Overview

Dataset statistics

Number of variables13
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory114.4 B

Variable types

Categorical8
DateTime2
Numeric3

Dataset

Description샘플 데이터
Author펌프킨
URLhttps://bigdata-region.kr/#/dataset/4dd42e65-bea7-4116-9fe1-7f590a472f4c

Alerts

충전소ID has constant value ""Constant
비고 has constant value ""Constant
생산일시 has constant value ""Constant
전력량요금명 is highly overall correlated with 기본요금High correlation
기본요금 is highly overall correlated with 전력량요금명High correlation
전력사용요금경부하 is highly overall correlated with 전력사용요금중부하High correlation
전력사용요금중부하 is highly overall correlated with 전력사용요금경부하High correlation
전력사용요금최대부하 is highly imbalanced (68.6%)Imbalance
시작일시 has unique valuesUnique
종료일시 has unique valuesUnique
전력사용요금경부하 has 19 (63.3%) zerosZeros
전력사용요금중부하 has 13 (43.3%) zerosZeros

Reproduction

Analysis started2023-12-10 13:45:29.681084
Analysis finished2023-12-10 13:45:32.474201
Duration2.79 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
KRPPKCS0001
30 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKRPPKCS0001
2nd rowKRPPKCS0001
3rd rowKRPPKCS0001
4th rowKRPPKCS0001
5th rowKRPPKCS0001

Common Values

ValueCountFrequency (%)
KRPPKCS0001 30
100.0%

Length

2023-12-10T22:45:32.594160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:32.752117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krppkcs0001 30
100.0%

충전기ID
Categorical

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
KRPPKCP0002
5 
KRPPKCP0004
5 
KRPPKCP0005
4 
KRPPKCP0007
4 
KRPPKCP0001
4 
Other values (4)
8 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique2 ?
Unique (%)6.7%

Sample

1st rowKRPPKCP0005
2nd rowKRPPKCP0003
3rd rowKRPPKCP0002
4th rowKRPPKCP0004
5th rowKRPPKCP0007

Common Values

ValueCountFrequency (%)
KRPPKCP0002 5
16.7%
KRPPKCP0004 5
16.7%
KRPPKCP0005 4
13.3%
KRPPKCP0007 4
13.3%
KRPPKCP0001 4
13.3%
KRPPKCP0008 4
13.3%
KRPPKCP0006 2
 
6.7%
KRPPKCP0003 1
 
3.3%
KRPPKCP0009 1
 
3.3%

Length

2023-12-10T22:45:32.908152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:33.101139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krppkcp0002 5
16.7%
krppkcp0004 5
16.7%
krppkcp0005 4
13.3%
krppkcp0007 4
13.3%
krppkcp0001 4
13.3%
krppkcp0008 4
13.3%
krppkcp0006 2
 
6.7%
krppkcp0003 1
 
3.3%
krppkcp0009 1
 
3.3%

충전건
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
15 
2
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 15
50.0%
2 15
50.0%

Length

2023-12-10T22:45:33.326918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:33.470414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
50.0%
2 15
50.0%

시작일시
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-04-01 10:44:47
Maximum2023-04-28 13:02:56
2023-12-10T22:45:33.621047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:33.837552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

종료일시
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-04-01 10:53:08
Maximum2023-04-28 13:49:34
2023-12-10T22:45:34.032275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:34.186331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

전력량요금명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
선택1고압
12 
자가소비저압
7 
전기자동차 고압
7 
선택2고압
4 

Length

Max length8
Median length5
Mean length5.9333333
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row자가소비저압
2nd row선택1고압
3rd row자가소비저압
4th row전기자동차 고압
5th row전기자동차 고압

Common Values

ValueCountFrequency (%)
선택1고압 12
40.0%
자가소비저압 7
23.3%
전기자동차 고압 7
23.3%
선택2고압 4
 
13.3%

Length

2023-12-10T22:45:34.344458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:34.493438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
선택1고압 12
32.4%
자가소비저압 7
18.9%
전기자동차 7
18.9%
고압 7
18.9%
선택2고압 4
 
