Overview

Dataset statistics

Number of variables60
Number of observations30
Missing cells779
Missing cells (%)43.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory526.4 B

Variable types

Categorical22
Text9
DateTime4
Unsupported23
Numeric2

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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-16865/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
총층수 is highly imbalanced (61.7%)Imbalance
지상층수 is highly imbalanced (64.6%)Imbalance
지하층수 is highly imbalanced (64.7%)Imbalance
객실수 is highly imbalanced (64.7%)Imbalance
건축연면적 is highly imbalanced (64.7%)Imbalance
선박총톤수 is highly imbalanced (64.7%)Imbalance
선박척수 is highly imbalanced (64.7%)Imbalance
무대면적 is highly imbalanced (64.7%)Imbalance
좌석수 is highly imbalanced (64.7%)Imbalance
회의실별동시수용인원 is highly imbalanced (64.7%)Imbalance
시설면적 is highly imbalanced (64.7%)Imbalance
놀이시설수 is highly imbalanced (64.7%)Imbalance
자본금 is highly imbalanced (64.7%)Imbalance
시설규모 is highly imbalanced (64.7%)Imbalance
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 14 (46.7%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 7 (23.3%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
소재지우편번호 has 12 (40.0%) missing valuesMissing
도로명우편번호 has 2 (6.7%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
지역구분명 has 30 (100.0%) missing valuesMissing
주변환경명 has 28 (93.3%) missing valuesMissing
제작취급품목내용 has 30 (100.0%) missing valuesMissing
보험기관명 has 30 (100.0%) missing valuesMissing
건물용도명 has 26 (86.7%) missing valuesMissing
영문상호명 has 30 (100.0%) missing valuesMissing
영문상호주소 has 30 (100.0%) missing valuesMissing
선박제원 has 30 (100.0%) missing valuesMissing
기념품종류 has 30 (100.0%) missing valuesMissing
놀이기구수내역 has 30 (100.0%) missing valuesMissing
방송시설유무 has 30 (100.0%) missing valuesMissing
발전시설유무 has 30 (100.0%) missing valuesMissing
의무실유무 has 30 (100.0%) missing valuesMissing
안내소유무 has 30 (100.0%) missing valuesMissing
기획여행보험시작일자 has 30 (100.0%) missing valuesMissing
기획여행보험종료일자 has 30 (100.0%) missing valuesMissing
보험시작일자 has 30 (100.0%) missing valuesMissing
보험종료일자 has 30 (100.0%) missing valuesMissing
부대시설내역 has 30 (100.0%) missing valuesMissing
관리번호 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
업태구분명 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
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 02:52:12.764893
Analysis finished2024-05-11 02:52:13.922082
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3230000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 30
100.0%

Length

2024-05-11T02:52:14.111397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:14.321623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 30
100.0%

관리번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T02:52:14.628191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters600
Distinct characters13
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowCDFE1230002001000001
2nd rowCDFE1230002003000001
3rd rowCDFE1230002003000002
4th rowCDFE1230002003000003
5th rowCDFE1230002003000004
ValueCountFrequency (%)
cdfe1230002001000001 1
 
3.3%
cdfe1230002003000001 1
 
3.3%
cdfe1230002022000003 1
 
3.3%
cdfe1230002022000002 1
 
3.3%
cdfe1230002022000001 1
 
3.3%
cdfe1230002020000001 1
 
3.3%
cdfe1230002019000002 1
 
3.3%
cdfe1230002019000001 1
 
3.3%
cdfe1230002018000002 1
 
3.3%
cdfe1230002018000001 1
 
3.3%
Other values (20) 20
66.7%
2024-05-11T02:52:15.414052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 280
46.7%
2 77
 
12.8%
1 68
 
11.3%
3 38
 
6.3%
C 30
 
5.0%
D 30
 
5.0%
F 30
 
5.0%
E 30
 
5.0%
4 4
 
0.7%
5 4
 
0.7%
Other values (3) 9
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
80.0%
Uppercase Letter 120
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 280
58.3%
2 77
 
16.0%
1 68
 
14.2%
3 38
 
7.9%
4 4
 
0.8%
5 4
 
0.8%
6 3
 
0.6%
8 3
 
0.6%
9 3
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
C 30
25.0%
D 30
25.0%
F 30
25.0%
E 30
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
80.0%
Latin 120
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 280
58.3%
2 77
 
16.0%
1 68
 
14.2%
3 38
 
7.9%
4 4
 
0.8%
5 4
 
0.8%
6 3
 
0.6%
8 3
 
0.6%
9 3
 
0.6%
Latin
ValueCountFrequency (%)
C 30
25.0%
D 30
25.0%
F 30
25.0%
E 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 280
46.7%
2 77
 
