Overview

Dataset statistics

Number of variables8
Number of observations358
Missing cells77
Missing cells (%)2.7%
Duplicate rows4
Duplicate rows (%)1.1%
Total size in memory22.5 KiB
Average record size in memory64.4 B

Variable types

Categorical5
Text3

Dataset

Description한국연구재단이 보유하고 있는 "원자력진흥위원회" 시스템에있는 위원회 위원 관리 데이터 입니다 위원회에 임명된 위원들의 전공, 직책, 임기 등의 정보가 있습니다
URLhttps://www.data.go.kr/data/15117391/fileData.do

Alerts

Dataset has 4 (1.1%) duplicate rowsDuplicates
위원회명칭 is highly overall correlated with 임기시작일 and 1 other fieldsHigh correlation
임기시작일 is highly overall correlated with 위원회명칭 and 1 other fieldsHigh correlation
임기종료일 is highly overall correlated with 위원회명칭 and 1 other fieldsHigh correlation
직책 is highly imbalanced (51.6%)Imbalance
전공명 is highly imbalanced (60.6%)Imbalance
성명 has 26 (7.3%) missing valuesMissing
직위 has 18 (5.0%) missing valuesMissing
기관명(소속) has 33 (9.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 07:25:36.697478
Analysis finished2023-12-12 07:25:37.715874
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위원회명칭
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
원자력이용개발전문위원회
254 
원자력진흥위원회
104 

Length

Max length12
Median length12
Mean length10.837989
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원자력이용개발전문위원회 254
70.9%
원자력진흥위원회 104
29.1%

Length

2023-12-12T16:25:37.802312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:25:37.915682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원자력이용개발전문위원회 254
70.9%
원자력진흥위원회 104
29.1%

직책
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
임명직
252 
당연직
76 
위원장
 
19
서기
 
5
위원
 
5

Length

Max length3
Median length3
Mean length2.9692737
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row위원장
2nd row당연직
3rd row당연직
4th row당연직
5th row당연직

Common Values

ValueCountFrequency (%)
임명직 252
70.4%
당연직 76
 
21.2%
위원장 19
 
5.3%
서기 5
 
1.4%
위원 5
 
1.4%
간사 1
 
0.3%

Length

2023-12-12T16:25:38.038832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:25:38.178163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임명직 252
70.4%
당연직 76
 
21.2%
위원장 19
 
5.3%
서기 5
 
1.4%
위원 5
 
1.4%
간사 1
 
0.3%

성명
Text

MISSING 

Distinct244
Distinct (%)73.5%
Missing26
Missing (%)7.3%
Memory size2.9 KiB
2023-12-12T16:25:38.535968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3
Min length2

Characters and Unicode

Total characters996
Distinct characters147
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique184 ?
Unique (%)55.4%

Sample

1st row최각규
2nd row정근모
3rd row이희일
4th row김진현
5th row진념
ValueCountFrequency (%)
이창건 6
 
1.8%
이건재 6
 
1.8%
김경민 5
 
1.5%
황주호 5
 
1.5%
최순자 5
 
1.5%
박세문 4
 
1.2%
윤덕민 4
 
1.2%
조남진 4
 
1.2%
장호완 3
 
0.9%
김상국 3
 
0.9%
Other values (237) 290
86.6%
2023-12-12T16:25:39.073493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 63
 
6.3%
이 50
 
5.0%
박 38
 
3.8%
정 28
 
2.8%
종 23
 
2.3%
성 18
 
1.8%
최 17
 
1.7%
병 17
 
1.7%
창 17
 
1.7%
민 17
 
1.7%
Other values (137) 708
71.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 991
99.5%
Space Separator 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 63
 
6.4%
이 50
 
5.0%
박 38
 
3.8%
정 28
 
2.8%
종 23
 
2.3%
성 18
 
1.8%
최 17
 
1.7%
병 17
 
1.7%
창 17
 
1.7%
민 17
 
1.7%
Other values (136) 703
70.9%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 991
99.5%
Common 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 63
 
