Big data project | Big data | Florida State University


Big Data Project Proposal

· Titanic Data Set

– On the internet there is a data set available, providing the data on all the passengers who were aboard the RMS Titanic when it sank on 15 April 1912 after colliding with an iceberg in the North Atlantic ocean. Resulting in the death of 1502 out of 2224 passengers and crew.

– With 891 rows and 12 columns, this data set provides a combination of variables based on personal characteristics such as age, class of ticket and sex. 

– While there was some luck involved in surviving, it seems some groups of people were more likely to survive than others.

– The purpose of the project would be to create a model that predicts which passengers survived the Titanic shipwreck. 

– Variables Involved: 

§ Survival (0 = No, 1 = Yes)

§ Ticket class (1 = 1st, 2 = 2nd, 3 = 3rd)

§ Sex 

§ Age in years 

§ # of siblings / spouses aboard the Titanic 

§ # of parents / children aboard the Titanic 

§ Ticket number 

§ Passenger fare 

§ Cabin number 

§ Port of Embarkation

The data available has been split into two groups:

  • training      set (train.csv)
  • test      set (test.csv)

The training set would be used to create the model. The training set contains the outcome (also known as the “ground truth”) for each passenger. The model would be based on “features” like passengers’ gender and class. 

The test set should be used to see how well the model performs on unseen data. The test set does not provide the ground truth for each passenger. 

The outcome needs to be predicted. For each passenger in the test set, the model should be used to predict whether or not they survived the sinking of the Titanic.




The project should not be either too complex nor too simple

The model doesn’t have to be perfect 

These are the topics that this class encompasses: 

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