Overview

Dataset statistics

Number of variables31
Number of observations26
Missing cells286
Missing cells (%)35.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.8 KiB
Average record size in memory266.1 B

Variable types

Categorical9
Numeric3
DateTime5
Unsupported7
Text7

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),환경업무구분명,폐기물처리업구분명,폐기물처리업별처리구분명,폐기물구분명,허용보관량,허용보관량내용
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-19308/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 has constant value ""Constant
폐기물구분명 has constant value ""Constant
인허가취소일자 has 26 (100.0%) missing valuesMissing
폐업일자 has 22 (84.6%) missing valuesMissing
휴업시작일자 has 25 (96.2%) missing valuesMissing
휴업종료일자 has 26 (100.0%) missing valuesMissing
재개업일자 has 26 (100.0%) missing valuesMissing
전화번호 has 5 (19.2%) missing valuesMissing
소재지면적 has 26 (100.0%) missing valuesMissing
소재지우편번호 has 17 (65.4%) missing valuesMissing
도로명주소 has 4 (15.4%) missing valuesMissing
도로명우편번호 has 4 (15.4%) missing valuesMissing
업태구분명 has 26 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.8%) missing valuesMissing
좌표정보(Y) has 1 (3.8%) missing valuesMissing
폐기물처리업별처리구분명 has 26 (100.0%) missing valuesMissing
폐기물구분명 has 25 (96.2%) missing valuesMissing
허용보관량내용 has 26 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 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
허용보관량내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:12:42.219181
Analysis finished2024-04-06 12:12:42.971434
Duration0.75 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
3060000
26 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3060000
2nd row3060000
3rd row3060000
4th row3060000
5th row3060000

Common Values

ValueCountFrequency (%)
3060000 26
100.0%

Length

2024-04-06T21:12:43.142205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:12:43.340734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 26
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0600009 × 1017
Minimum3.0600009 × 1017
Maximum3.0600009 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:12:43.568863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0600009 × 1017
5-th percentile3.0600009 × 1017
Q13.0600009 × 1017
median3.0600009 × 1017
Q33.0600009 × 1017
95-th percentile3.0600009 × 1017
Maximum3.0600009 × 1017
Range2199996
Interquartile range (IQR)1074944

Descriptive statistics

Standard deviation627732.21
Coefficient of variation (CV)2.0514118 × 10-12
Kurtosis-1.1182693
Mean3.0600009 × 1017
Median Absolute Deviation (MAD)400000
Skewness0.30246489
Sum7.9560024 × 1018
Variance3.9404772 × 1011
MonotonicityStrictly increasing
2024-04-06T21:12:43.819170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
306000092200100005 1
 
3.8%
306000092201100001 1
 
3.8%
306000092202300001 1
 
3.8%
306000092202100002 1
 
3.8%
306000092202100001 1
 
3.8%
306000092202000001 1
 
3.8%
306000092201900002 1
 
3.8%
306000092201900001 1
 
3.8%
306000092201800001 1
 
3.8%
306000092201700001 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
306000092200100005 1
3.8%
306000092200300002 1
3.8%
306000092200400001 1
3.8%
306000092200700001 1
3.8%
306000092200700003 1
3.8%
306000092200700005 1
3.8%
306000092200700009 1
3.8%
306000092200700010 1
3.8%
306000092200800001 1
3.8%
306000092200800002 1
3.8%
ValueCountFrequency (%)
306000092202300001 1
3.8%
306000092202100002 1
3.8%
306000092202100001 1
3.8%
306000092202000001 1
3.8%
306000092201900002 1
3.8%
306000092201900001 1
3.8%
306000092201800001 1
3.8%
306000092201700001 1
3.8%
306000092201500002 1
3.8%
306000092201500001 1
3.8%

인허가일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2000-11-30 00:00:00
Maximum2023-11-22 00:00:00
2024-04-06T21:12:44.083724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:12:44.351411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

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
21 
3
4 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 21
80.8%
3 4
 
15.4%
2 1
 
3.8%

Length

2024-04-06T21:12:44.622893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:12:44.793494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
80.8%
3 4
 
15.4%
2 1
 
3.8%

영업상태명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업/정상
21 
폐업
4 
휴업
 
1

Length

Max length5
Median length5
Mean length4.4230769
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 21
80.8%
폐업 4
 
15.4%
휴업 1
 
3.8%

Length

2024-04-06T21:12:44.985724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:12:45.172699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 21
80.8%
폐업 4
 
