Overview

Dataset statistics

Number of variables9
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory79.0 B

Variable types

DateTime3
Text4
Numeric1
Categorical1

Dataset

Description부산광역시_동구_석면해체제거작업현황_20221014
Author부산광역시 동구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15028644

Alerts

위치(소재지) has unique valuesUnique
면적(m2) has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:46:44.870424
Analysis finished2023-12-10 17:46:46.660545
Duration1.79 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2022-01-13 00:00:00
Maximum2022-09-07 00:00:00
2023-12-11T02:46:46.799794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:46:47.107932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:46:47.596313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length8.3636364
Min length4

Characters and Unicode

Total characters184
Distinct characters78
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

Unique15 ?
Unique (%)68.2%

Sample

1st row동구 망량로 691-1, 1층
2nd row초량2동 행정복지센터
3rd row정구빌딩
4th row(주)대양산업
5th row단독주택, 근린생활시설
ValueCountFrequency (%)
단독주택 6
 
15.8%
근린생활시설 3
 
7.9%
동구 2
 
5.3%
정구빌딩 2
 
5.3%
교육연구시설 1
 
2.6%
진성로 1
 
2.6%
1층 1
 
2.6%
691-1 1
 
2.6%
망량로 1
 
2.6%
백제병원 1
 
2.6%
Other values (19) 19
50.0%
2023-12-11T02:46:49.080522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
8.7%
7
 
3.8%
, 7
 
3.8%
7
 
3.8%
6
 
3.3%
6
 
3.3%
6
 
3.3%
6
 
3.3%
5
 
2.7%
2 4
 
2.2%
Other values (68) 114
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
76.6%
Space Separator 16
 
8.7%
Decimal Number 13
 
7.1%
Other Punctuation 7
 
3.8%
Close Punctuation 2
 
1.1%
Open Punctuation 2
 
1.1%
Uppercase Letter 2
 
1.1%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7
 
5.0%
7
 
5.0%
6
 
4.3%
6
 
4.3%
6
 
4.3%
6
 
4.3%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (55) 86
61.0%
Decimal Number
ValueCountFrequency (%)
2 4
30.8%
1 3
23.1%
3 3
23.1%
7 1
 
7.7%
6 1
 
7.7%
9 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
U 1
50.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
76.6%
Common 41
 
22.3%
Latin 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7
 
5.0%
7
 
5.0%
6
 
4.3%
6
 
4.3%
6
 
4.3%
6
 
4.3%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (55) 86
61.0%
Common
ValueCountFrequency (%)
16
39.0%
, 7
17.1%
2 4
 
9.8%
1 3
 
7.3%
3 3
 
7.3%
) 2
 
4.9%
( 2
 
4.9%
7 1
 
2.4%
- 1
 
2.4%
6 1
 
2.4%
Latin
ValueCountFrequency (%)
C 1
50.0%
U 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
76.6%
ASCII 43
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
37.2%
, 7
16.3%
2 4
 
9.3%
1 3
 
7.0%
3 3
 
7.0%
) 2
 
4.7%
( 2
 
4.7%
7 1
 
2.3%
- 1
 
2.3%
6 1
 
2.3%
Other values (3) 3
 
7.0%
Hangul
ValueCountFrequency (%)
7
 
5.0%
7
 
5.0%
6
 
4.3%
6
 
4.3%
6
 
4.3%
6
 
4.3%
5
 
3.5%
4
 
2.8%
4
 
2.8%
4
 
2.8%
Other values (55) 86
61.0%

위치(소재지)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:46:49.799376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length41
Mean length35.090909
Min length22

Characters and Unicode

Total characters772
Distinct characters74
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

Unique22 ?
Unique (%)100.0%

Sample

1st row부산광역시 동구 망양로 691-1(수정동) 1층
2nd row부산광역시 동구 중앙대로209번길 30(초량동)초량2동 행정복지센터
3rd row부산광역시 동구 범일로102번길 7(범일동)5층
4th row부산광역시 동구 성남로 66(좌천동)1층
5th row부산광역시 동구 고관로 110-7(수정동)외 3필지(수정동265-1, 265-4, 270-1, 270-9)
ValueCountFrequency (%)
부산광역시 22
 
17.1%
동구 22
 
17.1%
중앙대로 3
 
2.3%
98-14 3
 
2.3%
자성로 3
 
2.3%
98-10 3
 
2.3%
자성로90번길 2
 
1.6%
102-16 2
 
1.6%
중앙대로209번길 2
 
1.6%
98-8 2
 
1.6%
Other values (62) 65
50.4%
2023-12-11T02:46:50.772060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
108
 
