Overview

Dataset statistics

Number of variables21
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory184.4 B

Variable types

Categorical11
DateTime1
Numeric9

Dataset

Description샘플 데이터
Author펌프킨
URLhttps://bigdata-region.kr/#/dataset/81034bb8-7f62-4fbb-a0bc-3bb2843ba794

Alerts

충전소ID has constant value ""Constant
충전기ID has constant value ""Constant
시도코드 has constant value ""Constant
시군구코드 has constant value ""Constant
충전지역명 has constant value ""Constant
등록일시 has constant value ""Constant
수정일시 has constant value ""Constant
전력사용량(경부하) has 23 (76.7%) zerosZeros
전력사용량(중부하) has 8 (26.7%) zerosZeros
전력사용량(최대부하) has 19 (63.3%) zerosZeros
전력사용요금(경부하) has 23 (76.7%) zerosZeros
전력사용요금(중부하) has 8 (26.7%) zerosZeros
전력사용요금(최대부하) has 18 (60.0%) zerosZeros

Reproduction

Analysis started2023-12-10 14:21:00.999068
Analysis finished2023-12-10 14:21:01.226909
Duration0.23 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
KRPPKCS0004
30 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKRPPKCS0004
2nd rowKRPPKCS0004
3rd rowKRPPKCS0004
4th rowKRPPKCS0004
5th rowKRPPKCS0004

Common Values

ValueCountFrequency (%)
KRPPKCS0004 30
100.0%

Length

2023-12-10T23:21:01.296868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:01.394120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krppkcs0004 30
100.0%

충전기ID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
KRPPKCP0019
30 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKRPPKCP0019
2nd rowKRPPKCP0019
3rd rowKRPPKCP0019
4th rowKRPPKCP0019
5th rowKRPPKCP0019

Common Values

ValueCountFrequency (%)
KRPPKCP0019 30
100.0%

Length

2023-12-10T23:21:01.512264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:01.632642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
krppkcp0019 30
100.0%

채널ID
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
19 
2
11 

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 19
63.3%
2 11
36.7%

Length

2023-12-10T23:21:01.758031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:01.866762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
63.3%
2 11
36.7%

설정시작일시
Categorical

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-08-05 10:33:03
6 
2021-08-05 10:56:01
5 
2021-08-13 10:37:29
5 
2021-08-13 11:00:14
3 
2021-08-26 10:21:23
3 
Other values (4)
8 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row2021-08-02 13:42:12
2nd row2021-08-02 15:36:47
3rd row2021-08-02 15:36:47
4th row2021-08-05 10:56:01
5th row2021-08-13 10:37:29

Common Values

ValueCountFrequency (%)
2021-08-05 10:33:03 6
20.0%
2021-08-05 10:56:01 5
16.7%
2021-08-13 10:37:29 5
16.7%
2021-08-13 11:00:14 3
10.0%
2021-08-26 10:21:23 3
10.0%
2021-08-27 06:30:18 3
10.0%
2021-08-02 15:36:47 2
 
6.7%
2021-08-26 13:43:33 2
 
6.7%
2021-08-02 13:42:12 1
 
3.3%

Length

2023-12-10T23:21:01.985262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:02.120228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-05 11
18.3%
2021-08-13 8
13.3%
10:33:03 6
10.0%
10:56:01 5
8.3%
10:37:29 5
8.3%
2021-08-26 5
8.3%
11:00:14 3
 
5.0%
10:21:23 3
 
5.0%
2021-08-27 3
 
5.0%
06:30:18 3
 
5.0%
Other values (4) 8
13.3%

충전일시
Date

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2021-08-01 09:27:49
Maximum2021-08-31 16:02:00
2023-12-10T23:21:02.290047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:21:02.475391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

설정종료일시
Categorical

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-08-05 10:56:01
6 
2021-08-13 10:37:29
5 
2021-08-13 11:00:14
5 
2021-08-26 10:21:23
3 
2021-08-26 13:43:33
3 
Other values (4)
8 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row2021-08-02 15:36:47
2nd row2021-08-05 10:33:03
3rd row2021-08-05 10:33:03
4th row2021-08-13 10:37:29
5th row2021-08-13 11:00:14

