1 | COVID | 6.06% | |
2 | Against | 6.06% | |
3 | California | 3.03% | |
4 | Damage | 3.03% | |
5 | Sikkim | 3.03% | |
6 | Covid-19 | 3.03% | |
7 | Vaccine | 3.03% | |
8 | MN | 3.03% | |
9 | Infection | 3.03% | |
10 | Jabalpur | 3.03% | |
11 | Woman | 3.03% | |
12 | Video | 3.03% | |
13 | Kidney | 3.03% | |
14 | Raleigh | 3.03% | |
15 | MPs | 3.03% | |
16 | Delivery | 3.03% | |
17 | Dies | 3.03% | |
18 | COVID-19 | 3.03% | |
19 | Schools | 3.03% | |
20 | Week | 3.03% | |
21 | Forecast | 3.03% | |
22 | Shortly | 3.03% | |
23 | Protects | 3.03% | |
24 | Indias | 3.03% | |
25 | Urged | 3.03% | |
26 | Over | 3.03% | |
27 | England | 3.03% | |
28 | Measures | 3.03% | |
29 | Precautionary | 3.03% | |
30 | Africas | 3.03% | |
31 | Covid | 3.03% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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