Overview

Dataset statistics

Number of variables56
Number of observations24
Missing cells696
Missing cells (%)51.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory494.5 B

Variable types

Categorical24
Text2
Unsupported29
DateTime1

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,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-17671/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 24 (100.0%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
주변환경명 has 24 (100.0%) missing valuesMissing
제작취급품목내용 has 24 (100.0%) missing valuesMissing
시설면적 has 24 (100.0%) missing valuesMissing
통로너비 has 24 (100.0%) missing valuesMissing
조명시설조도 has 24 (100.0%) missing valuesMissing
노래방실수 has 24 (100.0%) missing valuesMissing
청소년실수 has 24 (100.0%) missing valuesMissing
비상계단여부 has 24 (100.0%) missing valuesMissing
비상구여부 has 24 (100.0%) missing valuesMissing
자동환기여부 has 24 (100.0%) missing valuesMissing
청소년실여부 has 24 (100.0%) missing valuesMissing
특수조명여부 has 24 (100.0%) missing valuesMissing
방음시설여부 has 24 (100.0%) missing valuesMissing
비디오재생기명 has 24 (100.0%) missing valuesMissing
조명시설유무 has 24 (100.0%) missing valuesMissing
음향시설여부 has 24 (100.0%) missing valuesMissing
편의시설여부 has 24 (100.0%) missing valuesMissing
소방시설여부 has 24 (100.0%) missing valuesMissing
총게임기수 has 24 (100.0%) missing valuesMissing
기존게임업외업종명 has 24 (100.0%) missing valuesMissing
제공게임물명 has 24 (100.0%) missing valuesMissing
품목명 has 24 (100.0%) missing valuesMissing
지역구분명 has 24 (100.0%) missing valuesMissing
관리번호 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
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 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

Reproduction

Analysis started2024-05-11 05:38:14.816384
Analysis finished2024-05-11 05:38:15.366851
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3190000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 24
100.0%

Length

2024-05-11T14:38:15.507594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:15.692112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 24
100.0%

관리번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T14:38:15.984959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters480
Distinct characters12
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

Unique24 ?
Unique (%)100.0%

Sample

1st rowCDFF4220001992000001
2nd rowCDFF4220001999000002
3rd rowCDFF4220001999000003
4th rowCDFF4220001999000004
5th rowCDFF4220001999000005
ValueCountFrequency (%)
cdff4220001992000001 1
 
4.2%
cdff4220001999000002 1
 
4.2%
cdff4220002022000005 1
 
4.2%
cdff4220002022000004 1
 
4.2%
cdff4220002022000003 1
 
4.2%
cdff4220002022000002 1
 
4.2%
cdff4220002022000001 1
 
4.2%
cdff4220002013000002 1
 
4.2%
cdff4220002013000001 1
 
4.2%
cdff4220002007000006 1
 
4.2%
Other values (14) 14
58.3%
2024-05-11T14:38:16.648285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 222
46.2%
2 85
 
17.7%
F 48
 
10.0%
4 33
 
6.9%
C 24
 
5.0%
D 24
 
5.0%
9 14
 
2.9%
1 11
 
2.3%
3 6
 
1.2%
7 6
 
1.2%
Other values (2) 7
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
80.0%
Uppercase Letter 96
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 222
57.8%
2 85
 
22.1%
4 33
 
8.6%
9 14
 
3.6%
1 11
 
2.9%
3 6
 
1.6%
7 6
 
1.6%
5 4
 
1.0%
6 3
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
80.0%
Latin 96
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 222
57.8%
2 85
 
22.1%
4 33
 
8.6%
9 14
 
3.6%
1 11
 
2.9%
3 6
 
1.6%
7 6
 
1.6%
5 4
 
1.0%
6 3
 
0.8%
Latin
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 222
46.2%
2 85
 
17.7%
F 48
 
10.0%
4 33
 
6.9%
C 24
 
5.0%
D 24
 
5.0%
9 14
 
2.9%
1 11
 
2.3%
3 6
 
1.2%
7 6
 
1.2%
Other values (2) 7
 
1.5%

인허가일자
Categorical

Distinct7
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2007-05-14
6 
20220729
6 
19990702
4 
20041228
4 
20130115
2 
Other values (2)
2 

