Overview

Dataset statistics

Number of variables60
Number of observations46
Missing cells1279
Missing cells (%)46.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.8 KiB
Average record size in memory528.9 B

Variable types

Categorical21
Text6
DateTime4
Unsupported26
Numeric3

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),문화체육업종명,문화사업자구분명,지역구분명,총층수,주변환경명,제작취급품목내용,보험기관명,건물용도명,지상층수,지하층수,객실수,건축연면적,영문상호명,영문상호주소,선박총톤수,선박척수,선박제원,무대면적,좌석수,기념품종류,회의실별동시수용인원,시설면적,놀이기구수내역,놀이시설수,방송시설유무,발전시설유무,의무실유무,안내소유무,기획여행보험시작일자,기획여행보험종료일자,자본금,보험시작일자,보험종료일자,부대시설내역,시설규모
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17057/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (84.9%)Imbalance
지상층수 is highly imbalanced (84.9%)Imbalance
지하층수 is highly imbalanced (84.9%)Imbalance
객실수 is highly imbalanced (84.9%)Imbalance
건축연면적 is highly imbalanced (84.9%)Imbalance
선박총톤수 is highly imbalanced (84.9%)Imbalance
선박척수 is highly imbalanced (84.9%)Imbalance
무대면적 is highly imbalanced (84.9%)Imbalance
좌석수 is highly imbalanced (84.9%)Imbalance
회의실별동시수용인원 is highly imbalanced (84.9%)Imbalance
시설면적 is highly imbalanced (84.9%)Imbalance
놀이시설수 is highly imbalanced (72.2%)Imbalance
자본금 is highly imbalanced (84.9%)Imbalance
시설규모 is highly imbalanced (84.9%)Imbalance
인허가취소일자 has 46 (100.0%) missing valuesMissing
폐업일자 has 25 (54.3%) missing valuesMissing
휴업시작일자 has 46 (100.0%) missing valuesMissing
휴업종료일자 has 46 (100.0%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
전화번호 has 17 (37.0%) missing valuesMissing
소재지면적 has 46 (100.0%) missing valuesMissing
소재지우편번호 has 41 (89.1%) missing valuesMissing
업태구분명 has 46 (100.0%) missing valuesMissing
문화사업자구분명 has 46 (100.0%) missing valuesMissing
지역구분명 has 46 (100.0%) missing valuesMissing
주변환경명 has 46 (100.0%) missing valuesMissing
제작취급품목내용 has 46 (100.0%) missing valuesMissing
보험기관명 has 46 (100.0%) missing valuesMissing
건물용도명 has 46 (100.0%) missing valuesMissing
영문상호명 has 46 (100.0%) missing valuesMissing
영문상호주소 has 46 (100.0%) missing valuesMissing
선박제원 has 46 (100.0%) missing valuesMissing
기념품종류 has 46 (100.0%) missing valuesMissing
놀이기구수내역 has 46 (100.0%) missing valuesMissing
방송시설유무 has 46 (100.0%) missing valuesMissing
발전시설유무 has 46 (100.0%) missing valuesMissing
의무실유무 has 46 (100.0%) missing valuesMissing
안내소유무 has 46 (100.0%) missing valuesMissing
기획여행보험시작일자 has 46 (100.0%) missing valuesMissing
기획여행보험종료일자 has 46 (100.0%) missing valuesMissing
보험시작일자 has 46 (100.0%) missing valuesMissing
보험종료일자 has 46 (100.0%) missing valuesMissing
부대시설내역 has 46 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
최종수정일자 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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
놀이기구수내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방송시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
발전시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
의무실유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
안내소유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 06:22:32.462407
Analysis finished2024-05-11 06:22:33.651654
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3150000
46 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 46
100.0%

Length

2024-05-11T15:22:33.786636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:34.026170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 46
100.0%

관리번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:22:34.330308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters920
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
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 rowCDFI5272002012000001
2nd rowCDFI5272002014000001
3rd rowCDFI5272002014000002
4th rowCDFI5272002015000001
5th rowCDFI5272002015000002
ValueCountFrequency (%)
cdfi5272002012000001 1
 
2.2%
cdfi5272002019000005 1
 
2.2%
cdfi5272002022000004 1
 
2.2%
cdfi5272002018000003 1
 
2.2%
cdfi5272002018000004 1
 
2.2%
cdfi5272002018000005 1
 
2.2%
cdfi5272002018000006 1
 
2.2%
cdfi5272002019000001 1
 
2.2%
cdfi5272002019000002 1
 
2.2%
cdfi5272002019000003 1
 
2.2%
Other values (36) 36
78.3%
2024-05-11T15:22:34.931874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 368
40.0%
2 161
17.5%
7 61
 
