Overview

Dataset statistics

Number of variables33
Number of observations34
Missing cells543
Missing cells (%)48.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.6 KiB
Average record size in memory287.9 B

Variable types

Categorical8
Numeric5
DateTime3
Unsupported11
Text6

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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-19350/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (56.9%)Imbalance
영업상태명 is highly imbalanced (56.9%)Imbalance
상세영업상태코드 is highly imbalanced (56.9%)Imbalance
상세영업상태명 is highly imbalanced (56.9%)Imbalance
도로명우편번호 is highly imbalanced (71.5%)Imbalance
데이터갱신구분 is highly imbalanced (56.9%)Imbalance
환경업무구분명 is highly imbalanced (56.9%)Imbalance
인허가취소일자 has 34 (100.0%) missing valuesMissing
폐업일자 has 3 (8.8%) missing valuesMissing
휴업시작일자 has 34 (100.0%) missing valuesMissing
휴업종료일자 has 34 (100.0%) missing valuesMissing
재개업일자 has 34 (100.0%) missing valuesMissing
전화번호 has 30 (88.2%) missing valuesMissing
소재지면적 has 34 (100.0%) missing valuesMissing
소재지우편번호 has 3 (8.8%) missing valuesMissing
도로명주소 has 23 (67.6%) missing valuesMissing
업태구분명 has 32 (94.1%) missing valuesMissing
좌표정보(X) has 23 (67.6%) missing valuesMissing
좌표정보(Y) has 23 (67.6%) missing valuesMissing
업종구분명 has 32 (94.1%) missing valuesMissing
종별명 has 34 (100.0%) missing valuesMissing
주생산품명 has 34 (100.0%) missing valuesMissing
배출시설조업시간 has 34 (100.0%) missing valuesMissing
배출시설연간가동일수 has 34 (100.0%) missing valuesMissing
방지시설조업시간 has 34 (100.0%) missing valuesMissing
방지시설연간가동일수 has 34 (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 started2024-05-11 06:21:02.613857
Analysis finished2024-05-11 06:21:03.643896
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
3230000
34 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 34
100.0%

Length

2024-05-11T06:21:03.894268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:21:04.183241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 34
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2300005 × 1017
Minimum3.2300005 × 1017
Maximum3.2300005 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T06:21:04.551581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2300005 × 1017
5-th percentile3.2300005 × 1017
Q13.2300005 × 1017
median3.2300005 × 1017
Q33.2300005 × 1017
95-th percentile3.2300005 × 1017
Maximum3.2300005 × 1017
Range1000000
Interquartile range (IQR)300032

Descriptive statistics

Standard deviation220278.92
Coefficient of variation (CV)6.8197798 × 10-13
Kurtosis3.1193191
Mean3.2300005 × 1017
Median Absolute Deviation (MAD)149952
Skewness1.4170145
Sum-7.4647422 × 1018
Variance4.8522805 × 1010
MonotonicityStrictly increasing
2024-05-11T06:21:05.084626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
323000054199700001 1
 
2.9%
323000054200100040 1
 
2.9%
323000054199900030 1
 
2.9%
323000054200000038 1
 
2.9%
323000054200100012 1
 
2.9%
323000054200100013 1
 
2.9%
323000054200100037 1
 
2.9%
323000054200100039 1
 
2.9%
323000054200100041 1
 
2.9%
323000054199900027 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
323000054199700001 1
2.9%
323000054199700003 1
2.9%
323000054199700004 1
2.9%
323000054199700005 1
2.9%
323000054199700007 1
2.9%
323000054199700008 1
2.9%
323000054199700013 1
2.9%
323000054199700014 1
2.9%
323000054199800009 1
2.9%
323000054199800016 1
2.9%
ValueCountFrequency (%)
323000054200700001 1
2.9%
323000054200300001 1
2.9%
323000054200100045 1
2.9%
323000054200100044 1
2.9%
323000054200100043 1
2.9%
323000054200100042 1
2.9%
323000054200100041 1
2.9%
323000054200100040 1
2.9%
323000054200100039 1
2.9%
323000054200100037 1
2.9%

인허가일자
Date

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum1975-05-19 00:00:00
Maximum2007-09-20 00:00:00
2024-05-11T06:21:05.585570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:21:06.221404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
3
31 
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 31
91.2%
1 3
 
