Overview

Dataset statistics

Number of variables25
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory227.1 B

Variable types

Categorical4
Numeric21

Dataset

Descriptione배전정보 내선계기 및 변합기 통계에 관한 정보로 연도별, 본부/지사, AMI 형태 및 방식, 시간대별로, 역률, AMI타입별로 통계자료를 나타냅니다.
Author한국전력공사
URLhttps://www.data.go.kr/data/3068749/fileData.do

Alerts

고압기계식 is highly imbalanced (84.1%)Imbalance
기타 is highly imbalanced (59.5%)Imbalance
표준형 has unique valuesUnique
고압계 has unique valuesUnique
기계식 has unique valuesUnique
OMR has unique valuesUnique
RFID has unique valuesUnique
소계 has unique valuesUnique
E타입 has unique valuesUnique
G타입 has unique valuesUnique
CT일체형 has unique valuesUnique
RFID(2) has unique valuesUnique
소계(2) has unique valuesUnique
저압계 has unique valuesUnique
최대수요전력계(DM) has unique valuesUnique
총계 has unique valuesUnique
거래용 has 1 (2.3%) zerosZeros
일반 has 3 (7.0%) zerosZeros
합계 has 7 (16.3%) zerosZeros

Reproduction

Analysis started2023-12-12 06:25:51.605740
Analysis finished2023-12-12 06:25:51.816958
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2017
15 
2018
15 
2019
13 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017
2nd row2017
3rd row2017
4th row2017
5th row2017

Common Values

ValueCountFrequency (%)
2017 15
34.9%
2018 15
34.9%
2019 13
30.2%

Length

2023-12-12T15:25:51.870798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:51.966741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017 15
34.9%
2018 15
34.9%
2019 13
30.2%

사업소
Categorical

Distinct15
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size476.0 B
서울본부
남서울본부
인천본부
경기북부본부
경기본부
Other values (10)
28 

Length

Max length8
Median length4
Mean length4.7674419
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울본부
2nd row남서울본부
3rd row인천본부
4th row경기북부본부
5th row경기본부

Common Values

ValueCountFrequency (%)
서울본부 3
 
7.0%
남서울본부 3
 
7.0%
인천본부 3
 
7.0%
경기북부본부 3
 
7.0%
경기본부 3
 
7.0%
대전세종충남본부 3
 
7.0%
전북본부 3
 
7.0%
광주전남본부 3
 
7.0%
대구본부 3
 
7.0%
경북본부 3
 
7.0%
Other values (5) 13
30.2%

Length

2023-12-12T15:25:52.074439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울본부 3
 
7.0%
남서울본부 3
 
7.0%
인천본부 3
 
7.0%
경기북부본부 3
 
7.0%
경기본부 3
 
7.0%
대전세종충남본부 3
 
7.0%
전북본부 3
 
7.0%
광주전남본부 3
 
7.0%
대구본부 3
 
7.0%
경북본부 3
 
7.0%
Other values (5) 13
30.2%

기록형
Real number (ℝ)

Distinct40
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.48837
Minimum3
Maximum1069
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:52.220239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q126.5
median81
Q3186
95-th percentile557
Maximum1069
Range1066
Interquartile range (IQR)159.5

Descriptive statistics

Standard deviation217.27932
Coefficient of variation (CV)1.3796531
Kurtosis7.5853861
Mean157.48837
Median Absolute Deviation (MAD)63
Skewness2.5696014
Sum6772
Variance47210.303
MonotonicityNot monotonic
2023-12-12T15:25:52.348234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
42 2
 
4.7%
3 2
 
4.7%
5 2
 
4.7%
18 1
 
2.3%
23 1
 
2.3%
60 1
 
2.3%
210 1
 
2.3%
81 1
 
2.3%
96 1
 
2.3%
93 1
 
2.3%
Other values (30) 30
69.8%
ValueCountFrequency (%)
3 2
4.7%
5 2
4.7%
9 1
2.3%
15 1
2.3%
18 1
2.3%
19 1
2.3%
22 1
2.3%
23 1
2.3%
24 1
2.3%
29 1
2.3%
ValueCountFrequency (%)
1069 1
2.3%
769 1
2.3%
570 1
2.3%
440 1
2.3%
378 1
2.3%
366 1
2.3%
318 1
2.3%
283 1
2.3%
228 1
2.3%
210 1
2.3%