Common Values

ValueCountFrequency (%)
2021-08-05 10:56:01 6
20.0%
2021-08-13 10:37:29 5
16.7%
2021-08-13 11:00:14 5
16.7%
2021-08-26 10:21:23 3
10.0%
2021-08-26 13:43:33 3
10.0%
2021-08-31 07:36:54 3
10.0%
2021-08-05 10:33:03 2
 
6.7%
2021-08-27 06:30:18 2
 
6.7%
2021-08-02 15:36:47 1
 
3.3%

Length

2023-12-10T23:21:02.614924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:02.735438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-08-13 10
16.7%
2021-08-05 8
13.3%
10:56:01 6
10.0%
2021-08-26 6
10.0%
10:37:29 5
8.3%
11:00:14 5
8.3%
10:21:23 3
 
5.0%
13:43:33 3
 
5.0%
2021-08-31 3
 
5.0%
07:36:54 3
 
5.0%
Other values (5) 8
13.3%

시도코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
11
30 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row11
4th row11
5th row11

Common Values

ValueCountFrequency (%)
11 30
100.0%

Length

2023-12-10T23:21:02.903149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:03.003257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 30
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
170
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row170
2nd row170
3rd row170
4th row170
5th row170

Common Values

ValueCountFrequency (%)
170 30
100.0%

Length

2023-12-10T23:21:03.123608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:03.278945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
170 30
100.0%

충전지역명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
서울특별시 용산구 한강로3가
30 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 용산구 한강로3가
2nd row서울특별시 용산구 한강로3가
3rd row서울특별시 용산구 한강로3가
4th row서울특별시 용산구 한강로3가
5th row서울특별시 용산구 한강로3가

Common Values

ValueCountFrequency (%)
서울특별시 용산구 한강로3가 30
100.0%

Length

2023-12-10T23:21:03.370169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:03.456591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 30
33.3%
용산구 30
33.3%
한강로3가 30
33.3%

전력공급시간
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2919.3
Minimum42
Maximum10318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:21:03.556735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile91.1
Q11618.25
median2862
Q33796
95-th percentile5499.65
Maximum10318
Range10276
Interquartile range (IQR)2177.75

Descriptive statistics

Standard deviation2165.6709
Coefficient of variation (CV)0.74184595
Kurtosis3.3113945
Mean2919.3
Median Absolute Deviation (MAD)1243.5
Skewness1.2925398
Sum87579
Variance4690130.4
MonotonicityNot monotonic
2023-12-10T23:21:03.677056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5120 2
 
6.7%
2054 2
 
6.7%
1654 1
 
3.3%
3259 1
 
3.3%
2912 1
 
3.3%
10318 1
 
3.3%
3255 1
 
3.3%
1735 1
 
3.3%
47 1
 
3.3%
3727 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
42 1
3.3%
47 1
3.3%
145 1
3.3%
205 1
3.3%
700 1
3.3%
1309 1
3.3%
1608 1
3.3%
1618 1
3.3%
1619 1
3.3%
1654 1
3.3%
ValueCountFrequency (%)
10318 1
3.3%
5645 1
3.3%
5322 1
3.3%
5120 2
6.7%
4803 1
3.3%
4400 1
3.3%
3819 1
3.3%
3727 1
3.3%
3633 1
3.3%
3427 1
3.3%

총전력사용량
Real number (ℝ)

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.662
Minimum1.14
Maximum119.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:21:03.819827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.14
5-th percentile2.271
Q130.075
median44.76
Q373.275
95-th percentile106.722
Maximum119.16
Range118.02
Interquartile range (IQR)43.2

Descriptive statistics

Standard deviation34.258072
Coefficient of variation (CV)0.66311936
Kurtosis-0.84602667
Mean51.662
Median Absolute Deviation (MAD)19.74
Skewness0.33321967
Sum1549.86
Variance1173.6155
MonotonicityNot monotonic
2023-12-10T23:21:03.958456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
97.2 3
 
10.0%
37.68 2
 
6.7%
31.2 1
 
3.3%
51.84 1
 
3.3%
57.6 1
 
3.3%
119.16 1
 
3.3%
63.36 1
 
3.3%
33.54 1
 
3.3%
1.38 1
 
3.3%
55.98 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
1.14 1
3.3%
1.38 1
3.3%
3.36 1
3.3%
3.6 1
3.3%
13.44 1
3.3%
25.44 1
3.3%
29.7 1
3.3%
30.06 1
3.3%
30.12 1
3.3%
31.2 1
3.3%
ValueCountFrequency (%)
119.16 1
 