15.4%
휴업 1
 
3.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
BBBB
21 
2
4 
1
 
1

Length

Max length4
Median length4
Mean length3.4230769
Min length1

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
BBBB 21
80.8%
2 4
 
15.4%
1 1
 
3.8%

Length

2024-04-06T21:12:45.407086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:12:45.607873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
bbbb 21
80.8%
2 4
 
15.4%
1 1
 
3.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
영업
21 
폐업
4 
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업 21
80.8%
폐업 4
 
15.4%
휴업 1
 
3.8%

Length

2024-04-06T21:12:45.807444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:12:45.976054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 21
80.8%
폐업 4
 
15.4%
휴업 1
 
3.8%

폐업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing22
Missing (%)84.6%
Memory size340.0 B
Minimum2009-07-17 00:00:00
Maximum2023-12-15 00:00:00
2024-04-06T21:12:46.143717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:12:46.349509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업시작일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
Minimum2023-12-14 00:00:00
Maximum2023-12-14 00:00:00
2024-04-06T21:12:46.539972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:12:47.109446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing5
Missing (%)19.2%
Memory size340.0 B
2024-04-06T21:12:47.455639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.428571
Min length8

Characters and Unicode

Total characters219
Distinct characters11
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

Unique21 ?
Unique (%)100.0%

Sample

1st row0222082244
2nd row02-433-6112
3rd row0222087474
4th row024355454
5th row02-435-6080
ValueCountFrequency (%)
0222082244 1
 
4.8%
02-432-8005 1
 
4.8%
024329261 1
 
4.8%
02-975-9966 1
 
4.8%
02-3423-3304 1
 
4.8%
02-470-0329 1
 
4.8%
02-2208-0405 1
 
4.8%
024335060 1
 
4.8%
0232960012 1
 
4.8%
02-930-2609 1
 
4.8%
Other values (11) 11
52.4%
2024-04-06T21:12:48.093118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 46
21.0%
0 40
18.3%
- 25
11.4%
4 24
11.0%
3 19
8.7%
9 15
 
6.8%
5 12
 
5.5%
7 10
 
4.6%
6 10
 
4.6%
8 9
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 194
88.6%
Dash Punctuation 25
 
11.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 46
23.7%
0 40
20.6%
4 24
12.4%
3 19
9.8%
9 15
 
7.7%
5 12
 
6.2%
7 10
 
5.2%
6 10
 
5.2%
8 9
 
4.6%
1 9
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 219
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 46
21.0%
0 40
18.3%
- 25
11.4%
4 24
11.0%
3 19
8.7%
9 15
 
6.8%
5 12
 
5.5%
7 10
 
4.6%
6 10
 
4.6%
8 9
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 219
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 46
21.0%
0 40
18.3%
- 25
11.4%
4 24
11.0%
3 19
8.7%
9 15
 
6.8%
5 12
 
5.5%
7 10
 
4.6%
6 10
 
4.6%
8 9
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Text

MISSING 

Distinct8
Distinct (%)88.9%
Missing17
Missing (%)65.4%
Memory size340.0 B
2024-04-06T21:12:48.386479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3333333
Min length6

Characters and Unicode

Total characters57
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

Unique7 ?
Unique (%)77.8%

Sample

1st row131-838
2nd row131120
3rd row131120
4th row131807
5th row131872
ValueCountFrequency (%)
131120 2
22.2%
131-838 1
11.1%
131807 1
11.1%
131872 1
11.1%
131848 1
11.1%
131-860 1
11.1%
131858 1
11.1%
131-830 1
11.1%
2024-04-06T21:12:48.885311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 20
35.1%
3 11
19.3%
8 10
17.5%
0 5
 
8.8%
2 3
 
5.3%
- 3
 
5.3%
7 2
 
3.5%
4 1
 
1.8%
6 1
 
1.8%
5 1
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54
94.7%
Dash Punctuation 3
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 20
37.0%
3 11
20.4%
8 10
18.5%
0 5
 
9.3%
2 3
 
5.6%
7 2
 
3.7%
4 1
 
1.9%
6 1
 
1.9%
5 1
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 20
35.1%
3 11
19.3%
8 10
17.5%
0 5
 
8.8%
2 3
 
5.3%
- 3
 
5.3%
7 2
 
3.5%
4 1
 
1.8%
6 1
 
1.8%
5 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 20
35.1%
3 11
19.3%
8 10
17.5%
0 5
 
