Overview

Dataset statistics

Number of variables60
Number of observations23
Missing cells664
Missing cells (%)48.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.9 KiB
Average record size in memory530.7 B

Variable types

Categorical19
Text8
DateTime3
Unsupported24
Numeric6

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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-17056/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 23 (100.0%) missing valuesMissing
폐업일자 has 11 (47.8%) missing valuesMissing
휴업시작일자 has 23 (100.0%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
전화번호 has 14 (60.9%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
소재지우편번호 has 23 (100.0%) missing valuesMissing
도로명주소 has 2 (8.7%) missing valuesMissing
도로명우편번호 has 2 (8.7%) missing valuesMissing
업태구분명 has 23 (100.0%) missing valuesMissing
문화사업자구분명 has 23 (100.0%) missing valuesMissing
지역구분명 has 20 (87.0%) missing valuesMissing
주변환경명 has 20 (87.0%) missing valuesMissing
제작취급품목내용 has 23 (100.0%) missing valuesMissing
보험기관명 has 23 (100.0%) missing valuesMissing
건물용도명 has 21 (91.3%) missing valuesMissing
영문상호명 has 23 (100.0%) missing valuesMissing
영문상호주소 has 23 (100.0%) missing valuesMissing
선박제원 has 23 (100.0%) missing valuesMissing
기념품종류 has 23 (100.0%) missing valuesMissing
시설면적 has 11 (47.8%) missing valuesMissing
놀이기구수내역 has 23 (100.0%) missing valuesMissing
방송시설유무 has 23 (100.0%) missing valuesMissing
발전시설유무 has 23 (100.0%) missing valuesMissing
의무실유무 has 23 (100.0%) missing valuesMissing
안내소유무 has 23 (100.0%) missing valuesMissing
기획여행보험시작일자 has 23 (100.0%) missing valuesMissing
기획여행보험종료일자 has 23 (100.0%) missing valuesMissing
보험시작일자 has 23 (100.0%) missing valuesMissing
보험종료일자 has 23 (100.0%) missing valuesMissing
부대시설내역 has 23 (100.0%) missing valuesMissing
시설규모 has 11 (47.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 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
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
문화사업자구분명 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
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 05:37:41.980603
Analysis finished2024-05-11 05:37:42.832675
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
3140000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 23
100.0%

Length

2024-05-11T14:37:42.941408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:43.108368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 23
100.0%

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T14:37:43.433290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters460
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowCDFI5272002015000001
2nd rowCDFI5272002016000001
3rd rowCDFI5272002016000002
4th rowCDFI5272002016000003
5th rowCDFI5272002016000004
ValueCountFrequency (%)
cdfi5272002015000001 1
 
4.3%
cdfi5272002018000006 1
 
4.3%
cdfi5272002019000009 1
 
4.3%
cdfi5272002019000008 1
 
4.3%
cdfi5272002019000006 1
 
4.3%
cdfi5272002019000005 1
 
4.3%
cdfi5272002019000004 1
 
4.3%
cdfi5272002019000003 1
 
4.3%
cdfi5272002019000002 1
 
4.3%
cdfi5272002019000001 1
 
4.3%
Other values (13) 13
56.5%
2024-05-11T14:37:44.024283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 184
40.0%
2 75
16.3%
1 28
 
6.1%
5 26
 
5.7%
7 26
 
5.7%
C 23
 
5.0%
D 23
 
5.0%
F 23
 
5.0%
I 23
 
5.0%
9 9
 
2.0%
Other values (4) 20
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 368
80.0%
Uppercase Letter 92
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 184
50.0%
2 75
20.4%
1 28
 
7.6%
5 26
 
7.1%
7 26
 
7.1%
9 9
 
2.4%
8 8
 
2.2%
6 6
 
1.6%
3 3
 
0.8%
4 3
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 23
25.0%
D 23
25.0%
F 23
25.0%
I 23
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 368
80.0%
Latin 92
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 184
50.0%
2 75
20.4%
1 28
 
7.6%
5 26
 
7.1%
7 26
 
7.1%
9 9
 
2.4%
8 8
 
2.2%
6 6
 
1.6%
3 3
 
0.8%
4 3
 
0.8%
Latin
ValueCountFrequency (%)
C 23
25.0%
D 23
25.0%
F 23
25.0%
I 23
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 184
40.0%
2 75
16.3%
1 28
 
6.1%
5 26
 
5.7%
7 26
 
5.7%
C 23
 
5.0%
D 23
 
5.0%
F 23
 
5.0%
I 23
 
5.0%
9 9
 
2.0%
Other values (4) 20
 
4.3%

인허가일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2015-10-05 00:00:00
Maximum2022-10-26 00:00:00
2024-05-11T14:37:44.267219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:44.458538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
12 
1
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 12
52.2%
1 11
47.8%

Length

2024-05-11T14:37:44.644349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:44.799095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 12
52.2%
1 11
47.8%

영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
12 
영업/정상
11 

Length

Max length5
Median length2
Mean length3.4347826
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 12
52.2%
영업/정상 11
47.8%

Length

2024-05-11T14:37:44.969913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:45.150910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 12
52.2%
영업/정상 11
47.8%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
3
12 
13
11 

Length

Max length2
Median length1
Mean length1.4782609
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 12
52.2%
13 11
47.8%

Length

2024-05-11T14:37:45.336969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:45.523206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 12
52.2%
13 11
47.8%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
폐업
12 
영업중
11 

