Overview

Dataset statistics

Number of variables10
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory85.8 B

Variable types

Categorical3
Text4
DateTime2
Numeric1

Dataset

Description한국지역난방공사에서 시행한 도로굴착공사정보입니다. (지역구분, 시행연도, 지사, 공사위치, 공사명, 공사업체, 공사기간시작, 공사기간종료, 배관길이, 단위)
Author한국지역난방공사
URLhttps://www.data.go.kr/data/15044207/fileData.do

Alerts

단위 has constant value ""Constant
공사명 has unique valuesUnique
배관길이 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:30:50.187864
Analysis finished2023-12-12 09:30:51.098999
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역구분
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
기존
31 
신규
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기존 31
88.6%
신규 4
 
11.4%

Length

2023-12-12T18:30:51.195162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:30:51.307987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기존 31
88.6%
신규 4
 
11.4%

시행연도
Categorical

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2022
20 
2021
8 
2020
6 
2018
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row2020
2nd row2021
3rd row2021
4th row2020
5th row2021

Common Values

ValueCountFrequency (%)
2022 20
57.1%
2021 8
 
22.9%
2020 6
 
17.1%
2018 1
 
2.9%

Length

2023-12-12T18:30:51.439333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:30:51.612660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 20
57.1%
2021 8
 
22.9%
2020 6
 
17.1%
2018 1
 
2.9%

지사
Text

Distinct19
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T18:30:51.812149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.1714286
Min length2

Characters and Unicode

Total characters76
Distinct characters34
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

Unique11 ?
Unique (%)31.4%

Sample

1st row평택
2nd row광교
3rd row삼송
4th row대구
5th row청주
ValueCountFrequency (%)
고양 5
14.3%
분당 4
11.4%
평택 3
 
8.6%
강남 3
 
8.6%
용인 3
 
8.6%
중앙 2
 
5.7%
청주 2
 
5.7%
수원 2
 
5.7%
양산 1
 
2.9%
판교 1
 
2.9%
Other values (9) 9
25.7%
2023-12-12T18:30:52.237919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 7
 
9.2%
고 5
 
6.6%
분 4
 
5.3%
당 4
 
5.3%
남 4
 
5.3%
주 4
 
5.3%
평 3
 
3.9%
택 3
 
3.9%
강 3
 
3.9%
용 3
 
3.9%
Other values (24) 36
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 7
 
9.2%
고 5
 
6.6%
분 4
 
5.3%
당 4
 
5.3%
남 4
 
5.3%
주 4
 
5.3%
평 3
 
3.9%
택 3
 
3.9%
강 3
 
3.9%
용 3
 
3.9%
Other values (24) 36
47.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 7
 
9.2%
고 5
 
6.6%
분 4
 
5.3%
당 4
 
5.3%
남 4
 
5.3%
주 4
 
5.3%
평 3
 
3.9%
택 3
 
3.9%
강 3
 
3.9%
용 3
 
3.9%
Other values (24) 36
47.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 7
 
9.2%
고 5
 
6.6%
분 4
 
5.3%
당 4
 
5.3%
남 4
 
5.3%
주 4
 
5.3%
평 3
 
3.9%
택 3
 
3.9%
강 3
 
3.9%
용 3
 
3.9%
Other values (24) 36
47.4%

공사위치
Text

Distinct23
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T18:30:52.478275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length22
Mean length15.171429
Min length10

Characters and Unicode

Total characters531
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)45.7%

Sample

1st row경기도 평택시 일원
2nd row경기도 수원시 및 용인시 일원
3rd row서울특별시 은평구, 경기도 고양시 일원
4th row대구광역시 달서구, 서구 일원
5th row충청북도 청주시 일원
ValueCountFrequency (%)
일원 35
25.2%
경기도 23
16.5%
고양시 6
 
4.3%
서울특별시 6
 
4.3%
용인시 5
 
3.6%
성남시 5
 
3.6%
서초구 4
 
2.9%
화성시 4
 
2.9%
및 3
 
2.2%
수원시 3
 
2.2%
Other values (26) 45
32.4%
2023-12-12T18:30:52.951864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
104
19.6%
시 43
 
8.1%
원 38
 
7.2%
일 35
 
6.6%
구 32
 
6.0%
도 29
 
5.5%
기 26
 
4.9%
경 25
 
4.7%
, 20
 
3.8%
서 13
 
2.4%
Other values (52) 166
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 407
76.6%
Space Separator 104
 
19.6%
Other Punctuation 20
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 43
 
