Overview

Dataset statistics

Number of variables56
Number of observations35
Missing cells972
Missing cells (%)49.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory491.8 B

Variable types

Categorical23
Text3
Numeric2
Unsupported27
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17676/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
공연장형태구분명 has constant value ""Constant
인허가취소일자 has 35 (100.0%) missing valuesMissing
휴업시작일자 has 35 (100.0%) missing valuesMissing
휴업종료일자 has 35 (100.0%) missing valuesMissing
재개업일자 has 35 (100.0%) missing valuesMissing
전화번호 has 27 (77.1%) missing valuesMissing
소재지면적 has 35 (100.0%) missing valuesMissing
업태구분명 has 35 (100.0%) missing valuesMissing
제작취급품목내용 has 35 (100.0%) missing valuesMissing
시설면적 has 35 (100.0%) missing valuesMissing
통로너비 has 35 (100.0%) missing valuesMissing
조명시설조도 has 35 (100.0%) missing valuesMissing
노래방실수 has 35 (100.0%) missing valuesMissing
청소년실수 has 35 (100.0%) missing valuesMissing
비상계단여부 has 35 (100.0%) missing valuesMissing
비상구여부 has 35 (100.0%) missing valuesMissing
자동환기여부 has 35 (100.0%) missing valuesMissing
청소년실여부 has 35 (100.0%) missing valuesMissing
특수조명여부 has 35 (100.0%) missing valuesMissing
방음시설여부 has 35 (100.0%) missing valuesMissing
비디오재생기명 has 35 (100.0%) missing valuesMissing
조명시설유무 has 35 (100.0%) missing valuesMissing
음향시설여부 has 35 (100.0%) missing valuesMissing
편의시설여부 has 35 (100.0%) missing valuesMissing
소방시설여부 has 35 (100.0%) missing valuesMissing
총게임기수 has 35 (100.0%) missing valuesMissing
기존게임업외업종명 has 35 (100.0%) missing valuesMissing
제공게임물명 has 35 (100.0%) missing valuesMissing
품목명 has 35 (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
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

Reproduction

Analysis started2024-05-11 06:23:35.869846
Analysis finished2024-05-11 06:23:36.449567
Duration0.58 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
3240000
35 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 35
100.0%

Length

2024-05-11T15:23:36.613589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:36.809345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 35
100.0%

관리번호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-05-11T15:23:37.101540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters700
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

Unique35 ?
Unique (%)100.0%

Sample

1st rowCDFF4220001992000001
2nd rowCDFF4220001992000002
3rd rowCDFF4220001995000001
4th rowCDFF4220001995000002
5th rowCDFF4220001995000003
ValueCountFrequency (%)
cdff4220001992000001 1
 
2.9%
cdff4220002004000009 1
 
2.9%
cdff4220002004000011 1
 
2.9%
cdff4220002005000001 1
 
2.9%
cdff4220002005000002 1
 
2.9%
cdff4220002005000003 1
 
2.9%
cdff4220002005000004 1
 
2.9%
cdff4220002008000001 1
 
2.9%
cdff4220002004000010 1
 
2.9%
cdff4220002008000002 1
 
2.9%
Other values (25) 25
71.4%
2024-05-11T15:23:37.706409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 330
47.1%
2 107
 
15.3%
F 70
 
10.0%
4 50
 
7.1%
C 35
 
5.0%
D 35
 
5.0%
1 24
 
3.4%
9 18
 
2.6%
5 16
 
2.3%
3 6
 
0.9%
Other values (3) 9
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
80.0%
Uppercase Letter 140
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 330
58.9%
2 107
 
19.1%
4 50
 
8.9%
1 24
 
4.3%
9 18
 
3.2%
5 16
 
2.9%
3 6
 
1.1%
8 6
 
1.1%
6 2
 
0.4%
7 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 70
50.0%
C 35
25.0%
D 35
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 560
80.0%
Latin 140
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 330
58.9%
2 107
 
19.1%
4 50
 
8.9%
1 24
 
4.3%
9 18
 
3.2%
5 16
 
2.9%
3 6
 
1.1%
8 6
 
1.1%
6 2
 
0.4%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
F 70
50.0%
C 35
25.0%
D 35
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 330
47.1%
2 107
 
