Overview

Dataset statistics

Number of variables6
Number of observations232
Missing cells0
Missing cells (%)0.0%
Duplicate rows3
Duplicate rows (%)1.3%
Total size in memory11.0 KiB
Average record size in memory48.6 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

Alerts

Dataset has 3 (1.3%) duplicate rowsDuplicates

Reproduction

Analysis started2024-01-28 11:35:25.104206
Analysis finished2024-01-28 11:35:25.566570
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공사현장명
Text

Distinct221
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-28T20:35:25.721033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length33
Mean length23.633621
Min length5

Characters and Unicode

Total characters5483
Distinct characters261
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)90.5%

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 (%)
남동구 44
 
4.2%
석면해체제거공사 38
 
3.6%
석면해체공사 36
 
3.4%
공사 34
 
3.3%
중 30
 
2.9%
석면해체 25
 
2.4%
석면철거공사 22
 
2.1%
인천광역시 20
 
1.9%
인천 19
 
1.8%
철거공사 17
 
1.6%
Other values (455) 759
72.7%
2024-01-28T20:35:26.028083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
818
 
14.9%
공 252
 
4.6%
사 241
 
4.4%
석 232
 
4.2%
면 209
 
3.8%
동 191
 
3.5%
체 181
 
3.3%
해 180
 
3.3%
거 176
 
3.2%
1 132
 
2.4%
Other values (251) 2871
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3744
68.3%
Space Separator 818
 
14.9%
Decimal Number 673
 
12.3%
Other Punctuation 85
 
1.6%
Dash Punctuation 62
 
1.1%
Open Punctuation 39
 
0.7%
Close Punctuation 39
 
0.7%
Uppercase Letter 16
 
0.3%
Math Symbol 4
 
0.1%
Modifier Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 252
 
6.7%
사 241
 
6.4%
석 232
 
6.2%
면 209
 
5.6%
동 191
 
5.1%
체 181
 
4.8%
해 180
 
4.8%
거 176
 
4.7%
제 124
 
3.3%
구 84
 
2.2%
Other values (224) 1874
50.1%
Decimal Number
ValueCountFrequency (%)
1 132
19.6%
2 104
15.5%
3 75
11.1%
6 67
10.0%
4 63
9.4%
5 54
8.0%
9 51
 
7.6%
7 47
 
7.0%
8 43
 
6.4%
0 37
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 6
37.5%
A 4
25.0%
L 2
 
12.5%
D 1
 
6.2%
P 1
 
6.2%
I 1
 
6.2%
T 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 53
62.4%
· 17
 
20.0%
. 15
 
17.6%
Space Separator
ValueCountFrequency (%)
818
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3744
68.3%
Common 1722
31.4%
Latin 17
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 252
 
6.7%
사 241
 
6.4%
석 232
 
6.2%
면 209
 
5.6%
동 191
 
5.1%
체 181
 
4.8%
해 180
 
4.8%
거 176
 
4.7%
제 124
 
3.3%
구 84
 
2.2%
Other values (224) 1874
50.1%
Common
ValueCountFrequency (%)
818
47.5%
1 132
 
7.7%
2 104
 
6.0%
3 75
 
4.4%
6 67
 
3.9%
4 63
 
3.7%
- 62
 
3.6%
5 54
 
3.1%
, 53
 
3.1%
9 51
 
3.0%
Other values (9) 243
 
14.1%
Latin
ValueCountFrequency (%)
B 6
35.3%
A 4
23.5%
L 2
 
11.8%
D 1
 
5.9%
b 1
 
5.9%
P 1
 
5.9%
I 1
 
5.9%
T 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3743
68.3%
ASCII 1722
31.4%
None 17
 
0.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
818
47.5%
1 132
 
7.7%
2 104
 
6.0%
3 75
 
4.4%
6 67
 
3.9%
4 63
 
3.7%
- 62
 
3.6%
5 54
 
3.1%
, 53
 
3.1%
9 51
 
3.0%
Other values (16) 243
 
14.1%
Hangul
ValueCountFrequency (%)
공 252
 
6.7%
사 241
 
6.4%
석 232
 
6.2%
면 209
 
5.6%
동 191
 
5.1%
체 181
 
4.8%
해 180
 
4.8%
거 176
 
4.7%
제 124
 
3.3%
구 84
 
2.2%
Other values (223) 1873
50.0%
None
ValueCountFrequency (%)
· 17
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

작업장소재지
Text

Distinct214
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-28T20:35:26.222172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length53
Mean length38.875
Min length23

Characters and Unicode

Total characters9019
Distinct characters208
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

