Overview

Dataset statistics

Number of variables10
Number of observations58
Missing cells115
Missing cells (%)19.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory83.3 B

Variable types

Text5
Categorical3
DateTime1
Unsupported1

Dataset

Description경기도 시흥시 대기 환경오염물질 배출사업장 현황으로 사업장명, 인허가등록일자, 휴폐업구분, 소재지 주소, 대표업종, 종을 제공합니다.
URLhttps://www.data.go.kr/data/15081113/fileData.do

Alerts

휴폐업구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
인허가구분 is highly imbalanced (78.4%)Imbalance
휴폐업구분 has 57 (98.3%) missing valuesMissing
폐업일자 has 58 (100.0%) missing valuesMissing
사업장명 has unique valuesUnique
소재지 has unique valuesUnique
도로명소재지 has unique valuesUnique
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 11:12:00.837485
Analysis finished2023-12-12 11:12:01.963018
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T20:12:02.231183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length8.0689655
Min length3

Characters and Unicode

Total characters468
Distinct characters151
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

Unique58 ?
Unique (%)100.0%

Sample

1st row한덕판지공업(주)
2nd row시흥카독크(주)
3rd row(주)대생산업
4th row(주)보성화학
5th row(주)승리분체
ValueCountFrequency (%)
시흥도시공사 3
 
4.3%
주식회사 2
 
2.9%
한덕판지공업(주 1
 
1.4%
카플러스 1
 
1.4%
능곡어울림센터 1
 
1.4%
경기지역본부 1
 
1.4%
한국가스공사 1
 
1.4%
주)시흥스카이모터스 1
 
1.4%
탑전자 1
 
1.4%
주)대교 1
 
1.4%
Other values (57) 57
81.4%
2023-12-12T20:12:02.797431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 31
 
6.6%
( 29
 
6.2%
) 29
 
6.2%
시 20
 
4.3%
산 13
 
2.8%
업 13
 
2.8%
흥 13
 
2.8%
12
 
2.6%
사 12
 
2.6%
터 10
 
2.1%
Other values (141) 286
61.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
84.6%
Open Punctuation 29
 
6.2%
Close Punctuation 29
 
6.2%
Space Separator 12
 
2.6%
Other Symbol 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 31
 
7.8%
시 20
 
5.1%
산 13
 
3.3%
업 13
 
3.3%
흥 13
 
3.3%
사 12
 
3.0%
터 10
 
2.5%
스 10
 
2.5%
한 9
 
2.3%
공 9
 
2.3%
Other values (137) 256
64.6%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 398
85.0%
Common 70
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 31
 
7.8%
시 20
 
5.0%
산 13
 
3.3%
업 13
 
3.3%
흥 13
 
3.3%
사 12
 
3.0%
터 10
 
2.5%
스 10
 
2.5%
한 9
 
2.3%
공 9
 
2.3%
Other values (138) 258
64.8%
Common
ValueCountFrequency (%)
( 29
41.4%
) 29
41.4%
12
17.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
84.6%
ASCII 70
 
15.0%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 31
 
7.8%
시 20
 
5.1%
산 13
 
3.3%
업 13
 
3.3%
흥 13
 
3.3%
사 12
 
3.0%
터 10
 
2.5%
스 10
 
2.5%
한 9
 
2.3%
공 9
 
2.3%
Other values (137) 256
64.6%
ASCII
ValueCountFrequency (%)
( 29
41.4%
) 29
41.4%
12
17.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T20:12:03.113091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length21.758621
Min length16

Characters and Unicode

Total characters1262
Distinct characters121
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

Unique58 ?
Unique (%)100.0%

Sample

1st row경기도 시흥시 미산동 304
2nd row경기도 시흥시 신천동 862-1 (구 62-4)
3rd row경기도 시흥시 조남동 218-5번지
4th row경기도 시흥시 신천동 861-10 (구 66-6)
5th row경기도 시흥시 신천동 861-8
ValueCountFrequency (%)
경기도 58
21.6%
시흥시 58
21.6%
신천동 17
 
