Overview

Dataset statistics

Number of variables33
Number of observations26
Missing cells267
Missing cells (%)31.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory289.1 B

Variable types

Categorical13
Numeric5
DateTime3
Unsupported7
Text5

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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-19337/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
배출시설연간가동일수 is highly imbalanced (76.5%)Imbalance
방지시설연간가동일수 is highly imbalanced (76.5%)Imbalance
인허가취소일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 14 (53.8%) missing valuesMissing
소재지면적 has 26 (100.0%) missing valuesMissing
소재지우편번호 has 12 (46.2%) missing valuesMissing
도로명주소 has 2 (7.7%) missing valuesMissing
도로명우편번호 has 10 (38.5%) missing valuesMissing
업태구분명 has 23 (88.5%) missing valuesMissing
업종구분명 has 24 (92.3%) missing valuesMissing
종별명 has 26 (100.0%) missing valuesMissing
주생산품명 has 26 (100.0%) missing valuesMissing
배출시설조업시간 has 26 (100.0%) missing valuesMissing
방지시설조업시간 has 26 (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
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
방지시설조업시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 04:46:25.034512
Analysis finished2024-05-11 04:46:25.873690
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
3100000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 26
100.0%

Length

2024-05-11T04:46:26.078308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:26.456261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 26
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1000005 × 1017
Minimum3.1000005 × 1017
Maximum3.1000005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T04:46:26.845729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1000005 × 1017
5-th percentile3.1000005 × 1017
Q13.1000005 × 1017
median3.1000005 × 1017
Q33.1000005 × 1017
95-th percentile3.1000005 × 1017
Maximum3.1000005 × 1017
Range2.023 × 108
Interquartile range (IQR)1074944

Descriptive statistics

Standard deviation39453474
Coefficient of variation (CV)1.2726925 × 10-10
Kurtosis25.980247
Mean3.1000005 × 1017
Median Absolute Deviation (MAD)699968
Skewness-5.0962199
Sum8.0600014 × 1018
Variance1.5565766 × 1015
MonotonicityStrictly increasing
2024-05-11T04:46:27.402893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
310000054000000001 1
 
3.8%
310000054200800008 1
 
3.8%
310000054202300002 1
 
3.8%
310000054202300001 1
 
3.8%
310000054202200001 1
 
3.8%
310000054202100001 1
 
3.8%
310000054202000002 1
 
3.8%
310000054202000001 1
 
3.8%
310000054201800001 1
 
3.8%
310000054201700001 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
310000054000000001 1
3.8%
310000054199900004 1
3.8%
310000054200100001 1
3.8%
310000054200100002 1
3.8%
310000054200300001 1
3.8%
310000054200700001 1
3.8%
310000054200700002 1
3.8%
310000054200700003 1
3.8%
310000054200800001 1
3.8%
310000054200800002 1
3.8%
ValueCountFrequency (%)
310000054202300002 1
3.8%
310000054202300001 1
3.8%
310000054202200001 1
3.8%
310000054202100001 1
3.8%
310000054202000002 1
3.8%
310000054202000001 1
3.8%
310000054201800001 1
3.8%
310000054201700001 1
3.8%
310000054201600001 1
3.8%
310000054201500001 1
3.8%

인허가일자
Date

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum1999-08-06 00:00:00
Maximum2023-11-24 00:00:00
2024-05-11T04:46:27.935044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:46:28.423550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
19 
2
4 
3
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 19
73.1%
2 4
 
15.4%
3 3
 
11.5%

Length

2024-05-11T04:46:28.918479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:29.312584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
73.1%
2 4
 
15.4%
3 3
 
11.5%

영업상태명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업/정상
19 
휴업
4 
폐업
3 

Length

Max length5
Median length5
Mean length4.1923077
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 19
73.1%
휴업 4
 
15.4%
폐업 3
 
11.5%

Length

2024-05-11T04:46:29.799355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:30.209425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 19
73.1%
휴업 4
 
15.4%
폐업 3
 
11.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
11
19 
1
4 
2
3 

Length

Max length2
Median length2
Mean length1.7307692
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 19
73.1%
1 4
 
15.4%
2 3
 
11.5%

Length

2024-05-11T04:46:30.661949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:31.095092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 19
73.1%
1 4
 
15.4%
2 3
 
11.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업
19 
휴업
4 
폐업
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 19
73.1%
휴업 4
 
