Overview

Dataset statistics

Number of variables6
Number of observations106
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory49.2 B

Variable types

Text4
DateTime2

Dataset

Description기준일자 최근 1년간 석면해체제거작업 현황(공사현장명, 소재지해체시작년월일, 해체종료년월일, 종류명, 부피면적길이)정보를 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3077635&srcSe=7661IVAWM27C61E190

Reproduction

Analysis started2024-01-28 11:35:41.990094
Analysis finished2024-01-28 11:35:42.801021
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct103
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size980.0 B
2024-01-28T20:35:42.961789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30.5
Mean length23.443396
Min length12

Characters and Unicode

Total characters2485
Distinct characters201
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)94.3%

Sample

1st row인천 주원초 석면철거공사
2nd row인천시 남동구 청능대로 305(고잔동) 석면해체.제거공사
3rd row만수5동 행정복지센터 기존건축물 석면해체공사
4th row인천광역시 남동구 고잔동 655-5 공장 철거공사 중 석면해체
5th row만성중학교 가동 방화구획 석면 해체, 제거 작업
ValueCountFrequency (%)
석면해체제거공사 24
 
5.0%
남동구 23
 
4.8%
17
 
3.5%
석면해체공사 16
 
3.3%
석면해체 12
 
2.5%
공사 11
 
2.3%
인천광역시 10
 
2.1%
고잔동 9
 
1.9%
철거공사 9
 
1.9%
인천 9
 
1.9%
Other values (239) 340
70.8%
2024-01-28T20:35:43.283867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
374
 
15.1%
107
 
4.3%
104
 
4.2%
103
 
4.1%
95
 
3.8%
94
 
3.8%
85
 
3.4%
84
 
3.4%
76
 
3.1%
1 61
 
2.5%
Other values (191) 1302
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1679
67.6%
Space Separator 374
 
15.1%
Decimal Number 327
 
13.2%
Other Punctuation 35
 
1.4%
Dash Punctuation 28
 
1.1%
Close Punctuation 17
 
0.7%
Open Punctuation 17
 
0.7%
Uppercase Letter 3
 
0.1%
Math Symbol 2
 
0.1%
Modifier Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
107
 
6.4%
104
 
6.2%
103
 
6.1%
95
 
5.7%
94
 
5.6%
85
 
5.1%
84
 
5.0%
76
 
4.5%
60
 
3.6%
45
 
2.7%
Other values (169) 826
49.2%
Decimal Number
ValueCountFrequency (%)
1 61
18.7%
2 51
15.6%
3 46
14.1%
6 35
10.7%
4 32
9.8%
5 25
7.6%
9 21
 
6.4%
0 20
 
6.1%
7 20
 
6.1%
8 16
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 24
68.6%
· 7
 
20.0%
. 4
 
11.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
374
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1679
67.6%
Common 802
32.3%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
107
 
6.4%
104
 
6.2%
103
 
6.1%
95
 
5.7%
94
 
5.6%
85
 
5.1%
84
 
5.0%
76
 
4.5%
60
 
3.6%
45
 
2.7%
Other values (169) 826
49.2%
Common
ValueCountFrequency (%)
374
46.6%
1 61
 
7.6%
2 51
 
6.4%
3 46
 
5.7%
6 35
 
4.4%
4 32
 
4.0%
- 28
 
3.5%
5 25
 
3.1%
, 24
 
3.0%
9 21
 
2.6%
Other values (9) 105
 
13.1%
Latin
ValueCountFrequency (%)
A 2
50.0%
b 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1679
67.6%
ASCII 799
32.2%
None 7
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
374
46.8%
1 61
 
7.6%
2 51
 
6.4%
3 46
 
5.8%
6 35
 
4.4%
4 32
 
4.0%
- 28
 
3.5%
5 25
 
3.1%
, 24
 
3.0%
9 21
 
2.6%
Other values (11) 102
 
12.8%
Hangul
ValueCountFrequency (%)
107
 
6.4%
104
 
6.2%
103
 
6.1%
95
 
5.7%
94
 
5.6%
85
 
5.1%
84
 
5.0%
76
 
4.5%
60
 
3.6%
45
 
2.7%
Other values (169) 826
49.2%
None
ValueCountFrequency (%)
· 7
100.0%
Distinct99
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size980.0 B
2024-01-28T20:35:43.499088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length46
Mean length37.490566
Min length23