Length

Max length3
Median length2
Mean length2.4782609
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 12
52.2%
영업중 11
47.8%

Length

2024-05-11T14:37:45.748729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:45.913054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 12
52.2%
영업중 11
47.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing11
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean20198409
Minimum20170901
Maximum20221128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:37:46.055972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20170901
5-th percentile20176362
Q120188370
median20201018
Q320210654
95-th percentile20215613
Maximum20221128
Range50227
Interquartile range (IQR)22285

Descriptive statistics

Standard deviation15432.72
Coefficient of variation (CV)0.00076405621
Kurtosis-0.90628819
Mean20198409
Median Absolute Deviation (MAD)9994
Skewness-0.38642343
Sum2.4238091 × 108
Variance2.3816885 × 108
MonotonicityNot monotonic
2024-05-11T14:37:46.271615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20181015 1
 
4.3%
20170901 1
 
4.3%
20180831 1
 
4.3%
20210604 1
 
4.3%
20201223 1
 
4.3%
20200814 1
 
4.3%
20191113 1
 
4.3%
20221128 1
 
4.3%
20190821 1
 
4.3%
20210731 1
 
4.3%
Other values (2) 2
 
8.7%
(Missing) 11
47.8%
ValueCountFrequency (%)
20170901 1
4.3%
20180831 1
4.3%
20181015 1
4.3%
20190821 1
4.3%
20191113 1
4.3%
20200814 1
4.3%
20201223 1
4.3%
20210604 1
4.3%
20210629 1
4.3%
20210731 1
4.3%
ValueCountFrequency (%)
20221128 1
4.3%
20211101 1
4.3%
20210731 1
4.3%
20210629 1
4.3%
20210604 1
4.3%
20201223 1
4.3%
20200814 1
4.3%
20191113 1
4.3%
20190821 1
4.3%
20181015 1
4.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing14
Missing (%)60.9%
Memory size316.0 B
2024-05-11T14:37:46.542210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.555556
Min length8

Characters and Unicode

Total characters95
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

Unique9 ?
Unique (%)100.0%

Sample

1st row2646-0970
2nd row07042117740
3rd row07048211302
4th row26901258
5th row02-6941-1030
ValueCountFrequency (%)
2646-0970 1
11.1%
07042117740 1
11.1%
07048211302 1
11.1%
26901258 1
11.1%
02-6941-1030 1
11.1%
02-2644-9617 1
11.1%
0226468353 1
11.1%
0226550604 1
11.1%
02-2062-2006 1
11.1%
2024-05-11T14:37:47.118059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 21
22.1%
2 17
17.9%
6 12
12.6%
4 9
9.5%
1 8
 
8.4%
- 7
 
7.4%
7 6
 
6.3%
9 4
 
4.2%
3 4
 
4.2%
5 4
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88
92.6%
Dash Punctuation 7
 
7.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
23.9%
2 17
19.3%
6 12
13.6%
4 9
10.2%
1 8
 
9.1%
7 6
 
6.8%
9 4
 
4.5%
3 4
 
4.5%
5 4
 
4.5%
8 3
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 95
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21
22.1%
2 17
17.9%
6 12
12.6%
4 9
9.5%
1 8
 
8.4%
- 7
 
7.4%
7 6
 
6.3%
9 4
 
4.2%
3 4
 
4.2%
5 4
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21
22.1%
2 17
17.9%
6 12
12.6%
4 9
9.5%
1 8
 
8.4%
- 7
 
7.4%
7 6
 
6.3%
9 4
 
4.2%
3 4
 
4.2%
5 4
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

지번주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T14:37:47.501247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length26.956522
Min length20

Characters and Unicode

Total characters620
Distinct characters93
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

Unique23 ?
Unique (%)100.0%

Sample

1st row서울특별시 양천구 목동 919-7 홈플러스 목동점 XHY8호
2nd row서울특별시 양천구 목동 609-22번지 정목빌딩
3rd row서울특별시 양천구 목동 808-1번지 경원빌딩
4th row서울특별시 양천구 목동 754-4 3층
5th row서울특별시 양천구 목동 923-5번지 한국방송회관,1,2층
ValueCountFrequency (%)
서울특별시 23
19.2%
양천구 23
19.2%
목동 11
 
9.2%
신정동 7
 
5.8%
신월동 5
 
4.2%
501호 2
 
1.7%
919-7 2
 
1.7%
목동점 2
 
1.7%
경원빌딩 2
 
1.7%
명신빌딩 1
 
0.8%
Other values (42) 42
35.0%
2024-05-11T14:37:48.427938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
17.9%
동 27
 
4.4%
1 27
 
4.4%
서 23
 
3.7%
특 23
 
3.7%
별 23
 
3.7%
시 23
 
3.7%
양 23
 
3.7%
천 23
 
3.7%
구 23
 
3.7%
Other values (83) 294
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
58.4%
Decimal Number 112
 
18.1%
Space Separator 111
 
17.9%
Dash Punctuation 21
 
3.4%
Uppercase Letter 9
 
1.5%
Other Punctuation 3
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 27
 
7.5%
서 23
 
6.4%
특 23
 
6.4%
별 23
 
6.4%
시 23
 
6.4%
양 23
 
6.4%
천 23
 
6.4%
구 23
 
6.4%
울 23
 
6.4%
목 16
 
4.4%
Other values (59) 135
37.3%
Decimal Number
ValueCountFrequency (%)
1 27
24.1%
2 16
14.3%
9 15
13.4%
0 11
9.8%
8 10
 
