Overview

Dataset statistics

Number of variables31
Number of observations46
Missing cells523
Missing cells (%)36.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.0 KiB
Average record size in memory266.9 B

Variable types

Categorical11
Numeric4
DateTime3
Unsupported9
Text4

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,폐기물처리업구분명,폐기물처리업별처리구분명,폐기물구분명,허용보관량,허용보관량내용
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-19318/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
허용보관량 is highly imbalanced (84.9%)Imbalance
인허가취소일자 has 46 (100.0%) missing valuesMissing
폐업일자 has 40 (87.0%) missing valuesMissing
휴업시작일자 has 46 (100.0%) missing valuesMissing
휴업종료일자 has 46 (100.0%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
전화번호 has 37 (80.4%) missing valuesMissing
소재지면적 has 46 (100.0%) missing valuesMissing
지번주소 has 4 (8.7%) missing valuesMissing
도로명주소 has 10 (21.7%) missing valuesMissing
업태구분명 has 46 (100.0%) missing valuesMissing
좌표정보(X) has 9 (19.6%) missing valuesMissing
좌표정보(Y) has 9 (19.6%) missing valuesMissing
폐기물처리업별처리구분명 has 46 (100.0%) missing valuesMissing
폐기물구분명 has 46 (100.0%) missing valuesMissing
허용보관량내용 has 46 (100.0%) missing valuesMissing
관리번호 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기물처리업별처리구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
폐기물구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
허용보관량내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 11:17:17.340577
Analysis finished2024-04-06 11:17:17.978151
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3160000
46 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 46
100.0%

Length

2024-04-06T20:17:18.087761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:18.238875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 46
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1600009 × 1017
Minimum3.1600009 × 1017
Maximum3.1600009 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-06T20:17:18.422935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1600009 × 1017
5-th percentile3.1600009 × 1017
Q13.1600009 × 1017
median3.1600009 × 1017
Q33.1600009 × 1017
95-th percentile3.1600009 × 1017
Maximum3.1600009 × 1017
Range1800000
Interquartile range (IQR)100032

Descriptive statistics

Standard deviation337743.18
Coefficient of variation (CV)1.0688072 × 10-12
Kurtosis10.595687
Mean3.1600009 × 1017
Median Absolute Deviation (MAD)0
Skewness3.0864109
Sum-3.9107398 × 1018
Variance1.1407046 × 1011
MonotonicityStrictly increasing
2024-04-06T20:17:18.660239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
316000092200500001 1
 
2.2%
316000092200700010 1
 
2.2%
316000092200700001 1
 
2.2%
316000092200700002 1
 
2.2%
316000092200700003 1
 
2.2%
316000092200700004 1
 
2.2%
316000092200700005 1
 
2.2%
316000092200700006 1
 
2.2%
316000092200700007 1
 
2.2%
316000092200700008 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
316000092200500001 1
2.2%
316000092200600001 1
2.2%
316000092200600002 1
2.2%
316000092200600003 1
2.2%
316000092200600004 1
2.2%
316000092200600005 1
2.2%
316000092200600006 1
2.2%
316000092200600008 1
2.2%
316000092200600009 1
2.2%
316000092200600010 1
2.2%
ValueCountFrequency (%)
316000092202300001 1
2.2%
316000092201800001 1
2.2%
316000092201300001 1
2.2%
316000092201200002 1
2.2%
316000092201200001 1
2.2%
316000092201100002 1
2.2%
316000092201100001 1
2.2%
316000092200900001 1
2.2%
316000092200700012 1
2.2%
316000092200700011 1
2.2%

인허가일자
Date

Distinct42
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2005-12-30 00:00:00
Maximum2023-04-07 00:00:00
2024-04-06T20:17:18.901060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:17:19.119694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
40 
3
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 40
87.0%
3 6
 
13.0%

Length

2024-04-06T20:17:19.373870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:19.564747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
87.0%
3 6
 
13.0%

영업상태명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업/정상
40 
폐업
6 

Length

Max length5
Median length5
Mean length4.6086957
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 40
87.0%
폐업 6
 
