| 1 | Water | 7.46% | |
| 2 | Thames | 4.48% | |
| 3 | Tesla | 2.99% | |
| 4 | OECD | 2.99% | |
| 5 | KKR | 2.99% | |
| 6 | Milano | 1.49% | |
| 7 | Premium | 1.49% | |
| 8 | American | 1.49% | |
| 9 | Dalla | 1.49% | |
| 10 | Sugar | 1.49% | |
| 11 | Bonds | 1.49% | |
| 12 | Europa | 1.49% | |
| 13 | Varese≫ | 1.49% | |
| 14 | Agenda | 1.49% | |
| 15 | dell’Iva | 1.49% | |
| 16 | Delivery | 1.49% | |
| 17 | Tobacco | 1.49% | |
| 18 | Apprehensive | 1.49% | |
| 19 | Nord | 1.49% | |
| 20 | Come | 1.49% | |
| 21 | Dl | 1.49% | |
| 22 | India | 1.49% | |
| 23 | Ne | 1.49% | |
| 24 | Pennon | 1.49% | |
| 25 | AI | 1.49% | |
| 26 | Subway | 1.49% | |
| 27 | Borse | 1.49% | |
| 28 | L’Unione | 1.49% | |
| 29 | L’edito | 1.49% | |
| 30 | Hero | 1.49% | |
| 31 | I’ve | 1.49% | |
| 32 | Reparer | 1.49% | |
| 33 | Borsa | 1.49% | |
| 34 | Donald | 1.49% | |
| 35 | Modello | 1.49% | |
| 36 | NSI | 1.49% | |
| 37 | Italgas | 1.49% | |
| 38 | UK’s | 1.49% | |
| 39 | Glovo | 1.49% | |
| 40 | Trump | 1.49% | |
| 41 | Batteria | 1.49% | |
| 42 | BFMTV | 1.49% | |
| 43 | Studio | 1.49% | |
| 44 | Charles | 1.49% | |
| 45 | Orange | 1.49% | |
| 46 | ≪Seimila | 1.49% | |
| 47 | England | 1.49% | |
| 48 | June’s | 1.49% | |
| 49 | Cdm | 1.49% | |
| 50 | South | 1.49% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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