Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows12
Duplicate rows (%)0.1%
Total size in memory869.1 KiB
Average record size in memory89.0 B

Variable types

Categorical7
Text3

Dataset

Description고압고객 부하관리에 관한 내용(본부명 사업소명 변전소명 회선명 회선구분 공용유무 종류 기준부하 부하점유율 전압(kV) 가공지중구분)
URLhttps://www.data.go.kr/data/3068712/fileData.do

Alerts

Dataset has 12 (0.1%) duplicate rowsDuplicates
기준부하 is highly overall correlated with 전압(kV)High correlation
전압(kV) is highly overall correlated with 기준부하High correlation
회선구분 is highly imbalanced (64.5%)Imbalance
기준부하 is highly imbalanced (74.1%)Imbalance
전압(kV) is highly imbalanced (96.2%)Imbalance

Reproduction

Analysis started2023-12-12 00:17:18.976707
Analysis finished2023-12-12 00:17:20.567562
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

본부명
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기본부
1549 
부산울산본부
919 
대전세종충남본부
859 
대구본부
833 
남서울본부
814 
Other values (10)
5026 

Length

Max length8
Median length4
Mean length4.8828
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기북부본부
2nd row부산울산본부
3rd row서울본부
4th row전북본부
5th row인천본부

Common Values

ValueCountFrequency (%)
경기본부 1549
15.5%
부산울산본부 919
9.2%
대전세종충남본부 859
8.6%
대구본부 833
8.3%
남서울본부 814
8.1%
인천본부 803
8.0%
광주전남본부 751
7.5%
서울본부 621
 
6.2%
경기북부본부 619
 
6.2%
경남본부 532
 
5.3%
Other values (5) 1700
17.0%

Length

2023-12-12T09:17:20.658200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기본부 1549
15.5%
부산울산본부 919
9.2%
대전세종충남본부 859
8.6%
대구본부 833
8.3%
남서울본부 814
8.1%
인천본부 803
8.0%
광주전남본부 751
7.5%
서울본부 621
 
6.2%
경기북부본부 619
 
6.2%
경남본부 532
 
5.3%
Other values (5) 1700
17.0%

사업소명
Text

Distinct196
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:17:20.954474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.7401
Min length4

Characters and Unicode

Total characters47401
Distinct characters127
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양평지사
2nd row울산지사
3rd row마포용산지사
4th row고창지사
5th row인천본부직할
ValueCountFrequency (%)
안산지사 245
 
2.5%
남인천지사 195
 
1.9%
서울본부직할 162
 
1.6%
울산지사 154
 
1.5%
강동송파지사 150
 
1.5%
강남지사 150
 
1.5%
경남본부직할 140
 
1.4%
성남지사 139
 
1.4%
남대구지사 138
 
1.4%
고양지사 138
 
1.4%
Other values (186) 8389
83.9%
2023-12-12T09:17:21.351736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 8744
18.4%
지 8710
18.4%
부 1853
 
3.9%
산 1758
 
3.7%
서 1474
 
3.1%
천 1410
 
3.0%
직 1290
 
2.7%
할 1290
 
2.7%
본 1290
 
2.7%
남 1286
 
2.7%
Other values (117) 18296
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47401
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 8744
18.4%
지 8710
18.4%
부 1853
 
3.9%
산 1758
 
3.7%
서 1474
 
3.1%
천 1410
 
3.0%
직 1290
 
2.7%
할 1290
 
2.7%
본 1290
 
2.7%
남 1286
 
2.7%
Other values (117) 18296
38.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47401
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 8744
18.4%
지 8710
18.4%
부 1853
 
3.9%
산 1758
 
3.7%
서 1474
 
3.1%
천 1410
 
3.0%
직 1290
 
2.7%
할 1290
 
2.7%
본 1290
 
2.7%
남 1286
 
2.7%
Other values (117) 18296
38.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47401
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 8744
18.4%
지 8710
18.4%
부 1853
 