6.6%
1 54
 
5.9%
5 52
 
5.7%
C 46
 
5.0%
D 46
 
5.0%
F 46
 
5.0%
I 46
 
5.0%
9 9
 
1.0%
Other values (4) 31
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
80.0%
Uppercase Letter 184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 368
50.0%
2 161
21.9%
7 61
 
8.3%
1 54
 
7.3%
5 52
 
7.1%
9 9
 
1.2%
6 8
 
1.1%
3 8
 
1.1%
8 8
 
1.1%
4 7
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 46
25.0%
D 46
25.0%
F 46
25.0%
I 46
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
80.0%
Latin 184
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 368
50.0%
2 161
21.9%
7 61
 
8.3%
1 54
 
7.3%
5 52
 
7.1%
9 9
 
1.2%
6 8
 
1.1%
3 8
 
1.1%
8 8
 
1.1%
4 7
 
1.0%
Latin
ValueCountFrequency (%)
C 46
25.0%
D 46
25.0%
F 46
25.0%
I 46
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 368
40.0%
2 161
17.5%
7 61
 
6.6%
1 54
 
5.9%
5 52
 
5.7%
C 46
 
5.0%
D 46
 
5.0%
F 46
 
5.0%
I 46
 
5.0%
9 9
 
1.0%
Other values (4) 31
 
3.4%

인허가일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2012-03-22 00:00:00
Maximum2023-12-12 00:00:00
2024-05-11T15:22:35.212387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:35.493226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
23 
3
22 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 23
50.0%
3 22
47.8%
4 1
 
2.2%

Length

2024-05-11T15:22:35.791805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:36.042548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 23
50.0%
3 22
47.8%
4 1
 
2.2%

영업상태명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업/정상
23 
폐업
22 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length9.5
Mean length3.7608696
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 23
50.0%
폐업 22
47.8%
취소/말소/만료/정지/중지 1
 
2.2%

Length

2024-05-11T15:22:36.281372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:36.516602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 23
50.0%
폐업 22
47.8%
취소/말소/만료/정지/중지 1
 
2.2%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
13
23 
3
22 
35
 
1

Length

Max length2
Median length2
Mean length1.5217391
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row3
2nd row13
3rd row3
4th row3
5th row35

Common Values

ValueCountFrequency (%)
13 23
50.0%
3 22
47.8%
35 1
 
2.2%

Length

2024-05-11T15:22:36.738815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:36.935929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 23
50.0%
3 22
47.8%
35 1
 
2.2%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업중
23 
폐업
22 
직권말소
 
1

Length

Max length4
Median length3.5
Mean length2.5434783
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row폐업
2nd row영업중
3rd row폐업
4th row폐업
5th row직권말소

Common Values

ValueCountFrequency (%)
영업중 23
50.0%
폐업 22
47.8%
직권말소 1
 
2.2%

Length

2024-05-11T15:22:37.167856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:37.382029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 23
50.0%
폐업 22
47.8%
직권말소 1
 
2.2%

폐업일자
Date

MISSING 

Distinct21
Distinct (%)100.0%
Missing25
Missing (%)54.3%
Memory size500.0 B
Minimum2012-06-27 00:00:00
Maximum2024-03-13 00:00:00
2024-05-11T15:22:37.582526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:37.865203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전화번호
Text

MISSING 

Distinct28
Distinct (%)96.6%
Missing17
Missing (%)37.0%
Memory size500.0 B
2024-05-11T15:22:38.234350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.068966
Min length9

Characters and Unicode

Total characters350
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row02-6116-5727
2nd row02-6116-5727
3rd row02-2666-0222
4th row031-626-1102
5th row02-6116-5413
ValueCountFrequency (%)
02-6116-5727 2
 
6.9%
070-4227-8029 1
 
3.4%
02-3663-3122 1
 
3.4%
02-2658-5550 1
 
3.4%
02-3661-5008 1
 
3.4%
02-3410-7695 1
 
3.4%
02-3665-1900 1
 
3.4%
02-2663-7942 1
 
3.4%
02-2662-2663 1
 
3.4%
02-2667-0417 1
 
3.4%
Other values (18) 18
62.1%
2024-05-11T15:22:39.028049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 61
17.4%
- 57
16.3%
0 53
15.1%
6 51
14.6%
3 27
7.7%
1 24
 
6.9%
5 23
 
6.6%
7 20
 
5.7%
4 14
 
4.0%
8 10
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 293
83.7%
Dash Punctuation 57
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 61
20.8%
0 53
18.1%
6 51
17.4%
3 27
9.2%
1 24
 
