Overview

Dataset statistics

Number of variables33
Number of observations50
Missing cells789
Missing cells (%)47.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.9 KiB
Average record size in memory284.6 B

Variable types

Categorical8
Numeric4
DateTime3
Unsupported11
Text7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),환경업무구분명,업종구분명,종별명,주생산품명,배출시설조업시간,배출시설연간가동일수,방지시설조업시간,방지시설연간가동일수
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-19345/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 is highly imbalanced (67.3%)Imbalance
환경업무구분명 is highly imbalanced (75.8%)Imbalance
인허가취소일자 has 50 (100.0%) missing valuesMissing
폐업일자 has 29 (58.0%) missing valuesMissing
휴업시작일자 has 50 (100.0%) missing valuesMissing
휴업종료일자 has 50 (100.0%) missing valuesMissing
재개업일자 has 50 (100.0%) missing valuesMissing
전화번호 has 42 (84.0%) missing valuesMissing
소재지면적 has 50 (100.0%) missing valuesMissing
도로명주소 has 18 (36.0%) missing valuesMissing
도로명우편번호 has 46 (92.0%) missing valuesMissing
업태구분명 has 46 (92.0%) missing valuesMissing
좌표정보(X) has 6 (12.0%) missing valuesMissing
좌표정보(Y) has 6 (12.0%) missing valuesMissing
업종구분명 has 46 (92.0%) missing valuesMissing
종별명 has 50 (100.0%) missing valuesMissing
주생산품명 has 50 (100.0%) missing valuesMissing
배출시설조업시간 has 50 (100.0%) missing valuesMissing
배출시설연간가동일수 has 50 (100.0%) missing valuesMissing
방지시설조업시간 has 50 (100.0%) missing valuesMissing
방지시설연간가동일수 has 50 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
종별명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주생산품명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배출시설연간가동일수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방지시설연간가동일수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:54:09.088806
Analysis finished2024-04-29 19:54:09.780138
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3180000
50 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 50
100.0%

Length

2024-04-30T04:54:09.854340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:09.940009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 50
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1800005 × 1017
Minimum3.1800005 × 1017
Maximum3.1800005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-30T04:54:10.027458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1800005 × 1017
5-th percentile3.1800005 × 1017
Q13.1800005 × 1017
median3.1800005 × 1017
Q33.1800005 × 1017
95-th percentile3.1800005 × 1017
Maximum3.1800005 × 1017
Range2.018 × 108
Interquartile range (IQR)400000

Descriptive statistics

Standard deviation28336957
Coefficient of variation (CV)8.9109911 × 10-11
Kurtosis49.977185
Mean3.1800005 × 1017
Median Absolute Deviation (MAD)0
Skewness-7.0686881
Sum-2.5467414 × 1018
Variance8.029831 × 1014
MonotonicityStrictly increasing
2024-04-30T04:54:10.144392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
318000054000000001 1
 
2.0%
318000054200500003 1
 
2.0%
318000054200200001 1
 
2.0%
318000054200200002 1
 
2.0%
318000054200200003 1
 
2.0%
318000054200200004 1
 
2.0%
318000054200300001 1
 
2.0%
318000054200300002 1
 
2.0%
318000054200300003 1
 
2.0%
318000054200400001 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
318000054000000001 1
2.0%
318000054200100001 1
2.0%
318000054200100002 1
2.0%
318000054200100003 1
2.0%
318000054200100005 1
2.0%
318000054200100006 1
2.0%
318000054200100007 1
2.0%
318000054200100008 1
2.0%
318000054200100009 1
2.0%
318000054200100010 1
2.0%
ValueCountFrequency (%)
318000054201800001 1
2.0%
318000054201600002 1
2.0%
318000054201600001 1
2.0%
318000054201000001 1
2.0%
318000054200900002 1
2.0%
318000054200800001 1
2.0%
318000054200700002 1
2.0%
318000054200700001 1
2.0%
318000054200600005 1
2.0%
318000054200600004 1
2.0%

인허가일자
Date

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum1994-05-25 00:00:00
Maximum2018-05-15 00:00:00
2024-04-30T04:54:10.252376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:54:10.357425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
29 
3
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
1 29
58.0%
3 21
42.0%

Length

2024-04-30T04:54:10.477146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:10.556288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
58.0%
3 21
42.0%

영업상태명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업/정상
29 
폐업
21 

Length

Max length5
Median length5
Mean length3.74
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업/정상
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업/정상 29
58.0%
폐업 21
42.0%

Length

2024-04-30T04:54:10.640425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:10.720003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
58.0%
폐업 21
42.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
11
29 
2
21 