12.8%
1 68
 
11.3%
3 38
 
6.3%
C 30
 
5.0%
D 30
 
5.0%
F 30
 
5.0%
E 30
 
5.0%
4 4
 
0.7%
5 4
 
0.7%
Other values (3) 9
 
1.5%

인허가일자
Date

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2001-08-03 00:00:00
Maximum2023-10-20 00:00:00
2024-05-11T02:52:15.789887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:52:16.170073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
16 
1
13 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 16
53.3%
1 13
43.3%
4 1
 
3.3%

Length

2024-05-11T02:52:16.448488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:16.630097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 16
53.3%
1 13
43.3%
4 1
 
3.3%

영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
폐업
16 
영업/정상
13 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length2
Mean length3.7
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 16
53.3%
영업/정상 13
43.3%
취소/말소/만료/정지/중지 1
 
3.3%

Length

2024-05-11T02:52:16.966222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:17.294590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 16
53.3%
영업/정상 13
43.3%
취소/말소/만료/정지/중지 1
 
3.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
16 
13
13 
35
 
1

Length

Max length2
Median length1
Mean length1.4666667
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 16
53.3%
13 13
43.3%
35 1
 
3.3%

Length

2024-05-11T02:52:17.668414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:17.997616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 16
53.3%
13 13
43.3%
35 1
 
3.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
폐업
16 
영업중
13 
직권말소
 
1

Length

Max length4
Median length2
Mean length2.5
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 16
53.3%
영업중 13
43.3%
직권말소 1
 
3.3%

Length

2024-05-11T02:52:18.385108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:18.929204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 16
53.3%
영업중 13
43.3%
직권말소 1
 
3.3%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)93.8%
Missing14
Missing (%)46.7%
Memory size372.0 B
Minimum2008-12-27 00:00:00
Maximum2023-12-29 00:00:00
2024-05-11T02:52:19.215260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:52:19.550508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

MISSING 

Distinct19
Distinct (%)82.6%
Missing7
Missing (%)23.3%
Memory size372.0 B
2024-05-11T02:52:19.896332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.913043
Min length8

Characters and Unicode

Total characters251
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)69.6%

Sample

1st row02-2203-3330
2nd row02-411-2224
3rd row02-411-3968
4th row02-411-4064
5th row02-2143-1201
ValueCountFrequency (%)
02-2240-8711 3
 
13.0%
02-410-1568 2
 
8.7%
02-516-8360 2
 
8.7%
02-350-7942 1
 
4.3%
02-411-4064 1
 
4.3%
02-2143-1201 1
 
4.3%
411-5020 1
 
4.3%
410-1531 1
 
4.3%
02-2157-4015 1
 
4.3%
425-6235 1
 
4.3%
Other values (9) 9
39.1%
2024-05-11T02:52:20.778869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43
17.1%
2 40
15.9%
- 40
15.9%
1 36
14.3%
4 23
9.2%
3 16
 
6.4%
5 15
 
6.0%
7 12
 
4.8%
6 12
 
4.8%
8 10
 
4.0%
Other values (2) 4
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210
83.7%
Dash Punctuation 40
 
15.9%
Close Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43
20.5%
2 40
19.0%
1 36
17.1%
4 23
11.0%
3 16
 
7.6%
5 15
 
7.1%
7 12
 
5.7%
6 12
 
5.7%
8 10
 
4.8%
9 3
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 251
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43
17.1%
2 40
15.9%
- 40
15.9%
1 36
14.3%
4 23
9.2%
3 16
 
6.4%
5 15
 
6.0%
7 12
 
4.8%
6 12
 
4.8%
8 10
 
4.0%
Other values (2) 4
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 251
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43
17.1%
2 40
15.9%
- 40
15.9%
1 36
14.3%
4 23
9.2%
3 16
 
6.4%
5 15
 
6.0%
7 12
 
4.8%
6 12
 
4.8%
8 10
 
4.0%
Other values (2) 4
 
1.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지우편번호
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing12
Missing (%)40.0%
Memory size372.0 B
2024-05-11T02:52:21.106652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.2222222
Min length6

Characters and Unicode

Total characters112
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

Unique6 ?
Unique (%)33.3%

Sample

1st row138851
2nd row138220
3rd row138220
4th row138220
5th row138220
ValueCountFrequency (%)
138220 7
38.9%
138-050 3
16.7%
138960 2
 
11.1%
138851 1
 
5.6%
138889 1
 
5.6%
138-749 1
 
5.6%
138240 1
 
5.6%
138934 1
 
5.6%
138830 1
 
5.6%
2024-05-11T02:52:21.832262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 22
19.6%
3 20
17.9%
1 19
17.0%
0 17
15.2%
2 15
13.4%
9 5
 
4.5%
- 4
 
3.6%
5 4
 
3.6%
4 3
 
2.7%
6 2
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
96.4%
Dash Punctuation 4
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 22
20.4%
3 20
18.5%
1 19
17.6%
0 17
15.7%
2 15
13.9%
9 5
 