8.2%
5 23
 
7.8%
7 20
 
6.8%
4 14
 
4.8%
8 10
 
3.4%
9 10
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 350
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 61
17.4%
- 57
16.3%
0 53
15.1%
6 51
14.6%
3 27
7.7%
1 24
 
6.9%
5 23
 
6.6%
7 20
 
5.7%
4 14
 
4.0%
8 10
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 61
17.4%
- 57
16.3%
0 53
15.1%
6 51
14.6%
3 27
7.7%
1 24
 
6.9%
5 23
 
6.6%
7 20
 
5.7%
4 14
 
4.0%
8 10
 
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소재지우편번호
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing41
Missing (%)89.1%
Memory size500.0 B
2024-05-11T15:22:39.346360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2
Min length6

Characters and Unicode

Total characters31
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row157916
2nd row157-220
3rd row157220
4th row157210
5th row157222
ValueCountFrequency (%)
157916 1
20.0%
157-220 1
20.0%
157220 1
20.0%
157210 1
20.0%
157222 1
20.0%
2024-05-11T15:22:39.894217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
25.8%
1 7
22.6%
5 5
16.1%
7 5
16.1%
0 3
 
9.7%
9 1
 
3.2%
6 1
 
3.2%
- 1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
96.8%
Dash Punctuation 1
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
26.7%
1 7
23.3%
5 5
16.7%
7 5
16.7%
0 3
 
10.0%
9 1
 
3.3%
6 1
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
25.8%
1 7
22.6%
5 5
16.1%
7 5
16.1%
0 3
 
9.7%
9 1
 
3.2%
6 1
 
3.2%
- 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
25.8%
1 7
22.6%
5 5
16.1%
7 5
16.1%
0 3
 
9.7%
9 1
 
3.2%
6 1
 
3.2%
- 1
 
3.2%

지번주소
Text

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:22:40.405368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30
Mean length26.413043
Min length17

Characters and Unicode

Total characters1215
Distinct characters107
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

Unique41 ?
Unique (%)89.1%

Sample

1st row서울특별시 강서구 화곡동 1097-3번지
2nd row서울특별시 강서구 방화동 886
3rd row서울특별시 강서구 방화동 886번지 롯데몰 김포공항점 지하2층
4th row서울특별시 강서구 마곡동 739-3 SB타운 1104호
5th row서울특별시 강서구 방화동 886번지 롯데몰 김포공항점 GF층 썬큰광장
ValueCountFrequency (%)
서울특별시 46
19.2%
강서구 46
19.2%
방화동 16
 
6.7%
화곡동 10
 
4.2%
886번지 8
 
3.3%
롯데몰 7
 
2.9%
886 6
 
2.5%
마곡동 6
 
2.5%
염창동 5
 
2.1%
등촌동 4
 
1.7%
Other values (73) 86
35.8%
2024-05-11T15:22:41.349963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
18.0%
서 96
 
7.9%
시 50
 
4.1%
강 48
 
4.0%
울 48
 
4.0%
동 48
 
4.0%
구 47
 
3.9%
특 46
 
3.8%
별 46
 
3.8%
8 41
 
3.4%
Other values (97) 526
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 735
60.5%
Space Separator 219
 
18.0%
Decimal Number 218
 
17.9%
Dash Punctuation 27
 
2.2%
Uppercase Letter 10
 
0.8%
Other Punctuation 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 96
 
13.1%
시 50
 
6.8%
강 48
 
6.5%
울 48
 
6.5%
동 48
 
6.5%
구 47
 
6.4%
특 46
 
6.3%
별 46
 
6.3%
화 26
 
3.5%
지 21
 
2.9%
Other values (79) 259
35.2%
Decimal Number
ValueCountFrequency (%)
8 41
18.8%
1 38
17.4%
6 23
10.6%
0 22
10.1%
2 19
8.7%
3 17
7.8%
4 17
7.8%
7 16
 
7.3%
9 15
 
6.9%
5 10
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 4
40.0%
F 2
20.0%
G 2
20.0%
A 1
 
10.0%
S 1
 
10.0%
Space Separator
ValueCountFrequency (%)
219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 735
60.5%
Common 470
38.7%
Latin 10
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 96
 
13.1%
시 50
 
6.8%
강 48
 
6.5%
울 48
 
6.5%
동 48
 
6.5%
구 47
 
6.4%
특 46
 
6.3%
별 46
 
6.3%
화 26
 
3.5%
지 21
 
2.9%
Other values (79) 259
35.2%
Common
ValueCountFrequency (%)
219
46.6%
8 41
 
8.7%
1 38
 
8.1%
- 27
 
5.7%
6 23
 
4.9%
0 22
 
4.7%
2 19
 
4.0%
3 17
 
3.6%
4 17
 
3.6%
7 16
 
3.4%
Other values (3) 31
 
6.6%
Latin
ValueCountFrequency (%)
B 4
40.0%
F 2
20.0%
G 2
20.0%
A 1
 
10.0%
S 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 735
60.5%
ASCII 480
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
45.6%
8 41
 
