1 | Bainimarama | 3.7% | |
2 | Former | 3.7% | |
3 | Baltimore | 3.7% | |
4 | Trump | 3.7% | |
5 | Highest | 1.85% | |
6 | Nature | 1.85% | |
7 | War | 1.85% | |
8 | Australia | 1.85% | |
9 | GIANT | 1.85% | |
10 | Prehistoric | 1.85% | |
11 | Qiliho | 1.85% | |
12 | Fiji | 1.85% | |
13 | Arvind | 1.85% | |
14 | Shopper | 1.85% | |
15 | Giant | 1.85% | |
16 | New | 1.85% | |
17 | Dolphin | 1.85% | |
18 | Illinois | 1.85% | |
19 | Lieberman | 1.85% | |
20 | Kejriwal | 1.85% | |
21 | York | 1.85% | |
22 | Israel | 1.85% | |
23 | Victor | 1.85% | |
24 | ROBOT | 1.85% | |
25 | CM | 1.85% | |
26 | Sen. | 1.85% | |
27 | Farrant | 1.85% | |
28 | India | 1.85% | |
29 | Frank | 1.85% | |
30 | Kharkiv | 1.85% | |
31 | Eastman | 1.85% | |
32 | Joe | 1.85% | |
33 | World | 1.85% | |
34 | Istanbul | 1.85% | |
35 | Photography | 1.85% | |
36 | PR | 1.85% | |
37 | China | 1.85% | |
38 | Donald | 1.85% | |
39 | Delhi | 1.85% | |
40 | Rafah | 1.85% | |
41 | ex-Donald | 1.85% | |
42 | Amazon | 1.85% | |
43 | US | 1.85% | |
44 | Haiti | 1.85% | |
45 | Found | 1.85% | |
46 | Ukraine | 1.85% | |
47 | Hail | 1.85% | |
48 | Battle | 1.85% | |
49 | FREAKIN | 1.85% | |
50 | John | 1.85% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|