3.9%
산 1758
 
3.7%
서 1474
 
3.1%
천 1410
 
3.0%
직 1290
 
2.7%
할 1290
 
2.7%
본 1290
 
2.7%
남 1286
 
2.7%
Other values (117) 18296
38.6%

변전소명
Text

Distinct834
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:17:21.728989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length2.3459
Min length2

Characters and Unicode

Total characters23459
Distinct characters262
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)0.3%

Sample

1st row용문
2nd row옥동
3rd row용산
4th row고창
5th row부흥
ValueCountFrequency (%)
북시화sa 32
 
0.3%
북송도 31
 
0.3%
여의 30
 
0.3%
팽성 28
 
0.3%
포천 28
 
0.3%
상일 27
 
0.3%
강동 27
 
0.3%
김천 26
 
0.3%
중동 25
 
0.2%
만수 24
 
0.2%
Other values (824) 9722
97.2%
2023-12-12T09:17:22.241595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 900
 
3.8%
A 876
 
3.7%
산 697
 
3.0%
동 677
 
2.9%
천 659
 
2.8%
주 576
 
2.5%
신 504
 
2.1%
서 497
 
2.1%
남 497
 
2.1%
양 470
 
2.0%
Other values (252) 17106
72.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21627
92.2%
Uppercase Letter 1776
 
7.6%
Open Punctuation 22
 
0.1%
Close Punctuation 22
 
0.1%
Other Punctuation 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 697
 
3.2%
동 677
 
3.1%
천 659
 
3.0%
주 576
 
2.7%
신 504
 
2.3%
서 497
 
2.3%
남 497
 
2.3%
양 470
 
2.2%
성 438
 
2.0%
안 385
 
1.8%
Other values (247) 16227
75.0%
Uppercase Letter
ValueCountFrequency (%)
S 900
50.7%
A 876
49.3%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21627
92.2%
Latin 1776
 
7.6%
Common 56
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 697
 
3.2%
동 677
 
3.1%
천 659
 
3.0%
주 576
 
2.7%
신 504
 
2.3%
서 497
 
2.3%
남 497
 
2.3%
양 470
 
2.2%
성 438
 
2.0%
안 385
 
1.8%
Other values (247) 16227
75.0%
Common
ValueCountFrequency (%)
( 22
39.3%
) 22
39.3%
/ 12
21.4%
Latin
ValueCountFrequency (%)
S 900
50.7%
A 876
49.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21627
92.2%
ASCII 1832
 
7.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 900
49.1%
A 876
47.8%
( 22
 
1.2%
) 22
 
1.2%
/ 12
 
0.7%
Hangul
ValueCountFrequency (%)
산 697
 
3.2%
동 677
 
3.1%
천 659
 
3.0%
주 576
 
2.7%
신 504
 
2.3%
서 497
 
2.3%
남 497
 
2.3%
양 470
 
2.2%
성 438
 
2.0%
안 385
 
1.8%
Other values (247) 16227
75.0%

회선명
Text

Distinct6556
Distinct (%)65.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T09:17:22.634559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length2
Mean length2.1735
Min length1

Characters and Unicode

Total characters21735
Distinct characters545
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4809 ?
Unique (%)48.1%

Sample

1st row옥천
2nd row옥현
3rd row용서
4th row무장
5th row세림
ValueCountFrequency (%)
시내 24
 
0.2%
공단 24
 
0.2%
금강 18
 
0.2%
현대 16
 
0.2%
중앙 16
 
0.2%
산단 14
 
0.1%
동부 13
 
0.1%
한전 12
 
0.1%
롯데 12
 
0.1%
대우 12
 
0.1%
Other values (6532) 9847
98.4%
2023-12-12T09:17:23.438816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 541
 
2.5%
신 494
 
2.3%
산 483
 
2.2%
대 458
 
2.1%
# 407
 
1.9%
성 385
 
1.8%
수 301
 
1.4%
서 297
 
1.4%
원 282
 
1.3%
남 280
 
1.3%
Other values (535) 17807
81.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20497
94.3%
Decimal Number 675
 
