Overview

Dataset statistics

Number of variables17
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory153.3 B

Variable types

Numeric1
Categorical15
Text1

Dataset

Description사업별 공공용지 채권보상현황을 아래와 같이 제공 합니다. 제공정보 - 사업종류,사업명,사업시행자,소재지,1년 채권보상_국채,1년 채권보상_회사채 등,2년 채권보상_국채,2년 채권보상_회사채 등,3년 채권보상_국채,3년 채권보상_회사채 등,4년 채권보상_국채,4년 채권보상_회사채 등,5년 채권보상_국채,5년 채권보상_회사채 등,기타_국채,기타_회사채 등
URLhttps://www.data.go.kr/data/15049038/fileData.do

Alerts

1년 채권보상_국채 has constant value ""Constant
1년 채권보상_회사채 등 has constant value ""Constant
2년 채권보상_국채 has constant value ""Constant
2년 채권보상_회사채 등 has constant value ""Constant
3년 채권보상_국채 has constant value ""Constant
3년 채권보상_회사채 등 has constant value ""Constant
4년 채권보상_국채 has constant value ""Constant
4년 채권보상_회사채 등 has constant value ""Constant
5년 채권보상_국채 has constant value ""Constant
5년 채권보상_회사채 등 has constant value ""Constant
기타_국채 has constant value ""Constant
기타_회사채 등 has constant value ""Constant
사업시행자 is highly overall correlated with 사업종류High correlation
사업종류 is highly overall correlated with 사업시행자High correlation
사업시행자 is highly imbalanced (52.4%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:41:49.360126
Analysis finished2023-12-12 10:41:50.515046
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T19:41:50.596362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-12T19:41:50.772839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

사업종류
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size380.0 B
상하수도
15 
기타
도로
산업단지

Length

Max length4
Median length4
Mean length2.9677419
Min length1

Unique

Unique1 ?
Unique (%)3.2%

Sample

1st row산업단지
2nd row기타
3rd row기타
4th row기타
5th row도로

Common Values

ValueCountFrequency (%)
상하수도 15
48.4%
기타 5
 
16.1%
도로 4
 
12.9%
4
 
12.9%
산업단지 2
 
6.5%
하천 1
 
3.2%

Length

2023-12-12T19:41:50.980875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:51.144130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상하수도 15
48.4%
기타 5
 
16.1%
도로 4
 
12.9%
4
 
12.9%
산업단지 2
 
6.5%
하천 1
 
3.2%
Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T19:41:51.497605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length27
Mean length19.806452
Min length11

Characters and Unicode

Total characters614
Distinct characters137
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)93.5%

Sample

1st row구미 하이테크밸리 개발사업
2nd row나주 노안지구 친수구역 조성사업
3rd row부산 에코델타시티 친수구역 조성사업
4th row부여 규암지구 친수구역 조성사업
5th row시화2단계(송산그린시티) 국도77호선 건설사업
ValueCountFrequency (%)
친수구역 3
 
3.0%
조성사업 3
 
3.0%
시화2단계(송산그린시티 3
 
3.0%
건설사업 3
 
3.0%
대청댐계통(ⅲ 2
 
2.0%
2
 
2.0%
용수공급사업 2
 
2.0%
국가산업단지 2
 
2.0%
개량사업 2
 
2.0%
노후관 2
 
2.0%
Other values (66) 75
75.8%
2023-12-12T19:41:52.086732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
11.4%
35
 
5.7%
32
 
5.2%
25
 
4.1%
17
 
2.8%
( 16
 
2.6%
) 16
 
2.6%
16
 
2.6%
12
 
2.0%
12
 
2.0%
Other values (127) 363
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 487
79.3%
Space Separator 70
 