15.4%
폐업 3
 
11.5%

Length

2024-05-11T04:46:31.553924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:31.905274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 19
73.1%
휴업 4
 
15.4%
폐업 3
 
11.5%

폐업일자
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
23 
20110714
3 

Length

Max length8
Median length4
Mean length4.4615385
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20110714
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row20110714

Common Values

ValueCountFrequency (%)
<NA> 23
88.5%
20110714 3
 
11.5%

Length

2024-05-11T04:46:32.319767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:32.664803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
88.5%
20110714 3
 
11.5%

휴업시작일자
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
22 
20091208
4 

Length

Max length8
Median length4
Mean length4.6153846
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
84.6%
20091208 4
 
15.4%

Length

2024-05-11T04:46:33.062823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:33.418348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
84.6%
20091208 4
 
15.4%

휴업종료일자
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
22 
20101207
4 

Length

Max length8
Median length4
Mean length4.6153846
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 22
84.6%
20101207 4
 
15.4%

Length

2024-05-11T04:46:33.871150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:34.230243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
84.6%
20101207 4
 
15.4%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

전화번호
Text

MISSING 

Distinct6
Distinct (%)50.0%
Missing14
Missing (%)53.8%
Memory size340.0 B
2024-05-11T04:46:34.545957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.8333333
Min length7

Characters and Unicode

Total characters106
Distinct characters10
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

Unique3 ?
Unique (%)25.0%

Sample

1st row9785900
2nd row9785900
3rd row9380866
4th row9380866
5th row9785900
ValueCountFrequency (%)
9785900 4
33.3%
02-936-0230 3
25.0%
9380866 2
16.7%
02-952-9888 1
 
8.3%
029377857 1
 
8.3%
02-936-2100 1
 
8.3%
2024-05-11T04:46:35.581243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24
22.6%
9 17
16.0%
8 12
11.3%
2 11
10.4%
- 10
9.4%
3 10
9.4%
6 8
 
7.5%
7 7
 
6.6%
5 6
 
5.7%
1 1
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
90.6%
Dash Punctuation 10
 
9.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
25.0%
9 17
17.7%
8 12
12.5%
2 11
11.5%
3 10
10.4%
6 8
 
8.3%
7 7
 
7.3%
5 6
 
6.2%
1 1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24
22.6%
9 17
16.0%
8 12
11.3%
2 11
10.4%
- 10
9.4%
3 10
9.4%
6 8
 
7.5%
7 7
 
6.6%
5 6
 
5.7%
1 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24
22.6%
9 17
16.0%
8 12
11.3%
2 11
10.4%
- 10
9.4%
3 10
9.4%
6 8
 
7.5%
7 7
 
6.6%
5 6
 
5.7%
1 1
 
0.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)50.0%
Missing12
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean139221
Minimum139200
Maximum139243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T04:46:36.015564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum139200
5-th percentile139200.65
Q1139204
median139220
Q3139240
95-th percentile139241.05
Maximum139243
Range43
Interquartile range (IQR)36

Descriptive statistics

Standard deviation16.984156
Coefficient of variation (CV)0.00012199421
Kurtosis-1.727406
Mean139221
Median Absolute Deviation (MAD)19
Skewness0.054843272
Sum1949094
Variance288.46154
MonotonicityNot monotonic
2024-05-11T04:46:36.389735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
139240 4
 
15.4%
139220 3
 
11.5%
139204 2
 
7.7%
139201 2
 
7.7%
139221 1
 
3.8%
139243 1
 
3.8%
139200 1
 
3.8%
(Missing) 12
46.2%
ValueCountFrequency (%)
139200 1
 
3.8%
139201 2
7.7%
139204 2
7.7%
139220 3
11.5%
139221 1
 
3.8%
139240 4
15.4%
139243 1
 
3.8%
ValueCountFrequency (%)
139243 1
 
3.8%
139240 4
15.4%
139221 1
 
3.8%
139220 3
11.5%
139204 2
7.7%
139201 2
7.7%
139200 1
 
3.8%

지번주소
Text

Distinct14
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-05-11T04:46:37.040728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length23.461538
Min length19

Characters and Unicode

Total characters610
Distinct characters42
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)26.9%

