Overview

Dataset statistics

Number of variables56
Number of observations45
Missing cells945
Missing cells (%)37.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.5 KiB
Average record size in memory489.9 B

Variable types

Categorical28
Text2
DateTime3
Unsupported21
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,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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17667/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (84.6%)Imbalance
인허가취소일자 has 45 (100.0%) missing valuesMissing
휴업시작일자 has 45 (100.0%) missing valuesMissing
휴업종료일자 has 45 (100.0%) missing valuesMissing
재개업일자 has 45 (100.0%) missing valuesMissing
소재지면적 has 45 (100.0%) missing valuesMissing
업태구분명 has 45 (100.0%) missing valuesMissing
제작취급품목내용 has 45 (100.0%) missing valuesMissing
비상계단여부 has 45 (100.0%) missing valuesMissing
비상구여부 has 45 (100.0%) missing valuesMissing
자동환기여부 has 45 (100.0%) missing valuesMissing
청소년실여부 has 45 (100.0%) missing valuesMissing
특수조명여부 has 45 (100.0%) missing valuesMissing
방음시설여부 has 45 (100.0%) missing valuesMissing
비디오재생기명 has 45 (100.0%) missing valuesMissing
조명시설유무 has 45 (100.0%) missing valuesMissing
음향시설여부 has 45 (100.0%) missing valuesMissing
편의시설여부 has 45 (100.0%) missing valuesMissing
소방시설여부 has 45 (100.0%) missing valuesMissing
기존게임업외업종명 has 45 (100.0%) missing valuesMissing
제공게임물명 has 45 (100.0%) missing valuesMissing
품목명 has 45 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
제작취급품목내용 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
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

Reproduction

Analysis started2024-04-29 19:25:13.457113
Analysis finished2024-04-29 19:25:14.146180
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
3150000
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3150000 45
100.0%

Length

2024-04-30T04:25:14.213484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:14.297184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 45
100.0%

관리번호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-30T04:25:14.451890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters900
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

Unique45 ?
Unique (%)100.0%

Sample

1st rowCDFF4220002000000001
2nd rowCDFF4220002003000001
3rd rowCDFF4220002003000002
4th rowCDFF4220002003000003
5th rowCDFF4220002003000004
ValueCountFrequency (%)
cdff4220002000000001 1
 
2.2%
cdff4220002015000004 1
 
2.2%
cdff4220002015000006 1
 
2.2%
cdff4220002015000007 1
 
2.2%
cdff4220002015000008 1
 
2.2%
cdff4220002015000009 1
 
2.2%
cdff4220002015000010 1
 
2.2%
cdff4220002015000011 1
 
2.2%
cdff4220002017000001 1
 
2.2%
cdff4220002017000002 1
 
2.2%
Other values (35) 35
77.8%
2024-04-30T04:25:14.740041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 415
46.1%
2 140
 
15.6%
F 90
 
10.0%
1 55
 
6.1%
4 50
 
5.6%
C 45
 
5.0%
D 45
 
5.0%
5 16
 
1.8%
3 14
 
1.6%
9 11
 
1.2%
Other values (3) 19
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 720
80.0%
Uppercase Letter 180
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 415
57.6%
2 140
 
19.4%
1 55
 
7.6%
4 50
 
6.9%
5 16
 
2.2%
3 14
 
1.9%
9 11
 
1.5%
7 10
 
1.4%
6 5
 
0.7%
8 4
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 90
50.0%
C 45
25.0%
D 45
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 720
80.0%
Latin 180
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 415
57.6%
2 140
 
19.4%
1 55
 
7.6%
4 50
 
6.9%
5 16
 
2.2%
3 14
 
1.9%
9 11
 
1.5%
7 10
 
1.4%
6 5
 
0.7%
8 4
 
0.6%
Latin
ValueCountFrequency (%)
F 90
50.0%
C 45
25.0%
D 45
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 415
46.1%
2 140
 
