Titanic-Kaggle

Predicting the survival of passengers in Titanic crash using the data provided on Kaggle. Visualizing the data on finding some cool trends in the data.

Dataset

https://www.kaggle.com/c/titanic/data

Data Format

VARIABLE DESCRIPTIONS:

{
    survival        Survival
                    (0 = No; 1 = Yes)
    pclass          Passenger Class
                    (1 = 1st; 2 = 2nd; 3 = 3rd)
    name            Name
    sex             Sex
    age             Age
    sibsp           Number of Siblings/Spouses Aboard
    parch           Number of Parents/Children Aboard
    ticket          Ticket Number
    fare            Passenger Fare
    cabin           Cabin
    embarked        Port of Embarkation
                    (C = Cherbourg; Q = Queenstown; S = Southampton)

    SPECIAL NOTES:
    Pclass is a proxy for socio-economic status (SES)
     1st ~ Upper; 2nd ~ Middle; 3rd ~ Lower

    Age is in Years; Fractional if Age less than One (1)
     If the Age is Estimated, it is in the form xx.5

    With respect to the family relation variables (i.e. sibsp and parch)
    some relations were ignored.  The following are the definitions used
    for sibsp and parch.

    Sibling:  Brother, Sister, Stepbrother, or Stepsister of Passenger Aboard Titanic
    Spouse:   Husband or Wife of Passenger Aboard Titanic (Mistresses and Fiances Ignored)
    Parent:   Mother or Father of Passenger Aboard Titanic
    Child:    Son, Daughter, Stepson, or Stepdaughter of Passenger Aboard Titanic

    Other family relatives excluded from this study include cousins,
    nephews/nieces, aunts/uncles, and in-laws.  Some children travelled
    only with a nanny, therefore parch=0 for them.  As well, some
    travelled with very close friends or neighbors in a village, however,
    the definitions do not support such relations.
}