Length

Max length10
Median length8
Mean length8.5
Min length8

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row19920327
2nd row19990702
3rd row19990702
4th row19990702
5th row19990702

Common Values

ValueCountFrequency (%)
2007-05-14 6
25.0%
20220729 6
25.0%
19990702 4
16.7%
20041228 4
16.7%
20130115 2
 
8.3%
19920327 1
 
4.2%
20040614 1
 
4.2%

Length

2024-05-11T14:38:16.935236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:17.138560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2007-05-14 6
25.0%
20220729 6
25.0%
19990702 4
16.7%
20041228 4
16.7%
20130115 2
 
8.3%
19920327 1
 
4.2%
20040614 1
 
4.2%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
15 
3
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 15
62.5%
3 9
37.5%

Length

2024-05-11T14:38:17.333947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:17.485187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
62.5%
3 9
37.5%

영업상태명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업/정상
15 
폐업
9 

Length

Max length5
Median length5
Mean length3.875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 15
62.5%
폐업 9
37.5%

Length

2024-05-11T14:38:17.644400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:17.786767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 15
62.5%
폐업 9
37.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
13
15 
3
9 

Length

Max length2
Median length2
Mean length1.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 15
62.5%
3 9
37.5%

Length

2024-05-11T14:38:18.300769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:18.464215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 15
62.5%
3 9
37.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업중
15 
폐업
9 

Length

Max length3
Median length3
Mean length2.625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 15
62.5%
폐업 9
37.5%

Length

2024-05-11T14:38:18.674930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:18.891914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 15
62.5%
폐업 9
37.5%

폐업일자
Categorical

Distinct4
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
15 
20041020
4 
20090403
4 
20010713
 
1

Length

Max length8
Median length4
Mean length5.5
Min length4

Unique

Unique1 ?
Unique (%)4.2%

Sample

1st row20010713
2nd row20041020
3rd row20041020
4th row20041020
5th row20041020

Common Values

ValueCountFrequency (%)
<NA> 15
62.5%
20041020 4
 
16.7%
20090403 4
 
16.7%
20010713 1
 
4.2%

Length

2024-05-11T14:38:19.110541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:19.289091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
62.5%
20041020 4
 
16.7%
20090403 4
 
16.7%
20010713 1
 
4.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Categorical

Distinct7
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
02-3017-3884
6 
070-4757-7977
6 
842-5123
4 
849-0121
4 
070-7017-3311
2 
Other values (2)
2 

Length

Max length13
Median length12
Mean length10.5
Min length4

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row812-1533
2nd row842-5123
3rd row842-5123
4th row842-5123
5th row842-5123

Common Values

ValueCountFrequency (%)
02-3017-3884 6
25.0%
070-4757-7977 6
25.0%
842-5123 4
16.7%
849-0121 4
16.7%
070-7017-3311 2
 
8.3%
812-1533 1
 
4.2%
<NA> 1
 
4.2%

Length

2024-05-11T14:38:19.488715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:19.677636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-3017-3884 6
25.0%
070-4757-7977 6
25.0%
842-5123 4
16.7%
849-0121 4
16.7%
070-7017-3311 2
 
8.3%
812-1533 1
 
4.2%
na 1
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
14 
156849
7 
156801
 
1
156713
 
1
152812
 
1

Length

Max length6
Median length4
Mean length4.8333333
Min length4

Unique

Unique3 ?
Unique (%)12.5%

Sample

1st row156801
2nd row156849
3rd row156713
4th row156849
5th row156849

Common Values

ValueCountFrequency (%)
<NA> 14
58.3%
156849 7
29.2%
156801 1
 
4.2%
156713 1
 
4.2%
152812 1
 
4.2%

Length

2024-05-11T14:38:19.889346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:20.093475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
58.3%
156849 7
29.2%
156801 1
 
4.2%
156713 1
 
4.2%
152812 1
 
4.2%

지번주소
Categorical

Distinct10
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
서울특별시 동작구 사당동 147-53 골든씨네마 7층
6 
서울특별시 동작구 신대방동 686-48 동작 협성휴포레 시그니처
6 
서울특별시 동작구 신대방동 395-69번지 아카데미타워 6층
4 
서울특별시 동작구 사당동 147-53번지 골든시네마타워 12층
2 
서울특별시 동작구 노량진동 151-10번지
1 
Other values (5)
5 