8.5%
1 38
 
7.9%
- 27
 
5.6%
6 23
 
4.8%
0 22
 
4.6%
2 19
 
4.0%
3 17
 
3.5%
4 17
 
3.5%
7 16
 
3.3%
Other values (8) 41
 
8.5%
Hangul
ValueCountFrequency (%)
서 96
 
13.1%
시 50
 
6.8%
강 48
 
6.5%
울 48
 
6.5%
동 48
 
6.5%
구 47
 
6.4%
특 46
 
6.3%
별 46
 
6.3%
화 26
 
3.5%
지 21
 
2.9%
Other values (79) 259
35.2%

도로명주소
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:22:42.014692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length37.217391
Min length22

Characters and Unicode

Total characters1712
Distinct characters139
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)95.7%

Sample

1st row서울특별시 강서구 화곡로 329 (화곡동)
2nd row서울특별시 강서구 하늘길 38 (방화동)
3rd row서울특별시 강서구 하늘길 38, 지하2층 (방화동, 롯데몰 김포공항점 )
4th row서울특별시 강서구 마곡중앙5로 81, 1104~1107호 (마곡동, SB타운)
5th row서울특별시 강서구 하늘길 38 (방화동, 롯데몰 김포공항점 GF층 썬큰광장)
ValueCountFrequency (%)
서울특별시 46
 
14.0%
강서구 46
 
14.0%
방화동 16
 
4.9%
하늘길 14
 
4.3%
화곡동 10
 
3.0%
38 10
 
3.0%
롯데몰 8
 
2.4%
2층 7
 
2.1%
마곡동 6
 
1.8%
양천로 6
 
1.8%
Other values (115) 160
48.6%
2024-05-11T15:22:43.071844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
283
 
16.5%
서 108
 
6.3%
, 75
 
4.4%
강 59
 
3.4%
시 55
 
3.2%
1 51
 
3.0%
동 49
 
2.9%
울 48
 
2.8%
( 48
 
2.8%
) 48
 
2.8%
Other values (129) 888
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1003
58.6%
Space Separator 283
 
16.5%
Decimal Number 217
 
12.7%
Other Punctuation 75
 
4.4%
Open Punctuation 48
 
2.8%
Close Punctuation 48
 
2.8%
Uppercase Letter 17
 
1.0%
Lowercase Letter 14
 
0.8%
Dash Punctuation 5
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 108
 
10.8%
강 59
 
5.9%
시 55
 
5.5%
동 49
 
4.9%
울 48
 
4.8%
구 47
 
4.7%
특 46
 
4.6%
별 46
 
4.6%
로 34
 
3.4%
층 31
 
3.1%
Other values (99) 480
47.9%
Decimal Number
ValueCountFrequency (%)
1 51
23.5%
2 27
12.4%
0 26
12.0%
3 25
11.5%
5 21
9.7%
7 16
 
7.4%
4 16
 
7.4%
8 14
 
6.5%
9 11
 
5.1%
6 10
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
F 5
29.4%
G 4
23.5%
B 3
17.6%
M 1
 
5.9%
A 1
 
5.9%
N 1
 
5.9%
C 1
 
5.9%
S 1
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
k 4
28.6%
r 2
14.3%
s 2
14.3%
y 2
14.3%
a 2
14.3%
p 2
14.3%
Space Separator
ValueCountFrequency (%)
283
100.0%
Other Punctuation
ValueCountFrequency (%)
, 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1003
58.6%
Common 678
39.6%
Latin 31
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 108
 
10.8%
강 59
 
5.9%
시 55
 
5.5%
동 49
 
4.9%
울 48
 
4.8%
구 47
 
4.7%
특 46
 
4.6%
별 46
 
4.6%
로 34
 
3.4%
층 31
 
3.1%
Other values (99) 480
47.9%
Common
ValueCountFrequency (%)
283
41.7%
, 75
 
11.1%
1 51
 
7.5%
( 48
 
7.1%
) 48
 
7.1%
2 27
 
4.0%
0 26
 
3.8%
3 25
 
3.7%
5 21
 
3.1%
7 16
 
2.4%
Other values (6) 58
 
8.6%
Latin
ValueCountFrequency (%)
F 5
16.1%
k 4
12.9%
G 4
12.9%
B 3
9.7%
r 2
 
6.5%
s 2
 
6.5%
y 2
 
6.5%
a 2
 
6.5%
p 2
 
6.5%
M 1
 
3.2%
Other values (4) 4
12.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1003
58.6%
ASCII 709
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
283
39.9%
, 75
 
