Overview

Dataset statistics

Number of variables18
Number of observations200
Missing cells600
Missing cells (%)16.7%
Duplicate rows30
Duplicate rows (%)15.0%
Total size in memory29.6 KiB
Average record size in memory151.7 B

Variable types

Categorical8
DateTime4
Numeric3
Unsupported3

Dataset

DescriptionSample
Author(주)넥스트이지
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=NXERNTCARRSVC0000000

Alerts

예약차량갯수 has constant value ""Constant
차량변속기명 has constant value ""Constant
Dataset has 30 (15.0%) duplicate rowsDuplicates
이용시간갯수 is highly overall correlated with 총금액High correlation
총금액 is highly overall correlated with 이용시간갯수High correlation
차량인원갯수 is highly overall correlated with 차량명 and 1 other fieldsHigh correlation
차량명 is highly overall correlated with 차량인원갯수 and 3 other fieldsHigh correlation
차량유형명 is highly overall correlated with 차량명 and 1 other fieldsHigh correlation
차량연료명 is highly overall correlated with 차량인원갯수 and 2 other fieldsHigh correlation
차량제조사명 is highly overall correlated with 차량명High correlation
결제수단명 is highly imbalanced (65.8%)Imbalance
차량제조사명 is highly imbalanced (51.5%)Imbalance
이용자연령대코드 has 200 (100.0%) missing valuesMissing
이용자성별코드 has 200 (100.0%) missing valuesMissing
이용자광역시도코드 has 200 (100.0%) missing valuesMissing
이용자연령대코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
이용자성별코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
이용자광역시도코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 06:14:12.155843
Analysis finished2023-12-10 06:14:15.509559
Duration3.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

차량명
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
코나 일렉트릭 EV / 전기
23 
K5 2세대 / LPG
17 
더 뉴 K5 / LPG
14 
LF쏘나타 / LPG
14 
쏘나타 뉴 라이즈 / LPG
 
11
Other values (43)
121 

Length

Max length23
Median length19
Mean length12.87
Min length8

Unique

Unique19 ?
Unique (%)9.5%

Sample

1st row쏘나타 뉴 라이즈 / LPG
2nd row올 뉴 K3 / 휘발유
3rd row아반떼 AD / 휘발유
4th row더 뉴 K5 / LPG
5th row싼타페 TM(7인승) / 경유

Common Values

ValueCountFrequency (%)
코나 일렉트릭 EV / 전기 23
 
11.5%
K5 2세대 / LPG 17
 
8.5%
더 뉴 K5 / LPG 14
 
7.0%
LF쏘나타 / LPG 14
 
7.0%
쏘나타 뉴 라이즈 / LPG 11
 
5.5%
쏘나타 DN8 / LPG 11
 
5.5%
올 뉴 K3 / 휘발유 11
 
5.5%
레이 / 휘발유 8
 
4.0%
니로 EV / 전기 8
 
4.0%
올 뉴 카니발(9인승) / 경유 6
 
3.0%
Other values (38) 77
38.5%

Length

2023-12-10T15:14:15.653439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
200
23.3%
lpg 79
 
9.2%
뉴 67
 
7.8%
휘발유 55
 
6.4%
전기 38
 
4.4%
k5 36
 
4.2%
ev 33
 
3.8%
올 29
 
3.4%
더 29
 
3.4%
경유 28
 
3.3%
Other values (48) 265
30.8%

차량유형명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
중형
108 
SUV/승합
65 
소형
17 
고급
 
5
수입
 
5

Length

Max length6
Median length2
Mean length3.3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중형
2nd row중형
3rd row중형
4th row중형
5th rowSUV/승합

Common Values

ValueCountFrequency (%)
중형 108
54.0%
SUV/승합 65
32.5%
소형 17
 
8.5%
고급 5
 
2.5%
수입 5
 
2.5%

Length

2023-12-10T15:14:15.952770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:16.157416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중형 108
54.0%
suv/승합 65
32.5%
소형 17
 
8.5%
고급 5
 
2.5%
수입 5
 
2.5%

예약일시
Date

Distinct169
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-10-24 15:40:43
Maximum2019-12-23 21:37:40
2023-12-10T15:14:16.349064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:16.578501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

취소일시
Date

Distinct170
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-11-23 09:41:20
Maximum2019-12-23 22:01:23
2023-12-10T15:14:16.812894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:17.115823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