10.8%

기본요금
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2580
23 
2390
7 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2390
2nd row2580
3rd row2390
4th row2580
5th row2580

Common Values

ValueCountFrequency (%)
2580 23
76.7%
2390 7
 
23.3%

Length

2023-12-10T22:45:34.630633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:34.764624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2580 23
76.7%
2390 7
 
23.3%

전력사용요금
Real number (ℝ)

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3017.8333
Minimum638
Maximum10207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:45:34.923643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum638
5-th percentile750.75
Q11077.25
median2212
Q34110.25
95-th percentile8338.65
Maximum10207
Range9569
Interquartile range (IQR)3033

Descriptive statistics

Standard deviation2567.4464
Coefficient of variation (CV)0.85075817
Kurtosis1.3990148
Mean3017.8333
Median Absolute Deviation (MAD)1163.5
Skewness1.4549201
Sum90535
Variance6591780.8
MonotonicityNot monotonic
2023-12-10T22:45:35.161336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2212 2
 
6.7%
2083 1
 
3.3%
638 1
 
3.3%
2432 1
 
3.3%
2818 1
 
3.3%
1055 1
 
3.3%
4481 1
 
3.3%
1144 1
 
3.3%
2697 1
 
3.3%
1402 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
638 1
3.3%
708 1
3.3%
803 1
3.3%
878 1
3.3%
898 1
3.3%
933 1
3.3%
1042 1
3.3%
1055 1
3.3%
1144 1
3.3%
1402 1
3.3%
ValueCountFrequency (%)
10207 1
3.3%
8979 1
3.3%
7556 1
3.3%
6814 1
3.3%
5376 1
3.3%
5373 1
3.3%
4917 1
3.3%
4481 1
3.3%
2998 1
3.3%
2818 1
3.3%

전력사용요금경부하
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1664.8667
Minimum0
Maximum10207
Zeros19
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:45:35.350904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31763
95-th percentile8338.65
Maximum10207
Range10207
Interquartile range (IQR)1763

Descriptive statistics

Standard deviation3045.5444
Coefficient of variation (CV)1.8293023
Kurtosis1.8629019
Mean1664.8667
Median Absolute Deviation (MAD)0
Skewness1.7647674
Sum49946
Variance9275340.5
MonotonicityNot monotonic
2023-12-10T22:45:35.519019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 19
63.3%
2083 1
 
3.3%
5376 1
 
3.3%
10207 1
 
3.3%
8979 1
 
3.3%
803 1
 
3.3%
4917 1
 
3.3%
2294 1
 
3.3%
6814 1
 
3.3%
7556 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 19
63.3%
279 1
 
3.3%
638 1
 
3.3%
803 1
 
3.3%
2083 1
 
3.3%
2294 1
 
3.3%
4917 1
 
3.3%
5376 1
 
3.3%
6814 1
 
3.3%
7556 1
 
3.3%
ValueCountFrequency (%)
10207 1
3.3%
8979 1
3.3%
7556 1
3.3%
6814 1
3.3%
5376 1
3.3%
4917 1
3.3%
2294 1
3.3%
2083 1
3.3%
803 1
3.3%
638 1
3.3%

전력사용요금중부하
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean939
Minimum0
Maximum2998
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:45:35.739928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median888
Q31580.25
95-th percentile2763.55
Maximum2998
Range2998
Interquartile range (IQR)1580.25

Descriptive statistics

Standard deviation1006.3812
Coefficient of variation (CV)1.0717585
Kurtosis-0.81936418
Mean939
Median Absolute Deviation (MAD)888
Skewness0.66643472
Sum28170
Variance1012803.1
MonotonicityNot monotonic
2023-12-10T22:45:35.925008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 13
43.3%
2212 2
 
