| 1 | Travel | 5.56% | |
| 2 | Best | 3.7% | |
| 3 | Inspired | 1.85% | |
| 4 | Pibrac. | 1.85% | |
| 5 | Pradesh | 1.85% | |
| 6 | Australia | 1.85% | |
| 7 | Day | 1.85% | |
| 8 | NFL | 1.85% | |
| 9 | Boutique | 1.85% | |
| 10 | Cerceda | 1.85% | |
| 11 | Age | 1.85% | |
| 12 | Canelli | 1.85% | |
| 13 | Yucatan | 1.85% | |
| 14 | Oro | 1.85% | |
| 15 | Golden | 1.85% | |
| 16 | NYT | 1.85% | |
| 17 | Merge | 1.85% | |
| 18 | Accidentado | 1.85% | |
| 19 | Meetings | 1.85% | |
| 20 | Sono | 1.85% | |
| 21 | Andhra | 1.85% | |
| 22 | Hotel | 1.85% | |
| 23 | Ce | 1.85% | |
| 24 | Arezzo | 1.85% | |
| 25 | Island | 1.85% | |
| 26 | Heavy | 1.85% | |
| 27 | Was | 1.85% | |
| 28 | Maya | 1.85% | |
| 29 | Tanabata | 1.85% | |
| 30 | Italie | 1.85% | |
| 31 | Detroit | 1.85% | |
| 32 | Inscriptions | 1.85% | |
| 33 | Cabarceno | 1.85% | |
| 34 | Cortona | 1.85% | |
| 35 | Vallenata | 1.85% | |
| 36 | Berruyer | 1.85% | |
| 37 | Tren | 1.85% | |
| 38 | Parisian | 1.85% | |
| 39 | UK | 1.85% | |
| 40 | Long | 1.85% | |
| 41 | Bondigoux. | 1.85% | |
| 42 | Newberry | 1.85% | |
| 43 | Ahead? | 1.85% | |
| 44 | Espana | 1.85% | |
| 45 | US | 1.85% | |
| 46 | Vallenato | 1.85% | |
| 47 | Piemonte | 1.85% | |
| 48 | Siglo | 1.85% | |
| 49 | Leyenda | 1.85% | |
| 50 | Serge | 1.85% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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