6.4%
이 50
 
5.0%
박 38
 
3.8%
정 28
 
2.8%
종 23
 
2.3%
성 18
 
1.8%
최 17
 
1.7%
병 17
 
1.7%
창 17
 
1.7%
민 17
 
1.7%
Other values (136) 703
70.9%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 991
99.5%
ASCII 5
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 63
 
6.4%
이 50
 
5.0%
박 38
 
3.8%
정 28
 
2.8%
종 23
 
2.3%
성 18
 
1.8%
최 17
 
1.7%
병 17
 
1.7%
창 17
 
1.7%
민 17
 
1.7%
Other values (136) 703
70.9%
ASCII
ValueCountFrequency (%)
5
100.0%

직위
Text

MISSING 

Distinct110
Distinct (%)32.4%
Missing18
Missing (%)5.0%
Memory size2.9 KiB
2023-12-12T16:25:39.383661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length4.0029412
Min length1

Characters and Unicode

Total characters1361
Distinct characters123
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)19.7%

Sample

1st row부총리
2nd row장관
3rd row장관
4th row장관
5th row장관
ValueCountFrequency (%)
교수 94
25.9%
장관 40
 
11.0%
회장 13
 
3.6%
사장 11
 
3.0%
책임연구원 10
 
2.8%
부회장 9
 
2.5%
부사장 8
 
2.2%
연구위원 8
 
2.2%
위원 8
 
2.2%
원장 6
 
1.7%
Other values (100) 156
43.0%
2023-12-12T16:25:39.841717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 175
 
12.9%
교 102
 
7.5%
수 100
 
7.3%
원 83
 
6.1%
관 60
 
4.4%
부 54
 
4.0%
사 44
 
3.2%
책 33
 
2.4%
구 32
 
2.4%
연 32
 
2.4%
Other values (113) 646
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1307
96.0%
Space Separator 27
 
2.0%
Uppercase Letter 12
 
0.9%
Open Punctuation 6
 
0.4%
Close Punctuation 6
 
0.4%
Decimal Number 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 175
 
13.4%
교 102
 
7.8%
수 100
 
7.7%
원 83
 
6.4%
관 60
 
4.6%
부 54
 
4.1%
사 44
 
3.4%
책 33
 
2.5%
구 32
 
2.4%
연 32
 
2.4%
Other values (100) 592
45.3%
Uppercase Letter
ValueCountFrequency (%)
T 2
16.7%
K 2
16.7%
S 2
16.7%
A 2
16.7%
I 2
16.7%
M 1
8.3%
P 1
8.3%
Decimal Number
ValueCountFrequency (%)
7 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1307
96.0%
Common 42
 
3.1%
Latin 12
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 175
 
13.4%
교 102
 
7.8%
수 100
 
7.7%
원 83
 
6.4%
관 60
 
4.6%
부 54
 
4.1%
사 44
 
3.4%
책 33
 
2.5%
구 32
 
2.4%
연 32
 
2.4%
Other values (100) 592
45.3%
Latin
ValueCountFrequency (%)
T 2
16.7%
K 2
16.7%
S 2
16.7%
A 2
16.7%
I 2
16.7%
M 1
8.3%
P 1
8.3%
Common
ValueCountFrequency (%)
27
64.3%
( 6
 
14.3%
) 6
 
14.3%
. 1
 
2.4%
7 1
 
2.4%
4 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1307
96.0%
ASCII 54
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 175
 
13.4%
교 102
 
7.8%
수 100
 
7.7%
원 83
 
6.4%
관 60
 
4.6%
부 54
 
4.1%
사 44
 
3.4%
책 33
 
2.5%
구 32
 
2.4%
연 32
 
2.4%
Other values (100) 592
45.3%
ASCII
ValueCountFrequency (%)
27
50.0%
( 6
 
11.1%
) 6
 
11.1%
T 2
 
3.7%
K 2
 
3.7%
S 2
 
3.7%
A 2
 
3.7%
I 2
 
3.7%
M 1
 
1.9%
P 1
 
1.9%
Other values (3) 3
 
5.6%

전공명
Categorical

IMBALANCE 

Distinct46
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
<NA>
262 
원자력공학과
 