Length

Max length2
Median length2
Mean length1.58
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row11
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
11 29
58.0%
2 21
42.0%

Length

2024-04-30T04:54:10.803047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:10.882949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 29
58.0%
2 21
42.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업
29 
폐업
21 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row영업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
영업 29
58.0%
폐업 21
42.0%

Length

2024-04-30T04:54:10.962706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:11.033767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 29
58.0%
폐업 21
42.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)90.5%
Missing29
Missing (%)58.0%
Infinite0
Infinite (%)0.0%
Mean20050209
Minimum20010226
Maximum20170302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-30T04:54:11.115289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010226
5-th percentile20010226
Q120021207
median20040202
Q320061214
95-th percentile20120518
Maximum20170302
Range160076
Interquartile range (IQR)40007

Descriptive statistics

Standard deviation40485.031
Coefficient of variation (CV)0.0020191825
Kurtosis2.7978524
Mean20050209
Median Absolute Deviation (MAD)19996
Skewness1.6254254
Sum4.210544 × 108
Variance1.6390378 × 109
MonotonicityNot monotonic
2024-04-30T04:54:11.217578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20010226 2
 
4.0%
20020206 2
 
4.0%
20031022 1
 
2.0%
20170302 1
 
2.0%
20081205 1
 
2.0%
20101103 1
 
2.0%
20120518 1
 
2.0%
20060615 1
 
2.0%
20061214 1
 
2.0%
20050617 1
 
2.0%
Other values (9) 9
 
18.0%
(Missing) 29
58.0%
ValueCountFrequency (%)
20010226 2
4.0%
20010323 1
2.0%
20020206 2
4.0%
20021207 1
2.0%
20030626 1
2.0%
20030908 1
2.0%
20031022 1
2.0%
20031222 1
2.0%
20040202 1
2.0%
20040511 1
2.0%
ValueCountFrequency (%)
20170302 1
2.0%
20120518 1
2.0%
20101103 1
2.0%
20081205 1
2.0%
20071130 1
2.0%
20061214 1
2.0%
20060615 1
2.0%
20050617 1
2.0%
20040809 1
2.0%
20040511 1
2.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

전화번호
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing42
Missing (%)84.0%
Memory size532.0 B
2024-04-30T04:54:11.362928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.25
Min length8

Characters and Unicode

Total characters82
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row027308221
2nd row02 7833769
3rd row3782-0114
4th row2671-5664
5th row26609645
ValueCountFrequency (%)
027308221 1
11.1%
02 1
11.1%
7833769 1
11.1%
3782-0114 1
11.1%
2671-5664 1
11.1%
26609645 1
11.1%
02-780-6363 1
11.1%
02-2257-8200 1
11.1%
02-6150-7433 1
11.1%
2024-04-30T04:54:11.611588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 13
15.9%
0 12
14.6%
6 10
12.2%
7 8
9.8%
3 8
9.8%
- 8
9.8%
8 5
 
6.1%
1 5
 
6.1%
4 4
 
4.9%
5 4
 
4.9%
Other values (2) 5
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71
86.6%
Dash Punctuation 8
 
9.8%
Space Separator 3
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 13
18.3%
0 12
16.9%
6 10
14.1%
7 8
11.3%
3 8
11.3%
8 5
 
7.0%
1 5
 
7.0%
4 4
 
5.6%
5 4
 
5.6%
9 2
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 82
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 13
15.9%
0 12
14.6%
6 10
12.2%
7 8
9.8%
3 8
9.8%
- 8
9.8%
8 5
 
6.1%
1 5
 
6.1%
4 4
 
4.9%
5 4
 
4.9%
Other values (2) 5
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 82
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 13
15.9%
0 12
14.6%
6 10
12.2%
7 8
9.8%
3 8
9.8%
- 8
9.8%
8 5
 
6.1%
1 5
 
6.1%
4 4
 
4.9%
5 4
 
4.9%
Other values (2) 5
 
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소재지우편번호
Categorical

Distinct19
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
150010
15 
150070
6 
<NA>
5 
150050
3 
150102
2 
Other values (14)
19 

Length

Max length7
Median length6
Mean length5.82
Min length4

Unique

Unique9 ?
Unique (%)18.0%

Sample

1st row150070
2nd row<NA>
3rd row150010
4th row150010
5th row150010

Common Values

ValueCountFrequency (%)
150010 15
30.0%
150070 6
 
12.0%
<NA> 5
 
10.0%
150050 3
 
6.0%
150102 2
 
4.0%
150104 2
 
4.0%
150046 2
 
4.0%
null 2
 
4.0%
150103 2
 
4.0%
150040 2
 
4.0%
Other values (9) 9
18.0%

Length

2024-04-30T04:54:11.721616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
150010 15
30.0%
150070 6
 