3.1%
Other Punctuation 411
 
1.9%
Uppercase Letter 100
 
0.5%
Close Punctuation 20
 
0.1%
Open Punctuation 20
 
0.1%
Space Separator 10
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 541
 
2.6%
신 494
 
2.4%
산 483
 
2.4%
대 458
 
2.2%
성 385
 
1.9%
수 301
 
1.5%
서 297
 
1.4%
원 282
 
1.4%
남 280
 
1.4%
천 274
 
1.3%
Other values (501) 16702
81.5%
Uppercase Letter
ValueCountFrequency (%)
S 19
19.0%
K 10
10.0%
P 10
10.0%
C 9
9.0%
A 8
8.0%
B 7
 
7.0%
M 7
 
7.0%
G 5
 
5.0%
F 4
 
4.0%
O 4
 
4.0%
Other values (8) 17
17.0%
Decimal Number
ValueCountFrequency (%)
1 278
41.2%
2 272
40.3%
3 49
 
7.3%
4 32
 
4.7%
5 10
 
1.5%
6 9
 
1.3%
8 8
 
1.2%
7 8
 
1.2%
9 5
 
0.7%
0 4
 
0.6%
Other Punctuation
ValueCountFrequency (%)
# 407
99.0%
, 4
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20497
94.3%
Common 1138
 
5.2%
Latin 100
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 541
 
2.6%
신 494
 
2.4%
산 483
 
2.4%
대 458
 
2.2%
성 385
 
1.9%
수 301
 
1.5%
서 297
 
1.4%
원 282
 
1.4%
남 280
 
1.4%
천 274
 
1.3%
Other values (501) 16702
81.5%
Latin
ValueCountFrequency (%)
S 19
19.0%
K 10
10.0%
P 10
10.0%
C 9
9.0%
A 8
8.0%
B 7
 
7.0%
M 7
 
7.0%
G 5
 
5.0%
F 4
 
4.0%
O 4
 
4.0%
Other values (8) 17
17.0%
Common
ValueCountFrequency (%)
# 407
35.8%
1 278
24.4%
2 272
23.9%
3 49
 
4.3%
4 32
 
2.8%
) 20
 
1.8%
( 20
 
1.8%
5 10
 
0.9%
10
 
0.9%
6 9
 
0.8%
Other values (6) 31
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20497
94.3%
ASCII 1238
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 541
 
2.6%
신 494
 
2.4%
산 483
 
2.4%
대 458
 
2.2%
성 385
 
1.9%
수 301
 
1.5%
서 297
 
1.4%
원 282
 
1.4%
남 280
 
1.4%
천 274
 
1.3%
Other values (501) 16702
81.5%
ASCII
ValueCountFrequency (%)
# 407
32.9%
1 278
22.5%
2 272
22.0%
3 49
 
4.0%
4 32
 
2.6%
) 20
 
1.6%
( 20
 
1.6%
S 19
 
1.5%
K 10
 
0.8%
5 10
 
0.8%
Other values (24) 121
 
9.8%

회선구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반선로
8649 
전용선로
 
815
고객소유선로
 
526
미수집
 
10

Length

Max length6
Median length4
Mean length4.1042
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반선로 8649
86.5%
전용선로 815
 
8.2%
고객소유선로 526
 
5.3%
미수집 10
 
0.1%

Length

2023-12-12T09:17:23.623601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:17:23.717659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반선로 8649
86.5%
전용선로 815
 
8.2%
고객소유선로 526
 
5.3%
미수집 10
 
0.1%

공용유무
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
사업소전용
8817 
타사업소공용
1183 

Length

Max length6
Median length5
Mean length5.1183
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업소전용 8817
88.2%
타사업소공용 1183
 
11.8%

Length

2023-12-12T09:17:23.823144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:17:23.911750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업소전용 8817
88.2%
타사업소공용 1183
 