6.3%
정왕동 10
 
3.7%
대야동 8
 
3.0%
미산동 4
 
1.5%
월곶동 4
 
1.5%
구 3
 
1.1%
조남동 3
 
1.1%
과림동 2
 
0.7%
Other values (101) 102
37.9%
2023-12-12T20:12:03.700557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
21.3%
시 122
 
9.7%
흥 62
 
4.9%
도 61
 
4.8%
동 60
 
4.8%
경 59
 
4.7%
기 59
 
4.7%
1 56
 
4.4%
- 51
 
4.0%
8 40
 
3.2%
Other values (111) 423
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 658
52.1%
Space Separator 269
21.3%
Decimal Number 261
 
20.7%
Dash Punctuation 51
 
4.0%
Close Punctuation 10
 
0.8%
Open Punctuation 10
 
0.8%
Math Symbol 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 122
18.5%
흥 62
 
9.4%
도 61
 
9.3%
동 60
 
9.1%
경 59
 
9.0%
기 59
 
9.0%
천 17
 
2.6%
신 17
 
2.6%
정 12
 
1.8%
왕 10
 
1.5%
Other values (95) 179
27.2%
Decimal Number
ValueCountFrequency (%)
1 56
21.5%
8 40
15.3%
6 33
12.6%
2 27
10.3%
0 23
8.8%
4 20
 
7.7%
7 20
 
7.7%
3 18
 
6.9%
5 16
 
6.1%
9 8
 
3.1%
Space Separator
ValueCountFrequency (%)
269
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 658
52.1%
Common 603
47.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 122
18.5%
흥 62
 
9.4%
도 61
 
9.3%
동 60
 
9.1%
경 59
 
9.0%
기 59
 
9.0%
천 17
 
2.6%
신 17
 
2.6%
정 12
 
1.8%
왕 10
 
1.5%
Other values (95) 179
27.2%
Common
ValueCountFrequency (%)
269
44.6%
1 56
 
9.3%
- 51
 
8.5%
8 40
 
6.6%
6 33
 
5.5%
2 27
 
4.5%
0 23
 
3.8%
4 20
 
3.3%
7 20
 
3.3%
3 18
 
3.0%
Other values (5) 46
 
7.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 658
52.1%
ASCII 604
47.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269
44.5%
1 56
 
9.3%
- 51
 
8.4%
8 40
 
6.6%
6 33
 
5.5%
2 27
 
4.5%
0 23
 
3.8%
4 20
 
3.3%
7 20
 
3.3%
3 18
 
3.0%
Other values (6) 47
 
7.8%
Hangul
ValueCountFrequency (%)
시 122
18.5%
흥 62
 
9.4%
도 61
 
9.3%
동 60
 
9.1%
경 59
 
9.0%
기 59
 
9.0%
천 17
 
2.6%
신 17
 
2.6%
정 12
 
1.8%
왕 10
 
1.5%
Other values (95) 179
27.2%

도로명소재지
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T20:12:04.199097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length28.87931
Min length16

Characters and Unicode

Total characters1675
Distinct characters151
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

Unique58 ?
Unique (%)100.0%

Sample

1st row경기도 시흥시 시흥대로 890 (미산동)
2nd row경기도 시흥시 포도원로116번길 2 (신천동)
3rd row경기도 시흥시 동서로 981 (조남동)
4th row경기도 시흥시 포도원로116번길 13 (신천동 (구 66-6))
5th row경기도 시흥시 신천로43번길 6 (신천동)
ValueCountFrequency (%)
경기도 58
 
17.5%
시흥시 58
 
17.5%
신천동 16
 
4.8%
정왕동 10
 
3.0%
포도원로116번길 8
 
2.4%
대야동 8
 
2.4%
시흥대로 7
 
2.1%
은계중앙로306번길 3
 
0.9%
수인로 3
 
0.9%
서울대학로 3
 
0.9%
Other values (134) 158
47.6%
2023-12-12T20:12:05.023732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
300
17.9%
시 130
 
7.8%
도 70
 
4.2%
흥 69
 
4.1%
) 67
 
4.0%
( 67
 
4.0%
1 62
 
3.7%
기 62
 
3.7%
경 59
 
3.5%
동 59
 
3.5%
Other values (141) 730
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 965
57.6%
Space Separator 300
 