Sample

1st row서울특별시 노원구 상계동 77-1
2nd row서울특별시 노원구 중계동 157-33 롯데리아
3rd row서울특별시 노원구 중계동 360-7
4th row서울특별시 노원구 중계동 360-7
5th row서울특별시 노원구 상계동 77-1
ValueCountFrequency (%)
서울특별시 26
21.3%
노원구 26
21.3%
중계동 11
9.0%
상계동 10
 
8.2%
157-33 7
 
5.7%
공릉동 5
 
4.1%
742 4
 
3.3%
효성상가 4
 
3.3%
202호 4
 
3.3%
1090-20 3
 
2.5%
Other values (14) 22
18.0%
2024-05-11T04:46:38.665991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
18.9%
1 27
 
4.4%
서 26
 
4.3%
원 26
 
4.3%
동 26
 
4.3%
구 26
 
4.3%
울 26
 
4.3%
노 26
 
4.3%
시 26
 
4.3%
별 26
 
4.3%
Other values (32) 260
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
55.9%
Decimal Number 136
 
22.3%
Space Separator 115
 
18.9%
Dash Punctuation 18
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 26
 
7.6%
원 26
 
7.6%
동 26
 
7.6%
구 26
 
7.6%
울 26
 
7.6%
노 26
 
7.6%
시 26
 
7.6%
별 26
 
7.6%
특 26
 
7.6%
계 21
 
6.2%
Other values (20) 86
25.2%
Decimal Number
ValueCountFrequency (%)
1 27
19.9%
0 22
16.2%
3 20
14.7%
2 19
14.0%
7 17
12.5%
5 9
 
6.6%
4 8
 
5.9%
6 7
 
5.1%
8 4
 
2.9%
9 3
 
2.2%
Space Separator
ValueCountFrequency (%)
115
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 341
55.9%
Common 269
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 26
 
7.6%
원 26
 
7.6%
동 26
 
7.6%
구 26
 
7.6%
울 26
 
7.6%
노 26
 
7.6%
시 26
 
7.6%
별 26
 
7.6%
특 26
 
7.6%
계 21
 
6.2%
Other values (20) 86
25.2%
Common
ValueCountFrequency (%)
115
42.8%
1 27
 
10.0%
0 22
 
8.2%
3 20
 
7.4%
2 19
 
7.1%
- 18
 
6.7%
7 17
 
6.3%
5 9
 
3.3%
4 8
 
3.0%
6 7
 
2.6%
Other values (2) 7
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 341
55.9%
ASCII 269
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
42.8%
1 27
 
10.0%
0 22
 
8.2%
3 20
 
7.4%
2 19
 
7.1%
- 18
 
6.7%
7 17
 
6.3%
5 9
 
3.3%
4 8
 
3.0%
6 7
 
2.6%
Other values (2) 7
 
2.6%
Hangul
ValueCountFrequency (%)
서 26
 
7.6%
원 26
 
7.6%
동 26
 
7.6%
구 26
 
7.6%
울 26
 
7.6%
노 26
 
7.6%
시 26
 
7.6%
별 26
 
7.6%
특 26
 
7.6%
계 21
 
6.2%
Other values (20) 86
25.2%

도로명주소
Text

MISSING 

Distinct12
Distinct (%)50.0%
Missing2
Missing (%)7.7%
Memory size340.0 B
2024-05-11T04:46:39.548942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length29.166667
Min length23

Characters and Unicode

Total characters700
Distinct characters59
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

Unique6 ?
Unique (%)25.0%

Sample

1st row서울특별시 노원구 한글비석로 369, 롯데리아 4층 (중계동)
2nd row서울특별시 노원구 한글비석로 253 (중계동)
3rd row서울특별시 노원구 한글비석로 253 (중계동)
4th row서울특별시 노원구 한글비석로 369 (중계동)
5th row서울특별시 노원구 화랑로 556, 202호 (공릉동,효성상가)
ValueCountFrequency (%)
서울특별시 24
18.3%
노원구 24
18.3%
중계동 11
 
8.4%
한글비석로 9
 
6.9%
상계동 8
 
6.1%
369 7
 
5.3%
화랑로 4
 
3.1%
556 4
 
3.1%
202호 4
 
3.1%
공릉동,효성상가 4
 
3.1%
Other values (18) 32
24.4%
2024-05-11T04:46:40.924813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
16.4%
동 31
 
4.4%
서 24
 
3.4%
( 24
 
3.4%
특 24
 
3.4%
별 24
 
3.4%
시 24
 
3.4%
노 24
 
3.4%
원 24
 
3.4%
구 24
 
3.4%
Other values (49) 362
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 412
58.9%
Space Separator 115
 