3.3%
107.1 1
 
3.3%
106.26 1
 
3.3%
97.2 3
10.0%
83.16 1
 
3.3%
75.78 1
 
3.3%
65.76 1
 
3.3%
64.92 1
 
3.3%
63.36 1
 
3.3%
59.64 1
 
3.3%

총전력사용요금
Real number (ℝ)

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5389.3667
Minimum121
Maximum14152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:21:04.070721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121
5-th percentile291.9
Q11891
median5713
Q36903.25
95-th percentile11856.8
Maximum14152
Range14031
Interquartile range (IQR)5012.25

Descriptive statistics

Standard deviation3774.9655
Coefficient of variation (CV)0.70044696
Kurtosis-0.37944024
Mean5389.3667
Median Absolute Deviation (MAD)2827
Skewness0.45069686
Sum161681
Variance14250364
MonotonicityNot monotonic
2023-12-10T23:21:04.187139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5713 2
 
6.7%
5980 2
 
6.7%
3298 1
 
3.3%
5479 1
 
3.3%
6088 1
 
3.3%
8343 1
 
3.3%
6697 1
 
3.3%
3545 1
 
3.3%
219 1
 
3.3%
6760 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
121 1
3.3%
219 1
3.3%
381 1
3.3%
533 1
3.3%
1411 1
3.3%
1422 1
3.3%
1431 1
3.3%
1625 1
3.3%
2689 1
3.3%
3177 1
3.3%
ValueCountFrequency (%)
14152 1
3.3%
12296 1
3.3%
11320 1
3.3%
9871 1
3.3%
9743 1
3.3%
9037 1
3.3%
8343 1
3.3%
6951 1
3.3%
6760 1
3.3%
6697 1
3.3%

전력사용량(경부하)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.2
Minimum0
Maximum78
Zeros23
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:21:04.294440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile75.75
Maximum78
Range78
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24.11095
Coefficient of variation (CV)2.1527634
Kurtosis3.6028066
Mean11.2
Median Absolute Deviation (MAD)0
Skewness2.1746327
Sum336
Variance581.33793
MonotonicityNot monotonic
2023-12-10T23:21:04.405300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 23
76.7%
30 2
 
6.7%
78 2
 
6.7%
13 1
 
3.3%
34 1
 
3.3%
73 1
 
3.3%
ValueCountFrequency (%)
0 23
76.7%
13 1
 
3.3%
30 2
 
6.7%
34 1
 
3.3%
73 1
 
3.3%
78 2
 
6.7%
ValueCountFrequency (%)
78 2
 
6.7%
73 1
 
3.3%
34 1
 
3.3%
30 2
 
6.7%
13 1
 
3.3%
0 23
76.7%

전력사용량(중부하)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.466667
Minimum0
Maximum107
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:21:04.583057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median24.5
Q350.5
95-th percentile77
Maximum107
Range107
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation29.135514
Coefficient of variation (CV)0.98876178
Kurtosis0.15829899
Mean29.466667
Median Absolute Deviation (MAD)24.5
Skewness0.8427342
Sum884
Variance848.87816
MonotonicityNot monotonic
2023-12-10T23:21:04.767969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 8
26.7%
63 2
 
6.7%
19 2
 
6.7%
52 2
 
6.7%
31 1
 
3.3%
58 1
 
3.3%
46 1
 
3.3%
34 1
 
3.3%
40 1
 
3.3%
66 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0 8
26.7%
1 1
 
3.3%
4 1
 
3.3%
8 1
 
3.3%
13 1
 
3.3%
19 2
 
6.7%
24 1
 
3.3%
25 1
 
3.3%
30 1
 
3.3%
31 1
 
3.3%
ValueCountFrequency (%)
107 1
3.3%
86 1
3.3%
66 1
3.3%
63 2
6.7%
58 1
3.3%
52 2
6.7%
46 1
3.3%
43 1
3.3%
40 1
3.3%
34 1
3.3%

전력사용량(최대부하)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.966667
Minimum0
Maximum73
Zeros19
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:21:04.879382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q319
95-th percentile45.7
Maximum73
Range73
Interquartile range (IQR)19

