Overview

Dataset statistics

Number of variables9
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory76.3 B

Variable types

Categorical3
Text3
Numeric1
DateTime2

Dataset

Description대전광역시 2021년 석면해체제거사업장 석면비산 측정결과 공개_실적입니다. 2022년 공공데이터 기업매칭지원사업으로 수행되었습니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15111094/fileData.do

Alerts

석면 면적(제곱미터) is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 석면 면적(제곱미터) and 1 other fieldsHigh correlation
작업내용 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
소관 지자체 is highly overall correlated with 작업내용High correlation
구분 is highly imbalanced (71.4%)Imbalance

Reproduction

Analysis started2023-12-12 10:27:54.326440
Analysis finished2023-12-12 10:27:55.207227
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
사업자
38 
지자체
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업자 38
95.0%
지자체 2
 
5.0%

Length

2023-12-12T19:27:55.278201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:55.384266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업자 38
95.0%
지자체 2
 
5.0%

작업장 명칭
Text

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T19:27:55.664378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length23.5
Mean length21.325
Min length7

Characters and Unicode

Total characters853
Distinct characters168
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)90.0%

Sample

1st row대전대학교 기초과학관 1층, 지하층 교육환경개선 건축공사(1차)
2nd row동아마이스터고등학교 실습동 석면철거공사
3rd row우송대학교 학술정보센터 4층열람실 석면천정재 철거공사
4th row삼성동 한방병원(3,4층) 석면해체 제거공사
5th row한국폴리텍대학 대전캠퍼스 학내 석면시설 해체 제거공사
ValueCountFrequency (%)
석면철거공사 10
 
6.2%
석면해체 5
 
3.1%
철거공사 4
 
2.5%
중 4
 
2.5%
및 3
 
1.9%
등 3
 
1.9%
일원 3
 
1.9%
해체 3
 
1.9%
공학3호관 2
 
1.2%
1,2,3구역 2
 
1.2%
Other values (101) 122
75.8%
2023-12-12T19:27:56.134395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
14.3%
사 40
 
4.7%
공 36
 
4.2%
석 28
 
3.3%
면 28
 
3.3%
거 22
 
2.6%
대 21
 
2.5%
1 20
 
2.3%
동 18
 
2.1%
철 16
 
1.9%
Other values (158) 502
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 652
76.4%
Space Separator 122
 
14.3%
Decimal Number 51
 
6.0%
Open Punctuation 8
 
0.9%
Close Punctuation 8
 
0.9%
Other Punctuation 7
 
0.8%
Dash Punctuation 4
 
0.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 40
 
6.1%
공 36
 
5.5%
석 28
 
4.3%
면 28
 
4.3%
거 22
 
3.4%
대 21
 
3.2%
동 18
 
2.8%
철 16
 
2.5%
학 15
 
2.3%
체 14
 
2.1%
Other values (143) 414
63.5%
Decimal Number
ValueCountFrequency (%)
1 20
39.2%
2 8
 
15.7%
3 7
 
13.7%
0 6
 
11.8%
4 4
 
7.8%
5 2
 
3.9%
7 2
 
3.9%
9 1
 
2.0%
8 1
 
2.0%
Space Separator
ValueCountFrequency (%)
122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 652
76.4%
Common 201
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 40
 
6.1%
공 36
 
5.5%
석 28
 
4.3%
면 28
 
4.3%
거 22
 
3.4%
대 21
 
3.2%
동 18
 
2.8%
철 16
 
2.5%
학 15
 
2.3%
체 14
 
2.1%
Other values (143) 414
63.5%
Common
ValueCountFrequency (%)
122
60.7%
1 20
 
10.0%
( 8
 
4.0%
2 8
 
4.0%
) 8
 
4.0%
, 7
 
3.5%
3 7
 
3.5%
0 6
 
3.0%
4 4
 
2.0%
- 4
 
2.0%
Other values (5) 7
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 652
76.4%
ASCII 201
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
60.7%
1 20
 