표준형
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14749.721
Minimum2885
Maximum36493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:52.492617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2885
5-th percentile3354.4
Q19077.5
median14016
Q318794.5
95-th percentile33158.5
Maximum36493
Range33608
Interquartile range (IQR)9717

Descriptive statistics

Standard deviation8151.3376
Coefficient of variation (CV)0.55264351
Kurtosis1.0299313
Mean14749.721
Median Absolute Deviation (MAD)4941
Skewness0.97140438
Sum634238
Variance66444304
MonotonicityNot monotonic
2023-12-12T15:25:52.621733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
9360 1
 
2.3%
12710 1
 
2.3%
15289 1
 
2.3%
20710 1
 
2.3%
5983 1
 
2.3%
24388 1
 
2.3%
14016 1
 
2.3%
3025 1
 
2.3%
9566 1
 
2.3%
13057 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
2885 1
2.3%
3025 1
2.3%
3089 1
2.3%
5743 1
2.3%
5983 1
2.3%
6143 1
2.3%
6227 1
2.3%
6821 1
2.3%
8677 1
2.3%
8937 1
2.3%
ValueCountFrequency (%)
36493 1
2.3%
35861 1
2.3%
34107 1
2.3%
24622 1
2.3%
24388 1
2.3%
23834 1
2.3%
20919 1
2.3%
20710 1
2.3%
19996 1
2.3%
19136 1
2.3%

거래용
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5813953
Minimum0
Maximum35
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:52.748658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q314
95-th percentile27
Maximum35
Range35
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.101242
Coefficient of variation (CV)0.84551797
Kurtosis2.2127932
Mean9.5813953
Median Absolute Deviation (MAD)5
Skewness1.3642945
Sum412
Variance65.630122
MonotonicityNot monotonic
2023-12-12T15:25:52.874152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 6
14.0%
5 5
11.6%
15 4
 
9.3%
4 3
 
7.0%
14 3
 
7.0%
12 3
 
7.0%
2 2
 
4.7%
8 2
 
4.7%
11 2
 
4.7%
7 2
 
4.7%
Other values (10) 11
25.6%
ValueCountFrequency (%)
0 1
 
2.3%
1 6
14.0%
2 2
 
4.7%
3 1
 
2.3%
4 3
7.0%
5 5
11.6%
6 1
 
2.3%
7 2
 
4.7%
8 2
 
4.7%
10 1
 
2.3%
ValueCountFrequency (%)
35 1
 
2.3%
32 1
 
2.3%
28 1
 
2.3%
18 1
 
2.3%
17 1
 
2.3%
15 4
9.3%
14 3
7.0%
13 2
4.7%
12 3
7.0%
11 2
4.7%

고압기계식
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
42 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 42
97.7%
1 1
 
2.3%

Length

2023-12-12T15:25:53.008144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:53.115279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 42
97.7%
1 1
 
2.3%

고압계
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14916.814
Minimum2902
Maximum36606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:53.239655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2902
5-th percentile3374.6
Q19146
median14110
Q319115.5
95-th percentile33870.3
Maximum36606
Range33704
Interquartile range (IQR)9969.5

Descriptive statistics

Standard deviation8227.1217
Coefficient of variation (CV)0.55153344
Kurtosis0.99541456
Mean14916.814
Median Absolute Deviation (MAD)4973
Skewness0.96239262
Sum641423
Variance67685531
MonotonicityNot monotonic
2023-12-12T15:25:53.400040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
9379 1
 
2.3%
12796 1
 
2.3%
15513 1
 
2.3%
20763 1
 
2.3%
6069 1
 
2.3%
24498 1
 
2.3%
14110 1
 
2.3%
3037 1
 
2.3%
9570 1
 
2.3%
13082 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
2902 1
2.3%
3037 1
2.3%
3101 1
2.3%
5837 1
2.3%
6069 1
2.3%
6166 1
2.3%
6670 1
2.3%
7108 1
2.3%
8803 1
2.3%
9012 1
2.3%
ValueCountFrequency (%)
36606 1
2.3%
36033 1
2.3%
34889 1
2.3%
24702 1
2.3%
24498 1
2.3%
24029 1
2.3%
20951 1
2.3%
20763 1
2.3%
20374 1
2.3%
19519 1
2.3%

기계식
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169673.35
Minimum11740
Maximum408429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:53.550892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11740
5-th percentile42811.4
Q1108865.5
median156249
Q3210078
95-th percentile348260.8
Maximum408429
Range396689
Interquartile range (IQR)101212.5