4.6%
5 4
 
3.7%
4 3
 
2.8%
6 2
 
1.9%
7 1
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 22
19.6%
3 20
17.9%
1 19
17.0%
0 17
15.2%
2 15
13.4%
9 5
 
4.5%
- 4
 
3.6%
5 4
 
3.6%
4 3
 
2.7%
6 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 22
19.6%
3 20
17.9%
1 19
17.0%
0 17
15.2%
2 15
13.4%
9 5
 
4.5%
- 4
 
3.6%
5 4
 
3.6%
4 3
 
2.7%
6 2
 
1.8%

지번주소
Text

Distinct23
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T02:52:22.238402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length30
Mean length23.766667
Min length16

Characters and Unicode

Total characters713
Distinct characters70
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

Unique19 ?
Unique (%)63.3%

Sample

1st row서울특별시 송파구 송파동 113-2번지
2nd row서울특별시 송파구 잠실동 47번지
3rd row서울특별시 송파구 잠실동 40-1번지
4th row서울특별시 송파구 잠실동 40-1번지
5th row서울특별시 송파구 잠실동 40-1번지
ValueCountFrequency (%)
서울특별시 30
21.3%
송파구 30
21.3%
잠실동 17
12.1%
서울종합운동장 6
 
4.3%
방이동 6
 
4.3%
10번지 5
 
3.5%
40-1번지 4
 
2.8%
10 4
 
2.8%
88-2 3
 
2.1%
문정동 2
 
1.4%
Other values (28) 34
24.1%
2024-05-11T02:52:23.068517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
18.7%
서 37
 
5.2%
울 37
 
5.2%
동 37
 
5.2%
파 33
 
4.6%
송 31
 
4.3%
특 30
 
4.2%
별 30
 
4.2%
시 30
 
4.2%
구 30
 
4.2%
Other values (60) 285
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 473
66.3%
Space Separator 133
 
18.7%
Decimal Number 91
 
12.8%
Dash Punctuation 14
 
2.0%
Uppercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 37
 
7.8%
울 37
 
7.8%
동 37
 
7.8%
파 33
 
7.0%
송 31
 
6.6%
특 30
 
6.3%
별 30
 
6.3%
시 30
 
6.3%
구 30
 
6.3%
지 19
 
4.0%
Other values (46) 159
33.6%
Decimal Number
ValueCountFrequency (%)
1 26
28.6%
0 19
20.9%
2 11
12.1%
4 9
 
9.9%
8 8
 
8.8%
5 5
 
5.5%
6 4
 
4.4%
3 3
 
3.3%
9 3
 
3.3%
7 3
 
3.3%
Space Separator
ValueCountFrequency (%)
133
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 473
66.3%
Common 239
33.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 37
 
7.8%
울 37
 
7.8%
동 37
 
7.8%
파 33
 
7.0%
송 31
 
6.6%
특 30
 
6.3%
별 30
 
6.3%
시 30
 
6.3%
구 30
 
6.3%
지 19
 
4.0%
Other values (46) 159
33.6%
Common
ValueCountFrequency (%)
133
55.6%
1 26
 
10.9%
0 19
 
7.9%
- 14
 
5.9%
2 11
 
4.6%
4 9
 
3.8%
8 8
 
3.3%
5 5
 
2.1%
6 4
 
1.7%
3 3
 
1.3%
Other values (3) 7
 
2.9%
Latin
ValueCountFrequency (%)
Y 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 473
66.3%
ASCII 240
33.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
55.4%
1 26
 
10.8%
0 19
 
7.9%
- 14
 
5.8%
2 11
 
4.6%
4 9
 
3.8%
8 8
 
3.3%
5 5
 
2.1%
6 4
 
1.7%
3 3
 
1.2%
Other values (4) 8
 
3.3%
Hangul
ValueCountFrequency (%)
서 37
 
7.8%
울 37
 
7.8%
동 37
 
7.8%
파 33
 
7.0%
송 31
 
6.6%
특 30
 
6.3%
별 30
 
6.3%
시 30
 
6.3%
구 30
 
6.3%
지 19
 
4.0%
Other values (46) 159
33.6%

도로명주소
Text

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T02:52:23.459681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length39
Mean length29.633333
Min length23

Characters and Unicode

Total characters889
Distinct characters91
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)66.7%

Sample

1st row서울특별시 송파구 백제고분로42길 5 (송파동)
2nd row서울특별시 송파구 삼학사로 136 (잠실동)
3rd row서울특별시 송파구 올림픽로 240 (잠실동)
4th row서울특별시 송파구 올림픽로 240 (잠실동)
5th row서울특별시 송파구 올림픽로 240 (잠실동)
ValueCountFrequency (%)
서울특별시 30
17.2%
송파구 30
17.2%
올림픽로 20
11.5%
잠실동 16
 