10.6%
1 51
 
7.2%
( 48
 
6.8%
) 48
 
6.8%
2 27
 
3.8%
0 26
 
3.7%
3 25
 
3.5%
5 21
 
3.0%
7 16
 
2.3%
Other values (20) 89
 
12.6%
Hangul
ValueCountFrequency (%)
서 108
 
10.8%
강 59
 
5.9%
시 55
 
5.5%
동 49
 
4.9%
울 48
 
4.8%
구 47
 
4.7%
특 46
 
4.6%
별 46
 
4.6%
로 34
 
3.4%
층 31
 
3.1%
Other values (99) 480
47.9%

도로명우편번호
Real number (ℝ)

Distinct33
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14117.065
Minimum7505
Maximum157916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:22:43.363483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7505
5-th percentile7505
Q17505
median7583
Q37682.25
95-th percentile7795.75
Maximum157916
Range150411
Interquartile range (IQR)177.25

Descriptive statistics

Standard deviation30922.024
Coefficient of variation (CV)2.1904003
Kurtosis20.315219
Mean14117.065
Median Absolute Deviation (MAD)78
Skewness4.6295408
Sum649385
Variance9.5617159 × 108
MonotonicityNot monotonic
2024-05-11T15:22:43.693804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7505 13
28.3%
7599 2
 
4.3%
7559 1
 
2.2%
7593 1
 
2.2%
7635 1
 
2.2%
7605 1
 
2.2%
7587 1
 
2.2%
7789 1
 
2.2%
7684 1
 
2.2%
157916 1
 
2.2%
Other values (23) 23
50.0%
ValueCountFrequency (%)
7505 13
28.3%
7510 1
 
2.2%
7527 1
 
2.2%
7532 1
 
2.2%
7535 1
 
2.2%
7540 1
 
2.2%
7545 1
 
2.2%
7555 1
 
2.2%
7559 1
 
2.2%
7567 1
 
2.2%
ValueCountFrequency (%)
157916 1
2.2%
157220 1
2.2%
7798 1
2.2%
7789 1
2.2%
7781 1
2.2%
7766 1
2.2%
7765 1
2.2%
7762 1
2.2%
7721 1
2.2%
7719 1
2.2%

사업장명
Text

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:22:44.169467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length7.9565217
Min length3

Characters and Unicode

Total characters366
Distinct characters127
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

Unique41 ?
Unique (%)89.1%

Sample

1st row휘버플레이존(화곡점)
2nd row(주)플레이스케이프
3rd row플레이스케이프
4th row점핑파크(마곡점)
5th row플레이스케이프
ValueCountFrequency (%)
플레이스케이프 3
 
4.1%
염창점 3
 
4.1%
점핑앤 3
 
4.1%
가양점 2
 
2.7%
키즈카페 2
 
2.7%
챔피언 2
 
2.7%
주)플레이스케이프 2
 
2.7%
마곡점 2
 
2.7%
화곡점 1
 
1.4%
주)키드존 1
 
1.4%
Other values (52) 52
71.2%
2024-05-11T15:22:45.084103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
7.4%
점 20
 
5.5%
이 17
 
4.6%
스 10
 
2.7%
키 10
 
2.7%
( 10
 
2.7%
) 10
 
2.7%
방 10
 
2.7%
플 9
 
2.5%
즈 9
 
2.5%
Other values (117) 234
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 304
83.1%
Space Separator 27
 
7.4%
Uppercase Letter 13
 
3.6%
Open Punctuation 10
 
2.7%
Close Punctuation 10
 
2.7%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 20
 
6.6%
이 17
 
5.6%
스 10
 
3.3%
키 10
 
3.3%
방 10
 
3.3%
플 9
 
3.0%
즈 9
 
3.0%
주 9
 
3.0%
레 8
 
2.6%
프 7
 
2.3%
Other values (103) 195
64.1%
Uppercase Letter
ValueCountFrequency (%)
K 3
23.1%
A 3
23.1%
R 1
 
7.7%
V 1
 
7.7%
C 1
 
7.7%
F 1
 
7.7%
U 1
 
7.7%
D 1
 
7.7%
E 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 304
83.1%
Common 49
 
13.4%
Latin 13
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 20
 
6.6%
이 17
 
5.6%
스 10
 
3.3%
키 10
 
3.3%
방 10
 
3.3%
플 9
 
3.0%
즈 9
 
3.0%
주 9
 
3.0%
레 8
 
2.6%
프 7
 
2.3%
Other values (103) 195
64.1%
Latin
ValueCountFrequency (%)
K 3
23.1%
A 3
23.1%
R 1
 
