# Normalization
def normalization(column):
    mean = sum(column) / len(column)
    std_dev = (1 / len(column) * sum([(x_i - mean) ** 2 for x_i in column])) ** 0.5
    z_scores = [(x_i - mean) / std_dev for x_i in column]
    return z_scores