I am working on my first paper and I feel quite lost with the statistical method. Hope you can help me!

I am comparing two samples from different populations (i.e. sample 1, n=478 and sample 2 (n = 502)) with 10 categories each (i.e. category A, B, C...) to see if there is a significant difference between both samples. The date are shown below. For such purpose I used a chi-squared test and I obtained a P value < 0.05, which, as far as I know, means that both samples are significantly different from each other. However, by looking at the data, it seems clear that there are just some groups that

*really*differ from each other. I would like to know if:

1. Chi squared was the right test or I'd rather use another one.

2. In the case chi-squared was the right test, is there any other method to highlight if there are significant differences in only some of the categories studied.

3. There is a quite important number of common subjects in both groups (142 in total). Is there anything I should add or take into account to avoid any bias because of this?

Here I add the data in case they are useful:

Categories: A B C D E F G H I J

Sample 1) 42 68 68 38 73 31 32 37 53 36

Sample 2) 50 70 83 65 41 25 31 40 58 39

Thanks in advance!