7.7%
V 1
 
7.7%
C 1
 
7.7%
F 1
 
7.7%
U 1
 
7.7%
D 1
 
7.7%
E 1
 
7.7%
Common
ValueCountFrequency (%)
27
55.1%
( 10
 
20.4%
) 10
 
20.4%
9 1
 
2.0%
1 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 304
83.1%
ASCII 62
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
43.5%
( 10
 
16.1%
) 10
 
16.1%
K 3
 
4.8%
A 3
 
4.8%
R 1
 
1.6%
V 1
 
1.6%
C 1
 
1.6%
F 1
 
1.6%
U 1
 
1.6%
Other values (4) 4
 
6.5%
Hangul
ValueCountFrequency (%)
점 20
 
6.6%
이 17
 
5.6%
스 10
 
3.3%
키 10
 
3.3%
방 10
 
3.3%
플 9
 
3.0%
즈 9
 
3.0%
주 9
 
3.0%
레 8
 
2.6%
프 7
 
2.3%
Other values (103) 195
64.1%

최종수정일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2014-10-21 11:14:25
Maximum2024-05-08 16:20:57
2024-05-11T15:22:45.377611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:45.643323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
U
29 
I
17 

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 (%)
U 29
63.0%
I 17
37.0%

Length

2024-05-11T15:22:45.927286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:46.097323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 29
63.0%
i 17
37.0%

데이터갱신일자
Date

Distinct38
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:01:00
2024-05-11T15:22:46.281682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:22:46.506068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌표정보(X)
Real number (ℝ)

Distinct33
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184883.38
Minimum182524.82
Maximum188744.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:22:46.735390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182524.82
5-th percentile182524.82
Q1182524.82
median184825.71
Q3186274.98
95-th percentile188573.01
Maximum188744.94
Range6220.1152
Interquartile range (IQR)3750.1548

Descriptive statistics

Standard deviation2046.3901
Coefficient of variation (CV)0.011068546
Kurtosis-1.023994
Mean184883.38
Median Absolute Deviation (MAD)1793.8355
Skewness0.33397804
Sum8504635.5
Variance4187712.6
MonotonicityNot monotonic
2024-05-11T15:22:46.995153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
182524.823835629 14
30.4%
186722.122757462 1
 
2.2%
188575.873671469 1
 
2.2%
183896.946505869 1
 
2.2%
184573.276770349 1
 
2.2%
183660.02444927 1
 
2.2%
186299.74267687 1
 
2.2%
185444.0 1
 
2.2%
186105.644530902 1
 
2.2%
185075.961315199 1
 
2.2%
Other values (23) 23
50.0%
ValueCountFrequency (%)
182524.823835629 14
30.4%
183366.101249557 1
 
2.2%
183660.02444927 1
 
2.2%
183758.0 1
 
2.2%
183896.946505869 1
 
2.2%
183897.0 1
 
2.2%
184275.193252761 1
 
2.2%
184386.0 1
 
2.2%
184573.276770349 1
 
2.2%
184575.454545723 1
 
2.2%
ValueCountFrequency (%)
188744.939051105 1
2.2%
188674.333972649 1
2.2%
188575.873671469 1
2.2%
188564.428051183 1
2.2%
188237.941732745 1
2.2%
187761.194273879 1
2.2%
187119.948165892 1
2.2%
186722.122757462 1
2.2%
186687.131804431 1
2.2%
186551.955134072 1
2.2%

좌표정보(Y)
Real number (ℝ)

Distinct33
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450623.08
Minimum447579.38
Maximum452817.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:22:47.237283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447579.38
5-th percentile448143.34
Q1449789.06
median451236.9
Q3451438.25
95-th percentile452216.22
Maximum452817.47
Range5238.0943
Interquartile range (IQR)1649.1928

Descriptive statistics

Standard deviation1264.3944
Coefficient of variation (CV)0.0028058803
Kurtosis-0.069770669
Mean450623.08
Median Absolute Deviation (MAD)594.65111
Skewness-0.7910246
Sum20728662
Variance1598693.2
MonotonicityNot monotonic
2024-05-11T15:22:47.527443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
451438.25089679 14
30.4%
450140.803920959 1
 
