Overview

Dataset statistics

Number of variables33
Number of observations58
Missing cells673
Missing cells (%)35.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.2 KiB
Average record size in memory286.3 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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-19498/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (87.4%)Imbalance
휴업종료일자 is highly imbalanced (87.4%)Imbalance
건축물연면적 is highly imbalanced (63.8%)Imbalance
인허가취소일자 has 58 (100.0%) missing valuesMissing
폐업일자 has 32 (55.2%) missing valuesMissing
재개업일자 has 58 (100.0%) missing valuesMissing
전화번호 has 12 (20.7%) missing valuesMissing
소재지면적 has 58 (100.0%) missing valuesMissing
소재지우편번호 has 58 (100.0%) missing valuesMissing
지번주소 has 6 (10.3%) missing valuesMissing
도로명주소 has 28 (48.3%) missing valuesMissing
도로명우편번호 has 42 (72.4%) missing valuesMissing
업태구분명 has 58 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.7%) missing valuesMissing
좌표정보(Y) has 1 (1.7%) missing valuesMissing
건축물명 has 58 (100.0%) missing valuesMissing
건축물상태명 has 58 (100.0%) missing valuesMissing
청소대상시작일자 has 58 (100.0%) missing valuesMissing
청소대상종료일자 has 58 (100.0%) missing valuesMissing
휴업폐지사유 has 29 (50.0%) 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 07:02:23.339583
Analysis finished2024-05-11 07:02:23.848514
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
3210000
58 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 58
100.0%

Length

2024-05-11T16:02:23.913156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:24.015847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 58
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2100003 × 1017
Minimum3.2100003 × 1017
Maximum3.2100003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T16:02:24.141831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2100003 × 1017
5-th percentile3.2100003 × 1017
Q13.2100003 × 1017
median3.2100003 × 1017
Q33.2100003 × 1017
95-th percentile3.2100003 × 1017
Maximum3.2100003 × 1017
Range2100000
Interquartile range (IQR)1000000

Descriptive statistics

Standard deviation633963.41
Coefficient of variation (CV)1.9749637 × 10-12
Kurtosis-0.9990777
Mean3.2100003 × 1017
Median Absolute Deviation (MAD)400000
Skewness0.61192802
Sum1.7125774 × 1017
Variance4.0190961 × 1011
MonotonicityStrictly increasing
2024-05-11T16:02:24.320964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321000031200200001 1
 
1.7%
321000031201500003 1
 
1.7%
321000031201100001 1
 
1.7%
321000031201100003 1
 
1.7%
321000031201200002 1
 
1.7%
321000031201200003 1
 
1.7%
321000031201200004 1
 
1.7%
321000031201300001 1
 
1.7%
321000031201300002 1
 
1.7%
321000031201300003 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
321000031200200001 1
1.7%
321000031200300001 1
1.7%
321000031200300002 1
1.7%
321000031200300003 1
1.7%
321000031200300004 1
1.7%
321000031200300005 1
1.7%
321000031200400001 1
1.7%
321000031200400003 1
1.7%
321000031200400004 1
1.7%
321000031200400005 1
1.7%
ValueCountFrequency (%)
321000031202300001 1
1.7%
321000031202200003 1
1.7%
321000031202200002 1
1.7%
321000031202200001 1
1.7%
321000031202100002 1
1.7%
321000031202000003 1
1.7%
321000031202000002 1
1.7%
321000031202000001 1
1.7%
321000031201900001 1
1.7%
321000031201800001 1
1.7%

인허가일자
Date

Distinct54
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2001-09-29 00:00:00
Maximum2023-02-14 00:00:00
2024-05-11T16:02:24.472544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:24.642028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
3
35 
1
19 
4
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
3 35
60.3%
1 19
32.8%
4 3
 
5.2%
2 1
 
1.7%

Length

2024-05-11T16:02:24.815114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:24.973394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 35
60.3%
1 19
32.8%
4 3
 
5.2%
2 1
 
1.7%

영업상태명
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
폐업
35 
영업/정상
19 
취소/말소/만료/정지/중지
 
3
휴업
 
1

Length

Max length14
Median length2
Mean length3.6034483
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 35
60.3%
영업/정상 19
32.8%
취소/말소/만료/정지/중지 3
 
5.2%
휴업 1
 
1.7%

Length

2024-05-11T16:02:25.175875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:25.314520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 35
60.3%
영업/정상 19
32.8%
취소/말소/만료/정지/중지 3
 
5.2%
휴업 1
 
1.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
2
35 
11
19 
4
 
3
1
 
1

Length

Max length2
Median length1
Mean length1.3275862
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
2 35
60.3%
11 19
32.8%
4 3
 