8.8%

Length

2024-05-11T06:21:06.786695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:21:07.127488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 31
91.2%
1 3
 
8.8%

영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
폐업
31 
영업/정상
 
3

Length

Max length5
Median length2
Mean length2.2647059
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
91.2%
영업/정상 3
 
8.8%

Length

2024-05-11T06:21:07.668497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:21:08.272427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
91.2%
영업/정상 3
 
8.8%

상세영업상태코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2
31 
11
 
3

Length

Max length2
Median length1
Mean length1.0882353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2 31
91.2%
11 3
 
8.8%

Length

2024-05-11T06:21:08.832714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:21:09.291005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 31
91.2%
11 3
 
8.8%

상세영업상태명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
폐업
31 
영업
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 31
91.2%
영업 3
 
8.8%

Length

2024-05-11T06:21:09.691503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:21:10.025003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 31
91.2%
영업 3
 
8.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)83.9%
Missing3
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean20040558
Minimum19980901
Maximum20170920
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T06:21:10.416991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19980901
5-th percentile20011179
Q120030560
median20031105
Q320050270
95-th percentile20080424
Maximum20170920
Range190019
Interquartile range (IQR)19710

Descriptive statistics

Standard deviation32182.653
Coefficient of variation (CV)0.0016058761
Kurtosis8.5563865
Mean20040558
Median Absolute Deviation (MAD)9414
Skewness2.2679314
Sum6.2125728 × 108
Variance1.0357232 × 109
MonotonicityNot monotonic
2024-05-11T06:21:11.128649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20030924 3
 
8.8%
20031210 2
 
5.9%
20031020 2
 
5.9%
20031120 2
 
5.9%
20031107 1
 
2.9%
20080123 1
 
2.9%
20071230 1
 
2.9%
20030509 1
 
2.9%
20050721 1
 
2.9%
20030514 1
 
2.9%
Other values (16) 16
47.1%
(Missing) 3
 
8.8%
ValueCountFrequency (%)
19980901 1
 
2.9%
20001230 1
 
2.9%
20021128 1
 
2.9%
20021213 1
 
2.9%
20021216 1
 
2.9%
20021230 1
 
2.9%
20030509 1
 
2.9%
20030514 1
 
2.9%
20030605 1
 
2.9%
20030924 3
8.8%
ValueCountFrequency (%)
20170920 1
2.9%
20080529 1
2.9%
20080320 1
2.9%
20080123 1
2.9%
20071230 1
2.9%
20051129 1
2.9%
20050721 1
2.9%
20050311 1
2.9%
20050228 1
2.9%
20040519 1
2.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

전화번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing30
Missing (%)88.2%
Memory size404.0 B
2024-05-11T06:21:11.535838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8.5
Mean length8.5
Min length7

Characters and Unicode

Total characters34
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

Unique4 ?
Unique (%)100.0%

Sample

1st row024210431
2nd row0234345800
3rd row566-6820
4th row4235075
ValueCountFrequency (%)
024210431 1
25.0%
0234345800 1
25.0%
566-6820 1
25.0%
4235075 1
25.0%
2024-05-11T06:21:12.386404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7
20.6%
2 5
14.7%
4 5
14.7%
3 4
11.8%
5 4
11.8%
6 3
8.8%
1 2
 
5.9%
8 2
 
5.9%
- 1
 
2.9%
7 1
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33
97.1%
Dash Punctuation 1
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7
21.2%
2 5
15.2%
4 5
15.2%
3 4
12.1%
5 4
12.1%
6 3
9.1%
1 2
 
6.1%
8 2
 
6.1%
7 1
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7
20.6%
2 5
14.7%
4 5
14.7%
3 4
11.8%
5 4
11.8%
6 3
8.8%
1 2
 
5.9%
8 2
 
5.9%
- 1
 
2.9%
7 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7
20.6%
2 5
14.7%
4 5
14.7%
3 4
11.8%
5 4
11.8%
6 3
8.8%
1 2
 
5.9%
8 2
 
5.9%
- 1
 
2.9%
7 1
 
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)32.3%
Missing3
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean138190.39
Minimum138040
Maximum138842
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T06:21:12.950920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum138040
5-th percentile138040
Q1138160
median138170
Q3138195
95-th percentile138232
Maximum138842
Range802
Interquartile range (IQR)35