2.2%
449551.307238477 1
 
2.2%
452322.965685604 1
 
2.2%
450049.716475329 1
 
2.2%
452335.433564391 1
 
2.2%
450792.016505679 1
 
2.2%
451896.0 1
 
2.2%
449804.566604028 1
 
2.2%
449783.888547077 1
 
2.2%
Other values (23) 23
50.0%
ValueCountFrequency (%)
447579.375157577 1
2.2%
447741.032499343 1
2.2%
448083.727085355 1
2.2%
448322.173065371 1
2.2%
448502.790720547 1
2.2%
449009.226600415 1
2.2%
449141.018652864 1
2.2%
449450.069694741 1
2.2%
449551.307238477 1
2.2%
449706.208607211 1
2.2%
ValueCountFrequency (%)
452817.469477897 1
 
2.2%
452335.433564391 1
 
2.2%
452322.965685604 1
 
2.2%
451896.0 1
 
2.2%
451829.516720391 1
 
2.2%
451681.0 1
 
2.2%
451652.0 1
 
2.2%
451438.25089679 14
30.4%
451342.773451086 1
 
2.2%
451247.799839154 1
 
2.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
신고유원시설업
34 
<NA>
12 

Length

Max length7
Median length7
Mean length6.2173913
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고유원시설업 34
73.9%
<NA> 12
 
26.1%

Length

2024-05-11T15:22:47.782652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:47.962440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 34
73.9%
na 12
 
26.1%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:48.560882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:48.750046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:48.977561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:49.170473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:49.370474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:49.555434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:49.774793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:50.044735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:50.228895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:50.414829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:50.639403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:50.817104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:51.010309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:51.191336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:51.374988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:51.576089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:51.729833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:51.869782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:52.017985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:52.160675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:52.396150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:52.582817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
2
3
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row3

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 2
 
4.3%
3 1
 
2.2%
1 1
 
2.2%

Length

2024-05-11T15:22:52.818137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:53.021049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 2
 
4.3%
3 1
 
2.2%
1 1
 
2.2%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:53.228524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:53.414111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

시설규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
0
 
1

Length

Max length4
Median length4
Mean length3.9347826
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
0 1
 
2.2%

Length

2024-05-11T15:22:53.597007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:53.756587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
0 1
 