Length

Max length38
Median length35
Mean length32.458333
Min length22

Unique

Unique6 ?
Unique (%)25.0%

Sample

1st row서울특별시 동작구 노량진동 151-10번지
2nd row서울특별시 동작구 신대방동 395-69번지 아카데미타워(2관)
3rd row서울특별시 동작구 신대방동 395-69번지 보라매아카데미타워(3관)
4th row서울특별시 동작구 신대방동 395-69번지 아카데미타워(4관)
5th row서울특별시 동작구 신대방동 395-69번지 아카데미타워(5관)

Common Values

ValueCountFrequency (%)
서울특별시 동작구 사당동 147-53 골든씨네마 7층 6
25.0%
서울특별시 동작구 신대방동 686-48 동작 협성휴포레 시그니처 6
25.0%
서울특별시 동작구 신대방동 395-69번지 아카데미타워 6층 4
16.7%
서울특별시 동작구 사당동 147-53번지 골든시네마타워 12층 2
 
8.3%
서울특별시 동작구 노량진동 151-10번지 1
 
4.2%
서울특별시 동작구 신대방동 395-69번지 아카데미타워(2관) 1
 
4.2%
서울특별시 동작구 신대방동 395-69번지 보라매아카데미타워(3관) 1
 
4.2%
서울특별시 동작구 신대방동 395-69번지 아카데미타워(4관) 1
 
4.2%
서울특별시 동작구 신대방동 395-69번지 아카데미타워(5관) 1
 
4.2%
서울특별시 구로구 개봉동 297-2번지 1
 
4.2%

Length

2024-05-11T14:38:20.358142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:20.619015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 24
16.9%
동작구 23
16.2%
신대방동 14
 
9.9%
사당동 8
 
5.6%
395-69번지 8
 
5.6%
147-53 6
 
4.2%
골든씨네마 6
 
4.2%
7층 6
 
4.2%
686-48 6
 
4.2%
동작 6
 
4.2%
Other values (16) 35
24.6%

도로명주소
Categorical

Distinct10
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
서울특별시 동작구 동작대로 89 (사당동,골든씨네마 7층)
6 
서울특별시 동작구 시흥대로 606, 지2층 (신대방동, 동작 협성휴포레 시그니처)
6 
서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워 6층)
4 
서울특별시 동작구 동작대로 89 (사당동,골든시네마타워 12층)
2 
서울특별시 동작구 노량진로 171 (노량진동)
1 
Other values (5)
5 

Length

Max length45
Median length40.5
Mean length37.291667
Min length26

Unique

Unique6 ?
Unique (%)25.0%

Sample

1st row서울특별시 동작구 노량진로 171 (노량진동)
2nd row서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워(2관))
3rd row서울특별시 동작구 보라매로5가길 16 (신대방동,보라매아카데미타워(3관))
4th row서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워(4관))
5th row서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워(5관))

Common Values

ValueCountFrequency (%)
서울특별시 동작구 동작대로 89 (사당동,골든씨네마 7층) 6
25.0%
서울특별시 동작구 시흥대로 606, 지2층 (신대방동, 동작 협성휴포레 시그니처) 6
25.0%
서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워 6층) 4
16.7%
서울특별시 동작구 동작대로 89 (사당동,골든시네마타워 12층) 2
 
8.3%
서울특별시 동작구 노량진로 171 (노량진동) 1
 
4.2%
서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워(2관)) 1
 
4.2%
서울특별시 동작구 보라매로5가길 16 (신대방동,보라매아카데미타워(3관)) 1
 
4.2%
서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워(4관)) 1
 
4.2%
서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워(5관)) 1
 
4.2%
서울특별시 구로구 개봉로3길 109 (개봉동) 1
 
4.2%

Length

2024-05-11T14:38:20.931556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:21.149543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 24
15.4%
동작구 23
14.7%
동작대로 8
 
5.1%
89 8
 
5.1%
보라매로5가길 8
 
5.1%
16 8
 
5.1%
사당동,골든씨네마 6
 
3.8%
7층 6
 
3.8%
시흥대로 6
 
3.8%
606 6
 
3.8%
Other values (20) 53
34.0%

도로명우편번호
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
18 
7074
6 

Length

Max length4
Median length4
Mean length4
Min length4

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> 18
75.0%
7074 6
 
25.0%

Length

2024-05-11T14:38:21.506387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:21.674771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
75.0%
7074 6
 