12.0%
na 5
 
10.0%
150050 3
 
6.0%
null 2
 
4.0%
150103 2
 
4.0%
150040 2
 
4.0%
150046 2
 
4.0%
150104 2
 
4.0%
150102 2
 
4.0%
Other values (9) 9
18.0%

지번주소
Text

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-30T04:54:11.909687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length22.54
Min length16

Characters and Unicode

Total characters1127
Distinct characters57
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

Unique42 ?
Unique (%)84.0%

Sample

1st row서울특별시 영등포구 대림동 879-1
2nd row서울특별시 영등포구 여의도동
3rd row서울특별시 영등포구 여의도동 15-3
4th row서울특별시 영등포구 여의도동 12-5
5th row서울특별시 영등포구 여의도동 34-3
ValueCountFrequency (%)
서울특별시 50
24.0%
영등포구 50
24.0%
여의도동 19
 
9.1%
대림동 7
 
3.4%
121-81 4
 
1.9%
양평동3가 4
 
1.9%
양평동4가 3
 
1.4%
당산동6가 3
 
1.4%
당산동 3
 
1.4%
신길동 3
 
1.4%
Other values (57) 62
29.8%
2024-04-30T04:54:12.189448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
205
18.2%
영 51
 
4.5%
등 51
 
4.5%
포 51
 
4.5%
서 50
 
4.4%
울 50
 
4.4%
특 50
 
4.4%
별 50
 
4.4%
시 50
 
4.4%
구 50
 
4.4%
Other values (47) 469
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 669
59.4%
Decimal Number 208
 
18.5%
Space Separator 205
 
18.2%
Dash Punctuation 43
 
3.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 51
 
7.6%
등 51
 
7.6%
포 51
 
7.6%
서 50
 
7.5%
울 50
 
7.5%
특 50
 
7.5%
별 50
 
7.5%
시 50
 
7.5%
구 50
 
7.5%
동 50
 
7.5%
Other values (33) 166
24.8%
Decimal Number
ValueCountFrequency (%)
1 48
23.1%
3 32
15.4%
2 30
14.4%
6 22
10.6%
4 20
9.6%
7 13
 
6.2%
0 12
 
5.8%
8 12
 
5.8%
5 12
 
5.8%
9 7
 
3.4%
Space Separator
ValueCountFrequency (%)
205
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 669
59.4%
Common 458
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 51
 
7.6%
등 51
 
7.6%
포 51
 
7.6%
서 50
 
7.5%
울 50
 
7.5%
특 50
 
7.5%
별 50
 
7.5%
시 50
 
7.5%
구 50
 
7.5%
동 50
 
7.5%
Other values (33) 166
24.8%
Common
ValueCountFrequency (%)
205
44.8%
1 48
 
10.5%
- 43
 
9.4%
3 32
 
7.0%
2 30
 
6.6%
6 22
 
4.8%
4 20
 
4.4%
7 13
 
2.8%
0 12
 
2.6%
8 12
 
2.6%
Other values (4) 21
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 669
59.4%
ASCII 458
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
205
44.8%
1 48
 
10.5%
- 43
 
9.4%
3 32
 
7.0%
2 30
 
6.6%
6 22
 
4.8%
4 20
 
4.4%
7 13
 
2.8%
0 12
 
2.6%
8 12
 
2.6%
Other values (4) 21
 
4.6%
Hangul
ValueCountFrequency (%)
영 51
 
7.6%
등 51
 
7.6%
포 51
 
7.6%
서 50
 
7.5%
울 50
 
7.5%
특 50
 
7.5%
별 50
 
7.5%
시 50
 
7.5%
구 50
 
7.5%
동 50
 
7.5%
Other values (33) 166
24.8%

도로명주소
Text

MISSING 

Distinct29
Distinct (%)90.6%
Missing18
Missing (%)36.0%
Memory size532.0 B
2024-04-30T04:54:12.398267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length43
Mean length29.46875
Min length25

Characters and Unicode

Total characters943
Distinct characters80
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

Unique26 ?
Unique (%)81.2%

Sample

1st row서울특별시 영등포구 디지털로 413 (대림동)
2nd row서울특별시 영등포구 국회대로76길 33 (여의도동)
3rd row서울특별시 영등포구 국제금융로 56 (여의도동)
4th row서울특별시 영등포구 양산로 77 (양평동3가)
5th row서울특별시 영등포구 국회대로68길 23 (여의도동)
ValueCountFrequency (%)
서울특별시 32
19.3%
영등포구 32
19.3%
여의도동 12
 
