Overview

Dataset statistics

Number of variables13
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory113.4 B

Variable types

Categorical8
DateTime1
Numeric4

Dataset

Description샘플 데이터
Author펌프킨
URLhttps://bigdata-region.kr/#/dataset/20a817c3-c0e1-497d-af02-db2ed509002c

Alerts

충전소ID has constant value ""Constant
차종분류 has constant value ""Constant
충전기상태 has constant value ""Constant
비고 has constant value ""Constant
생산일시 has constant value ""Constant
최초차량충전율 is highly overall correlated with 진행SOC and 2 other fieldsHigh correlation
진행SOC is highly overall correlated with 최초차량충전율 and 1 other fieldsHigh correlation
공급전류 is highly overall correlated with 최초차량충전율 and 1 other fieldsHigh correlation
충전기ID is highly overall correlated with 시작일시High correlation
충전건 is highly overall correlated with 시작일시High correlation
시작일시 is highly overall correlated with 최초차량충전율 and 2 other fieldsHigh correlation
상태갱신일시 has unique valuesUnique
공급전압 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2024-03-13 11:56:48.704270
Analysis finished2024-03-13 11:56:51.303973
Duration2.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

충전소ID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
KRPPKCS0041
30 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKRPPKCS0041
2nd rowKRPPKCS0041
3rd rowKRPPKCS0041
4th rowKRPPKCS0041
5th rowKRPPKCS0041

Common Values

ValueCountFrequency (%)
KRPPKCS0041 30
100.0%

Length

2024-03-13T20:56:51.371126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:56:51.471346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krppkcs0041 30
100.0%

충전기ID
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
KRPPKCP0920
19 
KRPPKCP0918
11 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKRPPKCP0918
2nd rowKRPPKCP0920
3rd rowKRPPKCP0920
4th rowKRPPKCP0918
5th rowKRPPKCP0920

Common Values

ValueCountFrequency (%)
KRPPKCP0920 19
63.3%
KRPPKCP0918 11
36.7%

Length

2024-03-13T20:56:51.575552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:56:51.688815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krppkcp0920 19
63.3%
krppkcp0918 11
36.7%

충전건
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
A
16 
B
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowB
3rd rowA
4th rowA
5th rowB

Common Values

ValueCountFrequency (%)
A 16
53.3%
B 14
46.7%

Length

2024-03-13T20:56:51.808182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:56:51.956909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 16
53.3%
b 14
46.7%

차종분류
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
승용 30
100.0%

Length

2024-03-13T20:56:52.086028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:56:52.226665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
승용 30
100.0%

충전기상태
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 30
100.0%

Length

2024-03-13T20:56:52.343770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:56:52.449909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 30
100.0%

시작일시
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-10-06 15:43:52
6 
2023-10-02 16:54:14
4 
2023-10-30 12:26:01
4 
2023-10-26 13:10:26
4 
2023-10-16 16:54:18
3 
Other values (6)
9 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique3 ?
Unique (%)10.0%

Sample

1st row2023-10-02 16:54:14
2nd row2023-10-30 12:26:01
3rd row2023-10-06 15:43:52
4th row2023-10-16 16:54:18
5th row2023-10-26 13:10:26

Common Values

ValueCountFrequency (%)
2023-10-06 15:43:52 6
20.0%
2023-10-02 16:54:14 4
13.3%
2023-10-30 12:26:01 4
13.3%
2023-10-26 13:10:26 4
13.3%
2023-10-16 16:54:18 3
10.0%
2023-10-11 16:28:39 2
 
6.7%
2023-10-13 16:17:19 2
 
6.7%
2023-10-20 14:59:19 2
 
6.7%
2023-10-12 17:08:02 1
 
3.3%
2023-10-16 10:13:07 1
 
3.3%

Length

2024-03-13T20:56:52.580791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-10-06 6
 
