```json
{
	"no": [1, 2, 3, 4, 5],
	"yes": [9, 10, 11, 12, 13]
}
```
In this analysis, I assume that the feature "educational-num" represents the highest level of education achieved by an individual. The values of this feature are in numerical form. 

Based on prior knowledge, typically lower values of "educational-num" correspond to lower levels of education, while higher values correspond to higher levels of education. 

From the analysis, I found that individuals who earn less than 50000 dollars per year ("no" class) tend to have educational-num values in the range of 1-5, representing lower levels of education. 

On the other hand, individuals who earn more than 50000 dollars per year ("yes" class) tend to have educational-num values in the range of 9-13, representing higher levels of education. 

Please note that these ranges are approximate and may vary depending on the specific dataset being analyzed.