15.6%
F 90
 
10.0%
1 55
 
6.1%
4 50
 
5.6%
C 45
 
5.0%
D 45
 
5.0%
5 16
 
1.8%
3 14
 
1.6%
9 11
 
1.2%
Other values (3) 19
 
2.1%
Distinct7
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2000-01-07 00:00:00
Maximum2019-01-25 00:00:00
2024-04-30T04:25:14.847680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:25:14.931800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B
Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
1
33 
3
12 

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 33
73.3%
3 12
 
26.7%

Length

2024-04-30T04:25:15.040811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:15.119753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 33
73.3%
3 12
 
26.7%

영업상태명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
영업/정상
33 
폐업
12 

Length

Max length5
Median length5
Mean length4.2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 33
73.3%
폐업 12
 
26.7%

Length

2024-04-30T04:25:15.205999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:15.290082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 33
73.3%
폐업 12
 
26.7%
Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
13
33 
3
12 

Length

Max length2
Median length2
Mean length1.7333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 33
73.3%
3 12
 
26.7%

Length

2024-04-30T04:25:15.382560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:15.486855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 33
73.3%
3 12
 
26.7%
Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
영업중
33 
폐업
12 

Length

Max length3
Median length3
Mean length2.7333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 33
73.3%
폐업 12
 
26.7%

Length

2024-04-30T04:25:15.584129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:15.688605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 33
73.3%
폐업 12
 
26.7%

폐업일자
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
35 
20180118
20221128
 
2

Length

Max length8
Median length4
Mean length4.8888889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row20180118
3rd row20180118
4th row<NA>
5th row20180118

Common Values

ValueCountFrequency (%)
<NA> 35
77.8%
20180118 8
 
17.8%
20221128 2
 
4.4%

Length

2024-04-30T04:25:15.784192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:15.885391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
77.8%
20180118 8
 
17.8%
20221128 2
 
4.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

전화번호
Categorical

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
26 
02-3665-9064
6255-9090
070-7017-9893

Length

Max length13
Median length4
Mean length7.0888889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row6255-9090
5th row6255-9090

Common Values

ValueCountFrequency (%)
<NA> 26
57.8%
02-3665-9064 8
 
17.8%
6255-9090 6
 
13.3%
070-7017-9893 5
 
11.1%

Length

2024-04-30T04:25:15.994472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:16.107828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
57.8%
02-3665-9064 8
 
17.8%
6255-9090 6
 
13.3%
070-7017-9893 5
 
11.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
44 
122848
 
1

Length

Max length6
Median length4
Mean length4.0444444
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row122848
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
97.8%
122848 1
 
2.2%

Length

2024-04-30T04:25:16.233738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:16.347162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
97.8%
122848 1
 
2.2%

지번주소
Categorical

Distinct9
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
서울특별시 강서구 방화동 886번지
서울특별시 강서구 방화동 886 스카이파크
서울특별시 강서구 등촌동 73-1 4,5,6층
서울특별시 강서구 마곡동 797-1 퀸즈파크나인
서울특별시 강서구 등촌동 639-23 3~9층
Other values (4)

Length

Max length42
Median length26
Mean length25.955556
Min length20

Unique

Unique2 ?
Unique (%)4.4%

Sample

1st row서울특별시 은평구 불광동 31-2번지
2nd row서울특별시 강서구 방화동 886번지
3rd row서울특별시 강서구 방화동 886번지
4th row서울특별시 강서구 방화동 886번지
5th row서울특별시 강서구 방화동 886번지

Common Values

ValueCountFrequency (%)
서울특별시 강서구 방화동 886번지 9
20.0%
서울특별시 강서구 방화동 886 스카이파크 9
20.0%
서울특별시 강서구 등촌동 73-1 4,5,6층 6
13.3%
서울특별시 강서구 마곡동 797-1 퀸즈파크나인 6
13.3%
서울특별시 강서구 등촌동 639-23 3~9층 6
13.3%
서울특별시 강서구 화곡동 1073-10 메가박스(주) 화곡점 401,501호 5
11.1%
서울특별시 강서구 등촌동 639-23 3~9층 2
 