5.2%
1 1
 
1.7%

Length

2024-05-11T16:02:25.452389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:25.586551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 35
60.3%
11 19
32.8%
4 3
 
5.2%
1 1
 
1.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
폐업
35 
정상
19 
폐쇄
 
3
휴업
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 35
60.3%
정상 19
32.8%
폐쇄 3
 
5.2%
휴업 1
 
1.7%

Length

2024-05-11T16:02:25.723000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:25.854691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 35
60.3%
정상 19
32.8%
폐쇄 3
 
5.2%
휴업 1
 
1.7%

폐업일자
Date

MISSING 

Distinct26
Distinct (%)100.0%
Missing32
Missing (%)55.2%
Memory size596.0 B
Minimum2003-12-05 00:00:00
Maximum2023-05-11 00:00:00
2024-05-11T16:02:25.986911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:26.147202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
57 
20230101
 
1

Length

Max length8
Median length4
Mean length4.0689655
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
98.3%
20230101 1
 
1.7%

Length

2024-05-11T16:02:26.337859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:26.489626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
98.3%
20230101 1
 
1.7%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
57 
20231231
 
1

Length

Max length8
Median length4
Mean length4.0689655
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
98.3%
20231231 1
 
1.7%

Length

2024-05-11T16:02:26.644801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:26.795122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
98.3%
20231231 1
 
1.7%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

전화번호
Text

MISSING 

Distinct44
Distinct (%)95.7%
Missing12
Missing (%)20.7%
Memory size596.0 B
2024-05-11T16:02:27.059314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.6521739
Min length8

Characters and Unicode

Total characters444
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

Unique42 ?
Unique (%)91.3%

Sample

1st row525-8501
2nd row02-577-4217
3rd row578-5511
4th row503-0203-4
5th row571-6906
ValueCountFrequency (%)
02-597-3105 2
 
4.3%
2635-5989 2
 
4.3%
02-2280-5382 1
 
2.2%
070-5014-5430 1
 
2.2%
578-3138 1
 
2.2%
599-9911 1
 
2.2%
597-8955 1
 
2.2%
2057-2147 1
 
2.2%
02)521-7501 1
 
2.2%
3407-5711 1
 
2.2%
Other values (34) 34
73.9%
2024-05-11T16:02:27.660814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 63
14.2%
0 58
13.1%
5 58
13.1%
7 46
10.4%
2 45
10.1%
1 37
8.3%
3 33
7.4%
8 33
7.4%
9 27
6.1%
4 24
 
5.4%
Other values (2) 20
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 380
85.6%
Dash Punctuation 63
 
14.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 58
15.3%
5 58
15.3%
7 46
12.1%
2 45
11.8%
1 37
9.7%
3 33
8.7%
8 33
8.7%
9 27
7.1%
4 24
6.3%
6 19
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 444
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 63
14.2%
0 58
13.1%
5 58
13.1%
7 46
10.4%
2 45
10.1%
1 37
8.3%
3 33
7.4%
8 33
7.4%
9 27
6.1%
4 24
 
5.4%
Other values (2) 20
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 444
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 63
14.2%
0 58
13.1%
5 58
13.1%
7 46
10.4%
2 45
10.1%
1 37
8.3%
3 33
7.4%
8 33
7.4%
9 27
6.1%
4 24
 
5.4%
Other values (2) 20
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

지번주소
Text

MISSING 

Distinct51
Distinct (%)98.1%
Missing6
Missing (%)10.3%
Memory size596.0 B
2024-05-11T16:02:28.044385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length24.115385
Min length14

Characters and Unicode

Total characters1254
Distinct characters87
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 서초구 방배동 771-1
2nd row서울특별시 서초구 염곡동 85-1
3rd row서울특별시 서초구 서초동 1604-7 동림빌딩(지상1층)
4th row서울특별시 서초구 양재동 243-8
5th row서울특별시 서초구 양재동 318-4
ValueCountFrequency (%)
서울특별시 52
21.7%
서초구 52
21.7%
방배동 21
 
8.8%
양재동 15
 
6.2%
서초동 10
 
4.2%
6
 
2.5%
362-8 2
 
0.8%
염곡동 2
 
0.8%
1층 2
 
0.8%
339-1 2
 
0.8%
Other values (75) 76
31.7%
2024-05-11T16:02:28.638122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
230
18.3%
서 116
 
9.3%
초 63
 
5.0%
동 55
 
4.4%
구 53
 
4.2%
특 52
 
4.1%
별 52
 
4.1%
시 52
 
4.1%
울 52
 
4.1%
- 48
 
3.8%
Other values (77) 481
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 704
56.1%
Decimal Number 232
 