Descriptive statistics

Standard deviation130.91719
Coefficient of variation (CV)0.00094736832
Kurtosis21.884614
Mean138190.39
Median Absolute Deviation (MAD)20
Skewness4.2285798
Sum4283902
Variance17139.312
MonotonicityNot monotonic
2024-05-11T06:21:13.510232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
138160 9
26.5%
138224 5
14.7%
138190 4
11.8%
138040 3
 
8.8%
138180 3
 
8.8%
138170 3
 
8.8%
138200 1
 
2.9%
138130 1
 
2.9%
138240 1
 
2.9%
138842 1
 
2.9%
(Missing) 3
 
8.8%
ValueCountFrequency (%)
138040 3
 
8.8%
138130 1
 
2.9%
138160 9
26.5%
138170 3
 
8.8%
138180 3
 
8.8%
138190 4
11.8%
138200 1
 
2.9%
138224 5
14.7%
138240 1
 
2.9%
138842 1
 
2.9%
ValueCountFrequency (%)
138842 1
 
2.9%
138240 1
 
2.9%
138224 5
14.7%
138200 1
 
2.9%
138190 4
11.8%
138180 3
 
8.8%
138170 3
 
8.8%
138160 9
26.5%
138130 1
 
2.9%
138040 3
 
8.8%

지번주소
Text

Distinct27
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-05-11T06:21:14.076929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length22.088235
Min length17

Characters and Unicode

Total characters751
Distinct characters47
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

Unique23 ?
Unique (%)67.6%

Sample

1st row서울특별시 송파구 방이동 149-9
2nd row서울특별시 송파구 문정동 107-7
3rd row서울특별시 송파구 신천동 7-19
4th row서울특별시 송파구 가락동 78
5th row서울특별시 송파구 가락동 174-14
ValueCountFrequency (%)
서울특별시 34
23.4%
송파구 34
23.4%
가락동 9
 
6.2%
신천동 7
 
4.8%
석촌동 6
 
4.1%
7-23 5
 
3.4%
풍납동 3
 
2.1%
송파동 3
 
2.1%
삼전동 3
 
2.1%
399 2
 
1.4%
Other values (35) 39
26.9%
2024-05-11T06:21:15.369229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
26.8%
송 37
 
4.9%
파 37
 
4.9%
서 34
 
4.5%
동 34
 
4.5%
구 34
 
4.5%
울 34
 
4.5%
시 34
 
4.5%
별 34
 
4.5%
특 34
 
4.5%
Other values (37) 238
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 394
52.5%
Space Separator 201
26.8%
Decimal Number 128
 
17.0%
Dash Punctuation 28
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 37
9.4%
파 37
9.4%
서 34
8.6%
동 34
8.6%
구 34
8.6%
울 34
8.6%
시 34
8.6%
별 34
8.6%
특 34
8.6%
가 9
 
2.3%
Other values (25) 73
18.5%
Decimal Number
ValueCountFrequency (%)
1 25
19.5%
2 18
14.1%
3 17
13.3%
9 16
12.5%
5 13
10.2%
7 13
10.2%
4 10
 
7.8%
8 8
 
6.2%
0 5
 
3.9%
6 3
 
2.3%
Space Separator
ValueCountFrequency (%)
201
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 394
52.5%
Common 357
47.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 37
9.4%
파 37
9.4%
서 34
8.6%
동 34
8.6%
구 34
8.6%
울 34
8.6%
시 34
8.6%
별 34
8.6%
특 34
8.6%
가 9
 
2.3%
Other values (25) 73
18.5%
Common
ValueCountFrequency (%)
201
56.3%
- 28
 
7.8%
1 25
 
7.0%
2 18
 
5.0%
3 17
 
4.8%
9 16
 
4.5%
5 13
 
3.6%
7 13
 
3.6%
4 10
 
2.8%
8 8
 
2.2%
Other values (2) 8
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 394
52.5%
ASCII 357
47.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
56.3%
- 28
 
7.8%
1 25
 
7.0%
2 18
 
5.0%
3 17
 
4.8%
9 16
 
4.5%
5 13
 
3.6%
7 13
 
3.6%
4 10
 
2.8%
8 8
 
2.2%
Other values (2) 8
 
2.2%
Hangul
ValueCountFrequency (%)
송 37
9.4%
파 37
9.4%
서 34
8.6%
동 34
8.6%
구 34
8.6%
울 34
8.6%
시 34
8.6%
별 34
8.6%
특 34
8.6%
가 9
 
