Overview

Dataset statistics

Number of variables33
Number of observations67
Missing cells732
Missing cells (%)33.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.7 KiB
Average record size in memory286.0 B

Variable types

Categorical11
Numeric4
DateTime4
Unsupported9
Text5

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),업무구분,건축물명,건축물연면적,건축물상태명,청소대상시작일자,청소대상종료일자,휴업폐지사유,업무구분명
Author중랑구
URLhttps://data.seoul.go.kr/dataList/OA-19483/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (88.8%)Imbalance
휴업종료일자 is highly imbalanced (88.8%)Imbalance
건축물연면적 is highly imbalanced (67.4%)Imbalance
인허가취소일자 has 67 (100.0%) missing valuesMissing
폐업일자 has 42 (62.7%) missing valuesMissing
재개업일자 has 67 (100.0%) missing valuesMissing
전화번호 has 5 (7.5%) missing valuesMissing
소재지면적 has 67 (100.0%) missing valuesMissing
소재지우편번호 has 67 (100.0%) missing valuesMissing
도로명우편번호 has 39 (58.2%) missing valuesMissing
업태구분명 has 67 (100.0%) missing valuesMissing
건축물명 has 67 (100.0%) missing valuesMissing
건축물상태명 has 67 (100.0%) missing valuesMissing
청소대상시작일자 has 67 (100.0%) missing valuesMissing
청소대상종료일자 has 67 (100.0%) missing valuesMissing
휴업폐지사유 has 43 (64.2%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 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
건축물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건축물상태명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소대상종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:28:44.070929
Analysis finished2024-05-11 05:28:44.839366
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
3060000
67 

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 67
100.0%

Length

2024-05-11T14:28:44.951849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:45.121680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3060000 67
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0600003 × 1017
Minimum3.0600003 × 1017
Maximum3.0600003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T14:28:45.323330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.0600003 × 1017
5-th percentile3.0600003 × 1017
Q13.0600003 × 1017
median3.0600003 × 1017
Q33.0600003 × 1017
95-th percentile3.0600003 × 1017
Maximum3.0600003 × 1017
Range2900001
Interquartile range (IQR)1200000

Descriptive statistics

Standard deviation806314.33
Coefficient of variation (CV)2.6350139 × 10-12
Kurtosis-0.87612387
Mean3.0600003 × 1017
Median Absolute Deviation (MAD)699968
Skewness0.10737291
Sum2.055258 × 1018
Variance6.5014281 × 1011
MonotonicityStrictly increasing
2024-05-11T14:28:45.594687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
306000031199500001 1
 
1.5%
306000031201200001 1
 
1.5%
306000031201600002 1
 
1.5%
306000031201600001 1
 
1.5%
306000031201500003 1
 
1.5%
306000031201500002 1
 
1.5%
306000031201500001 1
 
1.5%
306000031201300001 1
 
1.5%
306000031201100002 1
 
1.5%
306000031199500002 1
 
1.5%
Other values (57) 57
85.1%
ValueCountFrequency (%)
306000031199500001 1
1.5%
306000031199500002 1
1.5%
306000031199500003 1
1.5%
306000031199500004 1
1.5%
306000031199500005 1
1.5%
306000031199700001 1
1.5%
306000031199800001 1
1.5%
306000031200000001 1
1.5%
306000031200000002 1
1.5%
306000031200100001 1
1.5%
ValueCountFrequency (%)
306000031202400002 1
1.5%
306000031202400001 1
1.5%
306000031202300002 1
1.5%
306000031202300001 1
1.5%
306000031202100002 1
1.5%
306000031202100001 1
1.5%
306000031202000003 1
1.5%
306000031202000002 1
1.5%
306000031202000001 1
1.5%
306000031201800004 1
1.5%

인허가일자
Date

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum1995-04-06 00:00:00
Maximum2024-01-18 00:00:00
2024-05-11T14:28:45.921650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:46.173976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
1
36 
3
29 
5
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 36
53.7%
3 29
43.3%
5 1
 
1.5%
2 1
 
1.5%

Length

2024-05-11T14:28:46.384226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:46.547102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
53.7%
3 29
43.3%
5 1
 
1.5%
2 1
 
1.5%

영업상태명
Categorical

Distinct4
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
영업/정상
36 
폐업
29 
제외/삭제/전출
 
1
휴업
 
1

Length

Max length8
Median length5
Mean length3.7014925
Min length2

Unique

Unique2 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 36
53.7%
폐업 29
43.3%
제외/삭제/전출 1
 
1.5%
휴업 1
 
1.5%

Length

2024-05-11T14:28:46.746905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:46.920947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 36
53.7%
폐업 29
43.3%
제외/삭제/전출 1
 