10.0%
( 8
 
4.0%
2 8
 
4.0%
) 8
 
4.0%
, 7
 
3.5%
3 7
 
3.5%
0 6
 
3.0%
4 4
 
2.0%
- 4
 
2.0%
Other values (5) 7
 
3.5%
Hangul
ValueCountFrequency (%)
사 40
 
6.1%
공 36
 
5.5%
석 28
 
4.3%
면 28
 
4.3%
거 22
 
3.4%
대 21
 
3.2%
동 18
 
2.8%
철 16
 
2.5%
학 15
 
2.3%
체 14
 
2.1%
Other values (143) 414
63.5%

작업장 주소
Text

Distinct35
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T19:27:56.407884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length16.55
Min length9

Characters and Unicode

Total characters662
Distinct characters82
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

Unique30 ?
Unique (%)75.0%

Sample

1st row대전광역시 동구 대학로 62 (용운동)
2nd row대전광역시 동구 충정로 97 (자양동)
3rd row대전광역시 동구 백룡로 59 (자양동)
4th row대전광역시 동구 대전로815번길 131 (삼성동)
5th row대전광역시 동구 우암로 352-21 (가양동)
ValueCountFrequency (%)
대전 12
 
7.5%
유성구 12
 
7.5%
중구 9
 
5.6%
대전광역시 7
 
4.3%
서구 7
 
4.3%
동구 7
 
4.3%
대학로 6
 
3.7%
일원 6
 
3.7%
대덕구 5
 
3.1%
99 3
 
1.9%
Other values (69) 87
54.0%
2023-12-12T19:27:56.885719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
18.3%
1 40
 
6.0%
구 40
 
6.0%
대 38
 
5.7%
동 33
 
5.0%
로 26
 
3.9%
전 20
 
3.0%
2 18
 
2.7%
성 16
 
2.4%
3 14
 
2.1%
Other values (72) 296
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 365
55.1%
Decimal Number 140
 
21.1%
Space Separator 121
 
18.3%
Dash Punctuation 12
 
1.8%
Open Punctuation 12
 
1.8%
Close Punctuation 12
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 40
 
11.0%
대 38
 
10.4%
동 33
 
9.0%
로 26
 
7.1%
전 20
 
5.5%
성 16
 
4.4%
유 14
 
3.8%
번 11
 
3.0%
중 10
 
2.7%
길 9
 
2.5%
Other values (58) 148
40.5%
Decimal Number
ValueCountFrequency (%)
1 40
28.6%
2 18
12.9%
3 14
 
10.0%
9 12
 
8.6%
4 11
 
7.9%
5 10
 
7.1%
0 10
 
7.1%
8 9
 
6.4%
6 9
 
6.4%
7 7
 
5.0%
Space Separator
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 365
55.1%
Common 297
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 40
 
11.0%
대 38
 
10.4%
동 33
 
9.0%
로 26
 
7.1%
전 20
 
5.5%
성 16
 
4.4%
유 14
 
3.8%
번 11
 
3.0%
중 10
 
2.7%
길 9
 
2.5%
Other values (58) 148
40.5%
Common
ValueCountFrequency (%)
121
40.7%
1 40
 
13.5%
2 18
 
6.1%
3 14
 
4.7%
- 12
 
4.0%
( 12
 
4.0%
) 12
 
4.0%
9 12
 
4.0%
4 11
 
3.7%
5 10
 
3.4%
Other values (4) 35
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 365
55.1%
ASCII 297
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
40.7%
1 40
 
13.5%
2 18
 
6.1%
3 14
 
4.7%
- 12
 
4.0%
( 12
 
4.0%
) 12
 
4.0%
9 12
 
4.0%
4 11
 
3.7%
5 10
 
3.4%
Other values (4) 35
 
11.8%
Hangul
ValueCountFrequency (%)
구 40
 
11.0%
대 38
 
10.4%
동 33
 
9.0%
로 26
 
7.1%
전 20
 
5.5%
성 16
 
4.4%
유 14
 
3.8%
번 11
 
3.0%
중 10
 
2.7%
길 9
 
2.5%
Other values (58) 148
40.5%

작업내용
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
석면해체
18 
석면해체제거
9 
석면해체 제거
7 
석면해체제거작업
5 
석면철거
 
