Overview

Dataset statistics

Number of variables33
Number of observations53
Missing cells709
Missing cells (%)40.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.9 KiB
Average record size in memory287.5 B

Variable types

Categorical9
Numeric5
DateTime3
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
Author은평구
URLhttps://data.seoul.go.kr/dataList/OA-19488/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
업무구분 is highly imbalanced (54.9%)Imbalance
업무구분명 is highly imbalanced (54.9%)Imbalance
인허가취소일자 has 53 (100.0%) missing valuesMissing
폐업일자 has 36 (67.9%) missing valuesMissing
휴업시작일자 has 53 (100.0%) missing valuesMissing
휴업종료일자 has 53 (100.0%) missing valuesMissing
재개업일자 has 53 (100.0%) missing valuesMissing
전화번호 has 7 (13.2%) missing valuesMissing
소재지면적 has 53 (100.0%) missing valuesMissing
소재지우편번호 has 53 (100.0%) missing valuesMissing
지번주소 has 1 (1.9%) missing valuesMissing
도로명주소 has 4 (7.5%) missing valuesMissing
도로명우편번호 has 44 (83.0%) missing valuesMissing
업태구분명 has 53 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.9%) missing valuesMissing
좌표정보(Y) has 1 (1.9%) missing valuesMissing
건축물명 has 53 (100.0%) missing valuesMissing
건축물상태명 has 53 (100.0%) missing valuesMissing
청소대상시작일자 has 53 (100.0%) missing valuesMissing
청소대상종료일자 has 53 (100.0%) missing valuesMissing
휴업폐지사유 has 32 (60.4%) 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 00:45:01.251230
Analysis finished2024-05-11 00:45:02.271355
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size556.0 B
3110000
53 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3110000
2nd row3110000
3rd row3110000
4th row3110000
5th row3110000

Common Values

ValueCountFrequency (%)
3110000 53
100.0%

Length

2024-05-11T00:45:02.467494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:02.993683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3110000 53
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1100003 × 1017
Minimum3.1100003 × 1017
Maximum3.1100003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-11T00:45:03.656756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1100003 × 1017
5-th percentile3.1100003 × 1017
Q13.1100003 × 1017
median3.1100003 × 1017
Q33.1100003 × 1017
95-th percentile3.1100003 × 1017
Maximum3.1100003 × 1017
Range1900000
Interquartile range (IQR)1100032

Descriptive statistics

Standard deviation586850.24
Coefficient of variation (CV)1.8869781 × 10-12
Kurtosis-1.1655063
Mean3.1100003 × 1017
Median Absolute Deviation (MAD)499968
Skewness0.46870812
Sum-1.9637424 × 1018
Variance3.443932 × 1011
MonotonicityStrictly increasing
2024-05-11T00:45:04.272852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
311000031200100001 1
 
1.9%
311000031201300003 1
 
1.9%
311000031200700003 1
 
1.9%
311000031200700004 1
 
1.9%
311000031200800001 1
 
1.9%
311000031200900001 1
 
1.9%
311000031200900002 1
 
1.9%
311000031200900003 1
 
1.9%
311000031201100001 1
 
1.9%
311000031201200001 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
311000031200100001 1
1.9%
311000031200100002 1
1.9%
311000031200100003 1
1.9%
311000031200100004 1
1.9%
311000031200100005 1
1.9%
311000031200100006 1
1.9%
311000031200100007 1
1.9%
311000031200100008 1
1.9%
311000031200100010 1
1.9%
311000031200200001 1
1.9%
ValueCountFrequency (%)
311000031202000001 1
1.9%
311000031201800002 1
1.9%
311000031201800001 1
1.9%
311000031201600005 1
1.9%
311000031201600004 1
1.9%
311000031201600003 1
1.9%
311000031201600002 1
1.9%
311000031201600001 1
1.9%
311000031201500002 1
1.9%
311000031201500001 1
1.9%

인허가일자
Date

Distinct50
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum1995-10-07 00:00:00
Maximum2023-07-10 00:00:00
2024-05-11T00:45:04.992932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:45:05.622183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
1
30 
3
21 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
56.6%
3 21
39.6%
4 2
 
3.8%

Length

2024-05-11T00:45:06.129299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:06.491604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
56.6%
3 21
39.6%
4 2
 
3.8%

영업상태명
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
영업/정상
30 
폐업
21 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length5
Mean length4.1509434
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 30
56.6%
폐업 21
39.6%
취소/말소/만료/정지/중지 2
 
3.8%

Length

2024-05-11T00:45:06.962353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:07.418115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 30
56.6%
폐업 21
39.6%
취소/말소/만료/정지/중지 2
 