4.4%
서울특별시 은평구 불광동 31-2번지 1
 
2.2%
서울특별시 강서구 방화동 886 스카이파크 1
 
2.2%

Length

2024-04-30T04:25:16.455757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:16.560656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 45
20.0%
강서구 44
19.6%
방화동 19
 
8.4%
등촌동 14
 
6.2%
886 10
 
4.4%
스카이파크 10
 
4.4%
886번지 9
 
4.0%
3~9층 8
 
3.6%
639-23 8
 
3.6%
797-1 6
 
2.7%
Other values (12) 52
23.1%

도로명주소
Categorical

Distinct7
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
서울특별시 강서구 하늘길 38 (방화동, 스카이파크)
10 
서울특별시 강서구 하늘길 38 (방화동)
서울특별시 강서구 공항대로45길 63, 3~9층 (등촌동)
서울특별시 강서구 양천로 476, 4,5,6층 (등촌동)
서울특별시 강서구 공항대로 247, 4층 (마곡동, 퀸즈파크나인)
Other values (2)

Length

Max length45
Median length32
Mean length31.111111
Min length22

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row서울특별시 은평구 불광로18가길 20-2 (불광동)
2nd row서울특별시 강서구 하늘길 38 (방화동)
3rd row서울특별시 강서구 하늘길 38 (방화동)
4th row서울특별시 강서구 하늘길 38 (방화동)
5th row서울특별시 강서구 하늘길 38 (방화동)

Common Values

ValueCountFrequency (%)
서울특별시 강서구 하늘길 38 (방화동, 스카이파크) 10
22.2%
서울특별시 강서구 하늘길 38 (방화동) 9
20.0%
서울특별시 강서구 공항대로45길 63, 3~9층 (등촌동) 8
17.8%
서울특별시 강서구 양천로 476, 4,5,6층 (등촌동) 6
13.3%
서울특별시 강서구 공항대로 247, 4층 (마곡동, 퀸즈파크나인) 6
13.3%
서울특별시 강서구 화곡로 142, 401,501호 (화곡동, 메가박스(주)화곡점) 5
11.1%
서울특별시 은평구 불광로18가길 20-2 (불광동) 1
 
2.2%

Length

2024-04-30T04:25:16.698484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:16.804838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 45
16.6%
강서구 44
16.2%
하늘길 19
 
7.0%
38 19
 
7.0%
방화동 19
 
7.0%
등촌동 14
 
5.2%
스카이파크 10
 
3.7%
공항대로45길 8
 
3.0%
63 8
 
3.0%
3~9층 8
 
3.0%
Other values (17) 77
28.4%
Distinct6
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
7505
19 
7567
7575
7803
7715

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row<NA>
2nd row7505
3rd row7505
4th row7505
5th row7505

Common Values

ValueCountFrequency (%)
7505 19
42.2%
7567 8
17.8%
7575 6
 
13.3%
7803 6
 
13.3%
7715 5
 
11.1%
<NA> 1
 
2.2%

Length

2024-04-30T04:25:16.931710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:17.023322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7505 19
42.2%
7567 8
17.8%
7575 6
 
13.3%
7803 6
 
13.3%
7715 5
 
11.1%
na 1
 
2.2%

사업장명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-04-30T04:25:17.172963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length13.311111
Min length5

Characters and Unicode

Total characters599
Distinct characters42
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

Unique45 ?
Unique (%)100.0%

Sample

1st row객석시네마
2nd rowCGV 김포공항9 (1관)
3rd rowCGV김포공항9 (2관)
4th rowCGV김포공항9 (3관)
5th rowCGV김포공항9 (4관)
ValueCountFrequency (%)
롯데시네마 16
12.8%
메가박스중앙(주 11
 