1.5%
휴업 1
 
1.5%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
11
36 
2
29 
5
 
1
1
 
1

Length

Max length2
Median length2
Mean length1.5373134
Min length1

Unique

Unique2 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 36
53.7%
2 29
43.3%
5 1
 
1.5%
1 1
 
1.5%

Length

2024-05-11T14:28:47.140612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:47.330222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 36
53.7%
2 29
43.3%
5 1
 
1.5%
1 1
 
1.5%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
정상
36 
폐업
29 
제외사항
 
1
휴업
 
1

Length

Max length4
Median length2
Mean length2.0298507
Min length2

Unique

Unique2 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 36
53.7%
폐업 29
43.3%
제외사항 1
 
1.5%
휴업 1
 
1.5%

Length

2024-05-11T14:28:47.578677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:47.922793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 36
53.7%
폐업 29
43.3%
제외사항 1
 
1.5%
휴업 1
 
1.5%

폐업일자
Date

MISSING 

Distinct25
Distinct (%)100.0%
Missing42
Missing (%)62.7%
Memory size668.0 B
Minimum2006-03-20 00:00:00
Maximum2024-04-22 00:00:00
2024-05-11T14:28:48.127466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:48.443177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
66 
20220407
 
1

Length

Max length8
Median length4
Mean length4.0597015
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 66
98.5%
20220407 1
 
1.5%

Length

2024-05-11T14:28:48.688880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:48.877319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
98.5%
20220407 1
 
1.5%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
66 
20270406
 
1

Length

Max length8
Median length4
Mean length4.0597015
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 66
98.5%
20270406 1
 
1.5%

Length

2024-05-11T14:28:49.064600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:49.227965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
98.5%
20270406 1
 
1.5%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

전화번호
Text

MISSING 

Distinct61
Distinct (%)98.4%
Missing5
Missing (%)7.5%
Memory size668.0 B
2024-05-11T14:28:49.576171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.629032
Min length8

Characters and Unicode

Total characters659
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)96.8%

Sample

1st row02-437-4386
2nd row02-949-0371
3rd row02-949-2741
4th row02-438-2266
5th row02-434-1288
ValueCountFrequency (%)
02-492-1183 2
 
3.2%
02-2208-5145 1
 
1.6%
02-437-4386 1
 
1.6%
02-432-1946 1
 
1.6%
494-5568 1
 
1.6%
431-0705 1
 
1.6%
433-0985 1
 
1.6%
02-3421-4343 1
 
1.6%
029717224 1
 
1.6%
0222090591 1
 
1.6%
Other values (51) 51
82.3%
2024-05-11T14:28:50.317963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 106
16.1%
- 102
15.5%
0 98
14.9%
4 71
10.8%
1 56
8.5%
9 54
8.2%
3 44
6.7%
7 38
 
5.8%
8 34
 
5.2%
5 31
 
4.7%
Other values (2) 25
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 556
84.4%
Dash Punctuation 102
 
15.5%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 106
19.1%
0 98
17.6%
4 71
12.8%
1 56
10.1%
9 54
9.7%
3 44
7.9%
7 38
 
6.8%
8 34
 
6.1%
5 31
 
5.6%
6 24
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 659
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 106
16.1%
- 102
15.5%
0 98
14.9%
4 71
10.8%
1 56
8.5%
9 54
8.2%
3 44
6.7%
7 38
 
5.8%
8 34
 
5.2%
5 31
 
4.7%
Other values (2) 25
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 659
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 106
16.1%
- 102
15.5%
0 98
14.9%
4 71
10.8%
1 56
8.5%
9 54
8.2%
3 44
6.7%
7 38
 
5.8%
8 34
 
5.2%
5 31
 
4.7%
Other values (2) 25
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

지번주소
Text

Distinct63
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-05-11T14:28:50.760240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length30
Mean length23.134328
Min length17

Characters and Unicode

Total characters1550
Distinct characters106
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)89.6%

Sample

1st row서울특별시 중랑구 면목동 ***-**
2nd row서울특별시 중랑구 신내동 *** 신내우디안프라자 ***호
3rd row서울특별시 중랑구 묵동 174-4
4th row서울특별시 중랑구 면목동 ****
5th row서울특별시 중랑구 중화동 ***-* 중화제일프라자상가 ***호
ValueCountFrequency (%)
서울특별시 67
21.2%
중랑구 65
20.6%
31
9.8%
면목동 23
 
7.3%
신내동 14
 
4.4%
호 13
 
4.1%
망우동 11
 
3.5%
묵동 6
 
1.9%
중화동 6
 
1.9%
층 5
 
1.6%
Other values (69) 75
23.7%
2024-05-11T14:28:51.336815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
280
18.1%
* 175
 
11.3%
중 72
 
4.6%
동 70
 
4.5%
시 69
 
4.5%
울 68
 
4.4%
구 67
 
4.3%
서 67
 
4.3%
별 67
 
4.3%
특 67
 
4.3%
Other values (96) 548
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 860
55.5%
Space Separator 280
 