7.2%
선유로 4
 
2.4%
대림동 3
 
1.8%
양평동4가 3
 
1.8%
국회대로76길 3
 
1.8%
23 2
 
1.2%
18 2
 
1.2%
양평동3가 2
 
1.2%
Other values (61) 71
42.8%
2024-04-30T04:54:12.706433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
 
17.1%
영 35
 
3.7%
등 35
 
3.7%
포 35
 
3.7%
) 33
 
3.5%
시 33
 
3.5%
( 33
 
3.5%
서 32
 
3.4%
울 32
 
3.4%
동 32
 
3.4%
Other values (70) 482
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 584
61.9%
Space Separator 161
 
17.1%
Decimal Number 123
 
13.0%
Close Punctuation 33
 
3.5%
Open Punctuation 33
 
3.5%
Other Punctuation 6
 
0.6%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 35
 
6.0%
등 35
 
6.0%
포 35
 
6.0%
시 33
 
5.7%
서 32
 
5.5%
울 32
 
5.5%
동 32
 
5.5%
로 32
 
5.5%
구 32
 
5.5%
별 32
 
5.5%
Other values (55) 254
43.5%
Decimal Number
ValueCountFrequency (%)
1 22
17.9%
2 21
17.1%
3 18
14.6%
6 15
12.2%
4 12
9.8%
7 11
8.9%
9 7
 
5.7%
0 6
 
4.9%
5 6
 
4.9%
8 5
 
4.1%
Space Separator
ValueCountFrequency (%)
161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 584
61.9%
Common 359
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 35
 
6.0%
등 35
 
6.0%
포 35
 
6.0%
시 33
 
5.7%
서 32
 
5.5%
울 32
 
5.5%
동 32
 
5.5%
로 32
 
5.5%
구 32
 
5.5%
별 32
 
5.5%
Other values (55) 254
43.5%
Common
ValueCountFrequency (%)
161
44.8%
) 33
 
9.2%
( 33
 
9.2%
1 22
 
6.1%
2 21
 
5.8%
3 18
 
5.0%
6 15
 
4.2%
4 12
 
3.3%
7 11
 
3.1%
9 7
 
1.9%
Other values (5) 26
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 584
61.9%
ASCII 359
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
161
44.8%
) 33
 
9.2%
( 33
 
9.2%
1 22
 
6.1%
2 21
 
5.8%
3 18
 
5.0%
6 15
 
4.2%
4 12
 
3.3%
7 11
 
3.1%
9 7
 
1.9%
Other values (5) 26
 
7.2%
Hangul
ValueCountFrequency (%)
영 35
 
6.0%
등 35
 
6.0%
포 35
 
6.0%
시 33
 
5.7%
서 32
 
5.5%
울 32
 
5.5%
동 32
 
5.5%
로 32
 
5.5%
구 32
 
5.5%
별 32
 
5.5%
Other values (55) 254
43.5%

도로명우편번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing46
Missing (%)92.0%
Memory size532.0 B
2024-04-30T04:54:12.845162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.5
Min length5

Characters and Unicode

Total characters22
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row150-103
2nd row07338
3rd row07282
4th row07325
ValueCountFrequency (%)
150-103 1
25.0%
07338 1
25.0%
07282 1
25.0%
07325 1
25.0%
2024-04-30T04:54:13.092840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
22.7%
3 4
18.2%
7 3
13.6%
2 3
13.6%
1 2
 
9.1%
5 2
 
9.1%
8 2
 
9.1%
- 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21
95.5%
Dash Punctuation 1
 
4.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
23.8%
3 4
19.0%
7 3
14.3%
2 3
14.3%
1 2
 
9.5%
5 2
 
9.5%
8 2
 
9.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
22.7%
3 4
18.2%
7 3
13.6%
2 3
13.6%
1 2
 
9.1%
5 2
 
9.1%
8 2
 
9.1%
- 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
22.7%
3 4
18.2%
7 3
13.6%
2 3
13.6%
1 2
 
9.1%
5 2
 
9.1%
8 2
 
9.1%
- 1
 
4.5%

사업장명
Text

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-30T04:54:13.282128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9.5
Mean length7.68
Min length4

Characters and Unicode

Total characters384
Distinct characters99
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)84.0%

Sample

1st row주용환경컨설팅(주)
2nd row대림산업(주)
3rd row미주실업(주)
4th row대한민국 상이군경회
5th row경남기업(주)
ValueCountFrequency (%)
주용환경컨설팅(주 2
 
