Overview

Dataset statistics

Number of variables9
Number of observations363
Missing cells362
Missing cells (%)11.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.7 KiB
Average record size in memory72.4 B

Variable types

Text5
Categorical4

Dataset

Description(주)한국가스기술공사 홈페이지 시스템에 사용되는 기관표준 용어 목록으로 용어명 물리명 도메인 인포타입 데이터타입 정의 등의 항목을 제공합니다
URLhttps://www.data.go.kr/data/15103153/fileData.do

Alerts

코드명 has constant value ""Constant
개인정보 유형 has constant value ""Constant
공개_비공개여부 has constant value ""Constant
코드명 has 362 (99.7%) missing valuesMissing
용어명 has unique valuesUnique
물리명 has unique valuesUnique
정의 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:24:50.637400
Analysis finished2023-12-12 15:24:51.490108
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

용어명
Text

UNIQUE 

Distinct363
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T00:24:51.719592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.0330579
Min length1

Characters and Unicode

Total characters1827
Distinct characters252
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

Unique363 ?
Unique (%)100.0%

Sample

1st row충전등록
2nd row프로젝트계약일
3rd row프로젝트준공일
4th row지사활동명
5th row낙찰업체
ValueCountFrequency (%)
충전등록 1
 
0.3%
종료일자 1
 
0.3%
발표시작일자 1
 
0.3%
조회일 1
 
0.3%
상태 1
 
0.3%
qna상태 1
 
0.3%
입찰공고연락처 1
 
0.3%
우편 1
 
0.3%
국가정보 1
 
0.3%
공사실적수 1
 
0.3%
Other values (353) 353
97.2%
2023-12-13T00:24:52.117495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 62
 
3.4%
사 53
 
2.9%
이 52
 
2.8%
드 48
 
2.6%
자 46
 
2.5%
코 40
 
2.2%
용 35
 
1.9%
로 35
 
1.9%
부 30
 
1.6%
아 30
 
1.6%
Other values (242) 1396
76.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1788
97.9%
Uppercase Letter 39
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 62
 
3.5%
사 53
 
3.0%
이 52
 
2.9%
드 48
 
2.7%
자 46
 
2.6%
코 40
 
2.2%
용 35
 
2.0%
로 35
 
2.0%
부 30
 
1.7%
아 30
 
1.7%
Other values (229) 1357
75.9%
Uppercase Letter
ValueCountFrequency (%)
I 7
17.9%
C 6
15.4%
P 5
12.8%
S 5
12.8%
L 4
10.3%
R 2
 
5.1%
U 2
 
5.1%
D 2
 
5.1%
M 2
 
5.1%
Q 1
 
2.6%
Other values (3) 3
7.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1788
97.9%
Latin 39
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 62
 
3.5%
사 53
 
3.0%
이 52
 
2.9%
드 48
 
2.7%
자 46
 
2.6%
코 40
 
2.2%
용 35
 
2.0%
로 35
 
2.0%
부 30
 
1.7%
아 30
 
1.7%
Other values (229) 1357
75.9%
Latin
ValueCountFrequency (%)
I 7
17.9%
C 6
15.4%
P 5
12.8%
S 5
12.8%
L 4
10.3%
R 2
 
5.1%
U 2
 
5.1%
D 2
 
5.1%
M 2
 
5.1%
Q 1
 
2.6%
Other values (3) 3
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1788
97.9%
ASCII 39
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 62
 
3.5%
사 53
 
3.0%
이 52
 
2.9%
드 48
 
2.7%
자 46
 
2.6%
코 40
 
2.2%
용 35
 
2.0%
로 35
 
2.0%
부 30
 
1.7%
아 30
 
1.7%
Other values (229) 1357
75.9%
ASCII
ValueCountFrequency (%)
I 7
17.9%
C 6
15.4%
P 5
12.8%
S 5
12.8%
L 4
10.3%
R 2
 