2.3%
Other values (25) 73
18.5%

도로명주소
Text

MISSING 

Distinct8
Distinct (%)72.7%
Missing23
Missing (%)67.6%
Memory size404.0 B
2024-05-11T06:21:15.839599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length27.818182
Min length23

Characters and Unicode

Total characters306
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

Unique5 ?
Unique (%)45.5%

Sample

1st row서울특별시 송파구 백제고분로 490 (방이동)
2nd row서울특별시 송파구 올림픽로 289 (신천동, 잠실시그마타워)
3rd row서울특별시 송파구 중대로 135 (가락동)
4th row서울특별시 송파구 중대로 135 (가락동)
5th row서울특별시 송파구 올림픽로47길 19 (풍납동)
ValueCountFrequency (%)
서울특별시 11
18.6%
송파구 11
18.6%
가락동 5
 
8.5%
송이로 3
 
5.1%
19 2
 
3.4%
풍납동 2
 
3.4%
111 2
 
3.4%
올림픽로47길 2
 
3.4%
135 2
 
3.4%
중대로 2
 
3.4%
Other values (17) 17
28.8%
2024-05-11T06:21:16.723714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
18.3%
송 14
 
4.6%
1 13
 
4.2%
시 12
 
3.9%
서 11
 
3.6%
울 11
 
3.6%
( 11
 
3.6%
로 11
 
3.6%
구 11
 
3.6%
동 11
 
3.6%
Other values (47) 145
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
59.8%
Space Separator 56
 
18.3%
Decimal Number 41
 
13.4%
Open Punctuation 11
 
3.6%
Close Punctuation 11
 
3.6%
Other Punctuation 4
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 14
 
7.7%
시 12
 
6.6%
서 11
 
6.0%
울 11
 
6.0%
로 11
 
6.0%
구 11
 
6.0%
동 11
 
6.0%
파 11
 
6.0%
별 11
 
6.0%
특 11
 
6.0%
Other values (33) 69
37.7%
Decimal Number
ValueCountFrequency (%)
1 13
31.7%
9 5
 
12.2%
4 5
 
12.2%
2 4
 
9.8%
0 3
 
7.3%
3 3
 
7.3%
8 3
 
7.3%
5 2
 
4.9%
7 2
 
4.9%
6 1
 
2.4%
Space Separator
ValueCountFrequency (%)
56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
59.8%
Common 123
40.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 14
 
7.7%
시 12
 
6.6%
서 11
 
6.0%
울 11
 
6.0%
로 11
 
6.0%
구 11
 
6.0%
동 11
 
6.0%
파 11
 
6.0%
별 11
 
6.0%
특 11
 
6.0%
Other values (33) 69
37.7%
Common
ValueCountFrequency (%)
56
45.5%
1 13
 
10.6%
( 11
 
8.9%
) 11
 
8.9%
9 5
 
4.1%
4 5
 
4.1%
, 4
 
3.3%
2 4
 
3.3%
0 3
 
2.4%
3 3
 
2.4%
Other values (4) 8
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
59.8%
ASCII 123
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
45.5%
1 13
 
10.6%
( 11
 
8.9%
) 11
 
8.9%
9 5
 
4.1%
4 5
 
4.1%
, 4
 
3.3%
2 4
 
3.3%
0 3
 
2.4%
3 3
 
2.4%
Other values (4) 8
 
6.5%
Hangul
ValueCountFrequency (%)
송 14
 
7.7%
시 12
 
6.6%
서 11
 
6.0%
울 11
 
6.0%
로 11
 
6.0%
구 11
 
6.0%
동 11
 
6.0%
파 11
 
6.0%
별 11
 
6.0%
특 11
 
6.0%
Other values (33) 69
37.7%

도로명우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
31 
138832
 
1
5510
 
1
5614
 
1

Length

Max length6
Median length4
Mean length4.0588235
Min length4

Unique

Unique3 ?
Unique (%)8.8%

Sample

1st row138832
2nd row<NA>
3rd row5510
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
91.2%
138832 1
 
2.9%
5510 1
 
2.9%
5614 1
 
2.9%

Length

2024-05-11T06:21:17.177865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:21:17.538366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
91.2%
138832 1
 
