Overview

Dataset statistics

Number of variables33
Number of observations69
Missing cells908
Missing cells (%)39.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.3 KiB
Average record size in memory285.9 B

Variable types

Categorical10
Numeric4
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-19501/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건축물연면적 is highly imbalanced (68.1%)Imbalance
인허가취소일자 has 69 (100.0%) missing valuesMissing
폐업일자 has 40 (58.0%) missing valuesMissing
휴업시작일자 has 69 (100.0%) missing valuesMissing
휴업종료일자 has 69 (100.0%) missing valuesMissing
재개업일자 has 69 (100.0%) missing valuesMissing
전화번호 has 9 (13.0%) missing valuesMissing
소재지면적 has 69 (100.0%) missing valuesMissing
소재지우편번호 has 69 (100.0%) missing valuesMissing
지번주소 has 2 (2.9%) missing valuesMissing
도로명주소 has 4 (5.8%) missing valuesMissing
도로명우편번호 has 52 (75.4%) missing valuesMissing
업태구분명 has 69 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.9%) missing valuesMissing
좌표정보(Y) has 2 (2.9%) missing valuesMissing
건축물명 has 69 (100.0%) missing valuesMissing
건축물상태명 has 69 (100.0%) missing valuesMissing
청소대상시작일자 has 69 (100.0%) missing valuesMissing
청소대상종료일자 has 69 (100.0%) missing valuesMissing
휴업폐지사유 has 38 (55.1%) 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 started2024-05-18 00:41:58.899831
Analysis finished2024-05-18 00:42:00.053529
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size684.0 B
3240000
69 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 69
100.0%

Length

2024-05-18T09:42:00.340446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:42:00.710748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 69
100.0%

관리번호
Real number (ℝ)

UNIQUE 

Distinct69
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2400003 × 1017
Minimum3.2400003 × 1017
Maximum3.2400003 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-18T09:42:01.083834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.2400003 × 1017
5-th percentile3.2400003 × 1017
Q13.2400003 × 1017
median3.2400003 × 1017
Q33.2400003 × 1017
95-th percentile3.2400003 × 1017
Maximum3.2400003 × 1017
Range2100000
Interquartile range (IQR)1000000

Descriptive statistics

Standard deviation625587.88
Coefficient of variation (CV)1.9308266 × 10-12
Kurtosis-0.57357541
Mean3.2400003 × 1017
Median Absolute Deviation (MAD)400000
Skewness0.81141012
Sum3.9092581 × 1018
Variance3.9136019 × 1011
MonotonicityStrictly increasing
2024-05-18T09:42:01.640123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
324000031200300001 1
 
1.4%
324000031201000002 1
 
1.4%
324000031201300001 1
 
1.4%
324000031201200002 1
 
1.4%
324000031201200001 1
 
1.4%
324000031201100003 1
 
1.4%
324000031201100002 1
 
1.4%
324000031201100001 1
 
1.4%
324000031201000001 1
 
1.4%
324000031201300003 1
 
1.4%
Other values (59) 59
85.5%
ValueCountFrequency (%)
324000031200300001 1
1.4%
324000031200300002 1
1.4%
324000031200300003 1
1.4%
324000031200300004 1
1.4%
324000031200300005 1
1.4%
324000031200300006 1
1.4%
324000031200300007 1
1.4%
324000031200300008 1
1.4%
324000031200300009 1
1.4%
324000031200300010 1
1.4%
ValueCountFrequency (%)
324000031202400001 1
1.4%
324000031202200002 1
1.4%
324000031202200001 1
1.4%
324000031202000003 1
1.4%
324000031202000002 1
1.4%
324000031202000001 1
1.4%
324000031201900001 1
1.4%
324000031201800003 1
1.4%
324000031201800002 1
1.4%
324000031201800001 1
1.4%

인허가일자
Date

Distinct67
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum1997-12-05 00:00:00
Maximum2024-02-05 00:00:00
2024-05-18T09:42:02.103639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:02.567385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
1
35 
3
33 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 35
50.7%
3 33
47.8%
4 1
 
1.4%

Length

2024-05-18T09:42:03.034055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:42:03.432460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 35
50.7%
3 33
47.8%
4 1
 
1.4%

영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
영업/정상
35 
폐업
33 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.6956522
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 35
50.7%
폐업 33
47.8%
취소/말소/만료/정지/중지 1
 
1.4%

Length

2024-05-18T09:42:03.924118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:42:04.455197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 35
50.7%
폐업 33
47.8%
취소/말소/만료/정지/중지 1
 
1.4%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
11
35 
2
33 
4
 
1

Length

Max length2
Median length2
Mean length1.5072464
Min length1

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
11 35
50.7%
2 33
47.8%
4 1
 
1.4%

Length

2024-05-18T09:42:04.892184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:42:05.206221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11 35
50.7%
2 33
47.8%
4 1
 
