Overview

Dataset statistics

Number of variables5
Number of observations3787
Missing cells17
Missing cells (%)0.1%
Duplicate rows158
Duplicate rows (%)4.2%
Total size in memory148.1 KiB
Average record size in memory40.0 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description한국수력원자력주식회사에서 사용하는 별도공사 화학물질 정보 데이터로 발전소별 별도공사, 공사시작일, 공사업체, 정비용 화학물질명을 포함합니다.
Author한국수력원자력(주)
URLhttps://www.data.go.kr/data/15070254/fileData.do

Alerts

Dataset has 158 (4.2%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-06 09:07:29.229739
Analysis finished2024-04-06 09:07:30.580289
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발전소명
Categorical

Distinct14
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size29.7 KiB
한울2발
1378 
한빛2발
842 
한울1발
681 
한울3발
452 
고리1발
139 
Other values (9)
295 

Length

Max length5
Median length4
Mean length4.0021125
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한울2발
2nd row한울2발
3rd row한울2발
4th row한울2발
5th row한울2발

Common Values

ValueCountFrequency (%)
한울2발 1378
36.4%
한빛2발 842
22.2%
한울1발 681
18.0%
한울3발 452
 
11.9%
고리1발 139
 
3.7%
월성3발 136
 
3.6%
새울1발 45
 
1.2%
월성2발 26
 
0.7%
고리3발 25
 
0.7%
고리2발 23
 
0.6%
Other values (4) 40
 
1.1%

Length

2024-04-06T18:07:30.702526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한울2발 1378
36.4%
한빛2발 842
22.2%
한울1발 681
18.0%
한울3발 452
 
11.9%
고리1발 139
 
3.7%
월성3발 136
 
3.6%
새울1발 45
 
1.2%
월성2발 26
 
0.7%
고리3발 25
 
0.7%
고리2발 23
 
0.6%
Other values (4) 40
 
1.1%

공사명
Text

Distinct906
Distinct (%)23.9%
Missing1
Missing (%)< 0.1%
Memory size29.7 KiB
2024-04-06T18:07:31.217274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length18.034073
Min length3

Characters and Unicode

Total characters68277
Distinct characters395
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)8.8%

Sample

1st rowU3 RCP내장품 완전분해 점검
2nd rowU3 RCP내장품 완전분해 점검
3rd rowU3-12OH
4th rowU3-12OH
5th rowU3-12차 OH
ValueCountFrequency (%)
rcp 619
 
4.2%
분해점검 536
 
3.7%
용역 333
 
2.3%
oh 310
 
2.1%
전동기 306
 
2.1%
및 287
 
2.0%
가동중검사 211
 
1.4%
정비 198
 
1.4%
한울3,4호기 178
 
1.2%
u3-12차 173
 
1.2%
Other values (1059) 11447
78.4%
2024-04-06T18:07:31.975711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10832
 
15.9%
기 3228
 
4.7%
호 1837
 
2.7%
사 1793
 
2.6%
한 1503
 
2.2%
검 1487
 
2.2%
3 1450
 
2.1%
비 1197
 
1.8%
용 1189
 
1.7%
1 1165
 
1.7%
Other values (385) 42596
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41969
61.5%
Space Separator 10832
 
15.9%
Uppercase Letter 7092
 
10.4%
Decimal Number 5717
 
8.4%
Other Punctuation 1030
 
1.5%
Dash Punctuation 498
 
0.7%
Open Punctuation 381
 
0.6%
Close Punctuation 381
 
0.6%
Lowercase Letter 374
 
0.5%
Connector Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3228
 
7.7%
호 1837
 
4.4%
사 1793
 
4.3%
한 1503
 
3.6%
검 1487
 
3.5%
비 1197
 
2.9%
용 1189
 
2.8%
울 1049
 
2.5%
공 983
 
2.3%
전 965
 
2.3%
Other values (314) 26738
63.7%
Uppercase Letter
ValueCountFrequency (%)
C 1133
16.0%
P 976
13.8%
R 948
13.4%
O 673
9.5%
H 567
8.0%
U 531
7.5%
G 323
 