3.8%
수안건설(주 2
 
3.8%
주)청우이엔이 2
 
3.8%
투원퓨어텍(주 2
 
3.8%
씨케이에코(주 1
 
1.9%
수림환경 1
 
1.9%
주)세일종합기술공사 1
 
1.9%
주 1
 
1.9%
이앤엠코리아 1
 
1.9%
mh기업 1
 
1.9%
Other values (38) 38
73.1%
2024-04-30T04:54:13.623546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 47
 
12.2%
( 42
 
10.9%
) 42
 
10.9%
경 15
 
3.9%
환 13
 
3.4%
이 12
 
3.1%
엔 9
 
2.3%
지 8
 
2.1%
기 7
 
1.8%
설 7
 
1.8%
Other values (89) 182
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
76.3%
Open Punctuation 42
 
10.9%
Close Punctuation 42
 
10.9%
Uppercase Letter 5
 
1.3%
Space Separator 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 47
 
16.0%
경 15
 
5.1%
환 13
 
4.4%
이 12
 
4.1%
엔 9
 
3.1%
지 8
 
2.7%
기 7
 
2.4%
설 7
 
2.4%
산 6
 
2.0%
건 6
 
2.0%
Other values (81) 163
55.6%
Uppercase Letter
ValueCountFrequency (%)
M 1
20.0%
H 1
20.0%
F 1
20.0%
R 1
20.0%
P 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
76.3%
Common 86
 
22.4%
Latin 5
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 47
 
16.0%
경 15
 
5.1%
환 13
 
4.4%
이 12
 
4.1%
엔 9
 
3.1%
지 8
 
2.7%
기 7
 
2.4%
설 7
 
2.4%
산 6
 
2.0%
건 6
 
2.0%
Other values (81) 163
55.6%
Latin
ValueCountFrequency (%)
M 1
20.0%
H 1
20.0%
F 1
20.0%
R 1
20.0%
P 1
20.0%
Common
ValueCountFrequency (%)
( 42
48.8%
) 42
48.8%
2
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 293
76.3%
ASCII 91
 
23.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 47
 
16.0%
경 15
 
5.1%
환 13
 
4.4%
이 12
 
4.1%
엔 9
 
3.1%
지 8
 
2.7%
기 7
 
2.4%
설 7
 
2.4%
산 6
 
2.0%
건 6
 
2.0%
Other values (81) 163
55.6%
ASCII
ValueCountFrequency (%)
( 42
46.2%
) 42
46.2%
2
 
2.2%
M 1
 
1.1%
H 1
 
1.1%
F 1
 
1.1%
R 1
 
1.1%
P 1
 
1.1%

최종수정일자
Date

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2001-02-02 14:32:55
Maximum2023-11-09 09:08:50
2024-04-30T04:54:13.754826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:54:13.862545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
I
47 
U
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 47
94.0%
U 3
 
6.0%

Length

2024-04-30T04:54:13.973455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:14.045894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 47
94.0%
u 3
 
6.0%

데이터갱신일자
Date

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-04 00:05:00
2024-04-30T04:54:14.110739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:54:14.210645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

업태구분명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing46
Missing (%)92.0%
Memory size532.0 B
2024-04-30T04:54:14.336076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length12.25
Min length6

Characters and Unicode

Total characters49
Distinct characters30
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row토목 건설업
2nd row폐기물 처리 및 오염방지시설 건설업
3rd row축산관련 서비스업
4th row건물용 기계장비 설치 공사업
ValueCountFrequency (%)
건설업 2
15.4%
토목 1
7.7%
폐기물 1
7.7%
처리 1
7.7%
및 1
7.7%
오염방지시설 1
7.7%
축산관련 1
7.7%
서비스업 1
7.7%
건물용 1
7.7%
기계장비 1
7.7%
Other values (2) 2
15.4%
2024-04-30T04:54:14.585358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
18.4%
설 4
 
8.2%
업 4
 
8.2%
건 3
 
6.1%
기 2
 
4.1%
물 2
 
4.1%
비 2
 
4.1%
토 1
 
2.0%
용 1
 
2.0%
련 1
 
2.0%
Other values (20) 20
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40
81.6%
Space Separator 9
 
18.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 4
 
10.0%
업 4
 
10.0%
건 3
 
7.5%
기 2
 
5.0%
물 2
 
5.0%
비 2
 
5.0%
토 1
 
2.5%
용 1
 
2.5%
련 1
 
2.5%
서 1
 
2.5%
Other values (19) 19
47.5%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40
81.6%
Common 9
 