16.4%
Decimal Number 107
 
15.3%
Open Punctuation 24
 
3.4%
Close Punctuation 24
 
3.4%
Other Punctuation 14
 
2.0%
Dash Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
7.5%
서 24
 
5.8%
특 24
 
5.8%
별 24
 
5.8%
시 24
 
5.8%
노 24
 
5.8%
원 24
 
5.8%
구 24
 
5.8%
울 24
 
5.8%
로 24
 
5.8%
Other values (34) 165
40.0%
Decimal Number
ValueCountFrequency (%)
2 18
16.8%
6 18
16.8%
5 17
15.9%
3 16
15.0%
1 12
11.2%
7 8
7.5%
9 7
 
6.5%
0 4
 
3.7%
4 4
 
3.7%
8 3
 
2.8%
Space Separator
ValueCountFrequency (%)
115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 412
58.9%
Common 288
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
7.5%
서 24
 
5.8%
특 24
 
5.8%
별 24
 
5.8%
시 24
 
5.8%
노 24
 
5.8%
원 24
 
5.8%
구 24
 
5.8%
울 24
 
5.8%
로 24
 
5.8%
Other values (34) 165
40.0%
Common
ValueCountFrequency (%)
115
39.9%
( 24
 
8.3%
) 24
 
8.3%
2 18
 
6.2%
6 18
 
6.2%
5 17
 
5.9%
3 16
 
5.6%
, 14
 
4.9%
1 12
 
4.2%
7 8
 
2.8%
Other values (5) 22
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 412
58.9%
ASCII 288
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
39.9%
( 24
 
8.3%
) 24
 
8.3%
2 18
 
6.2%
6 18
 
6.2%
5 17
 
5.9%
3 16
 
5.6%
, 14
 
4.9%
1 12
 
4.2%
7 8
 
2.8%
Other values (5) 22
 
7.6%
Hangul
ValueCountFrequency (%)
동 31
 
7.5%
서 24
 
5.8%
특 24
 
5.8%
별 24
 
5.8%
시 24
 
5.8%
노 24
 
5.8%
원 24
 
5.8%
구 24
 
5.8%
울 24
 
5.8%
로 24
 
5.8%
Other values (34) 165
40.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)43.8%
Missing10
Missing (%)38.5%
Infinite0
Infinite (%)0.0%
Mean79297.5
Minimum1606
Maximum139856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T04:46:41.361517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1606
5-th percentile1609
Q11632.5
median139210
Q3139856
95-th percentile139856
Maximum139856
Range138250
Interquartile range (IQR)138223.5

Descriptive statistics

Standard deviation70734.64
Coefficient of variation (CV)0.89201602
Kurtosis-2.2187034
Mean79297.5
Median Absolute Deviation (MAD)646
Skewness-0.27880152
Sum1268760
Variance5.0033893 × 109
MonotonicityNot monotonic
2024-05-11T04:46:41.666715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
139856 5
19.2%
1610 3
 
11.5%
1699 2
 
7.7%
139793 2
 
7.7%
139210 2
 
7.7%
1606 1
 
3.8%
1640 1
 
3.8%
(Missing) 10
38.5%
ValueCountFrequency (%)
1606 1
 
3.8%
1610 3
11.5%
1640 1
 
3.8%
1699 2
 
7.7%
139210 2
 
7.7%
139793 2
 
7.7%
139856 5
19.2%
ValueCountFrequency (%)
139856 5
19.2%
139793 2
 
7.7%
139210 2
 
7.7%
1699 2
 
7.7%
1640 1
 
3.8%
1610 3
11.5%
1606 1
 
3.8%

사업장명
Categorical

Distinct12
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
(주)한배엔지니어링
7 
청정산업
4 
미래수질환경(주)
3 
뿌리엔지지너링 주식회사
2 
(주)현우환경
2 
Other values (7)
8 

Length

Max length12
Median length10.5
Mean length8.7307692
Min length4

Unique

Unique6 ?
Unique (%)23.1%

Sample

1st row뿌리엔지지너링 주식회사
2nd row한배엔지니어링주식회사
3rd row(주)현우E & C
4th row(주)현우 E & C
5th row뿌리엔지니어링주식회사