1

Length

Max length8
Median length7
Mean length5.475
Min length4

Unique

Unique1 ?
Unique (%)2.5%

Sample

1st row석면해체 제거
2nd row석면해체 제거
3rd row석면해체 제거
4th row석면해체 제거
5th row석면해체 제거

Common Values

ValueCountFrequency (%)
석면해체 18
45.0%
석면해체제거 9
22.5%
석면해체 제거 7
 
17.5%
석면해체제거작업 5
 
12.5%
석면철거 1
 
2.5%

Length

2023-12-12T19:27:57.072160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:57.222041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
석면해체 25
53.2%
석면해체제거 9
 
19.1%
제거 7
 
14.9%
석면해체제거작업 5
 
10.6%
석면철거 1
 
2.1%

석면 면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2840.3642
Minimum470.52
Maximum17840.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-12T19:27:57.381108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum470.52
5-th percentile509.9
Q1739.74
median1262.7
Q32113.22
95-th percentile12369.169
Maximum17840.59
Range17370.07
Interquartile range (IQR)1373.48

Descriptive statistics

Standard deviation4295.73
Coefficient of variation (CV)1.512387
Kurtosis6.6098364
Mean2840.3642
Median Absolute Deviation (MAD)612.04
Skewness2.6636914
Sum113614.57
Variance18453296
MonotonicityNot monotonic
2023-12-12T19:27:57.510538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
17840.59 2
 
5.0%
2113.22 2
 
5.0%
1624.0 1
 
2.5%
510.0 1
 
2.5%
975.0 1
 
2.5%
2080.1 1
 
2.5%
12081.2 1
 
2.5%
932.0 1
 
2.5%
690.89 1
 
2.5%
470.52 1
 
2.5%
Other values (28) 28
70.0%
ValueCountFrequency (%)
470.52 1
2.5%
508.0 1
2.5%
510.0 1
2.5%
511.0 1
2.5%
524.0 1
2.5%
532.25 1
2.5%
565.31 1
2.5%
610.43 1
2.5%
690.89 1
2.5%
691.2 1
2.5%
ValueCountFrequency (%)
17840.59 2
5.0%
12081.2 1
2.5%
10141.74 1
2.5%
7086.63 1
2.5%
5603.95 1
2.5%
4313.28 1
2.5%
2371.69 1
2.5%
2244.28 1
2.5%
2113.22 2
5.0%
2080.1 1
2.5%

해체제거시작일
Date

Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2020-07-06 00:00:00
Maximum2021-09-06 00:00:00
2023-12-12T19:27:57.643298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:27:57.774249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

해체제거종료일
Date

Distinct32
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2021-04-06 00:00:00
Maximum2021-09-09 00:00:00
2023-12-12T19:27:57.898247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:27:58.029538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

석면비산측정결과(세제곱센티미터당 개수)
Text

Distinct27
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-12T19:27:58.230520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.825
Min length7

Characters and Unicode

Total characters473
Distinct characters24
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)47.5%

Sample

1st row0.001~0.002
2nd row0.001~0.005
3rd row0.001~0.005
4th row0.001~0.003
5th row0.001~0.004
ValueCountFrequency (%)
11
14.9%
이하 9
 
12.2%
0.000 6
 
8.1%
0.001~0.003 5
 
6.8%
0.001 5
 
6.8%
0.004 4
 
5.4%
0.003개/cc 3
 
4.1%
0.000~0.003 3
 
4.1%
0.001~0.005 3
 
4.1%
0.004개/cc 2
 
2.7%
Other values (18) 23
31.1%
2023-12-12T19:27:58.599025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 212
44.8%
. 68
 
14.4%
35
 
7.4%
~ 28
 
5.9%
c 20
 
4.2%
1 19
 
4.0%
3 15
 
3.2%
개 11
 
2.3%
/ 10
 
2.1%
이 10
 
2.1%
Other values (14) 45
 
9.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 271
57.3%
Other Punctuation 78
 