18.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 4
 
10.0%
업 4
 
10.0%
건 3
 
7.5%
기 2
 
5.0%
물 2
 
5.0%
비 2
 
5.0%
토 1
 
2.5%
용 1
 
2.5%
련 1
 
2.5%
서 1
 
2.5%
Other values (19) 19
47.5%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40
81.6%
ASCII 9
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
100.0%
Hangul
ValueCountFrequency (%)
설 4
 
10.0%
업 4
 
10.0%
건 3
 
7.5%
기 2
 
5.0%
물 2
 
5.0%
비 2
 
5.0%
토 1
 
2.5%
용 1
 
2.5%
련 1
 
2.5%
서 1
 
2.5%
Other values (19) 19
47.5%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)90.9%
Missing6
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean191870.35
Minimum189555.42
Maximum193927.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-30T04:54:14.710379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189555.42
5-th percentile189925.93
Q1190889.12
median191807.9
Q3192962.23
95-th percentile193733.66
Maximum193927.97
Range4372.5429
Interquartile range (IQR)2073.1177

Descriptive statistics

Standard deviation1248.0294
Coefficient of variation (CV)0.0065045455
Kurtosis-1.2576785
Mean191870.35
Median Absolute Deviation (MAD)1114.9516
Skewness-0.08125823
Sum8442295.2
Variance1557577.4
MonotonicityNot monotonic
2024-04-30T04:54:14.828248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
192591.242714045 2
 
4.0%
191807.8976116 2
 
4.0%
190907.518210963 2
 
4.0%
191453.139097897 2
 
4.0%
192894.437488166 1
 
2.0%
190833.909929016 1
 
2.0%
193737.480223837 1
 
2.0%
193026.875747265 1
 
2.0%
193781.852246267 1
 
2.0%
192015.086318365 1
 
2.0%
Other values (30) 30
60.0%
(Missing) 6
 
12.0%
ValueCountFrequency (%)
189555.4232363 1
2.0%
189604.964351874 1
2.0%
189849.410292461 1
2.0%
190359.568822627 1
2.0%
190364.652010662 1
2.0%
190514.917115127 1
2.0%
190638.331653624 1
2.0%
190670.211682051 1
2.0%
190678.828150033 1
2.0%
190701.543638236 1
2.0%
ValueCountFrequency (%)
193927.966148686 1
2.0%
193781.852246267 1
2.0%
193737.480223837 1
2.0%
193711.992981014 1
2.0%
193289.927062166 1
2.0%
193224.517898023 1
2.0%
193065.323272281 1
2.0%
193057.414953819 1
2.0%
193033.486412147 1
2.0%
193026.875747265 1
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)90.9%
Missing6
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean446551.8
Minimum443480.58
Maximum448785.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-30T04:54:15.102206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443480.58
5-th percentile443805.57
Q1446350.09
median447074.23
Q3447453.56
95-th percentile448278.5
Maximum448785.23
Range5304.6489
Interquartile range (IQR)1103.4701

Descriptive statistics

Standard deviation1504.4727
Coefficient of variation (CV)0.0033690889
Kurtosis-0.23065052
Mean446551.8
Median Absolute Deviation (MAD)460.18442
Skewness-0.99711306
Sum19648279
Variance2263438
MonotonicityNot monotonic
2024-04-30T04:54:15.208181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
443928.909668748 2
 
4.0%
447406.799650264 2
 
4.0%
448278.496649326 2
 
4.0%
443480.577591489 2
 
4.0%
447360.835255288 1
 
2.0%
443799.711070574 1
 
2.0%
446434.303266393 1
 
2.0%
447427.783375434 1
 
2.0%
446488.190917868 1
 
2.0%
446654.339017223 1
 
2.0%
Other values (30) 30
60.0%
(Missing) 6
 
12.0%
ValueCountFrequency (%)
443480.577591489 2
4.0%
443799.711070574 1
2.0%
443838.749034997 1
2.0%
443869.390677859 1
2.0%
443928.909668748 2
4.0%
444081.774472054 1
2.0%
444223.424764374 1
2.0%
445739.375288935 1
2.0%
446314.681885687 1
2.0%
446361.891182393 1
2.0%
ValueCountFrequency (%)
448785.226481149 1
2.0%
448399.365382151 1
2.0%
448278.496649326 2
4.0%
447951.84799243 1
2.0%
447849.294135628 1
2.0%
447539.749512223 1
2.0%
447529.082521039 1
2.0%
447509.80874155 1
2.0%
447494.221918799 1
2.0%
447474.871771651 1
2.0%