9.2%
25 9
 
5.2%
서울종합운동장 6
 
3.4%
240 5
 
2.9%
방이동 5
 
2.9%
424 4
 
2.3%
삼학사로 2
 
1.1%
Other values (40) 47
27.0%
2024-05-11T02:52:24.068112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
 
16.4%
서 37
 
4.2%
울 37
 
4.2%
동 36
 
4.0%
파 33
 
3.7%
송 31
 
3.5%
로 30
 
3.4%
( 30
 
3.4%
) 30
 
3.4%
구 30
 
3.4%
Other values (81) 449
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 566
63.7%
Space Separator 146
 
16.4%
Decimal Number 94
 
10.6%
Open Punctuation 30
 
3.4%
Close Punctuation 30
 
3.4%
Other Punctuation 18
 
2.0%
Dash Punctuation 2
 
0.2%
Uppercase Letter 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 37
 
6.5%
울 37
 
6.5%
동 36
 
6.4%
파 33
 
5.8%
송 31
 
5.5%
로 30
 
5.3%
구 30
 
5.3%
시 30
 
5.3%
별 30
 
5.3%
특 30
 
5.3%
Other values (64) 242
42.8%
Decimal Number
ValueCountFrequency (%)
2 21
22.3%
4 15
16.0%
5 14
14.9%
1 13
13.8%
0 13
13.8%
6 8
 
8.5%
3 6
 
6.4%
9 3
 
3.2%
8 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
Y 1
50.0%
Space Separator
ValueCountFrequency (%)
146
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 566
63.7%
Common 321
36.1%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 37
 
6.5%
울 37
 
6.5%
동 36
 
6.4%
파 33
 
5.8%
송 31
 
5.5%
로 30
 
5.3%
구 30
 
5.3%
시 30
 
5.3%
별 30
 
5.3%
특 30
 
5.3%
Other values (64) 242
42.8%
Common
ValueCountFrequency (%)
146
45.5%
( 30
 
9.3%
) 30
 
9.3%
2 21
 
6.5%
, 18
 
5.6%
4 15
 
4.7%
5 14
 
4.4%
1 13
 
4.0%
0 13
 
4.0%
6 8
 
2.5%
Other values (5) 13
 
4.0%
Latin
ValueCountFrequency (%)
B 1
50.0%
Y 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 566
63.7%
ASCII 323
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
45.2%
( 30
 
9.3%
) 30
 
9.3%
2 21
 
6.5%
, 18
 
5.6%
4 15
 
4.6%
5 14
 
4.3%
1 13
 
4.0%
0 13
 
4.0%
6 8
 
2.5%
Other values (7) 15
 
4.6%
Hangul
ValueCountFrequency (%)
서 37
 
6.5%
울 37
 
6.5%
동 36
 
6.4%
파 33
 
5.8%
송 31
 
5.5%
로 30
 
5.3%
구 30
 
5.3%
시 30
 
5.3%
별 30
 
5.3%
특 30
 
5.3%
Other values (64) 242
42.8%

도로명우편번호
Text

MISSING 

Distinct16
Distinct (%)57.1%
Missing2
Missing (%)6.7%
Memory size372.0 B
2024-05-11T02:52:24.348456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.7142857
Min length5

Characters and Unicode

Total characters160
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

Unique10 ?
Unique (%)35.7%

Sample

1st row138851
2nd row138915
3rd row138915
4th row138915
5th row138721
ValueCountFrequency (%)
05500 6
21.4%
138915 3
10.7%
138721 3
10.7%
138-749 2
 
7.1%
138960 2
 
7.1%
138-829 2
 
7.1%
138934 1
 
3.6%
138240 1
 
3.6%
138830 1
 
3.6%
05551 1
 
3.6%
Other values (6) 6
21.4%
2024-05-11T02:52:25.128014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30
18.8%
5 27
16.9%
1 24
15.0%
8 22
13.8%
3 18
11.2%
9 10
 
6.2%
7 7
 
4.4%
4 7
 
4.4%
2 6
 
3.8%
6 5
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 156
97.5%
Dash Punctuation 4
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
19.2%
5 27
17.3%
1 24
15.4%
8 22
14.1%
3 18
11.5%
9 10
 
6.4%
7 7
 
4.5%
4 7
 
4.5%
2 6
 
3.8%
6 5
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30
18.8%
5 27
16.9%
1 24
15.0%
8 22
13.8%
3 18
11.2%
9 10
 
6.2%
7 7
 
4.4%
4 7
 
4.4%
2 6
 
3.8%
6 5
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30
18.8%
5 27
16.9%
1 24
15.0%
8 22
13.8%
3 18
11.2%
9 10
 
6.2%
7 7
 
4.4%
4 7
 
4.4%
2 6
 
3.8%
6 5
 
3.1%

사업장명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T02:52:25.486078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length13
Mean length9.4
Min length2