Descriptive statistics

Standard deviation96887.538
Coefficient of variation (CV)0.5710239
Kurtosis-0.0037134421
Mean169673.35
Median Absolute Deviation (MAD)49601
Skewness0.7452973
Sum7295954
Variance9.387195 × 109
MonotonicityNot monotonic
2023-12-12T15:25:53.738712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
348753 1
 
2.3%
343831 1
 
2.3%
177837 1
 
2.3%
214097 1
 
2.3%
92454 1
 
2.3%
139090 1
 
2.3%
113198 1
 
2.3%
19681 1
 
2.3%
166171 1
 
2.3%
143811 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
11740 1
2.3%
19681 1
2.3%
41848 1
2.3%
51482 1
2.3%
57796 1
2.3%
69527 1
2.3%
85576 1
2.3%
87948 1
2.3%
92454 1
2.3%
106648 1
2.3%
ValueCountFrequency (%)
408429 1
2.3%
364877 1
2.3%
348753 1
2.3%
343831 1
2.3%
328891 1
2.3%
317493 1
2.3%
296733 1
2.3%
292512 1
2.3%
222094 1
2.3%
220256 1
2.3%

OMR
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3838.1395
Minimum536
Maximum19638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:53.907766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum536
5-th percentile657.1
Q1942.5
median1971
Q34800
95-th percentile14180.6
Maximum19638
Range19102
Interquartile range (IQR)3857.5

Descriptive statistics

Standard deviation4457.3825
Coefficient of variation (CV)1.1613393
Kurtosis3.7692969
Mean3838.1395
Median Absolute Deviation (MAD)1211
Skewness2.0090531
Sum165040
Variance19868258
MonotonicityNot monotonic
2023-12-12T15:25:54.073752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
12035 1
 
2.3%
5229 1
 
2.3%
1195 1
 
2.3%
1991 1
 
2.3%
1429 1
 
2.3%
15129 1
 
2.3%
1395 1
 
2.3%
888 1
 
2.3%
2504 1
 
2.3%
3090 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
536 1
2.3%
580 1
2.3%
655 1
2.3%
676 1
2.3%
737 1
2.3%
760 1
2.3%
801 1
2.3%
826 1
2.3%
888 1
2.3%
912 1
2.3%
ValueCountFrequency (%)
19638 1
2.3%
15129 1
2.3%
14419 1
2.3%
12035 1
2.3%
11260 1
2.3%
7880 1
2.3%
6807 1
2.3%
6264 1
2.3%
5564 1
2.3%
5229 1
2.3%

RFID
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23616.884
Minimum1609
Maximum67089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:54.250940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1609
5-th percentile3746.3
Q114842.5
median20478
Q330354.5
95-th percentile42931.1
Maximum67089
Range65480
Interquartile range (IQR)15512

Descriptive statistics

Standard deviation14124.347
Coefficient of variation (CV)0.59806143
Kurtosis2.541313
Mean23616.884
Median Absolute Deviation (MAD)7417
Skewness1.2802004
Sum1015526
Variance1.9949718 × 108
MonotonicityNot monotonic
2023-12-12T15:25:54.402170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
32497 1
 
2.3%
36743 1
 
2.3%
42964 1
 
2.3%
42635 1
 
2.3%
14504 1
 
2.3%
13544 1
 
2.3%
30976 1
 
2.3%
2116 1
 
2.3%
17622 1
 
2.3%
19602 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
1609 1
2.3%
2116 1
2.3%
3259 1
2.3%
8132 1
2.3%
8739 1
2.3%
11892 1
2.3%
12807 1
2.3%
13169 1
2.3%
13544 1
2.3%
14504 1
2.3%
ValueCountFrequency (%)
67089 1
2.3%
67068 1
2.3%
42964 1
2.3%
42635 1
2.3%
37418 1
2.3%
36743 1
2.3%
36657 1
2.3%
36139 1
2.3%
32497 1
2.3%
32125 1
2.3%

소계
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197128.37
Minimum13885
Maximum449238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:54.597449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13885
5-th percentile47861.3
Q1128417
median179960
Q3241977.5
95-th percentile393041.1
Maximum449238
Range435353
Interquartile range (IQR)113560.5

Descriptive statistics

Standard deviation110085.43
Coefficient of variation (CV)0.55844538
Kurtosis-0.034094857
Mean197128.37
Median Absolute Deviation (MAD)55514
Skewness0.71016886
Sum8476520
Variance1.2118802 × 1010
MonotonicityNot monotonic
2023-12-12T15:25:54.786385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
393285 1
 
