Based on prior knowledge, premature atrial contractions on an electrocardiogram (ECG) can indicate the presence of certain heart conditions. In this case, we are specifically interested in whether the patient with myocardial infarction complications shows chronic heart failure.

To analyze the relationship between the feature "n_r_ecg_p_01" (Premature atrial contractions on ECG at the time of admission to the hospital) and the target variable (presence of chronic heart failure), we can examine the distribution of the feature values among the different classes of the target variable.

Here, the target variable has two classes: "no" and "yes". To determine the relationship between the feature and the target, we need to analyze the distribution of the "n_r_ecg_p_01" values within each class.

Here is a dictionary with the possible values of the feature "n_r_ecg_p_01" for each target class:

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

In this case, the feature value "no" is observed in both the "no" and "yes" classes of the target variable. This suggests that the feature "n_r_ecg_p_01" alone may not be a strong indicator of chronic heart failure in this patient. Further analysis and consideration of additional features may be necessary to determine the presence of chronic heart failure.