1.4%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size684.0 B
정상
35 
폐업
33 
폐쇄
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
정상 35
50.7%
폐업 33
47.8%
폐쇄 1
 
1.4%

Length

2024-05-18T09:42:05.593909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:42:05.938176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 35
50.7%
폐업 33
47.8%
폐쇄 1
 
1.4%

폐업일자
Date

MISSING 

Distinct29
Distinct (%)100.0%
Missing40
Missing (%)58.0%
Memory size684.0 B
Minimum2008-11-06 00:00:00
Maximum2023-02-15 00:00:00
2024-05-18T09:42:06.392071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:06.971551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

전화번호
Text

MISSING 

Distinct59
Distinct (%)98.3%
Missing9
Missing (%)13.0%
Memory size684.0 B
2024-05-18T09:42:07.658499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length9.7833333
Min length8

Characters and Unicode

Total characters587
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)96.7%

Sample

1st row471-9756
2nd row486-1190
3rd row479-1125
4th row488-5722
5th row478-4971
ValueCountFrequency (%)
02-479-3664 2
 
3.3%
02-488-4941 1
 
1.7%
471-9756 1
 
1.7%
02-476-4446 1
 
1.7%
427-3464 1
 
1.7%
883-5951 1
 
1.7%
426-1231 1
 
1.7%
430-7114 1
 
1.7%
478-8559 1
 
1.7%
2666-8551 1
 
1.7%
Other values (49) 49
81.7%
2024-05-18T09:42:09.124223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 98
16.7%
- 84
14.3%
0 68
11.6%
2 61
10.4%
7 46
7.8%
8 46
7.8%
6 45
7.7%
1 45
7.7%
3 35
 
6.0%
5 30
 
5.1%
Other values (4) 29
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 497
84.7%
Dash Punctuation 84
 
14.3%
Other Punctuation 3
 
0.5%
Close Punctuation 2
 
0.3%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 98
19.7%
0 68
13.7%
2 61
12.3%
7 46
9.3%
8 46
9.3%
6 45
9.1%
1 45
9.1%
3 35
 
7.0%
5 30
 
6.0%
9 23
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 587
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 98
16.7%
- 84
14.3%
0 68
11.6%
2 61
10.4%
7 46
7.8%
8 46
7.8%
6 45
7.7%
1 45
7.7%
3 35
 
6.0%
5 30
 
5.1%
Other values (4) 29
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 587
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 98
16.7%
- 84
14.3%
0 68
11.6%
2 61
10.4%
7 46
7.8%
8 46
7.8%
6 45
7.7%
1 45
7.7%
3 35
 
6.0%
5 30
 
5.1%
Other values (4) 29
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

지번주소
Text

MISSING 

Distinct65
Distinct (%)97.0%
Missing2
Missing (%)2.9%
Memory size684.0 B
2024-05-18T09:42:10.060996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length23.80597
Min length17

Characters and Unicode

Total characters1595
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

Unique63 ?
Unique (%)94.0%

Sample

1st row서울특별시 강동구 길동 348-5 3층
2nd row서울특별시 강동구 길동 220-3
3rd row서울특별시 강동구 길동 260-5
4th row서울특별시 강동구 길동 339-4
5th row서울특별시 강동구 천호동 451-20 오피스텔트레벨 1420호
ValueCountFrequency (%)
서울특별시 67
20.6%
강동구 67
20.6%
천호동 21
 
6.4%
16
 
4.9%
성내동 14
 
4.3%
길동 12
 
3.7%
명일동 7
 
2.1%
고덕동 6
 
1.8%
호 6
 
1.8%
2층 5
 
1.5%
Other values (86) 105
32.2%
2024-05-18T09:42:11.461040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
19.4%
동 136
 
8.5%
* 92
 
5.8%
강 69
 
4.3%
구 68
 
4.3%
시 68
 
4.3%
서 67
 
4.2%
울 67
 
4.2%
별 67
 
4.2%
특 67
 
4.2%
Other values (79) 584
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 874
54.8%
Space Separator 310
 
19.4%
Decimal Number 255
 
16.0%
Other Punctuation 92
 
5.8%
Dash Punctuation 59
 
3.7%
Uppercase Letter 3
 
0.2%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 136
15.6%
강 69
 
7.9%
구 68
 
7.8%
시 68
 
7.8%
서 67
 
7.7%
울 67
 
7.7%
별 67
 
7.7%
특 67
 
7.7%
호 42
 
4.8%
천 22
 
2.5%
Other values (63) 201
23.0%
Decimal Number
ValueCountFrequency (%)
3 47
18.4%
1 39
15.3%
4 35
13.7%
5 33
12.9%
0 29
11.4%
2 25
9.8%
6 14
 