10.6%
원 38
 
9.3%
일 35
 
8.6%
구 32
 
7.9%
도 29
 
7.1%
기 26
 
6.4%
경 25
 
6.1%
서 13
 
3.2%
남 11
 
2.7%
성 9
 
2.2%
Other values (50) 146
35.9%
Space Separator
ValueCountFrequency (%)
104
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 407
76.6%
Common 124
 
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 43
 
10.6%
원 38
 
9.3%
일 35
 
8.6%
구 32
 
7.9%
도 29
 
7.1%
기 26
 
6.4%
경 25
 
6.1%
서 13
 
3.2%
남 11
 
2.7%
성 9
 
2.2%
Other values (50) 146
35.9%
Common
ValueCountFrequency (%)
104
83.9%
, 20
 
16.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 407
76.6%
ASCII 124
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
104
83.9%
, 20
 
16.1%
Hangul
ValueCountFrequency (%)
시 43
 
10.6%
원 38
 
9.3%
일 35
 
8.6%
구 32
 
7.9%
도 29
 
7.1%
기 26
 
6.4%
경 25
 
6.1%
서 13
 
3.2%
남 11
 
2.7%
성 9
 
2.2%
Other values (50) 146
35.9%

공사명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T18:30:53.190462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length20.542857
Min length13

Characters and Unicode

Total characters719
Distinct characters77
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row평택 고덕지구 추가사용자 열수송관공사
2nd row2021년 광교지사 열수송관공사
3rd row2021년 삼송지사 열수송관공사
4th row2020년 대구지사 열수송망 추가사용자 및 성능보강공사
5th row2022년 청주지사 열수송관공사
ValueCountFrequency (%)
2022년 19
 
14.3%
열수송관공사 17
 
12.8%
열수송시설 9
 
6.8%
유지보수공사 9
 
6.8%
2021년 7
 
5.3%
열수송망 5
 
3.8%
및 4
 
3.0%
성능 4
 
3.0%
강남지사 3
 
2.3%
개선공사 3
 
2.3%
Other values (38) 53
39.8%
2023-12-12T18:30:53.563452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
13.6%
2 76
 
10.6%
사 68
 
9.5%
수 45
 
6.3%
공 35
 
4.9%
송 34
 
4.7%
지 34
 
4.7%
열 33
 
4.6%
0 28
 
3.9%
년 27
 
3.8%
Other values (67) 241
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 499
69.4%
Decimal Number 113
 
15.7%
Space Separator 98
 
13.6%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 68
 
13.6%
수 45
 
9.0%
공 35
 
7.0%
송 34
 
6.8%
지 34
 
6.8%
열 33
 
6.6%
년 27
 
5.4%
관 19
 
3.8%
보 14
 
2.8%
시 10
 
2.0%
Other values (57) 180
36.1%
Decimal Number
ValueCountFrequency (%)
2 76
67.3%
0 28
 
24.8%
1 7
 
6.2%
6 1
 
0.9%
5 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 499
69.4%
Common 220
30.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 68
 
13.6%
수 45
 
9.0%
공 35
 
7.0%
송 34
 
6.8%
지 34
 
6.8%
열 33
 
6.6%
년 27
 
5.4%
관 19
 
3.8%
보 14
 
2.8%
시 10
 
2.0%
Other values (57) 180
36.1%
Common
ValueCountFrequency (%)
98
44.5%
2 76
34.5%
0 28
 
12.7%
1 7
 
3.2%
) 3
 
1.4%
( 3
 
1.4%
. 2
 
0.9%
6 1
 
0.5%
, 1
 
0.5%
5 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 499
69.4%
ASCII 220
30.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
44.5%
2 76
34.5%
0 28
 
12.7%
1 7
 
3.2%
) 3
 
1.4%
( 3
 
1.4%
. 2
 
0.9%
6 1
 
0.5%
, 1
 
0.5%
5 1
 
0.5%
Hangul
ValueCountFrequency (%)
사 68
 
13.6%
수 45
 
9.0%
공 35
 
7.0%
송 34
 
6.8%
지 34
 
6.8%
열 33
 
6.6%
년 27
 
5.4%
관 19
 
3.8%
보 14
 
2.8%
시 10
 
2.0%
Other values (57) 180
36.1%

공사업체
Text

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T18:30:53.800669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.2857143
Min length5

Characters and Unicode

Total characters325
Distinct characters89
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)77.1%

Sample

1st row㈜웅남, ㈜엘케이 건설
2nd row㈜광장이엠씨
3rd row준에너지테크㈜, 대성물류건설㈜
4th row코오롱글로벌㈜
5th row㈜원나인건설
ValueCountFrequency (%)
주식회사 6
 