8.9%
7 8
 
7.1%
6 7
 
6.2%
4 7
 
6.2%
5 6
 
5.4%
3 5
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
Y 2
22.2%
B 1
11.1%
X 1
11.1%
H 1
11.1%
O 1
11.1%
U 1
11.1%
M 1
11.1%
E 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
& 1
33.3%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
58.4%
Common 249
40.2%
Latin 9
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 27
 
7.5%
서 23
 
6.4%
특 23
 
6.4%
별 23
 
6.4%
시 23
 
6.4%
양 23
 
6.4%
천 23
 
6.4%
구 23
 
6.4%
울 23
 
6.4%
목 16
 
4.4%
Other values (59) 135
37.3%
Common
ValueCountFrequency (%)
111
44.6%
1 27
 
10.8%
- 21
 
8.4%
2 16
 
6.4%
9 15
 
6.0%
0 11
 
4.4%
8 10
 
4.0%
7 8
 
3.2%
6 7
 
2.8%
4 7
 
2.8%
Other values (6) 16
 
6.4%
Latin
ValueCountFrequency (%)
Y 2
22.2%
B 1
11.1%
X 1
11.1%
H 1
11.1%
O 1
11.1%
U 1
11.1%
M 1
11.1%
E 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
58.4%
ASCII 258
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
43.0%
1 27
 
10.5%
- 21
 
8.1%
2 16
 
6.2%
9 15
 
5.8%
0 11
 
4.3%
8 10
 
3.9%
7 8
 
3.1%
6 7
 
2.7%
4 7
 
2.7%
Other values (14) 25
 
9.7%
Hangul
ValueCountFrequency (%)
동 27
 
7.5%
서 23
 
6.4%
특 23
 
6.4%
별 23
 
6.4%
시 23
 
6.4%
양 23
 
6.4%
천 23
 
6.4%
구 23
 
6.4%
울 23
 
6.4%
목 16
 
4.4%
Other values (59) 135
37.3%

도로명주소
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing2
Missing (%)8.7%
Memory size316.0 B
2024-05-11T14:37:48.823822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length38
Mean length35.619048
Min length26

Characters and Unicode

Total characters748
Distinct characters101
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

Unique21 ?
Unique (%)100.0%

Sample

1st row서울특별시 양천구 목동서로 170, B1층 XHY8호 (목동, 홈플러스목동점)
2nd row서울특별시 양천구 목동중앙북로7가길 10, 201호 (목동, 정목빌딩)
3rd row서울특별시 양천구 목동로 234, 6층 (목동, 경원빌딩)
4th row서울특별시 양천구 목동중앙본로 17, 3층 (목동)
5th row서울특별시 양천구 목동동로 233, 1,2층 (목동, 한국방송회관)
ValueCountFrequency (%)
서울특별시 21
 
14.3%
양천구 21
 
14.3%
목동 11
 
7.5%
신정동 5
 
3.4%
신월동 5
 
3.4%
2층 4
 
2.7%
지하1층 3
 
2.0%
목동동로 3
 
2.0%
22 2
 
1.4%
b1층 2
 
1.4%
Other values (63) 70
47.6%
2024-05-11T14:37:49.534621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
 
17.0%
동 39
 
5.2%
, 31
 
4.1%
목 29
 
3.9%
서 23
 
3.1%
( 22
 
2.9%
) 22
 
2.9%
로 22
 
2.9%
2 22
 
2.9%
양 22
 
2.9%
Other values (91) 389
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
57.2%
Space Separator 127
 
17.0%
Decimal Number 106
 
14.2%
Other Punctuation 32
 
4.3%
Open Punctuation 22
 
2.9%
Close Punctuation 22
 
2.9%
Uppercase Letter 10
 
1.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 39
 
9.1%
목 29
 
6.8%
서 23
 
5.4%
로 22
 
5.1%
양 22
 
5.1%
구 21
 
4.9%
특 21
 
4.9%
시 21
 
4.9%
별 21
 
4.9%
울 21
 
4.9%
Other values (67) 188
43.9%
Decimal Number
ValueCountFrequency (%)
2 22
20.8%
1 21
19.8%
0 15
14.2%
5 10
9.4%
7 10
9.4%
3 10
9.4%
4 8
 
7.5%
9 5
 
4.7%
8 3
 
2.8%
6 2
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
Y 2
20.0%
B 2
20.0%
X 1
10.0%
H 1
10.0%
O 1
10.0%
U 1
10.0%
M 1
10.0%
E 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 31
96.9%
& 1
 
3.1%
Space Separator
ValueCountFrequency (%)
127
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
57.2%
Common 310
41.4%
Latin 10
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 39
 
9.1%
목 29
 
6.8%
서 23
 
5.4%
로 22
 
5.1%
양 22
 
5.1%
구 21
 
4.9%
특 21
 
4.9%
시 21
 
4.9%
별 21
 
4.9%
울 21
 
4.9%
Other values (67) 188
43.9%
Common
ValueCountFrequency (%)
127
41.0%
, 31
 
10.0%
( 22
 
7.1%
) 22
 
7.1%
2 22
 
7.1%
1 21
 
6.8%
0 15
 
4.8%
5 10
 
3.2%
7 10
 
3.2%
3 10
 
3.2%
Other values (6) 20
 
6.5%
Latin
ValueCountFrequency (%)
Y 2
20.0%
B 2
20.0%
X 1
10.0%
H 1
10.0%
O 1
10.0%
U 1
10.0%
M 1
10.0%
E 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
57.2%
ASCII 320
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
39.7%
, 31
 