5.5%
8 13
 
5.1%
9 12
 
4.7%
7 8
 
3.1%
Space Separator
ValueCountFrequency (%)
310
100.0%
Other Punctuation
ValueCountFrequency (%)
* 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 874
54.8%
Common 718
45.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 136
15.6%
강 69
 
7.9%
구 68
 
7.8%
시 68
 
7.8%
서 67
 
7.7%
울 67
 
7.7%
별 67
 
7.7%
특 67
 
7.7%
호 42
 
4.8%
천 22
 
2.5%
Other values (63) 201
23.0%
Common
ValueCountFrequency (%)
310
43.2%
* 92
 
12.8%
- 59
 
8.2%
3 47
 
6.5%
1 39
 
5.4%
4 35
 
4.9%
5 33
 
4.6%
0 29
 
4.0%
2 25
 
3.5%
6 14
 
1.9%
Other values (5) 35
 
4.9%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 874
54.8%
ASCII 721
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
43.0%
* 92
 
12.8%
- 59
 
8.2%
3 47
 
6.5%
1 39
 
5.4%
4 35
 
4.9%
5 33
 
4.6%
0 29
 
4.0%
2 25
 
3.5%
6 14
 
1.9%
Other values (6) 38
 
5.3%
Hangul
ValueCountFrequency (%)
동 136
15.6%
강 69
 
7.9%
구 68
 
7.8%
시 68
 
7.8%
서 67
 
7.7%
울 67
 
7.7%
별 67
 
7.7%
특 67
 
7.7%
호 42
 
4.8%
천 22
 
2.5%
Other values (63) 201
23.0%

도로명주소
Text

MISSING 

Distinct63
Distinct (%)96.9%
Missing4
Missing (%)5.8%
Memory size684.0 B
2024-05-18T09:42:12.278460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length30.461538
Min length22

Characters and Unicode

Total characters1980
Distinct characters104
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

Unique61 ?
Unique (%)93.8%

Sample

1st row서울특별시 강동구 양재대로 1508 (길동,3층)
2nd row서울특별시 강동구 천중로49길 32-17 (길동)
3rd row서울특별시 강동구 천호대로 1057, 1420호 (천호동,오피스텔트레벨)
4th row서울특별시 강동구 양재대로 **** (길동,***호)
5th row서울특별시 강동구 양재대로 1464 (길동)
ValueCountFrequency (%)
서울특별시 65
 
17.4%
강동구 65
 
17.4%
16
 
4.3%
천호동 12
 
3.2%
성내동 11
 
2.9%
호 9
 
2.4%
길동 7
 
1.9%
명일동 7
 
1.9%
층 5
 
1.3%
올림픽로 5
 
1.3%
Other values (130) 172
46.0%
2024-05-18T09:42:13.490934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
329
 
16.6%
동 136
 
6.9%
* 100
 
5.1%
구 72
 
3.6%
강 68
 
3.4%
시 66
 
3.3%
서 65
 
3.3%
( 65
 
3.3%
) 65
 
3.3%
울 65
 
3.3%
Other values (94) 949
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1132
57.2%
Space Separator 329
 
16.6%
Decimal Number 233
 
11.8%
Other Punctuation 148
 
7.5%
Open Punctuation 65
 
3.3%
Close Punctuation 65
 
3.3%
Dash Punctuation 5
 
0.3%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 136
 
12.0%
구 72
 
6.4%
강 68
 
6.0%
시 66
 
5.8%
서 65
 
5.7%
울 65
 
5.7%
별 65
 
5.7%
특 65
 
5.7%
로 63
 
5.6%
호 55
 
4.9%
Other values (77) 412
36.4%
Decimal Number
ValueCountFrequency (%)
1 44
18.9%
3 38
16.3%
2 29
12.4%
0 23
9.9%
4 20
8.6%
6 19
8.2%
5 18
7.7%
7 16
 
6.9%
8 14
 
6.0%
9 12
 
5.2%
Other Punctuation
ValueCountFrequency (%)
* 100
67.6%
, 48
32.4%
Space Separator
ValueCountFrequency (%)
329
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1132
57.2%
Common 845
42.7%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 136
 
12.0%
구 72
 
6.4%
강 68
 
6.0%
시 66
 
5.8%
서 65
 
5.7%
울 65
 
5.7%
별 65
 
5.7%
특 65
 
5.7%
로 63
 
5.6%
호 55
 
4.9%
Other values (77) 412
36.4%
Common
ValueCountFrequency (%)
329
38.9%
* 100
 
11.8%
( 65
 
7.7%
) 65
 
7.7%
, 48
 
5.7%
1 44
 
5.2%
3 38
 
4.5%
2 29
 
3.4%
0 23
 
2.7%
4 20
 
2.4%
Other values (6) 84
 
9.9%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1132
57.2%
ASCII 848
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
329
38.8%
* 100
 
