Overview

Dataset statistics

Number of variables6
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory50.4 B

Variable types

Categorical2
Text4

Dataset

Description분야별 공사발주 현황을 제공합니다.기계분야 ,전기분야, 통신분야 ,소방분야의 각 공사 발주 건의 정보를 제공하는 데이터입니다..
Author대전광역시
URLhttps://www.data.go.kr/data/15081734/fileData.do

Alerts

분야 is highly overall correlated with 담당자High correlation
담당자 is highly overall correlated with 분야High correlation
공사명 has unique valuesUnique
공사비 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:31:42.438101
Analysis finished2023-12-12 09:31:42.969806
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분야
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
전기
22 
통신
13 
기계
10 
소방
9 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전기 22
40.7%
통신 13
24.1%
기계 10
18.5%
소방 9
16.7%

Length

2023-12-12T18:31:43.032673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:31:43.146931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기 22
40.7%
통신 13
24.1%
기계 10
18.5%
소방 9
16.7%

공사명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T18:31:43.357664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length23.055556
Min length12

Characters and Unicode

Total characters1245
Distinct characters123
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

Unique54 ?
Unique (%)100.0%

Sample

1st row대전 국제전시 컨벤션센터 건립 기계설비공사
2nd row도심형산업지원 플랫폼 건립 기계설비공사
3rd row시립미술관 개방형 수장고 건립 기계설비공사
4th row삼성119안전센터 신축 기계설비공사
5th row도시철도 1호선 현충원역 환승주차장 기계설비공사
ValueCountFrequency (%)
건립 16
 
6.8%
전기공사 13
 
5.5%
정보통신공사 11
 
4.6%
기계설비공사 10
 
4.2%
소방공사 9
 
3.8%
brt 7
 
3.0%
대전산업단지 6
 
2.5%
조성 6
 
2.5%
조성사업 5
 
2.1%
시내버스 4
 
1.7%
Other values (52) 150
63.3%
2023-12-12T18:31:43.731513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
13.2%
사 63
 
5.1%
공 63
 
5.1%
42
 
3.4%
전 37
 
3.0%
기 28
 
2.2%
신 27
 
2.2%
도 25
 
2.0%
지 24
 
1.9%
설 23
 
1.8%
Other values (113) 749
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 961
77.2%
Space Separator 164
 
13.2%
Control 42
 
3.4%
Decimal Number 31
 
2.5%
Uppercase Letter 21
 
1.7%
Close Punctuation 9
 
0.7%
Open Punctuation 9
 
0.7%
Math Symbol 6
 
0.5%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 63
 
6.6%
공 63
 
6.6%
전 37
 
3.9%
기 28
 
2.9%
신 27
 
2.8%
도 25
 
2.6%
지 24
 
2.5%
설 23
 
2.4%
시 22
 
2.3%
업 21
 
2.2%
Other values (100) 628
65.3%
Decimal Number
ValueCountFrequency (%)
1 20
64.5%
9 7
 
22.6%
4 2
 
6.5%
2 2
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
R 7
33.3%
B 7
33.3%
T 7
33.3%
Space Separator
ValueCountFrequency (%)
164
100.0%
Control
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 961
77.2%
Common 263
 
21.1%
Latin 21
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 63
 
6.6%
공 63
 
6.6%
전 37
 
3.9%
기 28
 
2.9%
신 27
 
2.8%
도 25
 
2.6%
지 24
 
2.5%
설 23
 
2.4%
시 22
 
2.3%
업 21
 
2.2%
Other values (100) 628
65.3%
Common
ValueCountFrequency (%)
164
62.4%
42
 
16.0%
1 20
 
7.6%
) 9
 
3.4%
( 9
 
3.4%
9 7
 
2.7%
~ 6
 
2.3%
- 2
 
0.8%
4 2
 
0.8%
2 2
 
0.8%
Latin
ValueCountFrequency (%)
R 7
33.3%
B 7
33.3%
T 7
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 961
77.2%
ASCII 284
 
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
57.7%
42
 
14.8%
1 20
 
7.0%
) 9
 
3.2%
( 9
 
3.2%
R 7
 
2.5%
B 7
 
2.5%
T 7
 
2.5%
9 7
 
2.5%
~ 6
 
2.1%
Other values (3) 6
 
2.1%
Hangul
ValueCountFrequency (%)
사 63
 
6.6%
공 63
 
6.6%
전 37
 
3.9%
기 28
 
2.9%
신 27
 
2.8%
도 25
 
2.6%
지 24
 
2.5%
설 23
 
2.4%
시 22
 
2.3%
업 21
 
2.2%
Other values (100) 628
65.3%

공사비
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T18:31:44.088068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length29.5
Mean length25.222222
Min length12