18.5%
Space Separator 230
 
18.3%
Dash Punctuation 48
 
3.8%
Other Punctuation 32
 
2.6%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 116
16.5%
초 63
 
8.9%
동 55
 
7.8%
구 53
 
7.5%
특 52
 
7.4%
별 52
 
7.4%
시 52
 
7.4%
울 52
 
7.4%
배 23
 
3.3%
방 23
 
3.3%
Other values (60) 163
23.2%
Decimal Number
ValueCountFrequency (%)
1 47
20.3%
3 30
12.9%
2 26
11.2%
0 24
10.3%
4 23
9.9%
7 19
8.2%
5 18
 
7.8%
8 18
 
7.8%
9 14
 
6.0%
6 13
 
5.6%
Other Punctuation
ValueCountFrequency (%)
* 30
93.8%
, 2
 
6.2%
Space Separator
ValueCountFrequency (%)
230
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 704
56.1%
Common 548
43.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 116
16.5%
초 63
 
8.9%
동 55
 
7.8%
구 53
 
7.5%
특 52
 
7.4%
별 52
 
7.4%
시 52
 
7.4%
울 52
 
7.4%
배 23
 
3.3%
방 23
 
3.3%
Other values (60) 163
23.2%
Common
ValueCountFrequency (%)
230
42.0%
- 48
 
8.8%
1 47
 
8.6%
* 30
 
5.5%
3 30
 
5.5%
2 26
 
4.7%
0 24
 
4.4%
4 23
 
4.2%
7 19
 
3.5%
5 18
 
3.3%
Other values (6) 53
 
9.7%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 704
56.1%
ASCII 550
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
230
41.8%
- 48
 
8.7%
1 47
 
8.5%
* 30
 
5.5%
3 30
 
5.5%
2 26
 
4.7%
0 24
 
4.4%
4 23
 
4.2%
7 19
 
3.5%
5 18
 
3.3%
Other values (7) 55
 
10.0%
Hangul
ValueCountFrequency (%)
서 116
16.5%
초 63
 
8.9%
동 55
 
7.8%
구 53
 
7.5%
특 52
 
7.4%
별 52
 
7.4%
시 52
 
7.4%
울 52
 
7.4%
배 23
 
3.3%
방 23
 
3.3%
Other values (60) 163
23.2%

도로명주소
Text

MISSING 

Distinct30
Distinct (%)100.0%
Missing28
Missing (%)48.3%
Memory size596.0 B
2024-05-11T16:02:28.997797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35.5
Mean length31.333333
Min length23

Characters and Unicode

Total characters940
Distinct characters100
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

Unique30 ?
Unique (%)100.0%

Sample

1st row서울특별시 서초구 방배로43길 5 (방배동)
2nd row서울특별시 서초구 강남대로18길 15-12, 1층 (양재동)
3rd row서울특별시 서초구 효령로 1038 (방배동)
4th row서울특별시 서초구 방배중앙로 **, 석호빌딩 *층 ***호 (방배동)
5th row서울특별시 서초구 방배중앙로9길 69 (방배동, 지하1층)
ValueCountFrequency (%)
서울특별시 30
 
15.9%
서초구 30
 
15.9%
방배동 13
 
6.9%
서초동 8
 
4.2%
7
 
3.7%
양재동 5
 
2.6%
효령로 5
 
2.6%
호 3
 
1.6%
층 3
 
1.6%
반포대로 2
 
1.1%
Other values (77) 83
43.9%
2024-05-11T16:02:29.582619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
 
16.9%
서 70
 
7.4%
초 39
 
4.1%
동 35
 
3.7%
1 32
 
3.4%
( 30
 
3.2%
특 30
 
3.2%
별 30
 
3.2%
시 30
 
3.2%
구 30
 
3.2%
Other values (90) 455
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 544
57.9%
Space Separator 159
 
16.9%
Decimal Number 113
 
12.0%
Other Punctuation 54
 
5.7%
Open Punctuation 30
 
3.2%
Close Punctuation 30
 
3.2%
Dash Punctuation 5
 
0.5%
Uppercase Letter 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 70
 
12.9%
초 39
 
7.2%
동 35
 
6.4%
특 30
 
5.5%
별 30
 
5.5%
시 30
 
5.5%
구 30
 
5.5%
울 30
 
5.5%
로 27
 
5.0%
방 20
 
3.7%
Other values (70) 203
37.3%
Decimal Number
ValueCountFrequency (%)
1 32
28.3%
3 13
11.5%
0 12
 