25.0%

사업장명
Text

Distinct16
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T14:38:21.932372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.875
Min length6

Characters and Unicode

Total characters261
Distinct characters51
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

Unique14 ?
Unique (%)58.3%

Sample

1st row일미일소극장
2nd row(주)아카데미이십일
3rd row(주)아카데미이십일
4th row(주)아카데미이십일
5th row(주)아카데미이십일
ValueCountFrequency (%)
메가박스(주 6
12.2%
이수지점 6
12.2%
신대방 6
12.2%
롯데시네마 6
12.2%
주)아카데미이십일 4
8.2%
씨에프(cf)21 4
8.2%
2관 2
 
4.1%
3관 2
 
4.1%
4관 2
 
4.1%
5관 2
 
4.1%
Other values (8) 9
18.4%
2024-05-11T14:38:22.549675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
9.6%
( 14
 
5.4%
) 14
 
5.4%
관 12
 
4.6%
이 11
 
4.2%
주 10
 
3.8%
데 10
 
3.8%
아 7
 
2.7%
메 6
 
2.3%
대 6
 
2.3%
Other values (41) 146
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
69.0%
Space Separator 25
 
9.6%
Decimal Number 20
 
7.7%
Open Punctuation 14
 
5.4%
Close Punctuation 14
 
5.4%
Uppercase Letter 8
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 12
 
6.7%
이 11
 
6.1%
주 10
 
5.6%
데 10
 
5.6%
아 7
 
3.9%
메 6
 
3.3%
대 6
 
3.3%
롯 6
 
3.3%
시 6
 
3.3%
네 6
 
3.3%
Other values (28) 100
55.6%
Decimal Number
ValueCountFrequency (%)
2 6
30.0%
1 5
25.0%
5 2
 
10.0%
4 2
 
10.0%
3 2
 
10.0%
9 1
 
5.0%
0 1
 
5.0%
6 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
F 4
50.0%
C 4
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
69.0%
Common 73
28.0%
Latin 8
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 12
 
6.7%
이 11
 
6.1%
주 10
 
5.6%
데 10
 
5.6%
아 7
 
3.9%
메 6
 
3.3%
대 6
 
3.3%
롯 6
 
3.3%
시 6
 
3.3%
네 6
 
3.3%
Other values (28) 100
55.6%
Common
ValueCountFrequency (%)
25
34.2%
( 14
19.2%
) 14
19.2%
2 6
 
8.2%
1 5
 
6.8%
5 2
 
2.7%
4 2
 
2.7%
3 2
 
2.7%
9 1
 
1.4%
0 1
 
1.4%
Latin
ValueCountFrequency (%)
F 4
50.0%
C 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
69.0%
ASCII 81
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
30.9%
( 14
17.3%
) 14
17.3%
2 6
 
7.4%
1 5
 
6.2%
F 4
 
4.9%
C 4
 
4.9%
5 2
 
2.5%
4 2
 
2.5%
3 2
 
2.5%
Other values (3) 3
 
3.7%
Hangul
ValueCountFrequency (%)
관 12
 
6.7%
이 11
 
6.1%
주 10
 
5.6%
데 10
 
5.6%
아 7
 
3.9%
메 6
 
3.3%
대 6
 
3.3%
롯 6
 
3.3%
시 6
 
3.3%
네 6
 
3.3%
Other values (28) 100
55.6%

최종수정일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2003-04-22 14:31:47
Maximum2024-02-14 09:19:02
2024-05-11T14:38:22.789247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:38:23.027289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
I
18 
U
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 18
75.0%
U 6
 
25.0%

Length

2024-05-11T14:38:23.255978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:23.425290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 18
75.0%
u 6
 
25.0%

데이터갱신일자
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2018-08-31 23:59:59.0
12 
2023-12-01 23:06:00.0
6 
2021-12-06 21:01:00.0
6 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 12
50.0%
2023-12-01 23:06:00.0 6
25.0%
2021-12-06 21:01:00.0 6
25.0%