2.3%
385803 1
 
2.3%
221996 1
 
2.3%
258723 1
 
2.3%
108387 1
 
2.3%
167763 1
 
2.3%
145569 1
 
2.3%
22685 1
 
2.3%
186297 1
 
2.3%
166503 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
13885 1
2.3%
22685 1
2.3%
46491 1
2.3%
60194 1
2.3%
67295 1
2.3%
89303 1
2.3%
101581 1
2.3%
108387 1
2.3%
109041 1
2.3%
124446 1
2.3%
ValueCountFrequency (%)
449238 1
2.3%
439825 1
2.3%
393285 1
2.3%
390846 1
2.3%
385803 1
2.3%
377478 1
2.3%
337726 1
2.3%
322457 1
2.3%
258723 1
2.3%
256428 1
2.3%

심야용
Real number (ℝ)

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264.90698
Minimum5
Maximum1978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:54.971444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11
Q150.5
median125
Q3309.5
95-th percentile825.7
Maximum1978
Range1973
Interquartile range (IQR)259

Descriptive statistics

Standard deviation368.57504
Coefficient of variation (CV)1.3913376
Kurtosis11.204591
Mean264.90698
Median Absolute Deviation (MAD)100
Skewness3.0244653
Sum11391
Variance135847.56
MonotonicityNot monotonic
2023-12-12T15:25:55.157926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
11 3
 
7.0%
309 1
 
2.3%
71 1
 
2.3%
116 1
 
2.3%
715 1
 
2.3%
294 1
 
2.3%
41 1
 
2.3%
10 1
 
2.3%
5 1
 
2.3%
54 1
 
2.3%
Other values (31) 31
72.1%
ValueCountFrequency (%)
5 1
 
2.3%
10 1
 
2.3%
11 3
7.0%
21 1
 
2.3%
30 1
 
2.3%
35 1
 
2.3%
36 1
 
2.3%
41 1
 
2.3%
47 1
 
2.3%
54 1
 
2.3%
ValueCountFrequency (%)
1978 1
2.3%
1228 1
2.3%
838 1
2.3%
715 1
2.3%
606 1
2.3%
578 1
2.3%
446 1
2.3%
418 1
2.3%
384 1
2.3%
369 1
2.3%

복합
Real number (ℝ)

Distinct41
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean408.93023
Minimum6
Maximum1925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:55.343291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile31.9
Q191
median215
Q3576
95-th percentile1360.9
Maximum1925
Range1919
Interquartile range (IQR)485

Descriptive statistics

Standard deviation469.72522
Coefficient of variation (CV)1.1486684
Kurtosis2.7082291
Mean408.93023
Median Absolute Deviation (MAD)150
Skewness1.7805294
Sum17584
Variance220641.78
MonotonicityNot monotonic
2023-12-12T15:25:55.494216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
54 2
 
4.7%
124 2
 
4.7%
97 1
 
2.3%
189 1
 
2.3%
541 1
 
2.3%
218 1
 
2.3%
1216 1
 
2.3%
199 1
 
2.3%
177 1
 
2.3%
64 1
 
2.3%
Other values (31) 31
72.1%
ValueCountFrequency (%)
6 1
2.3%
25 1
2.3%
30 1
2.3%
49 1
2.3%
54 2
4.7%
64 1
2.3%
65 1
2.3%
76 1
2.3%
84 1
2.3%
85 1
2.3%
ValueCountFrequency (%)
1925 1
2.3%
1746 1
2.3%
1377 1
2.3%
1216 1
2.3%
1153 1
2.3%
1037 1
2.3%
817 1
2.3%
716 1
2.3%
634 1
2.3%
612 1
2.3%

역률용
Real number (ℝ)

Distinct40
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266.5814
Minimum13
Maximum1220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:55.678477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile28.2
Q173
median144
Q3362
95-th percentile862.1
Maximum1220
Range1207
Interquartile range (IQR)289

Descriptive statistics

Standard deviation273.04511
Coefficient of variation (CV)1.0242467
Kurtosis2.7957194
Mean266.5814
Median Absolute Deviation (MAD)105
Skewness1.6646111
Sum11463
Variance74553.63
MonotonicityNot monotonic
2023-12-12T15:25:56.212417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
138 2
 