2.9%
5510 1
 
2.9%
5614 1
 
2.9%

사업장명
Text

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-05-11T06:21:18.136019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.6176471
Min length7

Characters and Unicode

Total characters293
Distinct characters82
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)73.5%

Sample

1st row거보산업(주)
2nd row(주)동일기술공사
3rd row에이치엘디앤아이한라 주식회사
4th row(주)그린기술산업
5th row(주)동성종합건설
ValueCountFrequency (%)
주)청석엔지니어링 3
 
8.6%
쌍용건설(주 2
 
5.7%
주)그린기술산업 2
 
5.7%
남광토건(주 2
 
5.7%
주)한가람환경기술 1
 
2.9%
거보산업(주 1
 
2.9%
푸른산업개발(주 1
 
2.9%
코아엔지니어링 1
 
2.9%
뉴텍특수개발-주 1
 
2.9%
주)바이오준테크 1
 
2.9%
Other values (20) 20
57.1%
2024-05-11T06:21:19.050906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 33
 
11.3%
( 31
 
10.6%
) 31
 
10.6%
건 10
 
3.4%
경 8
 
2.7%
지 8
 
2.7%
산 7
 
2.4%
설 7
 
2.4%
환 7
 
2.4%
엔 7
 
2.4%
Other values (72) 144
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 229
78.2%
Open Punctuation 31
 
10.6%
Close Punctuation 31
 
10.6%
Dash Punctuation 1
 
0.3%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 33
 
14.4%
건 10
 
4.4%
경 8
 
3.5%
지 8
 
3.5%
산 7
 
3.1%
설 7
 
3.1%
환 7
 
3.1%
엔 7
 
3.1%
링 6
 
2.6%
니 6
 
2.6%
Other values (68) 130
56.8%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 229
78.2%
Common 64
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 33
 
14.4%
건 10
 
4.4%
경 8
 
3.5%
지 8
 
3.5%
산 7
 
3.1%
설 7
 
3.1%
환 7
 
3.1%
엔 7
 
3.1%
링 6
 
2.6%
니 6
 
2.6%
Other values (68) 130
56.8%
Common
ValueCountFrequency (%)
( 31
48.4%
) 31
48.4%
- 1
 
1.6%
1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 229
78.2%
ASCII 64
 
21.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 33
 
14.4%
건 10
 
4.4%
경 8
 
3.5%
지 8
 
3.5%
산 7
 
3.1%
설 7
 
3.1%
환 7
 
3.1%
엔 7
 
3.1%
링 6
 
2.6%
니 6
 
2.6%
Other values (68) 130
56.8%
ASCII
ValueCountFrequency (%)
( 31
48.4%
) 31
48.4%
- 1
 
1.6%
1
 
1.6%

최종수정일자
Date

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2002-09-10 18:07:19
Maximum2023-04-10 09:56:27
2024-05-11T06:21:19.475215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:21:19.945666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
I
31 
U
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 31
91.2%
U 3
 
8.8%

Length

2024-05-11T06:21:20.413429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:21:20.714955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 31
91.2%
u 3
 
8.8%

데이터갱신일자
Date

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-03 23:02:00
2024-05-11T06:21:21.104626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:21:21.561117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

업태구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing32
Missing (%)94.1%
Memory size404.0 B
2024-05-11T06:21:21.896652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12
Min length6

Characters and Unicode

Total characters24
Distinct characters15
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 row분뇨 처리업
2nd row하수, 분뇨 및 축산폐기물 처리업
ValueCountFrequency (%)
분뇨 2
28.6%
처리업 2
28.6%
하수 1
14.3%
및 1
14.3%
축산폐기물 1
14.3%
2024-05-11T06:21:22.667957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
20.8%
분 2
 
8.3%
뇨 2
 
8.3%
처 2
 
8.3%
리 2
 
8.3%
업 2
 
8.3%
하 1
 
4.2%
수 1
 
4.2%
, 1
 
4.2%
및 1
 
4.2%
Other values (5) 5
20.8%

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 (%)
분 2
11.1%
뇨 2
11.1%
처 2
11.1%
리 2
11.1%
업 2
11.1%
하 1
 