Length

2024-05-11T14:38:23.628993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:23.821348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 12
25.0%
23:59:59.0 12
25.0%
2023-12-01 6
12.5%
23:06:00.0 6
12.5%
2021-12-06 6
12.5%
21:01:00.0 6
12.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
193218.36400997
8 
198295.843258378
8 
191555.354381759
6 
195079.525360636
1 
186729.588621957
1 

Length

Max length16
Median length16
Mean length15.666667
Min length15

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row195079.525360636
2nd row193218.36400997
3rd row193218.36400997
4th row193218.36400997
5th row193218.36400997

Common Values

ValueCountFrequency (%)
193218.36400997 8
33.3%
198295.843258378 8
33.3%
191555.354381759 6
25.0%
195079.525360636 1
 
4.2%
186729.588621957 1
 
4.2%

Length

2024-05-11T14:38:24.029719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:24.256439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
193218.36400997 8
33.3%
198295.843258378 8
33.3%
191555.354381759 6
25.0%
195079.525360636 1
 
4.2%
186729.588621957 1
 
4.2%

좌표정보(Y)
Categorical

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
443239.581054145
8 
442507.699069196
8 
442679.208790615
6 
445761.720381251
1 
442612.424502388
1 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row445761.720381251
2nd row443239.581054145
3rd row443239.581054145
4th row443239.581054145
5th row443239.581054145

Common Values

ValueCountFrequency (%)
443239.581054145 8
33.3%
442507.699069196 8
33.3%
442679.208790615 6
25.0%
445761.720381251 1
 
4.2%
442612.424502388 1
 
4.2%

Length

2024-05-11T14:38:24.462342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:24.662885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
443239.581054145 8
33.3%
442507.699069196 8
33.3%
442679.208790615 6
25.0%
445761.720381251 1
 
4.2%
442612.424502388 1
 
4.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
영화상영관
12 
<NA>
12 

Length

Max length5
Median length4.5
Mean length4.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 12
50.0%
<NA> 12
50.0%

Length

2024-05-11T14:38:24.906669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:25.230244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 12
50.0%
na 12
50.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
14 
영화상영관
10 

Length

Max length5
Median length4
Mean length4.4166667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 14
58.3%
영화상영관 10
41.7%

Length

2024-05-11T14:38:25.449483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:25.657964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
58.3%
영화상영관 10
41.7%

총층수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
20 
41
4 

Length

Max length4
Median length4
Mean length3.6666667
Min length2

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
83.3%
41 4
 
16.7%

Length

2024-05-11T14:38:25.894864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:26.090104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
83.3%
41 4
 
16.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지상층수
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
18 
41
4 
15
2 

Length

Max length4
Median length4
Mean length3.5
Min length2

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> 18
75.0%
41 4
 
16.7%
15 2
 
8.3%

Length

2024-05-11T14:38:26.303600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:26.521481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
75.0%
41 4
 
16.7%
15 2
 
8.3%

지하층수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
18 
7
6 

Length

Max length4
Median length4
Mean length3.25
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> 18
75.0%
7 6
 
25.0%

Length

2024-05-11T14:38:26.740807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:26.916242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
75.0%
7 6
 
25.0%

건물용도명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
20 
문화시설
4 

Length

Max length4
Median length4
Mean length4
Min length4

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
83.3%
문화시설 4
 
16.7%

Length

2024-05-11T14:38:27.055726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:27.158717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
83.3%
문화시설 4
 
16.7%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

공연장형태구분명
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
영화관
12 
<NA>
12 

Length

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

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 12
50.0%
<NA> 12
50.0%

Length

2024-05-11T14:38:27.294892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:27.445324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 12
50.0%
na 12
50.0%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

최초등록시점
Categorical

Distinct6
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
12 
19990702
4 
20041228
4 
20130115
2 
19920327
 
1

Length

Max length8
Median length6
Mean length6
Min length4

Unique

Unique2 ?
Unique (%)8.3%

Sample

1st row19920327
2nd row19990702
3rd row19990702
4th row19990702
5th row19990702

Common Values

ValueCountFrequency (%)
<NA> 12
50.0%
19990702 4
 
16.7%
20041228 4
 
16.7%
20130115 2
 
8.3%
19920327 1
 
4.2%
20040614 1
 
4.2%

Length

2024-05-11T14:38:27.643270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:38:27.807418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
50.0%
19990702 4
 