8.8%
2 3
 
5.3%
- 3
 
5.3%
7 2
 
3.5%
4 1
 
1.8%
6 1
 
1.8%
5 1
 
1.8%

지번주소
Text

Distinct24
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-06T21:12:49.305338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length25.423077
Min length18

Characters and Unicode

Total characters661
Distinct characters80
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

Unique23 ?
Unique (%)88.5%

Sample

1st row서울특별시 중랑구 면목동 379-35
2nd row서울특별시 중랑구 묵동 240-3 2층
3rd row서울특별시 중랑구 면목동 1342-8
4th row서울특별시 중랑구 중화동 307-1 번지
5th row서울특별시 중랑구 중화동 320-24번지 2층
ValueCountFrequency (%)
서울특별시 26
19.7%
중랑구 26
19.7%
면목동 7
 
5.3%
신내동 6
 
4.5%
중화동 5
 
3.8%
23-1 3
 
2.3%
1342-8 3
 
2.3%
상봉동 3
 
2.3%
묵동 3
 
2.3%
2층 3
 
2.3%
Other values (46) 47
35.6%
2024-04-06T21:12:49.979075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
17.2%
중 31
 
4.7%
동 29
 
4.4%
서 27
 
4.1%
시 27
 
4.1%
특 26
 
3.9%
별 26
 
3.9%
랑 26
 
3.9%
구 26
 
3.9%
울 26
 
3.9%
Other values (70) 303
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
54.3%
Decimal Number 155
23.4%
Space Separator 114
 
17.2%
Dash Punctuation 22
 
3.3%
Uppercase Letter 11
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 31
 
8.6%
동 29
 
8.1%
서 27
 
7.5%
시 27
 
7.5%
특 26
 
7.2%
별 26
 
7.2%
랑 26
 
7.2%
구 26
 
7.2%
울 26
 
7.2%
호 10
 
2.8%
Other values (48) 105
29.2%
Decimal Number
ValueCountFrequency (%)
2 26
16.8%
1 25
16.1%
3 21
13.5%
4 19
12.3%
0 18
11.6%
8 14
9.0%
5 10
 
6.5%
6 10
 
6.5%
9 7
 
4.5%
7 5
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
S 2
18.2%
B 1
9.1%
K 1
9.1%
V 1
9.1%
O 1
9.1%
E 1
9.1%
G 1
9.1%
T 1
9.1%
W 1
9.1%
R 1
9.1%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
54.3%
Common 291
44.0%
Latin 11
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 31
 
8.6%
동 29
 
8.1%
서 27
 
7.5%
시 27
 
7.5%
특 26
 
7.2%
별 26
 
7.2%
랑 26
 
7.2%
구 26
 
7.2%
울 26
 
7.2%
호 10
 
2.8%
Other values (48) 105
29.2%
Common
ValueCountFrequency (%)
114
39.2%
2 26
 
8.9%
1 25
 
8.6%
- 22
 
7.6%
3 21
 
7.2%
4 19
 
6.5%
0 18
 
6.2%
8 14
 
4.8%
5 10
 
3.4%
6 10
 
3.4%
Other values (2) 12
 
4.1%
Latin
ValueCountFrequency (%)
S 2
18.2%
B 1
9.1%
K 1
9.1%
V 1
9.1%
O 1
9.1%
E 1
9.1%
G 1
9.1%
T 1
9.1%
W 1
9.1%
R 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
54.3%
ASCII 302
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
37.7%
2 26
 
8.6%
1 25
 
8.3%
- 22
 
7.3%
3 21
 
7.0%
4 19
 
6.3%
0 18
 
6.0%
8 14
 
4.6%
5 10
 
3.3%
6 10
 
3.3%
Other values (12) 23
 
7.6%
Hangul
ValueCountFrequency (%)
중 31
 
8.6%
동 29
 
8.1%
서 27
 
7.5%
시 27
 
7.5%
특 26
 
7.2%
별 26
 
7.2%
랑 26
 
7.2%
구 26
 
7.2%
울 26
 
7.2%
호 10
 
2.8%
Other values (48) 105
29.2%

도로명주소
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing4
Missing (%)15.4%
Memory size340.0 B
2024-04-06T21:12:50.436237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length36.5
Mean length32.954545
Min length22

Characters and Unicode

Total characters725
Distinct characters89
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