16.5%
Other Letter 39
 
8.2%
Space Separator 35
 
7.4%
Math Symbol 28
 
5.9%
Lowercase Letter 20
 
4.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 212
78.2%
1 19
 
7.0%
3 15
 
5.5%
4 8
 
3.0%
5 6
 
2.2%
6 5
 
1.8%
2 4
 
1.5%
7 1
 
0.4%
8 1
 
0.4%
Other Letter
ValueCountFrequency (%)
개 11
28.2%
이 10
25.6%
하 9
23.1%
미 3
 
7.7%
만 3
 
7.7%
기 1
 
2.6%
준 1
 
2.6%
내 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 68
87.2%
/ 10
 
12.8%
Space Separator
ValueCountFrequency (%)
35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 28
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 414
87.5%
Hangul 39
 
8.2%
Latin 20
 
4.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 212
51.2%
. 68
 
16.4%
35
 
8.5%
~ 28
 
6.8%
1 19
 
4.6%
3 15
 
3.6%
/ 10
 
2.4%
4 8
 
1.9%
5 6
 
1.4%
6 5
 
1.2%
Other values (5) 8
 
1.9%
Hangul
ValueCountFrequency (%)
개 11
28.2%
이 10
25.6%
하 9
23.1%
미 3
 
7.7%
만 3
 
7.7%
기 1
 
2.6%
준 1
 
2.6%
내 1
 
2.6%
Latin
ValueCountFrequency (%)
c 20
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 434
91.8%
Hangul 39
 
8.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 212
48.8%
. 68
 
15.7%
35
 
8.1%
~ 28
 
6.5%
c 20
 
4.6%
1 19
 
4.4%
3 15
 
3.5%
/ 10
 
2.3%
4 8
 
1.8%
5 6
 
1.4%
Other values (6) 13
 
3.0%
Hangul
ValueCountFrequency (%)
개 11
28.2%
이 10
25.6%
하 9
23.1%
미 3
 
7.7%
만 3
 
7.7%
기 1
 
2.6%
준 1
 
2.6%
내 1
 
2.6%

소관 지자체
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
유성구
12 
중구
9 
동구
7 
서구
7 
대덕구
5 

Length

Max length3
Median length2
Mean length2.425
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유성구 12
30.0%
중구 9
22.5%
동구 7
17.5%
서구 7
17.5%
대덕구 5
12.5%

Length

2023-12-12T19:27:59.024649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:27:59.142709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유성구 12
30.0%
중구 9
22.5%
동구 7
17.5%
서구 7
17.5%
대덕구 5
12.5%

Interactions

2023-12-12T19:27:54.821716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:27:59.259861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분작업장 명칭작업장 주소작업내용석면 면적(제곱미터)해체제거시작일해체제거종료일석면비산측정결과(세제곱센티미터당 개수)소관 지자체
구분1.0001.0000.0000.5530.7650.0000.0001.0000.000
작업장 명칭1.0001.0001.0001.0000.0000.9430.9410.9871.000
작업장 주소0.0001.0001.0000.6550.7590.9680.9580.8671.000
작업내용0.5531.0000.6551.0000.3470.0000.0000.9230.990
석면 면적(제곱미터)0.7650.0000.7590.3471.0000.9570.9790.9050.283
해체제거시작일0.0000.9430.9680.0000.9571.0000.9790.8650.870
해체제거종료일0.0000.9410.9580.0000.9790.9791.0000.9030.858
석면비산측정결과(세제곱센티미터당 개수)1.0000.9870.8670.9230.9050.8650.9031.0000.908
소관 지자체0.0001.0001.0000.9900.2830.8700.8580.9081.000
2023-12-12T19:27:59.449776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
작업내용구분소관 지자체
작업내용1.0000.6410.855
구분0.6411.0000.000
소관 지자체0.8550.0001.000
2023-12-12T19:27:59.583382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
석면 면적(제곱미터)구분작업내용소관 지자체
석면 면적(제곱미터)1.0000.7740.2160.164
구분0.7741.0000.6410.000
작업내용0.2160.6411.0000.855
소관 지자체0.1640.0000.8551.000

Missing values

2023-12-12T19:27:54.958112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:27:55.139777image/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