이용시작일시
Date

Distinct134
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-11-23 12:00:00
Maximum2020-05-01 12:00:00
2023-12-10T15:14:17.380341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:17.674563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

이용종료일시
Date

Distinct136
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2019-11-24 12:00:00
Maximum2020-05-04 12:00:00
2023-12-10T15:14:17.956003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:18.183022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

이용시간갯수
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.14
Minimum9
Maximum192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:14:18.434526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile27
Q147.75
median53.5
Q373
95-th percentile94
Maximum192
Range183
Interquartile range (IQR)25.25

Descriptive statistics

Standard deviation23.048352
Coefficient of variation (CV)0.38972526
Kurtosis5.2523249
Mean59.14
Median Absolute Deviation (MAD)15
Skewness1.3585649
Sum11828
Variance531.22653
MonotonicityNot monotonic
2023-12-10T15:14:18.677054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 25
 
12.5%
24 7
 
3.5%
36 7
 
3.5%
52 7
 
3.5%
76 6
 
3.0%
49 6
 
3.0%
63 6
 
3.0%
70 6
 
3.0%
45 6
 
3.0%
54 6
 
3.0%
Other values (59) 118
59.0%
ValueCountFrequency (%)
9 1
 
0.5%
22 1
 
0.5%
24 7
3.5%
27 5
2.5%
28 2
 
1.0%
29 1
 
0.5%
31 2
 
1.0%
32 2
 
1.0%
33 1
 
0.5%
34 2
 
1.0%
ValueCountFrequency (%)
192 1
 
0.5%
141 1
 
0.5%
126 1
 
0.5%
113 1
 
0.5%
104 1
 
0.5%
102 1
 
0.5%
101 1
 
0.5%
96 1
 
0.5%
95 1
 
0.5%
94 4
2.0%

예약차량갯수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
1
200 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 200
100.0%

Length

2023-12-10T15:14:18.872129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:19.023858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 200
100.0%

결제수단명
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
카드
176 
무통장
 
14
핸드폰
 
8
계좌이체
 
2

Length

Max length4
Median length2
Mean length2.13
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row카드
2nd row카드
3rd row카드
4th row카드
5th row무통장

Common Values

ValueCountFrequency (%)
카드 176
88.0%
무통장 14
 
7.0%
핸드폰 8
 
4.0%
계좌이체 2
 
1.0%

Length

2023-12-10T15:14:19.203494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:19.388298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
카드 176
88.0%
무통장 14
 
7.0%
핸드폰 8
 
4.0%
계좌이체 2
 
1.0%

총금액
Real number (ℝ)

HIGH CORRELATION 

Distinct141
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104845.5
Minimum10000
Maximum456000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:14:19.579994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile27670
Q151200
median82300
Q3148350
95-th percentile225250
Maximum456000
Range446000
Interquartile range (IQR)97150

Descriptive statistics

Standard deviation72519.34
Coefficient of variation (CV)0.69167813
Kurtosis2.4695685
Mean104845.5
Median Absolute Deviation (MAD)39750
Skewness1.352922
Sum20969100
Variance5.2590547 × 109
MonotonicityNot monotonic
2023-12-10T15:14:19.787560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180000 6
 
3.0%
63000 5
 
2.5%
210000 4
 
2.0%
53700 4
 
2.0%
39000 4
 
2.0%
115200 4
 
2.0%
150000 3
 
1.5%
46500 3
 
1.5%
120000 3
 
1.5%
54000 3
 
1.5%
Other values (131) 161
80.5%
ValueCountFrequency (%)
10000 1
0.5%
15000 1
0.5%
16900 1
0.5%
17000 1
0.5%
20000 1
0.5%
21000 1
0.5%
22000 1
0.5%
22500 1
0.5%
25000 1
0.5%
25200 1
0.5%
ValueCountFrequency (%)
456000 1
0.5%
322000 2
1.0%
300000 2
1.0%
282100 1
0.5%
266000 2
1.0%
245700 1
0.5%
230000 1
0.5%
225000 1
0.5%
222000 1
0.5%
218700 1
0.5%

차량연료명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
LPG
78 
휘발유
53 
전기
37 
경유
28 
<NA>
 
4

Length

Max length4
Median length3
Mean length2.695
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLPG
2nd row휘발유
3rd row휘발유
4th rowLPG
5th row경유