16.7%
20041228 4
 
16.7%
20130115 2
 
8.3%
19920327 1
 
4.2%
20040614 1
 
4.2%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03190000CDFF422000199200000119920327<NA>3폐업3폐업20010713<NA><NA><NA>812-1533<NA>156801서울특별시 동작구 노량진동 151-10번지서울특별시 동작구 노량진로 171 (노량진동)<NA>일미일소극장2003-04-22 14:31:47I2018-08-31 23:59:59.0<NA>195079.525361445761.720381영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19920327<NA>
13190000CDFF422000199900000219990702<NA>3폐업3폐업20041020<NA><NA><NA>842-5123<NA>156849서울특별시 동작구 신대방동 395-69번지 아카데미타워(2관)서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워(2관))<NA>(주)아카데미이십일2004-10-29 16:37:50I2018-08-31 23:59:59.0<NA>193218.36401443239.581054영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19990702<NA>
23190000CDFF422000199900000319990702<NA>3폐업3폐업20041020<NA><NA><NA>842-5123<NA>156713서울특별시 동작구 신대방동 395-69번지 보라매아카데미타워(3관)서울특별시 동작구 보라매로5가길 16 (신대방동,보라매아카데미타워(3관))<NA>(주)아카데미이십일2004-10-29 16:36:10I2018-08-31 23:59:59.0<NA>193218.36401443239.581054영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19990702<NA>
33190000CDFF422000199900000419990702<NA>3폐업3폐업20041020<NA><NA><NA>842-5123<NA>156849서울특별시 동작구 신대방동 395-69번지 아카데미타워(4관)서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워(4관))<NA>(주)아카데미이십일2004-10-29 16:36:32I2018-08-31 23:59:59.0<NA>193218.36401443239.581054영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19990702<NA>
43190000CDFF422000199900000519990702<NA>3폐업3폐업20041020<NA><NA><NA>842-5123<NA>156849서울특별시 동작구 신대방동 395-69번지 아카데미타워(5관)서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워(5관))<NA>(주)아카데미이십일2004-10-29 16:37:10I2018-08-31 23:59:59.0<NA>193218.36401443239.581054영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19990702<NA>
53190000CDFF422000200400000220041228<NA>3폐업3폐업20090403<NA><NA><NA>849-0121<NA>156849서울특별시 동작구 신대방동 395-69번지 아카데미타워 6층서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워 6층)<NA>씨에프(CF)21 2관2009-04-03 15:35:40I2018-08-31 23:59:59.0<NA>193218.36401443239.581054영화상영관영화상영관41<NA><NA><NA>417문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20041228<NA>
63190000CDFF422000200400000320041228<NA>3폐업3폐업20090403<NA><NA><NA>849-0121<NA>156849서울특별시 동작구 신대방동 395-69번지 아카데미타워 6층서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워 6층)<NA>씨에프(CF)21 3관2009-04-03 15:39:51I2018-08-31 23:59:59.0<NA>193218.36401443239.581054영화상영관영화상영관41<NA><NA><NA>417문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20041228<NA>
73190000CDFF422000200400000420041228<NA>3폐업3폐업20090403<NA><NA><NA>849-0121<NA>156849서울특별시 동작구 신대방동 395-69번지 아카데미타워 6층서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워 6층)<NA>씨에프(CF)21 4관2009-04-03 15:40:25I2018-08-31 23:59:59.0<NA>193218.36401443239.581054영화상영관영화상영관41<NA><NA><NA>417문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20041228<NA>
83190000CDFF422000200400000520041228<NA>3폐업3폐업20090403<NA><NA><NA>849-0121<NA>156849서울특별시 동작구 신대방동 395-69번지 아카데미타워 6층서울특별시 동작구 보라매로5가길 16 (신대방동,아카데미타워 6층)<NA>씨에프(CF)21 5관2009-04-03 15:41:09I2018-08-31 23:59:59.0<NA>193218.36401443239.581054영화상영관영화상영관41<NA><NA><NA>417문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20041228<NA>
93190000CDFF422000200400000620040614<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>152812서울특별시 구로구 개봉동 297-2번지서울특별시 구로구 개봉로3길 109 (개봉동)<NA>떼아뜨르 이동영화2005-08-04 14:38:38I2018-08-31 23:59:59.0<NA>186729.588622442612.424502영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20040614<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