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 중랑구 면목로 241 (면목동)
2nd row서울특별시 중랑구 중랑역로 203, 2층 (묵동)
3rd row서울특별시 중랑구 용마산로 194 (면목동)
4th row서울특별시 중랑구 용마산로 194, 201호 (면목동, 용마산타워)
5th row서울특별시 중랑구 동일로 709, 1004호 (상봉동, SGTOWER)
ValueCountFrequency (%)
서울특별시 22
 
15.4%
중랑구 22
 
15.4%
면목동 7
 
4.9%
신내동 5
 
3.5%
33 4
 
2.8%
중화동 3
 
2.1%
상봉동 3
 
2.1%
용마산로 3
 
2.1%
묵동 3
 
2.1%
동일로136나길 3
 
2.1%
Other values (61) 68
47.6%
2024-04-06T21:12:51.123940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
16.7%
동 31
 
4.3%
1 27
 
3.7%
중 26
 
3.6%
서 23
 
3.2%
랑 23
 
3.2%
, 23
 
3.2%
시 23
 
3.2%
특 22
 
3.0%
울 22
 
3.0%
Other values (79) 384
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
54.6%
Decimal Number 129
 
17.8%
Space Separator 121
 
16.7%
Other Punctuation 23
 
3.2%
Close Punctuation 22
 
3.0%
Open Punctuation 22
 
3.0%
Uppercase Letter 11
 
1.5%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
7.8%
중 26
 
6.6%
서 23
 
5.8%
랑 23
 
5.8%
시 23
 
5.8%
특 22
 
5.6%
울 22
 
5.6%
구 22
 
5.6%
별 22
 
5.6%
로 21
 
5.3%
Other values (54) 161
40.7%
Decimal Number
ValueCountFrequency (%)
1 27
20.9%
3 21
16.3%
2 18
14.0%
0 17
13.2%
4 14
10.9%
9 8
 
6.2%
6 8
 
6.2%
7 6
 
4.7%
8 5
 
3.9%
5 5
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
18.2%
V 1
9.1%
B 1
9.1%
K 1
9.1%
G 1
9.1%
T 1
9.1%
O 1
9.1%
W 1
9.1%
E 1
9.1%
R 1
9.1%
Space Separator
ValueCountFrequency (%)
121
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
54.6%
Common 318
43.9%
Latin 11
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
7.8%
중 26
 
6.6%
서 23
 
5.8%
랑 23
 
5.8%
시 23
 
5.8%
특 22
 
5.6%
울 22
 
5.6%
구 22
 
5.6%
별 22
 
5.6%
로 21
 
5.3%
Other values (54) 161
40.7%
Common
ValueCountFrequency (%)
121
38.1%
1 27
 
8.5%
, 23
 
7.2%
) 22
 
6.9%
( 22
 
6.9%
3 21
 
6.6%
2 18
 
5.7%
0 17
 
5.3%
4 14
 
4.4%
9 8
 
2.5%
Other values (5) 25
 
7.9%
Latin
ValueCountFrequency (%)
S 2
18.2%
V 1
9.1%
B 1
9.1%
K 1
9.1%
G 1
9.1%
T 1
9.1%
O 1
9.1%
W 1
9.1%
E 1
9.1%
R 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
54.6%
ASCII 329
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
36.8%
1 27
 
8.2%
, 23
 
7.0%
) 22
 
6.7%
( 22
 
6.7%
3 21
 
6.4%
2 18
 
5.5%
0 17
 
5.2%
4 14
 
4.3%
9 8
 
2.4%
Other values (15) 36
 
10.9%
Hangul
ValueCountFrequency (%)
동 31
 
7.8%
중 26
 
6.6%
서 23
 
5.8%
랑 23
 
5.8%
시 23
 
5.8%
특 22
 
5.6%
울 22
 
5.6%
구 22
 
5.6%
별 22
 
5.6%
로 21
 
5.3%
Other values (54) 161
40.7%

도로명우편번호
Text

MISSING 

Distinct21
Distinct (%)95.5%
Missing4
Missing (%)15.4%
Memory size340.0 B
2024-04-06T21:12:51.412869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3181818
Min length5

Characters and Unicode

Total characters117
Distinct characters11
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

Unique20 ?
Unique (%)90.9%

Sample

1st row02245
2nd row02007
3rd row131-838
4th row02256
5th row02122
ValueCountFrequency (%)
02256 2
 
