Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells10899
Missing cells (%)12.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory791.0 KiB
Average record size in memory81.0 B

Variable types

Numeric1
Categorical2
DateTime3
Text3

Dataset

Description송변전휴전관리시스템_휴전시스템사업소 결과일자, 결과수신일시, 결과전송일시,종료여부, 저장일시, 기타, 담당자, 설비명입니다.
Author한국전력공사
URLhttps://www.data.go.kr/data/15069035/fileData.do

Alerts

종료여부 is highly imbalanced (54.5%)Imbalance
결과전송일시 has 2424 (24.2%) missing valuesMissing
저장일시 has 204 (2.0%) missing valuesMissing
기타 has 8187 (81.9%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:21:40.763982
Analysis finished2023-12-12 05:21:42.237323
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7093.0358
Minimum1
Maximum14206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T14:21:42.314533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile713.95
Q13572.75
median7102.5
Q310602.5
95-th percentile13508.05
Maximum14206
Range14205
Interquartile range (IQR)7029.75

Descriptive statistics

Standard deviation4095.0019
Coefficient of variation (CV)0.57732712
Kurtosis-1.1900331
Mean7093.0358
Median Absolute Deviation (MAD)3518
Skewness-0.00064563401
Sum70930358
Variance16769041
MonotonicityNot monotonic
2023-12-12T14:21:42.474968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13512 1
 
< 0.1%
11740 1
 
< 0.1%
13110 1
 
< 0.1%
1261 1
 
< 0.1%
3780 1
 
< 0.1%
11474 1
 
< 0.1%
1398 1
 
< 0.1%
14066 1
 
< 0.1%
8350 1
 
< 0.1%
8600 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
ValueCountFrequency (%)
14206 1
< 0.1%
14205 1
< 0.1%
14204 1
< 0.1%
14200 1
< 0.1%
14199 1
< 0.1%
14198 1
< 0.1%
14196 1
< 0.1%
14195 1
< 0.1%
14194 1
< 0.1%
14192 1
< 0.1%

결과일자
Categorical

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2020-10-19
751 
2020-06-20
746 
2020-05-20
 
645
2020-04-20
 
638
2020-03-20
 
632
Other values (28)
6588 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-10-19
2nd row2020-12-18
3rd row2020-06-20
4th row2020-11-19
5th row2020-10-18

Common Values

ValueCountFrequency (%)
2020-10-19 751
 
7.5%
2020-06-20 746
 
7.5%
2020-05-20 645
 
6.5%
2020-04-20 638
 
6.4%
2020-03-20 632
 
6.3%
2020-11-19 601
 
6.0%
2020-09-20 467
 
4.7%
2020-05-18 405
 
4.0%
2020-11-18 405
 
4.0%
2020-05-19 381
 
3.8%
Other values (23) 4329
43.3%

Length

2023-12-12T14:21:42.645669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-10-19 751
 
7.5%
2020-06-20 746
 
7.5%
2020-05-20 645
 
6.5%
2020-04-20 638
 
6.4%
2020-03-20 632
 
6.3%
2020-11-19 601
 
6.0%
2020-09-20 467
 
4.7%
2020-05-18 405
 
4.0%
2020-11-18 405
 
4.0%
2020-05-19 381
 
3.8%
Other values (23) 4329
43.3%

결과수신일시
Date

Distinct6596
Distinct (%)66.5%
Missing84
Missing (%)0.8%
Memory size156.2 KiB
Minimum2018-02-01 09:57:00
Maximum2020-10-06 15:10:00
2023-12-12T14:21:42.893063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:21:43.051270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

결과전송일시
Date

MISSING 

Distinct6045
Distinct (%)79.8%
Missing2424
Missing (%)24.2%
Memory size156.2 KiB
Minimum2018-02-02 16:15:00
Maximum2020-10-06 17:48:00
2023-12-12T14:21:43.235484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:21:43.393180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료여부
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Y
7429 
N
2414 
C
 