15.3%
F 70
 
10.0%
4 50
 
7.1%
C 35
 
5.0%
D 35
 
5.0%
1 24
 
3.4%
9 18
 
2.6%
5 16
 
2.3%
3 6
 
0.9%
Other values (3) 9
 
1.3%

인허가일자
Real number (ℝ)

Distinct9
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20041600
Minimum19920724
Maximum20150706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T15:23:37.933282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19920724
5-th percentile19941998
Q120000616
median20040715
Q320080918
95-th percentile20150706
Maximum20150706
Range229982
Interquartile range (IQR)80302

Descriptive statistics

Standard deviation66715.449
Coefficient of variation (CV)0.0033288485
Kurtosis-0.47735769
Mean20041600
Median Absolute Deviation (MAD)40203
Skewness0.10209597
Sum7.0145599 × 108
Variance4.4509511 × 109
MonotonicityIncreasing
2024-05-11T15:23:38.132573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20040715 10
28.6%
20150706 6
17.1%
19951115 4
 
11.4%
20050613 4
 
11.4%
20080918 4
 
11.4%
20000616 3
 
8.6%
19920724 2
 
5.7%
19980123 1
 
2.9%
19990604 1
 
2.9%
ValueCountFrequency (%)
19920724 2
 
5.7%
19951115 4
 
11.4%
19980123 1
 
2.9%
19990604 1
 
2.9%
20000616 3
 
8.6%
20040715 10
28.6%
20050613 4
 
11.4%
20080918 4
 
11.4%
20150706 6
17.1%
ValueCountFrequency (%)
20150706 6
17.1%
20080918 4
 
11.4%
20050613 4
 
11.4%
20040715 10
28.6%
20000616 3
 
8.6%
19990604 1
 
2.9%
19980123 1
 
2.9%
19951115 4
 
11.4%
19920724 2
 
5.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B
Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
1
25 
3
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 25
71.4%
3 10
 
28.6%

Length

2024-05-11T15:23:38.390178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:38.579707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 25
71.4%
3 10
 
28.6%

영업상태명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
영업/정상
25 
폐업
10 

Length

Max length5
Median length5
Mean length4.1428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 25
71.4%
폐업 10
 
28.6%

Length

2024-05-11T15:23:39.213542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:39.412079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 25
71.4%
폐업 10
 
28.6%
Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
13
25 
3
10 

Length

Max length2
Median length2
Mean length1.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 25
71.4%
3 10
 
28.6%

Length

2024-05-11T15:23:39.616503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:39.836624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 25
71.4%
3 10
 
28.6%
Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
영업중
25 
폐업
10 

Length

Max length3
Median length3
Mean length2.7142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 25
71.4%
폐업 10
 
28.6%

Length

2024-05-11T15:23:40.139628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:40.347468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 25
71.4%
폐업 10
 
28.6%

폐업일자
Categorical

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
25 
20101101
20090723
20100907
 
1

Length

Max length8
Median length4
Mean length5.1428571
Min length4

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row20101101
2nd row20101101
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 25
71.4%
20101101 5
 
14.3%
20090723 4
 
11.4%
20100907 1
 
2.9%

Length

2024-05-11T15:23:40.601085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:40.901623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
71.4%
20101101 5
 
14.3%
20090723 4
 
11.4%
20100907 1
 
2.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

전화번호
Text

MISSING 

Distinct5
Distinct (%)62.5%
Missing27
Missing (%)77.1%
Memory size412.0 B
2024-05-11T15:23:41.153050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.75
Min length8

Characters and Unicode

Total characters70
Distinct characters10
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

Unique4 ?
Unique (%)50.0%

Sample

1st row483-5425
2nd row488-1411
3rd row02-482-8746
4th row426-7034
5th row426-7034
ValueCountFrequency (%)
426-7034 4
50.0%
483-5425 1
 
12.5%
488-1411 1
 
12.5%
02-482-8746 1
 
12.5%
02-470-1602 1
 
12.5%
2024-05-11T15:23:41.697708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 15
21.4%
- 10
14.3%
2 9
12.9%
0 8
11.4%
6 6
 
8.6%
7 6
 
8.6%
3 5
 
7.1%
8 5
 
7.1%
1 4
 
5.7%
5 2
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60
85.7%
Dash Punctuation 10
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 15
25.0%
2 9
15.0%
0 8
13.3%
6 6
 