9.7%
( 22
 
6.9%
) 22
 
6.9%
2 22
 
6.9%
1 21
 
6.6%
0 15
 
4.7%
5 10
 
3.1%
7 10
 
3.1%
3 10
 
3.1%
Other values (14) 30
 
9.4%
Hangul
ValueCountFrequency (%)
동 39
 
9.1%
목 29
 
6.8%
서 23
 
5.4%
로 22
 
5.1%
양 22
 
5.1%
구 21
 
4.9%
특 21
 
4.9%
시 21
 
4.9%
별 21
 
4.9%
울 21
 
4.9%
Other values (67) 188
43.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)90.5%
Missing2
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean7990.2381
Minimum7903
Maximum8053
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:37:49.758551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7903
5-th percentile7909
Q17961
median7995
Q38015
95-th percentile8049
Maximum8053
Range150
Interquartile range (IQR)54

Descriptive statistics

Standard deviation41.948665
Coefficient of variation (CV)0.0052499893
Kurtosis-0.14011756
Mean7990.2381
Median Absolute Deviation (MAD)28
Skewness-0.60628393
Sum167795
Variance1759.6905
MonotonicityNot monotonic
2024-05-11T14:37:49.958556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
7992 2
 
8.7%
7993 2
 
8.7%
7961 1
 
4.3%
8041 1
 
4.3%
7997 1
 
4.3%
7909 1
 
4.3%
8001 1
 
4.3%
8029 1
 
4.3%
7998 1
 
4.3%
8015 1
 
4.3%
Other values (9) 9
39.1%
(Missing) 2
 
8.7%
ValueCountFrequency (%)
7903 1
4.3%
7909 1
4.3%
7936 1
4.3%
7946 1
4.3%
7955 1
4.3%
7961 1
4.3%
7992 2
8.7%
7993 2
8.7%
7995 1
4.3%
7997 1
4.3%
ValueCountFrequency (%)
8053 1
4.3%
8049 1
4.3%
8041 1
4.3%
8029 1
4.3%
8023 1
4.3%
8015 1
4.3%
8014 1
4.3%
8001 1
4.3%
7998 1
4.3%
7997 1
4.3%

사업장명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-05-11T14:37:50.244915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.0434783
Min length3

Characters and Unicode

Total characters208
Distinct characters103
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

Unique23 ?
Unique (%)100.0%

Sample

1st row홈플러스 목동점 챔피언
2nd row점핑업
3rd rowJump school(점프스쿨)
4th row미니랜드
5th row클래비키즈파크
ValueCountFrequency (%)
목동점 3
 
7.9%
헬로방방 2
 
5.3%
키즈카페 2
 
5.3%
신월점 1
 
2.6%
제이블리 1
 
2.6%
옥토넛 1
 
2.6%
팝업스토어 1
 
2.6%
킨더플레이파크 1
 
2.6%
키즈까페 1
 
2.6%
홈플러스 1
 
2.6%
Other values (24) 24
63.2%
2024-05-11T14:37:50.897717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
7.2%
이 11
 
5.3%
점 9
 
4.3%
즈 7
 
3.4%
키 7
 
3.4%
스 6
 
2.9%
팡 5
 
2.4%
방 4
 
1.9%
( 3
 
1.4%
꼬 3
 
1.4%
Other values (93) 138
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
82.7%
Space Separator 15
 
7.2%
Lowercase Letter 12
 
5.8%
Open Punctuation 3
 
1.4%
Close Punctuation 3
 
1.4%
Uppercase Letter 3
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 11
 
6.4%
점 9
 
5.2%
즈 7
 
4.1%
키 7
 
4.1%
스 6
 
3.5%
팡 5
 
2.9%
방 4
 
2.3%
꼬 3
 
1.7%
크 3
 
1.7%
파 3
 
1.7%
Other values (77) 114
66.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
16.7%
i 1
8.3%
g 1
8.3%
n 1
8.3%
u 1
8.3%
m 1
8.3%
p 1
8.3%
s 1
8.3%
c 1
8.3%
h 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
J 1
33.3%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
82.7%
Common 21
 
10.1%
Latin 15
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 11
 
6.4%
점 9
 
5.2%
즈 7
 
4.1%
키 7
 
4.1%
스 6
 
3.5%
팡 5
 
2.9%
방 4
 
2.3%
꼬 3
 
1.7%
크 3
 
1.7%
파 3
 
1.7%
Other values (77) 114
66.3%
Latin
ValueCountFrequency (%)
A 2
13.3%
o 2
13.3%
i 1
 