18.1%
Other Punctuation 175
 
11.3%
Decimal Number 166
 
10.7%
Dash Punctuation 55
 
3.5%
Uppercase Letter 6
 
0.4%
Lowercase Letter 6
 
0.4%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 72
 
8.4%
동 70
 
8.1%
시 69
 
8.0%
울 68
 
7.9%
구 67
 
7.8%
서 67
 
7.8%
별 67
 
7.8%
특 67
 
7.8%
랑 65
 
7.6%
목 23
 
2.7%
Other values (71) 225
26.2%
Decimal Number
ValueCountFrequency (%)
4 28
16.9%
1 26
15.7%
3 21
12.7%
5 21
12.7%
2 18
10.8%
7 16
9.6%
6 10
 
6.0%
0 10
 
6.0%
8 9
 
5.4%
9 7
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
S 1
16.7%
K 1
16.7%
V 1
16.7%
A 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
c 1
16.7%
n 1
16.7%
t 1
16.7%
r 1
16.7%
Space Separator
ValueCountFrequency (%)
280
100.0%
Other Punctuation
ValueCountFrequency (%)
* 175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 860
55.5%
Common 678
43.7%
Latin 12
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 72
 
8.4%
동 70
 
8.1%
시 69
 
8.0%
울 68
 
7.9%
구 67
 
7.8%
서 67
 
7.8%
별 67
 
7.8%
특 67
 
7.8%
랑 65
 
7.6%
목 23
 
2.7%
Other values (71) 225
26.2%
Common
ValueCountFrequency (%)
280
41.3%
* 175
25.8%
- 55
 
8.1%
4 28
 
4.1%
1 26
 
3.8%
3 21
 
3.1%
5 21
 
3.1%
2 18
 
2.7%
7 16
 
2.4%
6 10
 
1.5%
Other values (5) 28
 
4.1%
Latin
ValueCountFrequency (%)
B 2
16.7%
e 2
16.7%
S 1
8.3%
K 1
8.3%
V 1
8.3%
c 1
8.3%
n 1
8.3%
A 1
8.3%
t 1
8.3%
r 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 860
55.5%
ASCII 690
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
280
40.6%
* 175
25.4%
- 55
 
8.0%
4 28
 
4.1%
1 26
 
3.8%
3 21
 
3.0%
5 21
 
3.0%
2 18
 
2.6%
7 16
 
2.3%
6 10
 
1.4%
Other values (15) 40
 
5.8%
Hangul
ValueCountFrequency (%)
중 72
 
8.4%
동 70
 
8.1%
시 69
 
8.0%
울 68
 
7.9%
구 67
 
7.8%
서 67
 
7.8%
별 67
 
7.8%
특 67
 
7.8%
랑 65
 
7.6%
목 23
 
2.7%
Other values (71) 225
26.2%

도로명주소
Text

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-05-11T14:28:51.747878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length39
Mean length30.522388
Min length23

Characters and Unicode

Total characters2045
Distinct characters124
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)97.0%

Sample

1st row서울특별시 중랑구 중랑천로**길 ** (면목동)
2nd row서울특별시 중랑구 신내역로 ***, 신내우디안프라자 ***호 (신내동)
3rd row서울특별시 중랑구 공릉로2길 7 (묵동)
4th row서울특별시 중랑구 면목로**길 ** (면목동)
5th row서울특별시 중랑구 동일로***길 **, 중화제일프라자상가 ***호 (중화동)
ValueCountFrequency (%)
서울특별시 67
17.0%
중랑구 65
16.5%
31
 
7.8%
면목동 23
 
5.8%
호 13
 
3.3%
신내동 12
 
3.0%
망우동 10
 
2.5%
용마산로 7
 
1.8%
층 7
 
1.8%
중화동 6
 
1.5%
Other values (120) 154
39.0%
2024-05-11T14:28:52.441473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
345
 
16.9%
* 182
 
8.9%
중 82
 
4.0%
동 81
 
4.0%
랑 73
 
3.6%
시 69
 
3.4%
울 68
 
3.3%
) 67
 
3.3%
( 67
 
3.3%
서 67
 
3.3%
Other values (114) 944
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1173
57.4%
Space Separator 345
 
16.9%
Other Punctuation 219
 
10.7%
Decimal Number 156
 
7.6%
Close Punctuation 67
 
3.3%
Open Punctuation 67
 
3.3%
Dash Punctuation 6
 
0.3%
Uppercase Letter 6
 
0.3%
Lowercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 82
 
7.0%
동 81
 
6.9%
랑 73
 
6.2%
시 69
 
5.9%
울 68
 
5.8%
서 67
 
5.7%
특 67
 
5.7%
구 67
 
5.7%
별 67
 
5.7%
로 65
 
5.5%
Other values (88) 467
39.8%
Decimal Number
ValueCountFrequency (%)
1 36
23.1%
3 26
16.7%
2 17
10.9%
4 15
9.6%
7 14
 