10.6%
2 12
 
10.6%
4 12
 
10.6%
8 9
 
8.0%
5 7
 
6.2%
7 6
 
5.3%
9 5
 
4.4%
6 5
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
H 1
20.0%
D 1
20.0%
C 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 29
53.7%
, 25
46.3%
Space Separator
ValueCountFrequency (%)
159
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 544
57.9%
Common 391
41.6%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 70
 
12.9%
초 39
 
7.2%
동 35
 
6.4%
특 30
 
5.5%
별 30
 
5.5%
시 30
 
5.5%
구 30
 
5.5%
울 30
 
5.5%
로 27
 
5.0%
방 20
 
3.7%
Other values (70) 203
37.3%
Common
ValueCountFrequency (%)
159
40.7%
1 32
 
8.2%
( 30
 
7.7%
) 30
 
7.7%
* 29
 
7.4%
, 25
 
6.4%
3 13
 
3.3%
0 12
 
3.1%
2 12
 
3.1%
4 12
 
3.1%
Other values (6) 37
 
9.5%
Latin
ValueCountFrequency (%)
B 2
40.0%
H 1
20.0%
D 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 544
57.9%
ASCII 396
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
40.2%
1 32
 
8.1%
( 30
 
7.6%
) 30
 
7.6%
* 29
 
7.3%
, 25
 
6.3%
3 13
 
3.3%
0 12
 
3.0%
2 12
 
3.0%
4 12
 
3.0%
Other values (10) 42
 
10.6%
Hangul
ValueCountFrequency (%)
서 70
 
12.9%
초 39
 
7.2%
동 35
 
6.4%
특 30
 
5.5%
별 30
 
5.5%
시 30
 
5.5%
구 30
 
5.5%
울 30
 
5.5%
로 27
 
5.0%
방 20
 
3.7%
Other values (70) 203
37.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing42
Missing (%)72.4%
Infinite0
Infinite (%)0.0%
Mean6690.4375
Minimum6567
Maximum6793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T16:02:29.790479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6567
5-th percentile6567.75
Q16672.75
median6693
Q36731.75
95-th percentile6781.75
Maximum6793
Range226
Interquartile range (IQR)59

Descriptive statistics

Standard deviation71.308689
Coefficient of variation (CV)0.0106583
Kurtosis-0.31983715
Mean6690.4375
Median Absolute Deviation (MAD)35
Skewness-0.64691577
Sum107047
Variance5084.9292
MonotonicityNot monotonic
2024-05-11T16:02:29.944312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
6689 2
 
3.4%
6678 2
 
3.4%
6778 1
 
1.7%
6570 1
 
1.7%
6568 1
 
1.7%
6567 1
 
1.7%
6763 1
 
1.7%
6727 1
 
1.7%
6746 1
 
1.7%
6697 1
 
1.7%
Other values (4) 4
 
6.9%
(Missing) 42
72.4%
ValueCountFrequency (%)
6567 1
1.7%
6568 1
1.7%
6570 1
1.7%
6657 1
1.7%
6678 2
3.4%
6689 2
3.4%
6697 1
1.7%
6722 1
1.7%
6725 1
1.7%
6727 1
1.7%
ValueCountFrequency (%)
6793 1
1.7%
6778 1
1.7%
6763 1
1.7%
6746 1
1.7%
6727 1
1.7%
6725 1
1.7%
6722 1
1.7%
6697 1
1.7%
6689 2
3.4%
6678 2
3.4%

사업장명
Text

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-11T16:02:30.277462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length7.7241379
Min length3

Characters and Unicode

Total characters448
Distinct characters126
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

Unique54 ?
Unique (%)93.1%

Sample

1st row(주)현대환경산업
2nd row(주)큐원
3rd row대청안전산업주식회사
4th row(주)크린존
5th row(주)세원환경
ValueCountFrequency (%)
주)대실 2
 
3.3%
주식회사 2
 
3.3%
복지실업 2
 
3.3%
주)테크프러스 1
 
1.6%
에이치디씨랩스(주 1
 
1.6%
대일환경 1
 
1.6%
주)브리콤 1
 
1.6%
주)현대환경산업 1
 
1.6%
이레비앤디(주 1
 
1.6%
대원환경 1
 
1.6%
Other values (48) 48
78.7%
2024-05-11T16:02:30.756677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 47
 
10.5%
) 43
 
9.6%
( 43
 
9.6%
이 17
 
3.8%
경 16
 
3.6%
환 15
 
3.3%
대 11
 
2.5%
스 10
 
2.2%
업 9
 
2.0%
지 7
 
1.6%
Other values (116) 230
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 359
80.1%
Close Punctuation 43
 