6.7%
2432 1
 
3.3%
2818 1
 
3.3%
1055 1
 
3.3%
1144 1
 
3.3%
2697 1
 
3.3%
1402 1
 
3.3%
1599 1
 
3.3%
878 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 13
43.3%
708 1
 
3.3%
878 1
 
3.3%
898 1
 
3.3%
933 1
 
3.3%
1042 1
 
3.3%
1055 1
 
3.3%
1144 1
 
3.3%
1402 1
 
3.3%
1524 1
 
3.3%
ValueCountFrequency (%)
2998 1
3.3%
2818 1
3.3%
2697 1
3.3%
2432 1
3.3%
2212 2
6.7%
1618 1
3.3%
1599 1
3.3%
1524 1
3.3%
1402 1
3.3%
1144 1
3.3%

전력사용요금최대부하
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
27 
2565
 
1
5373
 
1
4481
 
1

Length

Max length4
Median length1
Mean length1.3
Min length1

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
90.0%
2565 1
 
3.3%
5373 1
 
3.3%
4481 1
 
3.3%

Length

2023-12-10T22:45:36.190916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:36.380111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
90.0%
2565 1
 
3.3%
5373 1
 
3.3%
4481 1
 
3.3%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-07-18 한전요금제별 충전요금 분석
30 

Length

Max length25
Median length25
Mean length25
Min length25

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-18 한전요금제별 충전요금 분석
2nd row2023-07-18 한전요금제별 충전요금 분석
3rd row2023-07-18 한전요금제별 충전요금 분석
4th row2023-07-18 한전요금제별 충전요금 분석
5th row2023-07-18 한전요금제별 충전요금 분석

Common Values

ValueCountFrequency (%)
2023-07-18 한전요금제별 충전요금 분석 30
100.0%

Length

2023-12-10T22:45:36.918085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:37.099890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-18 30
25.0%
한전요금제별 30
25.0%
충전요금 30
25.0%
분석 30
25.0%

생산일시
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-07-18 09:06:03
30 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-18 09:06:03
2nd row2023-07-18 09:06:03
3rd row2023-07-18 09:06:03
4th row2023-07-18 09:06:03
5th row2023-07-18 09:06:03

Common Values

ValueCountFrequency (%)
2023-07-18 09:06:03 30
100.0%

Length

2023-12-10T22:45:37.272107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:37.419626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-18 30
50.0%
09:06:03 30
50.0%

Interactions

2023-12-10T22:45:31.446366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:30.616066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:31.010565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:31.568155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:30.740219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:31.167196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:31.709144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:30.868464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:31.312212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:45:37.545429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
충전기ID충전건시작일시종료일시전력량요금명기본요금전력사용요금전력사용요금경부하전력사용요금중부하전력사용요금최대부하
충전기ID1.0000.0001.0001.0000.0000.4020.4860.0000.3160.000
충전건0.0001.0001.0001.0000.0000.0000.0000.3020.0000.056
시작일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
종료일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전력량요금명0.0000.0001.0001.0001.0001.0000.0000.0000.5900.000
기본요금0.4020.0001.0001.0001.0001.0000.1770.6560.3990.000
전력사용요금0.4860.0001.0001.0000.0000.1771.0000.9760.3050.000
전력사용요금경부하0.0000.3021.0001.0000.0000.6560.9761.0000.0000.000
전력사용요금중부하0.3160.0001.0001.0000.5900.3990.3050.0001.0000.000
전력사용요금최대부하0.0000.0561.0001.0000.0000.0000.0000.0000.0001.000
2023-12-10T22:45:37.846109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전력량요금명기본요금전력사용요금최대부하충전기ID충전건
전력량요금명1.0000.9640.0000.0000.000
기본요금0.9641.0000.0000.3360.000
전력사용요금최대부하0.0000.0001.0000.0000.000
충전기ID0.0000.3360.0001.0000.000
충전건0.0000.0000.0000.0001.000
2023-12-10T22:45:38.006167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전력사용요금전력사용요금경부하전력사용요금중부하충전기ID충전건전력량요금명기본요금전력사용요금최대부하
전력사용요금1.0000.479-0.2200.0000.0000.0000.0790.000
전력사용요금경부하0.4791.000-0.6680.0000.1800.0000.4350.000
전력사용요금중부하-0.220-0.6681.0000.1130.0000.2570.2510.000
충전기ID0.0000.0000.1131.0000.0000.0000.3360.000
충전건0.0000.1800.0000.0001.0000.0000.0000.000
전력량요금명0.0000.0000.2570.0000.0001.0000.9640.000
기본요금0.0790.4350.2510.3360.0000.9641.0000.000
전력사용요금최대부하0.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-10T22:45:31.953079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:45:32.349124image/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