4.7%
50 2
 
4.7%
49 2
 
4.7%
883 1
 
2.3%
56 1
 
2.3%
374 1
 
2.3%
884 1
 
2.3%
137 1
 
2.3%
27 1
 
2.3%
83 1
 
2.3%
Other values (30) 30
69.8%
ValueCountFrequency (%)
13 1
2.3%
23 1
2.3%
27 1
2.3%
39 1
2.3%
49 2
4.7%
50 2
4.7%
54 1
2.3%
56 1
2.3%
72 1
2.3%
74 1
2.3%
ValueCountFrequency (%)
1220 1
2.3%
884 1
2.3%
883 1
2.3%
674 1
2.3%
645 1
2.3%
562 1
2.3%
542 1
2.3%
503 1
2.3%
453 1
2.3%
415 1
2.3%

E타입
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean829026.42
Minimum199783
Maximum1386136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:56.365765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199783
5-th percentile233003.5
Q1621076.5
median814756
Q31087870
95-th percentile1353227.6
Maximum1386136
Range1186353
Interquartile range (IQR)466793.5

Descriptive statistics

Standard deviation307435.5
Coefficient of variation (CV)0.37083921
Kurtosis-0.47800587
Mean829026.42
Median Absolute Deviation (MAD)262813
Skewness-0.22392362
Sum35648136
Variance9.451659 × 1010
MonotonicityNot monotonic
2023-12-12T15:25:56.556691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
930483 1
 
2.3%
944202 1
 
2.3%
1101897 1
 
2.3%
1013670 1
 
2.3%
499254 1
 
2.3%
1108225 1
 
2.3%
797642 1
 
2.3%
201658 1
 
2.3%
915046 1
 
2.3%
944693 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
199783 1
2.3%
201658 1
2.3%
204581 1
2.3%
488806 1
2.3%
499254 1
2.3%
499976 1
2.3%
503546 1
2.3%
504119 1
2.3%
535033 1
2.3%
541634 1
2.3%
ValueCountFrequency (%)
1386136 1
2.3%
1377770 1
2.3%
1374037 1
2.3%
1165943 1
2.3%
1161207 1
2.3%
1153580 1
2.3%
1110414 1
2.3%
1108225 1
2.3%
1101897 1
2.3%
1100116 1
2.3%

G타입
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182192
Minimum40456
Maximum435983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:56.755893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40456
5-th percentile56525.6
Q196223
median151064
Q3263107.5
95-th percentile384185.1
Maximum435983
Range395527
Interquartile range (IQR)166884.5

Descriptive statistics

Standard deviation108534.18
Coefficient of variation (CV)0.5957132
Kurtosis-0.61290414
Mean182192
Median Absolute Deviation (MAD)76933
Skewness0.661089
Sum7834256
Variance1.1779668 × 1010
MonotonicityNot monotonic
2023-12-12T15:25:56.963933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
167856 1
 
2.3%
108066 1
 
2.3%
205604 1
 
2.3%
255313 1
 
2.3%
100159 1
 
2.3%
300523 1
 
2.3%
188141 1
 
2.3%
77013 1
 
2.3%
387096 1
 
2.3%
336330 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
40456 1
2.3%
41153 1
2.3%
56479 1
2.3%
56945 1
2.3%
69146 1
2.3%
72736 1
2.3%
74131 1
2.3%
77013 1
2.3%
80038 1
2.3%
92750 1
2.3%
ValueCountFrequency (%)
435983 1
2.3%
398889 1
2.3%
387096 1
2.3%
357987 1
2.3%
336330 1
2.3%
336081 1
2.3%
300523 1
2.3%
299430 1
2.3%
276981 1
2.3%
274801 1
2.3%

CT일체형
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180807.33
Minimum66694
Maximum359596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:57.124144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66694
5-th percentile91926.1
Q1126856.5
median168861
Q3226415.5
95-th percentile275046
Maximum359596
Range292902
Interquartile range (IQR)99559

Descriptive statistics

Standard deviation65931.23
Coefficient of variation (CV)0.36464911
Kurtosis0.087418619
Mean180807.33
Median Absolute Deviation (MAD)46558
Skewness0.60240565
Sum7774715
Variance4.346927 × 109
MonotonicityNot monotonic
2023-12-12T15:25:57.290342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
119004 1
 