6.7%
g 1
 
6.7%
n 1
 
6.7%
J 1
 
6.7%
u 1
 
6.7%
m 1
 
6.7%
p 1
 
6.7%
s 1
 
6.7%
Other values (3) 3
20.0%
Common
ValueCountFrequency (%)
15
71.4%
( 3
 
14.3%
) 3
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
82.7%
ASCII 36
 
17.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
41.7%
( 3
 
8.3%
) 3
 
8.3%
A 2
 
5.6%
o 2
 
5.6%
i 1
 
2.8%
g 1
 
2.8%
n 1
 
2.8%
J 1
 
2.8%
u 1
 
2.8%
Other values (6) 6
 
16.7%
Hangul
ValueCountFrequency (%)
이 11
 
6.4%
점 9
 
5.2%
즈 7
 
4.1%
키 7
 
4.1%
스 6
 
3.5%
팡 5
 
2.9%
방 4
 
2.3%
꼬 3
 
1.7%
크 3
 
1.7%
파 3
 
1.7%
Other values (77) 114
66.3%

최종수정일자
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2018-06-26 15:01:13
Maximum2024-03-15 09:03:10
2024-05-11T14:37:51.098997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:51.296830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
U
21 
I
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 21
91.3%
I 2
 
8.7%

Length

2024-05-11T14:37:51.510022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:51.671485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 21
91.3%
i 2
 
8.7%

데이터갱신일자
Date

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:07:00
2024-05-11T14:37:51.824888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:37:52.018637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

좌표정보(X)
Real number (ℝ)

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187589.89
Minimum184698.08
Maximum189209.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:37:52.205055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184698.08
5-th percentile185129.82
Q1185895.3
median188172.02
Q3188729.19
95-th percentile189184.79
Maximum189209.77
Range4511.6832
Interquartile range (IQR)2833.8905

Descriptive statistics

Standard deviation1531.4097
Coefficient of variation (CV)0.0081636045
Kurtosis-1.0542662
Mean187589.89
Median Absolute Deviation (MAD)621.4797
Skewness-0.80845953
Sum4314567.5
Variance2345215.6
MonotonicityNot monotonic
2024-05-11T14:37:52.374800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
188729.190478822 2
 
8.7%
187958.092030428 2
 
8.7%
188500.733025206 1
 
4.3%
188977.171050288 1
 
4.3%
184698.083646784 1
 
4.3%
188472.759197224 1
 
4.3%
189209.766829168 1
 
4.3%
185822.813700215 1
 
4.3%
188884.075622342 1
 
4.3%
188793.497546726 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
184698.083646784 1
4.3%
185125.957709458 1
4.3%
185164.559946017 1
4.3%
185482.024322984 1
4.3%
185638.316895237 1
4.3%
185822.813700215 1
4.3%
185967.786223042 1
4.3%
187907.215245569 1
4.3%
187958.092030428 2
8.7%
188074.602817116 1
4.3%
ValueCountFrequency (%)
189209.766829168 1
4.3%
189207.858129639 1
4.3%
188977.171050288 1
4.3%
188884.075622342 1
4.3%
188793.497546726 1
4.3%
188729.190478822 2
8.7%
188572.108662809 1
4.3%
188521.56594345 1
4.3%
188500.733025206 1
4.3%
188472.759197224 1
4.3%

좌표정보(Y)
Real number (ℝ)

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447224.71
Minimum445567.66
Maximum449614.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:37:52.541321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445567.66
5-th percentile445698.97
Q1446532.24
median447186.89
Q3447572.61
95-th percentile448746.23
Maximum449614.07
Range4046.4057
Interquartile range (IQR)1040.3738

Descriptive statistics

Standard deviation1013.715
Coefficient of variation (CV)0.0022666793
Kurtosis0.081349655
Mean447224.71
Median Absolute Deviation (MAD)605.73695
Skewness0.52852381
Sum10286168
Variance1027618.1
MonotonicityNot monotonic
2024-05-11T14:37:52.772331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
447572.610039376 2
 
8.7%
447473.204071066 2
 
8.7%
446194.793236919 1
 
4.3%
447466.355031447 1
 
4.3%
448206.385453779 1
 
4.3%
447091.855963511 1
 
4.3%
446669.191426415 1
 
4.3%
446581.151657254 1
 
4.3%
447186.888604306 1
 
4.3%
446277.050684118 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
445567.662820864 1
4.3%
445643.874069493 1
4.3%
446194.793236919 1
4.3%
446277.050684118 1
4.3%
446358.170363515 1
4.3%
446483.320771553 1
4.3%
446581.151657254 1
4.3%
446669.191426415 1
4.3%
446728.591967641 1
4.3%
446931.579709369 1
4.3%
ValueCountFrequency (%)
449614.068537704 1
4.3%
448756.033565786 1
4.3%
448657.989936291 1
4.3%
448462.820807604 1
4.3%
448206.385453779 1
4.3%
447572.610039376 2
8.7%
447473.204071066 2
8.7%
447466.355031447 1
4.3%
447198.912625565 1
4.3%
447186.888604306 1
4.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
신고유원시설업
16 
<NA>
7 

Length

Max length7
Median length7
Mean length6.0869565
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신고유원시설업 16
69.6%
<NA> 7
30.4%

Length

2024-05-11T14:37:53.009375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:53.213251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신고유원시설업 16
69.6%
na 7
30.4%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing20
Missing (%)87.0%
Memory size316.0 B
2024-05-11T14:37:53.410651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.3333333
Min length4

Characters and Unicode

Total characters16
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row일반주거지역
2nd row일반주거지역
3rd row주거지역
ValueCountFrequency (%)
일반주거지역 2
66.7%
주거지역 1
33.3%
2024-05-11T14:37:53.894993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 3
18.8%
거 3
18.8%
지 3
18.8%
역 3
18.8%
일 2
12.5%
반 2
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 3
18.8%
거 3
18.8%
지 3
18.8%
역 3
18.8%
일 2
12.5%
반 2
12.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 3
18.8%
거 3
18.8%
지 3
18.8%
역 3
18.8%
일 2
12.5%
반 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 3
18.8%
거 3
18.8%
지 3
18.8%
역 3
18.8%
일 2
12.5%
반 2
12.5%

