Based on prior knowledge, the feature "ritm_ecg_p_01" represents the ECG rhythm at the time of admission to the hospital. The possible values for this feature are "yes" and "no", indicating whether the ECG rhythm is sinus with a heart rate of 60-90 or not.

To analyze the relationship between the feature and the task of determining if the patient has chronic heart failure, we can look at the distribution of the feature values for each target class.

Here is a possible analysis and dictionary:

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

Explanation:
- For the target class "no", the possible value for the feature "ritm_ecg_p_01" is only "yes". It suggests that patients without chronic heart failure mostly have a sinus rhythm with a heart rate of 60-90.
- For the target class "yes", the possible values for the feature "ritm_ecg_p_01" are both "yes" and "no". It indicates that patients with chronic heart failure can have either a sinus rhythm with a heart rate of 60-90 or a different rhythm.

Please note that this is just an example analysis based on the information provided. The actual relationship between the feature and the target variable might require further investigation and consideration of additional factors.