3.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
11
30 
2
21 
4
 
2

Length

Max length2
Median length2
Mean length1.5660377
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
11 30
56.6%
2 21
39.6%
4 2
 
3.8%

Length

2024-05-11T00:45:08.003523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:08.463905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 30
56.6%
2 21
39.6%
4 2
 
3.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size556.0 B
정상
30 
폐업
21 
폐쇄
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 30
56.6%
폐업 21
39.6%
폐쇄 2
 
3.8%

Length

2024-05-11T00:45:08.940184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:09.261309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 30
56.6%
폐업 21
39.6%
폐쇄 2
 
3.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing36
Missing (%)67.9%
Infinite0
Infinite (%)0.0%
Mean20156472
Minimum20090325
Maximum20220217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-11T00:45:09.953577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20090325
5-th percentile20098240
Q120130326
median20140916
Q320200730
95-th percentile20204864
Maximum20220217
Range129892
Interquartile range (IQR)70404

Descriptive statistics

Standard deviation42341.34
Coefficient of variation (CV)0.0021006325
Kurtosis-1.5004448
Mean20156472
Median Absolute Deviation (MAD)40697
Skewness-0.040739674
Sum3.4266002 × 108
Variance1.7927891 × 109
MonotonicityNot monotonic
2024-05-11T00:45:10.514297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20131112 2
 
3.8%
20201018 1
 
1.9%
20170106 1
 
1.9%
20220217 1
 
1.9%
20200819 1
 
1.9%
20201026 1
 
1.9%
20131002 1
 
1.9%
20090325 1
 
1.9%
20130326 1
 
1.9%
20100219 1
 
1.9%
Other values (6) 6
 
11.3%
(Missing) 36
67.9%
ValueCountFrequency (%)
20090325 1
1.9%
20100219 1
1.9%
20100317 1
1.9%
20130124 1
1.9%
20130326 1
1.9%
20131002 1
1.9%
20131112 2
3.8%
20140916 1
1.9%
20170106 1
1.9%
20190124 1
1.9%
ValueCountFrequency (%)
20220217 1
1.9%
20201026 1
1.9%
20201018 1
1.9%
20200819 1
1.9%
20200730 1
1.9%
20190531 1
1.9%
20190124 1
1.9%
20170106 1
1.9%
20140916 1
1.9%
20131112 2
3.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

전화번호
Text

MISSING 

Distinct46
Distinct (%)100.0%
Missing7
Missing (%)13.2%
Memory size556.0 B
2024-05-11T00:45:11.325299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.565217
Min length8

Characters and Unicode

Total characters486
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

Unique46 ?
Unique (%)100.0%

Sample

1st row02-352-1134
2nd row02-376-8363
3rd row02-304-2225
4th row02-308-3626
5th row02-382-8530
ValueCountFrequency (%)
02-352-1995 1
 
2.2%
556-8156 1
 
2.2%
07087401626 1
 
2.2%
02)356-0765 1
 
2.2%
02)389-5200 1
 
2.2%
02)352-5442 1
 
2.2%
386-6644 1
 
2.2%
357-5605 1
 
2.2%
02-353-7853 1
 
2.2%
02-354-6606 1
 
2.2%
Other values (36) 36
78.3%
2024-05-11T00:45:12.332282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
15.6%
0 71
14.6%
2 70
14.4%
3 56
11.5%
5 56
11.5%
6 34
7.0%
8 30
 
6.2%
4 28
 
5.8%
7 23
 
4.7%
1 19
 
3.9%
Other values (2) 23
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 403
82.9%
Dash Punctuation 76
 
15.6%
Close Punctuation 7
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 71
17.6%
2 70
17.4%
3 56
13.9%
5 56
13.9%
6 34
8.4%
8 30
7.4%
4 28
 
6.9%
7 23
 
5.7%
1 19
 
4.7%
9 16
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 486
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
15.6%
0 71
14.6%
2 70
14.4%
3 56
11.5%
5 56
11.5%
6 34
7.0%
8 30
 
6.2%
4 28
 
5.8%
7 23
 
4.7%
1 19
 
3.9%
Other values (2) 23
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
15.6%
0 71
14.6%
2 70
14.4%
3 56
11.5%
5 56
11.5%
6 34
7.0%
8 30
 
6.2%
4 28
 
5.8%
7 23
 
4.7%
1 19
 
3.9%
Other values (2) 23
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

지번주소
Text

MISSING 

Distinct51
Distinct (%)98.1%
Missing1
Missing (%)1.9%
Memory size556.0 B
2024-05-11T00:45:12.970987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length22.576923
Min length14

Characters and Unicode

Total characters1174
Distinct characters65
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