4.6%
S 315
 
4.4%
A 218
 
3.1%
V 210
 
3.0%
Other values (14) 1198
16.9%
Lowercase Letter
ValueCountFrequency (%)
n 58
15.5%
e 46
12.3%
k 38
10.2%
a 37
9.9%
l 32
8.6%
i 23
 
6.1%
c 20
 
5.3%
g 18
 
4.8%
u 18
 
4.8%
t 16
 
4.3%
Other values (13) 68
18.2%
Decimal Number
ValueCountFrequency (%)
3 1450
25.4%
1 1165
20.4%
2 1105
19.3%
4 1030
18.0%
6 316
 
5.5%
0 268
 
4.7%
5 224
 
3.9%
7 98
 
1.7%
9 44
 
0.8%
8 17
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 841
81.7%
/ 179
 
17.4%
· 4
 
0.4%
" 2
 
0.2%
' 2
 
0.2%
& 1
 
0.1%
. 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
[ 217
57.0%
( 164
43.0%
Close Punctuation
ValueCountFrequency (%)
] 217
57.0%
) 164
43.0%
Space Separator
ValueCountFrequency (%)
10832
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 498
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41969
61.5%
Common 18842
27.6%
Latin 7466
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3228
 
7.7%
호 1837
 
4.4%
사 1793
 
4.3%
한 1503
 
3.6%
검 1487
 
3.5%
비 1197
 
2.9%
용 1189
 
2.8%
울 1049
 
2.5%
공 983
 
2.3%
전 965
 
2.3%
Other values (314) 26738
63.7%
Latin
ValueCountFrequency (%)
C 1133
15.2%
P 976
13.1%
R 948
12.7%
O 673
9.0%
H 567
 
7.6%
U 531
 
7.1%
G 323
 
4.3%
S 315
 
4.2%
A 218
 
2.9%
V 210
 
2.8%
Other values (37) 1572
21.1%
Common
ValueCountFrequency (%)
10832
57.5%
3 1450
 
7.7%
1 1165
 
6.2%
2 1105
 
5.9%
4 1030
 
5.5%
, 841
 
4.5%
- 498
 
2.6%
6 316
 
1.7%
0 268
 
1.4%
5 224
 
1.2%
Other values (14) 1113
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41969
61.5%
ASCII 26304
38.5%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10832
41.2%
3 1450
 
5.5%
1 1165
 
4.4%
C 1133
 
4.3%
2 1105
 
4.2%
4 1030
 
3.9%
P 976
 
3.7%
R 948
 
3.6%
, 841
 
3.2%
O 673
 
2.6%
Other values (60) 6151
23.4%
Hangul
ValueCountFrequency (%)
기 3228
 
7.7%
호 1837
 
4.4%
사 1793
 
4.3%
한 1503
 
3.6%
검 1487
 
3.5%
비 1197
 
2.9%
용 1189
 
2.8%
울 1049
 
2.5%
공 983
 
2.3%
전 965
 
2.3%
Other values (314) 26738
63.7%
None
ValueCountFrequency (%)
· 4
100.0%

공사 시작일
Date

Distinct750
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Memory size29.7 KiB
Minimum2014-02-27 00:00:00
Maximum2024-03-19 00:00:00
2024-04-06T18:07:32.231149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:07:32.464869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

회사명
Text

Distinct334
Distinct (%)8.8%
Missing1
Missing (%)< 0.1%
Memory size29.7 KiB
2024-04-06T18:07:32.851378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.4801902
Min length1

Characters and Unicode

Total characters24534
Distinct characters209
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)2.1%

Sample

1st row두산중공업
2nd row두산중공업
3rd rowKPS터빈
4th rowKPS터빈
5th rowKPS터빈
ValueCountFrequency (%)
한전kps 848
 
18.1%
두산중공업 359
 
7.6%
kps 353
 
7.5%
한전 253
 
5.4%
원정센터 230
 
4.9%
수산인더스트리 186
 
4.0%
에네스지 108
 
2.3%
세안기술 84
 
1.8%
한전kps원정센터 68
 
1.4%
kps전기팀 61
 
1.3%
Other values (295) 2148
45.7%
2024-04-06T18:07:33.486131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
S 1493
 