Characters and Unicode

Total characters3974
Distinct characters170
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

Unique92 ?
Unique (%)86.8%

Sample

1st row(21506)인천광역시 남동구 주안로259번길 28 (간석동, 주원초등학교)
2nd row(21633)인천광역시 남동구 청능대로 305 (고잔동, 라인테크)
3rd row(21543)인천광역시 남동구 만경로28번길 3 (만수동, 만수5동 행정복지센터)
4th row(21687)인천광역시 남동구 앵고개로 659 (고잔동, (주)한성플랜지)
5th row(21541)인천광역시 남동구 인주대로 899 (만수동, 만성중학교)
ValueCountFrequency (%)
남동구 106
 
16.7%
44
 
6.9%
고잔동 26
 
4.1%
만수동 21
 
3.3%
구월동 20
 
3.1%
간석동 13
 
2.0%
남촌동 8
 
1.3%
논현동 6
 
0.9%
남동대로 5
 
0.8%
장수동 5
 
0.8%
Other values (267) 381
60.0%
2024-01-28T20:35:43.821608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
529
 
13.3%
230
 
5.8%
( 222
 
5.6%
) 222
 
5.6%
2 192
 
4.8%
1 186
 
4.7%
139
 
3.5%
131
 
3.3%
128
 
3.2%
5 124
 
3.1%
Other values (160) 1871
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1923
48.4%
Decimal Number 972
24.5%
Space Separator 529
 
13.3%
Open Punctuation 222
 
5.6%
Close Punctuation 222
 
5.6%
Other Punctuation 89
 
2.2%
Dash Punctuation 17
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
230
 
12.0%
139
 
7.2%
131
 
6.8%
128
 
6.7%
117
 
6.1%
112
 
5.8%
111
 
5.8%
110
 
5.7%
106
 
5.5%
50
 
2.6%
Other values (145) 689
35.8%
Decimal Number
ValueCountFrequency (%)
2 192
19.8%
1 186
19.1%
5 124
12.8%
3 89
9.2%
6 86
8.8%
4 73
 
7.5%
9 62
 
6.4%
0 61
 
6.3%
8 51
 
5.2%
7 48
 
4.9%
Space Separator
ValueCountFrequency (%)
529
100.0%
Open Punctuation
ValueCountFrequency (%)
( 222
100.0%
Close Punctuation
ValueCountFrequency (%)
) 222
100.0%
Other Punctuation
ValueCountFrequency (%)
, 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2051
51.6%
Hangul 1923
48.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
230
 
12.0%
139
 
7.2%
131
 
6.8%
128
 
6.7%
117
 
6.1%
112
 
5.8%
111
 
5.8%
110
 
5.7%
106
 
5.5%
50
 
2.6%
Other values (145) 689
35.8%
Common
ValueCountFrequency (%)
529
25.8%
( 222
10.8%
) 222
10.8%
2 192
 
9.4%
1 186
 
9.1%
5 124
 
6.0%
3 89
 
4.3%
, 89
 
4.3%
6 86
 
4.2%
4 73
 
3.6%
Other values (5) 239
11.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2051
51.6%
Hangul 1923
48.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
529
25.8%
( 222
10.8%
) 222
10.8%
2 192
 
9.4%
1 186
 
9.1%
5 124
 
6.0%
3 89
 
4.3%
, 89
 
4.3%
6 86
 
4.2%
4 73
 
3.6%
Other values (5) 239
11.7%
Hangul
ValueCountFrequency (%)
230
 
12.0%
139
 
7.2%
131
 
6.8%
128
 
6.7%
117
 
6.1%
112
 
5.8%
111
 
5.8%
110
 
5.7%
106
 
5.5%
50
 
2.6%
Other values (145) 689
35.8%
Distinct53
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size980.0 B
2024-01-28T20:35:44.019258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length8.4245283
Min length2