11.8%
( 65
 
7.7%
) 65
 
7.7%
, 48
 
5.7%
1 44
 
5.2%
3 38
 
4.5%
2 29
 
3.4%
0 23
 
2.7%
4 20
 
2.4%
Other values (7) 87
 
10.3%
Hangul
ValueCountFrequency (%)
동 136
 
12.0%
구 72
 
6.4%
강 68
 
6.0%
시 66
 
5.8%
서 65
 
5.7%
울 65
 
5.7%
별 65
 
5.7%
특 65
 
5.7%
로 63
 
5.6%
호 55
 
4.9%
Other values (77) 412
36.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)82.4%
Missing52
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean5319.6471
Minimum5227
Maximum5403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-18T09:42:13.986092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5227
5-th percentile5227
Q15257
median5328
Q35372
95-th percentile5399.8
Maximum5403
Range176
Interquartile range (IQR)115

Descriptive statistics

Standard deviation62.391848
Coefficient of variation (CV)0.011728569
Kurtosis-1.4306086
Mean5319.6471
Median Absolute Deviation (MAD)64
Skewness-0.10937133
Sum90434
Variance3892.7426
MonotonicityNot monotonic
2024-05-18T09:42:14.496872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5257 2
 
2.9%
5399 2
 
2.9%
5227 2
 
2.9%
5392 1
 
1.4%
5372 1
 
1.4%
5344 1
 
1.4%
5271 1
 
1.4%
5403 1
 
1.4%
5353 1
 
1.4%
5320 1
 
1.4%
Other values (4) 4
 
5.8%
(Missing) 52
75.4%
ValueCountFrequency (%)
5227 2
2.9%
5251 1
1.4%
5257 2
2.9%
5271 1
1.4%
5296 1
1.4%
5320 1
1.4%
5328 1
1.4%
5338 1
1.4%
5344 1
1.4%
5353 1
1.4%
ValueCountFrequency (%)
5403 1
1.4%
5399 2
2.9%
5392 1
1.4%
5372 1
1.4%
5353 1
1.4%
5344 1
1.4%
5338 1
1.4%
5328 1
1.4%
5320 1
1.4%
5296 1
1.4%

사업장명
Text

Distinct67
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size684.0 B
2024-05-18T09:42:15.113060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.0869565
Min length2

Characters and Unicode

Total characters489
Distinct characters117
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

Unique65 ?
Unique (%)94.2%

Sample

1st row중원개발
2nd row남방환경
3rd row(주)엔가드
4th row대호종합관리(주)
5th row영원실업(주)
ValueCountFrequency (%)
주식회사 6
 
8.0%
원우환경개발 2
 
2.7%
주호산업개발(주 2
 
2.7%
주)주원엔텍 1
 
1.3%
대성이엔브이 1
 
1.3%
청강아이앤씨 1
 
1.3%
주)비츠로코리아 1
 
1.3%
서울도시철도엔지니어링주식회사 1
 
1.3%
태창기업 1
 
1.3%
현대환경개발 1
 
1.3%
Other values (58) 58
77.3%
2024-05-18T09:42:16.124713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 48
 
9.8%
( 33
 
6.7%
) 33
 
6.7%
환 16
 
3.3%
경 16
 
3.3%
사 13
 
2.7%
원 12
 
2.5%
식 12
 
2.5%
스 11
 
2.2%
회 11
 
2.2%
Other values (107) 284
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
85.3%
Open Punctuation 33
 
6.7%
Close Punctuation 33
 
6.7%
Space Separator 6
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 48
 
11.5%
환 16
 
3.8%
경 16
 
3.8%
사 13
 
3.1%
원 12
 
2.9%
식 12
 
2.9%
스 11
 
2.6%
회 11
 
2.6%
개 10
 
2.4%
발 10
 
2.4%
Other values (104) 258
61.9%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 417
85.3%
Common 72
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 48
 
11.5%
환 16
 
3.8%
경 16
 
3.8%
사 13
 
3.1%
원 12
 
2.9%
식 12
 
2.9%
스 11
 
2.6%
회 11
 
2.6%
개 10
 
2.4%
발 10
 
2.4%
Other values (104) 258
61.9%
Common
ValueCountFrequency (%)
( 33
45.8%
) 33
45.8%
6
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
85.3%
ASCII 72
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 48
 
11.5%
환 16
 
3.8%
경 16
 
3.8%
사 13
 
3.1%
원 12
 
2.9%
식 12
 
2.9%
스 11
 
2.6%
회 11
 
2.6%
개 10
 
2.4%
발 10
 
2.4%
Other values (104) 258
61.9%
ASCII
ValueCountFrequency (%)
( 33
45.8%
) 33
45.8%
6
 
8.3%

최종수정일자
Date

Distinct46
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size684.0 B
Minimum2015-01-05 21:05:51
Maximum2024-05-13 16:38:40
2024-05-18T09:42:16.517738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:42:16.901506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
I
35 
U
34 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 35
50.7%
U 34
49.3%