환경업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
분뇨등설계시공업관리
48 
<NA>
 
2

Length

Max length10
Median length10
Mean length9.76
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨등설계시공업관리 48
96.0%
<NA> 2
 
4.0%

Length

2024-04-30T04:54:15.320490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:54:15.405596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등설계시공업관리 48
96.0%
na 2
 
4.0%

업종구분명
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing46
Missing (%)92.0%
Memory size532.0 B
2024-04-30T04:54:15.519041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length12.25
Min length6

Characters and Unicode

Total characters49
Distinct characters30
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row토목 건설업
2nd row폐기물 처리 및 오염방지시설 건설업
3rd row축산관련 서비스업
4th row건물용 기계장비 설치 공사업
ValueCountFrequency (%)
건설업 2
15.4%
토목 1
7.7%
폐기물 1
7.7%
처리 1
7.7%
및 1
7.7%
오염방지시설 1
7.7%
축산관련 1
7.7%
서비스업 1
7.7%
건물용 1
7.7%
기계장비 1
7.7%
Other values (2) 2
15.4%
2024-04-30T04:54:15.776985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9
18.4%
설 4
 
8.2%
업 4
 
8.2%
건 3
 
6.1%
기 2
 
4.1%
물 2
 
4.1%
비 2
 
4.1%
토 1
 
2.0%
용 1
 
2.0%
련 1
 
2.0%
Other values (20) 20
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40
81.6%
Space Separator 9
 
18.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 4
 
10.0%
업 4
 
10.0%
건 3
 
7.5%
기 2
 
5.0%
물 2
 
5.0%
비 2
 
5.0%
토 1
 
2.5%
용 1
 
2.5%
련 1
 
2.5%
서 1
 
2.5%
Other values (19) 19
47.5%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40
81.6%
Common 9
 
18.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 4
 
10.0%
업 4
 
10.0%
건 3
 
7.5%
기 2
 
5.0%
물 2
 
5.0%
비 2
 
5.0%
토 1
 
2.5%
용 1
 
2.5%
련 1
 
2.5%
서 1
 
2.5%
Other values (19) 19
47.5%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40
81.6%
ASCII 9
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9
100.0%
Hangul
ValueCountFrequency (%)
설 4
 
10.0%
업 4
 
10.0%
건 3
 
7.5%
기 2
 
5.0%
물 2
 
5.0%
비 2
 
5.0%
토 1
 
2.5%
용 1
 
2.5%
련 1
 
2.5%
서 1
 
2.5%
Other values (19) 19
47.5%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