13.0%

Length

2024-04-06T20:17:19.777881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:19.954059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 40
87.0%
폐업 6
 
13.0%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
BBBB
40 
2
6 

Length

Max length4
Median length4
Mean length3.6086957
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 40
87.0%
2 6
 
13.0%

Length

2024-04-06T20:17:20.134614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:20.397178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 40
87.0%
2 6
 
13.0%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업
40 
폐업
6 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 40
87.0%
폐업 6
 
13.0%

Length

2024-04-06T20:17:20.579499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:20.757183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 40
87.0%
폐업 6
 
13.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)100.0%
Missing40
Missing (%)87.0%
Infinite0
Infinite (%)0.0%
Mean20137150
Minimum20100118
Maximum20181105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-06T20:17:20.947780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20100118
5-th percentile20105169
Q120120398
median20130424
Q320155434
95-th percentile20175954
Maximum20181105
Range80987
Interquartile range (IQR)35036.5

Descriptive statistics

Standard deviation29713.961
Coefficient of variation (CV)0.0014755793
Kurtosis-0.80313268
Mean20137150
Median Absolute Deviation (MAD)20090
Skewness0.43029783
Sum1.208229 × 108
Variance8.8291947 × 108
MonotonicityNot monotonic
2024-04-06T20:17:21.226517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
20100118 1
 
2.2%
20140227 1
 
2.2%
20120621 1
 
2.2%
20120323 1
 
2.2%
20160503 1
 
2.2%
20181105 1
 
2.2%
(Missing) 40
87.0%
ValueCountFrequency (%)
20100118 1
2.2%
20120323 1
2.2%
20120621 1
2.2%
20140227 1
2.2%
20160503 1
2.2%
20181105 1
2.2%
ValueCountFrequency (%)
20181105 1
2.2%
20160503 1
2.2%
20140227 1
2.2%
20120621 1
2.2%
20120323 1
2.2%
20100118 1
2.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전화번호
Text

MISSING 

Distinct5
Distinct (%)55.6%
Missing37
Missing (%)80.4%
Memory size500.0 B
2024-04-06T20:17:21.464283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.666667
Min length10

Characters and Unicode

Total characters105
Distinct characters9
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 (%)44.4%

Sample

1st row02-2614-8400
2nd row02-2614-8400
3rd row02-2614-8400
4th row02-2614-8400
5th row02-2614-8400
ValueCountFrequency (%)
02-2614-8400 5
55.6%
02-457-7564 1
 
11.1%
02-2658-4600 1
 
11.1%
02-2686-1484 1
 
11.1%
0226085748 1
 
11.1%
2024-04-06T20:17:22.012510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22
21.0%
2 17
16.2%
- 16
15.2%
4 16
15.2%
6 11
10.5%
8 10
9.5%
1 6
 
5.7%
5 4
 
3.8%
7 3
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 89
84.8%
Dash Punctuation 16
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22
24.7%
2 17
19.1%
4 16
18.0%
6 11
12.4%
8 10
11.2%
1 6
 
6.7%
5 4
 
4.5%
7 3
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 105
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22
21.0%
2 17
16.2%
- 16
15.2%
4 16
15.2%
6 11
10.5%
8 10
9.5%
1 6
 
5.7%
5 4
 
3.8%
7 3
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 105
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22
21.0%
2 17
16.2%
- 16
15.2%
4 16
15.2%
6 11
10.5%
8 10
9.5%
1 6
 
5.7%
5 4
 
3.8%
7 3
 
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소재지우편번호
Categorical

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size500.0 B
152-080
12 
<NA>
10 
152050
8 
152070
4 
152080
3 
Other values (7)
9 