Unique50 ?
Unique (%)96.2%

Sample

1st row서울특별시 은평구 갈현동 413-1
2nd row서울특별시 은평구 증산동 209-18 2층
3rd row서울특별시 은평구 응암동 285-1
4th row서울특별시 은평구 역촌동 64-24 101호
5th row서울특별시 은평구 응암동 99-66 지층
ValueCountFrequency (%)
서울특별시 52
21.5%
은평구 52
21.5%
응암동 10
 
4.1%
녹번동 8
 
3.3%
불광동 7
 
2.9%
2층 6
 
2.5%
역촌동 6
 
2.5%
대조동 5
 
2.1%
증산동 4
 
1.7%
갈현동 4
 
1.7%
Other values (69) 88
36.4%
2024-05-11T00:45:14.140382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
230
19.6%
구 55
 
4.7%
동 55
 
4.7%
서 52
 
4.4%
특 52
 
4.4%
별 52
 
4.4%
시 52
 
4.4%
은 52
 
4.4%
평 52
 
4.4%
울 52
 
4.4%
Other values (55) 470
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 636
54.2%
Decimal Number 237
 
20.2%
Space Separator 230
 
19.6%
Dash Punctuation 46
 
3.9%
Other Punctuation 22
 
1.9%
Open Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 55
 
8.6%
동 55
 
8.6%
서 52
 
8.2%
특 52
 
8.2%
별 52
 
8.2%
시 52
 
8.2%
은 52
 
8.2%
평 52
 
8.2%
울 52
 
8.2%
호 16
 
2.5%
Other values (39) 146
23.0%
Decimal Number
ValueCountFrequency (%)
1 49
20.7%
2 48
20.3%
0 31
13.1%
3 26
11.0%
4 19
 
8.0%
9 18
 
7.6%
8 17
 
7.2%
6 12
 
5.1%
5 11
 
4.6%
7 6
 
2.5%
Space Separator
ValueCountFrequency (%)
230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Other Punctuation
ValueCountFrequency (%)
* 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 636
54.2%
Common 537
45.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 55
 
8.6%
동 55
 
8.6%
서 52
 
8.2%
특 52
 
8.2%
별 52
 
8.2%
시 52
 
8.2%
은 52
 
8.2%
평 52
 
8.2%
울 52
 
8.2%
호 16
 
2.5%
Other values (39) 146
23.0%
Common
ValueCountFrequency (%)
230
42.8%
1 49
 
9.1%
2 48
 
8.9%
- 46
 
8.6%
0 31
 
5.8%
3 26
 
4.8%
* 22
 
4.1%
4 19
 
3.5%
9 18
 
3.4%
8 17
 
3.2%
Other values (5) 31
 
5.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 636
54.2%
ASCII 538
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
230
42.8%
1 49
 
9.1%
2 48
 
8.9%
- 46
 
8.6%
0 31
 
5.8%
3 26
 
4.8%
* 22
 
4.1%
4 19
 
3.5%
9 18
 
3.3%
8 17
 
3.2%
Other values (6) 32
 
5.9%
Hangul
ValueCountFrequency (%)
구 55
 
8.6%
동 55
 
8.6%
서 52
 
8.2%
특 52
 
8.2%
별 52
 
8.2%
시 52
 
8.2%
은 52
 
8.2%
평 52
 
8.2%
울 52
 
8.2%
호 16
 
2.5%
Other values (39) 146
23.0%

도로명주소
Text

MISSING 

Distinct48
Distinct (%)98.0%
Missing4
Missing (%)7.5%
Memory size556.0 B
2024-05-11T00:45:14.803325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length29.204082
Min length23

Characters and Unicode

Total characters1431
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

Unique47 ?
Unique (%)95.9%

Sample

1st row서울특별시 은평구 통일로89길 5 (갈현동)
2nd row서울특별시 은평구 증산서길 65 (증산동,2층)
3rd row서울특별시 은평구 연서로3나길 12-3, 101호 (역촌동)
4th row서울특별시 은평구 은평로10길 17-5 (응암동,지층)
5th row서울특별시 은평구 서오릉로 149 (구산동)
ValueCountFrequency (%)
서울특별시 49
 
17.8%
은평구 49
 
17.8%
불광동 6
 
2.2%
응암동 5
 
1.8%
통일로 5
 
1.8%
3 5
 
1.8%
갈현동 5
 
1.8%
증산서길 4
 
1.4%
역촌동 4
 
1.4%
10 4
 
1.4%
Other values (101) 140
50.7%
2024-05-11T00:45:15.791823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
247
 
17.3%
서 71
 
5.0%
평 56
 
3.9%
은 56
 
3.9%
동 52
 
3.6%
구 51
 
3.6%
) 50
 
3.5%
( 50
 
3.5%
시 49
 
3.4%
별 49
 
3.4%
Other values (79) 700
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 805
56.3%
Space Separator 247
 