10.0%
7 6
 
10.0%
3 5
 
8.3%
8 5
 
8.3%
1 4
 
6.7%
5 2
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 15
21.4%
- 10
14.3%
2 9
12.9%
0 8
11.4%
6 6
 
8.6%
7 6
 
8.6%
3 5
 
7.1%
8 5
 
7.1%
1 4
 
5.7%
5 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 15
21.4%
- 10
14.3%
2 9
12.9%
0 8
11.4%
6 6
 
8.6%
7 6
 
8.6%
3 5
 
7.1%
8 5
 
7.1%
1 4
 
5.7%
5 2
 
2.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B
Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
31 
134840

Length

Max length6
Median length4
Mean length4.2285714
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> 31
88.6%
134840 4
 
11.4%

Length

2024-05-11T15:23:41.982652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:42.213154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
88.6%
134840 4
 
11.4%

지번주소
Categorical

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
서울특별시 강동구 성내동 44-1번지
10 
서울특별시 강동구 성내동 549-1번지
서울특별시 강동구 성내동 48-1번지
서울특별시 강동구 천호동 42
서울특별시 강동구 암사동 501-9번지 반달길 65

Length

Max length29
Median length22
Mean length21.485714
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 강동구 성내동 48-1번지
2nd row서울특별시 강동구 성내동 48-1번지
3rd row서울특별시 강동구 성내동 549-1번지
4th row서울특별시 강동구 성내동 549-1번지
5th row서울특별시 강동구 성내동 549-1번지

Common Values

ValueCountFrequency (%)
서울특별시 강동구 성내동 44-1번지 10
28.6%
서울특별시 강동구 성내동 549-1번지 9
25.7%
서울특별시 강동구 성내동 48-1번지 6
17.1%
서울특별시 강동구 천호동 42 6
17.1%
서울특별시 강동구 암사동 501-9번지 반달길 65 4
 
11.4%

Length

2024-05-11T15:23:42.440038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:42.666492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 35
23.6%
강동구 35
23.6%
성내동 25
16.9%
44-1번지 10
 
6.8%
549-1번지 9
 
6.1%
48-1번지 6
 
4.1%
천호동 6
 
4.1%
42 6
 
4.1%
암사동 4
 
2.7%
501-9번지 4
 
2.7%
Other values (2) 8
 
5.4%

도로명주소
Categorical

Distinct6
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
서울특별시 강동구 성내로 48 (성내동)
서울특별시 강동구 천호옛길 85 (성내동)
서울특별시 강동구 천호대로 1016 (성내동)
서울특별시 강동구 양재대로 1571, 4층 (천호동)
서울특별시 강동구 올림픽로98길 8 (암사동,반달길 65)

Length

Max length33
Median length26
Mean length25.514286
Min length22

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 강동구 천호대로 1016 (성내동)
2nd row서울특별시 강동구 천호대로 1016 (성내동)
3rd row서울특별시 강동구 성내로 48 (성내동)
4th row서울특별시 강동구 성내로 48 (성내동)
5th row서울특별시 강동구 성내로 48 (성내동)

Common Values

ValueCountFrequency (%)
서울특별시 강동구 성내로 48 (성내동) 9
25.7%
서울특별시 강동구 천호옛길 85 (성내동) 7
20.0%
서울특별시 강동구 천호대로 1016 (성내동) 6
17.1%
서울특별시 강동구 양재대로 1571, 4층 (천호동) 6
17.1%
서울특별시 강동구 올림픽로98길 8 (암사동,반달길 65) 4
11.4%
서울특별시 강동구 천호옛길 85 (성내동) 3
 
8.6%

Length

2024-05-11T15:23:42.965588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:43.255220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 35
18.9%
강동구 35
18.9%
성내동 25
13.5%
천호옛길 10
 
5.4%
85 10
 
5.4%
성내로 9
 
4.9%
48 9
 
4.9%
1571 6
 
3.2%
천호동 6
 
3.2%
4층 6
 
3.2%
Other values (7) 34
18.4%
Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
28 
5314
5378
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
80.0%
5314 6
 
17.1%
5378 1
 
2.9%

Length

2024-05-11T15:23:43.542772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:43.873093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
80.0%
5314 6
 
17.1%
5378 1
 
2.9%
Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-05-11T15:23:44.205467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.2
Min length7