10
원자핵공학과
 
7
법학과
 
7
원자력 및 양자공학과
 
7
Other values (41)
65 

Length

Max length12
Median length4
Mean length4.7458101
Min length4

Unique

Unique29 ?
Unique (%)8.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 262
73.2%
원자력공학과 10
 
2.8%
원자핵공학과 7
 
2.0%
법학과 7
 
2.0%
원자력 및 양자공학과 7
 
2.0%
원자력공학과 6
 
1.7%
정치외교학과 5
 
1.4%
물리학과 4
 
1.1%
행정학과 4
 
1.1%
화학공학과 3
 
0.8%
Other values (36) 43
 
12.0%

Length

2023-12-12T16:25:40.017494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 262
69.9%
원자력공학과 16
 
4.3%
양자공학과 9
 
2.4%
원자력 8
 
2.1%
및 8
 
2.1%
원자핵공학과 7
 
1.9%
법학과 7
 
1.9%
정치외교학과 5
 
1.3%
화학공학과 5
 
1.3%
물리학과 4
 
1.1%
Other values (33) 44
 
11.7%

기관명(소속)
Text

MISSING 

Distinct146
Distinct (%)44.9%
Missing33
Missing (%)9.2%
Memory size2.9 KiB
2023-12-12T16:25:40.234779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.6492308
Min length3

Characters and Unicode

Total characters2161
Distinct characters150
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)27.4%

Sample

1st row과학기술부
2nd row동력자원부
3rd row과학기술처
4th row동력자원부
5th row한국전력공사
ValueCountFrequency (%)
한국원자력연구원 16
 
4.8%
한국과학기술원(kaist 14
 
4.2%
서울대 13
 
3.9%
경희대 12
 
3.6%
한양대 10
 
3.0%
한국전력공사 9
 
2.7%
기획재정부 9
 
2.7%
한국전력기술㈜ 8
 
2.4%
한전원자력연료㈜ 8
 
2.4%
과학기술처 7
 
2.1%
Other values (114) 225
68.0%
2023-12-12T16:25:40.564929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
8.5%
원 177
 
8.2%
한 104
 
4.8%
력 102
 
4.7%
자 94
 
4.3%
국 92
 
4.3%
대 86
 
4.0%
기 83
 
3.8%
술 64
 
3.0%
부 64
 
3.0%
Other values (140) 1112
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1823
84.4%
Space Separator 183
 
8.5%
Uppercase Letter 77
 
3.6%
Other Symbol 27
 
1.2%
Close Punctuation 26
 
1.2%
Open Punctuation 25
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 177
 
9.7%
한 104
 
5.7%
력 102
 
5.6%
자 94
 
5.2%
국 92
 
5.0%
대 86
 
4.7%
기 83
 
4.6%
술 64
 
3.5%
부 64
 
3.5%
학 58
 
3.2%
Other values (125) 899
49.3%
Uppercase Letter
ValueCountFrequency (%)
T 14
18.2%
A 14
18.2%
K 14
18.2%
I 14
18.2%
S 14
18.2%
E 2
 
2.6%
G 1
 
1.3%
P 1
 
1.3%
N 1
 
1.3%
C 1
 
1.3%
Space Separator
ValueCountFrequency (%)
183
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1850
85.6%
Common 234
 
10.8%
Latin 77
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 177
 
9.6%
한 104
 
5.6%
력 102
 
5.5%
자 94
 
5.1%
국 92
 
5.0%
대 86
 
4.6%
기 83
 
4.5%
술 64
 
3.5%
부 64
 
3.5%
학 58
 
3.1%
Other values (126) 926
50.1%
Latin
ValueCountFrequency (%)
T 14
18.2%
A 14
18.2%
K 14
18.2%
I 14
18.2%
S 14
18.2%
E 2
 