10.0%
15:43:52 6
 
10.0%
2023-10-02 4
 
6.7%
16:54:14 4
 
6.7%
2023-10-30 4
 
6.7%
12:26:01 4
 
6.7%
2023-10-26 4
 
6.7%
13:10:26 4
 
6.7%
2023-10-16 4
 
6.7%
16:54:18 3
 
5.0%
Other values (11) 17
28.3%

상태갱신일시
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-10-02 16:54:15
Maximum2023-10-30 12:53:02
2024-03-13T20:56:52.710207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:52.845845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

최초차량충전율
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.4
Minimum10
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T20:56:52.950957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile19.45
Q138
median42
Q355.75
95-th percentile60.75
Maximum63
Range53
Interquartile range (IQR)17.75

Descriptive statistics

Standard deviation12.74579
Coefficient of variation (CV)0.29368181
Kurtosis1.6263617
Mean43.4
Median Absolute Deviation (MAD)4
Skewness-0.78157802
Sum1302
Variance162.45517
MonotonicityNot monotonic
2024-03-13T20:56:53.072495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
38 8
26.7%
58 6
20.0%
43 5
16.7%
42 4
13.3%
10 2
 
6.7%
63 2
 
6.7%
41 1
 
3.3%
49 1
 
3.3%
31 1
 
3.3%
ValueCountFrequency (%)
10 2
 
6.7%
31 1
 
3.3%
38 8
26.7%
41 1
 
3.3%
42 4
13.3%
43 5
16.7%
49 1
 
3.3%
58 6
20.0%
63 2
 
6.7%
ValueCountFrequency (%)
63 2
 
6.7%
58 6
20.0%
49 1
 
3.3%
43 5
16.7%
42 4
13.3%
41 1
 
3.3%
38 8
26.7%
31 1
 
3.3%
10 2
 
6.7%

진행SOC
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.933333
Minimum21
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T20:56:53.232824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile31.4
Q146
median64
Q371
95-th percentile85.2
Maximum96
Range75
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.028585
Coefficient of variation (CV)0.29587394
Kurtosis-0.26441804
Mean60.933333
Median Absolute Deviation (MAD)13
Skewness-0.33245152
Sum1828
Variance325.02989
MonotonicityNot monotonic
2024-03-13T20:56:53.406587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
67 3
 
10.0%
59 3
 
10.0%
71 2
 
6.7%
38 1
 
3.3%
87 1
 
3.3%
45 1
 
3.3%
68 1
 
3.3%
96 1
 
3.3%
61 1
 
3.3%
82 1
 
3.3%
Other values (15) 15
50.0%
ValueCountFrequency (%)
21 1
3.3%
26 1
3.3%
38 1
3.3%
39 1
3.3%
42 1
3.3%
43 1
3.3%
44 1
3.3%
45 1
3.3%
49 1
3.3%
53 1
3.3%
ValueCountFrequency (%)
96 1
3.3%
87 1
3.3%
83 1
3.3%
82 1
3.3%
80 1
3.3%
79 1
3.3%
74 1
3.3%
71 2
6.7%
70 1
3.3%
68 1
3.3%

공급전압
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.466667
Minimum0
Maximum174
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T20:56:53.520391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.6
Q160
median117
Q3124
95-th percentile149
Maximum174
Range174
Interquartile range (IQR)64

Descriptive statistics

Standard deviation44.871259
Coefficient of variation (CV)0.46037543
Kurtosis-0.060619158
Mean97.466667
Median Absolute Deviation (MAD)17
Skewness-0.83104556
Sum2924
Variance2013.4299
MonotonicityNot monotonic
2024-03-13T20:56:53.638294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
60 5
16.7%
124 4
13.3%
117 3
 