17.9%
Decimal Number 259
 
15.5%
Close Punctuation 67
 
4.0%
Open Punctuation 67
 
4.0%
Dash Punctuation 15
 
0.9%
Math Symbol 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 130
 
13.5%
도 70
 
7.3%
흥 69
 
7.2%
기 62
 
6.4%
경 59
 
6.1%
동 59
 
6.1%
로 55
 
5.7%
길 29
 
3.0%
번 26
 
2.7%
대 23
 
2.4%
Other values (125) 383
39.7%
Decimal Number
ValueCountFrequency (%)
1 62
23.9%
2 35
13.5%
3 29
11.2%
6 29
11.2%
5 22
 
8.5%
0 20
 
7.7%
7 17
 
6.6%
8 16
 
6.2%
4 15
 
5.8%
9 14
 
5.4%
Space Separator
ValueCountFrequency (%)
300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 965
57.6%
Common 709
42.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 130
 
13.5%
도 70
 
7.3%
흥 69
 
7.2%
기 62
 
6.4%
경 59
 
6.1%
동 59
 
6.1%
로 55
 
5.7%
길 29
 
3.0%
번 26
 
2.7%
대 23
 
2.4%
Other values (125) 383
39.7%
Common
ValueCountFrequency (%)
300
42.3%
) 67
 
9.4%
( 67
 
9.4%
1 62
 
8.7%
2 35
 
4.9%
3 29
 
4.1%
6 29
 
4.1%
5 22
 
3.1%
0 20
 
2.8%
7 17
 
2.4%
Other values (5) 61
 
8.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 965
57.6%
ASCII 710
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
300
42.3%
) 67
 
9.4%
( 67
 
9.4%
1 62
 
8.7%
2 35
 
4.9%
3 29
 
4.1%
6 29
 
4.1%
5 22
 
3.1%
0 20
 
2.8%
7 17
 
2.4%
Other values (6) 62
 
8.7%
Hangul
ValueCountFrequency (%)
시 130
 
13.5%
도 70
 
7.3%
흥 69
 
7.2%
기 62
 
6.4%
경 59
 
6.1%
동 59
 
6.1%
로 55
 
5.7%
길 29
 
3.0%
번 26
 
2.7%
대 23
 
2.4%
Other values (125) 383
39.7%

대표업종
Text

Distinct44
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T20:12:05.392024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length15
Mean length10.12069
Min length3

Characters and Unicode

Total characters587
Distinct characters108
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

Unique38 ?
Unique (%)65.5%

Sample

1st row종이제품제조
2nd row자동차 종합수리업
3rd row폐기물 처리업(382)
4th row고무제품제조업
5th row도장 및 기타 피막처리업
ValueCountFrequency (%)
기타 13
 
8.4%
자동차 11
 
7.1%
및 10
 
6.5%
종합수리업 9
 
5.8%
제조업 9
 
5.8%
폐기물 7
 
4.5%
그외 5
 
3.2%
운영업 5
 
3.2%
스포츠시설 4
 
2.6%
외 4
 
2.6%
Other values (60) 78
50.3%
2023-12-12T20:12:05.952851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
 
16.7%
업 52
 
8.9%
제 24
 
4.1%
기 24
 
4.1%
조 19
 
3.2%
리 17
 
2.9%
타 15
 
2.6%
자 13
 
2.2%
합 13
 
2.2%
종 13
 
2.2%
Other values (98) 299
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 483
82.3%
Space Separator 98
 
16.7%
Decimal Number 3
 
0.5%
Other Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 52
 
10.8%
제 24
 
5.0%
기 24
 
5.0%
조 19
 
3.9%
리 17
 
3.5%
타 15
 
3.1%
자 13
 
2.7%
합 13
 
2.7%
종 13
 
2.7%
차 13
 
2.7%
Other values (91) 280
58.0%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
8 1
33.3%
3 1
33.3%
Space Separator
ValueCountFrequency (%)
98
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 483
82.3%
Common 104
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 52
 