11.8%

종류
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가스차단기
5137 
진공차단기
4300 
공기차단기
 
209
유입차단기
 
207
자기차단기
 
133

Length

Max length5
Median length5
Mean length4.9958
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가스차단기
2nd row자기차단기
3rd row진공차단기
4th row진공차단기
5th row가스차단기

Common Values

ValueCountFrequency (%)
가스차단기 5137
51.4%
진공차단기 4300
43.0%
공기차단기 209
 
2.1%
유입차단기 207
 
2.1%
자기차단기 133
 
1.3%
공란 14
 
0.1%

Length

2023-12-12T09:17:24.031452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:17:24.169820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가스차단기 5137
51.4%
진공차단기 4300
43.0%
공기차단기 209
 
2.1%
유입차단기 207
 
2.1%
자기차단기 133
 
1.3%
공란 14
 
0.1%

기준부하
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
10000
8973 
15000
954 
3000
 
69
5000
 
4

Length

Max length5
Median length5
Mean length4.9927
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10000
2nd row10000
3rd row10000
4th row15000
5th row10000

Common Values

ValueCountFrequency (%)
10000 8973
89.7%
15000 954
 
9.5%
3000 69
 
0.7%
5000 4
 
< 0.1%

Length

2023-12-12T09:17:24.337111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:17:24.445385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10000 8973
89.7%
15000 954
 
9.5%
3000 69
 
0.7%
5000 4
 
< 0.1%

전압(kV)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
22.9kV
9901 
6.6kV
 
85
22.0kV
 
6
11.4kV
 
6
3.3(5.7)kV
 
2

Length

Max length10
Median length6
Mean length5.9923
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row22.9kV
2nd row22.9kV
3rd row22.9kV
4th row22.9kV
5th row22.9kV

Common Values

ValueCountFrequency (%)
22.9kV 9901
99.0%
6.6kV 85
 
0.9%
22.0kV 6
 
0.1%
11.4kV 6
 
0.1%
3.3(5.7)kV 2
 
< 0.1%

Length

2023-12-12T09:17:24.577628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:17:24.701487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
22.9kv 9901
99.0%
6.6kv 85
 
0.9%
22.0kv 6
 
0.1%
11.4kv 6
 
0.1%
3.3(5.7)kv 2
 
< 0.1%

가공지중구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가공
6919 
지중
3081 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가공
2nd row가공
3rd row지중
4th row가공
5th row가공

Common Values

ValueCountFrequency (%)
가공 6919
69.2%
지중 3081
30.8%

Length

2023-12-12T09:17:24.806520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:17:24.902894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가공 6919
69.2%
지중 3081
30.8%

Correlations

2023-12-12T09:17:24.974122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본부명회선구분공용유무종류기준부하전압(kV)가공지중구분
본부명1.0000.1730.1060.5290.2160.1850.268
회선구분0.1731.0000.1440.1220.6450.0730.450
공용유무0.1060.1441.0000.0660.0400.0420.057
종류0.5290.1220.0661.0000.1160.0900.077
기준부하0.2160.6450.0400.1161.0000.7520.314
전압(kV)0.1850.0730.0420.0900.7521.0000.053
가공지중구분0.2680.4500.0570.0770.3140.0531.000
2023-12-12T09:17:25.100904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전압(kV)기준부하회선구분본부명공용유무가공지중구분종류
전압(kV)1.0000.6980.0590.0800.0510.0650.061
기준부하0.6981.0000.3010.1240.0260.2090.075
회선구분0.0590.3011.0000.0990.0960.3030.079
본부명0.0800.1240.0991.0000.0970.2440.279
공용유무0.0510.0260.0960.0971.0000.0360.048
가공지중구분0.0650.2090.3030.2440.0361.0000.056
종류0.0610.0750.0790.2790.0480.0561.000
2023-12-12T09:17:25.230284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본부명회선구분공용유무종류기준부하전압(kV)가공지중구분
본부명1.0000.0990.0970.2790.1240.0800.244
회선구분0.0991.0000.0960.0790.3010.0590.303
공용유무0.0970.0961.0000.0480.0260.0510.036
종류0.2790.0790.0481.0000.0750.0610.056
기준부하0.1240.3010.0260.0751.0000.6980.209
전압(kV)0.0800.0590.0510.0610.6981.0000.065
가공지중구분0.2440.3030.0360.0560.2090.0651.000