Common Values

ValueCountFrequency (%)
(주)한배엔지니어링 7
26.9%
청정산업 4
15.4%
미래수질환경(주) 3
11.5%
뿌리엔지지너링 주식회사 2
 
7.7%
(주)현우환경 2
 
7.7%
주식회사 수앤테크 2
 
7.7%
한배엔지니어링주식회사 1
 
3.8%
(주)현우E & C 1
 
3.8%
(주)현우 E & C 1
 
3.8%
뿌리엔지니어링주식회사 1
 
3.8%
Other values (2) 2
 
7.7%

Length

2024-05-11T04:46:42.181291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주)한배엔지니어링 7
20.0%
청정산업 4
11.4%
주식회사 4
11.4%
미래수질환경(주 3
8.6%
뿌리엔지지너링 2
 
5.7%
주)현우환경 2
 
5.7%
수앤테크 2
 
5.7%
2
 
5.7%
c 2
 
5.7%
한배엔지니어링주식회사 1
 
2.9%
Other values (6) 6
17.1%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2011-07-15 13:07:43
Maximum2023-11-24 11:25:29
2024-05-11T04:46:42.694484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:46:43.254843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
I
20 
U
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 20
76.9%
U 6
 
23.1%

Length

2024-05-11T04:46:43.860790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:44.151372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 20
76.9%
u 6
 
23.1%

데이터갱신일자
Date

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-05 22:03:00
2024-05-11T04:46:44.496572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:46:44.878269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

업태구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing23
Missing (%)88.5%
Memory size340.0 B
2024-05-11T04:46:45.283665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length6
Mean length10
Min length6

Characters and Unicode

Total characters30
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row하수, 분뇨 및 축산폐기물 처리업
2nd row종합 건설업
3rd row종합 건설업
ValueCountFrequency (%)
종합 2
22.2%
건설업 2
22.2%
하수 1
11.1%
분뇨 1
11.1%
및 1
11.1%
축산폐기물 1
11.1%
처리업 1
11.1%
2024-05-11T04:46:46.332727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
20.0%
업 3
 
10.0%
종 2
 
6.7%
건 2
 
6.7%
설 2
 
6.7%
합 2
 
6.7%
축 1
 
3.3%
처 1
 
3.3%
물 1
 
3.3%
기 1
 
3.3%
Other values (9) 9
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
76.7%
Space Separator 6
 
20.0%
Other Punctuation 1
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 3
13.0%
종 2
 
8.7%
건 2
 
8.7%
설 2
 
8.7%
합 2
 
8.7%
축 1
 
4.3%
처 1
 
4.3%
물 1
 
4.3%
기 1
 
4.3%
폐 1
 
4.3%
Other values (7) 7
30.4%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
76.7%
Common 7
 
23.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 3
13.0%
종 2
 
8.7%
건 2
 
8.7%
설 2
 
8.7%
합 2
 
8.7%
축 1
 
4.3%
처 1
 
4.3%
물 1
 
4.3%
기 1
 
4.3%
폐 1
 
4.3%
Other values (7) 7
30.4%
Common
ValueCountFrequency (%)
6
85.7%
, 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
76.7%
ASCII 7
 
23.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6
85.7%
, 1
 
14.3%
Hangul
ValueCountFrequency (%)
업 3
13.0%
종 2
 
8.7%
건 2
 
8.7%
설 2
 
8.7%
합 2
 
8.7%
축 1
 
4.3%
처 1
 
4.3%
물 1
 
4.3%
기 1
 
4.3%
폐 1
 
4.3%
Other values (7) 7
30.4%

좌표정보(X)
Real number (ℝ)

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206294.86
Minimum204470.59
Maximum207749.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T04:46:46.780887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204470.59
5-th percentile204470.59
Q1206218.66
median206460.34
Q3206736.41
95-th percentile207749.31
Maximum207749.31
Range3278.721
Interquartile range (IQR)517.74726

Descriptive statistics

Standard deviation1076.1928
Coefficient of variation (CV)0.0052167695
Kurtosis-0.56106336
Mean206294.86
Median Absolute Deviation (MAD)289.32104
Skewness-0.63220905
Sum5363666.4
Variance1158190.9
MonotonicityNot monotonic
2024-05-11T04:46:47.141600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
206460.340838133 7
26.9%
207749.307579592 4
15.4%
204470.586550382 3
11.5%
207104.751151746 2
 