Descriptive statistics

Standard deviation19.202161
Coefficient of variation (CV)1.7509569
Kurtosis2.7727775
Mean10.966667
Median Absolute Deviation (MAD)0
Skewness1.8103692
Sum329
Variance368.72299
MonotonicityNot monotonic
2023-12-10T23:21:05.100787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 19
63.3%
20 2
 
6.7%
38 2
 
6.7%
52 1
 
3.3%
33 1
 
3.3%
73 1
 
3.3%
35 1
 
3.3%
3 1
 
3.3%
16 1
 
3.3%
1 1
 
3.3%
ValueCountFrequency (%)
0 19
63.3%
1 1
 
3.3%
3 1
 
3.3%
16 1
 
3.3%
20 2
 
6.7%
33 1
 
3.3%
35 1
 
3.3%
38 2
 
6.7%
52 1
 
3.3%
73 1
 
3.3%
ValueCountFrequency (%)
73 1
 
3.3%
52 1
 
3.3%
38 2
 
6.7%
35 1
 
3.3%
33 1
 
3.3%
20 2
 
6.7%
16 1
 
3.3%
3 1
 
3.3%
1 1
 
3.3%
0 19
63.3%

전력사용요금(경부하)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean532.73333
Minimum0
Maximum3722
Zeros23
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:21:05.225138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3609.05
Maximum3722
Range3722
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1148.9061
Coefficient of variation (CV)2.1566251
Kurtosis3.6249648
Mean532.73333
Median Absolute Deviation (MAD)0
Skewness2.1797656
Sum15982
Variance1319985.2
MonotonicityNot monotonic
2023-12-10T23:21:05.632615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 23
76.7%
3722 2
 
6.7%
1411 1
 
3.3%
600 1
 
3.3%
1625 1
 
3.3%
1431 1
 
3.3%
3471 1
 
3.3%
ValueCountFrequency (%)
0 23
76.7%
600 1
 
3.3%
1411 1
 
3.3%
1431 1
 
3.3%
1625 1
 
3.3%
3471 1
 
3.3%
3722 2
 
6.7%
ValueCountFrequency (%)
3722 2
 
6.7%
3471 1
 
3.3%
1625 1
 
3.3%
1431 1
 
3.3%
1411 1
 
3.3%
600 1
 
3.3%
0 23
76.7%

전력사용요금(중부하)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3115.6
Minimum0
Maximum11320
Zeros8
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:21:05.763566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q130.25
median2615
Q35327.25
95-th percentile8138.45
Maximum11320
Range11320
Interquartile range (IQR)5297

Descriptive statistics

Standard deviation3080.2311
Coefficient of variation (CV)0.98864779
Kurtosis0.16970195
Mean3115.6
Median Absolute Deviation (MAD)2615
Skewness0.84449266
Sum93468
Variance9487823.4
MonotonicityNot monotonic
2023-12-10T23:21:05.883764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 8
26.7%
1991 2
 
6.7%
3298 1
 
3.3%
6632 1
 
3.3%
6088 1
 
3.3%
4872 1
 
3.3%
6697 1
 
3.3%
3545 1
 
3.3%
4234 1
 
3.3%
6951 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 8
26.7%
121 1
 
3.3%
381 1
 
3.3%
854 1
 
3.3%
1417 1
 
3.3%
1991 2
 
6.7%
2541 1
 
3.3%
2689 1
 
3.3%
3177 1
 
3.3%
3298 1
 
3.3%
ValueCountFrequency (%)
11320 1
3.3%
9110 1
3.3%
6951 1
3.3%
6697 1
3.3%
6632 1
3.3%
6088 1
3.3%
5526 1
3.3%
5479 1
3.3%
4872 1
3.3%
4554 1
3.3%

전력사용요금(최대부하)
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1741.0333
Minimum0
Maximum11611
Zeros18
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T23:21:05.989193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33021
95-th percentile7191.65
Maximum11611
Range11611
Interquartile range (IQR)3021

Descriptive statistics

Standard deviation3038.706
Coefficient of variation (CV)1.7453462
Kurtosis2.8359558
Mean1741.0333
Median Absolute Deviation (MAD)0
Skewness1.8172089
Sum52231
Variance9233734
MonotonicityNot monotonic
2023-12-10T23:21:06.095327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 18
60.0%
5980 2
 