155
F
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY
2nd rowN
3rd rowY
4th rowY
5th rowY

Common Values

ValueCountFrequency (%)
Y 7429
74.3%
N 2414
 
24.1%
C 155
 
1.6%
F 2
 
< 0.1%

Length

2023-12-12T14:21:43.558573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:21:43.680574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
y 7429
74.3%
n 2414
 
24.1%
c 155
 
1.6%
f 2
 
< 0.1%

저장일시
Date

MISSING 

Distinct8368
Distinct (%)85.4%
Missing204
Missing (%)2.0%
Memory size156.2 KiB
Minimum2018-02-01 10:32:00
Maximum2020-10-06 17:56:00
2023-12-12T14:21:43.832785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:21:44.010488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

기타
Text

MISSING 

Distinct161
Distinct (%)8.9%
Missing8187
Missing (%)81.9%
Memory size156.2 KiB
2023-12-12T14:21:44.353403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length48
Mean length4.444567
Min length1

Characters and Unicode

Total characters8058
Distinct characters238
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)6.0%

Sample

1st row이상없음.
2nd row없음
3rd row이상없음
4th row이상없음
5th row없음
ValueCountFrequency (%)
이상없음 824
35.4%
없음 746
32.0%
이상 98
 
4.2%
31
 
1.3%
특이사항 20
 
0.9%
가압 16
 
0.7%
무부하 15
 
0.6%
휴전취소 14
 
0.6%
휴전 14
 
0.6%
보통점검 14
 
0.6%
Other values (281) 538
23.1%
2023-12-12T14:21:44.920972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
없 1584
19.7%
음 1577
19.6%
이 960
11.9%
상 932
11.6%
523
 
6.5%
. 166
 
2.1%
전 80
 
1.0%
1 77
 
1.0%
# 72
 
0.9%
4 64
 
0.8%
Other values (228) 2023
25.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6522
80.9%
Space Separator 523
 
6.5%
Other Punctuation 350
 
4.3%
Decimal Number 305
 
3.8%
Uppercase Letter 277
 
3.4%
Dash Punctuation 41
 
0.5%
Lowercase Letter 37
 
0.5%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
없 1584
24.3%
음 1577
24.2%
이 960
14.7%
상 932
14.3%
전 80
 
1.2%
가 54
 
0.8%
휴 50
 
0.8%
사 44
 
0.7%
압 40
 
0.6%
로 37
 
0.6%
Other values (183) 1164
17.8%
Uppercase Letter
ValueCountFrequency (%)
S 63
22.7%
B 33
11.9%
T 30
10.8%
U 22
 
7.9%
I 19
 
6.9%
V 19
 
6.9%
L 17
 
6.1%
G 17
 
6.1%
D 12
 
4.3%
P 11
 
4.0%
Other values (8) 34
12.3%
Decimal Number
ValueCountFrequency (%)
1 77
25.2%
4 64
21.0%
2 52
17.0%
0 25
 
8.2%
5 20
 
6.6%
3 19
 
6.2%
6 19
 
6.2%
9 12
 
3.9%
7 11
 
3.6%
8 6
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 166
47.4%
# 72
20.6%
/ 38
 
10.9%
& 30
 
8.6%
; 30
 
8.6%
, 11
 
3.1%
: 3
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
k 17
45.9%
r 12
32.4%
h 3
 
8.1%
a 2
 
5.4%
p 1
 
2.7%
o 1
 
2.7%
d 1
 
2.7%
Space Separator
ValueCountFrequency (%)
523
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6522
80.9%
Common 1222
 
15.2%
Latin 314
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
없 1584
24.3%
음 1577
24.2%
이 960
14.7%
상 932
14.3%
전 80
 
1.2%
가 54
 
0.8%
휴 50
 
0.8%
사 44
 
0.7%
압 40
 
0.6%
로 37
 
0.6%
Other values (183) 1164
17.8%
Latin
ValueCountFrequency (%)
S 63
20.1%
B 33
10.5%
T 30
9.6%
U 22
 