Characters and Unicode

Total characters287
Distinct characters32
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)94.3%

Sample

1st row한일시네마 1관
2nd row한일시네마 2관
3rd row메가박스 강동1
4th row메가박스 강동2
5th row메가박스 강동3
ValueCountFrequency (%)
롯데시네마 10
13.3%
메가박스 9
12.0%
한일시네마 6
 
8.0%
cgv 6
 
8.0%
천호 6
 
8.0%
4관 4
 
5.3%
1관 4
 
5.3%
3관 4
 
5.3%
2관 4
 
5.3%
5관 3
 
4.0%
Other values (16) 19
25.3%
2024-05-11T15:23:44.898551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
13.9%
26
 
9.1%
20
 
7.0%
20
 
7.0%
20
 
7.0%
10
 
3.5%
10
 
3.5%
9
 
3.1%
9
 
3.1%
9
 
3.1%
Other values (22) 114
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
66.9%
Space Separator 40
 
13.9%
Decimal Number 37
 
12.9%
Uppercase Letter 18
 
6.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
13.5%
20
 
10.4%
20
 
10.4%
20
 
10.4%
10
 
5.2%
10
 
5.2%
9
 
4.7%
9
 
4.7%
9
 
4.7%
9
 
4.7%
Other values (8) 50
26.0%
Decimal Number
ValueCountFrequency (%)
1 7
18.9%
3 6
16.2%
2 5
13.5%
4 5
13.5%
5 3
8.1%
6 3
8.1%
8 2
 
5.4%
0 2
 
5.4%
7 2
 
5.4%
9 2
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
V 6
33.3%
G 6
33.3%
C 6
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
66.9%
Common 77
26.8%
Latin 18
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
13.5%
20
 
10.4%
20
 
10.4%
20
 
10.4%
10
 
5.2%
10
 
5.2%
9
 
4.7%
9
 
4.7%
9
 
4.7%
9
 
4.7%
Other values (8) 50
26.0%
Common
ValueCountFrequency (%)
40
51.9%
1 7
 
9.1%
3 6
 
7.8%
2 5
 
6.5%
4 5
 
6.5%
5 3
 
3.9%
6 3
 
3.9%
8 2
 
2.6%
0 2
 
2.6%
7 2
 
2.6%
Latin
ValueCountFrequency (%)
V 6
33.3%
G 6
33.3%
C 6
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
66.9%
ASCII 95
33.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
42.1%
1 7
 
7.4%
V 6
 
6.3%
G 6
 
6.3%
C 6
 
6.3%
3 6
 
6.3%
2 5
 
5.3%
4 5
 
5.3%
5 3
 
3.2%
6 3
 
3.2%
Other values (4) 8
 
8.4%
Hangul
ValueCountFrequency (%)
26
13.5%
20
 
10.4%
20
 
10.4%
20
 
10.4%
10
 
5.2%
10
 
5.2%
9
 
4.7%
9
 
4.7%
9
 
4.7%
9
 
4.7%
Other values (8) 50
26.0%

최종수정일자
Date

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2008-05-13 14:51:36
Maximum2021-04-22 11:16:11
2024-05-11T15:23:45.172345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:45.435435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
I
26 
U

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 26
74.3%
U 9
 
25.7%

Length

2024-05-11T15:23:45.724948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:45.997338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 26
74.3%
u 9
 
25.7%
Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
2018-08-31 23:59:59.0
26 
2021-04-24 02:40:00.0
2020-04-04 02:40:00.0

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 26
74.3%
2021-04-24 02:40:00.0 6
 
17.1%
2020-04-04 02:40:00.0 3
 
8.6%

Length

2024-05-11T15:23:46.204683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:46.431058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 26
37.1%
23:59:59.0 26
37.1%
02:40:00.0 9
 
12.9%
2021-04-24 6
 
8.6%
2020-04-04 3
 
4.3%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

좌표정보(X)
Categorical

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
211008.019335434
10 
210992.497270009
210960.413495191
212501.369116329
211277.491155668

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row210960.413495191
2nd row210960.413495191
3rd row210992.497270009
4th row210992.497270009
5th row210992.497270009

Common Values

ValueCountFrequency (%)
211008.019335434 10
28.6%
210992.497270009 9
25.7%
210960.413495191 6
17.1%
212501.369116329 6
17.1%
211277.491155668 4
 