5.6%
수 1
 
5.6%
및 1
 
5.6%
축 1
 
5.6%
산 1
 
5.6%
Other values (3) 3
16.7%
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 (%)
분 2
11.1%
뇨 2
11.1%
처 2
11.1%
리 2
11.1%
업 2
11.1%
하 1
 
5.6%
수 1
 
5.6%
및 1
 
5.6%
축 1
 
5.6%
산 1
 
5.6%
Other values (3) 3
16.7%
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 (%)
분 2
11.1%
뇨 2
11.1%
처 2
11.1%
리 2
11.1%
업 2
11.1%
하 1
 
5.6%
수 1
 
5.6%
및 1
 
5.6%
축 1
 
5.6%
산 1
 
5.6%
Other values (3) 3
16.7%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)72.7%
Missing23
Missing (%)67.6%
Infinite0
Infinite (%)0.0%
Mean210056.11
Minimum208646.81
Maximum210758.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T06:21:22.951160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208646.81
5-th percentile208779.86
Q1209536.81
median210231.82
Q3210736.9
95-th percentile210758.12
Maximum210758.12
Range2111.3125
Interquartile range (IQR)1200.0992

Descriptive statistics

Standard deviation813.67929
Coefficient of variation (CV)0.0038736282
Kurtosis-0.8654691
Mean210056.11
Median Absolute Deviation (MAD)505.08156
Skewness-0.9190362
Sum2310617.2
Variance662073.99
MonotonicityNot monotonic
2024-05-11T06:21:23.279540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
210758.119119654 2
 
5.9%
210231.822848068 2
 
5.9%
210736.904409143 2
 
5.9%
210079.592497353 1
 
2.9%
208994.017991356 1
 
2.9%
210530.220720417 1
 
2.9%
208912.918756475 1
 
2.9%
208646.806570208 1
 
2.9%
(Missing) 23
67.6%
ValueCountFrequency (%)
208646.806570208 1
2.9%
208912.918756475 1
2.9%
208994.017991356 1
2.9%
210079.592497353 1
2.9%
210231.822848068 2
5.9%
210530.220720417 1
2.9%
210736.904409143 2
5.9%
210758.119119654 2
5.9%
ValueCountFrequency (%)
210758.119119654 2
5.9%
210736.904409143 2
5.9%
210530.220720417 1
2.9%
210231.822848068 2
5.9%
210079.592497353 1
2.9%
208994.017991356 1
2.9%
208912.918756475 1
2.9%
208646.806570208 1
2.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)72.7%
Missing23
Missing (%)67.6%
Infinite0
Infinite (%)0.0%
Mean444997.35
Minimum443662.96
Maximum447358.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-05-11T06:21:23.550707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443662.96
5-th percentile443662.96
Q1443841.34
median444720.58
Q3445788.38
95-th percentile447358.52
Maximum447358.52
Range3695.5667
Interquartile range (IQR)1947.0379

Descriptive statistics

Standard deviation1400.7477
Coefficient of variation (CV)0.0031477664
Kurtosis-0.65795368
Mean444997.35
Median Absolute Deviation (MAD)1029.623
Skewness0.82772236
Sum4894970.9
Variance1962094.2
MonotonicityNot monotonic
2024-05-11T06:21:23.893246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
443662.956402309 2
 
5.9%
447358.523151468 2
 
5.9%
443841.338101311 2
 
5.9%
445750.206337916 1
 
2.9%
445826.545566831 1
 
2.9%
444050.943990752 1
 
2.9%
444720.583302735 1
 
2.9%
444896.936862592 1
 
2.9%
(Missing) 23
67.6%
ValueCountFrequency (%)
443662.956402309 2
5.9%
443841.338101311 2
5.9%
444050.943990752 1
2.9%
444720.583302735 1
2.9%
444896.936862592 1
2.9%
445750.206337916 1
2.9%
445826.545566831 1
2.9%
447358.523151468 2
5.9%
ValueCountFrequency (%)
447358.523151468 2
5.9%
445826.545566831 1
2.9%
445750.206337916 1
2.9%
444896.936862592 1
2.9%
444720.583302735 1
2.9%
444050.943990752 1
2.9%
443841.338101311 2
5.9%
443662.956402309 2
5.9%

환경업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
분뇨등설계시공업관리
31 
<NA>
 
3

Length

Max length10
Median length10
Mean length9.4705882
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분뇨등설계시공업관리 31
91.2%
<NA> 3
 
