Based on my prior knowledge, exercise-induced angina can be an important indicator of heart disease. Angina refers to chest pain or discomfort that occurs when the heart muscle doesn't get enough oxygen-rich blood, usually during physical exertion or emotional stress. In this case, the presence or absence of exercise-induced angina can provide information about the likelihood of heart disease.

To complete the analysis, we need to examine the relationship between the feature "ExerciseAngina" and the target variable "heart disease" (as indicated by coronary angiography).

Based on the task, we are trying to determine if the patient has heart disease (yes or no). To analyze this relationship, we need to identify the possible values of the "ExerciseAngina" feature for each target class.

Here is the analysis result:

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

Explanation:
- For the target class "no" (i.e., if the coronary angiography does not show heart disease), the possible value of the "ExerciseAngina" feature is "N" (meaning no exercise-induced angina).
- For the target class "yes" (i.e., if the coronary angiography shows heart disease), the possible value of the "ExerciseAngina" feature is "Y" (meaning the presence of exercise-induced angina).

Please note that the analysis assumes a binary classification (heart disease vs. no heart disease) based on the coronary angiography results. If there are additional target classes or more complex relationships, further analysis may be required.