10.9%
석교플랜트 2
 
3.6%
㈜대우건설 2
 
3.6%
㈜엘케이 2
 
3.6%
건설 2
 
3.6%
준에너지테크㈜ 2
 
3.6%
대주이엔티㈜ 2
 
3.6%
대보건설㈜ 2
 
3.6%
㈜광장이엠씨 2
 
3.6%
㈜우림이앤씨 2
 
3.6%
Other values (30) 31
56.4%
2023-12-12T18:30:54.194066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 39
 
12.0%
20
 
6.2%
설 18
 
5.5%
건 18
 
5.5%
이 14
 
4.3%
, 11
 
3.4%
대 9
 
2.8%
지 8
 
2.5%
주 8
 
2.5%
엔 8
 
2.5%
Other values (79) 172
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 255
78.5%
Other Symbol 39
 
12.0%
Space Separator 20
 
6.2%
Other Punctuation 11
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 18
 
7.1%
건 18
 
7.1%
이 14
 
5.5%
대 9
 
3.5%
지 8
 
3.1%
주 8
 
3.1%
엔 8
 
3.1%
회 7
 
2.7%
사 7
 
2.7%
식 6
 
2.4%
Other values (76) 152
59.6%
Other Symbol
ValueCountFrequency (%)
㈜ 39
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
90.5%
Common 31
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 39
 
13.3%
설 18
 
6.1%
건 18
 
6.1%
이 14
 
4.8%
대 9
 
3.1%
지 8
 
2.7%
주 8
 
2.7%
엔 8
 
2.7%
회 7
 
2.4%
사 7
 
2.4%
Other values (77) 158
53.7%
Common
ValueCountFrequency (%)
20
64.5%
, 11
35.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 255
78.5%
None 39
 
12.0%
ASCII 31
 
9.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 39
100.0%
ASCII
ValueCountFrequency (%)
20
64.5%
, 11
35.5%
Hangul
ValueCountFrequency (%)
설 18
 
7.1%
건 18
 
7.1%
이 14
 
5.5%
대 9
 
3.5%
지 8
 
3.1%
주 8
 
3.1%
엔 8
 
3.1%
회 7
 
2.7%
사 7
 
2.7%
식 6
 
2.4%
Other values (76) 152
59.6%

공사기간시작
Date

Distinct30
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2022-03-04 00:00:00
Maximum2022-12-24 00:00:00
2023-12-12T18:30:54.340465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:54.471218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

공사기간종료
Date

Distinct27
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2022-01-12 00:00:00
Maximum2024-08-05 00:00:00
2023-12-12T18:30:54.608688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:30:55.102168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

배관길이
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8900.2286
Minimum846
Maximum42452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T18:30:55.247169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum846
5-th percentile1527.4
Q12743
median5046
Q39212
95-th percentile36252
Maximum42452
Range41606
Interquartile range (IQR)6469

Descriptive statistics

Standard deviation10480.858
Coefficient of variation (CV)1.1775943
Kurtosis4.1803175
Mean8900.2286
Median Absolute Deviation (MAD)2720
Skewness2.2077921
Sum311508
Variance1.0984839 × 108
MonotonicityNot monotonic
2023-12-12T18:30:55.388927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
7592 1
 
2.9%
2698 1
 
2.9%
5046 1
 
2.9%
9896 1
 
2.9%
4334 1
 
2.9%
4870 1
 
2.9%
8978 1
 
2.9%
5956 1
 
2.9%
25968 1
 
2.9%
37442 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
846 1
2.9%
1246 1
2.9%
1648 1
2.9%
1710 1
2.9%
1928 1
2.9%
2004 1
2.9%
2484 1
2.9%
2522 1
2.9%
2698 1
2.9%
2788 1
2.9%
ValueCountFrequency (%)
42452 1
2.9%
37442 1
2.9%
35742 1
2.9%
25968 1
2.9%
15322 1
2.9%
15164 1
2.9%
9928 1
2.9%
9896 1
2.9%
9446 1
2.9%
8978 1
2.9%

단위
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
m
35 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
m 35
100.0%

Length

2023-12-12T18:30:55.530504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:30:55.638391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 35
100.0%