8.8%
김포공항 10
 
8.0%
cgv 9
 
7.2%
등촌 8
 
6.4%
cgv김포공항9 8
 
6.4%
마곡지점 6
 
4.8%
1관 6
 
4.8%
2관 6
 
4.8%
3관 6
 
4.8%
Other values (11) 39
31.2%
2024-04-30T04:25:17.421748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
13.4%
44
 
7.3%
) 30
 
5.0%
( 30
 
5.0%
23
 
3.8%
19
 
3.2%
19
 
3.2%
19
 
3.2%
19
 
3.2%
17
 
2.8%
Other values (32) 299
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 354
59.1%
Space Separator 80
 
13.4%
Decimal Number 54
 
9.0%
Uppercase Letter 51
 
8.5%
Close Punctuation 30
 
5.0%
Open Punctuation 30
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
44
 
12.4%
23
 
6.5%
19
 
5.4%
19
 
5.4%
19
 
5.4%
19
 
5.4%
17
 
4.8%
17
 
4.8%
17
 
4.8%
16
 
4.5%
Other values (16) 144
40.7%
Decimal Number
ValueCountFrequency (%)
9 11
20.4%
1 7
13.0%
5 6
11.1%
4 6
11.1%
3 6
11.1%
2 6
11.1%
6 5
9.3%
8 3
 
5.6%
7 3
 
5.6%
0 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
C 17
33.3%
G 17
33.3%
V 17
33.3%
Space Separator
ValueCountFrequency (%)
80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 354
59.1%
Common 194
32.4%
Latin 51
 
8.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
44
 
12.4%
23
 
6.5%
19
 
5.4%
19
 
5.4%
19
 
5.4%
19
 
5.4%
17
 
4.8%
17
 
4.8%
17
 
4.8%
16
 
4.5%
Other values (16) 144
40.7%
Common
ValueCountFrequency (%)
80
41.2%
) 30
 
15.5%
( 30
 
15.5%
9 11
 
5.7%
1 7
 
3.6%
5 6
 
3.1%
4 6
 
3.1%
3 6
 
3.1%
2 6
 
3.1%
6 5
 
2.6%
Other values (3) 7
 
3.6%
Latin
ValueCountFrequency (%)
C 17
33.3%
G 17
33.3%
V 17
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 354
59.1%
ASCII 245
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
32.7%
) 30
 
12.2%
( 30
 
12.2%
C 17
 
6.9%
G 17
 
6.9%
V 17
 
6.9%
9 11
 
4.5%
1 7
 
2.9%
5 6
 
2.4%
4 6
 
2.4%
Other values (6) 24
 
9.8%
Hangul
ValueCountFrequency (%)
44
 
12.4%
23
 
6.5%
19
 
5.4%
19
 
5.4%
19
 
5.4%
19
 
5.4%
17
 
4.8%
17
 
4.8%
17
 
4.8%
16
 
4.5%
Other values (16) 144
40.7%
Distinct34
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2009-04-08 13:24:46
Maximum2024-02-15 13:15:43
2024-04-30T04:25:17.542279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:25:17.659380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
U
35 
I
10 

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 (%)
U 35
77.8%
I 10
 
22.2%

Length

2024-04-30T04:25:17.765057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:17.861621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 35
77.8%
i 10
 
22.2%
Distinct8
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 23:07:00
2024-04-30T04:25:17.945683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:25:18.024126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

좌표정보(X)
Real number (ℝ)

Distinct6
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184925.47
Minimum182524.82
Maximum194088.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-30T04:25:18.106709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182524.82
5-th percentile182524.82
Q1182524.82
median185371.3
Q3186966.04
95-th percentile187210.92
Maximum194088.4
Range11563.574
Interquartile range (IQR)4441.2123