17.3%
Decimal Number 210
 
14.7%
Other Punctuation 57
 
4.0%
Close Punctuation 50
 
3.5%
Open Punctuation 50
 
3.5%
Dash Punctuation 11
 
0.8%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 71
 
8.8%
평 56
 
7.0%
은 56
 
7.0%
동 52
 
6.5%
구 51
 
6.3%
시 49
 
6.1%
별 49
 
6.1%
울 49
 
6.1%
특 49
 
6.1%
로 45
 
5.6%
Other values (62) 278
34.5%
Decimal Number
ValueCountFrequency (%)
1 48
22.9%
3 39
18.6%
2 33
15.7%
0 25
11.9%
5 16
 
7.6%
7 13
 
6.2%
9 11
 
5.2%
6 10
 
4.8%
8 9
 
4.3%
4 6
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 37
64.9%
* 20
35.1%
Space Separator
ValueCountFrequency (%)
247
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 805
56.3%
Common 625
43.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 71
 
8.8%
평 56
 
7.0%
은 56
 
7.0%
동 52
 
6.5%
구 51
 
6.3%
시 49
 
6.1%
별 49
 
6.1%
울 49
 
6.1%
특 49
 
6.1%
로 45
 
5.6%
Other values (62) 278
34.5%
Common
ValueCountFrequency (%)
247
39.5%
) 50
 
8.0%
( 50
 
8.0%
1 48
 
7.7%
3 39
 
6.2%
, 37
 
5.9%
2 33
 
5.3%
0 25
 
4.0%
* 20
 
3.2%
5 16
 
2.6%
Other values (6) 60
 
9.6%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 805
56.3%
ASCII 626
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
247
39.5%
) 50
 
8.0%
( 50
 
8.0%
1 48
 
7.7%
3 39
 
6.2%
, 37
 
5.9%
2 33
 
5.3%
0 25
 
4.0%
* 20
 
3.2%
5 16
 
2.6%
Other values (7) 61
 
9.7%
Hangul
ValueCountFrequency (%)
서 71
 
8.8%
평 56
 
7.0%
은 56
 
7.0%
동 52
 
6.5%
구 51
 
6.3%
시 49
 
6.1%
별 49
 
6.1%
울 49
 
6.1%
특 49
 
6.1%
로 45
 
5.6%
Other values (62) 278
34.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)77.8%
Missing44
Missing (%)83.0%
Infinite0
Infinite (%)0.0%
Mean3409.1111
Minimum3311
Maximum3493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-11T00:45:16.199215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3311
5-th percentile3315
Q13378
median3418
Q33458
95-th percentile3493
Maximum3493
Range182
Interquartile range (IQR)80

Descriptive statistics

Standard deviation66.401138
Coefficient of variation (CV)0.019477552
Kurtosis-1.0065923
Mean3409.1111
Median Absolute Deviation (MAD)40
Skewness-0.20015077
Sum30682
Variance4409.1111
MonotonicityNot monotonic
2024-05-11T00:45:16.617892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3418 2
 
3.8%
3493 2
 
3.8%
3321 1
 
1.9%
3392 1
 
1.9%
3458 1
 
1.9%
3311 1
 
1.9%
3378 1
 
1.9%
(Missing) 44
83.0%
ValueCountFrequency (%)
3311 1
1.9%
3321 1
1.9%
3378 1
1.9%
3392 1
1.9%
3418 2
3.8%
3458 1
1.9%
3493 2
3.8%
ValueCountFrequency (%)
3493 2
3.8%
3458 1
1.9%
3418 2
3.8%
3392 1
1.9%
3378 1
1.9%
3321 1
1.9%
3311 1
1.9%

사업장명
Text

Distinct51
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size556.0 B
2024-05-11T00:45:17.323122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length7.3396226
Min length2

Characters and Unicode

Total characters389
Distinct characters115
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)92.5%

Sample

1st row(주)준원이엔씨
2nd row주식회사 대평선건설
3rd row(주)우봉이엔씨
4th row한양환경
5th row삼부엔지니어링
ValueCountFrequency (%)
주식회사 3
 
5.0%
스카이건설(주 2
 
3.3%
열린종합관리(주 2
 
3.3%
광 1
 
1.7%
동 1
 
1.7%
주)오성환경시스템 1
 
1.7%
금산건설(주 1
 
1.7%
주)준원이엔씨 1
 
1.7%
한영씨앤씨 1
 
1.7%
복리건설(주 1
 
1.7%
Other values (46) 46
76.7%
2024-05-11T00:45:18.377513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 34
 