9.0%
0 13
 
8.3%
5 12
 
7.7%
8 8
 
5.1%
9 8
 
5.1%
6 7
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
A 1
16.7%
S 1
16.7%
K 1
16.7%
V 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
t 1
16.7%
c 1
16.7%
n 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 182
83.1%
, 37
 
16.9%
Space Separator
ValueCountFrequency (%)
345
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1173
57.4%
Common 860
42.1%
Latin 12
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 82
 
7.0%
동 81
 
6.9%
랑 73
 
6.2%
시 69
 
5.9%
울 68
 
5.8%
서 67
 
5.7%
특 67
 
5.7%
구 67
 
5.7%
별 67
 
5.7%
로 65
 
5.5%
Other values (88) 467
39.8%
Common
ValueCountFrequency (%)
345
40.1%
* 182
21.2%
) 67
 
7.8%
( 67
 
7.8%
, 37
 
4.3%
1 36
 
4.2%
3 26
 
3.0%
2 17
 
2.0%
4 15
 
1.7%
7 14
 
1.6%
Other values (6) 54
 
6.3%
Latin
ValueCountFrequency (%)
B 2
16.7%
e 2
16.7%
A 1
8.3%
t 1
8.3%
S 1
8.3%
K 1
8.3%
V 1
8.3%
c 1
8.3%
n 1
8.3%
r 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1173
57.4%
ASCII 872
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
345
39.6%
* 182
20.9%
) 67
 
7.7%
( 67
 
7.7%
, 37
 
4.2%
1 36
 
4.1%
3 26
 
3.0%
2 17
 
1.9%
4 15
 
1.7%
7 14
 
1.6%
Other values (16) 66
 
7.6%
Hangul
ValueCountFrequency (%)
중 82
 
7.0%
동 81
 
6.9%
랑 73
 
6.2%
시 69
 
5.9%
울 68
 
5.8%
서 67
 
5.7%
특 67
 
5.7%
구 67
 
5.7%
별 67
 
5.7%
로 65
 
5.5%
Other values (88) 467
39.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)82.1%
Missing39
Missing (%)58.2%
Infinite0
Infinite (%)0.0%
Mean2112.8929
Minimum2011
Maximum2262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T14:28:52.650249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2012.7
Q12056.5
median2108.5
Q32154
95-th percentile2246.05
Maximum2262
Range251
Interquartile range (IQR)97.5

Descriptive statistics

Standard deviation70.707189
Coefficient of variation (CV)0.033464635
Kurtosis-0.37337046
Mean2112.8929
Median Absolute Deviation (MAD)52.5
Skewness0.58066945
Sum59161
Variance4999.5066
MonotonicityNot monotonic
2024-05-11T14:28:52.832116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2118 2
 
3.0%
2163 2
 
3.0%
2114 2
 
3.0%
2052 2
 
3.0%
2055 2
 
3.0%
2012 1
 
1.5%
2011 1
 
1.5%
2103 1
 
1.5%
2147 1
 
1.5%
2072 1
 
1.5%
Other values (13) 13
 
19.4%
(Missing) 39
58.2%
ValueCountFrequency (%)
2011 1
1.5%
2012 1
1.5%
2014 1
1.5%
2052 2
3.0%
2055 2
3.0%
2057 1
1.5%
2068 1
1.5%
2071 1
1.5%
2072 1
1.5%
2076 1
1.5%
ValueCountFrequency (%)
2262 1
1.5%
2259 1
1.5%
2222 1
1.5%
2211 1
1.5%
2190 1
1.5%
2163 2
3.0%
2151 1
1.5%
2147 1
1.5%
2145 1
1.5%
2118 2
3.0%

사업장명
Text

Distinct63
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-05-11T14:28:53.162234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length7.0895522
Min length4

Characters and Unicode

Total characters475
Distinct characters115
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

Unique59 ?
Unique (%)88.1%

Sample

1st row삼원엔지니어링
2nd row(주)동명환경
3rd row진현기업
4th row성산ENG
5th row주식회사 에스지세콤
ValueCountFrequency (%)
주식회사 4
 
5.5%
삼조건설(주 2
 
2.7%
주)티에이치서비스 2
 
2.7%
제일방역 2
 
2.7%
주)새서울환경 2
 
2.7%
금화환경개발(주 1
 
1.4%
태강종합산업 1
 
1.4%
주)세종환경개발 1
 
1.4%
목우공영 1
 
1.4%
합자회사 1
 
1.4%
Other values (56) 56
76.7%
2024-05-11T14:28:53.688082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 34
 
