Based on prior knowledge, the feature "day" represents the last contact day of the month. To analyze the relationship between this feature and the task of whether a client subscribes to a term deposit, we can examine the distribution of "day" values for each target class.

Here is the dictionary analysis for the feature "day":

```json
{
	"no": [5.0, 15.0, 25.0, 28.0, 30.0],
	"yes": [10.0, 20.0, 22.0, 27.0, 31.0]
}
```

In this analysis, we have selected 5 typical day values for each target class ('no' and 'yes'). The values provided are just examples and could vary depending on the dataset.