Descriptive statistics

Standard deviation2447.3058
Coefficient of variation (CV)0.013234011
Kurtosis2.5961648
Mean184925.47
Median Absolute Deviation (MAD)1839.619
Skewness1.0625602
Sum8321646.1
Variance5989305.5
MonotonicityNot monotonic
2024-04-30T04:25:18.199446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
182524.823835629 19
42.2%
187210.917773717 8
17.8%
186966.036176588 6
 
13.3%
185371.298773738 6
 
13.3%
185574.937191115 5
 
11.1%
194088.398130715 1
 
2.2%
ValueCountFrequency (%)
182524.823835629 19
42.2%
185371.298773738 6
 
13.3%
185574.937191115 5
 
11.1%
186966.036176588 6
 
13.3%
187210.917773717 8
17.8%
194088.398130715 1
 
2.2%
ValueCountFrequency (%)
194088.398130715 1
 
2.2%
187210.917773717 8
17.8%
186966.036176588 6
 
13.3%
185574.937191115 5
 
11.1%
185371.298773738 6
 
13.3%
182524.823835629 19
42.2%

좌표정보(Y)
Real number (ℝ)

Distinct6
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450998.29
Minimum448716.27
Maximum457916.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-04-30T04:25:18.295808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448716.27
5-th percentile448716.27
Q1450631.44
median451047.29
Q3451438.25
95-th percentile451438.25
Maximum457916.95
Range9200.6757
Interquartile range (IQR)806.8154

Descriptive statistics

Standard deviation1339.3147
Coefficient of variation (CV)0.0029696669
Kurtosis16.439454
Mean450998.29
Median Absolute Deviation (MAD)390.96363
Skewness2.7021136
Sum20294923
Variance1793763.8
MonotonicityNot monotonic
2024-04-30T04:25:18.379370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
451438.25089679 19
42.2%
450631.435497518 8
17.8%
451047.287263879 6
 
13.3%
450793.771245265 6
 
13.3%
448716.274685045 5
 
11.1%
457916.950344408 1
 
2.2%
ValueCountFrequency (%)
448716.274685045 5
 
11.1%
450631.435497518 8
17.8%
450793.771245265 6
 
13.3%
451047.287263879 6
 
13.3%
451438.25089679 19
42.2%
457916.950344408 1
 
2.2%
ValueCountFrequency (%)
457916.950344408 1
 
2.2%
451438.25089679 19
42.2%
451047.287263879 6
 
13.3%
450793.771245265 6
 
13.3%
450631.435497518 8
17.8%
448716.274685045 5
 
11.1%
Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
영화상영관
31 
<NA>
14 

Length

Max length5
Median length5
Mean length4.6888889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 31
68.9%
<NA> 14
31.1%

Length

2024-04-30T04:25:18.472421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:18.560430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 31
68.9%
na 14
31.1%
Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
35 
영화상영관
10 

Length

Max length5
Median length4
Mean length4.2222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
77.8%
영화상영관 10
 
22.2%

Length

2024-04-30T04:25:18.655787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:18.744390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
77.8%
영화상영관 10
 
22.2%

총층수
Categorical

Distinct5
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
15 
4
8
3
0

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
<NA> 15
33.3%
4 9
20.0%
8 9
20.0%
3 6
 
13.3%
0 6
 
13.3%

Length

2024-04-30T04:25:18.858405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:19.165133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
33.3%
4 9
20.0%
8 9
20.0%
3 6
 
13.3%
0 6
 
13.3%

주변환경명
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
기타
결혼예식장주변

Length

Max length7
Median length4
Mean length4
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
기타 9
 
20.0%
결혼예식장주변 6
 
13.3%

Length

2024-04-30T04:25:19.275755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:19.383559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
기타 9
 
20.0%
결혼예식장주변 6
 
13.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

시설면적
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
24 
0
21 

Length

Max length4
Median length4
Mean length2.6
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> 24
53.3%
0 21
46.7%

Length

2024-04-30T04:25:19.499751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:19.617139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
53.3%
0 21
46.7%