Characters and Unicode

Total characters282
Distinct characters127
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row송파여성문화회관 소극장
2nd row야외공연장
3rd row가든스테이지
4th row동화극장
5th row환상의 오딧세이
ValueCountFrequency (%)
태양의서커스 3
 
6.1%
씨어터 2
 
4.1%
송파여성문화회관 1
 
2.0%
쿠자 1
 
2.0%
홀 1
 
2.0%
퀴담 1
 
2.0%
빅탑공연장 1
 
2.0%
롯데콘서트홀 1
 
2.0%
서울놀이마당 1
 
2.0%
ws 1
 
2.0%
Other values (36) 36
73.5%
2024-05-11T02:52:26.041344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
6.7%
장 11
 
3.9%
' 8
 
2.8%
홀 8
 
2.8%
이 8
 
2.8%
서 7
 
2.5%
아 7
 
2.5%
태 6
 
2.1%
의 6
 
2.1%
스 6
 
2.1%
Other values (117) 196
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
73.0%
Uppercase Letter 27
 
9.6%
Space Separator 19
 
6.7%
Lowercase Letter 13
 
4.6%
Other Punctuation 8
 
2.8%
Close Punctuation 3
 
1.1%
Open Punctuation 3
 
1.1%
Math Symbol 2
 
0.7%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 11
 
5.3%
홀 8
 
3.9%
이 8
 
3.9%
서 7
 
3.4%
아 7
 
3.4%
태 6
 
2.9%
의 6
 
2.9%
스 6
 
2.9%
트 6
 
2.9%
극 5
 
2.4%
Other values (87) 136
66.0%
Uppercase Letter
ValueCountFrequency (%)
C 3
11.1%
H 3
11.1%
A 3
11.1%
R 2
 
7.4%
F 2
 
7.4%
D 2
 
7.4%
K 2
 
7.4%
L 2
 
7.4%
S 1
 
3.7%
B 1
 
3.7%
Other values (6) 6
22.2%
Lowercase Letter
ValueCountFrequency (%)
a 4
30.8%
l 3
23.1%
i 2
15.4%
c 1
 
7.7%
u 1
 
7.7%
s 1
 
7.7%
b 1
 
7.7%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
' 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
73.0%
Latin 40
 
14.2%
Common 36
 
12.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 11
 
5.3%
홀 8
 
3.9%
이 8
 
3.9%
서 7
 
3.4%
아 7
 
3.4%
태 6
 
2.9%
의 6
 
2.9%
스 6
 
2.9%
트 6
 
2.9%
극 5
 
2.4%
Other values (87) 136
66.0%
Latin
ValueCountFrequency (%)
a 4
 
10.0%
l 3
 
7.5%
C 3
 
7.5%
H 3
 
7.5%
A 3
 
7.5%
R 2
 
5.0%
F 2
 
5.0%
D 2
 
5.0%
K 2
 
5.0%
i 2
 
5.0%
Other values (13) 14
35.0%
Common
ValueCountFrequency (%)
19
52.8%
' 8
22.2%
) 3
 
8.3%
( 3
 
8.3%
< 1
 
2.8%
> 1
 
2.8%
- 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
73.0%
ASCII 76
 
27.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
25.0%
' 8
 
10.5%
a 4
 
5.3%
) 3
 
3.9%
( 3
 
3.9%
l 3
 
3.9%
C 3
 
3.9%
H 3
 
3.9%
A 3
 
3.9%
R 2
 
2.6%
Other values (20) 25
32.9%
Hangul
ValueCountFrequency (%)
장 11
 
5.3%
홀 8
 
3.9%
이 8
 
3.9%
서 7
 
3.4%
아 7
 
3.4%
태 6
 
2.9%
의 6
 
2.9%
스 6
 
2.9%
트 6
 
2.9%
극 5
 
2.4%
Other values (87) 136
66.0%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2011-02-24 17:33:42
Maximum2024-02-15 15:17:20
2024-05-11T02:52:26.533492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:52:26.935651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
U
16 
I
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 16
53.3%
I 14
46.7%

Length

2024-05-11T02:52:27.391262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:27.720670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 16
53.3%
i 14
46.7%

데이터갱신일자
Date

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 23:07:00
2024-05-11T02:52:28.009321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:52:28.331963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌표정보(X)
Real number (ℝ)

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208803.89
Minimum206383.83
Maximum212831.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T02:52:28.693463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206383.83
5-th percentile206383.83
Q1206383.83
median208688.96
Q3210198.39
95-th percentile211632.89
Maximum212831.03
Range6447.2038
Interquartile range (IQR)3814.5598

Descriptive statistics

Standard deviation1974.2252
Coefficient of variation (CV)0.0094549249
Kurtosis-1.0164859
Mean208803.89
Median Absolute Deviation (MAD)2305.1341
Skewness0.17996108
Sum6264116.8
Variance3897565
MonotonicityNot monotonic
2024-05-11T02:52:29.058344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
206383.829438022 9
30.0%
208589.363343145 5
16.7%
211073.35603022 3
 