5.1%
U 2
 
5.1%
D 2
 
5.1%
M 2
 
5.1%
Q 1
 
2.6%
Other values (3) 3
7.7%

물리명
Text

UNIQUE 

Distinct363
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T00:24:52.490152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length10.044077
Min length2

Characters and Unicode

Total characters3646
Distinct characters27
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique363 ?
Unique (%)100.0%

Sample

1st rowCHARGE_REGIST
2nd rowPROJECT_COMDAY
3rd rowPROJECT_FINALDAY
4th rowPROGRAM_NM
5th rowCONTRACT_COMP
ValueCountFrequency (%)
charge_regist 1
 
0.3%
finish_date 1
 
0.3%
announcement_from_date 1
 
0.3%
view_dt 1
 
0.3%
state 1
 
0.3%
qna_state 1
 
0.3%
tender_tel 1
 
0.3%
zip 1
 
0.3%
nationalinfo 1
 
0.3%
outwork_count 1
 
0.3%
Other values (353) 353
97.2%
2023-12-13T00:24:53.017033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 419
 
11.5%
_ 355
 
9.7%
T 294
 
8.1%
I 265
 
7.3%
R 248
 
6.8%
O 233
 
6.4%
N 226
 
6.2%
A 196
 
5.4%
D 173
 
4.7%
S 173
 
4.7%
Other values (17) 1064
29.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 3291
90.3%
Connector Punctuation 355
 
9.7%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 419
12.7%
T 294
 
8.9%
I 265
 
8.1%
R 248
 
7.5%
O 233
 
7.1%
N 226
 
6.9%
A 196
 
6.0%
D 173
 
5.3%
S 173
 
5.3%
P 149
 
4.5%
Other values (16) 915
27.8%
Connector Punctuation
ValueCountFrequency (%)
_ 355
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3291
90.3%
Common 355
 
9.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 419
12.7%
T 294
 
8.9%
I 265
 
8.1%
R 248
 
7.5%
O 233
 
7.1%
N 226
 
6.9%
A 196
 
6.0%
D 173
 
5.3%
S 173
 
5.3%
P 149
 
4.5%
Other values (16) 915
27.8%
Common
ValueCountFrequency (%)
_ 355
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3646
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 419
 
11.5%
_ 355
 
9.7%
T 294
 
8.1%
I 265
 
7.3%
R 248
 
6.8%
O 233
 
6.4%
N 226
 
6.2%
A 196
 
5.4%
D 173
 
4.7%
S 173
 
4.7%
Other values (17) 1064
29.2%

도메인
Categorical

Distinct36
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
명
58 
여부
38 
코드
37 
아이디
25 
일
24 
Other values (31)
181 

Length

Max length5
Median length2
Mean length1.8842975
Min length1

Unique

Unique6 ?
Unique (%)1.7%

Sample

1st row일
2nd row일
3rd row일
4th row명
5th row명

Common Values

ValueCountFrequency (%)
명 58
16.0%
여부 38
 
10.5%
코드 37
 
10.2%
아이디 25
 
6.9%
일 24
 
6.6%
일자 21
 
5.8%
내용 21
 
5.8%
수 16
 
4.4%
유무 13
 
3.6%
유형 11
 
3.0%
Other values (26) 99
27.3%

Length

2023-12-13T00:24:53.175935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
명 58
16.0%
여부 38
 
10.5%
코드 37
 
10.2%
아이디 25
 
6.9%
일 24
 
6.6%
일자 21
 
5.8%
내용 21
 
5.8%
수 16
 
4.4%
유무 13
 
3.6%
유형 11
 
3.0%
Other values (26) 99
27.3%

인포타입
Text

Distinct93
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T00:24:53.479649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.3498623
Min length4

Characters and Unicode

Total characters2305
Distinct characters77
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)11.0%

Sample

1st row일_VC8
2nd row일_VC8
3rd row일_VC8
4th row명_VC100
5th row명_VC100
ValueCountFrequency (%)
여부_ch1 38
 
