Analyzing the relationship between the feature "inf_im" and the presence of chronic heart failure in patients with myocardial infarction complications can be done by examining the distribution of different "inf_im" values among those patients who do and do not have chronic heart failure.

We can start by dividing the patients into two groups based on the presence or absence of chronic heart failure:

Group 1: Patients with chronic heart failure (Yes)
Group 2: Patients without chronic heart failure (No)

Now, let's analyze the distribution of the "inf_im" values in each group:

Group 1 (Yes):
- "there is no infarct in this location"
- "QRS is like Qr-complex"
- "QRS is like QR-complex"
- "QRS has no changes"

Group 2 (No):
- "there is no infarct in this location"
- "QRS is like Qr-complex"
- "QRS has no changes"

Based on this analysis, we can create the dictionary:

```json
{
    "no": ["there is no infarct in this location", "QRS is like Qr-complex", "QRS has no changes"],
    "yes": ["there is no infarct in this location", "QRS is like Qr-complex", "QRS is like QR-complex", "QRS has no changes"]
}
```

Note: Since the feature description doesn't provide enough information to determine the relationship between the specific "inf_im" values and the presence of chronic heart failure, we include all the values that appear in each group.