Characters and Unicode

Total characters893
Distinct characters116
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

Unique28 ?
Unique (%)26.4%

Sample

1st row태인건설주식회사
2nd row(주)베스트석면
3rd row(주)베스트석면
4th row(주)더조은환경
5th row주식회사로얄이엔씨
ValueCountFrequency (%)
주)미래환경산업 7
 
6.5%
주)비젼환경산업 6
 
5.6%
주)베스트석면 5
 
4.7%
주)삼육오석면관리 5
 
4.7%
주)삼도건설 5
 
4.7%
우석환경개발(주 4
 
3.7%
주)가가종합철거환경 4
 
3.7%
주식회사로얄이엔씨 4
 
3.7%
주)에이스석면 4
 
3.7%
프리마환경개발주식회사 3
 
2.8%
Other values (44) 60
56.1%
2024-01-28T20:35:44.300291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
11.0%
( 68
 
7.6%
) 62
 
6.9%
41
 
4.6%
40
 
4.5%
28
 
3.1%
27
 
3.0%
27
 
3.0%
25
 
2.8%
24
 
2.7%
Other values (106) 453
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 747
83.7%
Open Punctuation 70
 
7.8%
Close Punctuation 70
 
7.8%
Uppercase Letter 3
 
0.3%
Other Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
98
 
13.1%
41
 
5.5%
40
 
5.4%
28
 
3.7%
27
 
3.6%
27
 
3.6%
25
 
3.3%
24
 
3.2%
24
 
3.2%
23
 
3.1%
Other values (96) 390
52.2%
Uppercase Letter
ValueCountFrequency (%)
S 1
33.3%
N 1
33.3%
C 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 68
97.1%
2
 
2.9%
Close Punctuation
ValueCountFrequency (%)
) 62
88.6%
8
 
11.4%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 748
83.8%
Common 142
 
15.9%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
98
 
13.1%
41
 
5.5%
40
 
5.3%
28
 
3.7%
27
 
3.6%
27
 
3.6%
25
 
3.3%
24
 
3.2%
24
 
3.2%
23
 
3.1%
Other values (97) 391
52.3%
Common
ValueCountFrequency (%)
( 68
47.9%
) 62
43.7%
8
 
5.6%
2
 
1.4%
- 1
 
0.7%
1
 
0.7%
Latin
ValueCountFrequency (%)
S 1
33.3%
N 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 747
83.7%
ASCII 135
 
15.1%
None 11
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
98
 
13.1%
41
 
5.5%
40
 
5.4%
28
 
3.7%
27
 
3.6%
27
 
3.6%
25
 
3.3%
24
 
3.2%
24
 
3.2%
23
 
3.1%
Other values (96) 390
52.2%
ASCII
ValueCountFrequency (%)
( 68
50.4%
) 62
45.9%
S 1
 
0.7%
N 1
 
0.7%
C 1
 
0.7%
- 1
 
0.7%
1
 
0.7%
None
ValueCountFrequency (%)
8
72.7%
2
 
18.2%
1
 
9.1%
Distinct83
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum2020-12-11 00:00:00
Maximum2021-09-30 00:00:00
2024-01-28T20:35:44.406967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:35:44.515847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct76
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum2020-01-07 00:00:00
Maximum2021-11-15 00:00:00
2024-01-28T20:35:44.612425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:35:44.711448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct104
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size980.0 B
2024-01-28T20:35:44.979094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length45
Mean length16.981132
Min length8

Characters and Unicode

Total characters1800
Distinct characters27
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)96.2%

Sample

1st row천장재 113.76 ㎡
2nd row천장재 454.41 ㎡
3rd row천장재 459.3 ㎡, 기타 6.8 ㎡, 벽재 21 ㎡
4th row천장재 625 ㎡, 지붕재 3278 ㎡
5th row천장재 144 ㎡
ValueCountFrequency (%)
130
28.4%
천장재 94
20.5%
벽재 30
 
6.6%
지붕재 20
 
4.4%
기타 11
 
2.4%
개스킷 8
 
1.7%
207.48 2
 
0.4%
39.6 2
 
0.4%
14.88 2
 
0.4%
7.5 2
 
0.4%
Other values (153) 157
34.3%
2024-01-28T20:35:45.361638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
354
19.7%
164
 
