Overview

Dataset statistics

Number of variables18
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory159.4 B

Variable types

DateTime1
Categorical14
Numeric2
Boolean1

Dataset

Description샘플 데이터
Author펌프킨
URLhttps://bigdata-region.kr/#/dataset/71b15ce2-5073-4867-a9c1-bfb67533d1e1

Alerts

차량_번호 has constant value ""Constant
노선_번호 has constant value ""Constant
노선_유형 has constant value ""Constant
출차_시간 has constant value ""Constant
정류장_수 has constant value ""Constant
평균_정류장_간격 has constant value ""Constant
소요_시간 has constant value ""Constant
주행_거리 has constant value ""Constant
브레이크_유무 has constant value ""Constant
위도 has constant value ""Constant
경도 has constant value ""Constant
가속도Y has constant value ""Constant
비고 has constant value ""Constant
생산_일시 has constant value ""Constant
속도 is highly overall correlated with 방위각 and 1 other fieldsHigh correlation
방위각 is highly overall correlated with 속도High correlation
가속도X is highly overall correlated with 속도High correlation
가속도X is highly imbalanced (64.7%)Imbalance
운행_일시 has unique valuesUnique
속도 has 15 (50.0%) zerosZeros
방위각 has 16 (53.3%) zerosZeros

Reproduction

Analysis started2024-03-13 11:49:20.780778
Analysis finished2024-03-13 11:49:22.562808
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

운행_일시
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-10-01 04:48:58
Maximum2023-10-01 04:50:30
2024-03-13T20:49:22.637830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:22.840653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

차량_번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f
30 

Length

Max length64
Median length64
Mean length64
Min length64

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f
2nd row3e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f
3rd row3e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f
4th row3e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f
5th row3e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f

Common Values

ValueCountFrequency (%)
3e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f 30
100.0%

Length

2024-03-13T20:49:23.053612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:23.158151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f 30
100.0%

노선_번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
7612
30 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7612
2nd row7612
3rd row7612
4th row7612
5th row7612

Common Values

ValueCountFrequency (%)
7612 30
100.0%

Length

2024-03-13T20:49:23.272577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:23.372042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7612 30
100.0%

노선_유형
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
지선
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지선 30
100.0%

Length

2024-03-13T20:49:23.486360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:23.588007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지선 30
100.0%

출차_시간
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
04:47:27
30 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row04:47:27
2nd row04:47:27
3rd row04:47:27
4th row04:47:27
5th row04:47:27

Common Values

ValueCountFrequency (%)
04:47:27 30
100.0%

Length

2024-03-13T20:49:23.689391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:23.801985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
04:47:27 30
100.0%

정류장_수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
47
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row47
2nd row47
3rd row47
4th row47
5th row47

Common Values

ValueCountFrequency (%)
47 30
100.0%

Length

2024-03-13T20:49:23.916894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:24.020737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47 30
100.0%

평균_정류장_간격
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2024-03-13T20:49:24.196432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:24.296335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

소요_시간
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
78
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row78
2nd row78
3rd row78
4th row78
5th row78

Common Values

ValueCountFrequency (%)
78 30
100.0%

Length

2024-03-13T20:49:24.427984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:24.610751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
78 30
100.0%

주행_거리
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2024-03-13T20:49:24.825398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:25.013307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

속도
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2333333
Minimum0
Maximum31
Zeros15
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T20:49:25.232358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314.75
95-th percentile24.1
Maximum31
Range31
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation9.547281
Coefficient of variation (CV)1.1595888
Kurtosis-0.61997043
Mean8.2333333
Median Absolute Deviation (MAD)3
Skewness0.73965748
Sum247
Variance91.150575
MonotonicityNot monotonic
2024-03-13T20:49:25.455738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 15
50.0%
14 2
 
6.7%
15 2
 
6.7%
11 2
 
6.7%
20 1
 
3.3%
22 1
 
3.3%
25 1
 
3.3%
31 1
 
3.3%
23 1
 
3.3%
10 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
0 15
50.0%
6 1
 
3.3%
10 1
 
3.3%
11 2
 
6.7%
13 1
 
3.3%
14 2
 
6.7%
15 2
 
6.7%
17 1
 
3.3%
20 1
 
3.3%
22 1
 
3.3%
ValueCountFrequency (%)
31 1
3.3%
25 1
3.3%
23 1
3.3%
22 1
3.3%
20 1
3.3%
17 1
3.3%
15 2
6.7%
14 2
6.7%
13 1
3.3%
11 2
6.7%

브레이크_유무
Boolean

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size162.0 B
False
30 
ValueCountFrequency (%)
False 30
100.0%
2024-03-13T20:49:25.686988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
37
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37
2nd row37
3rd row37
4th row37
5th row37

Common Values

ValueCountFrequency (%)
37 30
100.0%

Length

2024-03-13T20:49:25.806245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:25.946519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37 30
100.0%

경도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
126
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row126
2nd row126
3rd row126
4th row126
5th row126

Common Values

ValueCountFrequency (%)
126 30
100.0%

Length

2024-03-13T20:49:26.096712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:26.230565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
126 30
100.0%

방위각
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.866667
Minimum0
Maximum67
Zeros16
Zeros (%)53.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T20:49:26.337030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q354.75
95-th percentile62.65
Maximum67
Range67
Interquartile range (IQR)54.75

Descriptive statistics

Standard deviation28.443208
Coefficient of variation (CV)1.0996086
Kurtosis-2.0088507
Mean25.866667
Median Absolute Deviation (MAD)0
Skewness0.20799955
Sum776
Variance809.01609
MonotonicityNot monotonic
2024-03-13T20:49:26.468753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 16
53.3%
56 3
 