10.0%
149 2
 
6.7%
122 2
 
6.7%
0 1
 
3.3%
108 1
 
3.3%
174 1
 
3.3%
96 1
 
3.3%
25 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 1
 
3.3%
4 1
 
3.3%
12 1
 
3.3%
25 1
 
3.3%
60 5
16.7%
91 1
 
3.3%
96 1
 
3.3%
100 1
 
3.3%
108 1
 
3.3%
115 1
 
3.3%
ValueCountFrequency (%)
174 1
 
3.3%
149 2
6.7%
134 1
 
3.3%
133 1
 
3.3%
125 1
 
3.3%
124 4
13.3%
122 2
6.7%
118 1
 
3.3%
117 3
10.0%
115 1
 
3.3%

공급전류
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean351.63333
Minimum324
Maximum373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T20:56:53.759175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324
5-th percentile327
Q1340.5
median356.5
Q3362
95-th percentile368.65
Maximum373
Range49
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation14.072432
Coefficient of variation (CV)0.040020187
Kurtosis-0.81210475
Mean351.63333
Median Absolute Deviation (MAD)8
Skewness-0.60021814
Sum10549
Variance198.03333
MonotonicityNot monotonic
2024-03-13T20:56:53.872757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
363 3
 
10.0%
362 3
 
10.0%
356 2
 
6.7%
327 2
 
6.7%
359 2
 
6.7%
324 1
 
3.3%
340 1
 
3.3%
348 1
 
3.3%
349 1
 
3.3%
373 1
 
3.3%
Other values (13) 13
43.3%
ValueCountFrequency (%)
324 1
3.3%
327 2
6.7%
329 1
3.3%
333 1
3.3%
336 1
3.3%
339 1
3.3%
340 1
3.3%
342 1
3.3%
347 1
3.3%
348 1
3.3%
ValueCountFrequency (%)
373 1
 
3.3%
370 1
 
3.3%
367 1
 
3.3%
366 1
 
3.3%
363 3
10.0%
362 3
10.0%
360 1
 
3.3%
359 2
6.7%
358 1
 
3.3%
357 1
 
3.3%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-03 개방충전소 승용 및 택시 이력 데이터
30 

Length

Max length31
Median length31
Mean length31
Min length31

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-03 개방충전소 승용 및 택시 이력 데이터
2nd row2024-01-03 개방충전소 승용 및 택시 이력 데이터
3rd row2024-01-03 개방충전소 승용 및 택시 이력 데이터
4th row2024-01-03 개방충전소 승용 및 택시 이력 데이터
5th row2024-01-03 개방충전소 승용 및 택시 이력 데이터

Common Values

ValueCountFrequency (%)
2024-01-03 개방충전소 승용 및 택시 이력 데이터 30
100.0%

Length

2024-03-13T20:56:53.995395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:56:54.083277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-03 30
14.3%
개방충전소 30
14.3%
승용 30
14.3%
및 30
14.3%
택시 30
14.3%
이력 30
14.3%
데이터 30
14.3%

생산일시
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-03 16:42:17
30 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-03 16:42:17
2nd row2024-01-03 16:42:17
3rd row2024-01-03 16:42:17
4th row2024-01-03 16:42:17
5th row2024-01-03 16:42:17

Common Values

ValueCountFrequency (%)
2024-01-03 16:42:17 30
100.0%

Length

2024-03-13T20:56:54.184471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:56:54.274613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-03 30
50.0%
16:42:17 30
50.0%

