Based on prior knowledge, the feature "pdays" represents the number of days that have passed since the client was last contacted from a previous campaign. To analyze its relationship with the task of whether the client subscribes to a term deposit or not, we can compare the distribution of "pdays" values for each target class ("no" and "yes").

Here is a dictionary with the requested information:

```json
{
    "no": [999.0, 998.0, 997.0, 996.0, 995.0],
    "yes": [1.0, 2.0, 3.0, 4.0, 5.0]
}
```

In the target class "no", typical values of "pdays" are around 995 to 999, indicating that these clients were not contacted in the previous campaign. On the other hand, in the target class "yes", typical values of "pdays" are smaller, ranging from 1 to 5, suggesting that these clients were contacted relatively recently. Note that the values are presented as floats in the dictionary.