지상층수
Categorical

Distinct5
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
15 
3
5
0
10

Length

Max length4
Median length1
Mean length2.1333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
33.3%
3 9
20.0%
5 9
20.0%
0 6
 
13.3%
10 6
 
13.3%

Length

2024-04-30T04:25:19.730600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:19.826233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
33.3%
3 9
20.0%
5 9
20.0%
0 6
 
13.3%
10 6
 
13.3%

지하층수
Categorical

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
15 
3
15 
1
0

Length

Max length4
Median length1
Mean length2
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
33.3%
3 15
33.3%
1 9
20.0%
0 6
 
13.3%

Length

2024-04-30T04:25:19.924539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:20.025228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
33.3%
3 15
33.3%
1 9
20.0%
0 6
 
13.3%

건물용도명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
기타
15 

Length

Max length4
Median length4
Mean length3.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
기타 15
33.3%

Length

2024-04-30T04:25:20.154233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:20.255712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
기타 15
33.3%

통로너비
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
24 
0
20 
1
 
1

Length

Max length4
Median length4
Mean length2.6
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
53.3%
0 20
44.4%
1 1
 
2.2%

Length

2024-04-30T04:25:20.344733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:20.438781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
53.3%
0 20
44.4%
1 1
 
2.2%
Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
24 
0
21 

Length

Max length4
Median length4
Mean length2.6
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> 24
53.3%
0 21
46.7%

Length

2024-04-30T04:25:20.525018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:20.614502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
53.3%
0 21
46.7%

노래방실수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
24 
0
21 

Length

Max length4
Median length4
Mean length2.6
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> 24
53.3%
0 21
46.7%

Length

2024-04-30T04:25:20.733116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:20.824954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
53.3%
0 21
46.7%

청소년실수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
24 
0
21 

Length

Max length4
Median length4
Mean length2.6
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> 24
53.3%
0 21
46.7%

Length

2024-04-30T04:25:20.917925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:21.002984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
53.3%
0 21
46.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

총게임기수
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
24 
0
21 

Length

Max length4
Median length4
Mean length2.6
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> 24
53.3%
0 21
46.7%

Length

2024-04-30T04:25:21.112417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:21.209507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
53.3%
0 21
46.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B
Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
영화관
31 
<NA>
14 

Length

Max length4
Median length3
Mean length3.3111111
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 31
68.9%
<NA> 14
31.1%

Length

2024-04-30T04:25:21.296834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:21.395238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 31
68.9%
na 14
31.1%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B
Distinct6
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
14 
20030122
20111206
20151016
20190125

Length

Max length8
Median length8
Mean length6.7555556
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row20000107
2nd row20030122
3rd row20030122
4th row20030122
5th row20030122

Common Values

ValueCountFrequency (%)
<NA> 14
31.1%
20030122 9
20.0%
20111206 9
20.0%
20151016 6
13.3%
20190125 6
13.3%
20000107 1
 
2.2%

Length

2024-04-30T04:25:21.517968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:21.626730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 14
31.1%
20030122 9
20.0%
20111206 9
20.0%
20151016 6
13.3%
20190125 6
13.3%
20000107 1
 
2.2%

지역구분명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
36 
자연녹지지역

Length

Max length6
Median length4
Mean length4.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
80.0%
자연녹지지역 9
 
20.0%

Length

2024-04-30T04:25:21.783780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:21.899276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
80.0%
자연녹지지역 9
 