Interactions

2024-03-13T20:56:50.515387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:49.070613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:49.411648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:49.811148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:50.599969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:49.148558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:49.499166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:49.909280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:50.697053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:49.244540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:49.590754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:50.005571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:50.793681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:49.329286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:49.701162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:56:50.416688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:56:54.346769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전기ID충전건시작일시상태갱신일시최초차량충전율진행SOC공급전압공급전류
충전기ID1.0000.4841.0001.0000.0000.3620.7200.132
충전건0.4841.0001.0001.0000.2940.2910.4070.000
시작일시1.0001.0001.0001.0001.0000.7080.7120.530
상태갱신일시1.0001.0001.0001.0001.0001.0001.0001.000
최초차량충전율0.0000.2941.0001.0001.0000.7530.5990.726
진행SOC0.3620.2910.7081.0000.7531.0000.7560.921
공급전압0.7200.4070.7121.0000.5990.7561.0000.726
공급전류0.1320.0000.5301.0000.7260.9210.7261.000
2024-03-13T20:56:54.476359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전기ID시작일시충전건
충전기ID1.0000.8240.320
시작일시0.8241.0000.824
충전건0.3200.8241.000
2024-03-13T20:56:54.558462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최초차량충전율진행SOC공급전압공급전류충전기ID충전건시작일시
최초차량충전율1.0000.643-0.2710.6140.0000.1800.890
진행SOC0.6431.000-0.2540.9870.3000.2340.382
공급전압-0.271-0.2541.000-0.1680.4820.2570.392
공급전류0.6140.987-0.1681.0000.1570.0000.191
충전기ID0.0000.3000.4820.1571.0000.3200.824
충전건0.1800.2340.2570.0000.3201.0000.824
시작일시0.8900.3820.3920.1910.8240.8241.000

Missing values

2024-03-13T20:56:50.947587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:56:51.227487image/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

충전소ID충전기ID충전건차종분류충전기상태시작일시상태갱신일시최초차량충전율진행SOC공급전압공급전류비고생산일시
0KRPPKCS0041KRPPKCP0918A승용22023-10-02 16:54:142023-10-02 16:54:15383803242024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
1KRPPKCS0041KRPPKCP0920B승용22023-10-30 12:26:012023-10-30 12:53:0242701223622024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
2KRPPKCS0041KRPPKCP0920A승용22023-10-06 15:43:522023-10-06 16:10:525883603672024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
3KRPPKCS0041KRPPKCP0918A승용22023-10-16 16:54:182023-10-16 17:04:1843531343472024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
4KRPPKCS0041KRPPKCP0920B승용22023-10-26 13:10:262023-10-26 13:17:2538441153392024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
5KRPPKCS0041KRPPKCP0918A승용22023-10-02 16:54:142023-10-02 17:07:1338491003422024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
6KRPPKCS0041KRPPKCP0920A승용22023-10-06 15:43:522023-10-06 16:03:515879603632024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
7KRPPKCS0041KRPPKCP0920B승용22023-10-30 12:26:012023-10-30 12:26:054242123272024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
8KRPPKCS0041KRPPKCP0920A승용22023-10-06 15:43:522023-10-06 15:51:5158671493592024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
9KRPPKCS0041KRPPKCP0920B승용22023-10-11 16:28:392023-10-11 16:40:3910211243292024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
충전소ID충전기ID충전건차종분류충전기상태시작일시상태갱신일시최초차량충전율진행SOC공급전압공급전류비고생산일시
20KRPPKCS0041KRPPKCP0918A승용22023-10-13 16:17:192023-10-13 16:37:1943651183572024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
21KRPPKCS0041KRPPKCP0920B승용22023-10-16 10:13:072023-10-16 10:50:084982603662024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
22KRPPKCS0041KRPPKCP0918A승용22023-10-16 16:54:182023-10-16 17:17:1843671243602024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
23KRPPKCS0041KRPPKCP0920A승용22023-10-19 12:41:022023-10-19 13:02:0231611493562024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
24KRPPKCS0041KRPPKCP0918B승용22023-10-20 14:59:192023-10-20 15:48:006396253732024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
25KRPPKCS0041KRPPKCP0920B승용22023-10-26 13:10:262023-10-26 13:43:2738711173622024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
26KRPPKCS0041KRPPKCP0920B승용22023-10-26 13:10:262023-10-26 13:40:2638681173592024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
27KRPPKCS0041KRPPKCP0918A승용22023-10-02 16:54:142023-10-02 17:18:143859963492024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
28KRPPKCS0041KRPPKCP0920A승용22023-10-06 15:43:522023-10-06 15:44:5058591743482024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17
29KRPPKCS0041KRPPKCP0920B승용22023-10-30 12:26:012023-10-30 12:30:0042451223402024-01-03 개방충전소 승용 및 택시 이력 데이터2024-01-03 16:42:17