Length

2024-05-18T09:42:17.314418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:42:17.620779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 35
50.7%
u 34
49.3%

데이터갱신일자
Categorical

Distinct29
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size684.0 B
2018-08-31 23:59:59.0
34 
2023-11-30 22:06:00.0
5 
2020-04-22 02:40:00.0
 
2
2022-12-01 22:04:00.0
 
2
2022-01-20 02:40:00.0
 
2
Other values (24)
24 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique24 ?
Unique (%)34.8%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 34
49.3%
2023-11-30 22:06:00.0 5
 
7.2%
2020-04-22 02:40:00.0 2
 
2.9%
2022-12-01 22:04:00.0 2
 
2.9%
2022-01-20 02:40:00.0 2
 
2.9%
2022-12-05 23:06:00.0 1
 
1.4%
2020-11-11 02:40:00.0 1
 
1.4%
2021-02-20 02:40:00.0 1
 
1.4%
2021-10-31 22:07:00.0 1
 
1.4%
2022-12-01 23:08:00.0 1
 
1.4%
Other values (19) 19
27.5%

Length

2024-05-18T09:42:18.084919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 34
24.6%
23:59:59.0 34
24.6%
02:40:00.0 19
13.8%
2023-11-30 6
 
4.3%
22:06:00.0 5
 
3.6%
2023-12-02 3
 
2.2%
2022-12-01 3
 
2.2%
2020-04-22 2
 
1.4%
22:04:00.0 2
 
1.4%
2022-01-20 2
 
1.4%
Other values (27) 28
20.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)88.1%
Missing2
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean212023.13
Minimum210752.56
Maximum214841.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-18T09:42:18.631500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210752.56
5-th percentile210813.18
Q1211188.59
median211917.8
Q3212537.68
95-th percentile213682.82
Maximum214841.94
Range4089.3813
Interquartile range (IQR)1349.0871

Descriptive statistics

Standard deviation975.52043
Coefficient of variation (CV)0.0046010094
Kurtosis0.47508072
Mean212023.13
Median Absolute Deviation (MAD)711.26211
Skewness0.84698817
Sum14205550
Variance951640.11
MonotonicityNot monotonic
2024-05-18T09:42:19.208284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211170.641903552 2
 
2.9%
211206.540974151 2
 
2.9%
211746.99452923 2
 
2.9%
212706.795162194 2
 
2.9%
210783.436996534 2
 
2.9%
213323.87085992 2
 
2.9%
211650.564418133 2
 
2.9%
211917.803086609 2
 
2.9%
212491.9029655 1
 
1.4%
213348.363441883 1
 
1.4%
Other values (49) 49
71.0%
(Missing) 2
 
2.9%
ValueCountFrequency (%)
210752.556866855 1
1.4%
210783.436996534 2
2.9%
210791.939437755 1
1.4%
210862.735292974 1
1.4%
210907.977123377 1
1.4%
210908.117519817 1
1.4%
210930.095135511 1
1.4%
210931.005191598 1
1.4%
210950.549691071 1
1.4%
210970.75707265 1
1.4%
ValueCountFrequency (%)
214841.93813576 1
1.4%
214787.194258691 1
1.4%
214051.106419485 1
1.4%
213751.225969745 1
1.4%
213523.206935501 1
1.4%
213508.156309662 1
1.4%
213377.965744485 1
1.4%
213348.363441883 1
1.4%
213323.87085992 2
2.9%
212706.795162194 2
2.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)88.1%
Missing2
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean448853.98
Minimum447191.45
Maximum451689.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size753.0 B
2024-05-18T09:42:19.857959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447191.45
5-th percentile447382.26
Q1448155.89
median448670.05
Q3449497.33
95-th percentile450914.71
Maximum451689.51
Range4498.0607
Interquartile range (IQR)1341.4377

Descriptive statistics

Standard deviation1048.9623
Coefficient of variation (CV)0.002336979
Kurtosis-0.14431297
Mean448853.98
Median Absolute Deviation (MAD)698.89031
Skewness0.56939063
Sum30073216
Variance1100322
MonotonicityNot monotonic
2024-05-18T09:42:20.428342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449495.309432283 2
 