10.0%
208788.563714618 2
 
6.7%
211053.119518 2
 
6.7%
209074.900840074 2
 
6.7%
209636.916608671 1
 
3.3%
210199.45921923 1
 
3.3%
210195.179434519 1
 
3.3%
207677.897099004 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
206383.829438022 9
30.0%
207677.897099004 1
 
3.3%
208589.363343145 5
16.7%
208788.563714618 2
 
6.7%
209074.900840074 2
 
6.7%
209636.916608671 1
 
3.3%
210031.154818512 1
 
3.3%
210195.179434519 1
 
3.3%
210199.45921923 1
 
3.3%
211053.119518 2
 
6.7%
ValueCountFrequency (%)
212831.033281342 1
 
3.3%
212090.685323707 1
 
3.3%
211073.35603022 3
10.0%
211053.119518 2
6.7%
210199.45921923 1
 
3.3%
210195.179434519 1
 
3.3%
210031.154818512 1
 
3.3%
209636.916608671 1
 
3.3%
209074.900840074 2
6.7%
208788.563714618 2
6.7%

좌표정보(Y)
Real number (ℝ)

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445360.02
Minimum442026.99
Maximum446539.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T02:52:29.424844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442026.99
5-th percentile442670.54
Q1445155.95
median445657.81
Q3446030.13
95-th percentile446095.11
Maximum446539.28
Range4512.2906
Interquartile range (IQR)874.17379

Descriptive statistics

Standard deviation1105.7667
Coefficient of variation (CV)0.0024828604
Kurtosis4.2349059
Mean445360.02
Median Absolute Deviation (MAD)372.31874
Skewness-2.1013209
Sum13360801
Variance1222720.1
MonotonicityNot monotonic
2024-05-11T02:52:29.821293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
446030.128073052 9
30.0%
445455.90405262 5
16.7%
446095.113429039 3
 
10.0%
445155.954281086 2
 
6.7%
442026.988783 2
 
6.7%
445657.80932984 2
 
6.7%
444858.989436237 1
 
3.3%
446539.279382444 1
 
3.3%
445142.953911157 1
 
3.3%
445075.689190034 1
 
3.3%
Other values (3) 3
 
10.0%
ValueCountFrequency (%)
442026.988783 2
 
6.7%
443457.104592042 1
 
3.3%
444169.045594177 1
 
3.3%
444858.989436237 1
 
3.3%
445075.689190034 1
 
3.3%
445142.953911157 1
 
3.3%
445155.954281086 2
 
6.7%
445455.90405262 5
16.7%
445657.80932984 2
 
6.7%
446030.128073052 9
30.0%
ValueCountFrequency (%)
446539.279382444 1
 
3.3%
446095.113429039 3
 
10.0%
446040.044744713 1
 
3.3%
446030.128073052 9
30.0%
445657.80932984 2
 
6.7%
445455.90405262 5
16.7%
445155.954281086 2
 
6.7%
445142.953911157 1
 
3.3%
445075.689190034 1
 
3.3%
444858.989436237 1
 
3.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
공연장
22 
<NA>
8 

Length

Max length4
Median length3
Mean length3.2666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 22
73.3%
<NA> 8
 
26.7%

Length

2024-05-11T02:52:30.225461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:30.575424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 22
73.3%
na 8
 
26.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
공연장
22 
<NA>
8 

Length

Max length4
Median length3
Mean length3.2666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공연장 22
73.3%
<NA> 8
 
26.7%

Length

2024-05-11T02:52:30.937575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:31.248941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공연장 22
73.3%
na 8
 
26.7%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
26 
0
 
2
10
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.6333333
Min length1

Unique

Unique2 ?
Unique (%)6.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
86.7%
0 2
 
6.7%
10 1
 
3.3%
1 1
 
3.3%

Length

2024-05-11T02:52:31.617297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:31.959775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
86.7%
0 2
 
6.7%
10 1
 
3.3%
1 1
 
3.3%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
2024-05-11T02:52:32.162675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
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 row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-05-11T02:52:32.793494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

건물용도명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing26
Missing (%)86.7%
Memory size372.0 B
2024-05-11T02:52:33.108534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.5
Min length2

Characters and Unicode

Total characters14
Distinct characters10
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