총층수
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
18 
0
3 
5
 
1
7
 
1

Length

Max length4
Median length4
Mean length3.3478261
Min length1

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row<NA>
2nd row5
3rd row7
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
78.3%
0 3
 
13.0%
5 1
 
4.3%
7 1
 
4.3%

Length

2024-05-11T14:37:54.116822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:54.277454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
78.3%
0 3
 
13.0%
5 1
 
4.3%
7 1
 
4.3%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing20
Missing (%)87.0%
Memory size316.0 B
2024-05-11T14:37:54.462048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters15
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row주택가주변
2nd row주택가주변
3rd row아파트지역
ValueCountFrequency (%)
주택가주변 2
66.7%
아파트지역 1
33.3%
2024-05-11T14:37:54.890196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
26.7%
택 2
13.3%
가 2
13.3%
변 2
13.3%
아 1
 
6.7%
파 1
 
6.7%
트 1
 
6.7%
지 1
 
6.7%
역 1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
26.7%
택 2
13.3%
가 2
13.3%
변 2
13.3%
아 1
 
6.7%
파 1
 
6.7%
트 1
 
6.7%
지 1
 
6.7%
역 1
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
26.7%
택 2
13.3%
가 2
13.3%
변 2
13.3%
아 1
 
6.7%
파 1
 
6.7%
트 1
 
6.7%
지 1
 
6.7%
역 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
26.7%
택 2
13.3%
가 2
13.3%
변 2
13.3%
아 1
 
6.7%
파 1
 
6.7%
트 1
 
6.7%
지 1
 
6.7%
역 1
 
6.7%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing21
Missing (%)91.3%
Memory size316.0 B
2024-05-11T14:37:55.166587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근린생활시설
2nd row근린생활시설
ValueCountFrequency (%)
근린생활시설 2
100.0%
2024-05-11T14:37:55.574250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

지상층수
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
17 
0
3 
5
 
1
7
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.2173913
Min length1

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row<NA>
2nd row5
3rd row7
4th row6
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 17
73.9%
0 3
 
13.0%
5 1
 
4.3%
7 1
 
4.3%
6 1
 
4.3%

Length

2024-05-11T14:37:55.841571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:56.092555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
73.9%
0 3
 
13.0%
5 1
 
4.3%
7 1
 
4.3%
6 1
 
4.3%

지하층수
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
18 
0
3 
1
2 

Length

Max length4
Median length4
Mean length3.3478261
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row1
3rd row1
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
78.3%
0 3
 
13.0%
1 2
 
8.7%

Length

2024-05-11T14:37:56.398160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:56.600907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
78.3%
0 3
 
13.0%
1 2
 
8.7%

객실수
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
3 

Length

Max length4
Median length4
Mean length3.6086957
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> 20
87.0%
0 3
 
13.0%

Length

2024-05-11T14:37:56.816890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:57.000418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 3
 
13.0%

건축연면적
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
3 

Length

Max length4
Median length4
Mean length3.6086957
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> 20
87.0%
0 3
 
13.0%

Length

2024-05-11T14:37:57.230846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:57.422530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 3
 
13.0%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

선박총톤수
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
3 

Length

Max length4
Median length4
Mean length3.6086957
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> 20
87.0%
0 3
 
13.0%

Length

2024-05-11T14:37:57.617871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:57.809006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 3
 
13.0%

선박척수
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
3 

Length

Max length4
Median length4
Mean length3.6086957
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> 20
87.0%
0 3
 
13.0%

Length

2024-05-11T14:37:57.988794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:58.145623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 3
 
13.0%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

무대면적
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
3 

Length

Max length4
Median length4
Mean length3.6086957
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> 20
87.0%
0 3
 
13.0%

Length

2024-05-11T14:37:58.317828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:58.491451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 3
 
13.0%

좌석수
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
3 

Length

Max length4
Median length4
Mean length3.6086957
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> 20
87.0%
0 3
 
13.0%

Length

2024-05-11T14:37:58.670341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:58.838865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 3
 
13.0%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
3 

Length

Max length4
Median length4
Mean length3.6086957
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> 20
87.0%
0 3
 
13.0%

Length

2024-05-11T14:37:59.023553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:59.192730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 3
 
13.0%

시설면적
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing11
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean276.7075
Minimum56
Maximum510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:37:59.329545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile77.956
Q1158.25
median267.6
Q3375.5125
95-th percentile501.86
Maximum510
Range454
Interquartile range (IQR)217.2625

Descriptive statistics

Standard deviation153.38846
Coefficient of variation (CV)0.55433431
Kurtosis-1.0477817
Mean276.7075
Median Absolute Deviation (MAD)116.1
Skewness0.27857041
Sum3320.49
Variance23528.02
MonotonicityNot monotonic
2024-05-11T14:37:59.523549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
222.12 1
 