Interactions

2023-12-12T18:30:50.645799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:30:55.718681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역구분시행연도지사공사위치공사명공사업체공사기간시작공사기간종료배관길이
지역구분1.0000.6580.4320.7041.0000.1290.0001.0000.325
시행연도0.6581.0000.0000.5651.0000.9130.0000.9860.590
지사0.4320.0001.0000.9941.0000.9030.9380.7390.000
공사위치0.7040.5650.9941.0001.0000.8750.9070.7660.604
공사명1.0001.0001.0001.0001.0001.0001.0001.0001.000
공사업체0.1290.9130.9030.8751.0001.0000.6340.9680.980
공사기간시작0.0000.0000.9380.9071.0000.6341.0000.8750.943
공사기간종료1.0000.9860.7390.7661.0000.9680.8751.0000.985
배관길이0.3250.5900.0000.6041.0000.9800.9430.9851.000
2023-12-12T18:30:55.849077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역구분시행연도
지역구분1.0000.445
시행연도0.4451.000
2023-12-12T18:30:55.962578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배관길이지역구분시행연도
배관길이1.0000.3250.430
지역구분0.3251.0000.445
시행연도0.4300.4451.000

Missing values

2023-12-12T18:30:50.775306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:30:50.957644image/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

지역구분시행연도지사공사위치공사명공사업체공사기간시작공사기간종료배관길이단위
0기존2020평택경기도 평택시 일원평택 고덕지구 추가사용자 열수송관공사㈜웅남, ㈜엘케이 건설2022-12-242022-09-237592m
1기존2021광교경기도 수원시 및 용인시 일원2021년 광교지사 열수송관공사㈜광장이엠씨2022-12-132022-03-132698m
2기존2021삼송서울특별시 은평구, 경기도 고양시 일원2021년 삼송지사 열수송관공사준에너지테크㈜, 대성물류건설㈜2022-12-092022-08-144474m
3기존2020대구대구광역시 달서구, 서구 일원2020년 대구지사 열수송망 추가사용자 및 성능보강공사코오롱글로벌㈜2022-12-072022-12-069446m
4기존2021청주충청북도 청주시 일원2022년 청주지사 열수송관공사㈜원나인건설2022-12-022022-10-023910m
5기존2020고양경기도 고양시 일원수도권 북부 열수송관 개선공사쌍용건설㈜2022-10-272022-04-2615322m
6기존2022강남서울특별시 강남구, 송파구 일원2022년 강남지사 추가 및 개선공사신한종합건설㈜2022-09-082022-05-273590m
7기존2022분당경기도 성남시 일원2022년 성남 본시가지 추가 및 성능 보강공사㈜광장이엠씨2022-08-242022-03-136474m
8기존2022평택경기도 평택시 일원2022년 평택지사 열수송관공사㈜우림이앤씨2022-08-232022-05-135466m
9기존2021고양경기도 고양시 일원2021년 고양사업소 열수송관공사신우엔지니어링㈜2022-08-102022-09-017766m
지역구분시행연도지사공사위치공사명공사업체공사기간시작공사기간종료배관길이단위
25기존2021강남서울특별시 강남구, 서초구, 송파구 일원2021년 강남지사 열수송관공사광진기업㈜2022-06-022022-01-255956m
26기존2020중앙서울특별시 영등포구, 용산구, 서초구 일원중앙지사 열수송망 성능 보강공사(2단계)㈜태영건설, 동아건설산업㈜2022-05-252022-05-2425968m
27기존2020고양경기도 고양시 일원고양사업소 열수송망 성능 보강공사(2단계)대보건설㈜, ㈜대흥종합건설2022-05-182022-05-1737442m
28기존2022동탄경기도 화성시 동탄신도시 일원2022년 동탄지사 열수송관공사대주이엔티㈜, ㈜문화지엔코2022-05-162022-11-154356m
29신규2022양산경상남도 양산시 사송지구 및 물금지구 일원2022년 양산지사 추가사용자 열수송관공사㈜엘케이 건설2022-05-132022-01-125582m
30기존2020분당경기도 성남시 분당구 일원분당사업소 열수송망 성능 보강공사(2단계)㈜대우건설, 대창기업㈜2022-05-122022-11-1342452m
31기존2022수원경기도 수원시 일원2022년 수원사업소 열수송관공사석교플랜트 주식회사2022-04-262022-12-268688m
32기존2022판교경기도 성남시 분당구 일원2022년 판교지사 열수송관공사㈜동양산업이엔지2022-04-212022-08-212788m
33신규2022세종세종특별자치시 일원세종지사 5, 6생활권 열수송관공사쌍용건설㈜2022-04-042022-04-0315164m
34신규2022고양경기도 고양시 일원고양장항지구 열수송관공사대보건설㈜, 계룡건설산업㈜2022-03-042022-06-039928m