Common Values

ValueCountFrequency (%)
LPG 78
39.0%
휘발유 53
26.5%
전기 37
18.5%
경유 28
 
14.0%
<NA> 4
 
2.0%

Length

2023-12-10T15:14:20.035496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:20.212701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
lpg 78
39.0%
휘발유 53
26.5%
전기 37
18.5%
경유 28
 
14.0%
na 4
 
2.0%

차량변속기명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
오토
200 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row오토
2nd row오토
3rd row오토
4th row오토
5th row오토

Common Values

ValueCountFrequency (%)
오토 200
100.0%

Length

2023-12-10T15:14:20.379179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:20.517525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오토 200
100.0%

차량인원갯수
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.48
Minimum4
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:14:20.660126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q15
median5
Q35
95-th percentile9
Maximum12
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5849797
Coefficient of variation (CV)0.28922988
Kurtosis9.0173316
Mean5.48
Median Absolute Deviation (MAD)0
Skewness3.1155965
Sum1096
Variance2.5121608
MonotonicityNot monotonic
2023-12-10T15:14:20.869594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
5 171
85.5%
7 6
 
3.0%
9 6
 
3.0%
4 6
 
3.0%
12 6
 
3.0%
11 3
 
1.5%
8 2
 
1.0%
ValueCountFrequency (%)
4 6
 
3.0%
5 171
85.5%
7 6
 
3.0%
8 2
 
1.0%
9 6
 
3.0%
11 3
 
1.5%
12 6
 
3.0%
ValueCountFrequency (%)
12 6
 
3.0%
11 3
 
1.5%
9 6
 
3.0%
8 2
 
1.0%
7 6
 
3.0%
5 171
85.5%
4 6
 
3.0%

차량제조사명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
기아
98 
현대
91 
BMW
 
4
쉐보레
 
4
지프
 
1
Other values (2)
 
2

Length

Max length4
Median length2
Mean length2.05
Min length2

Unique

Unique3 ?
Unique (%)1.5%

Sample

1st row현대
2nd row기아
3rd row현대
4th row기아
5th row현대

Common Values

ValueCountFrequency (%)
기아 98
49.0%
현대 91
45.5%
BMW 4
 
2.0%
쉐보레 4
 
2.0%
지프 1
 
0.5%
쌍용 1
 
0.5%
르노삼성 1
 
0.5%

Length

2023-12-10T15:14:21.061422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:21.558175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기아 98
49.0%
현대 91
45.5%
bmw 4
 
2.0%
쉐보레 4
 
2.0%
지프 1
 
0.5%
쌍용 1
 
0.5%
르노삼성 1
 
0.5%

이용자연령대코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

이용자성별코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

이용자광역시도코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing200
Missing (%)100.0%
Memory size1.9 KiB

접속장치명
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
MOBILE
133 
PC
67 

Length

Max length6
Median length6
Mean length4.66
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMOBILE
2nd rowMOBILE
3rd rowMOBILE
4th rowMOBILE
5th rowMOBILE

Common Values

ValueCountFrequency (%)
MOBILE 133
66.5%
PC 67
33.5%

Length

2023-12-10T15:14:21.809387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:14:21.992733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mobile 133
66.5%
pc 67
33.5%

