Whatever analysis you have in mind, I would suggest starting with some 'simple' graphs (reading the appropriate documentation if you need to). As an example (not a recommendation):
![Screenshot 2021-09-10 at 14.31.33.png Screenshot 2021-09-10 at 14.31.33.png](https://community.jmp.com/t5/image/serverpage/image-id/35691i550D4CE7FB631408/image-size/large?v=v2&px=999)
Since you know what the variables actually mean and what questions you want to address, you should soon be able to find a useful way to look at the data.