Characters and Unicode

Total characters1362
Distinct characters31
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row17,959백만원 (도급14,400 ,관급3,559)
2nd row1,554백만원 (도급 557, 관급 936, 분담금 61)
3rd row1,040백만원 (도급509, 관급 531)
4th row410백만원 (도급 177, 관급 213, 분담금 20)
5th row87백만원 (도급 26, 관급 1, 분담금 60)
ValueCountFrequency (%)
도급 50
 
17.0%
관급 42
 
14.3%
기타 20
 
6.8%
1 5
 
1.7%
분담금 4
 
1.4%
6 3
 
1.0%
40 3
 
1.0%
40백만원 2
 
0.7%
3 2
 
0.7%
136 2
 
0.7%
Other values (153) 161
54.8%
2023-12-12T18:31:44.706743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
16.1%
급 97
 
7.1%
, 91
 
6.7%
1 85
 
6.2%
백 54
 
4.0%
만 54
 
4.0%
원 54
 
4.0%
( 54
 
4.0%
도 54
 
4.0%
2 54
 
4.0%
Other values (21) 546
40.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 479
35.2%
Other Letter 420
30.8%
Space Separator 219
16.1%
Other Punctuation 91
 
6.7%
Open Punctuation 54
 
4.0%
Close Punctuation 54
 
4.0%
Control 45
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
급 97
23.1%
백 54
12.9%
만 54
12.9%
원 54
12.9%
도 54
12.9%
관 43
10.2%
기 21
 
5.0%
타 21
 
5.0%
분 4
 
1.0%
담 4
 
1.0%
Other values (6) 14
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 85
17.7%
2 54
11.3%
8 51
10.6%
5 47
9.8%
4 47
9.8%
3 45
9.4%
6 42
8.8%
7 40
8.4%
0 35
7.3%
9 33
 
6.9%
Space Separator
ValueCountFrequency (%)
219
100.0%
Other Punctuation
ValueCountFrequency (%)
, 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Control
ValueCountFrequency (%)
45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 942
69.2%
Hangul 420
30.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
급 97
23.1%
백 54
12.9%
만 54
12.9%
원 54
12.9%
도 54
12.9%
관 43
10.2%
기 21
 
5.0%
타 21
 
5.0%
분 4
 
1.0%
담 4
 
1.0%
Other values (6) 14
 
3.3%
Common
ValueCountFrequency (%)
219
23.2%
, 91
9.7%
1 85
 
9.0%
( 54
 
5.7%
2 54
 
5.7%
) 54
 
5.7%
8 51
 
5.4%
5 47
 
5.0%
4 47
 
5.0%
3 45
 
4.8%
Other values (5) 195
20.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 942
69.2%
Hangul 420
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
23.2%
, 91
9.7%
1 85
 
9.0%
( 54
 
5.7%
2 54
 
5.7%
) 54
 
5.7%
8 51
 
5.4%
5 47
 
5.0%
4 47
 
5.0%
3 45
 
4.8%
Other values (5) 195
20.7%
Hangul
ValueCountFrequency (%)
급 97
23.1%
백 54
12.9%
만 54
12.9%
원 54
12.9%
도 54
12.9%
관 43
10.2%
기 21
 
5.0%
타 21
 
5.0%
분 4
 
1.0%
담 4
 
1.0%
Other values (6) 14
 
3.3%

시공사
Text

Distinct51
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T18:31:45.005329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.1481481
Min length4

Characters and Unicode

Total characters386
Distinct characters100
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)92.6%

Sample

1st row계룡건설산업㈜
2nd row신양에너지(주)
3rd row㈜대경건설
4th row㈜환영이엔지
5th row㈜바이텍
ValueCountFrequency (%)
계룡건설산업㈜ 4
 
7.0%
㈜브이유텍 1
 
1.8%
㈜서광전기통신 1
 
1.8%
합)화랑전력 1
 
1.8%
㈜소평전력 1
 
1.8%
㈜충일전기 1
 
1.8%
㈜유현정보통신 1
 
1.8%
㈜두일정보통신 1
 
1.8%
㈜통우통신 1
 
1.8%
㈜수영개발산업 1
 
1.8%
Other values (44) 44
77.2%
2023-12-12T18:31:45.446491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 45
 
11.7%
44
 
11.4%
전 16
 
4.1%
이 15
 
3.9%
기 11
 
2.8%
신 9
 
2.3%
) 9
 
2.3%
( 9
 
2.3%
통 7
 
1.8%
산 7
 
1.8%
Other values (90) 214
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
71.5%
Other Symbol 45
 
11.7%
Space Separator 44
 
11.4%
Close Punctuation 9
 
2.3%
Open Punctuation 9
 
2.3%
Control 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 16
 
5.8%
이 15
 
5.4%
기 11
 
4.0%
신 9
 
3.3%
통 7
 
2.5%
산 7
 
2.5%
건 7
 
2.5%
에 7
 
2.5%
지 7
 
2.5%
주 7
 
2.5%
Other values (85) 183
66.3%
Other Symbol
ValueCountFrequency (%)
㈜ 45
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Control
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
83.2%
Common 65
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 45
 