11.4%

Length

2024-05-11T15:23:46.678466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:46.894152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
211008.019335434 10
28.6%
210992.497270009 9
25.7%
210960.413495191 6
17.1%
212501.369116329 6
17.1%
211277.491155668 4
 
11.4%

좌표정보(Y)
Categorical

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
448270.500366001
10 
447372.617182859
448403.019701076
449282.31038379
449873.290265424

Length

Max length16
Median length16
Mean length15.828571
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row448403.019701076
2nd row448403.019701076
3rd row447372.617182859
4th row447372.617182859
5th row447372.617182859

Common Values

ValueCountFrequency (%)
448270.500366001 10
28.6%
447372.617182859 9
25.7%
448403.019701076 6
17.1%
449282.31038379 6
17.1%
449873.290265424 4
 
11.4%

Length

2024-05-11T15:23:47.198088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:47.396994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
448270.500366001 10
28.6%
447372.617182859 9
25.7%
448403.019701076 6
17.1%
449282.31038379 6
17.1%
449873.290265424 4
 
11.4%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
영화상영관
35 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 35
100.0%

Length

2024-05-11T15:23:47.632964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:47.819786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 35
100.0%
Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
영화상영관
29 
<NA>

Length

Max length5
Median length5
Mean length4.8285714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 29
82.9%
<NA> 6
 
17.1%

Length

2024-05-11T15:23:47.998371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:48.165709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 29
82.9%
na 6
 
17.1%

총층수
Categorical

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
12
10 
13
10 
10
<NA>

Length

Max length4
Median length2
Mean length2.3428571
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12
2nd row12
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
12 10
28.6%
13 10
28.6%
10 9
25.7%
<NA> 6
17.1%

Length

2024-05-11T15:23:48.391207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:48.610623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12 10
28.6%
13 10
28.6%
10 9
25.7%
na 6
17.1%

주변환경명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
21 
기타
14 

Length

Max length4
Median length4
Mean length3.2
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> 21
60.0%
기타 14
40.0%

Length

2024-05-11T15:23:48.816830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:49.099781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
60.0%
기타 14
40.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

지상층수
Categorical

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
8
18 
10
9
<NA>
7

Length

Max length4
Median length1
Mean length1.4857143
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8
2nd row8
3rd row8
4th row8
5th row8

Common Values

ValueCountFrequency (%)
8 18
51.4%
10 8
22.9%
9 4
 
11.4%
<NA> 3
 
8.6%
7 2
 
5.7%

Length

2024-05-11T15:23:49.322082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:49.551070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8 18
51.4%
10 8
22.9%
9 4
 
11.4%
na 3
 
8.6%
7 2
 
5.7%

지하층수
Categorical

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
3
14 
2
4
6
<NA>

Length

Max length4
Median length1
Mean length1.2571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
3 14
40.0%
2 9
25.7%
4 6
17.1%
6 3
 
8.6%
<NA> 3
 
8.6%

Length

2024-05-11T15:23:49.793723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:49.998835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
40.0%
2 9
25.7%
4 6
17.1%
6 3
 
8.6%
na 3
 
8.6%

건물용도명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
문화시설
25 
<NA>
10 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화시설 25
71.4%
<NA> 10
 
28.6%

Length

2024-05-11T15:23:50.227330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:50.416405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화시설 25
71.4%
na 10
 
28.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

공연장형태구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
영화관
35 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 35
100.0%

Length

2024-05-11T15:23:50.657398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:50.844388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 35
100.0%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

최초등록시점
Real number (ℝ)

Distinct9
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20041600
Minimum19920724
Maximum20150706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T15:23:51.023964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19920724
5-th percentile19941998
Q120000616
median20040715
Q320080918
95-th percentile20150706
Maximum20150706
Range229982
Interquartile range (IQR)80302

Descriptive statistics

Standard deviation66715.449
Coefficient of variation (CV)0.0033288485
Kurtosis-0.47735769
Mean20041600
Median Absolute Deviation (MAD)40203
Skewness0.10209597
Sum7.0145599 × 108
Variance4.4509511 × 109
MonotonicityIncreasing
2024-05-11T15:23:51.301113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
20040715 10
28.6%
20150706 6
17.1%
19951115 4
 
