Hi,

I have a dichotomous data where some my independent variables are categorical, some are continuous and some are binary(0/1)

My dependent is a binary response (Fail/NoFail,0/1) .

The data is some readings collected everyday over a period of time.

The goal is to use this data and see if we can figure out cause of failure ,the end response.

Example data format

 

 

Date, Type,Mileage,S1,S2,S3.... , Response

03/02/2013,A,32000,1,0,1,......, 1

03/03/2013,B,32400,0,0,0,.......,0

03/04/2013,C,45000,0,1,1,......,1

 

Can we do Time series modeling?? Any suggesstions on what type of other exploratory analysis can be used to figure out patterns in data ??

Thanks
shi
 		 	   		  
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