10.5%
코드_in 26
 
7.2%
일_dt 16
 
4.4%
일자_dt 15
 
4.1%
수_in 13
 
3.6%
명_vc300 13
 
3.6%
유무_ch1 12
 
3.3%
명_vc50 11
 
3.0%
명_vc100 9
 
2.5%
아이디_in 9
 
2.5%
Other values (83) 201
55.4%
2023-12-13T00:24:53.989785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 363
15.7%
C 263
 
11.4%
0 233
 
10.1%
V 177
 
7.7%
1 107
 
4.6%
H 78
 
3.4%
N 77
 
3.3%
명 63
 
2.7%
I 63
 
2.7%
2 60
 
2.6%
Other values (67) 821
35.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 742
32.2%
Other Letter 668
29.0%
Decimal Number 532
23.1%
Connector Punctuation 363
15.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
명 63
 
9.4%
일 52
 
7.8%
여 38
 
5.7%
부 38
 
5.7%
드 37
 
5.5%
코 37
 
5.5%
이 30
 
4.5%
아 29
 
4.3%
디 29
 
4.3%
유 24
 
3.6%
Other values (45) 291
43.6%
Uppercase Letter
ValueCountFrequency (%)
C 263
35.4%
V 177
23.9%
H 78
 
10.5%
N 77
 
10.4%
I 63
 
8.5%
T 31
 
4.2%
D 31
 
4.2%
M 11
 
1.5%
P 5
 
0.7%
L 2
 
0.3%
Other values (2) 4
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 233
43.8%
1 107
20.1%
2 60
 
11.3%
5 50
 
9.4%
3 36
 
6.8%
4 22
 
4.1%
8 20
 
3.8%
6 2
 
0.4%
9 2
 
0.4%
Connector Punctuation
ValueCountFrequency (%)
_ 363
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 895
38.8%
Latin 742
32.2%
Hangul 668
29.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
명 63
 
9.4%
일 52
 
7.8%
여 38
 
5.7%
부 38
 
5.7%
드 37
 
5.5%
코 37
 
5.5%
이 30
 
4.5%
아 29
 
4.3%
디 29
 
4.3%
유 24
 
3.6%
Other values (45) 291
43.6%
Latin
ValueCountFrequency (%)
C 263
35.4%
V 177
23.9%
H 78
 
10.5%
N 77
 
10.4%
I 63
 
8.5%
T 31
 
4.2%
D 31
 
4.2%
M 11
 
1.5%
P 5
 
0.7%
L 2
 
0.3%
Other values (2) 4
 
0.5%
Common
ValueCountFrequency (%)
_ 363
40.6%
0 233
26.0%
1 107
 
12.0%
2 60
 
6.7%
5 50
 
5.6%
3 36
 
4.0%
4 22
 
2.5%
8 20
 
2.2%
6 2
 
0.2%
9 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1637
71.0%
Hangul 668
29.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 363
22.2%
C 263
16.1%
0 233
14.2%
V 177
10.8%
1 107
 
6.5%
H 78
 
4.8%
N 77
 
4.7%
I 63
 
3.8%
2 60
 
3.7%
5 50
 
3.1%
Other values (12) 166
10.1%
Hangul
ValueCountFrequency (%)
명 63
 
9.4%
일 52
 
7.8%
여 38
 
5.7%
부 38
 
5.7%
드 37
 
5.5%
코 37
 
5.5%
이 30
 
4.5%
아 29
 
4.3%
디 29
 
4.3%
유 24
 
3.6%
Other values (45) 291
43.6%

데이터타입
Categorical

Distinct30
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
CHAR(1)
72 
INTEGER
57 
DATE
31 
VARCHAR(200)
26 
VARCHAR(300)
24 
Other values (25)
153 

Length

Max length13
Median length12
Mean length8.9614325
Min length4

Unique

Unique6 ?
Unique (%)1.7%

Sample

1st rowVARCHAR(8)
2nd rowVARCHAR(8)
3rd rowVARCHAR(8)
4th rowVARCHAR(100)
5th rowVARCHAR(100)