Missing values

2023-12-12T09:17:20.303395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:17:20.484876image/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

본부명사업소명변전소명회선명회선구분공용유무종류기준부하전압(kV)가공지중구분
9798경기북부본부양평지사용문옥천일반선로사업소전용가스차단기1000022.9kV가공
3474부산울산본부울산지사옥동옥현일반선로사업소전용자기차단기1000022.9kV가공
15서울본부마포용산지사용산용서일반선로사업소전용진공차단기1000022.9kV지중
4031전북본부고창지사고창무장일반선로사업소전용진공차단기1500022.9kV가공
11208인천본부인천본부직할부흥세림일반선로사업소전용가스차단기1000022.9kV가공
13325경북본부상주지사청리승곡일반선로사업소전용가스차단기1000022.9kV지중
8382부산울산본부김해지사진례신진례일반선로사업소전용진공차단기1000022.9kV가공
12672광주전남본부순천지사율촌제일일반선로타사업소공용가스차단기1000022.9kV지중
3695남서울본부강서양천지사가양공마일반선로사업소전용진공차단기1000022.9kV가공
6625남서울본부강남지사논일일천일반선로사업소전용진공차단기1000022.9kV지중
본부명사업소명변전소명회선명회선구분공용유무종류기준부하전압(kV)가공지중구분
1654경기본부안양지사동안양대한일반선로사업소전용진공차단기1000022.9kV가공
11581경기본부서평택지사청북양교일반선로타사업소공용가스차단기1000022.9kV가공
13835경남본부산청지사산청매촌일반선로사업소전용가스차단기1000022.9kV가공
1364경남본부합천지사합천삼가일반선로사업소전용공기차단기1000022.9kV가공
7147충북본부진천지사덕산산수일반선로사업소전용가스차단기1000022.9kV가공
335서울본부동대문중랑지사종암종암일반선로타사업소공용진공차단기1000022.9kV가공
13718경남본부경남본부직할차룡남칠일반선로사업소전용가스차단기1000022.9kV가공
10068서울본부마포용산지사아현아동일반선로사업소전용진공차단기1000022.9kV지중
7506부산울산본부울산지사당월한불일반선로사업소전용가스차단기1000022.9kV지중
8894대전세종충남본부대전세종충남본부직할유천SA서대일반선로사업소전용가스차단기1000022.9kV가공

Duplicate rows

Most frequently occurring

본부명사업소명변전소명회선명회선구분공용유무종류기준부하전압(kV)가공지중구분# duplicates
6대구본부경주지사경주SP일반선로사업소전용진공차단기1000022.9kV가공3
0강원본부홍천지사서홍천산음일반선로타사업소공용진공차단기1000022.9kV가공2
1강원본부홍천지사서홍천소리일반선로타사업소공용진공차단기1000022.9kV가공2
2강원본부홍천지사서홍천홍설일반선로타사업소공용진공차단기1000022.9kV가공2
3강원본부홍천지사홍천대곡일반선로타사업소공용진공차단기1000022.9kV가공2
4광주전남본부담양지사담양복흥일반선로타사업소공용가스차단기1000022.9kV가공2
5광주전남본부진도지사구자도구자일반선로사업소전용진공차단기30006.6kV가공2
7대전세종충남본부세종지사부강금호일반선로사업소전용가스차단기1000022.9kV가공2
8대전세종충남본부세종지사부강부강일반선로사업소전용가스차단기1000022.9kV가공2
9대전세종충남본부세종지사부강부공일반선로사업소전용가스차단기1000022.9kV가공2