7.0%
I 19
 
6.1%
V 19
 
6.1%
L 17
 
5.4%
G 17
 
5.4%
k 17
 
5.4%
D 12
 
3.8%
Other values (15) 65
20.7%
Common
ValueCountFrequency (%)
523
42.8%
. 166
 
13.6%
1 77
 
6.3%
# 72
 
5.9%
4 64
 
5.2%
2 52
 
4.3%
- 41
 
3.4%
/ 38
 
3.1%
& 30
 
2.5%
; 30
 
2.5%
Other values (10) 129
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6514
80.8%
ASCII 1536
 
19.1%
Compat Jamo 8
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
없 1584
24.3%
음 1577
24.2%
이 960
14.7%
상 932
14.3%
전 80
 
1.2%
가 54
 
0.8%
휴 50
 
0.8%
사 44
 
0.7%
압 40
 
0.6%
로 37
 
0.6%
Other values (182) 1156
17.7%
ASCII
ValueCountFrequency (%)
523
34.0%
. 166
 
10.8%
1 77
 
5.0%
# 72
 
4.7%
4 64
 
4.2%
S 63
 
4.1%
2 52
 
3.4%
- 41
 
2.7%
/ 38
 
2.5%
B 33
 
2.1%
Other values (35) 407
26.5%
Compat Jamo
ValueCountFrequency (%)
ㅇ 8
100.0%

담당자
Text

Distinct212
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:21:45.391347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9974
Min length2

Characters and Unicode

Total characters29974
Distinct characters129
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

Unique23 ?
Unique (%)0.2%

Sample

1st row반승길
2nd row백종욱
3rd row최규항
4th row반승길
5th row이윤선
ValueCountFrequency (%)
정동진 312
 
3.1%
임우석 302
 
3.0%
김형윤 265
 
2.6%
신지호 260
 
2.6%
이성근 259
 
2.6%
박재우 250
 
2.5%
이윤선 238
 
2.4%
이창용 219
 
2.2%
안태욱 214
 
2.1%
이정혁 201
 
2.0%
Other values (202) 7480
74.8%
2023-12-12T14:21:45.983000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1835
 
6.1%
김 1749
 
5.8%
정 1359
 
4.5%
박 882
 
2.9%
윤 841
 
2.8%
호 759
 
2.5%
성 653
 
2.2%
우 636
 
2.1%
승 623
 
2.1%
영 605
 
2.0%
Other values (119) 20032
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29974
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1835
 
6.1%
김 1749
 
5.8%
정 1359
 
4.5%
박 882
 
2.9%
윤 841
 
2.8%
호 759
 
2.5%
성 653
 
2.2%
우 636
 
2.1%
승 623
 
2.1%
영 605
 
2.0%
Other values (119) 20032
66.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29974
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1835
 
6.1%
김 1749
 
5.8%
정 1359
 
4.5%
박 882
 
2.9%
윤 841
 
2.8%
호 759
 
2.5%
성 653
 
2.2%
우 636
 
2.1%
승 623
 
2.1%
영 605
 
2.0%
Other values (119) 20032
66.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29974
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1835
 
6.1%
김 1749
 
5.8%
정 1359
 
4.5%
박 882
 
2.9%
윤 841
 
2.8%
호 759
 
2.5%
성 653
 
2.2%
우 636
 
2.1%
승 623
 
2.1%
영 605
 
2.0%
Other values (119) 20032
66.8%

설비명
Text

Distinct5730
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T14:21:46.393255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length10.0514
Min length2

Characters and Unicode

Total characters100514
Distinct characters440
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4966 ?
Unique (%)49.7%

Sample

1st row대산
2nd row23kV #41 BUS
3rd row23kV #41 BUS
4th row일단
5th row명신
ValueCountFrequency (%)
cb 4665
 
18.0%
23kv 1722
 
6.7%
bus 1284
 
5.0%
d/l 1141
 
4.4%
2 850
 
3.3%
1 828
 
3.2%
m.tr 687
 
2.7%
sec 628
 
2.4%
154kv 578
 
2.2%
sc 577
 
2.2%
Other values (3585) 12890
49.9%
2023-12-12T14:21:46.985239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15904
 