11.4%
20050613 4
 
11.4%
20080918 4
 
11.4%
20000616 3
 
8.6%
19920724 2
 
5.7%
19980123 1
 
2.9%
19990604 1
 
2.9%
ValueCountFrequency (%)
19920724 2
 
5.7%
19951115 4
 
11.4%
19980123 1
 
2.9%
19990604 1
 
2.9%
20000616 3
 
8.6%
20040715 10
28.6%
20050613 4
 
11.4%
20080918 4
 
11.4%
20150706 6
17.1%
ValueCountFrequency (%)
20150706 6
17.1%
20080918 4
 
11.4%
20050613 4
 
11.4%
20040715 10
28.6%
20000616 3
 
8.6%
19990604 1
 
2.9%
19980123 1
 
2.9%
19951115 4
 
11.4%
19920724 2
 
5.7%

지역구분명
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
준주거지역
14 
상업지역
11 
<NA>
10 

Length

Max length5
Median length4
Mean length4.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
준주거지역 14
40.0%
상업지역 11
31.4%
<NA> 10
28.6%

Length

2024-05-11T15:23:51.543952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:51.776185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
준주거지역 14
40.0%
상업지역 11
31.4%
na 10
28.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03240000CDFF422000199200000119920724<NA>3폐업3폐업20101101<NA><NA><NA>483-5425<NA><NA>서울특별시 강동구 성내동 48-1번지서울특별시 강동구 천호대로 1016 (성내동)<NA>한일시네마 1관2010-11-05 16:01:12I2018-08-31 23:59:59.0<NA>210960.413495448403.019701영화상영관영화상영관12<NA><NA><NA>84문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19920724상업지역
13240000CDFF422000199200000219920724<NA>3폐업3폐업20101101<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 48-1번지서울특별시 강동구 천호대로 1016 (성내동)<NA>한일시네마 2관2010-11-05 16:01:32I2018-08-31 23:59:59.0<NA>210960.413495448403.019701영화상영관영화상영관12<NA><NA><NA>84문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19920724상업지역
23240000CDFF422000199500000119951115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 549-1번지서울특별시 강동구 성내로 48 (성내동)<NA>메가박스 강동12018-05-23 09:26:21I2018-08-31 23:59:59.0<NA>210992.49727447372.617183영화상영관영화상영관10<NA><NA><NA>82문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19951115상업지역
33240000CDFF422000199500000219951115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 549-1번지서울특별시 강동구 성내로 48 (성내동)<NA>메가박스 강동22018-05-23 09:30:22I2018-08-31 23:59:59.0<NA>210992.49727447372.617183영화상영관영화상영관10<NA><NA><NA>82문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19951115상업지역
43240000CDFF422000199500000319951115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 549-1번지서울특별시 강동구 성내로 48 (성내동)<NA>메가박스 강동32018-05-23 09:31:21I2018-08-31 23:59:59.0<NA>210992.49727447372.617183영화상영관영화상영관10<NA><NA><NA>82문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19951115상업지역
53240000CDFF422000199500000419951115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 549-1번지서울특별시 강동구 성내로 48 (성내동)<NA>메가박스 강동42018-05-23 09:28:15I2018-08-31 23:59:59.0<NA>210992.49727447372.617183영화상영관영화상영관10<NA><NA><NA>82문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19951115상업지역
63240000CDFF422000199800000119980123<NA>3폐업3폐업20100907<NA><NA><NA><NA><NA>134840서울특별시 강동구 성내동 48-1번지서울특별시 강동구 천호대로 1016 (성내동)<NA>한일시네마 3관2010-09-07 09:36:22I2018-08-31 23:59:59.0<NA>210960.413495448403.019701영화상영관영화상영관12<NA><NA><NA>84문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19980123상업지역
73240000CDFF422000199900000219990604<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 549-1번지서울특별시 강동구 성내로 48 (성내동)<NA>메가박스 강동62018-05-30 17:17:08I2018-08-31 23:59:59.0<NA>210992.49727447372.617183영화상영관영화상영관10<NA><NA><NA>82문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19990604상업지역
83240000CDFF422000200000000120000616<NA>3폐업3폐업20101101<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 48-1번지서울특별시 강동구 천호대로 1016 (성내동)<NA>한일시네마 3관2010-11-05 16:01:53I2018-08-31 23:59:59.0<NA>210960.413495448403.019701영화상영관영화상영관12<NA><NA><NA>84문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20000616상업지역
