Overview

Dataset statistics

Number of variables33
Number of observations51
Missing cells677
Missing cells (%)40.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory286.6 B

Variable types

Categorical9
Numeric4
DateTime4
Unsupported11
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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-19487/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건축물연면적 is highly imbalanced (86.1%)Imbalance
인허가취소일자 has 51 (100.0%) missing valuesMissing
폐업일자 has 24 (47.1%) missing valuesMissing
휴업시작일자 has 51 (100.0%) missing valuesMissing
휴업종료일자 has 51 (100.0%) missing valuesMissing
재개업일자 has 51 (100.0%) missing valuesMissing
전화번호 has 2 (3.9%) missing valuesMissing
소재지면적 has 51 (100.0%) missing valuesMissing
소재지우편번호 has 51 (100.0%) missing valuesMissing
지번주소 has 2 (3.9%) missing valuesMissing
도로명주소 has 21 (41.2%) missing valuesMissing
도로명우편번호 has 35 (68.6%) missing valuesMissing
업태구분명 has 51 (100.0%) missing valuesMissing
좌표정보(X) has 3 (5.9%) missing valuesMissing
좌표정보(Y) has 3 (5.9%) missing valuesMissing
건축물명 has 51 (100.0%) missing valuesMissing
건축물상태명 has 51 (100.0%) missing valuesMissing
청소대상시작일자 has 51 (100.0%) missing valuesMissing
청소대상종료일자 has 51 (100.0%) missing valuesMissing
휴업폐지사유 has 26 (51.0%) 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
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 05:43:32.665650
Analysis finished2024-05-11 05:43:33.202798
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
3100000
51 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3100000 51
100.0%

Length

2024-05-11T14:43:33.290682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:33.401487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 51
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1000003 × 1017
Minimum3.1000003 × 1017
Maximum3.1000003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T14:43:33.540599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1000003 × 1017
5-th percentile3.1000003 × 1017
Q13.1000003 × 1017
median3.1000003 × 1017
Q33.1000003 × 1017
95-th percentile3.1000003 × 1017
Maximum3.1000003 × 1017
Range2800001
Interquartile range (IQR)1200000

Descriptive statistics

Standard deviation802005.56
Coefficient of variation (CV)2.5871145 × 10-12
Kurtosis-0.60971061
Mean3.1000003 × 1017
Median Absolute Deviation (MAD)600000
Skewness-0.31786624
Sum-2.6367425 × 1018
Variance6.4321292 × 1011
MonotonicityStrictly increasing
2024-05-11T14:43:33.716267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
310000031199500001 1
 
2.0%
310000031199500002 1
 
2.0%
310000031201200001 1
 
2.0%
310000031201200002 1
 
2.0%
310000031201200003 1
 
2.0%
310000031201200004 1
 
2.0%
310000031201300001 1
 
2.0%
310000031201500001 1
 
2.0%
310000031201500002 1
 
2.0%
310000031201500003 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
310000031199500001 1
2.0%
310000031199500002 1
2.0%
310000031199500003 1
2.0%
310000031199600001 1
2.0%
310000031199600002 1
2.0%
310000031200000001 1
2.0%
310000031200100001 1
2.0%
310000031200400001 1
2.0%
310000031200400002 1
2.0%
310000031200400003 1
2.0%
ValueCountFrequency (%)
310000031202300002 1
2.0%
310000031202300001 1
2.0%
310000031202200003 1
2.0%
310000031202200002 1
2.0%
310000031202200001 1
2.0%
310000031202100004 1
2.0%
310000031202100003 1
2.0%
310000031202100002 1
2.0%
310000031202100001 1
2.0%
310000031201900003 1
2.0%

인허가일자
Date

Distinct47
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2004-04-16 00:00:00
Maximum2023-11-28 00:00:00
2024-05-11T14:43:33.902479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:34.117882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
3
27 
1
19 
4
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row3
4th row1
5th row4

Common Values

ValueCountFrequency (%)
3 27
52.9%
1 19
37.3%
4 5
 
9.8%

Length

2024-05-11T14:43:34.268197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:34.374185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 27
52.9%
1 19
37.3%
4 5
 
9.8%

영업상태명
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
폐업
27 
영업/정상
19 
취소/말소/만료/정지/중지
5 

Length

Max length14
Median length2
Mean length4.2941176
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row폐업
4th row영업/정상
5th row취소/말소/만료/정지/중지

Common Values

ValueCountFrequency (%)
폐업 27
52.9%
영업/정상 19
37.3%
취소/말소/만료/정지/중지 5
 
9.8%

Length

2024-05-11T14:43:34.550571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:34.735509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 27
52.9%
영업/정상 19
37.3%
취소/말소/만료/정지/중지 5
 