10.8%
제 24
 
5.0%
기 24
 
5.0%
조 19
 
3.9%
리 17
 
3.5%
타 15
 
3.1%
자 13
 
2.7%
합 13
 
2.7%
종 13
 
2.7%
차 13
 
2.7%
Other values (91) 280
58.0%
Common
ValueCountFrequency (%)
98
94.2%
, 1
 
1.0%
( 1
 
1.0%
) 1
 
1.0%
2 1
 
1.0%
8 1
 
1.0%
3 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 483
82.3%
ASCII 104
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
94.2%
, 1
 
1.0%
( 1
 
1.0%
) 1
 
1.0%
2 1
 
1.0%
8 1
 
1.0%
3 1
 
1.0%
Hangul
ValueCountFrequency (%)
업 52
 
10.8%
제 24
 
5.0%
기 24
 
5.0%
조 19
 
3.9%
리 17
 
3.5%
타 15
 
3.1%
자 13
 
2.7%
합 13
 
2.7%
종 13
 
2.7%
차 13
 
2.7%
Other values (91) 280
58.0%

종
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
5종
44 
4종
14 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4종
2nd row5종
3rd row5종
4th row4종
5th row5종

Common Values

ValueCountFrequency (%)
5종 44
75.9%
4종 14
 
24.1%

Length

2023-12-12T20:12:06.160225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:06.342465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5종 44
75.9%
4종 14
 
24.1%

인허가등록일자
Date

Distinct54
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum1993-10-14 00:00:00
Maximum2023-03-09 00:00:00
2023-12-12T20:12:06.567822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:06.820055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴폐업구분
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing57
Missing (%)98.3%
Memory size596.0 B
2023-12-12T20:12:06.997577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row휴업
ValueCountFrequency (%)
휴업 1
100.0%
2023-12-12T20:12:07.406601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
휴 1
50.0%
업 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
휴 1
50.0%
업 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
휴 1
50.0%
업 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
휴 1
50.0%
업 1
50.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

인허가구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
신고
56 
허가
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고 56
96.6%
허가 2
 
3.4%

Length

2023-12-12T20:12:07.770139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:07.965559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고 56
96.6%
허가 2
 
3.4%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-05-26
58 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-26
2nd row2023-05-26
3rd row2023-05-26
4th row2023-05-26
5th row2023-05-26

Common Values

ValueCountFrequency (%)
2023-05-26 58
100.0%

Length

2023-12-12T20:12:08.155773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:08.326071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-26 58
100.0%

Correlations

2023-12-12T20:12:08.450147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장명소재지도로명소재지대표업종종인허가등록일자인허가구분
사업장명1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.000
도로명소재지1.0001.0001.0001.0001.0001.0001.000
대표업종1.0001.0001.0001.0000.8100.9461.000
종1.0001.0001.0000.8101.0000.0000.000
인허가등록일자1.0001.0001.0000.9460.0001.0001.000
인허가구분1.0001.0001.0001.0000.0001.0001.000
2023-12-12T20:12:08.652142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종인허가구분
종1.0000.000
인허가구분0.0001.000
2023-12-12T20:12:08.810447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종인허가구분
종1.0000.000
인허가구분0.0001.000

Missing values

2023-12-12T20:12:01.646843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:12:01.872770image/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