Unique198 ?
Unique (%)85.3%

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 235
 
17.2%
61
 
4.5%
고잔동 45
 
3.3%
구월동 36
 
2.6%
만수동 31
 
2.3%
간석동 28
 
2.0%
남촌동 16
 
1.2%
백범로 11
 
0.8%
21554)인천광역시 11
 
0.8%
정각로 11
 
0.8%
Other values (542) 883
64.5%
2024-01-28T20:35:26.508001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1139
 
12.6%
동 565
 
6.3%
( 500
 
5.5%
) 500
 
5.5%
1 460
 
5.1%
2 432
 
4.8%
구 317
 
3.5%
남 299
 
3.3%
5 293
 
3.2%
인 283
 
3.1%
Other values (198) 4231
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4395
48.7%
Decimal Number 2284
25.3%
Space Separator 1139
 
12.6%
Open Punctuation 500
 
5.5%
Close Punctuation 500
 
5.5%
Other Punctuation 137
 
1.5%
Dash Punctuation 61
 
0.7%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 565
 
12.9%
구 317
 
7.2%
남 299
 
6.8%
인 283
 
6.4%
천 257
 
5.8%
시 244
 
5.6%
광 243
 
5.5%
역 242
 
5.5%
로 238
 
5.4%
번 119
 
2.7%
Other values (178) 1588
36.1%
Decimal Number
ValueCountFrequency (%)
1 460
20.1%
2 432
18.9%
5 293
12.8%
6 211
9.2%
3 199
8.7%
4 184
 
8.1%
9 146
 
6.4%
0 129
 
5.6%
7 122
 
5.3%
8 108
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 131
95.6%
. 5
 
3.6%
: 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
1139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 500
100.0%
Close Punctuation
ValueCountFrequency (%)
) 500
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4622
51.2%
Hangul 4395
48.7%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 565
 
12.9%
구 317
 
7.2%
남 299
 
6.8%
인 283
 
6.4%
천 257
 
5.8%
시 244
 
5.6%
광 243
 
5.5%
역 242
 
5.5%
로 238
 
5.4%
번 119
 
2.7%
Other values (178) 1588
36.1%
Common
ValueCountFrequency (%)
1139
24.6%
( 500
10.8%
) 500
10.8%
1 460
10.0%
2 432
 
9.3%
5 293
 
6.3%
6 211
 
4.6%
3 199
 
4.3%
4 184
 
4.0%
9 146
 
3.2%
Other values (8) 558
12.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4624
51.3%
Hangul 4395
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1139
24.6%
( 500
10.8%
) 500
10.8%
1 460
9.9%
2 432
 
9.3%
5 293
 
6.3%
6 211
 
4.6%
3 199
 
4.3%
4 184
 
4.0%
9 146
 
3.2%
Other values (10) 560
12.1%
Hangul
ValueCountFrequency (%)
동 565
 
12.9%
구 317
 
7.2%
남 299
 
6.8%
인 283
 
6.4%
천 257
 
5.8%
시 244
 
5.6%
광 243
 
5.5%
역 242
 
5.5%
로 238
 
5.4%
번 119
 
2.7%
Other values (178) 1588
36.1%

해체제거업자사업체명
Text

Distinct108
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-28T20:35:26.699639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length13
Mean length8.1681034
Min length2

Characters and Unicode

Total characters1895
Distinct characters207
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)27.6%

Sample

1st row태인건설주식회사
2nd row(주)베스트석면
3rd row(주)베스트석면
4th row(주)더조은환경
5th row주식회사로얄이엔씨
ValueCountFrequency (%)
주)미래환경산업 15
 
6.0%
주)베스트석면 10
 
4.0%
주)새움 9
 
3.6%
주)삼도건설 9
 
3.6%
주식회사로얄이엔씨 7
 
2.8%
주)삼육오석면관리 7
 
2.8%
주）비젼환경산업 6
 
2.4%
철거인 5
 
2.0%
케이비산업개발 5
 
2.0%
주)삼육오컴퍼니 5
 
2.0%
Other values (112) 174
69.0%
2024-01-28T20:35:26.985720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 181
 
9.6%
( 123
 
6.5%
) 117
 
6.2%
경 61
 
3.2%
환 59
 
3.1%
사 57
 
3.0%
업 57
 
3.0%
회 56
 
3.0%
식 55
 
2.9%
산 53
 
2.8%
Other values (197) 1076
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1573
83.0%
Open Punctuation 125
 
6.6%
Close Punctuation 125
 
6.6%
Decimal Number 31
 
1.6%
Space Separator 20
 
1.1%
Uppercase Letter 11
 
0.6%
Dash Punctuation 5
 
0.3%
Other Punctuation 4
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 181
 