9.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
2
27 
11
19 
4
5 

Length

Max length2
Median length1
Mean length1.372549
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row11
3rd row2
4th row11
5th row4

Common Values

ValueCountFrequency (%)
2 27
52.9%
11 19
37.3%
4 5
 
9.8%

Length

2024-05-11T14:43:34.895136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:35.033505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 27
52.9%
11 19
37.3%
4 5
 
9.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
폐업
27 
정상
19 
폐쇄
5 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 27
52.9%
정상 19
37.3%
폐쇄 5
 
9.8%

Length

2024-05-11T14:43:35.223112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:35.367387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 27
52.9%
정상 19
37.3%
폐쇄 5
 
9.8%

폐업일자
Date

MISSING 

Distinct22
Distinct (%)81.5%
Missing24
Missing (%)47.1%
Memory size540.0 B
Minimum2008-07-15 00:00:00
Maximum2023-11-06 00:00:00
2024-05-11T14:43:35.604431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:35.778414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

전화번호
Text

MISSING 

Distinct49
Distinct (%)100.0%
Missing2
Missing (%)3.9%
Memory size540.0 B
2024-05-11T14:43:36.075191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length9.877551
Min length8

Characters and Unicode

Total characters484
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

Unique49 ?
Unique (%)100.0%

Sample

1st row952-1206
2nd row951-7821
3rd row952-2333
4th row937-8445
5th row931-3373
ValueCountFrequency (%)
3391-2472 1
 
2.0%
02-924-7022 1
 
2.0%
02-3296-0407 1
 
2.0%
02-953-7410 1
 
2.0%
02-936-5757 1
 
2.0%
6402-1119 1
 
2.0%
02-951-5220 1
 
2.0%
02-923-7508 1
 
2.0%
0222421046 1
 
2.0%
02-1599-9244 1
 
2.0%
Other values (39) 39
79.6%
2024-05-11T14:43:36.624873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 74
15.3%
9 65
13.4%
2 64
13.2%
0 60
12.4%
3 44
9.1%
7 35
7.2%
5 35
7.2%
4 33
6.8%
1 31
6.4%
6 27
 
5.6%
Other values (2) 16
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 408
84.3%
Dash Punctuation 74
 
15.3%
Close Punctuation 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 65
15.9%
2 64
15.7%
0 60
14.7%
3 44
10.8%
7 35
8.6%
5 35
8.6%
4 33
8.1%
1 31
7.6%
6 27
6.6%
8 14
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 484
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 74
15.3%
9 65
13.4%
2 64
13.2%
0 60
12.4%
3 44
9.1%
7 35
7.2%
5 35
7.2%
4 33
6.8%
1 31
6.4%
6 27
 
5.6%
Other values (2) 16
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 484
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 74
15.3%
9 65
13.4%
2 64
13.2%
0 60
12.4%
3 44
9.1%
7 35
7.2%
5 35
7.2%
4 33
6.8%
1 31
6.4%
6 27
 
5.6%
Other values (2) 16
 
3.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

지번주소
Text

MISSING 

Distinct48
Distinct (%)98.0%
Missing2
Missing (%)3.9%
Memory size540.0 B
2024-05-11T14:43:37.017718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length25.959184
Min length16

Characters and Unicode

Total characters1272
Distinct characters90
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

Unique47 ?
Unique (%)95.9%

Sample

1st row서울특별시 노원구 상계동 47-1
2nd row서울특별시 노원구 상계동 389-551
3rd row서울특별시 노원구 상계동 994
4th row서울특별시 노원구 상계동 6구역 51블럭 1롯트 대림프라자 204호
5th row서울특별시 노원구 상계동 95-51
ValueCountFrequency (%)
서울특별시 49
19.4%
노원구 49
19.4%
상계동 20
 
7.9%
공릉동 14
 
5.5%
11
 
4.3%
중계동 8
 
3.2%
월계동 5
 
2.0%
204호 4
 
1.6%
호 4
 
1.6%
대림프라자 2
 
0.8%
Other values (80) 87
34.4%
2024-05-11T14:43:37.647235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
235
18.5%
* 56
 
4.4%
1 55
 
4.3%
동 53
 
4.2%
원 53
 
4.2%
구 50
 
3.9%
노 50
 
3.9%
서 49
 
3.9%
울 49
 
3.9%
시 49
 
3.9%
Other values (80) 573
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 713
56.1%
Space Separator 235
 
18.5%
Decimal Number 219
 
17.2%
Other Punctuation 58
 
4.6%
Dash Punctuation 38
 
3.0%
Open Punctuation 4
 
0.3%
Close Punctuation 4
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 53
 