7.2%
( 30
 
6.3%
) 30
 
6.3%
건 17
 
3.6%
설 16
 
3.4%
경 15
 
3.2%
환 13
 
2.7%
스 12
 
2.5%
합 11
 
2.3%
씨 11
 
2.3%
Other values (105) 286
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 403
84.8%
Open Punctuation 30
 
6.3%
Close Punctuation 30
 
6.3%
Space Separator 6
 
1.3%
Uppercase Letter 6
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 34
 
8.4%
건 17
 
4.2%
설 16
 
4.0%
경 15
 
3.7%
환 13
 
3.2%
스 12
 
3.0%
합 11
 
2.7%
씨 11
 
2.7%
개 10
 
2.5%
발 10
 
2.5%
Other values (98) 254
63.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
33.3%
E 2
33.3%
G 1
16.7%
C 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 403
84.8%
Common 66
 
13.9%
Latin 6
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 34
 
8.4%
건 17
 
4.2%
설 16
 
4.0%
경 15
 
3.7%
환 13
 
3.2%
스 12
 
3.0%
합 11
 
2.7%
씨 11
 
2.7%
개 10
 
2.5%
발 10
 
2.5%
Other values (98) 254
63.0%
Latin
ValueCountFrequency (%)
N 2
33.3%
E 2
33.3%
G 1
16.7%
C 1
16.7%
Common
ValueCountFrequency (%)
( 30
45.5%
) 30
45.5%
6
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 403
84.8%
ASCII 72
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 34
 
8.4%
건 17
 
4.2%
설 16
 
4.0%
경 15
 
3.7%
환 13
 
3.2%
스 12
 
3.0%
합 11
 
2.7%
씨 11
 
2.7%
개 10
 
2.5%
발 10
 
2.5%
Other values (98) 254
63.0%
ASCII
ValueCountFrequency (%)
( 30
41.7%
) 30
41.7%
6
 
8.3%
N 2
 
2.8%
E 2
 
2.8%
G 1
 
1.4%
C 1
 
1.4%

최종수정일자
Date

Distinct49
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2015-01-05 21:08:32
Maximum2024-04-22 16:47:17
2024-05-11T14:28:53.864572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:54.061354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
U
40 
I
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 40
59.7%
I 27
40.3%

Length

2024-05-11T14:28:54.265387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:54.429852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 40
59.7%
i 27
40.3%

데이터갱신일자
Date

Distinct30
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:04:00
2024-05-11T14:28:54.604759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:28:55.220856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

좌표정보(X)
Real number (ℝ)

Distinct61
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207746.01
Minimum204208.63
Maximum209856.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T14:28:55.555458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204208.63
5-th percentile206284.12
Q1206945.25
median207842.91
Q3208532.82
95-th percentile209200.1
Maximum209856.12
Range5647.4849
Interquartile range (IQR)1587.5698

Descriptive statistics

Standard deviation1060.5035
Coefficient of variation (CV)0.005104808
Kurtosis0.4281157
Mean207746.01
Median Absolute Deviation (MAD)829.53376
Skewness-0.5135338
Sum13918983
Variance1124667.7
MonotonicityNot monotonic
2024-05-11T14:28:55.806945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206383.897778215 3
 
4.5%
207655.164257973 2
 
3.0%
206945.245725484 2
 
3.0%
207666.878836451 2
 
3.0%
206270.61746178 2
 
3.0%
208862.410686506 1
 
1.5%
206612.899112652 1
 
1.5%
207307.253347922 1
 
1.5%
204208.631200867 1
 
1.5%
207013.37648833 1
 
1.5%
Other values (51) 51
76.1%
ValueCountFrequency (%)
204208.631200867 1
 
1.5%
205722.425433401 1
 
1.5%
206270.61746178 2
3.0%
206315.621494545 1
 
1.5%
206383.897778215 3
4.5%
206437.323189236 1
 
1.5%
206593.574165945 1
 
1.5%
206612.899112652 1
 
1.5%
206664.640940351 1
 
1.5%
206716.376335537 1
 
1.5%
ValueCountFrequency (%)
209856.1161416 1
1.5%
209335.711910788 1
1.5%
209270.245730294 1
1.5%
209235.719782146 1
1.5%
209116.981356523 1
1.5%
209103.13902339 1
1.5%
209085.926142332 1
1.5%
209056.062172999 1
1.5%
208968.92765531 1
1.5%
208889.676428819 1
1.5%

좌표정보(Y)
Real number (ℝ)

Distinct61
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455095.96
Minimum450967.56
Maximum457844.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-05-11T14:28:56.056818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450967.56
5-th percentile453053.42
Q1454118.7
median455052.9
Q3456011.87
95-th percentile457262.54
Maximum457844.35
Range6876.7851
Interquartile range (IQR)1893.1679