93240000CDFF422000200000000220000616<NA>3폐업3폐업20101101<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 48-1번지서울특별시 강동구 천호대로 1016 (성내동)<NA>한일시네마 4관2010-11-05 16:02:08I2018-08-31 23:59:59.0<NA>210960.413495448403.019701영화상영관영화상영관12<NA><NA><NA>84문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20000616상업지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
253240000CDFF422000200800000120080918<NA>3폐업3폐업20090723<NA><NA><NA>426-7034<NA><NA>서울특별시 강동구 암사동 501-9번지 반달길 65서울특별시 강동구 올림픽로98길 8 (암사동,반달길 65)<NA>암사시네마 1관2009-07-24 09:47:53I2018-08-31 23:59:59.0<NA>211277.491156449873.290265영화상영관영화상영관12기타<NA><NA>93문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20080918준주거지역
263240000CDFF422000200800000220080918<NA>3폐업3폐업20090723<NA><NA><NA>426-7034<NA><NA>서울특별시 강동구 암사동 501-9번지 반달길 65서울특별시 강동구 올림픽로98길 8 (암사동,반달길 65)<NA>암사시네마 2관2009-07-24 09:48:20I2018-08-31 23:59:59.0<NA>211277.491156449873.290265영화상영관영화상영관12기타<NA><NA>93문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20080918준주거지역
273240000CDFF422000200800000320080918<NA>3폐업3폐업20090723<NA><NA><NA>426-7034<NA><NA>서울특별시 강동구 암사동 501-9번지 반달길 65서울특별시 강동구 올림픽로98길 8 (암사동,반달길 65)<NA>암사시네마 4관2009-07-24 09:48:45I2018-08-31 23:59:59.0<NA>211277.491156449873.290265영화상영관영화상영관12기타<NA><NA>93문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20080918준주거지역
283240000CDFF422000200800000420080918<NA>3폐업3폐업20090723<NA><NA><NA>426-7034<NA><NA>서울특별시 강동구 암사동 501-9번지 반달길 65서울특별시 강동구 올림픽로98길 8 (암사동,반달길 65)<NA>암사시네마3관2009-07-24 09:49:15I2018-08-31 23:59:59.0<NA>211277.491156449873.290265영화상영관영화상영관12기타<NA><NA>93문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20080918준주거지역
293240000CDFF422000201500000120150706<NA>1영업/정상13영업중<NA><NA><NA><NA>02-470-1602<NA><NA>서울특별시 강동구 천호동 42서울특별시 강동구 양재대로 1571, 4층 (천호동)5314CGV 천호 1관2021-04-22 11:11:38U2021-04-24 02:40:00.0<NA>212501.369116449282.310384영화상영관<NA><NA><NA><NA><NA>86<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20150706<NA>
303240000CDFF422000201500000220150706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42서울특별시 강동구 양재대로 1571, 4층 (천호동)5314CGV 천호 2관2021-04-22 11:12:08U2021-04-24 02:40:00.0<NA>212501.369116449282.310384영화상영관<NA><NA><NA><NA><NA>86<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20150706<NA>
313240000CDFF422000201500000320150706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42서울특별시 강동구 양재대로 1571, 4층 (천호동)5314CGV 천호 3관2021-04-22 11:12:17U2021-04-24 02:40:00.0<NA>212501.369116449282.310384영화상영관<NA><NA><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>20150706<NA>
323240000CDFF422000201500000420150706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42서울특별시 강동구 양재대로 1571, 4층 (천호동)5314CGV 천호 4관2021-04-22 11:12:29U2021-04-24 02:40:00.0<NA>212501.369116449282.310384영화상영관<NA><NA><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>20150706<NA>
333240000CDFF422000201500000520150706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42서울특별시 강동구 양재대로 1571, 4층 (천호동)5314CGV 천호 5관2021-04-22 11:12:39U2021-04-24 02:40:00.0<NA>212501.369116449282.310384영화상영관<NA><NA><NA><NA><NA>86<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20150706<NA>
343240000CDFF422000201500000620150706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 42서울특별시 강동구 양재대로 1571, 4층 (천호동)5314CGV 천호 6관2021-04-22 11:16:11U2021-04-24 02:40:00.0<NA>212501.369116449282.310384영화상영관<NA><NA><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>20150706<NA>