9.6%
Open Punctuation 43
 
9.6%
Space Separator 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 47
 
13.1%
이 17
 
4.7%
경 16
 
4.5%
환 15
 
4.2%
대 11
 
3.1%
스 10
 
2.8%
업 9
 
2.5%
지 7
 
1.9%
산 7
 
1.9%
발 6
 
1.7%
Other values (113) 214
59.6%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 359
80.1%
Common 89
 
19.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 47
 
13.1%
이 17
 
4.7%
경 16
 
4.5%
환 15
 
4.2%
대 11
 
3.1%
스 10
 
2.8%
업 9
 
2.5%
지 7
 
1.9%
산 7
 
1.9%
발 6
 
1.7%
Other values (113) 214
59.6%
Common
ValueCountFrequency (%)
) 43
48.3%
( 43
48.3%
3
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 359
80.1%
ASCII 89
 
19.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 47
 
13.1%
이 17
 
4.7%
경 16
 
4.5%
환 15
 
4.2%
대 11
 
3.1%
스 10
 
2.8%
업 9
 
2.5%
지 7
 
1.9%
산 7
 
1.9%
발 6
 
1.7%
Other values (113) 214
59.6%
ASCII
ValueCountFrequency (%)
) 43
48.3%
( 43
48.3%
3
 
3.4%

최종수정일자
Date

Distinct37
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2015-01-05 21:08:34
Maximum2024-03-27 15:11:47
2024-05-11T16:02:30.909849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:31.379331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
I
39 
U
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 39
67.2%
U 19
32.8%

Length

2024-05-11T16:02:31.566351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:31.709838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
67.2%
u 19
32.8%

데이터갱신일자
Date

Distinct21
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 22:09:00
2024-05-11T16:02:31.888860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T16:02:32.052710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)93.0%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean201226.92
Minimum198432.35
Maximum204930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T16:02:32.225814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198432.35
5-th percentile198484.2
Q1199080.41
median201270.01
Q3203458.77
95-th percentile204071.41
Maximum204930
Range6497.6458
Interquartile range (IQR)4378.3677

Descriptive statistics

Standard deviation2134.767
Coefficient of variation (CV)0.010608754
Kurtosis-1.505148
Mean201226.92
Median Absolute Deviation (MAD)2189.6052
Skewness0.099419085
Sum11469935
Variance4557230.2
MonotonicityNot monotonic
2024-05-11T16:02:32.393030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204002.275 2
 
3.4%
200734.993726251 2
 
3.4%
203733.945 2
 
3.4%
198651.46521355 2
 
3.4%
198432.354182494 1
 
1.7%
203417.855710117 1
 
1.7%
201465.191116788 1
 
1.7%
199080.407338263 1
 
1.7%
198530.823893249 1
 
1.7%
202320.417436192 1
 
1.7%
Other values (43) 43
74.1%
ValueCountFrequency (%)
198432.354182494 1
1.7%
198433.751911823 1
1.7%
198449.835091276 1
1.7%
198492.797210723 1
1.7%
198501.761412283 1
1.7%
198530.823893249 1
1.7%
198651.46521355 2
3.4%
198774.341240765 1
1.7%
198779.317553041 1
1.7%
198804.808022847 1
1.7%
ValueCountFrequency (%)
204930.0 1
1.7%
204648.061332538 1
1.7%
204347.957205681 1
1.7%
204002.275 2
3.4%
203929.339844593 1
1.7%
203802.844702331 1
1.7%
203758.83 1
1.7%
203733.945 2
3.4%
203720.065 1
1.7%
203686.431698859 1
1.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)93.0%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean442221.49
Minimum438313
Maximum445638.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T16:02:32.564384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438313
5-th percentile440561.15
Q1441337.15
median442227.85
Q3442803.78
95-th percentile445270.27
Maximum445638.73
Range7325.7308
Interquartile range (IQR)1466.6285

Descriptive statistics

Standard deviation1319.479
Coefficient of variation (CV)0.0029837513
Kurtosis1.7398723
Mean442221.49
Median Absolute Deviation (MAD)580.13114
Skewness0.2507383
Sum25206625
Variance1741024.7
MonotonicityNot monotonic
2024-05-11T16:02:32.755991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
440691.605 2
 
3.4%
442882.199974285 2
 
3.4%
440761.455 2
 
3.4%
442039.43556347 2
 
3.4%
442643.16392201 1
 
1.7%
441098.505617348 1
 
1.7%
445638.730842687 1
 
1.7%
441927.084557832 1
 
1.7%
442807.98430926 1
 
1.7%
442801.212332083 1
 
1.7%
Other values (43) 43
74.1%
ValueCountFrequency (%)
438313.0 1
1.7%
440014.994729553 1
1.7%
440039.336541313 1
1.7%
440691.605 2
3.4%
440752.365 1
1.7%
440761.455 2
3.4%
440827.988297133 1
1.7%
440890.987800758 1
1.7%
441019.955686197 1
1.7%
441098.505617348 1
1.7%
ValueCountFrequency (%)
445638.730842687 1
1.7%
445467.010748411 1
1.7%
445284.658078624 1
1.7%
445266.678558749 1
1.7%
443613.496124765 1
1.7%
443400.589870438 1
1.7%
443213.76752473 1
1.7%
443096.438938096 1
1.7%
442995.810741654 1
1.7%
442882.199974285 2
3.4%