Unique2 ?
Unique (%)50.0%

Sample

1st row문화시설
2nd row기타
3rd row근린생활시설
4th row기타
ValueCountFrequency (%)
기타 2
50.0%
문화시설 1
25.0%
근린생활시설 1
25.0%
2024-05-11T02:52:33.803482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
14.3%
타 2
14.3%
시 2
14.3%
설 2
14.3%
문 1
7.1%
화 1
7.1%
근 1
7.1%
린 1
7.1%
생 1
7.1%
활 1
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
14.3%
타 2
14.3%
시 2
14.3%
설 2
14.3%
문 1
7.1%
화 1
7.1%
근 1
7.1%
린 1
7.1%
생 1
7.1%
활 1
7.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
14.3%
타 2
14.3%
시 2
14.3%
설 2
14.3%
문 1
7.1%
화 1
7.1%
근 1
7.1%
린 1
7.1%
생 1
7.1%
활 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
14.3%
타 2
14.3%
시 2
14.3%
설 2
14.3%
문 1
7.1%
화 1
7.1%
근 1
7.1%
린 1
7.1%
생 1
7.1%
활 1
7.1%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
27 
0
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.7
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
90.0%
0 2
 
6.7%
1 1
 
3.3%

Length

2024-05-11T02:52:34.142267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:34.478678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
90.0%
0 2
 
6.7%
1 1
 
3.3%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:34.795994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:35.131642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

객실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:35.481693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:35.816620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

건축연면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:36.139441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:36.537875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

선박총톤수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:37.004411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:37.344582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

선박척수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:37.771974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:38.151429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

무대면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:38.503188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:38.843054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

좌석수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:39.246677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:39.919797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

회의실별동시수용인원
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:40.442061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:40.840565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:41.194550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:41.484196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

놀이기구수내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

놀이시설수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:41.782700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:42.202222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

방송시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

발전시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

의무실유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

안내소유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

자본금
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:42.663546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:43.161911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

시설규모
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
28 
0
 
2

Length

Max length4
Median length4
Mean length3.8
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> 28
93.3%
0 2
 
6.7%

Length

2024-05-11T02:52:43.557357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:52:43.983636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
93.3%
0 2
 