2.3%
111326 1
 
2.3%
235001 1
 
2.3%
249509 1
 
2.3%
110070 1
 
2.3%
217587 1
 
2.3%
209119 1
 
2.3%
83471 1
 
2.3%
168065 1
 
2.3%
159658 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
66694 1
2.3%
83471 1
2.3%
91693 1
2.3%
94024 1
2.3%
110070 1
2.3%
111326 1
2.3%
117116 1
2.3%
119004 1
2.3%
122303 1
2.3%
124086 1
2.3%
ValueCountFrequency (%)
359596 1
2.3%
324737 1
2.3%
275242 1
2.3%
273282 1
2.3%
267427 1
2.3%
260497 1
2.3%
249509 1
2.3%
246803 1
2.3%
241730 1
2.3%
235001 1
2.3%

일반
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean639.25581
Minimum0
Maximum2157
Zeros3
Zeros (%)7.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:57.433100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.6
Q1110
median289
Q31343
95-th percentile1770.4
Maximum2157
Range2157
Interquartile range (IQR)1233

Descriptive statistics

Standard deviation652.97258
Coefficient of variation (CV)1.0214574
Kurtosis-0.63147384
Mean639.25581
Median Absolute Deviation (MAD)262
Skewness0.87712713
Sum27488
Variance426373.19
MonotonicityNot monotonic
2023-12-12T15:25:57.588156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 3
 
7.0%
64 2
 
4.7%
56 2
 
4.7%
69 1
 
2.3%
269 1
 
2.3%
109 1
 
2.3%
58 1
 
2.3%
568 1
 
2.3%
1539 1
 
2.3%
272 1
 
2.3%
Other values (29) 29
67.4%
ValueCountFrequency (%)
0 3
7.0%
56 2
4.7%
58 1
 
2.3%
64 2
4.7%
69 1
 
2.3%
92 1
 
2.3%
109 1
 
2.3%
111 1
 
2.3%
130 1
 
2.3%
135 1
 
2.3%
ValueCountFrequency (%)
2157 1
2.3%
2055 1
2.3%
1795 1
2.3%
1549 1
2.3%
1539 1
2.3%
1521 1
2.3%
1490 1
2.3%
1488 1
2.3%
1478 1
2.3%
1391 1
2.3%

RFID(2)
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean980.60465
Minimum28
Maximum4300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:57.763707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile56.4
Q1333.5
median726
Q31324.5
95-th percentile2222.6
Maximum4300
Range4272
Interquartile range (IQR)991

Descriptive statistics

Standard deviation919.12031
Coefficient of variation (CV)0.93729956
Kurtosis3.4143226
Mean980.60465
Median Absolute Deviation (MAD)459
Skewness1.6818749
Sum42166
Variance844782.15
MonotonicityNot monotonic
2023-12-12T15:25:57.966758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1497 1
 
2.3%
2177 1
 
2.3%
609 1
 
2.3%
772 1
 
2.3%
219 1
 
2.3%
2030 1
 
2.3%
514 1
 
2.3%
96 1
 
2.3%
356 1
 
2.3%
540 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
28 1
2.3%
51 1
2.3%
52 1
2.3%
96 1
2.3%
133 1
2.3%
181 1
2.3%
196 1
2.3%
219 1
2.3%
234 1
2.3%
304 1
2.3%
ValueCountFrequency (%)
4300 1
2.3%
3422 1
2.3%
2226 1
2.3%
2192 1
2.3%
2177 1
2.3%
2030 1
2.3%
1946 1
2.3%
1851 1
2.3%
1679 1
2.3%
1497 1
2.3%

소계(2)
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85231.186
Minimum25527
Maximum157321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:58.130242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25527
5-th percentile34797.4
Q169563.5
median85531
Q3100574
95-th percentile139325.6
Maximum157321
Range131794
Interquartile range (IQR)31010.5

Descriptive statistics

Standard deviation29326.893
Coefficient of variation (CV)0.34408641
Kurtosis0.17328159
Mean85231.186
Median Absolute Deviation (MAD)16459
Skewness0.24155953
Sum3664941
Variance8.6006663 × 108
MonotonicityNot monotonic
2023-12-12T15:25:58.306413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
91416 1
 
2.3%
86435 1
 
2.3%
107537 1
 
2.3%
97780 1
 
2.3%
49785 1
 
2.3%
99158 1
 
2.3%
90476 1
 
2.3%
29999 1
 
2.3%
70929 1
 
2.3%
70782 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
25527 1
2.3%
29999 1
2.3%
33793 1
2.3%
43837 1
2.3%
49785 1
2.3%
53659 1
2.3%
56364 1
2.3%
62213 1
2.3%
63152 1
2.3%
67891 1
2.3%
ValueCountFrequency (%)
157321 1
2.3%
141800 1
2.3%
140665 1
2.3%
127271 1
2.3%
124535 1
2.3%
120934 1
2.3%
111731 1
2.3%
111259 1
2.3%
108689 1
2.3%
107537 1
2.3%