7.7%
206668.319076099 2
 
7.7%
206651.699789929 2
 
7.7%
204619.143523595 2
 
7.7%
206333.256269903 1
 
3.8%
204674.398854671 1
 
3.8%
206759.107723105 1
 
3.8%
ValueCountFrequency (%)
204470.586550382 3
11.5%
204619.143523595 2
 
7.7%
204674.398854671 1
 
3.8%
206180.465648772 1
 
3.8%
206333.256269903 1
 
3.8%
206460.340838133 7
26.9%
206651.699789929 2
 
7.7%
206668.319076099 2
 
7.7%
206759.107723105 1
 
3.8%
207104.751151746 2
 
7.7%
ValueCountFrequency (%)
207749.307579592 4
15.4%
207104.751151746 2
 
7.7%
206759.107723105 1
 
3.8%
206668.319076099 2
 
7.7%
206651.699789929 2
 
7.7%
206460.340838133 7
26.9%
206333.256269903 1
 
3.8%
206180.465648772 1
 
3.8%
204674.398854671 1
 
3.8%
204619.143523595 2
 
7.7%

좌표정보(Y)
Real number (ℝ)

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461511.86
Minimum457565.76
Maximum463940.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-05-11T04:46:47.542178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457565.76
5-th percentile457640.84
Q1461068.44
median461782.72
Q3463000.65
95-th percentile463887.94
Maximum463940.98
Range6375.2216
Interquartile range (IQR)1932.2134

Descriptive statistics

Standard deviation2131.2112
Coefficient of variation (CV)0.0046178904
Kurtosis-0.18236802
Mean461511.86
Median Absolute Deviation (MAD)1074.701
Skewness-0.97501555
Sum11999308
Variance4542061.1
MonotonicityNot monotonic
2024-05-11T04:46:48.288838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
461782.719034388 7
26.9%
457640.840194694 4
15.4%
463533.259200639 3
11.5%
463000.651595126 2
 
7.7%
460896.983072795 2
 
7.7%
461582.803734992 2
 
7.7%
463887.942604325 2
 
7.7%
457565.75508023 1
 
3.8%
463940.976727043 1
 
3.8%
462708.495728674 1
 
3.8%
ValueCountFrequency (%)
457565.75508023 1
 
3.8%
457640.840194694 4
15.4%
460896.983072795 2
 
7.7%
461582.803734992 2
 
7.7%
461782.719034388 7
26.9%
462708.495728674 1
 
3.8%
462714.188504333 1
 
3.8%
463000.651595126 2
 
7.7%
463533.259200639 3
11.5%
463887.942604325 2
 
7.7%
ValueCountFrequency (%)
463940.976727043 1
 
3.8%
463887.942604325 2
 
7.7%
463533.259200639 3
11.5%
463000.651595126 2
 
7.7%
462714.188504333 1
 
3.8%
462708.495728674 1
 
3.8%
461782.719034388 7
26.9%
461582.803734992 2
 
7.7%
460896.983072795 2
 
7.7%
457640.840194694 4
15.4%

환경업무구분명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
분뇨등설계시공업관리
23 
<NA>
3 

Length

Max length10
Median length10
Mean length9.3076923
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨등설계시공업관리 23
88.5%
<NA> 3
 
11.5%

Length

2024-05-11T04:46:48.710173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:49.060270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등설계시공업관리 23
88.5%
na 3
 
11.5%

업종구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing24
Missing (%)92.3%
Memory size340.0 B
2024-05-11T04:46:49.508775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12
Min length6

Characters and Unicode

Total characters24
Distinct characters19
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row하수, 분뇨 및 축산폐기물 처리업
2nd row종합 건설업
ValueCountFrequency (%)
하수 1
14.3%
분뇨 1
14.3%
및 1
14.3%
축산폐기물 1
14.3%
처리업 1
14.3%
종합 1
14.3%
건설업 1
14.3%
2024-05-11T04:46:50.409429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
20.8%
업 2
 
8.3%
하 1
 
4.2%
기 1
 
4.2%
건 1
 
4.2%
합 1
 
4.2%
종 1
 
4.2%
리 1
 
4.2%
처 1
 
4.2%
물 1
 
4.2%
Other values (9) 9
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
75.0%
Space Separator 5
 
20.8%
Other Punctuation 1
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 2
 