7.4%
원 53
 
7.4%
구 50
 
7.0%
노 50
 
7.0%
서 49
 
6.9%
울 49
 
6.9%
시 49
 
6.9%
별 49
 
6.9%
특 49
 
6.9%
계 37
 
5.2%
Other values (63) 225
31.6%
Decimal Number
ValueCountFrequency (%)
1 55
25.1%
0 29
13.2%
5 28
12.8%
4 27
12.3%
3 16
 
7.3%
7 15
 
6.8%
2 15
 
6.8%
9 14
 
6.4%
6 12
 
5.5%
8 8
 
3.7%
Other Punctuation
ValueCountFrequency (%)
* 56
96.6%
, 2
 
3.4%
Space Separator
ValueCountFrequency (%)
235
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 713
56.1%
Common 558
43.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 53
 
7.4%
원 53
 
7.4%
구 50
 
7.0%
노 50
 
7.0%
서 49
 
6.9%
울 49
 
6.9%
시 49
 
6.9%
별 49
 
6.9%
특 49
 
6.9%
계 37
 
5.2%
Other values (63) 225
31.6%
Common
ValueCountFrequency (%)
235
42.1%
* 56
 
10.0%
1 55
 
9.9%
- 38
 
6.8%
0 29
 
5.2%
5 28
 
5.0%
4 27
 
4.8%
3 16
 
2.9%
7 15
 
2.7%
2 15
 
2.7%
Other values (6) 44
 
7.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 713
56.1%
ASCII 559
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
235
42.0%
* 56
 
10.0%
1 55
 
9.8%
- 38
 
6.8%
0 29
 
5.2%
5 28
 
5.0%
4 27
 
4.8%
3 16
 
2.9%
7 15
 
2.7%
2 15
 
2.7%
Other values (7) 45
 
8.1%
Hangul
ValueCountFrequency (%)
동 53
 
7.4%
원 53
 
7.4%
구 50
 
7.0%
노 50
 
7.0%
서 49
 
6.9%
울 49
 
6.9%
시 49
 
6.9%
별 49
 
6.9%
특 49
 
6.9%
계 37
 
5.2%
Other values (63) 225
31.6%

도로명주소
Text

MISSING 

Distinct28
Distinct (%)93.3%
Missing21
Missing (%)41.2%
Memory size540.0 B
2024-05-11T14:43:38.026743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length37
Mean length33.966667
Min length25

Characters and Unicode

Total characters1019
Distinct characters82
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row서울특별시 노원구 상계로17길 10 (상계동)
2nd row서울특별시 노원구 동일로242라길 15 (상계동)
3rd row서울특별시 노원구 노원로1길 9, 402호 (공릉동, 해중빌딩)
4th row서울특별시 노원구 덕릉로95가길 37 (상계동, 지하)
5th row서울특별시 노원구 동일로173가길 81 (공릉동)
ValueCountFrequency (%)
서울특별시 30
 
15.5%
노원구 30
 
15.5%
11
 
5.7%
공릉동 10
 
5.2%
호 9
 
4.6%
상계동 9
 
4.6%
중계동 5
 
2.6%
월계동 4
 
2.1%
한글비석로 3
 
1.5%
덕릉로**길 3
 
1.5%
Other values (67) 80
41.2%
2024-05-11T14:43:38.580740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
 
16.1%
* 76
 
7.5%
동 45
 
4.4%
원 35
 
3.4%
노 32
 
3.1%
서 30
 
2.9%
) 30
 
2.9%
( 30
 
2.9%
1 30
 
2.9%
로 30
 
2.9%
Other values (72) 517
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 567
55.6%
Space Separator 164
 
16.1%
Decimal Number 116
 
11.4%
Other Punctuation 104
 
10.2%
Close Punctuation 30
 
2.9%
Open Punctuation 30
 
2.9%
Dash Punctuation 8
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 45
 
7.9%
원 35
 
6.2%
노 32
 
5.6%
서 30
 
5.3%
로 30
 
5.3%
울 30
 
5.3%
구 30
 
5.3%
시 30
 
5.3%
별 30
 
5.3%
특 30
 
5.3%
Other values (56) 245
43.2%
Decimal Number
ValueCountFrequency (%)
1 30
25.9%
4 14
12.1%
7 13
11.2%
3 11
 
9.5%
2 9
 
7.8%
9 9
 
7.8%
8 8
 
6.9%
0 8
 
6.9%
6 8
 
6.9%
5 6
 
5.2%
Other Punctuation
ValueCountFrequency (%)
* 76
73.1%
, 28
 
26.9%
Space Separator
ValueCountFrequency (%)
164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 567
55.6%
Common 452
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 45
 
