Hi, everyone!
I need to perform a bar graph with 2 variables containing 4 categories each.
The 2 variables are treat1 and treat2.
The categories were labeled as: 1 == "lowdose" 2 == good_treat 3 == "overdose" 4 == nd.
I want a vertical bar graph demonstrating the percentage of treat1 and treat2 for each category (lowdose, good_treat, overdose and nd).
That is, the 4 categories on x axis and each category with 2 bars (treat1 and treat2 percentages).

I'm really sorry! I've searched it on previous posts about the same issue (like "how to graph bar of categorical variables", "A simple graph bar" and "(possibly) simple bar graph comparing two variables (not one variable over the other)", but I didn't make it as I wish using those informations.

That is an example of my data:
list treat1 treat2

+---------------------+
| treat1 treat2 |
|---------------------|
1. | 1 2 |
2. | 2 4 |
3. | 2 2 |
4. | 2 2 |
5. | 4 2 |
|---------------------|
6. | 4 1 |
7. | 4 3 |
8. | 1 2 |
9. | 1 2 |
10. | 1 2 |
|---------------------|
11. | 4 1 |
12. | 3 4 |
13. | 2 4 |
14. | 4 2 |
15. | 4 4 |
|---------------------|
16. | 2 2 |
17. | 2 4 |
18. | 4 2 |
19. | 2 2 |
20. | 2 2 |
|---------------------|
21. | 2 1 |
22. | 4 2 |
23. | 4 3 |
24. | 2 1 |
25. | 1 2 |
|---------------------|
26. | 3 1 |
27. | 2 2 |
28. | 2 2 |
29. | 1 2 |
30. | 1 2 |
|---------------------|
31. | 2 2 |
32. | 2 1 |
33. | 3 4 |
34. | 2 3 |
35. | 1 2 |
|---------------------|
36. | 2 2 |
37. | 2 2 |
38. | 1 1 |
39. | 4 2 |
40. | 2 2 |
|---------------------|
41. | 2 4 |
42. | 4 2 |
43. | 4 1 |
44. | 2 3 |
45. | 2 2 |
|---------------------|
46. | 4 3 |
47. | 2 2 |
48. | 2 2 |
49. | 3 4 |
50. | 2 1 |
|---------------------|

label values treat1 origin
label def origin 1 "lowdose", modify
label def origin 2 "good_treat", modify
label def origin 3 "overdose", modify
label def origin 4 "nd", modify

label values treat2 origin
label def origin 1 "lowdose", modify
label def origin 2 "good_treat", modify
label def origin 3 "overdose", modify
label def origin 4 "nd", modify

I thank in advance for the help!