11.1%
하 1
 
5.6%
기 1
 
5.6%
건 1
 
5.6%
합 1
 
5.6%
종 1
 
5.6%
리 1
 
5.6%
처 1
 
5.6%
물 1
 
5.6%
폐 1
 
5.6%
Other values (7) 7
38.9%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
75.0%
Common 6
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 2
 
11.1%
하 1
 
5.6%
기 1
 
5.6%
건 1
 
5.6%
합 1
 
5.6%
종 1
 
5.6%
리 1
 
5.6%
처 1
 
5.6%
물 1
 
5.6%
폐 1
 
5.6%
Other values (7) 7
38.9%
Common
ValueCountFrequency (%)
5
83.3%
, 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
75.0%
ASCII 6
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5
83.3%
, 1
 
16.7%
Hangul
ValueCountFrequency (%)
업 2
 
11.1%
하 1
 
5.6%
기 1
 
5.6%
건 1
 
5.6%
합 1
 
5.6%
종 1
 
5.6%
리 1
 
5.6%
처 1
 
5.6%
물 1
 
5.6%
폐 1
 
5.6%
Other values (7) 7
38.9%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

배출시설연간가동일수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
25 
0
 
1

Length

Max length4
Median length4
Mean length3.8846154
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
96.2%
0 1
 
3.8%

Length

2024-05-11T04:46:50.807175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:51.168528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
96.2%
0 1
 
3.8%

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)100.0%
Memory size366.0 B

방지시설연간가동일수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
25 
0
 
1

Length

Max length4
Median length4
Mean length3.8846154
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
96.2%
0 1
 
3.8%

Length

2024-05-11T04:46:51.594502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:46:52.060269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
96.2%
0 1
 
