As a part of Teradata Data Challenge, for the fund raising in Bike Champaign, a strategy had to be decided to attract more participants. So this survival analysis basically checks what kind of participants last longer and help us to analyze the pattern of surviving more clearer. It also helps us to analyze the participant churn and target the right audience. Here the survival analysis is performed on the following factors.
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Is gender affecting the participance?
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Is the team division of the participant is affecting their participation?
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If their prior participation in campaign encourage them to participate again?!
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Are participants more likely to stay if they have some friends/family/office colleague in the campaign?
Please refer participant_survival_analysis.R
In the code till line 77 Data cleaning process is performed. The later part is the code for survival analysis.