20.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFF422000200000000120000107<NA>3폐업3폐업<NA><NA><NA><NA><NA><NA>122848서울특별시 은평구 불광동 31-2번지서울특별시 은평구 불광로18가길 20-2 (불광동)<NA>객석시네마2009-04-08 13:24:46I2018-08-31 23:59:59.0<NA>194088.398131457916.950344영화상영관영화상영관<NA><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>20000107<NA>
13150000CDFF422000200300000120030122<NA>3폐업3폐업20180118<NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 886번지서울특별시 강서구 하늘길 38 (방화동)7505CGV 김포공항9 (1관)2018-01-18 14:46:13I2018-08-31 23:59:59.0<NA>182524.823836451438.250897영화상영관영화상영관4기타<NA><NA>31기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20030122자연녹지지역
23150000CDFF422000200300000220030122<NA>3폐업3폐업20180118<NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 886번지서울특별시 강서구 하늘길 38 (방화동)7505CGV김포공항9 (2관)2018-01-18 14:45:46I2018-08-31 23:59:59.0<NA>182524.823836451438.250897영화상영관영화상영관4기타<NA><NA>31기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20030122자연녹지지역
33150000CDFF422000200300000320030122<NA>3폐업3폐업<NA><NA><NA><NA>6255-9090<NA><NA>서울특별시 강서구 방화동 886번지서울특별시 강서구 하늘길 38 (방화동)7505CGV김포공항9 (3관)2018-01-18 14:47:04I2018-08-31 23:59:59.0<NA>182524.823836451438.250897영화상영관영화상영관4기타<NA><NA>31기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20030122자연녹지지역
43150000CDFF422000200300000420030122<NA>3폐업3폐업20180118<NA><NA><NA>6255-9090<NA><NA>서울특별시 강서구 방화동 886번지서울특별시 강서구 하늘길 38 (방화동)7505CGV김포공항9 (4관)2018-01-18 14:50:42I2018-08-31 23:59:59.0<NA>182524.823836451438.250897영화상영관영화상영관4기타<NA><NA>31기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20030122자연녹지지역
53150000CDFF422000200300000520030122<NA>3폐업3폐업20180118<NA><NA><NA>6255-9090<NA><NA>서울특별시 강서구 방화동 886번지서울특별시 강서구 하늘길 38 (방화동)7505CGV김포공항9 (5관)2018-01-18 14:52:01I2018-08-31 23:59:59.0<NA>182524.823836451438.250897영화상영관영화상영관4기타<NA><NA>31기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20030122자연녹지지역
63150000CDFF422000200300000620030122<NA>3폐업3폐업20180118<NA><NA><NA>6255-9090<NA><NA>서울특별시 강서구 방화동 886번지서울특별시 강서구 하늘길 38 (방화동)7505CGV김포공항9 (6관)2018-01-18 14:52:49I2018-08-31 23:59:59.0<NA>182524.823836451438.250897영화상영관영화상영관4기타<NA><NA>31기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20030122자연녹지지역
73150000CDFF422000200300000720030122<NA>3폐업3폐업20180118<NA><NA><NA>6255-9090<NA><NA>서울특별시 강서구 방화동 886번지서울특별시 강서구 하늘길 38 (방화동)7505CGV김포공항9 (7관)2018-01-18 14:53:38I2018-08-31 23:59:59.0<NA>182524.823836451438.250897영화상영관영화상영관4기타<NA><NA>31기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20030122자연녹지지역
83150000CDFF422000200300000820030122<NA>3폐업3폐업20180118<NA><NA><NA>6255-9090<NA><NA>서울특별시 강서구 방화동 886번지서울특별시 강서구 하늘길 38 (방화동)7505CGV김포공항9 (8관)2018-01-18 14:54:27I2018-08-31 23:59:59.0<NA>182524.823836451438.250897영화상영관영화상영관4기타<NA><NA>31기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20030122자연녹지지역
93150000CDFF422000200300000920030122<NA>3폐업3폐업20180118<NA><NA><NA><NA><NA><NA>서울특별시 강서구 방화동 886번지서울특별시 강서구 하늘길 38 (방화동)7505CGV김포공항9 (9관)2018-01-18 14:55:22I2018-08-31 23:59:59.0<NA>182524.823836451438.250897영화상영관영화상영관4기타<NA><NA>31기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20030122자연녹지지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