7.9%
원 35
 
6.2%
노 32
 
5.6%
서 30
 
5.3%
로 30
 
5.3%
울 30
 
5.3%
구 30
 
5.3%
시 30
 
5.3%
별 30
 
5.3%
특 30
 
5.3%
Other values (56) 245
43.2%
Common
ValueCountFrequency (%)
164
36.3%
* 76
16.8%
) 30
 
6.6%
( 30
 
6.6%
1 30
 
6.6%
, 28
 
6.2%
4 14
 
3.1%
7 13
 
2.9%
3 11
 
2.4%
2 9
 
2.0%
Other values (6) 47
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 567
55.6%
ASCII 452
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
36.3%
* 76
16.8%
) 30
 
6.6%
( 30
 
6.6%
1 30
 
6.6%
, 28
 
6.2%
4 14
 
3.1%
7 13
 
2.9%
3 11
 
2.4%
2 9
 
2.0%
Other values (6) 47
 
10.4%
Hangul
ValueCountFrequency (%)
동 45
 
7.9%
원 35
 
6.2%
노 32
 
5.6%
서 30
 
5.3%
로 30
 
5.3%
울 30
 
5.3%
구 30
 
5.3%
시 30
 
5.3%
별 30
 
5.3%
특 30
 
5.3%
Other values (56) 245
43.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing35
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean1784.75
Minimum1610
Maximum1871
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T14:43:38.824229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1610
5-th percentile1637
Q11722.25
median1809
Q31857.25
95-th percentile1871
Maximum1871
Range261
Interquartile range (IQR)135

Descriptive statistics

Standard deviation85.320181
Coefficient of variation (CV)0.047805116
Kurtosis-0.62071917
Mean1784.75
Median Absolute Deviation (MAD)61
Skewness-0.76974252
Sum28556
Variance7279.5333
MonotonicityNot monotonic
2024-05-11T14:43:39.017095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1809 2
 
3.9%
1871 2
 
3.9%
1834 1
 
2.0%
1729 1
 
2.0%
1857 1
 
2.0%
1858 1
 
2.0%
1610 1
 
2.0%
1717 1
 
2.0%
1699 1
 
2.0%
1646 1
 
2.0%
Other values (4) 4
 
7.8%
(Missing) 35
68.6%
ValueCountFrequency (%)
1610 1
2.0%
1646 1
2.0%
1699 1
2.0%
1717 1
2.0%
1724 1
2.0%
1729 1
2.0%
1804 1
2.0%
1809 2
3.9%
1834 1
2.0%
1849 1
2.0%
ValueCountFrequency (%)
1871 2
3.9%
1869 1
2.0%
1858 1
2.0%
1857 1
2.0%
1849 1
2.0%
1834 1
2.0%
1809 2
3.9%
1804 1
2.0%
1729 1
2.0%
1724 1
2.0%

사업장명
Text

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T14:43:39.280892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.5098039
Min length2

Characters and Unicode

Total characters383
Distinct characters123
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

Unique47 ?
Unique (%)92.2%

Sample

1st row표석산업(주)
2nd row고우개발
3rd row공전토건(주)
4th row가나안환경
5th row태영환경
ValueCountFrequency (%)
주식회사 5
 
8.9%
헤븐 2
 
3.6%
주)토마토세븐 2
 
3.6%
대한도시산업개발(주 1
 
1.8%
주)대주지에스 1
 
1.8%
주)다은개발 1
 
1.8%
뿌리엔지니어링(주 1
 
1.8%
금아환경개발(주 1
 
1.8%
주)친환경넘버원 1
 
1.8%
에스에이치테임자주종합관리(주 1
 
1.8%
Other values (40) 40
71.4%
2024-05-11T14:43:39.718507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 36
 
9.4%
( 30
 
7.8%
) 30
 
7.8%
경 12
 
3.1%
환 10
 
2.6%
스 9
 
2.3%
발 8
 
2.1%
개 8
 
2.1%
지 7
 
1.8%
한 6
 
1.6%
Other values (113) 227
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
80.9%
Open Punctuation 30
 
7.8%
Close Punctuation 30
 
7.8%
Uppercase Letter 8
 
2.1%
Space Separator 5
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 36
 
11.6%
경 12
 
3.9%
환 10
 
3.2%
스 9
 
2.9%
발 8
 
2.6%
개 8
 
2.6%
지 7
 
2.3%
한 6
 
1.9%
합 6
 
1.9%
사 6
 
1.9%
Other values (102) 202
65.2%
Uppercase Letter
ValueCountFrequency (%)
S 1
12.5%
D 1
12.5%
O 1
12.5%
B 1
12.5%
I 1
12.5%
T 1
12.5%
Z 1
12.5%
R 1
12.5%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 310
80.9%
Common 65
 