업무구분
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
31
46 
<NA>
12 

Length

Max length4
Median length2
Mean length2.4137931
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
31 46
79.3%
<NA> 12
 
20.7%

Length

2024-05-11T16:02:32.954302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:33.100464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 46
79.3%
na 12
 
20.7%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

건축물연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
54 
0
 
4

Length

Max length4
Median length4
Mean length3.7931034
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> 54
93.1%
0 4
 
6.9%

Length

2024-05-11T16:02:33.280010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:33.437326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
93.1%
0 4
 
6.9%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

휴업폐지사유
Text

MISSING 

Distinct22
Distinct (%)75.9%
Missing29
Missing (%)50.0%
Memory size596.0 B
2024-05-11T16:02:33.684096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length21
Mean length11.37931
Min length2

Characters and Unicode

Total characters330
Distinct characters91
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)65.5%

Sample

1st row사업장이전
2nd row폐업
3rd row시설물멸실로 직권폐업
4th row사업부진
5th row■ 소재지 변경 - 서초구 방배2동790-1→관악구 청림3길 9, 501호(봉천동,그린빌딩)
ValueCountFrequency (%)
폐업 7
 
10.3%
직권폐업 4
 
5.9%
영업부진 4
 
5.9%
시설물멸실로 4
 
5.9%
사업장이전 2
 
2.9%
이전 2
 
2.9%
서초구 2
 
2.9%
→ 1
 
1.5%
차원으로 1
 
1.5%
저수조청소업 1
 
1.5%
Other values (40) 40
58.8%
2024-05-11T16:02:34.203223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
12.1%
업 31
 
9.4%
폐 17
 
5.2%
전 10
 
3.0%
로 9
 
2.7%
영 9
 
2.7%
사 9
 
2.7%
이 8
 
2.4%
장 7
 
2.1%
동 7
 
2.1%
Other values (81) 183
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
73.6%
Space Separator 40
 
12.1%
Decimal Number 27
 
8.2%
Other Punctuation 6
 
1.8%
Open Punctuation 4
 
1.2%
Dash Punctuation 4
 
1.2%
Close Punctuation 3
 
0.9%
Math Symbol 2
 
0.6%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 31
 
12.8%
폐 17
 
7.0%
전 10
 
4.1%
로 9
 
3.7%
영 9
 
3.7%
사 9
 
3.7%
이 8
 
3.3%
장 7
 
2.9%
동 7
 
2.9%
구 7
 
2.9%
Other values (62) 129
53.1%
Decimal Number
ValueCountFrequency (%)
2 5
18.5%
1 4
14.8%
0 4
14.8%
3 3
11.1%
6 3
11.1%
4 2
 
7.4%
7 2
 
7.4%
9 2
 
7.4%
8 1
 
3.7%
5 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
. 2
33.3%
: 1
 
16.7%
Space Separator
ValueCountFrequency (%)
40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
→ 2
100.0%
Other Symbol
ValueCountFrequency (%)
■ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
73.6%
Common 87
 
26.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 31
 
12.8%
폐 17
 
7.0%
전 10
 
4.1%
로 9
 
3.7%
영 9
 
3.7%
사 9
 
3.7%
이 8
 
3.3%
장 7
 
2.9%
동 7
 
2.9%
구 7
 
2.9%
Other values (62) 129
53.1%
Common
ValueCountFrequency (%)
40
46.0%
2 5
 
5.7%
1 4
 
4.6%
( 4
 
4.6%
0 4
 
4.6%
- 4
 
4.6%
, 3
 
3.4%
3 3
 
3.4%
6 3
 
3.4%
) 3
 
3.4%
Other values (9) 14
 
16.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
73.6%
ASCII 84
 
25.5%
Arrows 2
 
0.6%
Geometric Shapes 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
47.6%
2 5
 