14.0%
45
 
5.8%
1 36
 
4.7%
- 29
 
3.8%
, 26
 
3.4%
25
 
3.2%
2 25
 
3.2%
9 24
 
3.1%
0 24
 
3.1%
24
 
3.1%
Other values (64) 406
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 376
48.7%
Decimal Number 191
24.7%
Space Separator 108
 
14.0%
Dash Punctuation 29
 
3.8%
Other Punctuation 26
 
3.4%
Open Punctuation 21
 
2.7%
Close Punctuation 21
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
 
12.0%
25
 
6.6%
24
 
6.4%
23
 
6.1%
23
 
6.1%
23
 
6.1%
22
 
5.9%
22
 
5.9%
12
 
3.2%
11
 
2.9%
Other values (49) 146
38.8%
Decimal Number
ValueCountFrequency (%)
1 36
18.8%
2 25
13.1%
9 24
12.6%
0 24
12.6%
8 21
11.0%
3 17
8.9%
6 13
 
6.8%
7 12
 
6.3%
5 10
 
5.2%
4 9
 
4.7%
Space Separator
ValueCountFrequency (%)
108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 396
51.3%
Hangul 376
48.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
 
12.0%
25
 
6.6%
24
 
6.4%
23
 
6.1%
23
 
6.1%
23
 
6.1%
22
 
5.9%
22
 
5.9%
12
 
3.2%
11
 
2.9%
Other values (49) 146
38.8%
Common
ValueCountFrequency (%)
108
27.3%
1 36
 
9.1%
- 29
 
7.3%
, 26
 
6.6%
2 25
 
6.3%
9 24
 
6.1%
0 24
 
6.1%
8 21
 
5.3%
( 21
 
5.3%
) 21
 
5.3%
Other values (5) 61
15.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 396
51.3%
Hangul 376
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
108
27.3%
1 36
 
9.1%
- 29
 
7.3%
, 26
 
6.6%
2 25
 
6.3%
9 24
 
6.1%
0 24
 
6.1%
8 21
 
5.3%
( 21
 
5.3%
) 21
 
5.3%
Other values (5) 61
15.4%
Hangul
ValueCountFrequency (%)
45
 
12.0%
25
 
6.6%
24
 
6.4%
23
 
6.1%
23
 
6.1%
23
 
6.1%
22
 
5.9%
22
 
5.9%
12
 
3.2%
11
 
2.9%
Other values (49) 146
38.8%
Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:46:51.393728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length28
Mean length25.727273
Min length14

Characters and Unicode

Total characters566
Distinct characters103
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

Unique19 ?
Unique (%)86.4%

Sample

1st row동구 망양로 691-1, 1층 일부 리모델링공사
2nd row초량2동 행정복지센터 석면제거공사
3rd row정구빌딩 5층 석면철거공사
4th row동구 성남로 66 지정폐기물 철거공사
5th row부산광역시 동구 고관로 110-7 외 3필지 석면해체공사
ValueCountFrequency (%)
동구 12
 
10.1%
6
 
5.0%
철거공사 6
 
5.0%
석면해체제거공사 5
 
4.2%
석면해체공사 5
 
4.2%
부산 4
 
3.4%
범일동 4
 
3.4%
해체공사 3
 
2.5%
일원 3
 
2.5%
건축물 3
 
2.5%
Other values (61) 68
57.1%
2023-12-11T02:46:52.369558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
17.3%
28
 
4.9%
27
 
4.8%
3 21
 
3.7%
18
 
3.2%
18
 
3.2%
17
 
3.0%
17
 
3.0%
17
 
3.0%
16
 
2.8%
Other values (93) 289
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 377
66.6%
Space Separator 98
 
17.3%
Decimal Number 69
 
12.2%
Dash Punctuation 9
 
1.6%
Other Punctuation 4
 
0.7%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Uppercase Letter 2
 
0.4%
Math Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
7.4%
27
 
7.2%
18
 
4.8%
18
 
4.8%
17
 
4.5%
17
 
4.5%
17
 
4.5%
16
 
4.2%
16
 
4.2%
10
 
2.7%
Other values (75) 193
51.2%
Decimal Number
ValueCountFrequency (%)
3 21
30.4%
1 12
17.4%
2 9
13.0%
0 8
 
11.6%
5 6
 
8.7%
6 4
 
5.8%
7 3
 
4.3%
4 3
 
4.3%
9 3
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 377
66.6%
Common 187
33.0%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
7.4%
27
 
