Based on prior knowledge, the feature "campaign" represents the number of contacts performed during a campaign for a specific client. To analyze the relationship between this feature and the task of whether the client subscribed to a term deposit or not, we can analyze the distribution of campaign values for each target class.

Here's the analysis:

- For clients who did not subscribe to a term deposit ('no'), some typical values of the campaign could be: 1, 2, 3, 4, 5.
- For clients who subscribed to a term deposit ('yes'), some typical values of the campaign could be: 1, 2, 3, 4, 5.

Based on this analysis, we can create the following dictionary:

```json
{
	"no": [1.0, 2.0, 3.0, 4.0, 5.0],
	"yes": [1.0, 2.0, 3.0, 4.0, 5.0]
}
```