| 1 | Travel | 8.11% | |
| 2 | Bank | 2.7% | |
| 3 | Multigenerational | 2.7% | |
| 4 | Forecasts | 2.7% | |
| 5 | Explore | 2.7% | |
| 6 | IndiGo | 2.7% | |
| 7 | Mumbai | 2.7% | |
| 8 | Cater | 2.7% | |
| 9 | Disrupt | 2.7% | |
| 10 | Africans | 2.7% | |
| 11 | Zanzibar | 2.7% | |
| 12 | Issue | 2.7% | |
| 13 | Overseas | 2.7% | |
| 14 | Europe | 2.7% | |
| 15 | Spike | 2.7% | |
| 16 | Tanzania | 2.7% | |
| 17 | Heavy | 2.7% | |
| 18 | India | 2.7% | |
| 19 | Air | 2.7% | |
| 20 | Government | 2.7% | |
| 21 | Here’s | 2.7% | |
| 22 | World | 2.7% | |
| 23 | Workforce | 2.7% | |
| 24 | Rains | 2.7% | |
| 25 | Modernise | 2.7% | |
| 26 | Incentive | 2.7% | |
| 27 | Advisories | 2.7% | |
| 28 | China | 2.7% | |
| 29 | UK | 2.7% | |
| 30 | South | 2.7% | |
| 31 | SpiceJet | 2.7% | |
| 32 | Passengers | 2.7% | |
| 33 | Boat | 2.7% | |
| 34 | Dragon | 2.7% | |
| 35 | Festival | 2.7% | |
|
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
|
|||