6.1%
P 1484
 
6.0%
전 1441
 
5.9%
K 1404
 
5.7%
한 1359
 
5.5%
929
 
3.8%
산 758
 
3.1%
주 655
 
2.7%
) 633
 
2.6%
( 625
 
2.5%
Other values (199) 13753
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17036
69.4%
Uppercase Letter 5041
 
20.5%
Space Separator 929
 
3.8%
Close Punctuation 633
 
2.6%
Open Punctuation 625
 
2.5%
Lowercase Letter 189
 
0.8%
Decimal Number 34
 
0.1%
Dash Punctuation 24
 
0.1%
Other Punctuation 23
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1441
 
8.5%
한 1359
 
8.0%
산 758
 
4.4%
주 655
 
3.8%
스 562
 
3.3%
원 541
 
3.2%
업 505
 
3.0%
터 496
 
2.9%
정 489
 
2.9%
센 479
 
2.8%
Other values (164) 9751
57.2%
Uppercase Letter
ValueCountFrequency (%)
S 1493
29.6%
P 1484
29.4%
K 1404
27.9%
C 88
 
1.7%
R 80
 
1.6%
I 67
 
1.3%
N 64
 
1.3%
E 55
 
1.1%
M 53
 
1.1%
A 39
 
0.8%
Other values (10) 214
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
s 62
32.8%
p 56
29.6%
k 55
29.1%
t 9
 
4.8%
e 6
 
3.2%
c 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 18
52.9%
1 14
41.2%
3 2
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 20
87.0%
& 3
 
13.0%
Space Separator
ValueCountFrequency (%)
929
100.0%
Close Punctuation
ValueCountFrequency (%)
) 633
100.0%
Open Punctuation
ValueCountFrequency (%)
( 625
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17036
69.4%
Latin 5230
 
21.3%
Common 2268
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1441
 
8.5%
한 1359
 
8.0%
산 758
 
4.4%
주 655
 
3.8%
스 562
 
3.3%
원 541
 
3.2%
업 505
 
3.0%
터 496
 
2.9%
정 489
 
2.9%
센 479
 
2.8%
Other values (164) 9751
57.2%
Latin
ValueCountFrequency (%)
S 1493
28.5%
P 1484
28.4%
K 1404
26.8%
C 88
 
1.7%
R 80
 
1.5%
I 67
 
1.3%
N 64
 
1.2%
s 62
 
1.2%
p 56
 
1.1%
E 55
 
1.1%
Other values (16) 377
 
7.2%
Common
ValueCountFrequency (%)
929
41.0%
) 633
27.9%
( 625
27.6%
- 24
 
1.1%
/ 20
 
0.9%
2 18
 
0.8%
1 14
 
0.6%
& 3
 
0.1%
3 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17036
69.4%
ASCII 7498
30.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
S 1493
19.9%
P 1484
19.8%
K 1404
18.7%
929
12.4%
) 633
8.4%
( 625
8.3%
C 88
 
1.2%
R 80
 
1.1%
I 67
 
0.9%
N 64
 
0.9%
Other values (25) 631
8.4%
Hangul
ValueCountFrequency (%)
전 1441
 
8.5%
한 1359
 
8.0%
산 758
 
4.4%
주 655
 
3.8%
스 562
 
3.3%
원 541
 
3.2%
업 505
 
3.0%
터 496
 
2.9%
정 489
 
2.9%
센 479
 
2.8%
Other values (164) 9751
57.2%

물질명
Text

Distinct2042
Distinct (%)54.1%
Missing15
Missing (%)0.4%
Memory size29.7 KiB
2024-04-06T18:07:33.942019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length11.680276
Min length2

Characters and Unicode

Total characters44058
Distinct characters433
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1596 ?
Unique (%)42.3%

Sample

1st rowOmega 99
2nd row나사산 윤활제N-5000
3rd rowWD-40
4th rowPR-50N
5th rowLOCTITE 242
ValueCountFrequency (%)
dc-3000 167
 
2.6%
dc-5000 163
 
2.5%
npp 114
 
1.8%
실리콘 81
 
1.3%
세척제 66
 
1.0%
npp-2 65
 
1.0%
multi-cleaner 60
 
0.9%
magnetic 57
 
0.9%
particle 57
 
0.9%
npr-1-3 56
 
0.9%
Other values (2132) 5534
86.2%
2024-04-06T18:07:35.053216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2887
 