9.1%
02009 1
 
4.5%
02245 1
 
4.5%
02084 1
 
4.5%
02043 1
 
4.5%
02262 1
 
4.5%
02026 1
 
4.5%
02175 1
 
4.5%
02203 1
 
4.5%
02197 1
 
4.5%
Other values (11) 11
50.0%
2024-04-06T21:12:52.030293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
26.5%
2 31
26.5%
1 13
11.1%
3 8
 
6.8%
5 7
 
6.0%
8 6
 
5.1%
4 6
 
5.1%
6 5
 
4.3%
7 5
 
4.3%
- 3
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 114
97.4%
Dash Punctuation 3
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
27.2%
2 31
27.2%
1 13
11.4%
3 8
 
7.0%
5 7
 
6.1%
8 6
 
5.3%
4 6
 
5.3%
6 5
 
4.4%
7 5
 
4.4%
9 2
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
26.5%
2 31
26.5%
1 13
11.1%
3 8
 
6.8%
5 7
 
6.0%
8 6
 
5.1%
4 6
 
5.1%
6 5
 
4.3%
7 5
 
4.3%
- 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
26.5%
2 31
26.5%
1 13
11.1%
3 8
 
6.8%
5 7
 
6.0%
8 6
 
5.1%
4 6
 
5.1%
6 5
 
4.3%
7 5
 
4.3%
- 3
 
2.6%

사업장명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-04-06T21:12:52.394793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10.5
Mean length8.5769231
Min length2

Characters and Unicode

Total characters223
Distinct characters72
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

Unique26 ?
Unique (%)100.0%

Sample

1st row(공동대표)하나로건기
2nd row(주)상익공영
3rd row(공동대표)용마산건설기계
4th row(주)세진관리
5th row(주)승룡산업개발
ValueCountFrequency (%)
주식회사 3
 
10.3%
공동대표)하나로건기 1
 
3.4%
남부이앤티(주 1
 
3.4%
재신 1
 
3.4%
우리덤프 1
 
3.4%
주)후아그룹 1
 
3.4%
주)제이케이이앤시 1
 
3.4%
강북건설환경 1
 
3.4%
케이아이(주 1
 
3.4%
제일이앤디주식회사 1
 
3.4%
Other values (17) 17
58.6%
2024-04-06T21:12:52.967695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 19
 
8.5%
) 19
 
8.5%
주 17
 
7.6%
이 10
 
4.5%
건 9
 
4.0%
동 7
 
3.1%
대 7
 
3.1%
설 7
 
3.1%
공 7
 
3.1%
산 6
 
2.7%
Other values (62) 115
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182
81.6%
Open Punctuation 19
 
8.5%
Close Punctuation 19
 
8.5%
Space Separator 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 17
 
9.3%
이 10
 
5.5%
건 9
 
4.9%
동 7
 
3.8%
대 7
 
3.8%
설 7
 
3.8%
공 7
 
3.8%
산 6
 
3.3%
기 6
 
3.3%
표 6
 
3.3%
Other values (59) 100
54.9%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182
81.6%
Common 41
 
18.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 17
 
9.3%
이 10
 
5.5%
건 9
 
4.9%
동 7
 
3.8%
대 7
 
3.8%
설 7
 
3.8%
공 7
 
3.8%
산 6
 
3.3%
기 6
 
3.3%
표 6
 
3.3%
Other values (59) 100
54.9%
Common
ValueCountFrequency (%)
( 19
46.3%
) 19
46.3%
3
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182
81.6%
ASCII 41
 
18.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 19
46.3%
) 19
46.3%
3
 
7.3%
Hangul
ValueCountFrequency (%)
주 17
 
9.3%
이 10
 
5.5%
건 9
 
4.9%
동 7
 
3.8%
대 7
 
3.8%
설 7
 
3.8%
공 7
 
3.8%
산 6
 
3.3%
기 6
 
3.3%
표 6
 
3.3%
Other values (59) 100
54.9%

최종수정일자
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2007-07-21 10:43:55
Maximum2024-03-29 15:00:11
2024-04-06T21:12:53.268108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:12:53.586869image/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
U
21 
I
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 21
80.8%
I 5
 
19.2%

Length

2024-04-06T21:12:53.824247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:12:54.008885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 21
80.8%
i 5
 
