# Run This to Import Libraries import pandas as pd import numpy as np

# Run this to collect Titanic Data titanic = pd.read_csv('titanic_cleaned.csv') titanic

sexes = list(titanic['Sex']) def count(males_and_females): males = 0 females = 0 for person in ...: if ...: males += 1 else: females += 1 print('Number of males: ' + str(males)) print('Number of females: ' + str(females)) count(sexes)

sexes = np.array(titanic['Sex']) def countSexes(array): males = ...(...) females = ...(...) # Don't edit the code below this line print('Number of males: ' + str(males)) print('Number of females: ' + str(females)) countSexes(sexes)

#Run this cell to get a list of classes and a list of fares on the Titanic. classes = list(titanic['Class']) fares = list(titanic['Fare'])

#solution code for average fare function def average_fare_per_class(classes, fares): total_fare_1 = 0 total_fare_2 = 0 total_fare_3 = 0 class1_count = 0 class2_count = 0 class3_count = 0 i = 0 while (i < ...): if ...: total_fare_1 += ... class1_count += 1 elif ...: total_fare_2 += ... class2_count += 1 else: total_fare_3 += ... class3_count += 1 i += 1 return total_fare_1 / class1_count, total_fare_2 / class2_count, total_fare_3 / class3_count print('Average fare of class 1: ' + str(average_fare_per_class(classes, fares)[0])) print('Average fare of class 2: ' + str(average_fare_per_class(classes, fares)[1])) print('Average fare of class 3: ' + str(average_fare_per_class(classes, fares)[2]))

# Run this cell to assign ages to an array corresponding to the Age column in the Titanic table ages = np.array(titanic['Age'])

def averageAge(array): num_of_passengers = ...(...) sum_of_ages = ...(...) return ... / ... # Dont't edit the code below this line averageAge(ages)

# Run this cell to assign survivors to an array corresponding to the Survived column in the Titanic table survivors = np.array(titanic['Survived'])

def countSurvivors(array): return ...(...) countSurvivors(survivors)

# Run this cell to assign group_sizes to an array corresponding to the Family Size column in the Titanic table group_sizes = np.array(titanic['Family Size'])

def countSoloPassengers(array): num_of_passengers = ...(...) group_passengers = ...(...) solo_passengers = ... - ... # Don't edit the code below this line return solo_passengers countSoloPassengers(group_sizes)

ages = list(titanic['Age']) survived = list(titanic['Survived']) names = list(titanic['Name']) def oldest_survivor(ages, survived, names): oldest_survivor_age = 0 oldest_survivor_name = '' i = 0 while (i < ...): if ...: if ... > ...: oldest_survivor_age = ... oldest_survivor_name = ... i += 1 return oldest_survivor_name oldest_survivor(ages, survived, names)