q1 = data['Sex'].value_counts()
print(q1['male'], q1['female'])
q2 = data['Survived'].value_counts()
print(100 * round(q2[1] / sum(q2), ndigits=2))#(q2[0] + q2[1]), ndigits=2))
q3 = data['Pclass'].value_counts()
print(100 * round(q3[1] / sum(q3), ndigits=2))
q4 = data['Age']
print(round(q4.mean(), ndigits=2), round(q4.median(), ndigits=2))
q5 = data.corr(method='pearson')['SibSp']['Parch'].round(decimals=2)
print(q5)
q6 = data['Name']