7.2%
18
 
4.8%
18
 
4.8%
17
 
4.5%
17
 
4.5%
17
 
4.5%
16
 
4.2%
16
 
4.2%
10
 
2.7%
Other values (75) 193
51.2%
Common
ValueCountFrequency (%)
98
52.4%
3 21
 
11.2%
1 12
 
6.4%
2 9
 
4.8%
- 9
 
4.8%
0 8
 
4.3%
5 6
 
3.2%
6 4
 
2.1%
7 3
 
1.6%
4 3
 
1.6%
Other values (6) 14
 
7.5%
Latin
ValueCountFrequency (%)
G 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 377
66.6%
ASCII 189
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
51.9%
3 21
 
11.1%
1 12
 
6.3%
2 9
 
4.8%
- 9
 
4.8%
0 8
 
4.2%
5 6
 
3.2%
6 4
 
2.1%
7 3
 
1.6%
4 3
 
1.6%
Other values (8) 16
 
8.5%
Hangul
ValueCountFrequency (%)
28
 
7.4%
27
 
7.2%
18
 
4.8%
18
 
4.8%
17
 
4.5%
17
 
4.5%
17
 
4.5%
16
 
4.2%
16
 
4.2%
10
 
2.7%
Other values (75) 193
51.2%
Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:46:52.781343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length11
Mean length9
Min length5

Characters and Unicode

Total characters198
Distinct characters65
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)59.1%

Sample

1st row(주)공간산업개발
2nd row조은건설산업(주)
3rd row주식회사 선인이엔지
4th row(주)에스지건설
5th row삼원환경개발
ValueCountFrequency (%)
우성건설 3
 
12.5%
지주건설 2
 
8.3%
주식회사 2
 
8.3%
선인이엔지 2
 
8.3%
주식회사대한티엘 2
 
8.3%
세아환경(주 1
 
4.2%
주)공간산업개발 1
 
4.2%
주식회사개척이앤아이 1
 
4.2%
주식회사프로해즈맷(prohazmat 1
 
4.2%
주식회사두리환경건설 1
 
4.2%
Other values (8) 8
33.3%
2023-12-11T02:46:53.574716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
12.1%
17
 
8.6%
10
 
5.1%
9
 
4.5%
8
 
4.0%
8
 
4.0%
8
 
4.0%
( 8
 
4.0%
) 8
 
4.0%
6
 
3.0%
Other values (55) 92
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
75.3%
Space Separator 24
 
12.1%
Open Punctuation 8
 
4.0%
Close Punctuation 8
 
4.0%
Lowercase Letter 6
 
3.0%
Uppercase Letter 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
11.4%
10
 
6.7%
9
 
6.0%
8
 
5.4%
8
 
5.4%
8
 
5.4%
6
 
4.0%
6
 
4.0%
5
 
3.4%
5
 
3.4%
Other values (44) 67
45.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
33.3%
o 1
16.7%
r 1
16.7%
z 1
16.7%
t 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
H 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
75.3%
Common 40
 
20.2%
Latin 9
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
11.4%
10
 
6.7%
9
 
6.0%
8
 
5.4%
8
 
5.4%
8
 
5.4%
6
 
4.0%
6
 
4.0%
5
 
3.4%
5
 
3.4%
Other values (44) 67
45.0%
Latin
ValueCountFrequency (%)
a 2
22.2%
P 1
11.1%
o 1
11.1%
r 1
11.1%
H 1
11.1%
z 1
11.1%
M 1
11.1%
t 1
11.1%
Common
ValueCountFrequency (%)
24
60.0%
( 8
 
20.0%
) 8
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
75.3%
ASCII 49
 
24.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
49.0%
( 8
 
16.3%
) 8
 
16.3%
a 2
 
4.1%
P 1
 
2.0%
o 1
 
2.0%
r 1
 
2.0%
H 1
 
2.0%
z 1
 
2.0%
M 1
 
2.0%
Hangul
ValueCountFrequency (%)
17
 
11.4%
10
 
6.7%
9
 
6.0%
8
 
5.4%
8
 
5.4%
8
 
5.4%
6
 
4.0%
6
 
4.0%
5
 
3.4%
5
 
3.4%
Other values (44) 67
45.0%
Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2022-01-13 00:00:00
Maximum2022-09-07 00:00:00
2023-12-11T02:46:53.883849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:46:54.135570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2022-01-25 00:00:00
Maximum2022-09-30 00:00:00
2023-12-11T02:46:54.403806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:46:54.677340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

면적(m2)
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean311.47045
Minimum50.88
Maximum922.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-11T02:46:54.967205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50.88
5-th percentile64.0325
Q1144.785
median266.475
Q3418.75
95-th percentile726.748
Maximum922.53
Range871.65
Interquartile range (IQR)273.965