8.7%
( 31
 
8.0%
) 31
 
8.0%
건 16
 
4.1%
설 14
 
3.6%
스 13
 
3.3%
이 13
 
3.3%
경 10
 
2.6%
환 10
 
2.6%
시 8
 
2.1%
Other values (105) 209
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
80.7%
Open Punctuation 31
 
8.0%
Close Punctuation 31
 
8.0%
Space Separator 7
 
1.8%
Uppercase Letter 4
 
1.0%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 34
 
10.8%
건 16
 
5.1%
설 14
 
4.5%
스 13
 
4.1%
이 13
 
4.1%
경 10
 
3.2%
환 10
 
3.2%
시 8
 
2.5%
에 6
 
1.9%
템 6
 
1.9%
Other values (97) 184
58.6%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
N 1
25.0%
C 1
25.0%
K 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
80.7%
Common 71
 
18.3%
Latin 4
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 34
 
10.8%
건 16
 
5.1%
설 14
 
4.5%
스 13
 
4.1%
이 13
 
4.1%
경 10
 
3.2%
환 10
 
3.2%
시 8
 
2.5%
에 6
 
1.9%
템 6
 
1.9%
Other values (97) 184
58.6%
Common
ValueCountFrequency (%)
( 31
43.7%
) 31
43.7%
7
 
9.9%
. 2
 
2.8%
Latin
ValueCountFrequency (%)
E 1
25.0%
N 1
25.0%
C 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
80.7%
ASCII 75
 
19.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 34
 
10.8%
건 16
 
5.1%
설 14
 
4.5%
스 13
 
4.1%
이 13
 
4.1%
경 10
 
3.2%
환 10
 
3.2%
시 8
 
2.5%
에 6
 
1.9%
템 6
 
1.9%
Other values (97) 184
58.6%
ASCII
ValueCountFrequency (%)
( 31
41.3%
) 31
41.3%
7
 
9.3%
. 2
 
2.7%
E 1
 
1.3%
N 1
 
1.3%
C 1
 
1.3%
K 1
 
1.3%

최종수정일자
Date

Distinct26
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2015-01-05 21:09:59
Maximum2023-07-10 09:30:58
2024-05-11T00:45:18.894287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:45:19.373496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
I
34 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 34
64.2%
U 19
35.8%

Length

2024-05-11T00:45:19.845018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:20.166796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 34
64.2%
u 19
35.8%

데이터갱신일자
Date

Distinct18
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-06 23:03:00
2024-05-11T00:45:20.587951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:45:21.092293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)84.6%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean192763.51
Minimum190083.67
Maximum194101.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-11T00:45:22.186826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190083.67
5-th percentile191583.5
Q1192482.36
median192814.9
Q3193198.95
95-th percentile193858.7
Maximum194101.13
Range4017.4602
Interquartile range (IQR)716.58863

Descriptive statistics

Standard deviation713.16534
Coefficient of variation (CV)0.0036996906
Kurtosis2.842223
Mean192763.51
Median Absolute Deviation (MAD)361.68835
Skewness-1.0101074
Sum10023702
Variance508604.8
MonotonicityNot monotonic
2024-05-11T00:45:22.670588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
191583.497793556 4
 
7.5%
193156.561270858 3
 
5.7%
192917.802185102 2
 
3.8%
193340.016253073 2
 
3.8%
192599.916165983 2
 
3.8%
194101.134591972 1
 
1.9%
193988.340663932 1
 
1.9%
193918.82603595 1
 
1.9%
193537.770696021 1
 
1.9%
192683.135250388 1
 
1.9%
Other values (34) 34
64.2%
ValueCountFrequency (%)
190083.674433147 1
 
1.9%
191583.497793556 4
7.5%
191952.806929051 1
 
1.9%
191978.624394275 1
 
1.9%
192192.004511505 1
 
1.9%
192204.317641686 1
 
1.9%
192267.245532202 1
 
1.9%
192308.95074073 1
 
1.9%
192381.95027852 1
 
1.9%
192475.655683139 1
 
1.9%
ValueCountFrequency (%)
194101.134591972 1
1.9%
193988.340663932 1
1.9%
193918.82603595 1
1.9%
193809.505353079 1
1.9%
193609.971891047 1
1.9%
193537.770696021 1
1.9%
193519.842696237 1
1.9%
193340.016253073 2
3.8%
193248.283814327 1
1.9%
193247.999960331 1
1.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)84.6%
Missing1
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean455919.84
Minimum453375.37
Maximum458989.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2024-05-11T00:45:23.108653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453375.37
5-th percentile453375.37
Q1455220.38
median455991.62
Q3456861.82
95-th percentile458051.81
Maximum458989.14
Range5613.7651
Interquartile range (IQR)1641.4383

