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总记录数: 43169
=== 数值/时间字段 min/max ===
transaction_time: min = 2023-01-03 00:03:48, max = 2023-12-23 23:12:51
entrance_time: min = 2023-01-03 00:01:24, max = 2023-12-23 22:56:31
pay_fee: min = 0, max = 20596
discount_fee: min = 0, max = 4625
fee_mileage: min = 0.0, max = 9616.0
obu_fee_sum_before: min = , max =
obu_fee_sum_after: min = , max =
pay_fee_prov_sum_local: min = , max =
=== 枚举/状态字段取值分布 (全部取值) ===
字段 gantry_type: 不同取值个数 = 3
'1': 43158
'3': 10
'2': 1
字段 media_type: 不同取值个数 = 2
'2': 23132
'1': 20037
字段 vehicle_type: 不同取值个数 = 14
'1': 30367
'11': 6943
'0': 3917
'13': 933
'16': 220
'12': 193
'14': 164
'2': 127
'4': 105
'3': 78
'22': 66
'21': 34
'23': 17
'24': 5
字段 vehicle_sign: 不同取值个数 = 2
'0xff': 43116
'0x04': 53
字段 transaction_type: 不同取值个数 = 1
'9.0': 43169
字段 pass_state: 不同取值个数 = 2
'1.0': 43132
'2.0': 37
字段 entrance_lane_type: 不同取值个数 = 5
'01': 22756
'03': 16494
'': 3917
'04': 1
'02': 1
字段 axle_count: 不同取值个数 = 7
'2.0': 27921
'255.0': 13911
'6.0': 966
'4.0': 170
'3.0': 154
'5.0': 46
'144.0': 1
字段 cpu_card_type: 不同取值个数 = 3
'': 23132
'2.0': 18433
'1.0': 1604
字段 fee_prov_begin_hex: 不同取值个数 = 1
'000000': 43169
字段 total_weight: 不同取值个数 = 636
'0.0': 34588
'18000.0': 4830
'31000.0': 132
'49000.0': 105
'25000.0': 97
'2200.0': 71
'46000.0': 57
'2300.0': 54
'1800.0': 53
'1600.0': 48
'2400.0': 46
'1850.0': 44
'1900.0': 43
'1500.0': 41
'2000.0': 40
'2350.0': 40
'1700.0': 39
'1450.0': 38
'1400.0': 34
'2250.0': 34
'1750.0': 33
'2500.0': 27
'1950.0': 27
'2050.0': 26
'1550.0': 25
'2150.0': 24
'49650.0': 24
'26000.0': 23
'2100.0': 22
'2550.0': 22
'1350.0': 21
'17350.0': 21
'2240.0': 20
'2260.0': 20
'2450.0': 20
'17450.0': 20
'2700.0': 19
'1650.0': 19
'50350.0': 18
'2180.0': 17
'50050.0': 17
'2140.0': 16
'2440.0': 16
'3300.0': 16
'2750.0': 16
'50550.0': 16
'18100.0': 16
'3000.0': 15
'2600.0': 15
'2420.0': 15
'2850.0': 15
'17850.0': 15
'2900.0': 14
'17400.0': 14
'16400.0': 14
'51100.0': 14
'2080.0': 13
'3400.0': 13
'49750.0': 13
'2380.0': 12
'2280.0': 12
'2220.0': 12
'2020.0': 12
'3680.0': 12
'2800.0': 12
'1840.0': 12
'39000.0': 12
'16750.0': 12
'48900.0': 12
'17050.0': 12
'1580.0': 11
'1820.0': 11
'3550.0': 11
'50800.0': 11
'51350.0': 11
'51000.0': 11
'50900.0': 11
'50850.0': 11
'2120.0': 10
'4740.0': 10
'1560.0': 10
'1480.0': 10
'1720.0': 10
'3500.0': 10
'2360.0': 10
'4100.0': 10
'17300.0': 10
'16600.0': 10
'1760.0': 10
'49800.0': 10
'18900.0': 10
'16150.0': 10
'7950.0': 10
'3200.0': 9
'1340.0': 9
'3780.0': 9
'5300.0': 9
'5700.0': 9
'2340.0': 9
'1420.0': 9
'3900.0': 9
'1660.0': 9
'1520.0': 9
'2950.0': 9
'4450.0': 9
'3750.0': 9
'16800.0': 9
'17500.0': 9
'18400.0': 9
'51450.0': 9
'3080.0': 8
'2460.0': 8
'3060.0': 8
'3100.0': 8
'1780.0': 8
'4360.0': 8
'49200.0': 8
'4000.0': 8
'3600.0': 8
'2760.0': 8
'3950.0': 8
'5000.0': 8
'3050.0': 8
'18500.0': 8
'16050.0': 8
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'51300.0': 8
'16550.0': 8
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'4700.0': 7
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'17600.0': 7
'2680.0': 7
'3220.0': 7
'2540.0': 7
'2560.0': 7
'1960.0': 7
'51250.0': 7
'1250.0': 7
'49350.0': 7
'16300.0': 7
'17000.0': 7
'50950.0': 7
'47400.0': 7
'18050.0': 7
'16100.0': 7
'50450.0': 7
'15950.0': 7
'3980.0': 6
'2160.0': 6
'2040.0': 6
'1680.0': 6
'49500.0': 6
'2520.0': 6
'1940.0': 6
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'4600.0': 6
'2480.0': 6
'18480.0': 6
'3650.0': 6
'6050.0': 6
'1300.0': 6
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'18600.0': 6
'15800.0': 6
'15350.0': 6
'50150.0': 6
'42000.0': 6
'50500.0': 6
'48950.0': 6
'19100.0': 6
'16350.0': 6
'17900.0': 6
'7600.0': 6
'4150.0': 6
'45250.0': 6
'6700.0': 6
'18450.0': 6
'7780.0': 5
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字段 fee: 不同取值个数 = 393
'0': 5616
'1536': 2651
'908': 2403
'1617': 2127
'956': 1936
'1727': 1907
'1818': 1215
'1252': 1129
'1051': 985
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'2003': 291
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