Interactions

2023-12-10T15:14:14.439148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:13.089503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:13.655868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:14.603171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:13.330296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:14.151447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:14.734778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:13.482134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T15:14:14.267173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:14:22.107101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량명차량유형명이용시간갯수결제수단명총금액차량연료명차량인원갯수차량제조사명접속장치명
차량명1.0001.0000.2780.0000.8481.0000.9961.0000.393
차량유형명1.0001.0000.2570.0000.3060.6480.5780.6570.152
이용시간갯수0.2780.2571.0000.0000.4680.1630.0000.3360.167
결제수단명0.0000.0000.0001.0000.0000.2260.3970.0000.158
총금액0.8480.3060.4680.0001.0000.5060.6230.3070.037
차량연료명1.0000.6480.1630.2260.5061.0000.6590.3330.224
차량인원갯수0.9960.5780.0000.3970.6230.6591.0000.7100.152
차량제조사명1.0000.6570.3360.0000.3070.3330.7101.0000.155
접속장치명0.3930.1520.1670.1580.0370.2240.1520.1551.000
2023-12-10T15:14:22.330813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
차량연료명차량제조사명차량명결제수단명접속장치명차량유형명
차량연료명1.0000.2320.8780.0900.1480.577
차량제조사명0.2321.0000.8870.0000.1630.497
차량명0.8780.8871.0000.0000.2730.883
결제수단명0.0900.0000.0001.0000.1040.000
접속장치명0.1480.1630.2730.1041.0000.184
차량유형명0.5770.4970.8830.0000.1841.000
2023-12-10T15:14:22.509487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용시간갯수총금액차량인원갯수차량명차량유형명결제수단명차량연료명차량제조사명접속장치명
이용시간갯수1.0000.5390.1020.0850.1490.0000.1030.1820.163
총금액0.5391.0000.2620.4380.1930.0000.2450.1700.044
차량인원갯수0.1020.2621.0000.8560.4170.2810.5170.3160.160
차량명0.0850.4380.8561.0000.8830.0000.8780.8870.273
차량유형명0.1490.1930.4170.8831.0000.0000.5770.4970.184
결제수단명0.0000.0000.2810.0000.0001.0000.0900.0000.104
차량연료명0.1030.2450.5170.8780.5770.0901.0000.2320.148
차량제조사명0.1820.1700.3160.8870.4970.0000.2321.0000.163
접속장치명0.1630.0440.1600.2730.1840.1040.1480.1631.000

Missing values

2023-12-10T15:14:14.988565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:14:15.348528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

차량명차량유형명예약일시취소일시이용시작일시이용종료일시이용시간갯수예약차량갯수결제수단명총금액차량연료명차량변속기명차량인원갯수차량제조사명이용자연령대코드이용자성별코드이용자광역시도코드접속장치명
0쏘나타 뉴 라이즈 / LPG중형2019-12-14 21:07:422019-12-15 08:49:232019-12-15 10:00:002019-12-16 17:00:00311카드42100LPG오토5현대<NA><NA><NA>MOBILE
1올 뉴 K3 / 휘발유중형2019-12-14 19:30:412019-12-15 10:25:212019-12-30 19:00:002020-01-03 08:00:00851카드148800휘발유오토5기아<NA><NA><NA>MOBILE
2아반떼 AD / 휘발유중형2019-12-15 00:41:502019-12-15 10:25:402019-12-29 09:00:002019-12-31 19:00:00581카드101500휘발유오토5현대<NA><NA><NA>MOBILE
3더 뉴 K5 / LPG중형2019-12-15 09:59:352019-12-15 10:36:582020-01-02 12:00:002020-01-04 16:00:00521카드39000LPG오토5기아<NA><NA><NA>MOBILE
4싼타페 TM(7인승) / 경유SUV/승합2019-12-15 09:48:162019-12-15 10:53:472019-12-29 16:00:002020-01-02 11:00:00911무통장180000경유오토7현대<NA><NA><NA>MOBILE
5더 뉴 K5 / LPG중형2019-12-15 10:31:062019-12-15 11:29:412020-01-02 12:00:002020-01-04 16:00:00521카드39000LPG오토5기아<NA><NA><NA>MOBILE
6LF쏘나타 / LPG중형2019-12-13 01:10:302019-12-15 11:30:202020-01-09 09:00:002020-01-11 10:00:00491카드36000LPG오토5현대<NA><NA><NA>MOBILE
7코나 일렉트릭 EV / 전기SUV/승합2019-12-09 15:51:472019-12-15 11:59:272020-01-08 14:00:002020-01-10 14:00:00481카드47200전기오토5현대<NA><NA><NA>MOBILE
8아이오닉 일렉트릭 / 전기중형2019-12-14 23:40:582019-12-15 13:25:322019-12-17 17:00:002019-12-20 08:00:00631카드63000전기오토5현대<NA><NA><NA>MOBILE
9코나 일렉트릭 EV / 전기SUV/승합2019-12-15 13:17:412019-12-15 13:28:232019-12-17 17:00:002019-12-20 09:00:00641카드59100전기오토5현대<NA><NA><NA>MOBILE
차량명차량유형명예약일시취소일시이용시작일시이용종료일시이용시간갯수예약차량갯수결제수단명총금액차량연료명차량변속기명차량인원갯수차량제조사명이용자연령대코드이용자성별코드이용자광역시도코드접속장치명
190BMW i3 / 전기수입2019-12-19 19:31:122019-12-20 09:00:202019-12-30 16:00:002020-01-01 13:00:00451카드115200전기오토4BMW<NA><NA><NA>MOBILE
191코나 일렉트릭 EV / 전기SUV/승합2019-12-19 23:13:442019-12-20 09:03:162019-12-28 13:00:002019-12-31 19:00:00781카드195000전기오토5현대<NA><NA><NA>MOBILE
192니로 EV / 전기SUV/승합2019-12-19 11:26:062019-12-20 09:03:342019-12-24 16:00:002019-12-27 14:00:00701무통장180000전기오토5기아<NA><NA><NA>PC
193코나 일렉트릭 EV / 전기SUV/승합2019-12-19 22:37:292019-12-20 09:04:052019-12-23 12:00:002019-12-26 13:00:00731카드183000전기오토5현대<NA><NA><NA>PC
194코나 일렉트릭 EV / 전기SUV/승합2019-12-20 00:57:242019-12-20 09:06:182019-12-26 16:00:002019-12-28 16:00:00481카드120000전기오토5현대<NA><NA><NA>MOBILE
195니로 EV / 전기SUV/승합2019-12-20 01:18:452019-12-20 09:06:592019-12-25 10:00:002019-12-27 15:00:00531카드135000전기오토5기아<NA><NA><NA>MOBILE
196LF쏘나타 / LPG중형2019-12-19 19:24:582019-12-20 09:29:322019-12-26 17:00:002019-12-28 13:00:00441카드150000LPG오토5현대<NA><NA><NA>MOBILE
197쏘나타 DN8 / LPG중형2019-12-19 20:27:382019-12-20 09:29:432019-12-27 10:00:002019-12-29 19:00:00571카드212800LPG오토5현대<NA><NA><NA>MOBILE
198더 뉴 K3 / 휘발유중형2019-12-19 16:23:372019-12-20 09:29:522019-12-20 16:00:002019-12-22 17:00:00491카드58700휘발유오토5기아<NA><NA><NA>PC
199K5 2세대 / LPG중형2019-12-19 18:31:112019-12-20 10:26:172019-12-20 16:00:002019-12-21 19:00:00271카드49500LPG오토5기아<NA><NA><NA>MOBILE