8.8%

Length

2024-05-11T06:21:24.321800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:21:24.676910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분뇨등설계시공업관리 31
91.2%
na 3
 
8.8%

업종구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing32
Missing (%)94.1%
Memory size404.0 B
2024-05-11T06:21:24.987270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length12
Min length6

Characters and Unicode

Total characters24
Distinct characters15
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 row분뇨 처리업
2nd row하수, 분뇨 및 축산폐기물 처리업
ValueCountFrequency (%)
분뇨 2
28.6%
처리업 2
28.6%
하수 1
14.3%
및 1
14.3%
축산폐기물 1
14.3%
2024-05-11T06:21:25.732972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
20.8%
분 2
 
8.3%
뇨 2
 
8.3%
처 2
 
8.3%
리 2
 
8.3%
업 2
 
8.3%
하 1
 
4.2%
수 1
 
4.2%
, 1
 
4.2%
및 1
 
4.2%
Other values (5) 5
20.8%

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 (%)
분 2
11.1%
뇨 2
11.1%
처 2
11.1%
리 2
11.1%
업 2
11.1%
하 1
 
5.6%
수 1
 
5.6%
및 1
 
5.6%
축 1
 
5.6%
산 1
 
5.6%
Other values (3) 3
16.7%
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 (%)
분 2
11.1%
뇨 2
11.1%
처 2
11.1%
리 2
11.1%
업 2
11.1%
하 1
 
5.6%
수 1
 
5.6%
및 1
 
5.6%
축 1
 
5.6%
산 1
 
5.6%
Other values (3) 3
16.7%
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 (%)
분 2
11.1%
뇨 2
11.1%
처 2
11.1%
리 2
11.1%
업 2
11.1%
하 1
 