19.2%

데이터갱신일자
Date

Distinct22
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:00:00
2024-04-06T21:12:54.197679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:12:54.468530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)84.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean207719.55
Minimum206608.82
Maximum209856.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:12:54.677473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206608.82
5-th percentile206655.66
Q1207224.07
median207564.34
Q3208231.36
95-th percentile208608.12
Maximum209856.12
Range3247.3004
Interquartile range (IQR)1007.2839

Descriptive statistics

Standard deviation752.14879
Coefficient of variation (CV)0.0036209822
Kurtosis1.1450279
Mean207719.55
Median Absolute Deviation (MAD)572.56692
Skewness0.71632706
Sum5192988.8
Variance565727.8
MonotonicityNot monotonic
2024-04-06T21:12:54.915190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
207564.341809894 3
 
11.5%
207224.072594161 3
 
11.5%
207423.955101627 1
 
3.8%
207990.479257211 1
 
3.8%
208640.339442641 1
 
3.8%
208231.356512091 1
 
3.8%
209856.1161416 1
 
3.8%
208294.257367707 1
 
3.8%
208479.252221523 1
 
3.8%
208263.088527414 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
206608.815698166 1
 
3.8%
206626.781470177 1
 
3.8%
206771.15883718 1
 
3.8%
206859.21503478 1
 
3.8%
206974.095837709 1
 
3.8%
207172.150396333 1
 
3.8%
207224.072594161 3
11.5%
207423.955101627 1
 
3.8%
207564.341809894 3
11.5%
207855.078674081 1
 
3.8%
ValueCountFrequency (%)
209856.1161416 1
3.8%
208640.339442641 1
3.8%
208479.252221523 1
3.8%
208344.803726113 1
3.8%
208294.257367707 1
3.8%
208263.088527414 1
3.8%
208231.356512091 1
3.8%
208136.908729599 1
3.8%
208112.860200669 1
3.8%
207990.479257211 1
3.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)84.0%
Missing1
Missing (%)3.8%
Infinite0
Infinite (%)0.0%
Mean454915.73
Minimum452077.78
Maximum457183.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-04-06T21:12:55.296945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452077.78
5-th percentile452077.78
Q1453815.81
median455433.86
Q3456339.6
95-th percentile457043.29
Maximum457183.64
Range5105.855
Interquartile range (IQR)2523.786

Descriptive statistics

Standard deviation1691.8149
Coefficient of variation (CV)0.0037189632
Kurtosis-0.93892568
Mean454915.73
Median Absolute Deviation (MAD)1198.2528
Skewness-0.52026769
Sum11372893
Variance2862237.6
MonotonicityNot monotonic
2024-04-06T21:12:55.651496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
452077.782812274 3
 
11.5%
455685.940777641 3
 
11.5%
452476.697093769 1
 
3.8%
457183.637796144 1
 
3.8%
455474.251589221 1
 
3.8%
456138.417214882 1
 
3.8%
456761.921129526 1
 
3.8%
456632.108607443 1
 
3.8%
454266.619885175 1
 
3.8%
453813.14793201 1
 
3.8%
Other values (11) 11
42.3%
ValueCountFrequency (%)
452077.782812274 3
11.5%
452240.929711134 1
 
3.8%
452476.697093769 1
 
3.8%
453813.14793201 1
 
3.8%
453815.814796765 1
 
3.8%
454227.126047154 1
 
3.8%
454266.619885175 1
 
3.8%
454601.381554597 1
 
3.8%
454869.033338356 1
 
3.8%
454980.023827024 1
 
3.8%
ValueCountFrequency (%)
457183.637796144 1
 
3.8%
457113.638411288 1
 
3.8%
456761.921129526 1
 
3.8%
456654.831186357 1
 
3.8%
456632.108607443 1
 
3.8%
456579.093289836 1
 
3.8%
456339.600802829 1
 
3.8%
456138.417214882 1
 
3.8%
455685.940777641 3
11.5%
455474.251589221 1
 
3.8%

환경업무구분명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
19 
건설폐기물처리업사업계획(허가)신청
7 

Length

Max length18
Median length4
Mean length7.7692308
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
73.1%
건설폐기물처리업사업계획(허가)신청 7
 
26.9%

Length

2024-04-06T21:12:55.921774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:12:56.152270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
73.1%
건설폐기물처리업사업계획(허가)신청 7
 
26.9%

폐기물처리업구분명
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
19 
수집운반업(건설폐기물)
7 

Length

Max length12
Median length4
Mean length6.1538462
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
73.1%
수집운반업(건설폐기물) 7
 
