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Matching data has 1846260
| Trade Date | HS Code | Buyer | Export country | Description of the goods | Origin country | Qty | Cif amount(USD) |
| 2021-08-31 | 8302100090 | sofivall s.a. | N/A | n/a | china | 3,000.0 | 4,673.01 |
| 2021-08-31 | 8205200000 | gimenez marrero gonzalo damian y rodriguez biurra neris ernest | N/A | n/a | china | 36.0 | 73.43 |
| 2021-08-31 | 4819400090 | cafe cafe s.r.l. | N/A | n/a | china | 30,000.0 | 7,176.57 |
| 2021-08-31 | 9603300000 | edintor s.a. | N/A | n/a | china | 480.0 | 300.09 |
| 2021-08-31 | 4421910000 | redin ruglio maria alejandra | N/A | n/a | china | 50.0 | 275.17 |
| 2021-08-31 | 5407521000 | encatex s.a. | N/A | n/a | china | 7,840.0 | 3,859.98 |
| 2021-08-31 | 611490 | universal shipping agencies s.a. | N/A | n/a | china | 1.0 | 9.99 |
| 2021-08-31 | 8714960000 | laureiro alvez luis alejandro | N/A | n/a | china | 50.0 | 12.5 |
| 2021-08-31 | 9102210000 | carlos daniel ferrer molina | N/A | n/a | china | 1.0 | 207.38 |
| 2021-08-31 | 8517629900 | joâo tomaz cassal fonseca | N/A | n/a | china | 7.0 | 397.81 |
| 2021-08-31 | 8528522000 | tenilor s.a. | N/A | n/a | china | 1.0 | 356.09 |
| 2021-08-31 | 6104430000 | jolwer s.a. | N/A | n/a | china | 480.0 | 1,767.95 |
| 2021-08-31 | 8414519090 | maudy s.a. | N/A | n/a | china | 100.0 | 1,144.0 |
| 2021-08-31 | 4823909990 | redelium s.a. | N/A | n/a | china | 600.0 | 133.71 |
| 2021-08-31 | 8431492900 | h petersen s.a. | N/A | n/a | china | 10.0 | 155.97 |
| 2021-08-31 | 8714999000 | mello oddone gonzalo | N/A | n/a | china | 80.0 | 963.62 |
| 2021-08-31 | 8418990010 | carlos gutierrez s.a. | N/A | n/a | china | 6.0 | 8.03 |
| 2021-08-31 | 6110300010 | iaguil s.r.l. | N/A | n/a | china | 170.0 | 1,210.01 |
| 2021-08-31 | 8204110000 | gimenez marrero gonzalo damian y rodriguez biurra neris ernest | N/A | n/a | china | 90.0 | 434.69 |
| 2021-08-31 | 8467299100 | jenson s.a. | N/A | n/a | china | 31.0 | 2,659.98 |
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Analysis of data changing trend about number of transactions,quantity of purchase and the amount of moeny in different periods of market
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Analysis of data changing trend about number of transactions,quantity of purchase and the amount of moeny in different periods of market
Transaction Proportion (Top 10)
Number Of Transactions (Top 10)
Transaction Proportion (Top 10)
Number Of Transactions (Top 10)
Transaction Proportion (Top 10)
Number Of Transactions (Top 10)
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