2.9%
448438.130467194 2
 
2.9%
448470.397361994 2
 
2.9%
449694.965400189 2
 
2.9%
447382.256830298 2
 
2.9%
450919.0652351 2
 
2.9%
447971.158000638 2
 
2.9%
448478.164463201 2
 
2.9%
447730.819794194 1
 
1.4%
450752.297759244 1
 
1.4%
Other values (49) 49
71.0%
(Missing) 2
 
2.9%
ValueCountFrequency (%)
447191.452672555 1
1.4%
447205.540749972 1
1.4%
447294.872900215 1
1.4%
447382.256830298 2
2.9%
447393.211163433 1
1.4%
447518.233667973 1
1.4%
447600.696370667 1
1.4%
447607.29127843 1
1.4%
447730.819794194 1
1.4%
447750.103413104 1
1.4%
ValueCountFrequency (%)
451689.513375361 1
1.4%
450991.031680959 1
1.4%
450919.0652351 2
2.9%
450904.53424004 1
1.4%
450752.297759244 1
1.4%
450271.23947218 1
1.4%
450079.358083799 1
1.4%
450030.261330139 1
1.4%
449996.534365819 1
1.4%
449929.432506067 1
1.4%

업무구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
31
53 
<NA>
16 

Length

Max length4
Median length2
Mean length2.4637681
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
31 53
76.8%
<NA> 16
 
23.2%

Length

2024-05-18T09:42:21.012080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:42:21.399685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
31 53
76.8%
na 16
 
23.2%

건축물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

건축물연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
<NA>
65 
0
 
4

Length

Max length4
Median length4
Mean length3.826087
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> 65
94.2%
0 4
 
5.8%

Length

2024-05-18T09:42:22.023185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:42:22.411001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
94.2%
0 4
 
5.8%

건축물상태명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

청소대상시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

청소대상종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing69
Missing (%)100.0%
Memory size753.0 B

휴업폐지사유
Text

MISSING 

Distinct29
Distinct (%)93.5%
Missing38
Missing (%)55.1%
Memory size684.0 B
2024-05-18T09:42:22.893468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length47
Mean length14.903226
Min length4

Characters and Unicode

Total characters462
Distinct characters145
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)87.1%

Sample

1st row사무실이전
2nd row업종변경
3rd row사업계획 및 경영계획에 따라 폐업
4th row경영상 어려움(폐업신고 위반으로 해당 대표가 재개업할때 과태료 50만원 부과 해야함)
5th row영업부진
ValueCountFrequency (%)
이전 4
 
4.2%
4
 
4.2%
사업장 3
 
3.2%
영업장 3
 
3.2%
폐업 2
 
2.1%
이전(관외 2
 
2.1%
영업소 2
 
2.1%
사업부진 2
 
2.1%
또는 1
 
1.1%
마포세무서에서 1
 
1.1%
Other values (71) 71
74.7%
2024-05-18T09:42:23.903093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
 
14.5%
업 28
 
6.1%
이 18
 
3.9%
전 16
 
3.5%
( 15
 
3.2%
) 15
 
3.2%
영 13
 
2.8%
사 12
 
2.6%
장 9
 
1.9%
구 9
 
1.9%
Other values (135) 260
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
73.4%
Space Separator 67
 
14.5%
Open Punctuation 15
 
3.2%
Close Punctuation 15
 
3.2%
Decimal Number 15
 
3.2%
Dash Punctuation 5
 
1.1%
Other Punctuation 4
 
0.9%
Math Symbol 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 28
 
8.3%
이 18
 
5.3%
전 16
 
4.7%
영 13
 
3.8%
사 12
 
3.5%
장 9
 
2.7%
구 9
 
2.7%
경 7
 
2.1%
부 6
 
1.8%
폐 6
 
1.8%
Other values (123) 215
63.4%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
5 3
20.0%
0 3
20.0%
2 2
 
13.3%
7 1
 
6.7%
8 1
 
6.7%
Space Separator
ValueCountFrequency (%)
67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Math Symbol
ValueCountFrequency (%)
> 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
73.4%
Common 123
 
26.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 28
 
8.3%
이 18
 
5.3%
전 16
 
4.7%
영 13
 
3.8%
사 12
 
3.5%
장 9
 
2.7%
구 9
 
2.7%
경 7
 
2.1%
부 6
 
1.8%
폐 6
 
1.8%
Other values (123) 215
63.4%
Common
ValueCountFrequency (%)
67
54.5%
( 15
 
12.2%
) 15
 
12.2%
1 5
 
4.1%
- 5
 
4.1%
. 4
 
3.3%
5 3
 
2.4%
0 3
 
2.4%
> 2
 
1.6%
2 2
 
1.6%
Other values (2) 2
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
73.4%
ASCII 123
 
26.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
54.5%
( 15
 
12.2%
) 15
 
12.2%
1 5
 
4.1%
- 5
 
4.1%
. 4
 
3.3%
5 3
 
2.4%
0 3
 
2.4%
> 2
 
1.6%
2 2
 
1.6%
Other values (2) 2
 
1.6%
Hangul
ValueCountFrequency (%)
업 28
 
8.3%
이 18
 
5.3%
전 16
 
4.7%
영 13
 
3.8%
사 12
 
3.5%
장 9
 
2.7%
구 9
 
2.7%
경 7
 
2.1%
부 6
 
1.8%
폐 6
 
1.8%
Other values (123) 215
63.4%

업무구분명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size684.0 B
저수조청소업
53 
<NA>
16 