4.3%
495.2 1
 
4.3%
95.92 1
 
4.3%
56.0 1
 
4.3%
510.0 1
 
4.3%
271.2 1
 
4.3%
264.0 1
 
4.3%
292.58 1
 
4.3%
165.0 1
 
4.3%
464.68 1
 
4.3%
Other values (2) 2
 
8.7%
(Missing) 11
47.8%
ValueCountFrequency (%)
56.0 1
4.3%
95.92 1
4.3%
138.0 1
4.3%
165.0 1
4.3%
222.12 1
4.3%
264.0 1
4.3%
271.2 1
4.3%
292.58 1
4.3%
345.79 1
4.3%
464.68 1
4.3%
ValueCountFrequency (%)
510.0 1
4.3%
495.2 1
4.3%
464.68 1
4.3%
345.79 1
4.3%
292.58 1
4.3%
271.2 1
4.3%
264.0 1
4.3%
222.12 1
4.3%
165.0 1
4.3%
138.0 1
4.3%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

놀이시설수
Categorical

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
15 
0
3 
2
2 
3
 
1
1
 
1

Length

Max length4
Median length4
Mean length2.9565217
Min length1

Unique

Unique3 ?
Unique (%)13.0%

Sample

1st row<NA>
2nd row2
3rd row3
4th row1
5th row5

Common Values

ValueCountFrequency (%)
<NA> 15
65.2%
0 3
 
13.0%
2 2
 
8.7%
3 1
 
4.3%
1 1
 
4.3%
5 1
 
4.3%

Length

2024-05-11T14:37:59.735005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:37:59.930418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
65.2%
0 3
 
13.0%
2 2
 
8.7%
3 1
 
4.3%
1 1
 
4.3%
5 1
 
4.3%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

자본금
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
0
3 

Length

Max length4
Median length4
Mean length3.6086957
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> 20
87.0%
0 3
 
13.0%

Length

2024-05-11T14:38:00.173078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:00.319620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
0 3
 
13.0%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)100.0%
Memory size339.0 B

시설규모
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)100.0%
Missing11
Missing (%)47.8%
Infinite0
Infinite (%)0.0%
Mean276.75
Minimum56
Maximum510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-05-11T14:38:00.458575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile78
Q1158.25
median267.5
Q3375.75
95-th percentile501.75
Maximum510
Range454
Interquartile range (IQR)217.5

Descriptive statistics

Standard deviation153.40684
Coefficient of variation (CV)0.5543156
Kurtosis-1.0500381
Mean276.75
Median Absolute Deviation (MAD)116
Skewness0.27793977
Sum3321
Variance23533.659
MonotonicityNot monotonic
2024-05-11T14:38:00.635478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
222 1
 