Length

Max length7
Median length6.5
Mean length5.8478261
Min length4

Unique

Unique5 ?
Unique (%)10.9%

Sample

1st row152-080
2nd row152887
3rd row152720
4th row152-080
5th row152887

Common Values

ValueCountFrequency (%)
152-080 12
26.1%
<NA> 10
21.7%
152050 8
17.4%
152070 4
 
8.7%
152080 3
 
6.5%
152887 2
 
4.3%
152720 2
 
4.3%
152838 1
 
2.2%
152081 1
 
2.2%
139240 1
 
2.2%
Other values (2) 2
 
4.3%

Length

2024-04-06T20:17:22.242483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
152-080 12
26.1%
na 10
21.7%
152050 8
17.4%
152070 4
 
8.7%
152080 3
 
6.5%
152887 2
 
4.3%
152720 2
 
4.3%
152838 1
 
2.2%
152081 1
 
2.2%
139240 1
 
2.2%
Other values (2) 2
 
4.3%

지번주소
Text

MISSING 

Distinct21
Distinct (%)50.0%
Missing4
Missing (%)8.7%
Memory size500.0 B
2024-04-06T20:17:22.562728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32.5
Mean length24.047619
Min length19

Characters and Unicode

Total characters1010
Distinct characters65
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

Unique14 ?
Unique (%)33.3%

Sample

1st row서울특별시 구로구 항동 산 51-4
2nd row서울특별시 구로구 신도림동 400-1 금강리빙스텔 522호
3rd row서울특별시 구로구 구로동 SK허브수 B동 1432호
4th row서울특별시 구로구 항동 산 51-4
5th row서울특별시 구로구 신도림동 400-1번지
ValueCountFrequency (%)
서울특별시 42
20.1%
구로구 42
20.1%
항동 13
 
6.2%
산 13
 
6.2%
51-4 13
 
6.2%
구로동 11
 
5.3%
고척동 6
 
2.9%
신도림동 6
 
2.9%
오류동 5
 
2.4%
331-25 5
 
2.4%
Other values (31) 53
25.4%
2024-04-06T20:17:23.184084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
19.3%
구 95
 
9.4%
로 53
 
5.2%
동 46
 
4.6%
서 42
 
4.2%
특 42
 
4.2%
별 42
 
4.2%
시 42
 
4.2%
울 42
 
4.2%
1 42
 
4.2%
Other values (55) 369
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 590
58.4%
Space Separator 195
 
19.3%
Decimal Number 182
 
18.0%
Dash Punctuation 35
 
3.5%
Uppercase Letter 8
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 95
16.1%
로 53
 
9.0%
동 46
 
7.8%
서 42
 
7.1%
특 42
 
7.1%
별 42
 
7.1%
시 42
 
7.1%
울 42
 
7.1%
지 18
 
3.1%
번 18
 
3.1%
Other values (40) 150
25.4%
Decimal Number
ValueCountFrequency (%)
1 42
23.1%
4 32
17.6%
3 28
15.4%
5 23
12.6%
0 21
11.5%
2 16
 
8.8%
6 11
 
6.0%
8 4
 
2.2%
9 3
 
1.6%
7 2
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
50.0%
K 2
25.0%
S 2
25.0%
Space Separator
ValueCountFrequency (%)
195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 590
58.4%
Common 412
40.8%
Latin 8
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 95
16.1%
로 53
 
9.0%
동 46
 
7.8%
서 42
 
7.1%
특 42
 
7.1%
별 42
 
7.1%
시 42
 
7.1%
울 42
 
7.1%
지 18
 
3.1%
번 18
 
3.1%
Other values (40) 150
25.4%
Common
ValueCountFrequency (%)
195
47.3%
1 42
 
10.2%
- 35
 
8.5%
4 32
 
7.8%
3 28
 
6.8%
5 23
 
5.6%
0 21
 
5.1%
2 16
 
3.9%
6 11
 
2.7%
8 4
 
1.0%
Other values (2) 5
 
1.2%
Latin
ValueCountFrequency (%)
B 4
50.0%
K 2
25.0%
S 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 590
58.4%
ASCII 420
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
46.4%
1 42
 