Descriptive statistics

Standard deviation222.24397
Coefficient of variation (CV)0.71353146
Kurtosis1.5810081
Mean311.47045
Median Absolute Deviation (MAD)141.185
Skewness1.2153691
Sum6852.35
Variance49392.381
MonotonicityNot monotonic
2023-12-11T02:46:55.247926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
63.85 1
 
4.5%
480.31 1
 
4.5%
67.5 1
 
4.5%
247.72 1
 
4.5%
922.53 1
 
4.5%
83.46 1
 
4.5%
328.84 1
 
4.5%
491.9 1
 
4.5%
136.36 1
 
4.5%
114.22 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
50.88 1
4.5%
63.85 1
4.5%
67.5 1
4.5%
83.46 1
4.5%
114.22 1
4.5%
136.36 1
4.5%
170.06 1
4.5%
229.14 1
4.5%
247.72 1
4.5%
258.3 1
4.5%
ValueCountFrequency (%)
922.53 1
4.5%
736.27 1
4.5%
545.83 1
4.5%
491.9 1
4.5%
480.31 1
4.5%
448.72 1
4.5%
328.84 1
4.5%
322.99 1
4.5%
317.68 1
4.5%
302.84 1
4.5%

종류
Categorical

Distinct9
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
천장재
지붕재
벽 재,천장재
벽 재,지붕재,천장재
지붕재,천장재
Other values (4)

Length

Max length13
Median length3
Mean length5.6818182
Min length3

Unique

Unique4 ?
Unique (%)18.2%

Sample

1st row천장재
2nd row천장재
3rd row벽 재,천장재
4th row지붕재
5th row지붕재

Common Values

ValueCountFrequency (%)
천장재 8
36.4%
지붕재 4
18.2%
벽 재,천장재 2
 
9.1%
벽 재,지붕재,천장재 2
 
9.1%
지붕재,천장재 2
 
9.1%
개스킷,천장재 1
 
4.5%
벽 재 1
 
4.5%
기타,지붕재 1
 
4.5%
개스킷,벽 재,천장재 1
 
4.5%

Length

2023-12-11T02:46:55.582954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:46:55.936695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
천장재 8
28.6%
5
17.9%
지붕재 4
14.3%
재,천장재 3
 
10.7%
재,지붕재,천장재 2
 
7.1%
지붕재,천장재 2
 
7.1%
개스킷,천장재 1
 
3.6%
1
 
3.6%
기타,지붕재 1
 
3.6%
개스킷,벽 1
 
3.6%

Interactions

2023-12-11T02:46:45.854191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:46:56.280205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고일자건물명(설비명)위치(소재지)공사현장명석면해체제거업자정보 사업체명해체작업기간-시작일해체작업기간-종료일면적(m2)종류
신고일자1.0000.8641.0000.9180.8780.9880.4980.8580.713
건물명(설비명)0.8641.0001.0001.0000.9820.9880.9510.0000.917
위치(소재지)1.0001.0001.0001.0001.0001.0001.0001.0001.000
공사현장명0.9181.0001.0001.0001.0001.0000.9670.5620.807
석면해체제거업자정보 사업체명0.8780.9821.0001.0001.0000.9670.9440.4950.876
해체작업기간-시작일0.9880.9881.0001.0000.9671.0000.9270.6680.884
해체작업기간-종료일0.4980.9511.0000.9670.9440.9271.0000.8350.968
면적(m2)0.8580.0001.0000.5620.4950.6680.8351.0000.693
종류0.7130.9171.0000.8070.8760.8840.9680.6931.000
2023-12-11T02:46:56.694873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(m2)종류
면적(m2)1.0000.390
종류0.3901.000

Missing values

2023-12-11T02:46:46.115985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:46:46.529598image/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