17.0%
Latin 8
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 36
 
11.6%
경 12
 
3.9%
환 10
 
3.2%
스 9
 
2.9%
발 8
 
2.6%
개 8
 
2.6%
지 7
 
2.3%
한 6
 
1.9%
합 6
 
1.9%
사 6
 
1.9%
Other values (102) 202
65.2%
Latin
ValueCountFrequency (%)
S 1
12.5%
D 1
12.5%
O 1
12.5%
B 1
12.5%
I 1
12.5%
T 1
12.5%
Z 1
12.5%
R 1
12.5%
Common
ValueCountFrequency (%)
( 30
46.2%
) 30
46.2%
5
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 310
80.9%
ASCII 73
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 36
 
11.6%
경 12
 
3.9%
환 10
 
3.2%
스 9
 
2.9%
발 8
 
2.6%
개 8
 
2.6%
지 7
 
2.3%
한 6
 
1.9%
합 6
 
1.9%
사 6
 
1.9%
Other values (102) 202
65.2%
ASCII
ValueCountFrequency (%)
( 30
41.1%
) 30
41.1%
5
 
6.8%
S 1
 
1.4%
D 1
 
1.4%
O 1
 
1.4%
B 1
 
1.4%
I 1
 
1.4%
T 1
 
1.4%
Z 1
 
1.4%

최종수정일자
Date

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2015-01-05 21:07:18
Maximum2023-11-29 09:07:32
2024-05-11T14:43:39.849262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:39.977458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
I
29 
U
22 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 29
56.9%
U 22
43.1%

Length

2024-05-11T14:43:40.112682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:40.223856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 29
56.9%
u 22
43.1%

데이터갱신일자
Date

Distinct24
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-07 21:00:00
2024-05-11T14:43:40.330135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:43:40.475272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)93.8%
Missing3
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean206165.1
Minimum203794.8
Maximum207749.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T14:43:40.625852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum203794.8
5-th percentile204474.32
Q1205644.09
median206403.95
Q3206888.37
95-th percentile207308
Maximum207749.31
Range3954.5092
Interquartile range (IQR)1244.2795

Descriptive statistics

Standard deviation1032.0435
Coefficient of variation (CV)0.0050059078
Kurtosis-0.31135359
Mean206165.1
Median Absolute Deviation (MAD)571.74256
Skewness-0.86265663
Sum9895925
Variance1065113.8
MonotonicityNot monotonic
2024-05-11T14:43:40.786584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
206304.070088303 2
 
3.9%
203794.798378498 2
 
3.9%
206383.969464937 2
 
3.9%
205978.185783794 1
 
2.0%
206356.052509483 1
 
2.0%
206415.545086691 1
 
2.0%
207301.617322514 1
 
2.0%
206392.345509454 1
 
2.0%
206425.609214972 1
 
2.0%
205738.940174176 1
 
2.0%
Other values (35) 35
68.6%
(Missing) 3
 
5.9%
ValueCountFrequency (%)
203794.798378498 2
3.9%
204470.586550382 1
2.0%
204481.248686527 1
2.0%
204494.823036453 1
2.0%
204518.141437282 1
2.0%
204550.657100774 1
2.0%
204632.929600808 1
2.0%
204674.398854671 1
2.0%
204999.146788879 1
2.0%
205050.277652595 1
2.0%
ValueCountFrequency (%)
207749.307579592 1
2.0%
207557.422364404 1
2.0%
207311.442536626 1
2.0%
207301.617322514 1
2.0%
207238.68614098 1
2.0%
207142.623584778 1
2.0%
207105.241612335 1
2.0%
207039.860837561 1
2.0%
207021.829716008 1
2.0%
207008.092994104 1
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)93.8%
Missing3
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean460670.85
Minimum457100.48
Maximum463940.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T14:43:41.000453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457100.48
5-th percentile457551.14
Q1458033.6
median461540.88
Q3462918.03
95-th percentile463646.16
Maximum463940.98
Range6840.4948
Interquartile range (IQR)4884.4374

Descriptive statistics

Standard deviation2373.4688
Coefficient of variation (CV)0.0051522009
Kurtosis-1.6566787
Mean460670.85
Median Absolute Deviation (MAD)1960.0335
Skewness-0.16550264
Sum22112201
Variance5633354.1
MonotonicityNot monotonic
2024-05-11T14:43:41.178914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
458076.111138524 2
 