Duplicate rows

Most frequently occurring

차량명차량유형명예약일시취소일시이용시작일시이용종료일시이용시간갯수예약차량갯수결제수단명총금액차량연료명차량변속기명차량인원갯수차량제조사명접속장치명# duplicates
0BMW i3 / 전기수입2019-12-19 19:31:122019-12-20 09:00:202019-12-30 16:00:002020-01-01 13:00:00451카드115200전기오토4BMWMOBILE2
1K5 2세대 / LPG중형2019-12-03 21:11:532019-12-20 08:04:072019-12-21 08:00:002019-12-22 20:00:00361카드41200LPG오토5기아PC2
2K5 2세대 / LPG중형2019-12-19 18:31:112019-12-20 10:26:172019-12-20 16:00:002019-12-21 19:00:00271카드49500LPG오토5기아MOBILE2
3LF쏘나타 / LPG중형2019-12-13 01:10:302019-12-15 11:30:202020-01-09 09:00:002020-01-11 10:00:00491카드36000LPG오토5현대MOBILE2
4LF쏘나타 / LPG중형2019-12-15 17:55:562019-12-15 18:03:252020-01-06 11:00:002020-01-09 15:00:00761카드53700LPG오토5현대MOBILE2
5LF쏘나타 / LPG중형2019-12-19 19:24:582019-12-20 09:29:322019-12-26 17:00:002019-12-28 13:00:00441카드150000LPG오토5현대MOBILE2
6니로 / 휘발유SUV/승합2019-12-18 22:04:202019-12-20 08:04:262020-01-08 08:00:002020-01-10 11:00:00511카드53700휘발유오토5기아PC2
7니로 EV / 전기SUV/승합2019-12-19 11:26:062019-12-20 09:03:342019-12-24 16:00:002019-12-27 14:00:00701무통장180000전기오토5기아PC2
8니로 EV / 전기SUV/승합2019-12-19 20:25:382019-12-20 08:46:502019-12-24 08:00:002019-12-27 20:00:00841핸드폰210000전기오토5기아PC2
9니로 EV / 전기SUV/승합2019-12-20 01:18:452019-12-20 09:06:592019-12-25 10:00:002019-12-27 15:00:00531카드135000전기오토5기아MOBILE2