신고일자건물명(설비명)위치(소재지)공사현장명석면해체제거업자정보 사업체명해체작업기간-시작일해체작업기간-종료일면적(m2)종류
02022-09-07동구 망량로 691-1, 1층부산광역시 동구 망양로 691-1(수정동) 1층동구 망양로 691-1, 1층 일부 리모델링공사(주)공간산업개발2022-09-072022-09-1063.85천장재
12022-09-03초량2동 행정복지센터부산광역시 동구 중앙대로209번길 30(초량동)초량2동 행정복지센터초량2동 행정복지센터 석면제거공사조은건설산업(주)2022-09-022022-09-18302.84천장재
22022-09-03정구빌딩부산광역시 동구 범일로102번길 7(범일동)5층정구빌딩 5층 석면철거공사주식회사 선인이엔지2022-09-022022-09-30448.72벽 재,천장재
32022-08-27(주)대양산업부산광역시 동구 성남로 66(좌천동)1층동구 성남로 66 지정폐기물 철거공사(주)에스지건설2022-08-292022-09-07258.3지붕재
42022-08-19단독주택, 근린생활시설부산광역시 동구 고관로 110-7(수정동)외 3필지(수정동265-1, 265-4, 270-1, 270-9)부산광역시 동구 고관로 110-7 외 3필지 석면해체공사삼원환경개발2022-08-182022-08-30266.61지붕재
52022-07-16스타빌딩부산광역시 동구 홍곡로 22(초량동)스타빌링동구 홍곡로 22 석면해체제거공사성일건설2022-07-152022-07-31317.68천장재
62022-07-14정구빌딩부산광역시 동구 범일로102번길 7(범일동)3층정구빌딩 3~5층 석면철거공사(3, 4층 해당)주식회사 선인이엔지2022-07-142022-07-30736.27벽 재,천장재
72022-07-02범일지역아동센터부산광역시 동구 범곡로33번길 40(범일동, 범일지역아동센터)동구 범곡로33번길 40(범일동 1320-90) 석면해체제거공사주식회사대한티엘2022-07-022022-07-3150.88천장재
82022-06-17수정 지역아동센터부산광역시 동구 초량상로 151-51층 (수정동, 수정교회)부산 동구 초량상로 151-5 석면해체제거공사주식회사대한티엘2022-06-172022-07-31266.34천장재
92022-05-19봉생병원(구관)부산광역시 동구 중앙대로 401(좌천동, 봉생병원)봉생병원(구관) 지장물 철거공사(주)우성엔지니어링개발2022-05-182022-06-10229.14개스킷,천장재
신고일자건물명(설비명)위치(소재지)공사현장명석면해체제거업자정보 사업체명해체작업기간-시작일해체작업기간-종료일면적(m2)종류
122022-05-07단독주택부산광역시 동구 자성로 96-598, 98-8, 98-10, 98-14, 102-16, 자성로90번길 11-4부산 동구 범일동 330-31번지 일원 건축물 해체공사 중 석면해체공사우성건설2022-05-032022-05-20480.31지붕재,천장재
132022-05-04단독주택부산광역시 동구 자성로 96-598-8, 98-10, 98-14, 102-16(범일동)부산 동구 범일동 330-31번지 일원 건축물 해체공사 중 석면해체공사우성건설2022-05-032022-05-20322.99지붕재
142022-05-03CU부산역점부산광역시 동구 중앙대로 203(초량동)(초량동)GS25부산역점 석면해체공사주식회사개척이앤아이2022-05-022022-05-15114.22천장재
152022-03-25대한통운빌딩부산광역시 동구 중앙대로 176(초량동)부산빌딩 9층 907호, 908호중앙대로 176 대한통운빌딩 9층 벽재 석면해체.제거 공사지주건설2022-03-242022-03-30136.36벽 재
162022-03-23동구 범곡북로3번길 23부산광역시 동구 범곡북로3번길 23(범일동)부산시 동구 범곡북로3번길 23 건물 철거공사부경석면환경(주)2022-03-222022-04-08491.9기타,지붕재
172022-03-15단독주택, 근린생활시설부산광역시 동구 진시장로 2-3외 2필지(2-5, 2-7)동구 진시장로 2-3번지 외 2필지 철거공사 중 석면해체제거공사세아환경(주)2022-03-152022-03-31328.84벽 재,지붕재,천장재
182022-03-08진성로 27, 수정동로 32부산광역시 동구 진성로 27, 수정동로 32부산천 정비사업 지장물 철거공사 중 석면해체, 제거공사주식회사두리환경건설2022-03-072022-03-3183.46지붕재,천장재
192022-02-25라온호텔 등부산광역시 동구 조방로38번길 8외 2개 지번(범일동 830-179, 182, 183)범일동 주상복합 신축공사 중 석면해체제거공사주식회사프로해즈맷(ProHazMat)2022-02-242022-03-10922.53개스킷,벽 재,천장재
202022-01-13구, 백제병원부산광역시 동구 중앙대로209번길 16(초량동, )구백제병원 슬레이트 철거공사신창건영(주)2022-01-132022-01-25247.72지붕재
212022-01-13석천조경부산광역시 동구 조방로 48(범일동)자유시장 3층 307호석천조경 자유시장 453호 석면해체지주건설2022-01-132022-01-3067.5천장재