9.1%
145
 
8.1%
. 134
 
7.4%
1 102
 
5.7%
94
 
5.2%
94
 
5.2%
2 78
 
4.3%
6 72
 
4.0%
4 64
 
3.6%
Other values (17) 499
27.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 639
35.5%
Other Letter 451
25.1%
Space Separator 354
19.7%
Other Punctuation 192
 
10.7%
Other Symbol 164
 
9.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
145
32.2%
94
20.8%
94
20.8%
30
 
6.7%
20
 
4.4%
20
 
4.4%
11
 
2.4%
11
 
2.4%
8
 
1.8%
8
 
1.8%
Other values (3) 10
 
2.2%
Decimal Number
ValueCountFrequency (%)
1 102
16.0%
2 78
12.2%
6 72
11.3%
4 64
10.0%
8 61
9.5%
3 58
9.1%
5 58
9.1%
7 55
8.6%
9 49
7.7%
0 42
6.6%
Other Punctuation
ValueCountFrequency (%)
. 134
69.8%
, 58
30.2%
Space Separator
ValueCountFrequency (%)
354
100.0%
Other Symbol
ValueCountFrequency (%)
164
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1349
74.9%
Hangul 451
 
25.1%

Most frequent character per script

Common
ValueCountFrequency (%)
354
26.2%
164
12.2%
. 134
 
9.9%
1 102
 
7.6%
2 78
 
5.8%
6 72
 
5.3%
4 64
 
4.7%
8 61
 
4.5%
3 58
 
4.3%
, 58
 
4.3%
Other values (4) 204
15.1%
Hangul
ValueCountFrequency (%)
145
32.2%
94
20.8%
94
20.8%
30
 
6.7%
20
 
4.4%
20
 
4.4%
11
 
2.4%
11
 
2.4%
8
 
1.8%
8
 
1.8%
Other values (3) 10
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1185
65.8%
Hangul 451
 
25.1%
CJK Compat 164
 
9.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
354
29.9%
. 134
 
11.3%
1 102
 
8.6%
2 78
 
6.6%
6 72
 
6.1%
4 64
 
5.4%
8 61
 
5.1%
3 58
 
4.9%
, 58
 
4.9%
5 58
 
4.9%
Other values (3) 146
12.3%
CJK Compat
ValueCountFrequency (%)
164
100.0%
Hangul
ValueCountFrequency (%)
145
32.2%
94
20.8%
94
20.8%
30
 
6.7%
20
 
4.4%
20
 
4.4%
11
 
2.4%
11
 
2.4%
8
 
1.8%
8
 
1.8%
Other values (3) 10
 
2.2%

Correlations

2024-01-28T20:35:45.444068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작업장소재지해체제거업자사업체명해체시작연월일해체종료연월일
작업장소재지1.0001.0000.9940.979
해체제거업자사업체명1.0001.0000.8310.950
해체시작연월일0.9940.8311.0000.000
해체종료연월일0.9790.9500.0001.000

Missing values

2024-01-28T20:35:42.692245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:35:42.769121image/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

