# Normalize two values drawn from same dataset?

Background: I have the following data `A` and `B`:

`A`:

``````Total Followers:
False    7158961    # 9374155
True     2215194

Total Tweets:
False    1113       # 1559
True      446

Followers per tweet (False):
False_A = 7158961 / 1113
False_A
Output:
6432

Followers per tweet (True):
True_A = 2215194 / 446
True_A
Output:
4966
``````

`B`:

``````Total Followers:
False    8481276   # 9374155
True     892879

Total Tweets:
False    1368       # 1559
True      191

Followers per tweet (False):
False_B = 8481276 / 1368
False_B
Output:
6199

Followers per tweet (True):
True_B = 892879 / 191
True_B
Output:
4674
``````

Questions:

1) Given that these values are from the same dataset (e.g. `followers = 9374155`; `tweets = 1559`), is it valid to directly compare `True_A (4966)` to `True_B (4674)` and thus state the following: `True_A` has more followers per tweet compared to `True_B`?

2) Or do I need to normalize?

3) If I need to normalize, how would I do so?