6.7%
3186 1
 
3.3%
8183 1
 
3.3%
5189 1
 
3.3%
11611 1
 
3.3%
5580 1
 
3.3%
533 1
 
3.3%
3239 1
 
3.3%
5 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 18
60.0%
5 1
 
3.3%
219 1
 
3.3%
533 1
 
3.3%
2526 1
 
3.3%
3186 1
 
3.3%
3239 1
 
3.3%
5189 1
 
3.3%
5580 1
 
3.3%
5980 2
 
6.7%
ValueCountFrequency (%)
11611 1
3.3%
8183 1
3.3%
5980 2
6.7%
5580 1
3.3%
5189 1
3.3%
3239 1
3.3%
3186 1
3.3%
2526 1
3.3%
533 1
3.3%
219 1
3.3%

메모내용
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황
11 
2021년 08월 13일 충전기 설정 대비 전력 효율 분석 현황
8 
2021년 08월 26일 충전기 설정 대비 전력 효율 분석 현황
5 
2021년 08월 02일 충전기 설정 대비 전력 효율 분석 현황
3 
2021년 08월 27일 충전기 설정 대비 전력 효율 분석 현황
3 

Length

Max length35
Median length35
Mean length35
Min length35

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021년 08월 02일 충전기 설정 대비 전력 효율 분석 현황
2nd row2021년 08월 02일 충전기 설정 대비 전력 효율 분석 현황
3rd row2021년 08월 02일 충전기 설정 대비 전력 효율 분석 현황
4th row2021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황
5th row2021년 08월 13일 충전기 설정 대비 전력 효율 분석 현황

Common Values

ValueCountFrequency (%)
2021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황 11
36.7%
2021년 08월 13일 충전기 설정 대비 전력 효율 분석 현황 8
26.7%
2021년 08월 26일 충전기 설정 대비 전력 효율 분석 현황 5
16.7%
2021년 08월 02일 충전기 설정 대비 전력 효율 분석 현황 3
 
10.0%
2021년 08월 27일 충전기 설정 대비 전력 효율 분석 현황 3
 
10.0%

Length

2023-12-10T23:21:06.244093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:06.370616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021년 30
10.0%
08월 30
10.0%
충전기 30
10.0%
설정 30
10.0%
대비 30
10.0%
전력 30
10.0%
효율 30
10.0%
분석 30
10.0%
현황 30
10.0%
05일 11
 
3.7%
Other values (4) 19
6.3%

등록일시
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-12-01 16:14:27
30 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-01 16:14:27
2nd row2021-12-01 16:14:27
3rd row2021-12-01 16:14:27
4th row2021-12-01 16:14:27
5th row2021-12-01 16:14:27

Common Values

ValueCountFrequency (%)
2021-12-01 16:14:27 30
100.0%

Length

2023-12-10T23:21:06.547358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:06.689672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-01 30
50.0%
16:14:27 30
50.0%

수정일시
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2021-12-01 16:14:27
30 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-01 16:14:27
2nd row2021-12-01 16:14:27
3rd row2021-12-01 16:14:27
4th row2021-12-01 16:14:27
5th row2021-12-01 16:14:27

Common Values

ValueCountFrequency (%)
2021-12-01 16:14:27 30
100.0%

Length

2023-12-10T23:21:06.841957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:21:06.975484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-01 30
50.0%
16:14:27 30
50.0%