공사현장명작업장소재지해체제거업자사업체명해체시작연월일해체종료연월일제거 면적(제곱미터)
0인천 주원초 석면철거공사(21506)인천광역시 남동구 주안로259번길 28 (간석동, 주원초등학교)태인건설주식회사2020-12-112020-12-30천장재 113.76 ㎡
1인천시 남동구 청능대로 305(고잔동) 석면해체.제거공사(21633)인천광역시 남동구 청능대로 305 (고잔동, 라인테크)(주)베스트석면2020-12-152020-01-07천장재 454.41 ㎡
2만수5동 행정복지센터 기존건축물 석면해체공사(21543)인천광역시 남동구 만경로28번길 3 (만수동, 만수5동 행정복지센터)(주)베스트석면2020-12-162020-01-08천장재 459.3 ㎡, 기타 6.8 ㎡, 벽재 21 ㎡
3인천광역시 남동구 고잔동 655-5 공장 철거공사 중 석면해체(21687)인천광역시 남동구 앵고개로 659 (고잔동, (주)한성플랜지)(주)더조은환경2020-12-162020-01-16천장재 625 ㎡, 지붕재 3278 ㎡
4만성중학교 가동 방화구획 석면 해체, 제거 작업(21541)인천광역시 남동구 인주대로 899 (만수동, 만성중학교)주식회사로얄이엔씨2021-01-012021-01-21천장재 144 ㎡
5인천광역시 남동구 고잔동 655-5 공장 철거공사 중 석면해체(21687)인천광역시 남동구 앵고개로 659 (고잔동, (주)한성플랜지)(주)더조은환경2020-12-162020-02-28천장재 625 ㎡, 지붕재 3278 ㎡
6청능대로339번길 10 건물 일부 리모델링 공사 중 석면해체 제거공사(21643)인천광역시 남동구 청능대로339번길 10 (고잔동, )유케이환경개발주식회사2021-01-052021-01-27천장재 106.37 ㎡, 벽재 21.76 ㎡
7남동대로425번길 31, 1동 6동 석면해체제거공사(21629)인천광역시 남동구 남동대로425번길 31 (남촌동, (주)디앤디)(주)미래환경산업2021-01-072021-02-05천장재 669.89 ㎡
8인천새말초 석면철거공사(21525)인천광역시 남동구 만수로50번길 12 (만수동, 새말초등학교)중양산업건설(주)2021-01-062021-02-28천장재 7448.31 ㎡, 개스킷 0.28 ㎡
9고잔동 690-2 공장동 2층 석면해체공사(21697)인천광역시 남동구 앵고개로 426 (고잔동, 천일식품제조(주))(주)서울산업컨설팅2021-01-082021-01-31천장재 132.5 ㎡
공사현장명작업장소재지해체제거업자사업체명해체시작연월일해체종료연월일제거 면적(제곱미터)
96천장 석면텍스해체제거공사(21539)인천광역시 남동구 하촌로 53 (만수동, 동명어린이집)국민SNC2021-09-022021-09-10천장재 704.92㎡
97남동대로 413, 1~2층 일부 석면해체`제거 공사(21629)인천광역시 남동구 남동대로 413 (남촌동, (주)듀링)(주)비젼환경산업2021-09-082021-10-14천장재 1983.054㎡
98백범로 132, 1층 일부 석면해체제거공사(21525)인천광역시 남동구 백범로 132 (만수동, 만수프라자)(주)미래환경산업2021-09-082021-09-24천장재 293.7㎡
99송수펌프동 내 석면텍스 철거등 기타공사(21529)인천광역시 남동구 백범로 26 (장수동 666)(주)엔에스플랜2021-09-152021-10-12천장재 403.2 ㎡, 벽재 7.5 ㎡, 기타 9㎡
100도시공사 본관 3,4층 인테리어공사(21591)인천광역시 남동구 인주대로914번길 42 인천도시공사 (만수동 1090)동연건설주식회사2021-09-012021-10-20천장재 695.1㎡
101창대장터상가(구 창대시장) 제3동 206호 석면해체공사(21591)인천광역시 남동구 장승로 17 (만수동, 창대장터상가)명신건설(주)2021-09-242021-10-15천장재 135㎡
102청능대로289번길 60 석면해체제거공사(21633)인천광역시 남동구 청능대로289번길 60 (고잔동, )(주)베스트석면2021-09-242021-10-08천장재 95.3㎡
103간석동 616-69번지 내부마감재 철거공사 중 석면해체(21501)인천광역시 남동구 석정로 483 (간석동, 주안정형외과)명신건설(주)2021-09-302021-11-15천장재 600.8㎡
104근생1층 석면해체,제거작업(21591)인천광역시 남동구 장승로 41 (만수동, )주식회사로얄이엔씨2021-09-292021-10-23천장재 175.6㎡
105인천광역시 남동구 호구포로 770(구월동), 지하 1층 석면해체·제거공사(21536)인천광역시 남동구 호구포로 770 (구월동)주식회사제이엘종합건설2021-09-302021-10-31천장재 98.4㎡