143190000CDFF42200020070000052007-05-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3017-3884<NA><NA>서울특별시 동작구 사당동 147-53 골든씨네마 7층서울특별시 동작구 동작대로 89 (사당동,골든씨네마 7층)<NA>메가박스(주) 이수지점2024-02-14 09:18:34U2023-12-01 23:06:00.0<NA>198295.843258442507.699069<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153190000CDFF42200020070000062007-05-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3017-3884<NA><NA>서울특별시 동작구 사당동 147-53 골든씨네마 7층서울특별시 동작구 동작대로 89 (사당동,골든씨네마 7층)<NA>메가박스(주) 이수지점2024-02-14 09:19:02U2023-12-01 23:06:00.0<NA>198295.843258442507.699069<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163190000CDFF422000201300000120130115<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7017-3311<NA><NA>서울특별시 동작구 사당동 147-53번지 골든시네마타워 12층서울특별시 동작구 동작대로 89 (사당동,골든시네마타워 12층)<NA>아트나인 9관2017-05-04 10:22:15I2018-08-31 23:59:59.0<NA>198295.843258442507.699069영화상영관<NA><NA><NA><NA><NA>157<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20130115<NA>
173190000CDFF422000201300000220130115<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7017-3311<NA><NA>서울특별시 동작구 사당동 147-53번지 골든시네마타워 12층서울특별시 동작구 동작대로 89 (사당동,골든시네마타워 12층)<NA>아트나인 0관2017-05-04 10:21:09I2018-08-31 23:59:59.0<NA>198295.843258442507.699069영화상영관<NA><NA><NA><NA><NA>157<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20130115<NA>
183190000CDFF422000202200000120220729<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4757-7977<NA><NA>서울특별시 동작구 신대방동 686-48 동작 협성휴포레 시그니처서울특별시 동작구 시흥대로 606, 지2층 (신대방동, 동작 협성휴포레 시그니처)7074롯데시네마 신대방 1관2022-07-29 13:27:44I2021-12-06 21:01:00.0<NA>191555.354382442679.208791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193190000CDFF422000202200000220220729<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4757-7977<NA><NA>서울특별시 동작구 신대방동 686-48 동작 협성휴포레 시그니처서울특별시 동작구 시흥대로 606, 지2층 (신대방동, 동작 협성휴포레 시그니처)7074롯데시네마 신대방 2관2022-07-29 13:34:09I2021-12-06 21:01:00.0<NA>191555.354382442679.208791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203190000CDFF422000202200000320220729<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4757-7977<NA><NA>서울특별시 동작구 신대방동 686-48 동작 협성휴포레 시그니처서울특별시 동작구 시흥대로 606, 지2층 (신대방동, 동작 협성휴포레 시그니처)7074롯데시네마 신대방 3관2022-07-29 13:38:04I2021-12-06 21:01:00.0<NA>191555.354382442679.208791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213190000CDFF422000202200000420220729<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4757-7977<NA><NA>서울특별시 동작구 신대방동 686-48 동작 협성휴포레 시그니처서울특별시 동작구 시흥대로 606, 지2층 (신대방동, 동작 협성휴포레 시그니처)7074롯데시네마 신대방 4관2022-07-29 13:41:23I2021-12-06 21:01:00.0<NA>191555.354382442679.208791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223190000CDFF422000202200000520220729<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4757-7977<NA><NA>서울특별시 동작구 신대방동 686-48 동작 협성휴포레 시그니처서울특별시 동작구 시흥대로 606, 지2층 (신대방동, 동작 협성휴포레 시그니처)7074롯데시네마 신대방 5관2022-07-29 22:14:52I2021-12-06 21:01:00.0<NA>191555.354382442679.208791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233190000CDFF422000202200000620220729<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4757-7977<NA><NA>서울특별시 동작구 신대방동 686-48 동작 협성휴포레 시그니처서울특별시 동작구 시흥대로 606, 지2층 (신대방동, 동작 협성휴포레 시그니처)7074롯데시네마 신대방 6관2022-07-29 22:18:42I2021-12-06 21:01:00.0<NA>191555.354382442679.208791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>