2.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03150000CDFI527200201200000120120322<NA>3폐업3폐업20120627<NA><NA><NA><NA><NA>157916서울특별시 강서구 화곡동 1097-3번지서울특별시 강서구 화곡로 329 (화곡동)157916휘버플레이존(화곡점)2014-10-21 11:14:25I2018-08-31 23:59:59.0<NA>186722.122757450140.803921신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13150000CDFI52720020140000012014-02-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6116-5727<NA>157-220서울특별시 강서구 방화동 886서울특별시 강서구 하늘길 38 (방화동)7505(주)플레이스케이프2024-05-08 16:20:57U2023-12-04 23:01:00.0<NA>182524.823836451438.250897<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23150000CDFI527200201400000220140416<NA>3폐업3폐업<NA><NA><NA><NA>02-6116-5727<NA>157220서울특별시 강서구 방화동 886번지 롯데몰 김포공항점 지하2층서울특별시 강서구 하늘길 38, 지하2층 (방화동, 롯데몰 김포공항점 )157220플레이스케이프2015-03-24 18:56:24I2018-08-31 23:59:59.0<NA>182524.823836451438.250897신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33150000CDFI527200201500000120150324<NA>3폐업3폐업20210616<NA><NA><NA>02-2666-0222<NA>157210서울특별시 강서구 마곡동 739-3 SB타운 1104호서울특별시 강서구 마곡중앙5로 81, 1104~1107호 (마곡동, SB타운)7599점핑파크(마곡점)2021-06-17 14:13:50U2021-06-19 02:40:00.0<NA>183897.0451681.0신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43150000CDFI527200201500000220150519<NA>4취소/말소/만료/정지/중지35직권말소20160516<NA><NA><NA>031-626-1102<NA>157222서울특별시 강서구 방화동 886번지 롯데몰 김포공항점 GF층 썬큰광장서울특별시 강서구 하늘길 38 (방화동, 롯데몰 김포공항점 GF층 썬큰광장)7505플레이스케이프2016-05-25 17:15:43I2018-08-31 23:59:59.0<NA>182524.823836451438.250897신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53150000CDFI52720020160000012016-01-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6116-5413<NA><NA>서울특별시 강서구 방화동 886 롯데몰 김포공항 지하1층서울특별시 강서구 하늘길 38, 지하 1층 (방화동, 롯데몰 (sky park))7505챔피언 더 블랙벨트2024-02-19 10:35:01U2023-12-01 22:01:00.0<NA>182524.823836451438.250897<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63150000CDFI527200201600000220160516<NA>3폐업3폐업20180404<NA><NA><NA>031-265-0837<NA><NA>서울특별시 강서구 방화동 886번지 GF층서울특별시 강서구 하늘길 38-07505, GF층 (방화동, 롯데몰 (sky park))7505(주)플레이스케이프2018-04-04 10:14:48I2018-08-31 23:59:59.0<NA>182524.823836451438.250897신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73150000CDFI527200201600000320160707<NA>3폐업3폐업20220728<NA><NA><NA>02-2601-0120<NA><NA>서울특별시 강서구 화곡동 1165-1 511호서울특별시 강서구 강서로 242, 5층 11~14호 (화곡동, 강서힐스테이트 상가)7694타요키즈카페 우장산역점2022-07-29 11:09:28U2021-12-06 21:01:00.0<NA>185509.165466449450.069695<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83150000CDFI527200201600000420160826<NA>3폐업3폐업20200831<NA><NA><NA>070-4229-5097<NA><NA>서울특별시 강서구 방화동 829-4 409호서울특별시 강서구 금낭화로 135, 409호 (방화동, 금강프라자빌딩)7510키즈방방2020-09-02 18:14:46U2020-09-04 02:40:00.0<NA>183366.10125452817.469478신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93150000CDFI52720020160000052016-11-04<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1355-2558<NA><NA>서울특별시 강서구 화곡동 358-3 4층서울특별시 강서구 강서로17길 137, 4층 (화곡동, 동선빌딩)7766노리파크 화곡2023-03-28 14:49:03U2022-12-02 21:00:00.0<NA>185640.023904447741.032499<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
363150000CDFI527200201900000820190811<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 산 60-1번지 한국폴리텍대학서울강서캠퍼스서울특별시 강서구 우장산로10길 112, 한국폴리텍대학서울강서캠퍼스 (화곡동)7684건강놀이문화협동조합2019-08-11 16:23:52I2019-08-13 02:22:01.0<NA>186105.644531449804.566604신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373150000CDFI527200202000000120200224<NA>3폐업3폐업20200722<NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 886 김포공항, 롯데몰, 스카이시티서울특별시 강서구 하늘길 38, 김포공항, 롯데몰, 스카이시티 MF층 (방화동)7505브릭스 펀 랜드2020-07-22 15:07:28U2020-07-24 02:40:00.0<NA>182524.823836451438.250897신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383150000CDFI52720020200000022020-04-06<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3661-5008<NA><NA>서울특별시 강서구 염창동 310 아네스트염창 201호서울특별시 강서구 공항대로 593, 2층 201-202호 (염창동, 아네스트염창)7559아로아로 염창점2023-05-16 10:03:24U2022-12-04 23:08:00.0<NA>188575.873671449551.307238<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393150000CDFI527200202000000320201229<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 내발산동 712-4 B01호서울특별시 강서구 강서로45길 110, 지하1층 (내발산동)7638히어로방방키즈카페2020-12-29 18:04:29I2020-12-31 00:23:05.0<NA>185075.961315449783.888547신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403150000CDFI527200202100000120210621<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2658-5550<NA><NA>서울특별시 강서구 염창동 75-8 5층서울특별시 강서구 양천로67길 99, 5층 (염창동)7535위드키즈2021-06-21 13:50:12I2021-06-23 00:23:04.0<NA>188564.428051450381.673345신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413150000CDFI527200202200000120220311<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 897-5서울특별시 강서구 강서로10길 15, 2층 (화곡동)7781롤리폴리 트렘폴린2022-03-11 15:34:34I2022-03-13 00:22:53.0<NA>186551.955134447579.375158신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
423150000CDFI527200202200000220220328<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 681-3 효성인텔리안 지하동 104호서울특별시 강서구 강서로 426, 효성인텔리안 지층 104-105호 (등촌동)7582팡팡포레키즈카페2022-03-28 21:07:57I2021-12-02 21:00:00.0<NA>185811.947278451247.799839<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433150000CDFI52720020220000032022-07-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 18-24 홈플러스가양점서울특별시 강서구 양천로 431, 홈플러스가양점 지하 1층 (가양동)7527몬스터파크(주) 가양점2023-03-03 17:14:14U2022-12-03 00:05:00.0<NA>186687.131804451342.773451<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443150000CDFI527200202200000420220714<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 염창동 249-3 B01호서울특별시 강서구 양천로 691-11, 지하 1층 (염창동)7540방방월드2022-07-15 10:28:31I2021-12-06 23:07:00.0<NA>188744.939051449843.720264<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453150000CDFI52720020230000012023-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2064-2732<NA><NA>서울특별시 강서구 내발산동 748-4 강서구영유아플라자서울특별시 강서구 수명로2길 50, 강서구영유아플라자 2층 (내발산동)7641서울형 키즈카페 강서구 발산1동점2023-12-12 13:13:42I2022-11-01 23:04:00.0<NA>184575.454546449706.208607<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>