relative to my target variable, like:

           var1    var2   ...  var19 
   target
   
     0      73k     45k   ...   60k
   
     1      37k     55k   ...   40k
   

   Is there an R function that does this?

I have a dataframe with 100k rows and 20 binary variables, one of which is my target.

I would like to apply a Correspondence Analysis (CA) on it, but I have a few doubts:

1. should the target column be included into the CA?

2. CA is a way to analyze a large contingency table. The command table is used to get the contingency table but I get as many 2x2 tables as there are pairwise combinations of variables. Instead, correct me if I'm wrong, I need just one table with the counts for each column relative to my target variable, like:

           var1    var2   ...  var19 
   target
   
     0      73k     45k   ...   60k
   
     1      37k     55k   ...   40k
   

   Is there an R function that does this?

I have a dataframe with 100k rows and 20 binary variables, one of which is my target.

I would like to apply CA on it, but I have a few doubts:

1. should the target column be included into the CA?

2. CA is a way to analyze a large contingency table. The command table is used to get the contingency table but I get as many 2x2 tables as there are pairwise combinations of variables. Instead, correct me if I'm wrong, I need just one table with the counts for each column relative to my target variable, like:

           var1    var2   ...  var19 
   target
   
     0      73k     45k   ...   60k
   
     1      37k     55k   ...   40k
   

   Is there an R function that does this?

I have a dataframe with 100k rows and 20 binary variables, one of which is my target.

I would like to apply a Correspondance Analysis (CA) on it, but I have a few doubts:

1. should the target column be included into the CA?

2. CA is a way to analyze a large contingency table. The command table is used to get the contingency table but I get as many 2x2 tables as there are pairwise combinations of variables. Instead, correct me if I'm wrong, I need just one table with the counts for each column relative to my target variable, like:

           var1    var2   ...  var19 
   target
   
     0      73k     45k   ...   60k
   
     1      37k     55k   ...   40k
   

   Is there an R function that does this?