Common Values

ValueCountFrequency (%)
CHAR(1) 72
19.8%
INTEGER 57
15.7%
DATE 31
 
8.5%
VARCHAR(200) 26
 
7.2%
VARCHAR(300) 24
 
6.6%
VARCHAR(50) 24
 
6.6%
VARCHAR(20) 15
 
4.1%
NUMBER(18) 11
 
3.0%
VARCHAR(30) 10
 
2.8%
VARCHAR(100) 10
 
2.8%
Other values (20) 83
22.9%

Length

2023-12-13T00:24:54.121964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
char(1 72
19.8%
integer 57
15.7%
date 31
 
8.5%
varchar(200 26
 
7.2%
varchar(300 24
 
6.6%
varchar(50 24
 
6.6%
varchar(20 15
 
4.1%
number(18 11
 
3.0%
varchar(30 10
 
2.8%
varchar(100 10
 
2.8%
Other values (20) 83
22.9%

코드명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing362
Missing (%)99.7%
Memory size3.0 KiB
2023-12-13T00:24:54.215504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row직급
ValueCountFrequency (%)
직급 1
100.0%
2023-12-13T00:24:54.457142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
직 1
50.0%
급 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
직 1
50.0%
급 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
직 1
50.0%
급 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
직 1
50.0%
급 1
50.0%

정의
Text

UNIQUE 

Distinct363
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T00:24:54.733351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length5.1680441
Min length1

Characters and Unicode

Total characters1876
Distinct characters265
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique363 ?
Unique (%)100.0%

Sample

1st row충전등록
2nd row프로젝트계약일
3rd row프로젝트준공일
4th row지사활동명
5th row낙찰업체
ValueCountFrequency (%)
약속한 4
 
1.1%
프로젝트코드의 4
 
1.1%
일자 2
 
0.5%
번호 2
 
0.5%
명칭 2
 
0.5%
발표설명 1
 
0.3%
조회일 1
 
0.3%
상태 1
 
0.3%
qna상태 1
 
0.3%
입찰공고연락처 1
 
0.3%
Other values (360) 360
95.0%
2023-12-13T00:24:55.219923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 62
 
3.3%
사 54
 
2.9%
이 53
 
2.8%
자 47
 
2.5%
드 47
 
2.5%
코 40
 
2.1%
로 35
 
1.9%
용 35
 
1.9%
부 30
 
1.6%
아 30
 
1.6%
Other values (255) 1443
76.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1821
97.1%
Uppercase Letter 39
 
2.1%
Space Separator 16
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 62
 
3.4%
사 54
 
3.0%
이 53
 
2.9%
자 47
 
2.6%
드 47
 
2.6%
코 40
 
2.2%
로 35
 
1.9%
용 35
 
1.9%
부 30
 
1.6%
아 30
 
1.6%
Other values (241) 1388
76.2%
Uppercase Letter
ValueCountFrequency (%)
I 7
17.9%
C 6
15.4%
P 5
12.8%
S 5
12.8%
L 4
10.3%
U 2
 
5.1%
R 2
 
5.1%
D 2
 
5.1%
M 2
 
5.1%
N 1
 
2.6%
Other values (3) 3
7.7%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1821
97.1%
Latin 39
 
2.1%
Common 16
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 62
 
3.4%
사 54
 
3.0%
이 53
 
2.9%
자 47
 
2.6%
드 47
 
2.6%
코 40
 
2.2%
로 35
 
1.9%
용 35
 
1.9%
부 30
 
1.6%
아 30
 
1.6%
Other values (241) 1388
76.2%
Latin
ValueCountFrequency (%)
I 7
17.9%
C 6
15.4%
P 5
12.8%
S 5
12.8%
L 4
10.3%
U 2
 
5.1%
R 2
 
5.1%
D 2
 
5.1%
M 2
 
5.1%
N 1
 
2.6%
Other values (3) 3
7.7%
Common
ValueCountFrequency (%)
16
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1821
97.1%
ASCII 55
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 62
 