10.0%
- 35
 
8.3%
4 32
 
7.6%
3 28
 
6.7%
5 23
 
5.5%
0 21
 
5.0%
2 16
 
3.8%
6 11
 
2.6%
8 4
 
1.0%
Other values (5) 13
 
3.1%
Hangul
ValueCountFrequency (%)
구 95
16.1%
로 53
 
9.0%
동 46
 
7.8%
서 42
 
7.1%
특 42
 
7.1%
별 42
 
7.1%
시 42
 
7.1%
울 42
 
7.1%
지 18
 
3.1%
번 18
 
3.1%
Other values (40) 150
25.4%

도로명주소
Text

MISSING 

Distinct19
Distinct (%)52.8%
Missing10
Missing (%)21.7%
Memory size500.0 B
2024-04-06T20:17:23.635152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length41
Mean length31.416667
Min length23

Characters and Unicode

Total characters1131
Distinct characters79
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)44.4%

Sample

1st row서울특별시 구로구 부광로 88, 7층 에이701호 (항동)
2nd row서울특별시 구로구 신도림로 7 (신도림동,금강리빙스텔 522호)
3rd row서울특별시 구로구 부광로 88, 7층 에이701호 (항동)
4th row서울특별시 구로구 신도림로 7 (신도림동)
5th row서울특별시 구로구 부광로 88, 7층 에이701호 (항동)
ValueCountFrequency (%)
서울특별시 36
15.7%
구로구 36
15.7%
부광로 13
 
5.7%
88 13
 
5.7%
7층 13
 
5.7%
에이701호 13
 
5.7%
항동 13
 
5.7%
고척동 6
 
2.6%
경인로 5
 
2.2%
121 5
 
2.2%
Other values (50) 77
33.5%
2024-04-06T20:17:24.216938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
 
17.8%
구 83
 
7.3%
로 82
 
7.3%
1 41
 
3.6%
동 40
 
3.5%
서 36
 
3.2%
울 36
 
3.2%
( 36
 
3.2%
) 36
 
3.2%
시 36
 
3.2%
Other values (69) 504
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 654
57.8%
Space Separator 201
 
17.8%
Decimal Number 171
 
15.1%
Open Punctuation 36
 
3.2%
Close Punctuation 36
 
3.2%
Other Punctuation 30
 
2.7%
Uppercase Letter 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 83
 
12.7%
로 82
 
12.5%
동 40
 
6.1%
서 36
 
5.5%
울 36
 
5.5%
시 36
 
5.5%
별 36
 
5.5%
특 36
 
5.5%
호 21
 
3.2%
층 16
 
2.4%
Other values (53) 232
35.5%
Decimal Number
ValueCountFrequency (%)
1 41
24.0%
7 31
18.1%
8 28
16.4%
0 24
14.0%
2 17
9.9%
6 10
 
5.8%
4 8
 
4.7%
3 7
 
4.1%
5 4
 
2.3%
9 1
 
0.6%
Space Separator
ValueCountFrequency (%)
201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 654
57.8%
Common 475
42.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 83
 
12.7%
로 82
 
12.5%
동 40
 
6.1%
서 36
 
5.5%
울 36
 
5.5%
시 36
 
5.5%
별 36
 
5.5%
특 36
 
5.5%
호 21
 
3.2%
층 16
 
2.4%
Other values (53) 232
35.5%
Common
ValueCountFrequency (%)
201
42.3%
1 41
 
8.6%
( 36
 
7.6%
) 36
 
7.6%
7 31
 
6.5%
, 30
 
6.3%
8 28
 
5.9%
0 24
 
5.1%
2 17
 
3.6%
6 10
 
2.1%
Other values (5) 21
 
4.4%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 654
57.8%
ASCII 477
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
42.1%
1 41
 
