Based on prior knowledge, the feature "ritm_ecg_p_01" represents the ECG rhythm at the time of admission to the hospital. The feature has two categories: "yes" and "no", indicating whether the patient was admitted with a sinus rhythm and a heart rate of 60-90 beats per minute.

To analyze the relationship between this feature and the occurrence of chronic heart failure as a myocardial infarction complication, we can examine the distribution of the feature values for each target class.

Here is a dictionary showing the possible values of the "ritm_ecg_p_01" feature for each target class:

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

Since the feature only has two categories, both target classes have the same possible feature values. In this case, the dictionary will contain the same lists of possible values for both "no" and "yes" target classes, which include both "yes" and "no" for the "ritm_ecg_p_01" feature.