[DaraFrame](https://i.stack.imgur.com/UOTSp.png)

Decision which came to my mind is:

```
dataset['Name'].loc[dataset['Sex'] == 'female'].value_counts().idxmax()

```

But here is not such ordinary decision because there are names of female's husband after Mrs and i need to somehowes split it

Input data:

```
df = pd.DataFrame({'Name': ['Braund, Mr. Owen Harris', 'Cumings, Mrs. John Bradley (Florence Briggs Thayer)', 'Heikkinen, Miss. Laina', 'Futrelle, Mrs. Jacques Heath (Lily May Peel)', 'Allen, Mr. William Henry', 'Moran, Mr. James', 'McCarthy, Mr. Timothy J', 'Palsson, Master. Gosta Leonard', 'Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)', 'Nasser, Mrs. Nicholas (Adele Achem)'],
                   'Sex': ['male', 'female', 'female', 'female', 'male', 'male', 'male', 'male', 'female', 'female'],
                   })

Task 4: Name the most popular female name on the ship.
'some code'
Output: Anna      #The most popular female name
Task 5: Name the most popular male name on the ship.
'some code'
Output: Wilhelm   #The most popular male name

```