3.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0310000031000005400000000120030527<NA>3폐업2폐업20110714<NA><NA><NA><NA><NA>139204서울특별시 노원구 상계동 77-1<NA><NA>뿌리엔지지너링 주식회사2011-07-15 13:07:43I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업207104.751152463000.651595분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>
1310000031000005419990000419990806<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 157-33 롯데리아서울특별시 노원구 한글비석로 369, 롯데리아 4층 (중계동)1699한배엔지니어링주식회사2020-10-28 13:48:53U2020-10-30 02:40:00.0<NA>206460.340838461782.719034분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
2310000031000005420010000120010608<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>139220서울특별시 노원구 중계동 360-7서울특별시 노원구 한글비석로 253 (중계동)<NA>(주)현우E & C2011-08-12 16:48:47I2018-08-31 23:59:59.0<NA>206668.319076460896.983073분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
3310000031000005420010000220011121<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>139221서울특별시 노원구 중계동 360-7서울특별시 노원구 한글비석로 253 (중계동)<NA>(주)현우 E & C2011-08-12 16:49:20I2018-08-31 23:59:59.0<NA>206668.319076460896.983073분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
4310000031000005420030000120030527<NA>3폐업2폐업20110714<NA><NA><NA><NA><NA>139204서울특별시 노원구 상계동 77-1<NA><NA>뿌리엔지니어링주식회사2011-08-05 14:03:51I2018-08-31 23:59:59.0<NA>207104.751152463000.651595분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
5310000031000005420070000120070807<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 157-33서울특별시 노원구 한글비석로 369 (중계동)139856(주)한배엔지니어링2013-12-27 17:37:47I2018-08-31 23:59:59.0<NA>206460.340838461782.719034분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
6310000031000005420070000220071206<NA>2휴업1휴업<NA>2009120820101207<NA>9785900<NA>139240서울특별시 노원구 공릉동 742 효성상가 202호서울특별시 노원구 화랑로 556, 202호 (공릉동,효성상가)<NA>청정산업2011-08-05 14:09:38I2018-08-31 23:59:59.0<NA>207749.30758457640.840195분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
7310000031000005420070000320071228<NA>2휴업1휴업<NA>2009120820101207<NA>9785900<NA>139240서울특별시 노원구 공릉동 742 효성상가 202호서울특별시 노원구 화랑로 556, 202호 (공릉동,효성상가)<NA>청정산업2011-08-05 14:09:25I2018-08-31 23:59:59.0<NA>207749.30758457640.840195분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
8310000031000005420080000120080212<NA>1영업/정상11영업<NA><NA><NA><NA>9380866<NA>139220서울특별시 노원구 중계동 358 주공상가 204호서울특별시 노원구 덕릉로 662 (중계동)139793(주)현우환경2013-12-27 17:38:34I2018-08-31 23:59:59.0<NA>206651.69979461582.803735분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
9310000031000005420080000220080304<NA>1영업/정상11영업<NA><NA><NA><NA>9380866<NA>139220서울특별시 노원구 중계동 358 주공상가 204호서울특별시 노원구 덕릉로 662 (중계동)139793(주)현우환경2013-12-27 17:39:06I2018-08-31 23:59:59.0<NA>206651.69979461582.803735분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
16310000031000005420150000120151217<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 157-33서울특별시 노원구 한글비석로 369 (중계동)139856(주)한배엔지니어링2020-05-26 16:14:51U2020-05-28 02:40:00.0<NA>206460.340838461782.719034분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
17310000031000005420160000120161107<NA>1영업/정상11영업<NA><NA><NA><NA>02-936-0230<NA><NA>서울특별시 노원구 상계동 1090-20서울특별시 노원구 동일로237길 68-17 (상계동, 기쁨의교회)1610주식회사 수앤테크2019-06-28 15:56:39U2019-06-30 02:40:00.0종합 건설업204470.58655463533.259201분뇨등설계시공업관리종합 건설업<NA><NA><NA><NA><NA><NA>
18310000031000005420170000120170615<NA>1영업/정상11영업<NA><NA><NA><NA>02-952-9888<NA><NA>서울특별시 노원구 상계동 1110-6서울특별시 노원구 동일로241길 53 (상계동, 두산아파트)1606미래수질환경(주)2021-12-10 15:38:03U2021-12-14 02:40:00.0<NA>204674.398855463940.976727분뇨등설계시공업관리<NA><NA><NA><NA>0<NA>0
19310000031000005420180000120180521<NA>1영업/정상11영업<NA><NA><NA><NA>029377857<NA><NA>서울특별시 노원구 상계동 101-83 1층서울특별시 노원구 덕릉로115길 11 (상계동)1640(주)현우이엔씨2020-10-28 13:14:46U2020-10-30 02:40:00.0<NA>206759.107723462708.495729분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
20310000031000005420200000120201123<NA>1영업/정상11영업<NA><NA><NA><NA>02-936-0230<NA><NA>서울특별시 노원구 상계동 1090-20서울특별시 노원구 동일로237길 68-17 (상계동, 기쁨의교회)1610(주)수앤테크2020-11-23 11:12:51I2020-11-25 00:23:07.0<NA>204470.58655463533.259201분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
21310000031000005420200000220201127<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>139201서울특별시 노원구 상계동 1110 두산아파트종합상가 216호서울특별시 노원구 동일로241길 53 (상계동)139210미래수질환경(주)2020-11-27 12:59:48I2020-11-29 00:23:08.0<NA>204619.143524463887.942604분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
22310000031000005420210000120210316<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 157-33서울특별시 노원구 한글비석로 369 (중계동)139856(주)한배엔지니어링2021-05-31 14:54:48U2021-06-02 02:40:00.0<NA>206460.340838461782.719034분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
23310000031000005420220000120220928<NA>1영업/정상11영업<NA><NA><NA><NA><NA><NA>139200서울특별시 노원구 상계동 136-4서울특별시 노원구 수락산로 55 (상계동)<NA>(주)한배엔지니어링2022-09-28 15:02:47I2021-12-08 21:00:00.0<NA>206180.465649462714.188504<NA><NA><NA><NA><NA><NA><NA><NA>
2431000003100000542023000012023-06-21<NA>1영업/정상11영업<NA><NA><NA><NA>02-936-0230<NA><NA>서울특별시 노원구 상계동 1090-20서울특별시 노원구 동일로237길 68-17 (상계동, 기쁨의교회)1610주식회사 수앤테크2023-06-21 15:37:32I2022-12-05 22:03:00.0종합 건설업204470.58655463533.259201<NA><NA><NA><NA><NA><NA><NA><NA>
2531000003100000542023000022023-11-24<NA>1영업/정상11영업<NA><NA><NA><NA>02-936-2100<NA><NA>서울특별시 노원구 중계동 157-33서울특별시 노원구 한글비석로 369 (중계동, 롯데리아)1699(주)한배엔지니어링2023-11-24 11:25:29I2022-10-31 22:06:00.0<NA>206460.340838461782.719034<NA><NA><NA><NA><NA><NA><NA><NA>