14.0%
전 16
 
5.0%
이 15
 
4.7%
기 11
 
3.4%
신 9
 
2.8%
통 7
 
2.2%
산 7
 
2.2%
건 7
 
2.2%
에 7
 
2.2%
지 7
 
2.2%
Other values (86) 190
59.2%
Common
ValueCountFrequency (%)
44
67.7%
) 9
 
13.8%
( 9
 
13.8%
3
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
71.5%
ASCII 65
 
16.8%
None 45
 
11.7%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 45
100.0%
ASCII
ValueCountFrequency (%)
44
67.7%
) 9
 
13.8%
( 9
 
13.8%
3
 
4.6%
Hangul
ValueCountFrequency (%)
전 16
 
5.8%
이 15
 
5.4%
기 11
 
4.0%
신 9
 
3.3%
통 7
 
2.5%
산 7
 
2.5%
건 7
 
2.5%
에 7
 
2.5%
지 7
 
2.5%
주 7
 
2.5%
Other values (85) 183
66.3%

공사기간
Text

Distinct34
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-12T18:31:45.687845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters1134
Distinct characters16
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)44.4%

Sample

1st row'19.09.24.~'22.01.25.
2nd row‘19.12.30.~‘21.12.18.
3rd row‘20.12.23.~‘22.03.17.
4th row‘20.03.13.~‘21.03.12.
5th row‘20.04.07.~’21.02.04.
ValueCountFrequency (%)
19.09.24.~'22.01.25 4
 
7.4%
‘21.01.18.~’22.04.12 4
 
7.4%
‘20.12.23.~‘22.03.17 4
 
7.4%
‘21.01.19.~’22.02.12 4
 
7.4%
‘21.01.25.~’22.04.19 3
 
5.6%
‘20.03.23.~‘21.03.22 3
 
5.6%
‘18.04.26.~‘21.05.31 2
 
3.7%
‘20.02.14.~‘22.01.03 2
 
3.7%
‘20.12.10.~’21.08.06 2
 
3.7%
‘20.04.07.~’21.02.14 2
 
3.7%
Other values (24) 24
44.4%
2023-12-12T18:31:46.201886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 324
28.6%
2 200
17.6%
1 152
13.4%
0 147
13.0%
‘ 75
 
6.6%
~ 54
 
4.8%
3 31
 
2.7%
4 29
 
2.6%
9 27
 
2.4%
’ 22
 
1.9%
Other values (6) 73
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 648
57.1%
Other Punctuation 335
29.5%
Initial Punctuation 75
 
6.6%
Math Symbol 54
 
4.8%
Final Punctuation 22
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 200
30.9%
1 152
23.5%
0 147
22.7%
3 31
 
4.8%
4 29
 
4.5%
9 27
 
4.2%
7 18
 
2.8%
8 16
 
2.5%
5 14
 
2.2%
6 14
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 324
96.7%
' 10
 
3.0%
′ 1
 
0.3%
Initial Punctuation
ValueCountFrequency (%)
‘ 75
100.0%
Math Symbol
ValueCountFrequency (%)
~ 54
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1134
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 324
28.6%
2 200
17.6%
1 152
13.4%
0 147
13.0%
‘ 75
 
6.6%
~ 54
 
4.8%
3 31
 
2.7%
4 29
 
2.6%
9 27
 
2.4%
’ 22
 
1.9%
Other values (6) 73
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1036
91.4%
Punctuation 98
 
8.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 324
31.3%
2 200
19.3%
1 152
14.7%
0 147
14.2%
~ 54
 
5.2%
3 31
 
3.0%
4 29
 
2.8%
9 27
 
2.6%
7 18
 
1.7%
8 16
 
1.5%
Other values (3) 38
 
3.7%
Punctuation
ValueCountFrequency (%)
‘ 75
76.5%
’ 22
 
22.4%
′ 1
 
1.0%

담당자
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
김유석
8 
이정철
8 
임종대
7 
강홍림
5 
윤상범
5 
Other values (8)
21 

Length

Max length8
Median length3
Mean length3.1851852
Min length3

Unique

Unique2 ?
Unique (%)3.7%

Sample

1st row김유석
2nd row김유석
3rd row이정은
4th row강홍림
5th row강홍림

Common Values

ValueCountFrequency (%)
김유석 8
14.8%
이정철 8
14.8%
임종대 7
13.0%
강홍림 5
9.3%
윤상범 5
9.3%
정태룡 5
9.3%
정용남 4
7.4%
임홍열 3
 