저압계
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1279817.2
Minimum347116
Maximum2302283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:58.443537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum347116
5-th percentile439668.3
Q1933579.5
median1307034
Q31607787.5
95-th percentile1984341.5
Maximum2302283
Range1955167
Interquartile range (IQR)674208

Descriptive statistics

Standard deviation466472.08
Coefficient of variation (CV)0.36448337
Kurtosis-0.28643591
Mean1279817.2
Median Absolute Deviation (MAD)332750
Skewness0.0025538192
Sum55032140
Variance2.1759621 × 1011
MonotonicityNot monotonic
2023-12-12T15:25:58.608212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1310571 1
 
2.3%
1253362 1
 
2.3%
1651923 1
 
2.3%
1617609 1
 
2.3%
759929 1
 
2.3%
1730906 1
 
2.3%
1288061 1
 
2.3%
392482 1
 
2.3%
1541705 1
 
2.3%
1512636 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
347116 1
2.3%
392482 1
2.3%
413433 1
2.3%
675786 1
2.3%
759929 1
2.3%
773935 1
2.3%
779788 1
2.3%
780989 1
2.3%
876413 1
2.3%
885972 1
2.3%
ValueCountFrequency (%)
2302283 1
2.3%
2256925 1
2.3%
2002001 1
2.3%
1825406 1
2.3%
1786671 1
2.3%
1770379 1
2.3%
1730906 1
2.3%
1689768 1
2.3%
1651923 1
2.3%
1639784 1
2.3%

최대수요전력계(DM)
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1476945.6
Minimum393607
Maximum2530194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:58.762144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum393607
5-th percentile470160.8
Q11103751.5
median1455520
Q31877147.5
95-th percentile2405553.3
Maximum2530194
Range2136587
Interquartile range (IQR)773396

Descriptive statistics

Standard deviation532488.76
Coefficient of variation (CV)0.36053377
Kurtosis-0.38368702
Mean1476945.6
Median Absolute Deviation (MAD)420812
Skewness-0.15351327
Sum63508660
Variance2.8354427 × 1011
MonotonicityNot monotonic
2023-12-12T15:25:58.919655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1703856 1
 
2.3%
1639165 1
 
2.3%
1873919 1
 
2.3%
1876332 1
 
2.3%
868316 1
 
2.3%
1898669 1
 
2.3%
1433630 1
 
2.3%
415167 1
 
2.3%
1728002 1
 
2.3%
1679139 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
393607 1
2.3%
415167 1
2.3%
427318 1
2.3%
855746 1
2.3%
868316 1
2.3%
875516 1
2.3%
930519 1
2.3%
965716 1
2.3%
969652 1
2.3%
995013 1
2.3%
ValueCountFrequency (%)
2530194 1
2.3%
2502701 1
2.3%
2451239 1
2.3%
1994382 1
2.3%
1974831 1
2.3%
1935692 1
2.3%
1902749 1
2.3%
1898669 1
2.3%
1893568 1
2.3%
1888100 1
2.3%

기타
Categorical

IMBALANCE 

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
0
36 
1
 
3
2
 
2
7
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)4.7%

Sample

1st row0
2nd row2
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 36
83.7%
1 3
 
7.0%
2 2
 
4.7%
7 1
 
2.3%
4 1
 
2.3%

Length

2023-12-12T15:25:59.069859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:25:59.174642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 36
83.7%
1 3
 
7.0%
2 2
 
4.7%
7 1
 
2.3%
4 1
 
2.3%

합계
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.790698
Minimum0
Maximum296
Zeros7
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:59.282675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median8
Q328.5
95-th percentile82
Maximum296
Range296
Interquartile range (IQR)27

Descriptive statistics

Standard deviation48.80357
Coefficient of variation (CV)1.9686243
Kurtosis23.335574
Mean24.790698
Median Absolute Deviation (MAD)8
Skewness4.4369581
Sum1066
Variance2381.7885
MonotonicityNot monotonic
2023-12-12T15:25:59.405303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 7
16.3%
1 4
 
