```json
{
    "yes": [0.0, 1.0, 2.0, 3.0, 4.0],
    "no": [1.0, 2.0, 3.0, 4.0, 5.0]
}
```
Based on prior knowledge, the feature "existing_credits" represents the number of existing credits at the bank. To analyze its relationship with the task of whether the person receives credit, we can examine the values of "existing_credits" for both the "yes" and "no" target classes.

For the "yes" class, typical values for "existing_credits" may include 0, 1, 2, 3, and 4. This suggests that individuals with a lower number of existing credits are more likely to receive credit.

On the other hand, for the "no" class, typical values for "existing_credits" may include 1, 2, 3, 4, and 5. This indicates that individuals with a slightly higher number of existing credits are less likely to receive credit.

Please note that the typical values mentioned above are just examples and may vary depending on the specific dataset and context.