11.5%
경 61
 
3.9%
환 59
 
3.8%
사 57
 
3.6%
업 57
 
3.6%
회 56
 
3.6%
식 55
 
3.5%
산 53
 
3.4%
이 44
 
2.8%
건 41
 
2.6%
Other values (168) 909
57.8%
Decimal Number
ValueCountFrequency (%)
1 8
25.8%
9 6
19.4%
6 5
16.1%
4 3
 
9.7%
8 2
 
6.5%
2 2
 
6.5%
3 2
 
6.5%
7 1
 
3.2%
0 1
 
3.2%
5 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
18.2%
I 2
18.2%
P 1
9.1%
V 1
9.1%
D 1
9.1%
A 1
9.1%
B 1
9.1%
C 1
9.1%
N 1
9.1%
Other Punctuation
ValueCountFrequency (%)
/ 2
50.0%
, 1
25.0%
. 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 123
98.4%
（ 2
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 117
93.6%
） 8
 
6.4%
Space Separator
ValueCountFrequency (%)
20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1574
83.1%
Common 310
 
16.4%
Latin 11
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 181
 
11.5%
경 61
 
3.9%
환 59
 
3.7%
사 57
 
3.6%
업 57
 
3.6%
회 56
 
3.6%
식 55
 
3.5%
산 53
 
3.4%
이 44
 
2.8%
건 41
 
2.6%
Other values (169) 910
57.8%
Common
ValueCountFrequency (%)
( 123
39.7%
) 117
37.7%
20
 
6.5%
1 8
 
2.6%
） 8
 
2.6%
9 6
 
1.9%
6 5
 
1.6%
- 5
 
1.6%
4 3
 
1.0%
8 2
 
0.6%
Other values (9) 13
 
4.2%
Latin
ValueCountFrequency (%)
S 2
18.2%
I 2
18.2%
P 1
9.1%
V 1
9.1%
D 1
9.1%
A 1
9.1%
B 1
9.1%
C 1
9.1%
N 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1573
83.0%
ASCII 311
 
16.4%
None 11
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 181
 
11.5%
경 61
 
3.9%
환 59
 
3.8%
사 57
 
3.6%
업 57
 
3.6%
회 56
 
3.6%
식 55
 
3.5%
산 53
 
3.4%
이 44
 
2.8%
건 41
 
2.6%
Other values (168) 909
57.8%
ASCII
ValueCountFrequency (%)
( 123
39.5%
) 117
37.6%
20
 
6.4%
1 8
 
2.6%
9 6
 
1.9%
6 5
 
1.6%
- 5
 
1.6%
4 3
 
1.0%
8 2
 
0.6%
S 2
 
0.6%
Other values (16) 20
 
6.4%
None
ValueCountFrequency (%)
） 8
72.7%
（ 2
 
18.2%
㈜ 1
 
9.1%

해체시작연월일
Date

Distinct182
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2020-12-11 00:00:00
Maximum2023-04-26 00:00:00
2024-01-28T20:35:27.092270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:35:27.431070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

해체종료연월일
Date

Distinct165
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2020-01-07 00:00:00
Maximum2023-08-31 00:00:00
2024-01-28T20:35:27.542982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:35:27.651884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제거 면적(제곱미터)
Text

Distinct224
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-01-28T20:35:27.869354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length35
Mean length14.211207
Min length5

Characters and Unicode

Total characters3297
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)93.1%

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 (%)
천장재 197
32.8%
지붕재 25
 
4.2%
벽재 8
 
1.3%
18.46 2
 
0.3%
2 2
 
0.3%
88.34 2
 
0.3%
7.2 2
 
0.3%
기타 2
 
0.3%
14.88+기타 2
 
0.3%
39.6+개스킷 2
 
0.3%
Other values (342) 357
59.4%
2024-01-28T20:35:28.198396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
369
 
11.2%
재 332
 
10.1%
. 310
 
9.4%
1 218
 
6.6%
천 202
 
6.1%
장 202
 
6.1%
2 179
 
5.4%
8 152
 
4.6%
3 150
 
4.5%
6 150
 
4.5%
Other values (19) 1033
31.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1475
44.7%
Other Letter 1005
30.5%
Space Separator 369
 
11.2%
Other Punctuation 310
 
9.4%
Math Symbol 138
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 332
33.0%
천 202
20.1%
장 202
20.1%
벽 80
 
8.0%
지 49
 
4.9%
붕 49
 
4.9%
타 19
 
1.9%
기 19
 
1.9%
스 16
 
1.6%
킷 16
 
1.6%
Other values (6) 21
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 218
14.8%
2 179
12.1%
8 152
10.3%
3 150
10.2%
6 150
10.2%
4 144
9.8%
5 140
9.5%
7 128
8.7%
9 116
7.9%
0 98
6.6%
Space Separator
ValueCountFrequency (%)
369
100.0%
Other Punctuation
ValueCountFrequency (%)
. 310
100.0%
Math Symbol
ValueCountFrequency (%)
+ 138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2292
69.5%
Hangul 1005
30.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 332
33.0%
천 202
20.1%
장 202
20.1%
벽 80
 
