Based on prior knowledge, complete RBBB (Right Bundle Branch Block) on ECG can be associated with various cardiovascular conditions, including chronic heart failure. Therefore, it is likely that the presence of complete RBBB on ECG at the time of admission to the hospital (n_p_ecg_p_12) is related to the occurrence of chronic heart failure.

To analyze the relationship between the feature n_p_ecg_p_12 and the presence of chronic heart failure, we need to examine the distribution of n_p_ecg_p_12 values for each target class (yes and no).

Here's the dictionary with the requested format:

```json
{
	"no": ["no"], 
	"yes": ["yes"]
}
```

It seems that the feature only has two possible values, "no" and "yes". In this case, it is not necessary to include any other values in the dictionary as these two values cover all possibilities.