26.9%

Length

2024-04-06T21:12:56.418351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:12:56.622921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
73.1%
수집운반업(건설폐기물 7
 
26.9%

폐기물처리업별처리구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

폐기물구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing25
Missing (%)96.2%
Memory size340.0 B
2024-04-06T21:12:56.813564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row건설폐기물
ValueCountFrequency (%)
건설폐기물 1
100.0%
2024-04-06T21:12:57.276206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
건 1
20.0%
설 1
20.0%
폐 1
20.0%
기 1
20.0%
물 1
20.0%

허용보관량
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
<NA>
20 
0
6 

Length

Max length4
Median length4
Mean length3.3076923
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 20
76.9%
0 6
 
23.1%

Length

2024-04-06T21:12:57.578741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:12:57.850363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
76.9%
0 6
 
23.1%

허용보관량내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
030600003060000922001000052001-05-24<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0222082244<NA><NA>서울특별시 중랑구 면목동 379-35서울특별시 중랑구 면목로 241 (면목동)02245(공동대표)하나로건기2023-12-12 14:27:29U2022-11-01 23:04:00.0<NA>207423.955102452476.697094<NA><NA><NA><NA><NA><NA>
1306000030600009220030000220031030<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-433-6112<NA><NA>서울특별시 중랑구 묵동 240-3 2층서울특별시 중랑구 중랑역로 203, 2층 (묵동)02007(주)상익공영2022-11-30 11:36:10U2021-11-02 00:02:00.0<NA>206608.815698456579.09329<NA><NA><NA><NA><NA><NA>
230600003060000922004000012004-08-17<NA>3폐업2폐업2023-12-15<NA><NA><NA><NA><NA>131-838서울특별시 중랑구 면목동 1342-8서울특별시 중랑구 용마산로 194 (면목동)131-838(공동대표)용마산건설기계2023-12-19 11:15:48U2022-11-01 22:01:00.0<NA>207564.34181452077.782812<NA><NA><NA><NA><NA><NA>
3306000030600009220070000120070126<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA>131120서울특별시 중랑구 중화동 307-1 번지<NA><NA>(주)세진관리2007-07-21 10:43:55I2018-08-31 23:59:59.0<NA><NA><NA>건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA>건설폐기물0<NA>
4306000030600009220070000320070808<NA>3폐업2폐업20090717<NA><NA><NA><NA><NA>131120서울특별시 중랑구 중화동 320-24번지 2층<NA><NA>(주)승룡산업개발2009-07-17 15:37:49I2018-08-31 23:59:59.0<NA>206626.78147454869.033338건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
530600003060000922007000052000-11-30<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0222087474<NA><NA>서울특별시 중랑구 면목동 1342-8 용마산타워 201호서울특별시 중랑구 용마산로 194, 201호 (면목동, 용마산타워)02256(공동대표)용마산건설2024-03-25 08:57:52U2023-12-02 22:07:00.0<NA>207564.34181452077.782812<NA><NA><NA><NA><NA><NA>
6306000030600009220070000920110429<NA>3폐업2폐업20110429<NA><NA><NA>024355454<NA>131807서울특별시 중랑구 망우동 526-25번지<NA><NA>(주)해광개발2011-04-29 17:27:39I2018-08-31 23:59:59.0<NA>208344.803726454227.126047건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
730600003060000922007000102001-01-17<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-435-6080<NA><NA>서울특별시 중랑구 상봉동 128-10 SGTOWER 1004호서울특별시 중랑구 동일로 709, 1004호 (상봉동, SGTOWER)02122(공동대표)해광중기2024-03-29 15:00:11U2023-12-02 21:01:00.0<NA>206974.095838454601.381555<NA><NA><NA><NA><NA><NA>