15.8%
B 6858
 
6.8%
C 6733
 
6.7%
# 5616
 
5.6%
S 5195
 
5.2%
2 4603
 
4.6%
/ 3880
 
3.9%
1 3695
 
3.7%
4 3536
 
3.5%
T 3169
 
3.2%
Other values (430) 41325
41.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 36151
36.0%
Decimal Number 18513
18.4%
Space Separator 15904
15.8%
Other Letter 12419
 
12.4%
Other Punctuation 11482
 
11.4%
Lowercase Letter 4216
 
4.2%
Dash Punctuation 1351
 
1.3%
Close Punctuation 239
 
0.2%
Open Punctuation 239
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 865
 
7.0%
상 400
 
3.2%
동 367
 
3.0%
신 270
 
2.2%
천 264
 
2.1%
원 247
 
2.0%
성 236
 
1.9%
산 229
 
1.8%
수 206
 
1.7%
남 199
 
1.6%
Other values (367) 9136
73.6%
Uppercase Letter
ValueCountFrequency (%)
B 6858
19.0%
C 6733
18.6%
S 5195
14.4%
T 3169
8.8%
L 3093
8.6%
V 2428
 
6.7%
D 2334
 
6.5%
M 1800
 
5.0%
U 1534
 
4.2%
E 938
 
2.6%
Other values (14) 2069
 
5.7%
Decimal Number
ValueCountFrequency (%)
2 4603
24.9%
1 3695
20.0%
4 3536
19.1%
3 2781
15.0%
5 1105
 
6.0%
0 862
 
4.7%
6 834
 
4.5%
7 820
 
4.4%
8 168
 
0.9%
9 80
 
0.4%
Other values (5) 29
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
k 2339
55.5%
r 1166
27.7%
s 209
 
5.0%
u 209
 
5.0%
e 104
 
2.5%
h 63
 
1.5%
c 62
 
1.5%
i 45
 
1.1%
a 7
 
0.2%
n 7
 
0.2%
Other values (5) 5
 
0.1%
Other Punctuation
ValueCountFrequency (%)
# 5616
48.9%
/ 3880
33.8%
. 1902
 
16.6%
, 59
 
0.5%
＃ 25
 
0.2%
Space Separator
ValueCountFrequency (%)
15904
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1351
100.0%
Close Punctuation
ValueCountFrequency (%)
) 239
100.0%
Open Punctuation
ValueCountFrequency (%)
( 239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47728
47.5%
Latin 40367
40.2%
Hangul 12419
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 865
 
7.0%
상 400
 
3.2%
동 367
 
3.0%
신 270
 
2.2%
천 264
 
2.1%
원 247
 
2.0%
성 236
 
1.9%
산 229
 
1.8%
수 206
 
1.7%
남 199
 
1.6%
Other values (367) 9136
73.6%
Latin
ValueCountFrequency (%)
B 6858
17.0%
C 6733
16.7%
S 5195
12.9%
T 3169
7.9%
L 3093
7.7%
V 2428
 
6.0%
k 2339
 
5.8%
D 2334
 
5.8%
M 1800
 
4.5%
U 1534
 
3.8%
Other values (29) 4884
12.1%
Common
ValueCountFrequency (%)
15904
33.3%
# 5616
 
11.8%
2 4603
 
9.6%
/ 3880
 
8.1%
1 3695
 
7.7%
4 3536
 
7.4%
3 2781
 
5.8%
. 1902
 
4.0%
- 1351
 
2.8%
5 1105
 
2.3%
Other values (14) 3355
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88041
87.6%
Hangul 12419
 
12.4%
None 54
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15904
18.1%
B 6858
 