Descriptive statistics

Standard deviation1466.4159
Coefficient of variation (CV)0.0032163897
Kurtosis-0.71741297
Mean455919.84
Median Absolute Deviation (MAD)796.52012
Skewness-0.12334139
Sum23707832
Variance2150375.5
MonotonicityNot monotonic
2024-05-11T00:45:23.566264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
453375.372928204 4
 
7.5%
457559.907742276 3
 
5.7%
453966.944976326 2
 
3.8%
457795.722154867 2
 
3.8%
458051.808468089 2
 
3.8%
456224.94664771 1
 
1.9%
457192.667773715 1
 
1.9%
455450.7912985 1
 
1.9%
455546.789945638 1
 
1.9%
456035.423620873 1
 
1.9%
Other values (34) 34
64.2%
ValueCountFrequency (%)
453375.372928204 4
7.5%
453519.463895899 1
 
1.9%
453757.981520885 1
 
1.9%
453779.973026503 1
 
1.9%
453966.944976326 2
3.8%
454222.092915236 1
 
1.9%
454717.235232744 1
 
1.9%
454814.101987448 1
 
1.9%
455197.91922534 1
 
1.9%
455227.872102084 1
 
1.9%
ValueCountFrequency (%)
458989.138045 1
 
1.9%
458072.57505791 1
 
1.9%
458051.808468089 2
3.8%
458021.403650943 1
 
1.9%
457795.722154867 2
3.8%
457559.907742276 3
5.7%
457550.940495162 1
 
1.9%
457192.667773715 1
 
1.9%
457074.410119458 1
 
1.9%
456790.959475138 1
 
1.9%

업무구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
31
48 
<NA>
5 

Length

Max length4
Median length2
Mean length2.1886792
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
31 48
90.6%
<NA> 5
 
9.4%

Length

2024-05-11T00:45:24.085159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:24.494841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 48
90.6%
na 5
 
9.4%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

건축물연면적
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
47 
0
6 

Length

Max length4
Median length4
Mean length3.6603774
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
88.7%
0 6
 
11.3%

Length

2024-05-11T00:45:24.950171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:25.452047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
88.7%
0 6
 
11.3%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing53
Missing (%)100.0%
Memory size609.0 B

휴업폐지사유
Text

MISSING 

Distinct14
Distinct (%)66.7%
Missing32
Missing (%)60.4%
Memory size556.0 B
2024-05-11T00:45:25.888270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length8.9047619
Min length2

Characters and Unicode

Total characters187
Distinct characters63
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

Unique12 ?
Unique (%)57.1%

Sample

1st row사업부진
2nd row영업부진
3rd row사업부진
4th row영업소재지 지방이전
5th row영업부진
ValueCountFrequency (%)
영업부진 6
 
13.0%
사업부진 3
 
6.5%
이전 3
 
6.5%
사무실 3
 
6.5%
인한 3
 
6.5%
지방이전 2
 
4.3%
미달로 1
 
2.2%
시설 1
 
2.2%
및 1
 
2.2%
인력기준 1
 
2.2%
Other values (22) 22
47.8%
2024-05-11T00:45:26.996792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
13.4%
업 14
 
7.5%
영 9
 
4.8%
부 9
 
4.8%
진 9
 
4.8%
사 7
 
3.7%
폐 6
 
3.2%
이 6
 
3.2%
전 6
 
3.2%
지 5
 
2.7%
Other values (53) 91
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 149
79.7%
Space Separator 25
 
13.4%
Decimal Number 11
 
5.9%
Other Punctuation 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 14
 
9.4%
영 9
 
6.0%
부 9
 
6.0%
진 9
 
6.0%
사 7
 
4.7%
폐 6
 
4.0%
이 6
 
4.0%
전 6
 
4.0%
지 5
 
3.4%
인 5
 
3.4%
Other values (46) 73
49.0%
Decimal Number
ValueCountFrequency (%)
2 4
36.4%
0 3
27.3%
1 2
18.2%
7 1
 
9.1%
5 1
 
9.1%
Space Separator
ValueCountFrequency (%)
25
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 149
79.7%
Common 38
 