8306000030600009220080000120080311<NA>1영업/정상BBBB영업<NA><NA><NA><NA>9976-844<NA>131872서울특별시 중랑구 신내동 646번지 금강리빙스텔523<NA><NA>지준2011-07-27 13:35:37I2018-08-31 23:59:59.0<NA>208112.860201457113.638411건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA>0<NA>
9306000030600009220080000220010712<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-978-7655<NA>131848서울특별시 중랑구 묵동 174-4서울특별시 중랑구 공릉로2길 7 (묵동)02034(공동대표)남양건기2022-07-05 09:47:07U2021-12-07 00:07:00.0<NA>206859.215035456654.831186<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)환경업무구분명폐기물처리업구분명폐기물처리업별처리구분명폐기물구분명허용보관량허용보관량내용
1630600003060000922015000012015-06-09<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-432-8005<NA><NA>서울특별시 중랑구 상봉동 63 건영2차아파트 생활편익시설동 404호서울특별시 중랑구 신내로7나길 24, 생활편익시설동 404호 (상봉동, 건영2차아파트)02084주식회사 양원건설환경2023-08-22 09:03:24U2022-12-07 22:04:00.0<NA>208136.90873455433.855856<NA><NA><NA><NA><NA><NA>
1730600003060000922015000022015-09-16<NA>2휴업1휴업<NA>2023-12-14<NA><NA>02-930-2609<NA><NA>서울특별시 중랑구 신내동 648 디아뜨갤러리 308호서울특별시 중랑구 신내로 225, 디아뜨갤러리 308호 (신내동)02024동광건설기계2023-12-15 12:59:12U2022-11-01 23:07:00.0<NA>207990.479257457183.637796<NA><NA><NA><NA><NA><NA>
1830600003060000922017000012017-03-16<NA>1영업/정상BBBB영업<NA><NA><NA><NA>0232960012<NA><NA>서울특별시 중랑구 묵동 244-169 303호서울특별시 중랑구 동일로157가길 11, 303호 (묵동)02009제일이앤디주식회사2023-07-18 19:05:31U2022-12-06 22:00:00.0<NA>206771.158837456339.600803<NA><NA><NA><NA><NA><NA>
1930600003060000922018000012018-11-12<NA>1영업/정상BBBB영업<NA><NA><NA><NA>024335060<NA><NA>서울특별시 중랑구 면목동 108-1서울특별시 중랑구 면목로66길 27, 103호 (면목동)02197케이아이(주)2023-08-16 17:24:44U2022-12-07 23:08:00.0<NA>207855.078674453815.814797<NA><NA><NA><NA><NA><NA>
20306000030600009220190000120190904<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-2208-0405<NA><NA>서울특별시 중랑구 면목동 68-2 서일타운 415호서울특별시 중랑구 상봉로 7, 서일타운 415호 (면목동)02203주식회사 강북건설환경2021-06-15 17:34:06U2021-06-17 02:40:00.0<NA>208263.088527453813.147932건설폐기물처리업사업계획(허가)신청수집운반업(건설폐기물)<NA><NA><NA><NA>
2130600003060000922019000022019-05-17<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-470-0329<NA><NA>서울특별시 중랑구 망우동 531-35 3층서울특별시 중랑구 겸재로 263, 3층 (망우동)02175(주)제이케이이앤시2024-03-08 17:46:33U2023-12-02 23:00:00.0<NA>208479.252222454266.619885<NA><NA><NA><NA><NA><NA>
2230600003060000922020000012020-03-30<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-3423-3304<NA><NA>서울특별시 중랑구 신내동 657 신내9단지아파트 1동 208호서울특별시 중랑구 신내로 135, 신내9단지아파트 상가 1동 208호 (신내동)02026(주)후아그룹2024-03-19 11:27:25U2023-12-02 22:01:00.0<NA>208294.257368456632.108607<NA><NA><NA><NA><NA><NA>
2330600003060000922021000012021-06-24<NA>1영업/정상BBBB영업<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 신내동 821-2 SKV1센터 B동 1028호서울특별시 중랑구 신내역로 111, SKV1센터 B동 1028호 (신내동)02262우리덤프2024-02-15 14:59:59U2023-12-01 23:07:00.0<NA>209856.116142456761.92113<NA><NA><NA><NA><NA><NA>
2430600003060000922021000022021-02-08<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-975-9966<NA><NA>서울특별시 중랑구 신내동 661 408호서울특별시 중랑구 봉화산로 189, 408호 (신내동)02043재신 주식회사2024-01-22 15:15:42U2023-11-30 22:04:00.0<NA>208231.356512456138.417215<NA><NA><NA><NA><NA><NA>
2530600003060000922023000012023-11-22<NA>1영업/정상BBBB영업<NA><NA><NA><NA>02-433-1927<NA><NA>서울특별시 중랑구 신내동 493-84 202호서울특별시 중랑구 송림길 46-4, 202호 (신내동)02072(주)와이제이환경2023-11-22 18:30:17U2022-10-31 22:04:00.0<NA>208640.339443455474.251589<NA><NA><NA><NA><NA><NA>