사업장명소재지도로명소재지대표업종종인허가등록일자휴폐업구분폐업일자인허가구분데이터기준일
0한덕판지공업(주)경기도 시흥시 미산동 304경기도 시흥시 시흥대로 890 (미산동)종이제품제조4종2006-09-12<NA><NA>신고2023-05-26
1시흥카독크(주)경기도 시흥시 신천동 862-1 (구 62-4)경기도 시흥시 포도원로116번길 2 (신천동)자동차 종합수리업5종1993-10-14<NA><NA>신고2023-05-26
2(주)대생산업경기도 시흥시 조남동 218-5번지경기도 시흥시 동서로 981 (조남동)폐기물 처리업(382)5종1997-05-20<NA><NA>신고2023-05-26
3(주)보성화학경기도 시흥시 신천동 861-10 (구 66-6)경기도 시흥시 포도원로116번길 13 (신천동 (구 66-6))고무제품제조업4종1995-04-26<NA><NA>신고2023-05-26
4(주)승리분체경기도 시흥시 신천동 861-8경기도 시흥시 신천로43번길 6 (신천동)도장 및 기타 피막처리업5종2007-03-23<NA><NA>신고2023-05-26
5한국철도공사 수도권철도차량정비단 시흥차량사업소경기도 시흥시 월곶동 800-1 한국철도공사 시흥차량사업소경기도 시흥시 봉화로 55 한국철도공사 시흥차량사업소 (월곶동)자동차 세차업4종2006-07-12<NA><NA>신고2023-05-26
6(주)한국지엠 시흥서비스센터경기도 시흥시 대야동 140-1 쉐보레자동차시흥서비스센터경기도 시흥시 호현로 148 쉐보레자동차시흥서비스센터 (대야동)자동차 종합수리업5종2001-04-24<NA><NA>신고2023-05-26
7보광산업사경기도 시흥시 과림동 187경기도 시흥시 금오로 555-1 (과림동)기타 전자부품제조업5종2002-11-19<NA><NA>신고2023-05-26
8정공사경기도 시흥시 신천동 863-26 (구 180-11번지)경기도 시흥시 두문로 62 (신천동 (구 180-11번지))그 외 기타 고무제품 제조업5종2002-12-09<NA><NA>신고2023-05-26
9양양산업(주)경기도 시흥시 미산동 288-4번지경기도 시흥시 시흥대로 908-11치약 비누 및 기타세제 제조업5종2003-12-18<NA><NA>신고2023-05-26
사업장명소재지도로명소재지대표업종종인허가등록일자휴폐업구분폐업일자인허가구분데이터기준일
48신창금속경기도 시흥시 신천동 863-39경기도 시흥시 포도원로116번길 22-2 3층 (신천동)스크린인쇄업5종2021-12-03<NA><NA>신고2023-05-26
49주식회사 대림오토경기도 시흥시 대야동 664-7경기도 시흥시 은계중앙로306번길 40 (대야동)플라스틱제품 제조업5종2021-12-21<NA><NA>신고2023-05-26
50주식회사지구환경경기도 시흥시 월곶동 802 (주)지구환경경기도 시흥시 서해안로736번길 22 (주)지구환경 (월곶동)폐기물 수집운반 처리 및 원료재생업5종2021-12-13<NA><NA>신고2023-05-26
51㈜페트로코너지경기도 시흥시 배곧동 300-3 (안산도시개발 배곧가압장 내)경기도 시흥시 서울대학로 59-5 (안산도시개발 배곧가압장 내) (배곧동)발전업5종2022-01-27<NA><NA>신고2023-05-26
52한국산업은행 시화지점경기도 시흥시 정왕동 1726-5 한국산업은행경기도 시흥시 정왕대로 188 한국산업은행 (정왕동)일반 은행5종2022-02-11<NA><NA>신고2023-05-26
53대경모터스경기도 시흥시 포동 5-86경기도 시흥시 신현로38번길 4-1 (포동)자동차 종합수리업5종2022-02-22<NA><NA>신고2023-05-26
54㈜엔씨솔루션경기도 시흥시 배곧동 291-1경기도 시흥시 서울대학로 59-47 509호 (배곧동)계면활성제 제조업5종2022-05-04<NA><NA>신고2023-05-26
55롯데쇼핑(주)롯데마트 시흥점경기도 시흥시 대야동 542 롯데마트 시흥점경기도 시흥시 비둘기공원로 28 (대야동)대형 종합 소매업5종2022-08-16<NA><NA>신고2023-05-26
56여민산업경기도 시흥시 조남동 81-1경기도 시흥시 수인로 2164-6 (조남동)비거주용 건물 임대업4종2022-12-22<NA><NA>신고2023-05-26
57(주)두윤테크경기도 시흥시 대야동 664-6경기도 시흥시 은계중앙로306번길 36 1동 5층 503호 (대야동)그외 기타5종2023-03-09<NA><NA>신고2023-05-26