충전소ID충전기ID충전건시작일시종료일시전력량요금명기본요금전력사용요금전력사용요금경부하전력사용요금중부하전력사용요금최대부하비고생산일시
0KRPPKCS0001KRPPKCP000512023-04-26 07:31:342023-04-26 07:52:45자가소비저압239020832083002023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
1KRPPKCS0001KRPPKCP000312023-04-11 09:51:302023-04-11 10:10:59선택1고압258022120221202023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
2KRPPKCS0001KRPPKCP000222023-04-24 20:43:152023-04-24 20:51:57자가소비저압2390898089802023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
3KRPPKCS0001KRPPKCP000422023-04-05 08:16:262023-04-05 08:43:04전기자동차 고압258029980299802023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
4KRPPKCS0001KRPPKCP000722023-04-10 10:18:092023-04-10 10:37:17전기자동차 고압258022120221202023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
5KRPPKCS0001KRPPKCP000212023-04-22 17:43:502023-04-22 17:53:42선택1고압258010420104202023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
6KRPPKCS0001KRPPKCP000622023-04-01 10:44:472023-04-01 10:53:08전기자동차 고압2580933093302023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
7KRPPKCS0001KRPPKCP000122023-04-02 23:03:072023-04-03 00:00:00자가소비저압239053765376002023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
8KRPPKCS0001KRPPKCP000522023-04-12 09:16:432023-04-12 09:32:03선택1고압258016180161802023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
9KRPPKCS0001KRPPKCP000822023-04-13 00:32:322023-04-13 02:17:51선택1고압25801020710207002023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
충전소ID충전기ID충전건시작일시종료일시전력량요금명기본요금전력사용요금전력사용요금경부하전력사용요금중부하전력사용요금최대부하비고생산일시
20KRPPKCS0001KRPPKCP000422023-04-04 07:57:112023-04-04 08:14:03선택2고압25801878279159902023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
21KRPPKCS0001KRPPKCP000212023-04-28 13:02:562023-04-28 13:49:34선택1고압258053730053732023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
22KRPPKCS0001KRPPKCP000222023-04-06 19:50:262023-04-06 20:03:35선택1고압258014020140202023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
23KRPPKCS0001KRPPKCP000422023-04-11 12:09:262023-04-11 12:33:20선택1고압258026970269702023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
24KRPPKCS0001KRPPKCP000612023-04-11 10:51:012023-04-11 11:00:00선택2고압258011440114402023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
25KRPPKCS0001KRPPKCP000822023-04-11 14:08:282023-04-11 14:47:38전기자동차 고압258044810044812023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
26KRPPKCS0001KRPPKCP000212023-04-08 12:50:282023-04-08 13:00:09선택2고압258010550105502023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
27KRPPKCS0001KRPPKCP000512023-04-08 08:04:592023-04-08 08:29:51전기자동차 고압258028180281802023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
28KRPPKCS0001KRPPKCP000812023-04-19 09:12:512023-04-19 09:34:14선택2고압258024320243202023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03
29KRPPKCS0001KRPPKCP000912023-04-07 04:45:302023-04-07 04:52:02선택1고압2580638638002023-07-18 한전요금제별 충전요금 분석2023-07-18 09:06:03