3.9%
458913.816623925 2
 
3.9%
459273.755435879 2
 
3.9%
462367.006783272 1
 
2.0%
462123.008334776 1
 
2.0%
461546.032265974 1
 
2.0%
460170.798782455 1
 
2.0%
457756.454547015 1
 
2.0%
457754.046148517 1
 
2.0%
457100.481909569 1
 
2.0%
Other values (35) 35
68.6%
(Missing) 3
 
5.9%
ValueCountFrequency (%)
457100.481909569 1
2.0%
457477.154924921 1
2.0%
457535.589149023 1
2.0%
457580.026243059 1
2.0%
457634.616674864 1
2.0%
457640.840194694 1
2.0%
457686.083686633 1
2.0%
457731.027183726 1
2.0%
457754.046148517 1
2.0%
457756.454547015 1
2.0%
ValueCountFrequency (%)
463940.976727043 1
2.0%
463748.940840095 1
2.0%
463706.959505603 1
2.0%
463533.259200639 1
2.0%
463468.566053347 1
2.0%
463435.502714841 1
2.0%
463431.48031786 1
2.0%
463369.008536399 1
2.0%
463253.973796138 1
2.0%
463163.405374887 1
2.0%

업무구분
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
31
37 
<NA>
14 

Length

Max length4
Median length2
Mean length2.5490196
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row31
2nd row31
3rd row31
4th row31
5th row31

Common Values

ValueCountFrequency (%)
31 37
72.5%
<NA> 14
 
27.5%

Length

2024-05-11T14:43:41.360346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:41.523431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 37
72.5%
na 14
 
27.5%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

건축물연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
50 
0
 
1

Length

Max length4
Median length4
Mean length3.9411765
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
98.0%
0 1
 
2.0%

Length

2024-05-11T14:43:41.638972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:41.750610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
98.0%
0 1
 
2.0%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

휴업폐지사유
Text

MISSING 

Distinct15
Distinct (%)60.0%
Missing26
Missing (%)51.0%
Memory size540.0 B
2024-05-11T14:43:41.908946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length15
Mean length10.24
Min length4

Characters and Unicode

Total characters256
Distinct characters66
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)48.0%

Sample

1st row자진폐업
2nd row「수도법」제34조의 규정을 위반하여 저수조청소업을 무단폐업하여 신고취소 처분
3rd row영업장소이전
4th row사업부진
5th row본점으로 이전
ValueCountFrequency (%)
영업부진 8
14.3%
이전 7
 
12.5%
규정을 3
 
5.4%
위반하여 3
 
5.4%
저수조청소업을 3
 
5.4%
무단폐업하여 3
 
5.4%
신고취소 3
 
5.4%
처분 3
 
5.4%
「수도법」제34조의 3
 
5.4%
영업장소이전 2
 
3.6%
Other values (18) 18
32.1%
2024-05-11T14:43:42.623223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
12.1%
업 21
 
8.2%
이 11
 
4.3%
영 10
 
3.9%
부 10
 
3.9%
진 10
 
3.9%
전 10
 
3.9%
소 9
 
3.5%
수 6
 
2.3%
여 6
 
2.3%
Other values (56) 132
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213
83.2%
Space Separator 31
 
12.1%
Decimal Number 6
 
2.3%
Open Punctuation 3
 
1.2%
Close Punctuation 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 21
 
9.9%
이 11
 
5.2%
영 10
 
4.7%
부 10
 
4.7%
진 10
 
4.7%
전 10
 
4.7%
소 9
 
4.2%
수 6
 
2.8%
여 6
 
2.8%
조 6
 
2.8%
Other values (51) 114
53.5%
Decimal Number
ValueCountFrequency (%)
3 3
50.0%
4 3
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
「 3
100.0%
Close Punctuation
ValueCountFrequency (%)
」 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
83.2%
Common 43
 
16.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 21
 
9.9%
이 11
 
5.2%
영 10
 
4.7%
부 10
 
4.7%
진 10
 
4.7%
전 10
 
4.7%
소 9
 
4.2%
수 6
 
2.8%
여 6
 
2.8%
조 6
 
2.8%
Other values (51) 114
53.5%
Common
ValueCountFrequency (%)
31
72.1%
「 3
 
7.0%
」 3
 
7.0%
3 3
 
7.0%
4 3
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213
83.2%
ASCII 37
 
14.5%
None 6
 
2.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
83.8%
3 3
 
8.1%
4 3
 
8.1%
Hangul
ValueCountFrequency (%)
업 21
 
9.9%
이 11
 
5.2%
영 10
 
4.7%
부 10
 
4.7%
진 10
 
4.7%
전 10
 
4.7%
소 9
 
4.2%
수 6
 
2.8%
여 6
 
2.8%
조 6
 
2.8%
Other values (51) 114
53.5%
None
ValueCountFrequency (%)
「 3
50.0%
」 3
50.0%