8.6%
( 36
 
7.5%
) 36
 
7.5%
7 31
 
6.5%
, 30
 
6.3%
8 28
 
5.9%
0 24
 
5.0%
2 17
 
3.6%
6 10
 
2.1%
Other values (6) 23
 
4.8%
Hangul
ValueCountFrequency (%)
구 83
 
12.7%
로 82
 
12.5%
동 40
 
6.1%
서 36
 
5.5%
울 36
 
5.5%
시 36
 
5.5%
별 36
 
5.5%
특 36
 
5.5%
호 21
 
3.2%
층 16
 
2.4%
Other values (53) 232
35.5%

도로명우편번호
Categorical

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
21 
08362
13 
08265
5 
152883
 
1
08302
 
1
Other values (5)
5 

Length

Max length7
Median length6
Mean length4.6304348
Min length4

Unique

Unique7 ?
Unique (%)15.2%

Sample

1st row08362
2nd row<NA>
3rd row<NA>
4th row08362
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 21
45.7%
08362 13
28.3%
08265 5
 
10.9%
152883 1
 
2.2%
08302 1
 
2.2%
152757 1
 
2.2%
08246 1
 
2.2%
152-826 1
 
2.2%
08216 1
 
2.2%
08353 1
 
2.2%

Length

2024-04-06T20:17:24.490125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:24.709219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
45.7%
08362 13
28.3%
08265 5
 
10.9%
152883 1
 
2.2%
08302 1
 
2.2%
152757 1
 
2.2%
08246 1
 
2.2%
152-826 1
 
2.2%
08216 1
 
2.2%
08353 1
 
2.2%

사업장명
Text

Distinct25
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-04-06T20:17:25.024995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.0217391
Min length4

Characters and Unicode

Total characters369
Distinct characters68
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

Unique19 ?
Unique (%)41.3%

Sample

1st row영특수츄레라(주)
2nd row광일에스앤에스(주)
3rd row푸른솔환경
4th row영특수츄레라(주)
5th row광일에스앤에스(주)
ValueCountFrequency (%)
영특수츄레라(주 12
26.1%
주)유진개발 5
 
10.9%
광일에스앤에스(주 4
 
8.7%
영복.청양중기 2
 
4.3%
지준산업(주 2
 
4.3%
푸른솔환경 2
 
4.3%
주)명성환경 2
 
4.3%
영복,청양중기 1
 
2.2%
태정건설환경(주 1
 
2.2%
한일환경개발(주 1
 
2.2%
Other values (14) 14
30.4%
2024-04-06T20:17:25.724825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 38
 
10.3%
) 37
 
10.0%
( 36
 
9.8%
영 15
 
4.1%
수 12
 
3.3%
츄 12
 
3.3%
레 12
 
3.3%
라 12
 
3.3%
특 12
 
3.3%
스 12
 
3.3%
Other values (58) 171
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
79.4%
Close Punctuation 37
 
10.0%
Open Punctuation 36
 
9.8%
Other Punctuation 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 38
 
13.0%
영 15
 
5.1%
수 12
 
4.1%
츄 12
 
4.1%
레 12
 
4.1%
라 12
 
4.1%
특 12
 
4.1%
스 12
 
4.1%
에 11
 
3.8%
경 11
 
3.8%
Other values (54) 146
49.8%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
79.4%
Common 76
 
20.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 38
 
13.0%
영 15
 
5.1%
수 12
 
4.1%
츄 12
 
4.1%
레 12
 
4.1%
라 12
 
4.1%
특 12
 
4.1%
스 12
 
4.1%
에 11
 
3.8%
경 11
 
3.8%
Other values (54) 146
49.8%
Common
ValueCountFrequency (%)
) 37
48.7%
( 36
47.4%
. 2
 
2.6%
, 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 293
79.4%
ASCII 76
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 38
 
13.0%
영 15
 
5.1%
수 12
 
4.1%
츄 12
 
4.1%
레 12
 
4.1%
라 12
 
4.1%
특 12
 
4.1%
스 12
 
4.1%
에 11
 
3.8%
경 11
 
3.8%
Other values (54) 146
49.8%
ASCII
ValueCountFrequency (%)
) 37
48.7%
( 36
47.4%
. 2
 