8.0%
지 49
 
4.9%
붕 49
 
4.9%
타 19
 
1.9%
기 19
 
1.9%
스 16
 
1.6%
킷 16
 
1.6%
Other values (6) 21
 
2.1%
Common
ValueCountFrequency (%)
369
16.1%
. 310
13.5%
1 218
9.5%
2 179
7.8%
8 152
6.6%
3 150
6.5%
6 150
6.5%
4 144
 
6.3%
5 140
 
6.1%
+ 138
 
6.0%
Other values (3) 342
14.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2292
69.5%
Hangul 1005
30.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
369
16.1%
. 310
13.5%
1 218
9.5%
2 179
7.8%
8 152
6.6%
3 150
6.5%
6 150
6.5%
4 144
 
6.3%
5 140
 
6.1%
+ 138
 
6.0%
Other values (3) 342
14.9%
Hangul
ValueCountFrequency (%)
재 332
33.0%
천 202
20.1%
장 202
20.1%
벽 80
 
8.0%
지 49
 
4.9%
붕 49
 
4.9%
타 19
 
1.9%
기 19
 
1.9%
스 16
 
1.6%
킷 16
 
1.6%
Other values (6) 21
 
2.1%

Missing values

2024-01-28T20:35:25.453912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:35:25.533098image/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)
222인천시 남동구 고잔동 86-6, 11 석면해체제거공사(21678)인천광역시 남동구 청능대로 534번길 23(고잔동) 고잔동 86-6, 11고잔동 86-6 , 11 건물2023-04-052023-04-30벽재 183+지붕재 592.83+기타 6.09
223고잔동 679-4, 2층 일부 석면해체공사(제이에이치연구소)(21695)인천광역시 남동구 남동서로 127(고잔동) (고잔동 679-4)고잔동 679-42023-04-052023-04-20천장재 430.8
224은청로 92 석면해체제거 공사(21644)인천광역시 남동구 은청로 92 (고잔동) (고잔동)은청로 922023-04-072023-05-06천장재 185.29+벽재 30.24
225인천여상 외 1교 BTL 철거공사(21551)인천광역시 남동구 구월로115번길 36(간석동)인천예술고등학교2023-04-112023-05-15천장재 6250.22+벽재 74.88+기타 152.95
226본관4층 보건의료정책과 등 석면해체제거 공사(21554)인천광역시 남동구 정각로 29(구월동) 4층인천광역시청2023-04-132023-05-02천장재 87.5+벽재 111.9
227인천시 남동구 남촌동609-10소재 (주)송현테크 공장 지상1,2층 석면텍스 석면해체제거공사(21635)인천광역시 남동구 남동대로410번길 7 (남촌동) 남촌동 609-10(주)송현테크2023-04-132023-05-11천장재 162
228구월동 1123-2 석면해체공사(21569)인천광역시 남동구 인주대로 556 (구월동) (구월동 1123-2)VIPS2023-04-192023-04-30천장재 749+벽재 0.7
229구월로276번길 40 석면해체 . 제거공사(21534)인천광역시 남동구 구월로276번길 40 (구월동) 구월동1264-46구월동1264-462023-04-242023-05-24천장재 129.65
230남동서로330번길 46, B동 석면해체제거공사(21630)인천광역시 남동구 남동서로330번길 46 (남촌동) (남촌동)B동2023-04-252023-05-24천장재 201.75
231인천 남동구 만수동 109-133 석면해체공사(21520)인천광역시 남동구 만수서로37번길 35 (만수동) 2층만수동 109-1332023-04-262023-05-15천장재 66

Duplicate rows

Most frequently occurring

공사현장명작업장소재지해체제거업자사업체명해체시작연월일해체종료연월일제거 면적(제곱미터)# duplicates
0고잔동 공장 석면철거공사(21643)인천광역시 남동구 청능대로 361(고잔동) 주식회사 석촌도자기주식회사서울디자인2022-03-292022-03-30천장재 468+벽재 182
1교사1,2동 건축물 철거전 석면해체제거공사(21550)인천광역시 남동구 석산로141번길 29(간석동) 상인천초등학교상인천초등학교2023-01-162023-02-20천장재 4376.15+개스킷 0.152
2석정여고 교사동 석면철거공사(21503)인천광역시 남동구 방축로469번길 27(간석동) 석정여자고등학교주식회사 코리아환경개발2022-12-122023-02-21천장재 7541.2+벽재 18.462