업무구분명
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
저수조청소업
37 
<NA>
14 

Length

Max length6
Median length6
Mean length5.4509804
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 37
72.5%
<NA> 14
 
27.5%

Length

2024-05-11T14:43:42.840914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:43:42.991656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 37
72.5%
na 14
 
27.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
0310000031000003119950000120080317<NA>1영업/정상11정상<NA><NA><NA><NA>952-1206<NA><NA>서울특별시 노원구 상계동 47-1<NA><NA>표석산업(주)2015-01-05 21:07:18I2018-08-31 23:59:59.0<NA>207311.442537463369.00853631<NA><NA><NA><NA><NA><NA>저수조청소업
1310000031000003119950000220150901<NA>1영업/정상11정상<NA><NA><NA><NA>951-7821<NA><NA>서울특별시 노원구 상계동 389-551서울특별시 노원구 상계로17길 10 (상계동)<NA>고우개발2015-09-01 17:04:20I2018-08-31 23:59:59.0<NA>206014.537337462098.54582931<NA><NA><NA><NA><NA><NA>저수조청소업
2310000031000003119950000320080317<NA>3폐업2폐업<NA><NA><NA><NA>952-2333<NA><NA>서울특별시 노원구 상계동 994<NA><NA>공전토건(주)2015-01-05 21:07:18I2018-08-31 23:59:59.0<NA>205050.277653463253.97379631<NA><NA><NA><NA><NA>자진폐업저수조청소업
3310000031000003119960000120080317<NA>1영업/정상11정상<NA><NA><NA><NA>937-8445<NA><NA>서울특별시 노원구 상계동 6구역 51블럭 1롯트 대림프라자 204호<NA><NA>가나안환경2015-01-05 21:07:18I2018-08-31 23:59:59.0<NA><NA><NA>31<NA><NA><NA><NA><NA><NA>저수조청소업
4310000031000003119960000220040416<NA>4취소/말소/만료/정지/중지4폐쇄20210608<NA><NA><NA>931-3373<NA><NA>서울특별시 노원구 상계동 95-51<NA><NA>태영환경2021-06-07 15:38:12U2021-06-09 02:40:00.0<NA>206864.031316462563.18554731<NA><NA><NA><NA><NA>「수도법」제34조의 규정을 위반하여 저수조청소업을 무단폐업하여 신고취소 처분저수조청소업
5310000031000003120000000120080317<NA>1영업/정상11정상<NA><NA><NA><NA>936-4246<NA><NA>서울특별시 노원구 중계동 579-1<NA><NA>(주)성일빌딩메니지먼트2015-01-05 21:07:18I2018-08-31 23:59:59.0<NA>207142.623585460807.21253131<NA><NA><NA><NA><NA><NA>저수조청소업
6310000031000003120010000120050416<NA>3폐업2폐업<NA><NA><NA><NA>951-3024<NA><NA>서울특별시 노원구 상계동 1110-6<NA><NA>신광환경2015-01-05 21:07:18I2018-08-31 23:59:59.0<NA>204674.398855463940.97672731<NA><NA><NA><NA><NA>영업장소이전저수조청소업
7310000031000003120040000120071228<NA>3폐업2폐업<NA><NA><NA><NA>973-3518<NA><NA>서울특별시 노원구 공릉동 517-30 3층<NA><NA>동진스마일(주)2015-01-05 21:07:18I2018-08-31 23:59:59.0<NA>206481.688191457906.05649231<NA><NA><NA><NA><NA>사업부진저수조청소업
8310000031000003120040000220080103<NA>3폐업2폐업<NA><NA><NA><NA>951-9936<NA><NA>서울특별시 노원구 상계동 1054-5 (3층)<NA><NA>(주)한국티에스2015-01-05 21:07:18I2018-08-31 23:59:59.0<NA><NA><NA>31<NA><NA><NA><NA><NA>본점으로 이전저수조청소업
9310000031000003120040000320080317<NA>4취소/말소/만료/정지/중지4폐쇄20210608<NA><NA><NA>02)987-8274<NA><NA>서울특별시 노원구 상계동 1285 불암동아아파트상가224호<NA><NA>진명종합시스템(주)2021-06-07 15:37:47U2021-06-09 02:40:00.0<NA>206961.39023462732.18472231<NA><NA><NA><NA><NA>「수도법」제34조의 규정을 위반하여 저수조청소업을 무단폐업하여 신고취소 처분저수조청소업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
