Based on prior knowledge, the feature "campaign" represents the number of contacts performed during a campaign for a particular client. It is a numeric variable, and the appropriate range of values for campaign can be determined by considering the typical number of contacts made during a marketing campaign.

To analyze the relationship between the feature "campaign" and the task of whether the client subscribes to a term deposit or not, one approach is to compare the distribution of campaign values for each target class ('no' and 'yes').

Here is a dictionary with the typical campaign values for each target class:
```json
{
	"no": [1.0, 2.0, 3.0, 4.0, 5.0],
	"yes": [1.0, 2.0, 3.0, 4.0, 5.0]
}
```

In this case, 5 typical campaign values (1.0, 2.0, 3.0, 4.0, 5.0) have been selected for each target class ('no' and 'yes'). This implies that for both target classes, clients have been contacted with campaign values ranging from 1 to 5. The actual range of values may vary, but these values can be considered representative.