4.3%
495 1
 
4.3%
96 1
 
4.3%
56 1
 
4.3%
510 1
 
4.3%
271 1
 
4.3%
264 1
 
4.3%
293 1
 
4.3%
165 1
 
4.3%
465 1
 
4.3%
Other values (2) 2
 
8.7%
(Missing) 11
47.8%
ValueCountFrequency (%)
56 1
4.3%
96 1
4.3%
138 1
4.3%
165 1
4.3%
222 1
4.3%
264 1
4.3%
271 1
4.3%
293 1
4.3%
346 1
4.3%
465 1
4.3%
ValueCountFrequency (%)
510 1
4.3%
495 1
4.3%
465 1
4.3%
346 1
4.3%
293 1
4.3%
271 1
4.3%
264 1
4.3%
222 1
4.3%
165 1
4.3%
138 1
4.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03140000CDFI52720020150000012015-10-05<NA>1영업/정상13영업중<NA><NA><NA><NA>2646-0970<NA><NA>서울특별시 양천구 목동 919-7 홈플러스 목동점 XHY8호서울특별시 양천구 목동서로 170, B1층 XHY8호 (목동, 홈플러스목동점)7992홈플러스 목동점 챔피언2024-03-15 09:03:10U2023-12-02 23:07:00.0<NA>188729.190479447572.610039<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>
13140000CDFI527200201600000120160331<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 609-22번지 정목빌딩서울특별시 양천구 목동중앙북로7가길 10, 201호 (목동, 정목빌딩)7946점핑업2020-03-19 10:37:05U2020-03-21 02:40:00.0<NA>188172.017847449614.068538신고유원시설업<NA>일반주거지역5주택가주변<NA><NA>근린생활시설51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>222.12<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>222
23140000CDFI527200201600000220160705<NA>3폐업3폐업20181015<NA><NA><NA>07042117740<NA><NA>서울특별시 양천구 목동 808-1번지 경원빌딩서울특별시 양천구 목동로 234, 6층 (목동, 경원빌딩)7993Jump school(점프스쿨)2018-10-16 14:07:37U2018-10-18 02:35:36.0<NA>187958.09203447473.204071신고유원시설업<NA>일반주거지역7주택가주변<NA><NA>근린생활시설71<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>495.2<NA>3<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>495
33140000CDFI527200201600000320161006<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 754-4 3층서울특별시 양천구 목동중앙본로 17, 3층 (목동)7961미니랜드2020-08-05 10:04:09U2020-08-07 02:40:00.0<NA>188521.565943448462.820808신고유원시설업<NA>주거지역<NA>아파트지역<NA><NA><NA>6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>95.92<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>96
43140000CDFI527200201600000420161229<NA>3폐업3폐업20170901<NA><NA><NA>07048211302<NA><NA>서울특별시 양천구 목동 923-5번지 한국방송회관,1,2층서울특별시 양천구 목동동로 233, 1,2층 (목동, 한국방송회관)7995클래비키즈파크2018-06-26 15:01:13I2018-08-31 23:59:59.0<NA>188572.108663447198.912626신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53140000CDFI52720020170000012017-05-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 718-2 공덕빌라 105호서울특별시 양천구 목동중앙남로 72, 105호 (목동, 공덕빌라)7955꼬꼬마놀이터2024-01-17 09:01:21U2023-11-30 23:09:00.0<NA>188074.602817448657.989936<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>
63140000CDFI527200201700000220171109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 919-7 홈플러스목동점 지하1층호서울특별시 양천구 목동서로 170, 지하1층 (목동)7992맥스라이더 목동점2020-08-05 10:38:21U2020-08-07 02:40:00.0<NA>188729.190479447572.610039신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>56.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>56
73140000CDFI527200201800000120180620<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 1009-4 YOU&ME법조빌딩서울특별시 양천구 신월로 387, YOU&ME법조빌딩 지하1층 (신정동)8023헬로방방2022-03-25 13:24:00U2022-03-27 02:40:00.0<NA>187907.215246446728.591968신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0510.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>510
83140000CDFI527200201800000220180719<NA>3폐업3폐업20180831<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 871-2번지<NA><NA>안양천생태공원 어린이물놀이장2018-08-31 17:53:33I2018-08-31 23:59:59.0<NA>189207.85813446483.320772신고유원시설업<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>
93140000CDFI527200201800000320180723<NA>3폐업3폐업20210604<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 20-28 세진아파트서울특별시 양천구 월정로46길 11, 2층 204호 (신월동, 세진아파트)7903쑥쑥팡팡2021-06-04 14:42:56U2021-06-06 02:40:00.0<NA>185164.559946448756.033566신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>271.2<NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>271
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
133140000CDFI527200201800000720181026<NA>3폐업3폐업20201223<NA><NA><NA>02-2644-9617<NA><NA>서울특별시 양천구 신정동 294-36 명신빌딩서울특별시 양천구 목동동로8길 9, 명신빌딩 2층 (신정동)8014자이언트키즈2020-12-23 10:37:24U2020-12-25 02:40:00.0<NA>188500.733025446194.793237신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>292.58<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>293
143140000CDFI527200201900000120190312<NA>3폐업3폐업20200814<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 991-2서울특별시 양천구 지양로 32, 지하1층 (신월동)8041헬로방방 신월점2020-08-14 17:13:43U2020-08-16 02:40:00.0<NA>185482.024323446358.170364신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>165.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>165
153140000CDFI52720020190000022019-04-26<NA>1영업/정상13영업중<NA><NA><NA><NA>0226468353<NA><NA>서울특별시 양천구 신정동 128-113서울특별시 양천구 신목로 34, 4층 402호 (신정동)8015제이블리2023-11-14 18:07:22U2022-10-31 23:06:00.0<NA>188793.497547446277.050684<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>
163140000CDFI527200201900000320190501<NA>3폐업3폐업20191113<NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 916번지 현대하이페리온서울특별시 양천구 목동동로 257, 7층 (목동, 현대하이페리온)7998옥토넛 팝업스토어 킨더플레이파크2019-12-11 17:43:45U2019-12-13 02:40:00.0<NA>188884.075622447186.888604신고유원시설업<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>
173140000CDFI527200201900000420190502<NA>3폐업3폐업20221128<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 519-1 뉴스타빌딩 501호서울특별시 양천구 오목로 22, 뉴스타빌딩 501,502호 (신월동)8029키즈까페 AAing(아잉)2022-11-29 09:06:22U2021-11-02 00:01:00.0<NA>185822.8137446581.151657<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>
183140000CDFI527200201900000520190726<NA>3폐업3폐업20190821<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 871번지 - 2<NA><NA>안양천어린이물놀이장2019-10-08 16:45:53U2019-10-10 02:40:00.0<NA>189209.766829446669.191426신고유원시설업<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>
193140000CDFI527200201900000620190730<NA>3폐업3폐업20210731<NA><NA><NA>0226550604<NA><NA>서울특별시 양천구 목동 808-1 경원빌딩서울특별시 양천구 목동로 234, 경원빌딩 3층 (목동)7993(주)창의력공장 키즈카페2021-08-06 18:13:11U2021-08-08 02:40:00.0<NA>187958.09203447473.204071신고유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>464.68<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>465
203140000CDFI527200201900000820191119<NA>3폐업3폐업20211101<NA><NA><NA>02-2062-2006<NA><NA>서울특별시 양천구 목동 962 목동트라팰리스 이마트 목동점 B1층서울특별시 양천구 오목로 299, 목동트라팰리스 이마트 목동점 B1층 (목동)8001브라보 키즈파크2021-11-01 18:31:40U2021-11-03 02:40:00.0<NA>188472.759197447091.855964신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0345.79<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>346
213140000CDFI527200201900000920191202<NA>3폐업3폐업20210629<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 49-10 정헌빌딩 501호서울특별시 양천구 가로공원로 105, 정헌빌딩 5층 501호 (신월동)7909퍼니팡팡 키즈카페2022-02-03 17:28:50U2022-02-05 02:40:00.0<NA>184698.083647448206.385454신고유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0138.0<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>138
223140000CDFI52720020220000012022-10-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 917-6 중소기업유통센터(행복한백화점)서울특별시 양천구 목동동로 309, 중소기업유통센터(행복한백화점) 9층 (목동)7997리틀마운틴 행복한백화점 목동점2023-11-14 16:58:11U2022-10-31 23:06:00.0<NA>188977.17105447466.355031<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>