배출시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

방지시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0318000031800005400000000120021101<NA>3폐업2폐업20040809<NA><NA><NA><NA><NA>150070서울특별시 영등포구 대림동 879-1서울특별시 영등포구 디지털로 413 (대림동)<NA>주용환경컨설팅(주)2009-03-16 09:12:51I2018-08-31 23:59:59.0<NA>191453.139098443480.577591분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
1318000031800005420010000120010202<NA>1영업/정상11영업<NA><NA><NA><NA>027308221<NA><NA>서울특별시 영등포구 여의도동<NA><NA>대림산업(주)2001-02-02 14:32:55I2018-08-31 23:59:59.0토목 건설업<NA><NA>분뇨등설계시공업관리토목 건설업<NA><NA><NA><NA><NA><NA>
2318000031800005420010000219950607<NA>3폐업2폐업20010323<NA><NA><NA>02 7833769<NA>150010서울특별시 영등포구 여의도동 15-3<NA><NA>미주실업(주)2001-02-07 13:08:08I2018-08-31 23:59:59.0폐기물 처리 및 오염방지시설 건설업192802.57413447420.296576분뇨등설계시공업관리폐기물 처리 및 오염방지시설 건설업<NA><NA><NA><NA><NA><NA>
3318000031800005420010000320010223<NA>3폐업2폐업20030908<NA><NA><NA><NA><NA>150010서울특별시 영등포구 여의도동 12-5서울특별시 영등포구 국회대로76길 33 (여의도동)<NA>대한민국 상이군경회2004-08-06 16:37:56I2018-08-31 23:59:59.0<NA>193224.517898447474.871772분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
4318000031800005420010000519940525<NA>3폐업2폐업20010226<NA><NA><NA><NA><NA>150010서울특별시 영등포구 여의도동 34-3서울특별시 영등포구 국제금융로 56 (여의도동)<NA>경남기업(주)2004-08-06 16:39:50I2018-08-31 23:59:59.0<NA>193711.992981446672.448983분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
5318000031800005420010000619960403<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>150010서울특별시 영등포구 여의도동 12-25<NA><NA>벽산(주)2001-02-23 10:55:55I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
6318000031800005420010000719970107<NA>3폐업2폐업20031222<NA><NA><NA><NA><NA>150103서울특별시 영등포구 양평동3가 1-2서울특별시 영등포구 양산로 77 (양평동3가)<NA>동국환경(주)2004-08-06 16:40:23I2018-08-31 23:59:59.0<NA>190359.568823446969.316786분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
7318000031800005420010000819971104<NA>3폐업2폐업20020206<NA><NA><NA><NA><NA>150010서울특별시 영등포구 여의도동 14-32서울특별시 영등포구 국회대로68길 23 (여의도동)<NA>제일FRP산업(주)2004-08-06 16:40:58I2018-08-31 23:59:59.0<NA>192894.437488447360.835255분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
8318000031800005420010000919980220<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>150070서울특별시 영등포구 대림동 723-1<NA><NA>(주)차세대환경2001-02-23 11:24:56I2018-08-31 23:59:59.0<NA>190833.909929443799.711071분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
9318000031800005420010001019990125<NA>3폐업2폐업20071130<NA><NA><NA><NA><NA>150050서울특별시 영등포구 신길동 4403서울특별시 영등포구 여의대방로 93-1 (신길동)<NA>(주)청우이엔이2007-11-30 12:54:15I2018-08-31 23:59:59.0<NA>192591.242714443928.909669분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
40318000031800005420060000420060817<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>150071서울특별시 영등포구 대림동 879-1<NA><NA>주용환경컨설팅(주)2008-11-07 17:34:24I2018-08-31 23:59:59.0<NA>191453.139098443480.577591분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
41318000031800005420060000520061114<NA>3폐업2폐업20120518<NA><NA><NA><NA><NA>null서울특별시 영등포구 양평동3가 46 이앤씨드림타워 607호서울특별시 영등포구 선유로 146, 607호 (양평동3가,이앤씨드림타워)<NA>수안건설(주)2016-12-02 13:27:19I2018-08-31 23:59:59.0<NA>190364.652011447158.946262분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
42318000031800005420070000120070704<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>150040서울특별시 영등포구 당산동 121-81서울특별시 영등포구 버드나루로 120 (당산동)<NA>투원퓨어텍(주)2011-10-20 15:07:34I2018-08-31 23:59:59.0<NA>191807.897612447406.79965분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
43318000031800005420070000220071227<NA>3폐업2폐업20101103<NA><NA><NA><NA><NA>150070서울특별시 영등포구 대림동 693-1서울특별시 영등포구 대림로 178 (대림동)<NA>(주)보장건설2010-11-03 15:49:37I2018-08-31 23:59:59.0<NA>191037.677472443838.749035분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
44318000031800005420080000120080306<NA>3폐업2폐업20081205<NA><NA><NA><NA><NA>150050서울특별시 영등포구 신길동 4403서울특별시 영등포구 여의대방로 93-1 (신길동)<NA>(주)청우이엔이2008-12-05 11:22:08I2018-08-31 23:59:59.0<NA>192591.242714443928.909669분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
45318000031800005420090000220090402<NA>1영업/정상11영업<NA><NA><NA><NA>26609645<NA>150866서울특별시 영등포구 양평동4가 7-3서울특별시 영등포구 선유로 231 (양평동4가)<NA>(주)미래지앤씨2010-09-14 17:46:10I2018-08-31 23:59:59.0<NA>190701.543638447951.847992분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
46318000031800005420100000120100601<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>null서울특별시 영등포구 당산동 121-81서울특별시 영등포구 버드나루로 120 (당산동)<NA>투원퓨어텍(주)2013-12-02 13:33:13I2018-08-31 23:59:59.0<NA>191807.897612447406.79965분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
47318000031800005420160000120160624<NA>3폐업2폐업20170302<NA><NA><NA>02-780-6363<NA><NA>서울특별시 영등포구 여의도동 30-2 3층서울특별시 영등포구 국제금융로7길 15 (여의도동, 여의상가)07338씨케이에코(주)2017-03-02 09:35:01I2018-08-31 23:59:59.0<NA>193927.966149446968.725089분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
48318000031800005420160000220161202<NA>1영업/정상11영업<NA><NA><NA><NA>02-2257-8200<NA><NA>서울특별시 영등포구 문래동6가 24-1서울특별시 영등포구 선유로13길 25, 407호 (문래동6가, 에이스하이테크시티2)07282수안건설(주)2020-05-25 09:23:47U2020-05-27 02:40:00.0<NA>189849.410292446314.681886분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
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