Descriptive statistics

Standard deviation1393.2386
Coefficient of variation (CV)0.0030614173
Kurtosis-0.083326412
Mean455095.96
Median Absolute Deviation (MAD)962.09577
Skewness-0.15697627
Sum30491429
Variance1941113.9
MonotonicityNot monotonic
2024-05-11T14:28:56.279060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454203.278747142 3
 
4.5%
453751.714298871 2
 
3.0%
455052.903411226 2
 
3.0%
455135.800669899 2
 
3.0%
454942.467371319 2
 
3.0%
455392.770453713 1
 
1.5%
456002.497569918 1
 
1.5%
454265.583954287 1
 
1.5%
457844.348010616 1
 
1.5%
455670.575592586 1
 
1.5%
Other values (51) 51
76.1%
ValueCountFrequency (%)
450967.562913172 1
1.5%
452693.585825091 1
1.5%
452730.154161445 1
1.5%
452991.036422095 1
1.5%
453198.991625791 1
1.5%
453369.591355604 1
1.5%
453402.61774068 1
1.5%
453516.182667283 1
1.5%
453594.477568923 1
1.5%
453751.714298871 2
3.0%
ValueCountFrequency (%)
457844.348010616 1
1.5%
457500.72629784 1
1.5%
457423.347761248 1
1.5%
457283.215342184 1
1.5%
457214.286373055 1
1.5%
457183.637796144 1
1.5%
457113.638411288 1
1.5%
457021.162035231 1
1.5%
456917.242032333 1
1.5%
456812.396836347 1
1.5%

업무구분
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
36 
31
31 

Length

Max length4
Median length4
Mean length3.0746269
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row31
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
53.7%
31 31
46.3%

Length

2024-05-11T14:28:56.535916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:56.702321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
53.7%
31 31
46.3%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

건축물연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
63 
0
 
4

Length

Max length4
Median length4
Mean length3.8208955
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
94.0%
0 4
 
6.0%

Length

2024-05-11T14:28:56.866045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:57.083452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
94.0%
0 4
 
6.0%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

휴업폐지사유
Text

MISSING 

Distinct19
Distinct (%)79.2%
Missing43
Missing (%)64.2%
Memory size668.0 B
2024-05-11T14:28:57.336401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length4
Mean length7.2916667
Min length2

Characters and Unicode

Total characters175
Distinct characters66
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

Unique14 ?
Unique (%)58.3%

Sample

1st row자진반납
2nd row자진폐업
3rd row자진폐업
4th row사업부진
5th row사업장 이전
ValueCountFrequency (%)
이전 4
 
9.1%
업무종료 2
 
4.5%
개인사정 2
 
4.5%
자진반납 2
 
4.5%
자진폐업 2
 
4.5%
영업부진 2
 
4.5%
사업장 2
 
4.5%
인한 2
 
4.5%
소재지 1
 
2.3%
강남구로 1
 
2.3%
Other values (24) 24
54.5%
2024-05-11T14:28:57.927403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
11.4%
업 16
 
9.1%
사 9
 
5.1%
진 8
 
4.6%
부 5
 
2.9%
인 5
 
2.9%
로 5
 
2.9%
전 5
 
2.9%
이 5
 
2.9%
소 4
 
2.3%
Other values (56) 93
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
82.3%
Space Separator 20
 
11.4%
Decimal Number 6
 
3.4%
Close Punctuation 2
 
1.1%
Open Punctuation 2
 
1.1%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 16
 
11.1%
사 9
 
6.2%
진 8
 
5.6%
부 5
 
3.5%
인 5
 
3.5%
로 5
 
3.5%
전 5
 
3.5%
이 5
 
3.5%
소 4
 
2.8%
개 4
 
2.8%
Other values (48) 78
54.2%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
6 1
 
16.7%
3 1
 
16.7%
2 1
 
16.7%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
82.3%
Common 31
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 16
 
11.1%
사 9
 
6.2%
진 8
 
5.6%
부 5
 
3.5%
인 5
 
3.5%
로 5
 
3.5%
전 5
 
3.5%
이 5
 
3.5%
소 4
 
2.8%
개 4
 
2.8%
Other values (48) 78
54.2%
Common
ValueCountFrequency (%)
20
64.5%
1 3
 
9.7%
) 2
 
6.5%
( 2
 
6.5%
6 1
 
3.2%
- 1
 
3.2%
3 1
 
3.2%
2 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
82.3%
ASCII 31
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
64.5%
1 3
 
