The question seems to be asking for a way to determine the proportion of passengers who survived based on their passenger class from a dataset. However, the dataset and the programming language are not clearly specified.

Assuming the dataset is from the Titanic disaster and the programming language is Python using pandas library, here is a step-by-step guide:

1. Import the necessary libraries:
```python
import pandas as pd
```

2. Load your dataset:
```python
df = pd.read_csv('your_dataset.csv')
```

3. Create a cross-tabulation of 'Survived' and 'Pclass':
```python
cross_tab = pd.crosstab(df['Pclass'], df['Survived'])
```

4. To get the proportion, divide each value by the sum of values in the row:
```python
proportion = cross_tab.div(cross_tab.sum(axis=1), axis=0)
```

This will give you a new DataFrame where the values in each row add up to 1, representing the proportion of passengers who survived and didn't survive in each passenger class.

Question

The question seems to be asking for a way to determine the proportion of passengers who survived based on their passenger class from a dataset. However, the dataset and the programming language are not clearly specified.

Assuming the dataset is from the Titanic disaster and the programming language is Python using pandas library, here is a step-by-step guide:

1. Import the necessary libraries:
```python
import pandas as pd
```

2. Load your dataset:
```python
df = pd.read_csv('your_dataset.csv')
```

3. Create a cross-tabulation of 'Survived' and 'Pclass':
```python
cross_tab = pd.crosstab(df['Pclass'], df['Survived'])
```

4. To get the proportion, divide each value by the sum of values in the row:
```python
proportion = cross_tab.div(cross_tab.sum(axis=1), axis=0)
```

This will give you a new DataFrame where the values in each row add up to 1, representing the proportion of passengers who survived and didn't survive in each passenger class.

Knowee AI · Accepted Answer

The question seems to be asking for a way to determine the proportion of passengers who survived based on their passenger class from a dataset. However, the dataset and the programming language are not clearly specified.

Assuming the dataset is from the Titanic disaster and the programming language is Python using pandas library, here is a step-by-step guide:

1. Import the necessary libraries:
```python
import pandas as pd
```

2. Load your dataset:
```python
df = pd.read_csv('your_dataset.csv')
```

3. Create a cross-tabulation of 'Survived' and 'Pclass':
```python
cross_tab = pd.crosstab(df['Pclass'], df['Survived'])
```

4. To get the proportion, divide each value by the sum of values in the row:
```python
proportion = cross_tab.div(cross_tab.sum(axis=1), axis=0)
```

This will give you a new DataFrame where the values in each row add up to 1, representing the proportion of passengers who survived and didn't survive in each passenger class.

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