In this problem, we will determine the distribution of males and females for each of the three passenger classes, and for each of the two survival outcomes. To accomplish this task, we will first need to add two new columns to the titanic DataFrame. Add two new columns to titanic. The names of the new columns should be Female and Male. The values in the Female column should be equal to 1 for any record corresponding to a female, and 0 for any record corresponding to a male. The values in the Male column should be equal to 1 for any record corresponding to a male, and 0 for any record corresponding to a female. This task can be accomplished in a number of ways, but I would recommend using np.where() along with the Sex column. Use the head () method to display the first 8 rows of the new titanic DataFrame. Create a DataFrame named sex_dist_by_class by selecting the Pclass, Female, and Male columns from titanic, grouping the results by Pclass, and then summing the remaining two columns within each group. Display this DataFrame. Create a DataFrame named sex_dist_by_outcome by selecting the Survived, Female, and Male columns from titanic, grouping the results by Survived, and then summing the remaining two columns within each group. Display this DataFrame.