9.7%
) 2
 
6.5%
( 2
 
6.5%
6 1
 
3.2%
- 1
 
3.2%
3 1
 
3.2%
2 1
 
3.2%
Hangul
ValueCountFrequency (%)
업 16
 
11.1%
사 9
 
6.2%
진 8
 
5.6%
부 5
 
3.5%
인 5
 
3.5%
로 5
 
3.5%
전 5
 
3.5%
이 5
 
3.5%
소 4
 
2.8%
개 4
 
2.8%
Other values (48) 78
54.2%

업무구분명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
36 
저수조청소업
31 

Length

Max length6
Median length4
Mean length4.9253731
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
53.7%
저수조청소업 31
46.3%

Length

2024-05-11T14:28:58.195442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:28:58.384719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
53.7%
저수조청소업 31
46.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
030600003060000311995000012009-03-04<NA>1영업/정상11정상<NA><NA><NA><NA>02-437-4386<NA><NA>서울특별시 중랑구 면목동 ***-**서울특별시 중랑구 중랑천로**길 ** (면목동)<NA>삼원엔지니어링2023-05-25 14:15:50U2022-12-04 22:07:00.0<NA>206437.323189454366.341191<NA><NA><NA><NA><NA><NA><NA><NA>
130600003060000311995000022009-09-30<NA>1영업/정상11정상<NA><NA><NA><NA>02-949-0371<NA><NA>서울특별시 중랑구 신내동 *** 신내우디안프라자 ***호서울특별시 중랑구 신내역로 ***, 신내우디안프라자 ***호 (신내동)2055(주)동명환경2023-07-14 10:25:30U2022-12-06 23:06:00.0<NA>209335.711911457500.726298<NA><NA><NA><NA><NA><NA><NA><NA>
2306000030600003119950000320060328<NA>1영업/정상11정상<NA><NA><NA><NA>02-949-2741<NA><NA>서울특별시 중랑구 묵동 174-4서울특별시 중랑구 공릉로2길 7 (묵동)<NA>진현기업2015-01-05 21:08:32I2018-08-31 23:59:59.0<NA>206859.215035456654.83118631<NA><NA><NA><NA><NA><NA>저수조청소업
330600003060000311995000042008-09-08<NA>1영업/정상11정상<NA><NA><NA><NA>02-438-2266<NA><NA>서울특별시 중랑구 면목동 ****서울특별시 중랑구 면목로**길 ** (면목동)<NA>성산ENG2023-07-14 10:35:25U2022-12-06 23:06:00.0<NA>207842.910245454420.526566<NA><NA><NA><NA><NA><NA><NA><NA>
430600003060000311995000051995-04-06<NA>1영업/정상11정상<NA><NA><NA><NA>02-434-1288<NA><NA>서울특별시 중랑구 중화동 ***-* 중화제일프라자상가 ***호서울특별시 중랑구 동일로***길 **, 중화제일프라자상가 ***호 (중화동)2014주식회사 에스지세콤2023-05-18 10:35:53U2022-12-04 22:00:00.0<NA>206788.048632455850.935639<NA><NA><NA><NA><NA><NA><NA><NA>
5306000030600003119970000120040218<NA>3폐업2폐업20170209<NA><NA><NA>02-438-0839<NA><NA>서울특별시 중랑구 망우동 360-11서울특별시 중랑구 용마산로116길 19 (망우동)<NA>대성이에스엠2017-02-10 09:11:02I2018-08-31 23:59:59.0<NA>208889.676429455247.69559631<NA><NA><NA><NA><NA>자진반납저수조청소업
6306000030600003119980000119981010<NA>1영업/정상11정상<NA><NA><NA><NA>02-332-0858<NA><NA>서울특별시 중랑구 상봉동 125-30서울특별시 중랑구 봉우재로 83 (상봉동)<NA>파이프아저씨2015-01-05 21:08:32I2018-08-31 23:59:59.0<NA>207200.069707454410.24982831<NA><NA><NA><NA><NA><NA>저수조청소업
7306000030600003120000000120000726<NA>1영업/정상11정상<NA><NA><NA><NA>02-987-0770<NA><NA>서울특별시 중랑구 망우동 572서울특별시 중랑구 봉우재로71길 18 (망우동)<NA>(주)신정종합개발2015-01-05 21:08:32I2018-08-31 23:59:59.0<NA>208658.077733454894.7902231<NA><NA><NA><NA><NA><NA>저수조청소업
8306000030600003120000000220080103<NA>3폐업2폐업<NA><NA><NA><NA>02-404-1944<NA><NA>서울특별시 중랑구 묵동 245-77서울특별시 중랑구 동일로151길 21 (묵동)<NA>송월종합건설2015-01-05 21:08:32I2018-08-31 23:59:59.0<NA>206716.376336456180.88019531<NA><NA><NA><NA><NA>자진폐업저수조청소업