20.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 14
 
9.4%
영 9
 
6.0%
부 9
 
6.0%
진 9
 
6.0%
사 7
 
4.7%
폐 6
 
4.0%
이 6
 
4.0%
전 6
 
4.0%
지 5
 
3.4%
인 5
 
3.4%
Other values (46) 73
49.0%
Common
ValueCountFrequency (%)
25
65.8%
2 4
 
10.5%
0 3
 
7.9%
. 2
 
5.3%
1 2
 
5.3%
7 1
 
2.6%
5 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 149
79.7%
ASCII 38
 
20.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
65.8%
2 4
 
10.5%
0 3
 
7.9%
. 2
 
5.3%
1 2
 
5.3%
7 1
 
2.6%
5 1
 
2.6%
Hangul
ValueCountFrequency (%)
업 14
 
9.4%
영 9
 
6.0%
부 9
 
6.0%
진 9
 
6.0%
사 7
 
4.7%
폐 6
 
4.0%
이 6
 
4.0%
전 6
 
4.0%
지 5
 
3.4%
인 5
 
3.4%
Other values (46) 73
49.0%

업무구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
저수조청소업
48 
<NA>
5 

Length

Max length6
Median length6
Mean length5.8113208
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 48
90.6%
<NA> 5
 
9.4%

Length

2024-05-11T00:45:27.578157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:45:28.106742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 48
90.6%
na 5
 