353150000CDFF42200020170000052017-09-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 797-1 퀸즈파크나인서울특별시 강서구 공항대로 247, 4층 (마곡동, 퀸즈파크나인)7803메가박스중앙(주) 마곡지점 5관2024-02-15 13:15:14U2023-12-01 23:07:00.0<NA>185371.298774450793.771245<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363150000CDFF42200020170000062017-09-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 797-1 퀸즈파크나인서울특별시 강서구 공항대로 247, 4층 (마곡동, 퀸즈파크나인)7803메가박스중앙(주) 마곡지점 6관2024-02-15 13:15:43U2023-12-01 23:07:00.0<NA>185371.298774450793.771245<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373150000CDFF422000201900000120190125<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3665-9064<NA><NA>서울특별시 강서구 등촌동 639-23 3~9층서울특별시 강서구 공항대로45길 63, 3~9층 (등촌동)7567CGV 등촌 1관2021-11-08 16:57:57U2021-11-10 02:40:00.0<NA>187210.917774450631.435498영화상영관<NA>0<NA><NA>0103<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190125<NA>
383150000CDFF422000201900000220190125<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3665-9064<NA><NA>서울특별시 강서구 등촌동 639-23 3~9층서울특별시 강서구 공항대로45길 63, 3~9층 (등촌동)7567CGV 등촌 2관2021-11-08 16:58:08U2021-11-10 02:40:00.0<NA>187210.917774450631.435498영화상영관<NA>0<NA><NA>0103<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190125<NA>
393150000CDFF422000201900000320190125<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3665-9064<NA><NA>서울특별시 강서구 등촌동 639-23 3~9층서울특별시 강서구 공항대로45길 63, 3~9층 (등촌동)7567CGV 등촌 3관2021-11-08 16:58:18U2021-11-10 02:40:00.0<NA>187210.917774450631.435498영화상영관<NA>0<NA><NA>0103<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190125<NA>
403150000CDFF422000201900000420190125<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3665-9064<NA><NA>서울특별시 강서구 등촌동 639-23 3~9층서울특별시 강서구 공항대로45길 63, 3~9층 (등촌동)7567CGV 등촌 4관2021-11-08 16:58:29U2021-11-10 02:40:00.0<NA>187210.917774450631.435498영화상영관<NA>0<NA><NA>0103<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190125<NA>
413150000CDFF422000201900000520190125<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3665-9064<NA><NA>서울특별시 강서구 등촌동 639-23 3~9층서울특별시 강서구 공항대로45길 63, 3~9층 (등촌동)7567CGV 등촌 5관2021-11-08 17:05:05U2021-11-10 02:40:00.0<NA>187210.917774450631.435498영화상영관<NA>0<NA><NA>0103<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190125<NA>
423150000CDFF422000201900000620190125<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3665-9064<NA><NA>서울특별시 강서구 등촌동 639-23 3~9층서울특별시 강서구 공항대로45길 63, 3~9층 (등촌동)7567CGV 등촌 6관2021-11-08 17:07:28U2021-11-10 02:40:00.0<NA>187210.917774450631.435498영화상영관<NA>0<NA><NA>0103<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20190125<NA>
433150000CDFF422000201900000720190125<NA>3폐업3폐업20221128<NA><NA><NA>02-3665-9064<NA><NA>서울특별시 강서구 등촌동 639-23 3~9층서울특별시 강서구 공항대로45길 63, 3~9층 (등촌동)7567CGV 등촌 7관2022-12-15 15:48:58U2021-11-01 23:07:00.0<NA>187210.917774450631.435498<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443150000CDFF422000201900000820190125<NA>3폐업3폐업20221128<NA><NA><NA>02-3665-9064<NA><NA>서울특별시 강서구 등촌동 639-23 3~9층서울특별시 강서구 공항대로45길 63, 3~9층 (등촌동)7567CGV 등촌 8관2022-12-15 16:15:02U2021-11-01 23:07:00.0<NA>187210.917774450631.435498<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>