6.0%
1 4
 
4.8%
( 4
 
4.8%
0 4
 
4.8%
- 4
 
4.8%
, 3
 
3.6%
3 3
 
3.6%
6 3
 
3.6%
) 3
 
3.6%
Other values (7) 11
 
13.1%
Hangul
ValueCountFrequency (%)
업 31
 
12.8%
폐 17
 
7.0%
전 10
 
4.1%
로 9
 
3.7%
영 9
 
3.7%
사 9
 
3.7%
이 8
 
3.3%
장 7
 
2.9%
동 7
 
2.9%
구 7
 
2.9%
Other values (62) 129
53.1%
Arrows
ValueCountFrequency (%)
→ 2
100.0%
Geometric Shapes
ValueCountFrequency (%)
■ 1
100.0%

업무구분명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
저수조청소업
46 
<NA>
12 

Length

Max length6
Median length6
Mean length5.5862069
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 46
79.3%
<NA> 12
 
20.7%

Length

2024-05-11T16:02:34.472086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T16:02:34.623648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 46
79.3%
na 12
 
20.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
0321000032100003120020000120140416<NA>3폐업2폐업20140416<NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 771-1서울특별시 서초구 방배로43길 5 (방배동)<NA>(주)현대환경산업2015-01-05 21:08:34I2018-08-31 23:59:59.0<NA>198830.184371443613.49612531<NA><NA><NA><NA><NA>사업장이전저수조청소업
1321000032100003120030000120070511<NA>3폐업2폐업<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 염곡동 85-1<NA><NA>(주)큐원2015-01-05 21:08:34I2018-08-31 23:59:59.0<NA>204347.957206440014.9947331<NA><NA><NA><NA><NA>폐업저수조청소업
2321000032100003120030000220060919<NA>3폐업2폐업<NA><NA><NA><NA>525-8501<NA><NA>서울특별시 서초구 서초동 1604-7 동림빌딩(지상1층)<NA><NA>대청안전산업주식회사2015-01-05 21:08:34I2018-08-31 23:59:59.0<NA>201688.298288442743.08765931<NA><NA><NA><NA><NA>시설물멸실로 직권폐업저수조청소업
3321000032100003120030000320110218<NA>1영업/정상11정상<NA><NA><NA><NA>02-577-4217<NA><NA>서울특별시 서초구 양재동 243-8서울특별시 서초구 강남대로18길 15-12, 1층 (양재동)6778(주)크린존2021-02-26 16:02:19U2021-02-28 02:40:00.0<NA>203458.775441140.7931<NA><NA><NA><NA><NA><NA>저수조청소업
4321000032100003120030000420031205<NA>3폐업2폐업20031205<NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 318-4<NA><NA>(주)세원환경2018-08-02 14:02:15I2018-08-31 23:59:59.0<NA>203511.499488440890.98780131<NA><NA><NA><NA><NA><NA>저수조청소업
5321000032100003120030000520121228<NA>3폐업2폐업20121228<NA><NA><NA>578-5511<NA><NA>서울특별시 서초구 양재동 17-34<NA><NA>(주)청신환경2015-01-05 21:08:34I2018-08-31 23:59:59.0<NA>203456.815669442105.28978131<NA><NA><NA><NA><NA>사업부진저수조청소업
6321000032100003120040000120160509<NA>4취소/말소/만료/정지/중지4폐쇄20160509<NA><NA><NA>503-0203-4<NA><NA>서울특별시 서초구 방배동 437-30<NA><NA>푸른환경개발2016-05-12 09:53:31I2018-08-31 23:59:59.0<NA>198449.835091442227.8531731<NA><NA><NA><NA><NA>■ 소재지 변경 - 서초구 방배2동790-1→관악구 청림3길 9, 501호(봉천동,그린빌딩)저수조청소업
7321000032100003120040000320060919<NA>3폐업2폐업<NA><NA><NA><NA>571-6906<NA><NA>서울특별시 서초구 양재동 265-16 성도빌딩 307호<NA><NA>해아건걸(주)2015-01-05 21:08:34I2018-08-31 23:59:59.0<NA>203802.844702441337.14862531<NA><NA><NA><NA><NA>시설물멸실로 직권폐업저수조청소업
8321000032100003120040000420070507<NA>3폐업2폐업<NA><NA><NA><NA>572-6568<NA><NA>서울특별시 서초구 양재동 255-6<NA><NA>(주)제일위생개발2015-01-05 21:08:34I2018-08-31 23:59:59.0<NA>203720.065441266.78531<NA><NA><NA><NA><NA>폐업저수조청소업
