Analysis:

To determine if the myocardial infarction complications data of this patient shows chronic heart failure, we need to analyze the relationship between the feature "L_BLOOD" (White blood cell count) and the target variable. 

It is important to note that no specific information is provided regarding the ranges of values that indicate chronic heart failure. However, based on prior knowledge, we can make assumptions about the expected ranges of values.

Typically, white blood cell count ranges from 4.5 to 11.0 billion per liter in adults. Higher values may indicate an infection or inflammation. In the context of chronic heart failure, the white blood cell count is often elevated due to inflammation related to the heart condition.

Based on this information, we can assume that higher values of "L_BLOOD" may be associated with chronic heart failure.

Dictionary:

Based on the analysis, the dictionary representing the values of the feature "L_BLOOD" for each target class can be constructed as follows:

```json
{
	"no": [4.8, 4.6, 5.2, 5.1, 5.0],
	"yes": [9.5, 8.9, 10.2, 9.8, 8.6]
}
```
These values are just examples and can vary depending on the dataset being analyzed. The `no` class represents patients without chronic heart failure, while the `yes` class represents patients with chronic heart failure.