7.8%
C 6733
 
7.6%
# 5616
 
6.4%
S 5195
 
5.9%
2 4603
 
5.2%
/ 3880
 
4.4%
1 3695
 
4.2%
4 3536
 
4.0%
T 3169
 
3.6%
Other values (47) 28852
32.8%
Hangul
ValueCountFrequency (%)
차 865
 
7.0%
상 400
 
3.2%
동 367
 
3.0%
신 270
 
2.2%
천 264
 
2.1%
원 247
 
2.0%
성 236
 
1.9%
산 229
 
1.8%
수 206
 
1.7%
남 199
 
1.6%
Other values (367) 9136
73.6%
None
ValueCountFrequency (%)
＃ 25
46.3%
２ 13
24.1%
１ 12
22.2%
５ 2
 
3.7%
４ 1
 
1.9%
６ 1
 
1.9%

Interactions

2023-12-12T14:21:41.453579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:21:47.107679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번결과일자종료여부
순번1.0000.8330.129
결과일자0.8331.0000.092
종료여부0.1290.0921.000
2023-12-12T14:21:47.231914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종료여부결과일자
종료여부1.0000.048
결과일자0.0481.000
2023-12-12T14:21:47.324817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번결과일자종료여부
순번1.0000.4780.077
결과일자0.4781.0000.048
종료여부0.0770.0481.000

Missing values

2023-12-12T14:21:41.867942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:21:42.038390image/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.
2023-12-12T14:21:42.166565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번결과일자결과수신일시결과전송일시종료여부저장일시기타담당자설비명
13511135122020-10-192019-10-16 15:092019-10-16 16:49Y2019-10-16 16:55<NA>반승길대산
719271932020-12-182018-12-21 9:48<NA>N2018-12-21 9:49<NA>백종욱23kV #41 BUS
994599462020-06-202020-06-11 10:422020-06-11 15:05Y2020-06-11 15:43<NA>최규항23kV #41 BUS
12237122382020-11-192019-11-27 9:452020-02-05 16:38Y2020-02-05 16:44<NA>반승길일단
552055212020-10-182018-10-11 9:112018-10-12 16:08Y2018-10-12 16:19<NA>이윤선명신
165016512020-05-182018-06-12 11:202018-06-12 13:46Y2018-06-12 14:48이상없음.최원혁이천 #2 T/L CB
10615106162020-06-202020-07-02 9:08<NA>N2020-07-02 9:12<NA>황규하BUS TIE CB(4200)
297629772020-09-202020-09-08 10:332020-09-09 15:02Y2020-09-09 15:03<NA>배광욱7500 CB
814781482020-03-182018-03-24 9:572018-03-24 14:33Y2018-03-24 14:35<NA>이성근23kV #1 SC
716771682020-07-192019-07-03 14:29<NA>N2019-07-03 14:35<NA>이정혁비전 D/L CB
순번결과일자결과수신일시결과전송일시종료여부저장일시기타담당자설비명
151315142020-12-182018-12-10 8:022018-12-10 16:38N2018-12-10 16:50이상없음강태선23kV #47BUS
298629872020-07-202020-07-28 15:572020-07-29 13:46Y2020-07-30 15:18<NA>서수범서천안 #2 T/L CB
10103101042020-05-202020-05-20 15:122020-05-22 14:01Y2020-05-22 14:26<NA>이제홍산업
482348242020-10-192019-10-30 10:032019-10-30 11:28Y2019-10-30 11:32<NA>김덕용#3 M.Tr 2차 CB
11904119052020-03-202020-03-30 11:002020-03-30 11:42Y2020-03-30 14:54<NA>변기섭수산D/L
450345042020-12-192019-12-06 10:452019-12-06 16:00Y2019-12-06 16:09<NA>이진오#1 M.Tr 2차 CB
500550062020-09-192019-09-25 11:41<NA>Y<NA><NA>유영상염곡S/S 23kV #40 BUS
353135322020-03-202020-03-18 10:412020-03-18 11:32Y2020-03-18 11:36<NA>김형윤23kV BUS TIE 4100 CB
10174101752020-09-202020-09-25 10:27<NA>N2020-09-25 10:29<NA>신지호북평S/S 23kV 망상D/L
389238932020-03-202020-03-16 10:10<NA>N<NA><NA>김형윤154kV #2 BUS