11.4%
Open Punctuation 16
 
2.6%
Close Punctuation 16
 
2.6%
Decimal Number 12
 
2.0%
Uppercase Letter 9
 
1.5%
Letter Number 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
35
 
7.2%
32
 
6.6%
25
 
5.1%
17
 
3.5%
16
 
3.3%
12
 
2.5%
12
 
2.5%
11
 
2.3%
11
 
2.3%
10
 
2.1%
Other values (113) 306
62.8%
Uppercase Letter
ValueCountFrequency (%)
M 2
22.2%
T 2
22.2%
V 2
22.2%
P 1
11.1%
G 1
11.1%
R 1
11.1%
Decimal Number
ValueCountFrequency (%)
2 9
75.0%
7 2
 
16.7%
3 1
 
8.3%
Letter Number
ValueCountFrequency (%)
2
50.0%
2
50.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 487
79.3%
Common 114
 
18.6%
Latin 13
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
35
 
7.2%
32
 
6.6%
25
 
5.1%
17
 
3.5%
16
 
3.3%
12
 
2.5%
12
 
2.5%
11
 
2.3%
11
 
2.3%
10
 
2.1%
Other values (113) 306
62.8%
Latin
ValueCountFrequency (%)
2
15.4%
2
15.4%
M 2
15.4%
T 2
15.4%
V 2
15.4%
P 1
7.7%
G 1
7.7%
R 1
7.7%
Common
ValueCountFrequency (%)
70
61.4%
( 16
 
14.0%
) 16
 
14.0%
2 9
 
7.9%
7 2
 
1.8%
3 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 487
79.3%
ASCII 123
 
20.0%
Number Forms 4
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
56.9%
( 16
 
13.0%
) 16
 
13.0%
2 9
 
7.3%
M 2
 
1.6%
T 2
 
1.6%
7 2
 
1.6%
V 2
 
1.6%
P 1
 
0.8%
3 1
 
0.8%
Other values (2) 2
 
1.6%
Hangul
ValueCountFrequency (%)
35
 
7.2%
32
 
6.6%
25
 
5.1%
17
 
3.5%
16
 
3.3%
12
 
2.5%
12
 
2.5%
11
 
2.3%
11
 
2.3%
10
 
2.1%
Other values (113) 306
62.8%
Number Forms
ValueCountFrequency (%)
2
50.0%
2
50.0%

사업시행자
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size380.0 B
한국수자원공사
26 
환경부장관
부산국토관리청장
 
1

Length

Max length8
Median length7
Mean length6.7741935
Min length5

Unique

Unique1 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
한국수자원공사 26
83.9%
환경부장관 4
 
12.9%
부산국토관리청장 1
 
3.2%

Length

2023-12-12T19:41:52.273746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:52.412992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국수자원공사 26
83.9%
환경부장관 4
 
12.9%
부산국토관리청장 1
 
3.2%

소재지
Categorical

Distinct9
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
경기도
경북도
전남도
충남도
충북도
Other values (4)

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)9.7%

Sample

1st row경북도
2nd row전남도
3rd row부산시
4th row충남도
5th row경기도

Common Values

ValueCountFrequency (%)
경기도 9
29.0%
경북도 8
25.8%
전남도 4
12.9%
충남도 3
 
9.7%
충북도 2
 
6.5%
경남도 2
 
6.5%
부산시 1
 
3.2%
인천시 1
 
3.2%
전북도 1
 
3.2%

Length

2023-12-12T19:41:52.577177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:52.720308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 9
29.0%
경북도 8
25.8%
전남도 4
12.9%
충남도 3
 
9.7%
충북도 2
 
6.5%
경남도 2
 
6.5%
부산시 1
 
3.2%
인천시 1
 
3.2%
전북도 1
 
3.2%

1년 채권보상_국채
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:52.898146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:53.024130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

1년 채권보상_회사채 등
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:53.143185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:53.276921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

2년 채권보상_국채
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:53.400237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:53.523020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

2년 채권보상_회사채 등
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:53.654604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:53.781575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

3년 채권보상_국채
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:53.915770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:54.029573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

3년 채권보상_회사채 등
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:54.167270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:54.299642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

4년 채권보상_국채
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:54.446237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:54.601956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