10.0%
54 2
 
6.7%
64 1
 
3.3%
61 1
 
3.3%
52 1
 
3.3%
55 1
 
3.3%
67 1
 
3.3%
57 1
 
3.3%
51 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 16
53.3%
40 1
 
3.3%
51 1
 
3.3%
52 1
 
3.3%
53 1
 
3.3%
54 2
 
6.7%
55 1
 
3.3%
56 3
 
10.0%
57 1
 
3.3%
61 1
 
3.3%
ValueCountFrequency (%)
67 1
 
3.3%
64 1
 
3.3%
61 1
 
3.3%
57 1
 
3.3%
56 3
10.0%
55 1
 
3.3%
54 2
6.7%
53 1
 
3.3%
52 1
 
3.3%
51 1
 
3.3%

가속도X
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
28 
-1
 
2

Length

Max length2
Median length1
Mean length1.0666667
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 28
93.3%
-1 2
 
6.7%

Length

2024-03-13T20:49:26.618053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:26.776162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
93.3%
1 2
 
6.7%

가속도Y
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2024-03-13T20:49:26.958933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:27.120418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-15 전기차 운행이력
30 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-15 전기차 운행이력
2nd row2024-01-15 전기차 운행이력
3rd row2024-01-15 전기차 운행이력
4th row2024-01-15 전기차 운행이력
5th row2024-01-15 전기차 운행이력

Common Values

ValueCountFrequency (%)
2024-01-15 전기차 운행이력 30
100.0%

Length

2024-03-13T20:49:27.251997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:27.380205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-15 30
33.3%
전기차 30
33.3%
운행이력 30
33.3%

생산_일시
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-15 17:27:28
30 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-15 17:27:28
2nd row2024-01-15 17:27:28
3rd row2024-01-15 17:27:28
4th row2024-01-15 17:27:28
5th row2024-01-15 17:27:28

Common Values

ValueCountFrequency (%)
2024-01-15 17:27:28 30
100.0%

Length

2024-03-13T20:49:27.533254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:27.661376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-15 30
50.0%
17:27:28 30
50.0%

Interactions

2024-03-13T20:49:21.258081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:21.065023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:21.368010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:21.157456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:49:27.745472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운행_일시속도방위각가속도X
운행_일시1.0001.0001.0001.000
속도1.0001.0000.9210.777
방위각1.0000.9211.0000.000
가속도X1.0000.7770.0001.000
2024-03-13T20:49:27.847189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
속도방위각가속도X
속도1.0000.9010.687
방위각0.9011.0000.000
가속도X0.6870.0001.000

Missing values

2024-03-13T20:49:21.882325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:49:22.430127image/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

운행_일시차량_번호노선_번호노선_유형출차_시간정류장_수평균_정류장_간격소요_시간주행_거리속도브레이크_유무위도경도방위각가속도X가속도Y비고생산_일시
02023-10-01 04:48:583e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:2747078014N3712664002024-01-15 전기차 운행이력2024-01-15 17:27:28
12023-10-01 04:49:083e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:2747078014N3712661002024-01-15 전기차 운행이력2024-01-15 17:27:28
22023-10-01 04:49:213e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:2747078020N3712652002024-01-15 전기차 운행이력2024-01-15 17:27:28
32023-10-01 04:49:223e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:2747078022N3712656002024-01-15 전기차 운행이력2024-01-15 17:27:28
42023-10-01 04:49:233e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:2747078025N3712655002024-01-15 전기차 운행이력2024-01-15 17:27:28
52023-10-01 04:49:273e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:2747078031N3712667002024-01-15 전기차 운행이력2024-01-15 17:27:28
62023-10-01 04:49:343e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:2747078023N3712656-102024-01-15 전기차 운행이력2024-01-15 17:27:28
72023-10-01 04:49:363e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:2747078015N3712657002024-01-15 전기차 운행이력2024-01-15 17:27:28
82023-10-01 04:49:383e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:2747078010N3712651002024-01-15 전기차 운행이력2024-01-15 17:27:28
92023-10-01 04:49:393e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:2747078011N3712653002024-01-15 전기차 운행이력2024-01-15 17:27:28
운행_일시차량_번호노선_번호노선_유형출차_시간정류장_수평균_정류장_간격소요_시간주행_거리속도브레이크_유무위도경도방위각가속도X가속도Y비고생산_일시
202023-10-01 04:50:153e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:274707800N371260002024-01-15 전기차 운행이력2024-01-15 17:27:28
212023-10-01 04:50:163e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:274707800N371260002024-01-15 전기차 운행이력2024-01-15 17:27:28
222023-10-01 04:50:173e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:274707800N371260002024-01-15 전기차 운행이력2024-01-15 17:27:28
232023-10-01 04:50:183e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:274707800N371260002024-01-15 전기차 운행이력2024-01-15 17:27:28
242023-10-01 04:50:193e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:274707800N371260002024-01-15 전기차 운행이력2024-01-15 17:27:28
252023-10-01 04:50:203e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:274707800N371260002024-01-15 전기차 운행이력2024-01-15 17:27:28
262023-10-01 04:50:213e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:274707800N371260002024-01-15 전기차 운행이력2024-01-15 17:27:28
272023-10-01 04:50:243e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:274707800N371260002024-01-15 전기차 운행이력2024-01-15 17:27:28
282023-10-01 04:50:273e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:274707800N371260002024-01-15 전기차 운행이력2024-01-15 17:27:28
292023-10-01 04:50:303e8d763036e2ba9d7b907f6cb8ce45a3c2f9d5e4ac7cd1aa240ab945d6b5d82f7612지선04:47:274707800N371260002024-01-15 전기차 운행이력2024-01-15 17:27:28