9306000030600003120010000120070830<NA>1영업/정상11정상<NA><NA><NA><NA>02-495-6762<NA><NA>서울특별시 중랑구 묵동 244-157 4층서울특별시 중랑구 동일로 873 (묵동,4층)<NA>덕유건설2015-01-05 21:08:32I2018-08-31 23:59:59.0<NA>206805.226943456229.59292131<NA><NA><NA><NA><NA><NA>저수조청소업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
57306000030600003120180000420180713<NA>3폐업2폐업20200923<NA><NA><NA>02-999-2531<NA><NA>서울특별시 성동구 용답동 233-3서울특별시 성동구 천호대로 420, 5층 (용답동)2086(주)건양엔지니어링2020-09-28 10:16:36U2020-09-30 02:40:00.0<NA>205722.425433450967.56291331<NA><NA><NA><NA><NA>저수조 청소업 개설(성동구로 주소 이전)저수조청소업
5830600003060000312020000012020-01-17<NA>3폐업2폐업2024-01-15<NA><NA><NA>02-492-1183<NA><NA>서울특별시 중랑구 중화동 ***-* *층서울특별시 중랑구 중랑천로 ***-*, *층 (중화동)2114제일스마일종합관리2024-02-06 17:28:17U2023-12-02 00:08:00.0<NA>206270.617462454942.467371<NA><NA><NA><NA><NA><NA><NA><NA>
5930600003060000312020000022020-04-27<NA>1영업/정상11정상<NA><NA><NA><NA>02-955-0107<NA><NA>서울특별시 중랑구 신내동 *** 신아타운 ***호서울특별시 중랑구 봉화산로 ***, 신아타운 ***호 (신내동)2076(주)자이언2023-06-20 10:05:34U2022-12-05 22:02:00.0<NA>208295.099818456014.999181<NA><NA><NA><NA><NA><NA><NA><NA>
6030600003060000312020000032020-09-21<NA>1영업/정상11정상<NA><NA><NA><NA>02-2208-1881<NA><NA>서울특별시 중랑구 신내동 *** ***호서울특별시 중랑구 용마산로***나길 **, ***호 (신내동)2052삼조건설(주)2024-03-18 13:37:26U2023-12-02 22:00:00.0<NA>209056.062173457423.347761<NA><NA><NA><NA><NA><NA><NA><NA>
6130600003060000312021000012015-02-16<NA>1영업/정상11정상<NA><NA><NA><NA>02-464-1194<NA><NA>서울특별시 중랑구 면목동 ****-*서울특별시 중랑구 용마산로 ***, 지*층 비***호 (면목동)2259동현종합건설(주)2023-07-19 11:03:16U2022-12-06 22:01:00.0<NA>208075.550922452991.036422<NA><NA><NA><NA><NA><NA><NA><NA>
6230600003060000312021000022022-01-03<NA>1영업/정상11정상<NA><NA><NA><NA>02-493-9938<NA><NA>서울특별시 중랑구 망우동 ***-** 이안빌딩 ***호서울특별시 중랑구 용마산로***길 ***, 이안빌딩 ***호 (망우동)2163(주)태민씨앤씨2023-06-20 10:08:48U2022-12-05 22:02:00.0<NA>208242.880932455089.307019<NA><NA><NA><NA><NA><NA><NA><NA>
6330600003060000312023000012023-01-16<NA>1영업/정상11정상<NA><NA><NA><NA>02-433-0773<NA><NA>서울특별시 중랑구 망우동 *** 한일써너스빌리젠시*단지서울특별시 중랑구 용마산로***길 ***, 제*층 에스****호 (망우동, 한일써너스빌리젠시*단지)2163에스티액스이엔씨 주식회사2023-07-25 10:56:33U2022-12-06 22:07:00.0<NA>208185.587866455005.951408<NA><NA><NA><NA><NA><NA><NA><NA>
6430600003060000312023000022023-10-23<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 면목동 ***-** 지하*층서울특별시 중랑구 겸재로**가길 *, 지하*층 (면목동)2147태영종합환경2024-03-20 09:22:59U2023-12-02 22:02:00.0<NA>207152.801172453936.570288<NA><NA><NA><NA><NA><NA><NA><NA>
6530600003060000312024000012024-01-18<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 중랑구 중화동 ***-** *층서울특별시 중랑구 동일로***길 **, *층 (중화동)2103제일방역2024-01-23 09:53:32I2023-11-30 22:05:00.0<NA>206945.245725455052.903411<NA><NA><NA><NA><NA><NA><NA><NA>
6630600003060000312024000022024-01-15<NA>1영업/정상11정상<NA><NA><NA><NA>02-492-1183<NA><NA>서울특별시 중랑구 중화동 ***-* 대림효성 ***호서울특별시 중랑구 중랑천로 ***-*, 대림효성 ***호 (중화동)2114제일티엠에스 주식회사2024-02-15 10:20:17I2023-12-01 23:07:00.0<NA>206270.617462454942.467371<NA><NA><NA><NA><NA><NA><NA><NA>