4년 채권보상_회사채 등
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:54.762316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:54.921667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

5년 채권보상_국채
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:55.381021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:55.496011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

5년 채권보상_회사채 등
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:55.649913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:55.810167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

기타_국채
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:55.954204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:56.089094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

기타_회사채 등
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
0
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
100.0%

Length

2023-12-12T19:41:56.220840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:41:56.330902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
100.0%

Interactions

2023-12-12T19:41:49.841713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:41:56.415228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업종류사업명사업시행자소재지
순번1.0000.7311.0000.5320.727
사업종류0.7311.0001.0001.0000.000
사업명1.0001.0001.0001.0000.791
사업시행자0.5321.0001.0001.0000.000
소재지0.7270.0000.7910.0001.000
2023-12-12T19:41:56.553756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업시행자사업종류소재지
사업시행자1.0000.9450.000
사업종류0.9451.0000.000
소재지0.0000.0001.000
2023-12-12T19:41:56.669150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업종류사업시행자소재지
순번1.0000.4090.2650.398
사업종류0.4091.0000.9450.000
사업시행자0.2650.9451.0000.000
소재지0.3980.0000.0001.000

Missing values

2023-12-12T19:41:50.057316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:41:50.410550image/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

순번사업종류사업명사업시행자소재지1년 채권보상_국채1년 채권보상_회사채 등2년 채권보상_국채2년 채권보상_회사채 등3년 채권보상_국채3년 채권보상_회사채 등4년 채권보상_국채4년 채권보상_회사채 등5년 채권보상_국채5년 채권보상_회사채 등기타_국채기타_회사채 등
01산업단지구미 하이테크밸리 개발사업한국수자원공사경북도000000000000
12기타나주 노안지구 친수구역 조성사업한국수자원공사전남도000000000000
23기타부산 에코델타시티 친수구역 조성사업한국수자원공사부산시000000000000
34기타부여 규암지구 친수구역 조성사업한국수자원공사충남도000000000000
45도로시화2단계(송산그린시티) 국도77호선 건설사업한국수자원공사경기도000000000000
56산업단지시화2단계(송산그린시티) 개발사업한국수자원공사경기도000000000000
67도로시화2단계(송산그린시티) 남측지구 연결도로 건설사업한국수자원공사경기도000000000000
78도로반월특수지역개발구역 중 시화멀티테크노밸리(MTV) 해안로 확장사업(2차지역)한국수자원공사경기도000000000000
89도로반월특수지역개발구역 중 시화멀티테크노밸리(MTV) 산단로 확장사업한국수자원공사경기도000000000000
910한탄강 홍수조절댐건설사업환경부장관경기도000000000000
순번사업종류사업명사업시행자소재지1년 채권보상_국채1년 채권보상_회사채 등2년 채권보상_국채2년 채권보상_회사채 등3년 채권보상_국채3년 채권보상_회사채 등4년 채권보상_국채4년 채권보상_회사채 등5년 채권보상_국채5년 채권보상_회사채 등기타_국채기타_회사채 등
2122하천군위댐 직하류 하천정비공사부산국토관리청장경북도000000000000
2223영주다목적댐 건설사업환경부장관경북도000000000000
2324운문댐 안전성 강화사업 건설공사환경부장관경북도000000000000
2425상하수도창원공업용수도 관로시설 개량사업(2차)한국수자원공사경남도000000000000
2526상하수도포항블루밸리 국가산업단지 용수공급사업한국수자원공사경북도000000000000
2627상하수도포항공업용수도 노후관 개량사업한국수자원공사경북도000000000000
2728상하수도섬진강계통 광역상수도 복선화사업한국수자원공사전북도000000000000
2829상하수도금강광역상수도 시설물 개량공사한국수자원공사충남도000000000000
2930상하수도대청댐계통(Ⅲ) 광역상수도사업(2차)한국수자원공사충남도000000000000
3031상하수도대청댐계통(Ⅲ) 광역상수도사업(2차)한국수자원공사충북도000000000000