3.4%
사 54
 
3.0%
이 53
 
2.9%
자 47
 
2.6%
드 47
 
2.6%
코 40
 
2.2%
로 35
 
1.9%
용 35
 
1.9%
부 30
 
1.6%
아 30
 
1.6%
Other values (241) 1388
76.2%
ASCII
ValueCountFrequency (%)
16
29.1%
I 7
12.7%
C 6
 
10.9%
P 5
 
9.1%
S 5
 
9.1%
L 4
 
7.3%
U 2
 
3.6%
R 2
 
3.6%
D 2
 
3.6%
M 2
 
3.6%
Other values (4) 4
 
7.3%

개인정보 유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
해당없음
363 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 363
100.0%

Length

2023-12-13T00:24:55.389019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:24:55.499806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 363
100.0%

공개_비공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
공개
363 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 363
100.0%

Length

2023-12-13T00:24:55.628370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:24:55.777618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 363
100.0%

Correlations

2023-12-13T00:24:55.860105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도메인인포타입데이터타입
도메인1.0001.0000.934
인포타입1.0001.0001.000
데이터타입0.9341.0001.000
2023-12-13T00:24:55.977202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도메인데이터타입
도메인1.0000.481
데이터타입0.4811.000
2023-12-13T00:24:56.086056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도메인데이터타입
도메인1.0000.481
데이터타입0.4811.000

Missing values

2023-12-13T00:24:51.255395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:24:51.422085image/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

용어명물리명도메인인포타입데이터타입코드명정의개인정보 유형공개_비공개여부
0충전등록CHARGE_REGIST일일_VC8VARCHAR(8)<NA>충전등록해당없음공개
1프로젝트계약일PROJECT_COMDAY일일_VC8VARCHAR(8)<NA>프로젝트계약일해당없음공개
2프로젝트준공일PROJECT_FINALDAY일일_VC8VARCHAR(8)<NA>프로젝트준공일해당없음공개
3지사활동명PROGRAM_NM명명_VC100VARCHAR(100)<NA>지사활동명해당없음공개
4낙찰업체CONTRACT_COMP명명_VC100VARCHAR(100)<NA>낙찰업체해당없음공개
5설명회장소EXPLAIN_TS명명_VC100VARCHAR(100)<NA>설명회장소해당없음공개
6파일명FILE_NM명명_VC100VARCHAR(100)<NA>파일명해당없음공개
7입찰공고명TENDER_NM명명_VC100VARCHAR(100)<NA>입찰공고명해당없음공개
8공사실적발주처OUTWORK_ORDER명명_VC100VARCHAR(100)<NA>공사실적발주처해당없음공개
9등록이름REG_NAME명명_VC100VARCHAR(100)<NA>등록이름해당없음공개
용어명물리명도메인인포타입데이터타입코드명정의개인정보 유형공개_비공개여부
353주소ADDR주소주소_VC255VARCHAR(255)<NA>주소해당없음공개
354채용공고순서R_SORT순서순서_CH1CHAR(1)<NA>채용공고순서해당없음공개
355순서SORT순서순서_CH1CHAR(1)<NA>순서해당없음공개
356행사구분E_SORT구분구분_VC50VARCHAR(50)<NA>행사구분해당없음공개
357약속프로젝트코드번호PROMINSECODE_NUM번호번호_IN18INTEGER(18)<NA>약속한 프로젝트코드의 번호해당없음공개
358비밀번호PASSWD번호번호_VC200VARCHAR(200)<NA>비밀번호해당없음공개
359우편번호ZIPCODE주소주소_VC6VARCHAR(6)<NA>우편번호해당없음공개
360프로젝트제목PROJECT_TITLE제목제목_VC400VARCHAR(400)<NA>프로젝트제목해당없음공개
361채용공고제목R_TITLE제목제목_VC200VARCHAR(200)<NA>채용공고제목해당없음공개
362제목TITLE제목제목_VC200VARCHAR(200)<NA>제목해당없음공개