2.6%
G 1
 
1.3%
P 1
 
1.3%
N 1
 
1.3%
C 1
 
1.3%
Common
ValueCountFrequency (%)
183
78.2%
) 26
 
11.1%
( 25
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1823
84.4%
ASCII 311
 
14.4%
None 27
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
58.8%
) 26
 
8.4%
( 25
 
8.0%
T 14
 
4.5%
A 14
 
4.5%
K 14
 
4.5%
I 14
 
4.5%
S 14
 
4.5%
E 2
 
0.6%
G 1
 
0.3%
Other values (4) 4
 
1.3%
Hangul
ValueCountFrequency (%)
원 177
 
9.7%
한 104
 
5.7%
력 102
 
5.6%
자 94
 
5.2%
국 92
 
5.0%
대 86
 
4.7%
기 83
 
4.6%
술 64
 
3.5%
부 64
 
3.5%
학 58
 
3.2%
Other values (125) 899
49.3%
None
ValueCountFrequency (%)
㈜ 27
100.0%

임기시작일
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2010-04-01
35 
2003-01-01
26 
2007-03-01
24 
2014-04-01
23 
2000-12-01
23 
Other values (38)
227 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique13 ?
Unique (%)3.6%

Sample

1st row1991-02-01
2nd row1990-03-01
3rd row1990-03-01
4th row1990-11-01
5th row1991-05-01

Common Values

ValueCountFrequency (%)
2010-04-01 35
 
9.8%
2003-01-01 26
 
7.3%
2007-03-01 24
 
6.7%
2014-04-01 23
 
6.4%
2000-12-01 23
 
6.4%
1990-01-01 21
 
5.9%
1997-12-01 20
 
5.6%
2019-03-01 20
 
5.6%
2005-03-01 20
 
5.6%
2016-12-01 19
 
5.3%
Other values (33) 127
35.5%

Length

2023-12-12T16:25:40.678542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2010-04-01 35
 
9.8%
2003-01-01 26
 
7.3%
2007-03-01 24
 
6.7%
2014-04-01 23
 
6.4%
2000-12-01 23
 
6.4%
1990-01-01 21
 
5.9%
1997-12-01 20
 
5.6%
2019-03-01 20
 
5.6%
2005-03-01 20
 
5.6%
2021-04-01 19
 
5.3%
Other values (33) 127
35.5%

임기종료일
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2005-01-01
27 
2012-04-01
25 
2009-03-01
24 
2016-04-01
 
23
2002-11-01
 
23
Other values (41)
236 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique16 ?
Unique (%)4.5%

Sample

1st row1993-02-01
2nd row1990-11-01
3rd row1991-05-01
4th row1993-02-01
5th row1993-02-01

Common Values

ValueCountFrequency (%)
2005-01-01 27
 
7.5%
2012-04-01 25
 
7.0%
2009-03-01 24
 
6.7%
2016-04-01 23
 
6.4%
2002-11-01 23
 
6.4%
1993-07-01 21
 
5.9%
2018-12-01 20
 
5.6%
2021-03-01 20
 
5.6%
2007-03-01 20
 
5.6%
1999-12-01 20
 
5.6%
Other values (36) 135
37.7%

Length

2023-12-12T16:25:40.785808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2005-01-01 27
 