구분작업장 명칭작업장 주소작업내용석면 면적(제곱미터)해체제거시작일해체제거종료일석면비산측정결과(세제곱센티미터당 개수)소관 지자체
0사업자대전대학교 기초과학관 1층, 지하층 교육환경개선 건축공사(1차)대전광역시 동구 대학로 62 (용운동)석면해체 제거1624.02021-06-242021-08-200.001~0.002동구
1사업자동아마이스터고등학교 실습동 석면철거공사대전광역시 동구 충정로 97 (자양동)석면해체 제거1515.02021-06-232021-07-150.001~0.005동구
2사업자우송대학교 학술정보센터 4층열람실 석면천정재 철거공사대전광역시 동구 백룡로 59 (자양동)석면해체 제거524.02021-07-012021-07-090.001~0.005동구
3사업자삼성동 한방병원(3,4층) 석면해체 제거공사대전광역시 동구 대전로815번길 131 (삼성동)석면해체 제거610.432021-06-242021-07-280.001~0.003동구
4사업자한국폴리텍대학 대전캠퍼스 학내 석면시설 해체 제거공사대전광역시 동구 우암로 352-21 (가양동)석면해체 제거1747.062021-07-192021-07-280.001~0.004동구
5사업자대전대학교 기초과학관 1층, 지하층 교육환경개선 건축공사 중 석면해체 감리용역(2차)대전광역시 동구 대학로 62 (용운동)석면해체 제거508.02021-07-272021-07-300.001~0.003동구
6사업자대전보건대학교 대학본부(9동) 소담홀 석면철거공사대전광역시 동구 충정로 21 (가양동)석면해체 제거511.02021-08-232021-09-080.001~0.003동구
7사업자은행경로당 석면해체 및 처리용역중구 목척6길 14(은행동)석면해체제거691.22021-06-232021-06-240.004개/cc 이하중구
8사업자충남기계공고 실습동 석면철거공사중구 산성로 154(문화동)석면해체제거1104.622021-06-302021-07-050.006개/cc 이하중구
9사업자대전 선화동 120번지 블록 철거공사중구 선화동 120-1번지 일원석면해체제거916.862021-07-062021-07-100.003개/cc 이하중구
구분작업장 명칭작업장 주소작업내용석면 면적(제곱미터)해체제거시작일해체제거종료일석면비산측정결과(세제곱센티미터당 개수)소관 지자체
30사업자21년도 근무환경 개선공사 외 1건 석면해체 감리용역대전 유성구 북유성대로488번길 160석면해체1592.322021-08-262021-09-080.001 ~ 0.004유성구
31사업자신탄진동사무소 석면해체제거공사대덕구 신탄진동 120-2외 2필지석면해체제거작업1129.962021-06-252021-06-270.01 미만대덕구
32사업자조차장 객화차 일상검수고 등 5개동대덕구 벚꽃길 150석면해체제거작업1794.462021-05-272021-06-250.002~0.008대덕구
33사업자다비다의집 노후석면 교체공사대덕구 대화1길 2석면해체제거작업2371.692021-06-232021-08-310.001~0.006대덕구
34사업자대덕경찰서 1~2층 일부 석면해체제거 공사대덕구 대덕대로1417번길 11석면해체제거작업975.6272021-08-072021-08-080.001~0.005대덕구
35사업자대전산단 재생사업지구 기반시설(도로)건설공사대덕구 대화로132번안길 137외 23동석면해체제거작업4313.282021-03-302021-04-060.001~0.003대덕구
36지자체충남대학교 공학3호관 등 3개동 석면철거대전 유성구 대학로 99석면철거17840.592020-12-252021-09-020.01개/cc 미만유성구
37지자체평촌일반산업단지 조성공사 석면감리용역서구 매노동 518석면해체7086.632021-08-192021-08-190.01개 미만(기준이내)서구
38사업자용문동 1,2,3구역 주택재건축 정비사업 중 석면 해체 및 제거공사(11차)서구 도산로 416-2 등 18개 지번 (용문동)석면해체10141.742021-08-022021-08-160.000~0.003서구
39사업자용문동 1,2,3구역 주택재건축 정비사업 중 석면 해체 및 제거공사(11차)서구 도산로 416-2 등 18개 지번 (용문동)석면해체5603.952021-06-222021-06-240.000~0.003서구