6.6%
2664
 
6.0%
- 2174
 
4.9%
P 1671
 
3.8%
( 1434
 
3.3%
) 1429
 
3.2%
C 1276
 
2.9%
N 1225
 
2.8%
E 1179
 
2.7%
1 961
 
2.2%
Other values (423) 27158
61.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 14490
32.9%
Other Letter 10285
23.3%
Decimal Number 7544
17.1%
Lowercase Letter 3151
 
7.2%
Space Separator 2664
 
6.0%
Dash Punctuation 2174
 
4.9%
Open Punctuation 1439
 
3.3%
Close Punctuation 1434
 
3.3%
Other Punctuation 803
 
1.8%
Connector Punctuation 67
 
0.2%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 685
 
6.7%
액 424
 
4.1%
세 356
 
3.5%
리 321
 
3.1%
척 297
 
2.9%
투 288
 
2.8%
트 276
 
2.7%
상 276
 
2.7%
침 270
 
2.6%
스 257
 
2.5%
Other values (344) 6835
66.5%
Lowercase Letter
ValueCountFrequency (%)
e 375
11.9%
t 280
 
8.9%
l 280
 
8.9%
a 261
 
8.3%
r 259
 
8.2%
o 252
 
8.0%
i 224
 
7.1%
c 167
 
5.3%
n 153
 
4.9%
g 143
 
4.5%
Other values (17) 757
24.0%
Uppercase Letter
ValueCountFrequency (%)
P 1671
11.5%
C 1276
 
8.8%
N 1225
 
8.5%
E 1179
 
8.1%
T 942
 
6.5%
R 910
 
6.3%
D 907
 
6.3%
A 877
 
6.1%
L 856
 
5.9%
M 701
 
4.8%
Other values (16) 3946
27.2%
Decimal Number
ValueCountFrequency (%)
0 2887
38.3%
1 961
 
12.7%
2 785
 
10.4%
3 728
 
9.7%
5 687
 
9.1%
4 618
 
8.2%
7 270
 
3.6%
9 243
 
3.2%
6 204
 
2.7%
8 161
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 578
72.0%
. 79
 
9.8%
/ 60
 
7.5%
# 45
 
5.6%
% 24
 
3.0%
: 12
 
1.5%
' 5
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 1434
99.7%
[ 5
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 1429
99.7%
] 5
 
0.3%
Space Separator
ValueCountFrequency (%)
2664
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2174
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 67
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
100.0%
Other Symbol
ValueCountFrequency (%)
㎠ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17643
40.0%
Common 16130
36.6%
Hangul 10285
23.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 685
 
6.7%
액 424
 
4.1%
세 356
 
3.5%
리 321
 
3.1%
척 297
 
2.9%
투 288
 
2.8%
트 276
 
2.7%
상 276
 
2.7%
침 270
 
2.6%
스 257
 
2.5%
Other values (344) 6835
66.5%
Latin
ValueCountFrequency (%)
P 1671
 
9.5%
C 1276
 
7.2%
N 1225
 
6.9%
E 1179
 
6.7%
T 942
 
5.3%
R 910
 
5.2%
D 907
 
5.1%
A 877
 
5.0%
L 856
 
4.9%
M 701
 
4.0%
Other values (43) 7099
40.2%
Common
ValueCountFrequency (%)
0 2887
17.9%
2664
16.5%
- 2174
13.5%
( 1434
8.9%
) 1429
8.9%
1 961
 
6.0%
2 785
 
4.9%
3 728
 
4.5%
5 687
 
4.3%
4 618
 
3.8%
Other values (16) 1763
10.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33763
76.6%
Hangul 10285
 
23.3%
Number Forms 5
 
< 0.1%
Letterlike Symbols 3
 
< 0.1%
CJK Compat 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2887
 
8.6%
2664
 
7.9%
- 2174
 
6.4%
P 1671
 
4.9%
( 1434
 
4.2%
) 1429
 
4.2%
C 1276
 
3.8%
N 1225
 
3.6%
E 1179
 
3.5%
1 961
 
2.8%
Other values (66) 16863
49.9%
Hangul
ValueCountFrequency (%)
제 685
 
6.7%
액 424
 
4.1%
세 356
 
3.5%
리 321
 
3.1%
척 297
 
2.9%
투 288
 
2.8%
트 276
 
2.7%
상 276
 
2.7%
침 270
 
2.6%
스 257
 
2.5%
Other values (344) 6835
66.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
100.0%
Letterlike Symbols
ValueCountFrequency (%)
ℓ 3
100.0%
CJK Compat
ValueCountFrequency (%)
㎠ 2
100.0%