6.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
03230000CDFE123000200100000120010803<NA>3폐업3폐업20180605<NA><NA><NA>02-2203-3330<NA>138851서울특별시 송파구 송파동 113-2번지서울특별시 송파구 백제고분로42길 5 (송파동)138851송파여성문화회관 소극장2018-06-11 17:53:13I2018-08-31 23:59:59.0<NA>209636.916609444858.989436공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13230000CDFE123000200300000120031210<NA>3폐업3폐업20141119<NA><NA><NA><NA><NA>138220서울특별시 송파구 잠실동 47번지서울특별시 송파구 삼학사로 136 (잠실동)138915야외공연장2014-11-20 16:07:06I2018-08-31 23:59:59.0<NA>208788.563715445155.954281공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFE123000200300000220030530<NA>1영업/정상13영업중<NA><NA><NA><NA>02-411-2224<NA>138220서울특별시 송파구 잠실동 40-1번지서울특별시 송파구 올림픽로 240 (잠실동)138915가든스테이지2020-03-10 09:53:57U2020-03-12 02:40:00.0<NA>208589.363343445455.904053공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33230000CDFE123000200300000320030530<NA>1영업/정상13영업중<NA><NA><NA><NA>02-411-3968<NA>138220서울특별시 송파구 잠실동 40-1번지서울특별시 송파구 올림픽로 240 (잠실동)138915동화극장2020-03-10 09:54:26U2020-03-12 02:40:00.0<NA>208589.363343445455.904053공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43230000CDFE123000200300000420030530<NA>3폐업3폐업20141120<NA><NA><NA>02-411-4064<NA>138220서울특별시 송파구 잠실동 40-1번지서울특별시 송파구 올림픽로 240 (잠실동)138721환상의 오딧세이2014-11-20 16:08:17I2018-08-31 23:59:59.0<NA>208589.363343445455.904053공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFE123000200500000120051102<NA>3폐업3폐업20141119<NA><NA><NA>02-2143-1201<NA>138220서울특별시 송파구 잠실동 40-1번지서울특별시 송파구 올림픽로 240 (잠실동)138721롯데월드 예술극장2014-11-20 16:07:50I2018-08-31 23:59:59.0<NA>208589.363343445455.904053공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000CDFE123000200600000120061011<NA>1영업/정상13영업중<NA><NA><NA><NA>411-5020<NA>138220서울특별시 송파구 잠실동 40-1서울특별시 송파구 올림픽로 240 (잠실동)138721샤롯데 씨어터2021-12-20 13:30:08U2021-12-22 02:40:00.0<NA>208589.363343445455.904053공연장공연장<NA>0<NA><NA><NA>문화시설0000<NA><NA>00<NA>00<NA>00<NA>0<NA><NA><NA><NA><NA><NA>0<NA><NA><NA>0
73230000CDFE123000200800000120081015<NA>3폐업3폐업20081227<NA><NA><NA><NA><NA>138220서울특별시 송파구 잠실동 10번지서울특별시 송파구 올림픽로 25 (잠실동)<NA>빅탑2011-02-24 17:33:42I2018-08-31 23:59:59.0<NA>206383.829438446030.128073공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83230000CDFE12300020090000012009-08-25<NA>1영업/정상13영업중<NA><NA><NA><NA>410-1531<NA>138-050서울특별시 송파구 방이동 88서울특별시 송파구 올림픽로 424 (방이동, 올림픽역도경기장)138-749우리금융아트홀(올림픽역도경기장)2023-09-22 15:34:24U2022-12-08 22:04:00.0<NA>210199.459219446539.279382<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93230000CDFE123000201100000120110209<NA>3폐업3폐업20151125<NA><NA><NA>02-2157-4015<NA>138960서울특별시 송파구 문정동 516번지 가든파이브라이프10층 Y-10001서울특별시 송파구 충민로 66 (가든파이브라이프Y-10001)138960가든파이브아트홀2015-12-07 10:13:39I2018-08-31 23:59:59.0<NA>211053.119518442026.988783공연장공연장<NA>10<NA><NA><NA><NA><NA><NA><NA><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
203230000CDFE123000201600000220160317<NA>3폐업3폐업20170414<NA><NA><NA>02-410-3410<NA><NA>서울특별시 송파구 잠실동 47번지 서울놀이마당서울특별시 송파구 삼학사로 136 (잠실동, 서울놀이마당)05608서울놀이마당2017-04-14 17:50:22I2018-08-31 23:59:59.0<NA>208788.563715445155.954281공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213230000CDFE12300020180000012018-08-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 209-11서울특별시 송파구 백제고분로19길 35 (잠실동)05564WS Music Hall2024-02-15 15:17:20U2023-12-01 23:07:00.0<NA>207677.897099445075.68919<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223230000CDFE123000201800000220181031<NA>3폐업3폐업20190109<NA><NA><NA>02-516-8360<NA><NA>서울특별시 송파구 잠실동 10번지 서울종합운동장서울특별시 송파구 올림픽로 25, 서울종합운동장 (잠실동)05500태양의서커스 '쿠자'2019-01-10 16:42:24U2019-01-12 02:40:00.0<NA>206383.829438446030.128073공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233230000CDFE123000201900000120190610<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 45-2 금복빌딩서울특별시 송파구 위례성대로 18, 금복빌딩 지하 1층 9-2호 (방이동)05545아트홀제이2022-02-09 15:03:22U2022-02-11 02:40:00.0<NA>210031.154819446040.044745공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243230000CDFE123000201900000220191227<NA>4취소/말소/만료/정지/중지35직권말소20201016<NA><NA><NA>07077295070<NA><NA>서울특별시 송파구 잠실동 10 서울종합운동장서울특별시 송파구 올림픽로 25, 서울종합운동장 (잠실동)05500잠실종합운동장 <위윌락유> 전용 로열씨어터2020-10-16 09:01:55U2020-10-18 02:40:00.0<NA>206383.829438446030.128073공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253230000CDFE123000202000000120200421<NA>1영업/정상13영업중<NA><NA><NA><NA>02-443-7765<NA><NA>서울특별시 송파구 거여동 37번지 위례빌딩서울특별시 송파구 오금로 513, 위례빌딩 B101호 (거여동)05768송파브이아트홀2020-04-21 13:20:36I2020-04-23 00:23:20.0<NA>212831.033281443457.104592공연장공연장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263230000CDFE123000202200000120220315<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금동 152-3서울특별시 송파구 동남로24길 11, 지하층 (오금동)05740소리소극장2022-03-15 14:27:36I2022-03-17 00:22:35.0<NA>212090.685324444169.045594공연장공연장<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
273230000CDFE123000202200000220221018<NA>3폐업3폐업20230104<NA><NA><NA>02-2240-8711<NA><NA>서울특별시 송파구 잠실동 10 서울종합운동장서울특별시 송파구 올림픽로 25, 서울종합운동장 (잠실동)05500태양의서커스'뉴알레그리아'2023-01-09 10:23:49U2022-11-30 23:01:00.0<NA>206383.829438446030.128073<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283230000CDFE12300020220000032022-11-24<NA>3폐업3폐업2023-01-16<NA><NA><NA>02-2240-8711<NA><NA>서울특별시 송파구 잠실동 10 서울종합운동장서울특별시 송파구 올림픽로 25, 서울종합운동장 (잠실동)05500FB 씨어터2023-02-07 14:45:38U2022-12-02 00:09:00.0<NA>206383.829438446030.128073<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293230000CDFE12300020230000012023-10-20<NA>3폐업3폐업2023-12-29<NA><NA><NA>02-2240-8711<NA><NA>서울특별시 송파구 잠실동 10 서울종합운동장서울특별시 송파구 올림픽로 25, 서울종합운동장 (잠실동)05500태양의서커스 '루치아'2024-01-08 10:51:43U2023-11-30 23:00:00.0<NA>206383.829438446030.128073<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>