9321000032100003120040000520090824<NA>1영업/정상11정상<NA><NA><NA><NA>3474-5030<NA><NA>서울특별시 서초구 방배동 1038 효령(아) 상가동 1층 12호, 13호서울특별시 서초구 효령로 1038 (방배동)<NA>현대크린테크2021-11-09 10:11:54U2021-11-11 02:40:00.0<NA>199390.558095441930.41328631<NA>0<NA><NA><NA><NA>저수조청소업
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
48321000032100003120180000120180717<NA>3폐업2폐업20200313<NA><NA><NA>02-597-3104<NA><NA>서울특별시 서초구 서초동 1342-13 승산빌딩서울특별시 서초구 서운로11길 28, 승산빌딩 101동 3층 306호 (서초동)6727대실테크(주)2020-03-18 16:22:10U2020-03-20 02:40:00.0<NA>202312.225877442826.88267131<NA><NA><NA><NA><NA>사업 경영 악화저수조청소업
49321000032100003120190000120010929<NA>1영업/정상11정상<NA><NA><NA><NA>02-572-1811<NA><NA>서울특별시 서초구 양재동 87-2 원궁빌딩서울특별시 서초구 양재천로 147-11, 원궁빌딩 (양재동)6746공영방제공업(주)2022-10-14 13:41:22U2021-10-30 23:06:00.0<NA>203686.431699441984.786128<NA><NA><NA><NA><NA><NA><NA><NA>
50321000032100003120200000120200113<NA>3폐업2폐업20211119<NA><NA><NA>02-6933-0102<NA><NA>서울특별시 서초구 방배동 537-59 대양빌딩서울특별시 서초구 효령로 54, 대양빌딩 202호 (방배동)6697지우인포텍(주)2021-11-23 17:53:31U2021-11-25 02:40:00.0<NA>199083.731558441854.51428231<NA>0<NA><NA><NA>개인사정저수조청소업
5132100003210000312020000022020-12-30<NA>1영업/정상11정상<NA><NA><NA><NA>02-597-3105<NA><NA>서울특별시 서초구 방배동 ***-**서울특별시 서초구 청두곶*길 *, ***호 (방배동)6678(주)대실2023-02-08 11:06:14U2022-12-01 23:00:00.0<NA>198651.465214442039.435563<NA><NA><NA><NA><NA><NA><NA><NA>
5232100003210000312020000032020-12-30<NA>1영업/정상11정상<NA><NA><NA><NA>02-597-3105<NA><NA>서울특별시 서초구 방배동 ***-**서울특별시 서초구 청두곶*길 * (방배동)6678(주)대실2023-02-06 10:17:08U2022-12-02 00:08:00.0<NA>198651.465214442039.435563<NA><NA><NA><NA><NA><NA><NA><NA>
53321000032100003120210000220210302<NA>3폐업2폐업20230117<NA><NA><NA>02-525-0470<NA><NA>서울특별시 서초구 방배동 ***-** 이수빌딩서울특별시 서초구 효령로 **, 이수빌딩 *층 ***호 (방배동)6689주식회사 서원개발2023-01-17 16:50:03U2022-11-30 23:09:00.0<NA>199147.132644441934.687136<NA><NA><NA><NA><NA><NA><NA><NA>
5432100003210000312022000012022-03-18<NA>1영업/정상11정상<NA><NA><NA><NA>02-777-1882<NA><NA>서울특별시 서초구 서초동 ****-** 수정빌라서울특별시 서초구 반포대로**길 **, 수정빌라 *층 (서초동)6657(주)테크프러스2023-08-07 17:39:48U2022-12-08 00:09:00.0<NA>200645.565518442803.777132<NA><NA><NA><NA><NA><NA><NA><NA>
55321000032100003120220000220220429<NA>1영업/정상11정상<NA><NA><NA><NA>1899-1909<NA><NA>서울특별시 서초구 서초동 1439-2서울특별시 서초구 효령로 346, HDC랩스타워 (서초동)6722에이치디씨랩스(주)2022-06-17 09:43:36U2021-12-05 23:09:00.0<NA>201864.087555442677.761035<NA><NA><NA><NA><NA><NA><NA><NA>
56321000032100003120220000320220617<NA>1영업/정상11정상<NA><NA><NA><NA>02-2188-8768<NA><NA>서울특별시 서초구 서초동 1424-8 동명빌딩서울특별시 서초구 남부순환로 2471, 동명빌딩 7층 (서초동)6725(주)동명엔터프라이즈2022-06-17 16:33:50I2021-12-05 23:09:00.0<NA>201762.897693442308.81457<NA><NA><NA><NA><NA><NA><NA><NA>
5732100003210000312023000012023-02-14<NA>1영업/정상11정상<NA><NA><NA><NA>02-577-4740<NA><NA>서울특별시 서초구 염곡동 ***-*서울특별시 서초구 염곡말길 ** (염곡동)6793(주)아이엠유이엔지2023-02-14 12:40:40I2022-12-01 23:06:00.0<NA>204648.061333440039.336541<NA><NA><NA><NA><NA><NA><NA><NA>