41310000031000003120190000320191223<NA>1영업/정상11정상<NA><NA><NA><NA>02-936-2100<NA><NA>서울특별시 노원구 중계동 157-33 4층서울특별시 노원구 한글비석로 369, 4층 (중계동)1699(주)한배엔지니어링2019-12-23 14:42:43I2019-12-25 00:23:26.0<NA>206460.340838461782.71903431<NA><NA><NA><NA><NA><NA>저수조청소업
4231000003100000312021000012021-01-11<NA>1영업/정상11정상<NA><NA><NA><NA>02-797-8204<NA><NA>서울특별시 노원구 상계동 ***-* 대림프라자 ***호서울특별시 노원구 덕릉로 ***, 대림프라자 ***호 (상계동)1646(주)은성환경2023-11-16 17:40:56U2022-10-31 23:08:00.0<NA>206989.98549462914.032631<NA><NA><NA><NA><NA><NA><NA><NA>
4331000003100000312021000022021-12-16<NA>1영업/정상11정상<NA><NA><NA><NA>02-971-4391<NA><NA>서울특별시 노원구 공릉동 *** 효성아파트서울특별시 노원구 화랑로 ***, 제상가동 *층 ***호 (공릉동, 효성아파트)1804가람솔2023-05-31 11:15:27U2022-12-06 00:02:00.0<NA>207749.30758457640.840195<NA><NA><NA><NA><NA><NA><NA><NA>
44310000031000003120210000320211217<NA>1영업/정상11정상<NA><NA><NA><NA>02-943-3062<NA><NA>서울특별시 노원구 월계동 774 월계청백1단지아파트서울특별시 노원구 초안산로 89, 상가동 207호 (월계동, 월계청백1단지아파트)1869SD종합탱크환경2021-12-17 11:02:38I2021-12-19 00:22:42.0<NA>204481.248687459249.51806931<NA>0<NA><NA><NA><NA>저수조청소업
4531000003100000312021000042022-01-03<NA>3폐업2폐업2023-11-06<NA><NA><NA>02-938-9545<NA><NA>서울특별시 노원구 하계동 ***-* 세원 빌딩서울특별시 노원구 공릉로**가길 *, *층 (하계동, 세원 빌딩)1809(주)세원종합관리2023-11-07 13:25:35U2022-11-01 00:09:00.0<NA>206383.969465459273.755436<NA><NA><NA><NA><NA><NA><NA><NA>
4631000003100000312022000012022-01-14<NA>1영업/정상11정상<NA><NA><NA><NA>02-396-9200<NA><NA>서울특별시 노원구 월계동 ***-*서울특별시 노원구 덕릉로**길 ***, ***호 (월계동)1871대한도시산업개발(주)2023-03-10 16:00:02U2022-12-02 23:02:00.0<NA>203794.798378458913.816624<NA><NA><NA><NA><NA><NA><NA><NA>
4731000003100000312022000022022-02-16<NA>1영업/정상11정상<NA><NA><NA><NA>02-903-8655<NA><NA>서울특별시 노원구 월계동 ***-*서울특별시 노원구 덕릉로**길 ***, ***호 (월계동)1871현영이엔지 주식회사2023-02-28 09:05:38U2022-12-03 00:03:00.0<NA>203794.798378458913.816624<NA><NA><NA><NA><NA><NA><NA><NA>
48310000031000003120220000320221012<NA>1영업/정상11정상<NA><NA><NA><NA>02-956-5493<NA><NA>서울특별시 노원구 중계동 84-7 현대프라자서울특별시 노원구 중계로 162-11, 현대프라자 415호 (중계동)1724한솔환경2022-10-12 16:58:02I2021-10-30 23:04:00.0<NA>207105.241612460826.476803<NA><NA><NA><NA><NA><NA><NA><NA>
4931000003100000312023000012023-08-28<NA>1영업/정상11정상<NA><NA><NA><NA>02-936-9545<NA><NA>서울특별시 노원구 하계동 ***-* 세원 빌딩 *층서울특별시 노원구 공릉로**가길 *, *층 (하계동, 세원 빌딩)1809(주)대주지에스2023-08-28 15:59:39I2022-12-07 21:00:00.0<NA>206383.969465459273.755436<NA><NA><NA><NA><NA><NA><NA><NA>
5031000003100000312023000022023-11-28<NA>1영업/정상11정상<NA><NA><NA><NA>02-975-3332<NA><NA>서울특별시 노원구 공릉동 *** 노원사회적경제지원센터 사회적경제기업사무실 ***호서울특별시 노원구 동일로***길 **, 노원사회적경제지원센터 사회적경제기업사무실 ***호 (공릉동)1849섬밭클린협동조합2023-11-29 09:07:32I2022-11-02 00:01:00.0<NA>206708.878295457477.154925<NA><NA><NA><NA><NA><NA><NA><NA>