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

Based on the feature description, "n_p_ecg_p_11" represents whether the patient has incomplete right bundle branch block (RBBB) on the electrocardiogram (ECG) at the time of admission to the hospital. To determine if the patient has chronic heart failure, we need to analyze whether the presence of incomplete RBBB on the ECG is related to chronic heart failure.

From the given feature description, the "n_p_ecg_p_11" has two categories: "no" and "yes". 

To analyze the relationship between "n_p_ecg_p_11" and chronic heart failure, we can examine the distribution of these two categories within the target variable, which indicates whether the patient has chronic heart failure.

If we find that the majority of patients with chronic heart failure have "yes" for "n_p_ecg_p_11", it suggests a potential relationship between incomplete RBBB on ECG and chronic heart failure. On the other hand, if the majority of patients without chronic heart failure have "no" for "n_p_ecg_p_11", it implies a potential lack of relationship between these two variables.

After analyzing the relationship, we can create a dictionary as shown above. Since the feature only has two categories, we include all possible values of "n_p_ecg_p_11" for both target classes, "no" and "yes".