Length

Max length6
Median length6
Mean length5.5362319
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
저수조청소업 53
76.8%
<NA> 16
 
23.2%

Length

2024-05-18T09:42:24.378576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T09:42:24.840272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
저수조청소업 53
76.8%
na 16
 
23.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
0324000032400003120030000120111230<NA>3폐업2폐업20111230<NA><NA><NA>471-9756<NA><NA>서울특별시 강동구 길동 348-5 3층서울특별시 강동구 양재대로 1508 (길동,3층)<NA>중원개발2015-01-05 21:05:51I2018-08-31 23:59:59.0<NA>212411.971864448670.04831431<NA><NA><NA><NA><NA>사무실이전저수조청소업
1324000032400003120030000220000721<NA>1영업/정상11정상<NA><NA><NA><NA>486-1190<NA><NA>서울특별시 강동구 길동 220-3<NA><NA>남방환경2015-01-05 21:05:51I2018-08-31 23:59:59.0<NA><NA><NA>31<NA><NA><NA><NA><NA><NA>저수조청소업
2324000032400003120030000320081106<NA>3폐업2폐업20081106<NA><NA><NA>479-1125<NA><NA>서울특별시 강동구 길동 260-5<NA><NA>(주)엔가드2015-01-05 21:05:51I2018-08-31 23:59:59.0<NA><NA><NA>31<NA><NA><NA><NA><NA>업종변경저수조청소업
3324000032400003120030000420031112<NA>1영업/정상11정상<NA><NA><NA><NA>488-5722<NA><NA>서울특별시 강동구 길동 339-4서울특별시 강동구 천중로49길 32-17 (길동)<NA>대호종합관리(주)2015-05-26 13:30:16I2018-08-31 23:59:59.0<NA>212676.246219448910.88718131<NA><NA><NA><NA><NA><NA>저수조청소업
4324000032400003120030000520080722<NA>1영업/정상11정상<NA><NA><NA><NA>478-4971<NA><NA>서울특별시 강동구 천호동 451-20 오피스텔트레벨 1420호서울특별시 강동구 천호대로 1057, 1420호 (천호동,오피스텔트레벨)<NA>영원실업(주)2015-01-05 21:05:51I2018-08-31 23:59:59.0<NA>211376.044891448340.16680531<NA><NA><NA><NA><NA><NA>저수조청소업
532400003240000312003000062011-02-24<NA>1영업/정상11정상<NA><NA><NA><NA>488-4070<NA><NA>서울특별시 강동구 길동 ***-* ***호서울특별시 강동구 양재대로 **** (길동,***호)<NA>국제종합공사(주)2023-06-13 17:26:51U2022-12-05 23:06:00.0<NA>212251.603549448345.727351<NA><NA><NA><NA><NA><NA><NA><NA>
6324000032400003120030000720000810<NA>1영업/정상11정상<NA><NA><NA><NA>470-3190<NA><NA>서울특별시 강동구 길동 411-2서울특별시 강동구 양재대로 1464 (길동)<NA>미도환경개발(주)2015-01-05 21:05:51I2018-08-31 23:59:59.0<NA>212290.153666448263.07750931<NA><NA><NA><NA><NA><NA>저수조청소업
7324000032400003120030000819971205<NA>3폐업2폐업20201105<NA><NA><NA>487-4111<NA><NA>서울특별시 강동구 둔촌동 439 지층<NA><NA>(주)세스코2020-11-09 16:14:11U2020-11-11 02:40:00.0<NA>212180.790342447785.96682131<NA><NA><NA><NA><NA>사업계획 및 경영계획에 따라 폐업저수조청소업
8324000032400003120030000919990525<NA>3폐업2폐업20210216<NA><NA><NA>3426-6688,6465-2500<NA><NA>서울특별시 강동구 명일동 333-1 2층서울특별시 강동구 양재대로138길 14 (명일동,2층)<NA>천호위생2021-02-18 09:27:35U2021-02-20 02:40:00.0<NA>212706.795162449694.965431<NA><NA><NA><NA><NA>경영상 어려움(폐업신고 위반으로 해당 대표가 재개업할때 과태료 50만원 부과 해야함)저수조청소업
9324000032400003120030001020071101<NA>1영업/정상11정상<NA><NA><NA><NA>489-2340<NA><NA>서울특별시 강동구 성내동 ***-* 영성빌딩서울특별시 강동구 성내로*길 **-*, 영성빌딩 ***호 (성내동)5392동양환경엔지니어링(주)2022-11-25 16:06:52U2021-10-31 22:07:00.0<NA>210791.939438447607.291278<NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)업무구분건축물명건축물연면적건축물상태명청소대상시작일자청소대상종료일자휴업폐지사유업무구분명