2.6%
, 1
 
1.3%

최종수정일자
Date

Distinct26
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2007-07-07 10:02:33
Maximum2024-04-04 09:06:36
2024-04-06T20:17:25.966753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:17:26.170875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
U
26 
I
20 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 26
56.5%
I 20
43.5%

Length

2024-04-06T20:17:26.405260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:26.551235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 26
56.5%
i 20
43.5%

데이터갱신일자
Date

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-04-06T20:17:26.705018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:17:26.918347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)37.8%
Missing9
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean186422.77
Minimum183746.69
Maximum190192.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-06T20:17:27.111074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183746.69
5-th percentile183746.69
Q1183746.69
median186806.59
Q3189035.54
95-th percentile190152.15
Maximum190192.77
Range6446.0809
Interquartile range (IQR)5288.8522

Descriptive statistics

Standard deviation2427.8483
Coefficient of variation (CV)0.013023347
Kurtosis-1.4702733
Mean186422.77
Median Absolute Deviation (MAD)2260.6866
Skewness0.22036
Sum6897642.4
Variance5894447.6
MonotonicityNot monotonic
2024-04-06T20:17:27.356277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
183746.686550444 13
28.3%
185351.345378075 5
 
10.9%
189067.276002245 3
 
6.5%
187619.596959162 3
 
6.5%
190151.087788499 3
 
6.5%
187033.989414747 2
 
4.3%
187686.56444717 1
 
2.2%
190192.767486236 1
 
2.2%
190156.399992266 1
 
2.2%
189035.538796408 1
 
2.2%
Other values (4) 4
 
8.7%
(Missing) 9
19.6%
ValueCountFrequency (%)
183746.686550444 13
28.3%
185351.345378075 5
 
10.9%
186806.589376651 1
 
2.2%
186914.38135061 1
 
2.2%
187033.989414747 2
 
4.3%
187619.596959162 3
 
6.5%
187686.56444717 1
 
2.2%
187756.919450472 1
 
2.2%
189035.538796408 1
 
2.2%
189047.773084017 1
 
2.2%
ValueCountFrequency (%)
190192.767486236 1
 
2.2%
190156.399992266 1
 
2.2%
190151.087788499 3
6.5%
189067.276002245 3
6.5%
189047.773084017 1
 
2.2%
189035.538796408 1
 
2.2%
187756.919450472 1
 
2.2%
187686.56444717 1
 
2.2%
187619.596959162 3
6.5%
187033.989414747 2
4.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)37.8%
Missing9
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean443254.21
Minimum441744.41
Maximum445369.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-04-06T20:17:27.559373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441744.41
5-th percentile441744.41
Q1441744.41
median443405.41
Q3444186.92
95-th percentile444891.61
Maximum445369.52
Range3625.1116
Interquartile range (IQR)2442.5169

Descriptive statistics

Standard deviation1260.1103
Coefficient of variation (CV)0.0028428614
Kurtosis-1.5302567
Mean443254.21
Median Absolute Deviation (MAD)1300.8085
Skewness-0.060084106
Sum16400406
Variance1587878
MonotonicityNot monotonic
2024-04-06T20:17:28.259541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
441744.40616131 13
28.3%
443405.408553756 5
 
10.9%
444891.605594405 3
 
6.5%
444186.923109714 3
 
6.5%
443666.065893922 3
 
6.5%
444682.651205792 2
 
4.3%
444006.400188251 1
 
2.2%
444706.217007655 1
 
2.2%
445369.517787461 1
 
2.2%
443022.606112742 1
 
2.2%
Other values (4) 4
 
8.7%
(Missing) 9
19.6%
ValueCountFrequency (%)
441744.40616131 13
28.3%
442658.621139659 1
 