9.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
0311000031100003120010000120130326<NA>3폐업2폐업20130326<NA><NA><NA>02-352-1134<NA><NA>서울특별시 은평구 갈현동 413-1서울특별시 은평구 통일로89길 5 (갈현동)<NA>(주)준원이엔씨2015-01-05 21:09:59I2018-08-31 23:59:59.0<NA>192783.30894458021.40365131<NA><NA><NA><NA><NA>사업부진저수조청소업
1311000031100003120010000220080305<NA>1영업/정상11정상<NA><NA><NA><NA>02-376-8363<NA><NA>서울특별시 은평구 증산동 209-18 2층서울특별시 은평구 증산서길 65 (증산동,2층)<NA>주식회사 대평선건설2022-02-17 11:22:42U2022-02-19 02:40:00.0<NA>191583.497794453375.37292831<NA>0<NA><NA><NA><NA>저수조청소업
2311000031100003120010000320131112<NA>3폐업2폐업20131112<NA><NA><NA>02-304-2225<NA><NA>서울특별시 은평구 응암동 285-1<NA><NA>(주)우봉이엔씨2015-01-05 21:09:59I2018-08-31 23:59:59.0<NA>192917.802185453966.94497631<NA><NA><NA><NA><NA>영업부진저수조청소업
3311000031100003120010000420220317<NA>1영업/정상11정상<NA><NA><NA><NA>02-308-3626<NA><NA>서울특별시 은평구 역촌동 64-24 101호서울특별시 은평구 연서로3나길 12-3, 101호 (역촌동)3418한양환경2022-03-17 18:05:39U2022-03-19 02:40:00.0<NA>192267.245532455700.25781831<NA>0<NA><NA><NA><NA>저수조청소업
4311000031100003120010000519990210<NA>1영업/정상11정상<NA><NA><NA><NA>02-382-8530<NA><NA>서울특별시 은평구 응암동 99-66 지층서울특별시 은평구 은평로10길 17-5 (응암동,지층)<NA>삼부엔지니어링2015-01-05 21:09:59I2018-08-31 23:59:59.0<NA>193247.99996455227.87210231<NA><NA><NA><NA><NA><NA>저수조청소업
5311000031100003120010000620071214<NA>1영업/정상11정상<NA><NA><NA><NA>02-354-4951<NA><NA>서울특별시 은평구 구산동 2-36서울특별시 은평구 서오릉로 149 (구산동)<NA>기흥건설2015-01-05 21:09:59I2018-08-31 23:59:59.0<NA>192530.535975456583.70963731<NA><NA><NA><NA><NA><NA>저수조청소업
6311000031100003120010000719980903<NA>1영업/정상11정상<NA><NA><NA><NA>02-385-6366<NA><NA>서울특별시 은평구 대조동 218-26서울특별시 은평구 연서로24길 10 (대조동)<NA>(주)아킴스2015-01-05 21:09:59I2018-08-31 23:59:59.0<NA>192846.495652457074.41011931<NA><NA><NA><NA><NA><NA>저수조청소업
7311000031100003120010000819951007<NA>1영업/정상11정상<NA><NA><NA><NA>02-354-1778<NA><NA>서울특별시 은평구 갈현동 449-10서울특별시 은평구 갈현로33길 3 (갈현동)3321(주)거문환경2022-03-14 10:11:15U2022-03-16 02:40:00.0<NA>192484.601081457550.94049531<NA>0<NA><NA><NA><NA>저수조청소업
8311000031100003120010001019991228<NA>1영업/정상11정상<NA><NA><NA><NA>02-385-1799<NA><NA>서울특별시 은평구 응암동 85-30 2층서울특별시 은평구 은평로11길 12-20 (응암동,2층)<NA>온세주택관리(주)2015-01-05 21:09:59I2018-08-31 23:59:59.0<NA>193248.283814455507.89452731<NA><NA><NA><NA><NA><NA>저수조청소업
9311000031100003120020000120031017<NA>3폐업2폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 신사동 34-9서울특별시 은평구 증산로19길 8 (신사동)<NA>상생종합건설(주)2015-01-05 21:09:59I2018-08-31 23:59:59.0<NA>192308.950741454717.23523331<NA><NA><NA><NA><NA>사업부진저수조청소업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
43311000031100003120150000120150313<NA>1영업/정상11정상<NA><NA><NA><NA>02-309-2340<NA><NA>서울특별시 은평구 증산동 209-18 202호서울특별시 은평구 증산서길 65, 2층 202호 (증산동)3493(주)일승토건2022-02-14 09:43:44U2022-02-16 02:40:00.0<NA>191583.497794453375.37292831<NA>0<NA><NA><NA><NA>저수조청소업
44311000031100003120150000220150604<NA>1영업/정상11정상<NA><NA><NA><NA>02-798-8230<NA><NA>서울특별시 은평구 응암동 738서울특별시 은평구 은평로 82 (응암동, 해태드림타운B133호)<NA>새로미2015-06-05 17:56:33I2018-08-31 23:59:59.0<NA>192600.451567455197.91922531<NA><NA><NA><NA><NA><NA>저수조청소업
45311000031100003120160000120160225<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 불광동 419-1서울특별시 은평구 연서로35길 13 (불광동)<NA>엠에스테크건설2016-02-24 15:52:11I2018-08-31 23:59:59.0<NA>193340.016253457795.72215531<NA><NA><NA><NA><NA><NA>저수조청소업
46311000031100003120160000220160225<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 연서로35길 13 (불광동)<NA>엠에스테크건설(주)2016-04-06 16:41:51I2018-08-31 23:59:59.0<NA>193340.016253457795.72215531<NA><NA><NA><NA><NA><NA>저수조청소업
47311000031100003120160000320160315<NA>3폐업2폐업20220217<NA><NA><NA><NA><NA><NA>서울특별시 은평구 증산동서울특별시 은평구 증산서길 65, 2층 (증산동)<NA>스카이건설(주)2022-02-17 09:16:34U2022-02-19 02:40:00.0<NA>191583.497794453375.37292831<NA>0<NA><NA><NA>신고사항 중복으로 인하여 제외저수조청소업
48311000031100003120160000420160322<NA>1영업/정상11정상<NA><NA><NA><NA>02-376-0892<NA><NA>서울특별시 은평구 증산동 209-18 302호서울특별시 은평구 증산서길 65, 3층 302호 (증산동)3493스카이건설(주)2022-02-17 16:47:09U2022-02-19 02:40:00.0<NA>191583.497794453375.37292831<NA>0<NA><NA><NA><NA>저수조청소업
49311000031100003120160000520160404<NA>3폐업2폐업20170106<NA><NA><NA><NA><NA><NA>서울특별시 은평구 신사동서울특별시 은평구 증산로15길 36 (신사동)<NA>(주) 광 동2017-01-09 17:08:14I2018-08-31 23:59:59.0<NA>191952.806929454222.09291531<NA><NA><NA><NA><NA><NA>저수조청소업
50311000031100003120180000120180330<NA>1영업/정상11정상<NA><NA><NA><NA><NA><NA><NA>서울특별시 은평구 진관동 100-3 아이파크포레스트게이트 2535호서울특별시 은평구 통일로 1010, 아이파크포레스트게이트 2535호 (진관동)3311금산건설(주)2020-04-23 10:25:55U2020-04-25 02:40:00.0<NA>192889.408474458989.13804531<NA><NA><NA><NA><NA><NA>저수조청소업
5131100003110000312018000022022-06-09<NA>1영업/정상11정상<NA><NA><NA><NA>02-302-5450<NA><NA>서울특별시 은평구 녹번동 ***-** *층서울특별시 은평구 진흥로 ***, *층 (녹번동)3378(주)오성환경시스템2023-02-15 10:16:09U2022-12-01 23:07:00.0<NA>193233.868302456109.288275<NA><NA><NA><NA><NA><NA><NA><NA>
5231100003110000312020000012023-06-21<NA>1영업/정상11정상<NA><NA><NA><NA>02-6326-7700<NA><NA>서울특별시 은평구 역촌동 **-** ***호서울특별시 은평구 연서로*길 **-*, ***호 (역촌동)3418(주)세한에스에이치2023-06-21 09:37:39U2022-12-05 22:03:00.0<NA>192381.950279455587.487033<NA><NA><NA><NA><NA><NA><NA><NA>