5.6%
수 1
 
5.6%
및 1
 
5.6%
축 1
 
5.6%
산 1
 
5.6%
Other values (3) 3
16.7%

종별명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

주생산품명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

배출시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

배출시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

방지시설조업시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

방지시설연간가동일수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
0323000032300005419970000119971020<NA>1영업/정상11영업<NA><NA><NA><NA>024210431<NA><NA>서울특별시 송파구 방이동 149-9서울특별시 송파구 백제고분로 490 (방이동)138832거보산업(주)2022-11-23 16:42:50U2021-10-31 22:05:00.0<NA>210079.592497445750.206338<NA><NA><NA><NA><NA><NA><NA><NA>
1323000032300005419970000319930202<NA>3폐업2폐업20031023<NA><NA><NA><NA><NA>138200서울특별시 송파구 문정동 107-7<NA><NA>(주)동일기술공사2007-10-24 14:36:53I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
232300003230000541997000041990-12-17<NA>1영업/정상11영업<NA><NA><NA><NA>0234345800<NA><NA>서울특별시 송파구 신천동 7-19서울특별시 송파구 올림픽로 289 (신천동, 잠실시그마타워)5510에이치엘디앤아이한라 주식회사2023-04-10 09:56:27U2022-12-03 23:02:00.0<NA>208994.017991445826.545567<NA><NA><NA><NA><NA><NA><NA><NA>
3323000032300005419970000519940312<NA>3폐업2폐업20080529<NA><NA><NA><NA><NA>138160서울특별시 송파구 가락동 78서울특별시 송파구 중대로 135 (가락동)<NA>(주)그린기술산업2008-05-30 09:26:58I2018-08-31 23:59:59.0<NA>210758.11912443662.956402분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
4323000032300005419970000719930721<NA>3폐업2폐업20030605<NA><NA><NA><NA><NA>138160서울특별시 송파구 가락동 174-14<NA><NA>(주)동성종합건설2007-10-24 14:38:08I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
5323000032300005419970000819940312<NA>3폐업2폐업20040519<NA><NA><NA><NA><NA>138160서울특별시 송파구 가락동 78서울특별시 송파구 중대로 135 (가락동)<NA>(주)그린기술산업2007-10-24 14:40:04I2018-08-31 23:59:59.0<NA>210758.11912443662.956402분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
6323000032300005419970001319951120<NA>3폐업2폐업20050228<NA><NA><NA><NA><NA>138040서울특별시 송파구 풍납동 399서울특별시 송파구 올림픽로47길 19 (풍납동)<NA>일조건설(주)2007-10-24 14:41:18I2018-08-31 23:59:59.0<NA>210231.822848447358.523151분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
7323000032300005419970001419941216<NA>3폐업2폐업19980901<NA><NA><NA><NA><NA>138190서울특별시 송파구 석촌동 180-5<NA><NA>(주)바루커농산2007-10-24 14:43:14I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
8323000032300005419980000919980909<NA>3폐업2폐업20030924<NA><NA><NA><NA><NA>138160서울특별시 송파구 가락동 57서울특별시 송파구 송이로 111 (가락동)<NA>(주)청석엔지니어링2007-10-24 14:44:18I2018-08-31 23:59:59.0<NA>210736.904409443841.338101분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
9323000032300005419980001619980422<NA>3폐업2폐업20001230<NA><NA><NA><NA><NA>138130서울특별시 송파구 오금동 95-5<NA><NA>리오환경산업(주)2007-10-24 14:46:29I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명업종구분명종별명주생산품명배출시설조업시간배출시설연간가동일수방지시설조업시간방지시설연간가동일수
24323000032300005420010003719830817<NA>3폐업2폐업20031120<NA><NA><NA><NA><NA>138224서울특별시 송파구 신천동 7-23<NA><NA>쌍용건설(주)2007-10-24 15:00:06I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
25323000032300005420010003920010517<NA>3폐업2폐업20030514<NA><NA><NA><NA><NA>138160서울특별시 송파구 가락동 93-11<NA><NA>(주)신우네이처2007-10-24 15:01:01I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
26323000032300005420010004019881103<NA>3폐업2폐업20031020<NA><NA><NA><NA><NA>138224서울특별시 송파구 신천동 7-23<NA><NA>남광토건(주)2007-10-24 15:01:33I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
27323000032300005420010004120010921<NA>3폐업2폐업20050721<NA><NA><NA><NA><NA>138190서울특별시 송파구 석촌동 226-5<NA><NA>(주)크린워터2007-10-24 15:02:12I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
2832300003230000542001000422001-12-10<NA>1영업/정상11영업<NA><NA><NA><NA>566-6820<NA><NA>서울특별시 송파구 석촌동 58-23 금한빌딩 201호서울특별시 송파구 석촌호수로18길 26, 201호 (석촌동, 금한빌딩)5614(주)선양엔지니어링2023-02-16 10:32:11U2022-12-01 23:08:00.0<NA>208912.918756444720.583303<NA><NA><NA><NA><NA><NA><NA><NA>
29323000032300005420010004320020215<NA>3폐업2폐업20031210<NA><NA><NA><NA><NA>138170서울특별시 송파구 송파동 138-6 보성빌딩 201<NA><NA>(주)뉴텍특수개발2007-10-24 15:03:04I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
30323000032300005420010004420020725<NA>3폐업2폐업20030509<NA><NA><NA><NA><NA>138180서울특별시 송파구 삼전동 119-22 2층<NA><NA>(주)바이오준테크2007-10-24 15:03:52I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
31323000032300005420010004520021014<NA>3폐업2폐업20031210<NA><NA><NA><NA><NA>138170서울특별시 송파구 송파동 138-6<NA><NA>뉴텍특수개발-주2007-10-24 14:32:07I2018-08-31 23:59:59.0<NA><NA><NA>분뇨등설계시공업관리<NA><NA><NA><NA><NA><NA><NA>
32323000032300005420030000120030127<NA>3폐업2폐업20071230<NA><NA><NA><NA><NA>138240서울특별시 송파구 신천동 11-9<NA><NA>코아엔지니어링2007-10-24 14:29:25I2018-08-31 23:59:59.0분뇨 처리업<NA><NA>분뇨등설계시공업관리분뇨 처리업<NA><NA><NA><NA><NA><NA>
33323000032300005420070000120070920<NA>3폐업2폐업20080123<NA><NA><NA>4235075<NA>138842서울특별시 송파구 석촌동 1-3 태호빌딩 403호서울특별시 송파구 석촌호수로 194 (석촌동,태호빌딩 403호)<NA>(주)수우미이엔지2008-01-23 11:05:23I2018-08-31 23:59:59.0하수, 분뇨 및 축산폐기물 처리업208646.80657444896.936863분뇨등설계시공업관리하수, 분뇨 및 축산폐기물 처리업<NA><NA><NA><NA><NA><NA>