5.6%
김유나 3
 
5.6%
이정은 2
 
3.7%
Other values (3) 4
7.4%

Length

2023-12-12T18:31:46.399402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김유석 9
16.1%
이정철 8
14.3%
임종대 7
12.5%
강홍림 6
10.7%
윤상범 5
8.9%
정태룡 5
8.9%
정용남 5
8.9%
김유나 4
7.1%
임홍열 3
 
5.4%
이정은 2
 
3.6%

Correlations

2023-12-12T18:31:46.497319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야공사명공사비시공사공사기간담당자
분야1.0001.0001.0000.0000.0000.901
공사명1.0001.0001.0001.0001.0001.000
공사비1.0001.0001.0001.0001.0001.000
시공사0.0001.0001.0001.0001.0000.977
공사기간0.0001.0001.0001.0001.0000.821
담당자0.9011.0001.0000.9770.8211.000
2023-12-12T18:31:47.006613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야담당자
분야1.0000.705
담당자0.7051.000
2023-12-12T18:31:47.114456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야담당자
분야1.0000.705
담당자0.7051.000

Missing values

2023-12-12T18:31:42.813645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:31:42.929634image/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

분야공사명공사비시공사공사기간담당자
0기계대전 국제전시 컨벤션센터 건립 기계설비공사17,959백만원 (도급14,400 ,관급3,559)계룡건설산업㈜'19.09.24.~'22.01.25.김유석
1기계도심형산업지원 플랫폼 건립 기계설비공사1,554백만원 (도급 557, 관급 936, 분담금 61)신양에너지(주)‘19.12.30.~‘21.12.18.김유석
2기계시립미술관 개방형 수장고 건립 기계설비공사1,040백만원 (도급509, 관급 531)㈜대경건설‘20.12.23.~‘22.03.17.이정은
3기계삼성119안전센터 신축 기계설비공사410백만원 (도급 177, 관급 213, 분담금 20)㈜환영이엔지‘20.03.13.~‘21.03.12.강홍림
4기계도시철도 1호선 현충원역 환승주차장 기계설비공사87백만원 (도급 26, 관급 1, 분담금 60)㈜바이텍‘20.04.07.~’21.02.04.강홍림
5기계119특수구조단 상시소방훈련시설 설치 기계설비공사40백만원 (도급 40)㈜정원산업개발‘20.12.10.~’21.08.06.김유석
6기계BRT 환승센터 (구암지구 시내버스 기점지) 조성 기계설비공사566백만원 (도급 259, 관급 289, 기타 18)㈜케이알멤버스‘21.01.19.~’22.02.12.김유석
7기계대전산업단지 청년창업 임대공장 건립 기계설비공사538백만원 (도급 136, 관급 391, 분담금 11)㈜한국테크‘21.01.18.~’22.04.12.강홍림
8기계반려동물공원 조성사업 기계설비공사581백만원 (도급 193, 관급 388)㈜온달‘21.01.25.~’22.04.19.강홍림
9기계홍도과선교 개량(지하화) 기계설비공사621백만원 (도급 129, 관급 492)㈜다인이엔씨‘19.02.11.~‘21.05.31.김유석
분야공사명공사비시공사공사기간담당자
44통신중앙로 신구 지하상가 연결 정보통신공사229백만원 (도급 96, 관급 133)㈜한기술‘20.09.11.~’21.11.04.정태룡
45소방대전 국제전시 컨벤션센터 건립 소방공사2,874백만원 (도급 2,874)계룡건설산업㈜'19.09.24.~'22.01.25.김유석
46소방도심형산업지원 플랫폼 건립 소방공사1,223백만원 (도급 1,223)㈜우진이엔씨'19.12.24.~'21.12.12.김유석
47소방시립미술관 개방형 수장고 건립 소방공사541백만원 (도급 541)대영소방㈜‘20.12.23.~‘22.03.17.이정은
48소방삼성119안전센터 신축 소방공사54백만원 (도급 54)㈜대신방재‘20.03.23.~‘21.03.22.정용남
49소방도시철도 1호선 현충원역 환승주차장 소방공사611백만원 (도급 611)㈜윤진엔지니어링‘20.04.20.~’21.02.26.강홍림
50소방119특수구조단 상시소방훈련시설 설치 소방공사18백만원 (도급 18)㈜태산전기‘20.12.10.~’21.08.06.김유석
51소방BRT 환승센터 (구암지구 시내버스 기점지) 조성 소방공사40백만원 (도급40)㈜서진전기‘21.01.19.~’22.02.12.윤상범
52소방대전산업단지 청년창업 임대공장 건립 소방공사184백만원 (도급 184)삼원소방(주)‘21.01.18.~’22.04.12.강홍림, 김유나
53소방중앙로 신구 지하상가 연결 소방공사859백만원(도급 859)㈜구룡전기‘20.10.29.~‘21.12.22.김유석, 정용남