59324000032400003120180000120180307<NA>1영업/정상11정상<NA><NA><NA><NA>02-473-9433<NA><NA>서울특별시 강동구 성내동 551-5 호암빌딩 303호서울특별시 강동구 성내로6길 23, 호암빌딩 3층 303호 (성내동)5399심성건설(주)2022-01-18 15:11:48U2022-01-20 02:40:00.0<NA>210783.436997447382.2568331<NA>0<NA><NA><NA><NA>저수조청소업
6032400003240000312018000022018-10-01<NA>1영업/정상11정상<NA><NA><NA><NA>02-2207-0993<NA><NA>서울특별시 강동구 천호동 ***-* ***호서울특별시 강동구 구천면로**길 **, *층 ***호 (천호동)5320가족환경2024-03-19 09:30:02U2023-12-02 22:01:00.0<NA>211660.488502449403.959898<NA><NA><NA><NA><NA><NA><NA><NA>
61324000032400003120180000320181204<NA>1영업/정상11정상<NA><NA><NA><NA>02-482-5461<NA><NA>서울특별시 강동구 암사동 463-4 까사팔공육 405호서울특별시 강동구 올림픽로 806, 까사팔공육 405호 (암사동)5251(주)빅스톤2021-01-13 09:39:55U2021-01-15 02:40:00.0<NA>211314.304826450079.35808431<NA><NA><NA><NA><NA><NA>저수조청소업
6232400003240000312019000012019-10-28<NA>1영업/정상11정상<NA><NA><NA><NA>02-479-3664<NA><NA>서울특별시 강동구 천호동 ***-* 대우 한강 베네시티 ***호서울특별시 강동구 올림픽로 ***, ***호 (천호동, 대우 한강 베네시티)5328주식회사 대성이엔브이2024-01-24 16:09:40U2023-11-30 22:06:00.0<NA>210970.757073448713.316697<NA><NA><NA><NA><NA><NA><NA><NA>
63324000032400003120200000120200413<NA>1영업/정상11정상<NA><NA><NA><NA>02-483-3065<NA><NA>서울특별시 강동구 성내동 551-5 호암빌딩서울특별시 강동구 성내로6길 23, 호암빌딩 301호 (성내동)5399(주)주원엔텍2021-04-28 11:03:47U2021-04-30 02:40:00.0<NA>210783.436997447382.2568331<NA><NA><NA><NA><NA><NA>저수조청소업
6432400003240000312020000022024-02-05<NA>1영업/정상11정상<NA><NA><NA><NA>02-3394-6820<NA><NA>서울특별시 강동구 고덕동 ***-* 영풍빌딩 B**호서울특별시 강동구 고덕로**길 ***, 영풍빌딩 B**호 (고덕동)5227포스원산업2024-02-05 11:40:09U2023-12-02 00:07:00.0<NA>213323.87086450919.065235<NA><NA><NA><NA><NA><NA><NA><NA>
6532400003240000312020000032020-08-10<NA>1영업/정상11정상<NA><NA><NA><NA>02-468-2167<NA><NA>서울특별시 강동구 고덕동 ***-* 영풍빌딩 B**호서울특별시 강동구 고덕로**길 ***, 영풍빌딩 B**호 (고덕동)5227(주)비츠로코리아2024-01-25 13:10:54U2023-11-30 22:07:00.0<NA>213323.87086450919.065235<NA><NA><NA><NA><NA><NA><NA><NA>
6632400003240000312022000012022-02-14<NA>1영업/정상11정상<NA><NA><NA><NA>02-482-4588<NA><NA>서울특별시 강동구 천호동 ***-* 신구오피스텔서울특별시 강동구 성안로 ***, 신구오피스텔 *층 ***호 (천호동)5338주호산업개발(주)2023-02-22 15:43:21U2022-12-01 22:04:00.0<NA>211917.803087448478.164463<NA><NA><NA><NA><NA><NA><NA><NA>
6732400003240000312022000022022-12-01<NA>1영업/정상11정상<NA><NA><NA><NA>070-4012-3934<NA><NA>서울특별시 강동구 명일동 ***-* ***호서울특별시 강동구 상암로 ***, *층 ***호 (명일동)5296청강아이앤씨 주식회사2024-01-24 16:18:50U2023-11-30 22:06:00.0<NA>212687.654875449337.32139<NA><NA><NA><NA><NA><NA><NA><NA>
6832400003240000312024000012024-02-01<NA>1영업/정상11정상<NA><NA><NA><NA>070-4060-3905<NA><NA>서울특별시 강동구 명일동 ***-*** ***호서울특별시 강동구 구천면로**길 **, ***호 (명일동)5257예원종합개발(주)2024-02-01 15:21:09I2023-12-02 00:03:00.0<NA>212409.64608449996.534366<NA><NA><NA><NA><NA><NA><NA><NA>