7.5%
2012-04-01 25
 
7.0%
2009-03-01 24
 
6.7%
2016-04-01 23
 
6.4%
2002-11-01 23
 
6.4%
1993-07-01 21
 
5.9%
2018-12-01 20
 
5.6%
2021-03-01 20
 
5.6%
2007-03-01 20
 
5.6%
1999-12-01 20
 
5.6%
Other values (36) 135
37.7%

Correlations

2023-12-12T16:25:40.864637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위원회명칭직책전공명임기시작일임기종료일
위원회명칭1.0000.3860.0000.9670.997
직책0.3861.0000.8480.5500.544
전공명0.0000.8481.0000.0000.000
임기시작일0.9670.5500.0001.0000.998
임기종료일0.9970.5440.0000.9981.000
2023-12-12T16:25:40.959692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위원회명칭임기종료일전공명임기시작일직책
위원회명칭1.0000.8980.0000.8620.276
임기종료일0.8981.0000.0000.8970.251
전공명0.0000.0001.0000.0000.448
임기시작일0.8620.8970.0001.0000.256
직책0.2760.2510.4480.2561.000
2023-12-12T16:25:41.348687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위원회명칭직책전공명임기시작일임기종료일
위원회명칭1.0000.2760.0000.8620.898
직책0.2761.0000.4480.2560.251
전공명0.0000.4481.0000.0000.000
임기시작일0.8620.2560.0001.0000.897
임기종료일0.8980.2510.0000.8971.000

Missing values

2023-12-12T16:25:37.383034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:25:37.544608image/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.
2023-12-12T16:25:37.650625image/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

위원회명칭직책성명직위전공명기관명(소속)임기시작일임기종료일
0원자력진흥위원회위원장최각규부총리<NA><NA>1991-02-011993-02-01
1원자력진흥위원회당연직정근모장관<NA>과학기술부1990-03-011990-11-01
2원자력진흥위원회당연직이희일장관<NA>동력자원부1990-03-011991-05-01
3원자력진흥위원회당연직김진현장관<NA>과학기술처1990-11-011993-02-01
4원자력진흥위원회당연직진념장관<NA>동력자원부1991-05-011993-02-01
5원자력진흥위원회임명직안병화사장<NA>한국전력공사1990-01-011993-07-01
6원자력진흥위원회임명직차종희연구원<NA>한국원자력연구원1990-01-011993-07-01
7원자력진흥위원회임명직성낙정부회장<NA>(주)경인에너지1990-01-011993-07-01
8원자력진흥위원회임명직이진설비서관<NA>대통령비서실1990-01-011993-07-01
9원자력진흥위원회당연직홍재형장관<NA>경제기획원1994-12-011995-12-01
위원회명칭직책성명직위전공명기관명(소속)임기시작일임기종료일
348원자력이용개발전문위원회임명직박찬국연구위원<NA>에너지경제연구원2021-04-012023-04-01
349원자력이용개발전문위원회임명직백종혁미래전략본부장<NA>한국원자력연구원2021-04-012023-04-01
350원자력이용개발전문위원회임명직정현경책임연구원<NA>한국핵융합에너지연구원2021-04-012023-04-01
351원자력이용개발전문위원회임명직이레나방사선보건원 원장<NA>한수원㈜2021-04-012023-04-01
352원자력이용개발전문위원회임명직임채준기술연구원장<NA>한전원자력연료㈜2021-04-012023-04-01
353원자력이용개발전문위원회임명직김종두상무원자력사업㈜두산중공업2021-04-012023-04-01
354원자력이용개발전문위원회임명직최남우기술부사장<NA>한국수력원자력㈜2021-04-012023-04-01
355원자력이용개발전문위원회임명직이종원사업본부장<NA>원자력환경공단2021-04-012023-04-01
356원자력이용개발전문위원회임명직김형철대표이사<NA>자비스㈜2021-04-012023-04-01
357원자력이용개발전문위원회임명직이병진신기술사업그룹장<NA>한국전력기술㈜2021-04-012023-04-01

Duplicate rows

Most frequently occurring

위원회명칭직책성명직위전공명기관명(소속)임기시작일임기종료일# duplicates
0원자력이용개발전문위원회당연직권혁세산업심의관<NA>국무조정실2000-12-012002-11-012
1원자력이용개발전문위원회당연직<NA>교육문화여성정책관<NA>국무총리실2010-04-012012-04-012
2원자력이용개발전문위원회위원윤덕민<NA><NA><NA>1997-12-011999-12-012
3원자력이용개발전문위원회임명직김상국교수산업공학과경희대2003-01-012005-01-012