2.2%
443022.606112742 1
 
2.2%
443405.408553756 5
 
10.9%
443666.065893922 3
 
6.5%
443962.832747371 1
 
2.2%
444006.400188251 1
 
2.2%
444186.923109714 3
 
6.5%
444661.044516811 1
 
2.2%
444682.651205792 2
 
4.3%
ValueCountFrequency (%)
445369.517787461 1
 
2.2%
444891.605594405 3
6.5%
444715.218537294 1
 
2.2%
444706.217007655 1
 
2.2%
444682.651205792 2
4.3%
444661.044516811 1
 
2.2%
444186.923109714 3
6.5%
444006.400188251 1
 
2.2%
443962.832747371 1
 
2.2%
443666.065893922 3
6.5%

환경업무구분명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
23 
건설폐기물처리업사업계획(허가)신청
23 

Length

Max length18
Median length11
Mean length11
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row건설폐기물처리업사업계획(허가)신청
4th row<NA>
5th row건설폐기물처리업사업계획(허가)신청

Common Values

ValueCountFrequency (%)
<NA> 23
50.0%
건설폐기물처리업사업계획(허가)신청 23
50.0%

Length

2024-04-06T20:17:28.578145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:28.786228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
50.0%
건설폐기물처리업사업계획(허가)신청 23
50.0%

폐기물처리업구분명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
32 
수집운반업(건설폐기물)
14 

Length

Max length12
Median length4
Mean length6.4347826
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row수집운반업(건설폐기물)
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 32
69.6%
수집운반업(건설폐기물) 14
30.4%

Length

2024-04-06T20:17:29.064898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:29.349688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
69.6%
수집운반업(건설폐기물 14
30.4%

폐기물처리업별처리구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

폐기물구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

허용보관량
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-04-06T20:17:29.559066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:17:29.746618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