Missing values

2024-04-06T18:07:30.094511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:07:30.273150image/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.
2024-04-06T18:07:30.483391image/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

발전소명공사명공사 시작일회사명물질명
0한울2발U3 RCP내장품 완전분해 점검2014-02-27두산중공업<NA>
1한울2발U3 RCP내장품 완전분해 점검2014-02-27두산중공업<NA>
2한울2발U3-12OH2014-03-05KPS터빈<NA>
3한울2발U3-12OH2014-03-06KPS터빈<NA>
4한울2발U3-12차 OH2014-03-06KPS터빈Omega 99
5한울2발U3-12차 OH2014-03-07두산중공업나사산 윤활제N-5000
6한울2발U3-12차 OH2014-03-07두산중공업WD-40
7한울2발U3-12차 OH2014-03-07두산중공업PR-50N
8한울2발3-12차 계획예방정비2014-03-07KPS전기팀LOCTITE 242
9한울2발3-12차 계획예방정비2014-03-07포뉴텍방청 윤활제 P-404
발전소명공사명공사 시작일회사명물질명
3777한빛2발원전설비 기전공사2024-03-11한전KPSSEALANT-OS-T
3778새울1발가압기 전열기 교체공사2024-03-13두산에너빌리티이지크린
3779새울1발가압기 전열기 교체공사2024-03-13두산에너빌리티MULTI-CLEANER, DC-5000
3780새울1발가압기 전열기 교체공사2024-03-13두산에너빌리티MULTI-CLEANER, DC-3000 (나바켐)
3781새울1발가압기 전열기 교체공사2024-03-13두산에너빌리티PICO COLOR CHECK NPR 1-3 (나우기업 MSDS 요청 중)
3782새울1발가압기 전열기 교체공사2024-03-13두산에너빌리티PICO COLOR CHECK NPP-2 (나우주식회사)
3783새울1발가압기 전열기 교체공사2024-03-13두산에너빌리티액체침투탐상현상액, NPD-4 (나우주식회사)
3784고리1발고리1호기 RCP전동기 분해점검2024-03-18한전KPS 원정센터K-1 NPP (나바켐)
3785고리1발고리1호기 RCP전동기 분해점검2024-03-18한전KPS 원정센터MULTI-CLEANER, DC-5000
3786새울1발새울2호기 취수구 해수배관 방식작업(아치코팅)2024-03-19케이코텍경화제, PU9330PTB(N)

Duplicate rows

Most frequently occurring

발전소명공사명공사 시작일회사명물질명# duplicates
100한울2발한울 3,4호기 MOV/AOV 진단시험 용역2019-09-09수산인더스트리(주)<NA>4
121한울2발한울3호기 사용후핵연료 운반2023-08-22세안에너텍MULTI-CLEANER, DC-50004
17고리3발신고리1,2호기 동력구동밸브 진단시험2022-09-14(주)한빛파워X-60(B)-VERBESSERTE REZEPTUR3
18고리3발신고리1,2호기 동력구동밸브 진단시험2022-09-14(주)한빛파워X-60-A(VERBESSERTE REZEPTUR)3
69한울1발한울1,2호기 기기,배관 및 구조물 가동중검사2014-10-23앤스코(주)PT3
84한울2발U3-12차 OH2014-03-27KPS설비진단팀KD-DT3
142한울3발증기발생기 전열관 가동중검사2023-08-16(주)유엠아이DC-30003
0고리1발K2 32차 계획예방정비 2차측 기계설비 정비2023-05-16한전KPSK-1 NPP2
1고리1발K2 32차 계획예방정비 2차측 기계설비 정비2023-05-16한전KPSLOCTITE 록타이트 587 BLUE2
2고리1발K2 32차 계획예방정비 2차측 기계설비 정비2023-05-16한전KPSMC-2(3P)2