Sample

충전소ID충전기ID채널ID설정시작일시충전일시설정종료일시시도코드시군구코드충전지역명전력공급시간총전력사용량총전력사용요금전력사용량(경부하)전력사용량(중부하)전력사용량(최대부하)전력사용요금(경부하)전력사용요금(중부하)전력사용요금(최대부하)메모내용등록일시수정일시
0KRPPKCS0004KRPPKCP001912021-08-02 13:42:122021-08-31 09:32:062021-08-02 15:36:4711170서울특별시 용산구 한강로3가165431.2329803100329802021년 08월 02일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
1KRPPKCS0004KRPPKCP001912021-08-02 15:36:472021-08-01 09:27:492021-08-05 10:33:0311170서울특별시 용산구 한강로3가160829.7141130001411002021년 08월 02일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
2KRPPKCS0004KRPPKCP001912021-08-02 15:36:472021-08-14 22:50:032021-08-05 10:33:0311170서울특별시 용산구 한강로3가512097.25713781903722199102021년 08월 02일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
3KRPPKCS0004KRPPKCP001912021-08-05 10:56:012021-08-17 22:32:342021-08-13 10:37:2911170서울특별시 용산구 한강로3가340464.92612613520600552602021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
4KRPPKCS0004KRPPKCP001912021-08-13 10:37:292021-08-14 22:50:032021-08-13 11:00:1411170서울특별시 용산구 한강로3가512097.25713781903722199102021년 08월 13일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
5KRPPKCS0004KRPPKCP001912021-08-13 10:37:292021-08-20 09:57:552021-08-13 11:00:1411170서울특별시 용산구 한강로3가2053.6381040038102021년 08월 13일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
6KRPPKCS0004KRPPKCP001912021-08-13 10:37:292021-08-25 16:49:552021-08-13 11:00:1411170서울특별시 용산구 한강로3가5322106.2612296086200911031862021년 08월 13일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
7KRPPKCS0004KRPPKCP001912021-08-13 10:37:292021-08-30 21:59:042021-08-13 11:00:1411170서울특별시 용산구 한강로3가5645107.1113200107001132002021년 08월 13일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
8KRPPKCS0004KRPPKCP001912021-08-13 11:00:142021-08-01 20:07:452021-08-26 10:21:2311170서울특별시 용산구 한강로3가181334.2162534001625002021년 08월 13일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
9KRPPKCS0004KRPPKCP001912021-08-13 11:00:142021-08-04 16:28:242021-08-26 10:21:2311170서울특별시 용산구 한강로3가363359.6490370852085481832021년 08월 13일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
충전소ID충전기ID채널ID설정시작일시충전일시설정종료일시시도코드시군구코드충전지역명전력공급시간총전력사용량총전력사용요금전력사용량(경부하)전력사용량(중부하)전력사용량(최대부하)전력사용요금(경부하)전력사용요금(중부하)전력사용요금(최대부하)메모내용등록일시수정일시
20KRPPKCS0004KRPPKCP001922021-08-05 10:33:032021-08-19 16:49:122021-08-05 10:56:0111170서울특별시 용산구 한강로3가440083.169871063200663232392021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
21KRPPKCS0004KRPPKCP001922021-08-05 10:33:032021-08-25 12:53:012021-08-05 10:56:0111170서울특별시 용산구 한강로3가70013.44142201300141752021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
22KRPPKCS0004KRPPKCP001922021-08-05 10:33:032021-08-26 22:01:462021-08-05 10:56:0111170서울특별시 용산구 한강로3가421.14121010012102021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
23KRPPKCS0004KRPPKCP001922021-08-05 10:33:032021-08-26 22:04:052021-08-05 10:56:0111170서울특별시 용산구 한강로3가342765.76695106600695102021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
24KRPPKCS0004KRPPKCP001922021-08-05 10:33:032021-08-30 16:49:212021-08-05 10:56:0111170서울특별시 용산구 한강로3가372755.986760040160423425262021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
25KRPPKCS0004KRPPKCP001922021-08-05 10:56:012021-08-02 14:26:142021-08-13 10:37:2911170서울특별시 용산구 한강로3가471.38219001002192021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
26KRPPKCS0004KRPPKCP001922021-08-05 10:56:012021-08-07 09:27:422021-08-13 10:37:2911170서울특별시 용산구 한강로3가173533.54354503400354502021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
27KRPPKCS0004KRPPKCP001922021-08-05 10:56:012021-08-10 22:04:142021-08-13 10:37:2911170서울특별시 용산구 한강로3가325563.36669706300669702021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
28KRPPKCS0004KRPPKCP001922021-08-05 10:56:012021-08-13 22:35:312021-08-13 10:37:2911170서울특별시 용산구 한강로3가10318119.168343734603471487202021년 08월 05일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27
29KRPPKCS0004KRPPKCP001922021-08-13 10:37:292021-08-09 17:08:232021-08-13 11:00:1411170서울특별시 용산구 한강로3가291257.6608805800608802021년 08월 13일 충전기 설정 대비 전력 효율 분석 현황2021-12-01 16:14:272021-12-01 16:14:27