허용보관량내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
031600003160000922005000012005-12-30<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>152-080서울특별시 구로구 항동 산 51-4서울특별시 구로구 부광로 88, 7층 에이701호 (항동)08362영특수츄레라(주)2024-01-23 10:21:24U2023-11-30 22:05:00.0<NA>183746.68655441744.406161<NA><NA><NA><NA><NA><NA>
1316000031600009220060000120060117<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>152887서울특별시 구로구 신도림동 400-1 금강리빙스텔 522호서울특별시 구로구 신도림로 7 (신도림동,금강리빙스텔 522호)<NA>광일에스앤에스(주)2022-12-21 17:43:42U2021-11-01 22:03:00.0<NA>189067.276002444891.605594<NA><NA><NA><NA><NA><NA>
2316000031600009220060000220100118<NA>3폐업2폐업20100118<NA><NA><NA><NA><NA>152720서울특별시 구로구 구로동 SK허브수 B동 1432호<NA><NA>푸른솔환경2010-01-18 14:36:02I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
331600003160000922006000032006-03-03<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>152-080서울특별시 구로구 항동 산 51-4서울특별시 구로구 부광로 88, 7층 에이701호 (항동)08362영특수츄레라(주)2024-01-23 10:21:24U2023-11-30 22:05:00.0<NA>183746.68655441744.406161<NA><NA><NA><NA><NA><NA>
4316000031600009220060000420060303<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>152887서울특별시 구로구 신도림동 400-1번지서울특별시 구로구 신도림로 7 (신도림동)<NA>광일에스앤에스(주)2008-10-01 11:15:57I2018-08-31 23:59:59.0<NA>189067.276002444891.605594건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
531600003160000922006000052006-03-24<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>152-080서울특별시 구로구 항동 산 51-4서울특별시 구로구 부광로 88, 7층 에이701호 (항동)08362영특수츄레라(주)2024-01-23 10:21:24U2023-11-30 22:05:00.0<NA>183746.68655441744.406161<NA><NA><NA><NA><NA><NA>
631600003160000922006000062006-04-26<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>152-080서울특별시 구로구 항동 산 51-4서울특별시 구로구 부광로 88, 7층 에이701호 (항동)08362영특수츄레라(주)2024-01-23 10:21:24U2023-11-30 22:05:00.0<NA>183746.68655441744.406161<NA><NA><NA><NA><NA><NA>
7316000031600009220060000820060525<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>152080서울특별시 구로구 고척동 103-10서울특별시 구로구 경인로43길 42 (고척동)<NA>성도건설산업(주)2022-01-13 07:38:53U2022-01-15 02:40:00.0<NA>187686.564447444006.400188건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
8316000031600009220060000920140227<NA>3폐업2폐업20140227<NA><NA><NA><NA><NA>152050서울특별시 구로구 고척동 103-4번지 가동 329호<NA><NA>(주)명성기업2014-02-27 13:11:45I2018-08-31 23:59:59.0<NA>187619.596959444186.92311건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
9316000031600009220060001020060612<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>152720서울특별시 구로구 구로동 SK허브수 B동 1432호<NA><NA>푸른솔환경2010-01-18 14:36:02I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청<NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
36316000031600009220070001120070619<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>152050서울특별시 구로구 구로동 98번지 대림오페라타워 B104호서울특별시 구로구 구로중앙로 60 (구로동,대림오페라타워 B104호)<NA>지준산업(주)2011-12-09 16:21:44I2018-08-31 23:59:59.0<NA>190151.087788443666.065894건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
3731600003160000922007000122007-06-29<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>152-080서울특별시 구로구 항동 산 51-4서울특별시 구로구 부광로 88, 7층 에이701호 (항동)08362영복,청양중기2024-04-04 09:06:36U2023-12-04 00:06:00.0<NA>183746.68655441744.406161<NA><NA><NA><NA><NA><NA>
38316000031600009220090000120091118<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>152081서울특별시 구로구 고척동 103-4번지 가동나열202호<NA><NA>(주)신명건설환경2011-03-22 15:46:48I2018-08-31 23:59:59.0<NA>187619.596959444186.92311건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
39316000031600009220110000120160503<NA>3폐업2폐업20160503<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 오리로21길 16-2, 115동 103호 (궁동, 동오그린빌라)152883유진그린환경(주)2016-05-03 09:27:33I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
40316000031600009220110000220181105<NA>3폐업2폐업20181105<NA><NA><NA>02-457-7564<NA>139240<NA>서울특별시 구로구 구로중앙로 60, 지층 104호 (구로동, 대림오페라타워)08302제이트랜스(주)2018-11-05 14:22:11U2018-11-07 02:37:53.0<NA>190151.087788443666.065894건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
41316000031600009220120000120120210<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2658-4600<NA>152757서울특별시 구로구 고척동 103-4번지 고척산업용품상가서울특별시 구로구 중앙로3길 50 (고척동, 가동 나열 202호)152757고려환경산업(주)2012-07-03 16:57:44I2018-08-31 23:59:59.0<NA>187619.596959444186.92311건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
4231600003160000922012000022012-02-01<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>156-091<NA>서울특별시 구로구 고척로43길 11 (고척동, 청민빌라)08246아이넷환경(주)2024-03-21 15:36:34U2023-12-02 22:03:00.0<NA>186806.589377444661.044517<NA><NA><NA><NA><NA><NA>
4331600003160000922013000012013-02-01<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2686-1484<NA><NA><NA>서울특별시 구로구 중앙로1길 42, 2층 6호 (고척동, 일이삼전자타운1동)152-826디더블유기업(주)2024-02-28 08:03:10U2023-12-03 00:01:00.0<NA>187756.91945443962.832747<NA><NA><NA><NA><NA><NA>
4431600003160000922018000012018-11-21<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0226085748<NA><NA>서울특별시 구로구 구로동 611-26 오퍼스1서울특별시 구로구 구로중앙로 207, 오퍼스1 지1층 비34호 (구로동)08216한일환경개발(주)2024-03-21 15:35:44U2023-12-02 22:03:00.0<NA>189047.773084444715.218537<NA><NA><NA><NA><NA><NA>
4531600003160000922023000012023-04-07<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 개봉동 361-4서울특별시 구로구 개봉로3길 61 (개봉동)08353태우환경2023-04-07 09:12:40U2022-12-04 00:09:00.0<NA>186914.381351442658.62114<NA><NA><NA><NA><NA><NA>