9.3%
11 3
 
7.0%
8 3
 
7.0%
5 3
 
7.0%
15 2
 
4.7%
7 2
 
4.7%
2 2
 
4.7%
31 2
 
4.7%
36 1
 
2.3%
Other values (14) 14
32.6%
ValueCountFrequency (%)
0 7
16.3%
1 4
9.3%
2 2
 
4.7%
3 1
 
2.3%
5 3
7.0%
7 2
 
4.7%
8 3
7.0%
11 3
7.0%
12 1
 
2.3%
15 2
 
4.7%
ValueCountFrequency (%)
296 1
2.3%
110 1
2.3%
84 1
2.3%
64 1
2.3%
63 1
2.3%
48 1
2.3%
40 1
2.3%
36 1
2.3%
32 1
2.3%
31 2
4.7%

총계
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1491887.2
Minimum396514
Maximum2566848
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-12T15:25:59.546607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum396514
5-th percentile473536.3
Q11115092.5
median1475040
Q31898004.5
95-th percentile2438959.3
Maximum2566848
Range2170334
Interquartile range (IQR)782912

Descriptive statistics

Standard deviation539628.14
Coefficient of variation (CV)0.36170841
Kurtosis-0.36501015
Mean1491887.2
Median Absolute Deviation (MAD)422055
Skewness-0.14005953
Sum64151149
Variance2.9119853 × 1011
MonotonicityNot monotonic
2023-12-12T15:25:59.730893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1713246 1
 
2.3%
1652024 1
 
2.3%
1889437 1
 
2.3%
1897095 1
 
2.3%
874385 1
 
2.3%
1923251 1
 
2.3%
1447760 1
 
2.3%
418206 1
 
2.3%
1737583 1
 
2.3%
1692247 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
396514 1
2.3%
418206 1
2.3%
430420 1
2.3%
861583 1
2.3%
874385 1
2.3%
881682 1
2.3%
937204 1
2.3%
972835 1
2.3%
978808 1
2.3%
1004863 1
2.3%
ValueCountFrequency (%)
2566848 1
2.3%
2538798 1
2.3%
2486238 1
2.3%
2013451 1
2.3%
1993554 1
2.3%
1953895 1
2.3%
1927482 1
2.3%
1923251 1
2.3%
1912425 1
2.3%
1909418 1
2.3%

Sample

연도사업소기록형표준형거래용고압기계식고압계기계식OMRRFID소계심야용복합역률용E타입G타입CT일체형일반RFID(2)소계(2)저압계최대수요전력계(DM)기타합계총계
02017서울본부1893601093793487531203532497393285119713893048316785611900469149791416131057117038560111713246
12017남서울본부8612710001279634383152293674338580321202645944202108066111326288217786435125336216391652631652024
22017인천본부106917544801862129251230112693432245712535537480190298505117116148821928261511046721427129021445752
32017경기북부본부49137745013828107442197115051124464578215138639351691461640272908609673397133810958020361109666
42017경기본부7693410712134889408429467036139449238197817468831374037199082260497215743001573212002001245123921102486238
52017강원본부440622730667011815934762789514953025271620950411974131127139813121272398780989930519015937204
62017충북본부65907515091551562491490321251898643695472535033564791240867567266221377978896965201978808
72017대전세종충남본부22817916350181792967331126029733337726446137754211535809275020400415211946141800159796619356927241953895
82017전북본부109867717088031925953564197212158809949896251675694512657418311848553189582111117010151120519
92017광주전남본부31814692180150283174936264670893908462021037674107756972736183369293167912093414584931849339071864374
연도사업소기록형표준형거래용고압기계식고압계기계식OMRRFID소계심야용복합역률용E타입G타입CT일체형일반RFID(2)소계(2)저압계최대수요전력계(DM)기타합계총계
332019경기북부본부1514462401448151482580813260194309855664771213682722305922418173666108211911423130221156816
342019경기본부102364931103660620605967621176227911418415334137777043598335959617951437124535230228325301940482566848
352019대전세종충남본부381900028019066146329471617931168976916341441161207276981273282138242611125918254061994382132013451
362019전북본부429080150913711028998813169124446356136202061510641768341115086834510171221141568081150713
372019광주전남본부1721565813015843166342801366572038007024321910981712309752674272403699205416897681893568071909418
382019대구본부2220919100209511998239383741823817936841001003416274801275242923118570216397841877963001898914
392019경북본부19614340616687948826128071015818413439499976107373122303561334383777393587551600881682
402019부산울산본부672462213024702113671680711892132370310612503110011633608124173055184289634177037919027490311927482
412019경남본부31142871014319106648655280771353802011515079263820432222977214901967821413070341442414081456741
422019제주본부530897031011174053616091388530542319978393941940240512552741343342731801430420