Overview

Dataset statistics

Number of variables56
Number of observations23
Missing cells598
Missing cells (%)46.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.1 KiB
Average record size in memory493.7 B

Variable types

Categorical27
Text2
Unsupported26
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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-17672/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 23 (100.0%) missing valuesMissing
휴업시작일자 has 23 (100.0%) missing valuesMissing
휴업종료일자 has 23 (100.0%) missing valuesMissing
재개업일자 has 23 (100.0%) missing valuesMissing
소재지면적 has 23 (100.0%) missing valuesMissing
업태구분명 has 23 (100.0%) missing valuesMissing
제작취급품목내용 has 23 (100.0%) missing valuesMissing
시설면적 has 23 (100.0%) missing valuesMissing
조명시설조도 has 23 (100.0%) missing valuesMissing
노래방실수 has 23 (100.0%) missing valuesMissing
청소년실수 has 23 (100.0%) missing valuesMissing
비상계단여부 has 23 (100.0%) missing valuesMissing
비상구여부 has 23 (100.0%) missing valuesMissing
자동환기여부 has 23 (100.0%) missing valuesMissing
청소년실여부 has 23 (100.0%) missing valuesMissing
특수조명여부 has 23 (100.0%) missing valuesMissing
방음시설여부 has 23 (100.0%) missing valuesMissing
비디오재생기명 has 23 (100.0%) missing valuesMissing
조명시설유무 has 23 (100.0%) missing valuesMissing
음향시설여부 has 23 (100.0%) missing valuesMissing
편의시설여부 has 23 (100.0%) missing valuesMissing
소방시설여부 has 23 (100.0%) missing valuesMissing
총게임기수 has 23 (100.0%) missing valuesMissing
기존게임업외업종명 has 23 (100.0%) missing valuesMissing
제공게임물명 has 23 (100.0%) missing valuesMissing
품목명 has 23 (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
시설면적 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 started2024-04-29 19:25:37.446451
Analysis finished2024-04-29 19:25:38.094791
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
3200000
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 23
100.0%

Length

2024-04-30T04:25:38.155679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:38.237690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 23
100.0%

관리번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-30T04:25:38.384636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters460
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

Unique23 ?
Unique (%)100.0%

Sample

1st rowCDFF4220001996000002
2nd rowCDFF4220002002000001
3rd rowCDFF4220002002000002
4th rowCDFF4220002004000002
5th rowCDFF4220002004000003
ValueCountFrequency (%)
cdff4220001996000002 1
 
4.3%
cdff4220002006000003 1
 
4.3%
cdff4220002009000007 1
 
4.3%
cdff4220002009000006 1
 
4.3%
cdff4220002009000005 1
 
4.3%
cdff4220002009000004 1
 
4.3%
cdff4220002009000003 1
 
4.3%
cdff4220002009000002 1
 
4.3%
cdff4220002009000001 1
 
4.3%
cdff4220002006000005 1
 
4.3%
Other values (13) 13
56.5%
2024-04-30T04:25:38.687792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 228
49.6%
2 75
 
16.3%
F 46
 
10.0%
4 33
 
7.2%
C 23
 
5.0%
D 23
 
5.0%
9 10
 
2.2%
6 8
 
1.7%
1 4
 
0.9%
3 3
 
0.7%
Other values (3) 7
 
1.5%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 228
62.0%
2 75
 
20.4%
4 33
 
9.0%
9 10
 
2.7%
6 8
 
2.2%
1 4
 
1.1%
3 3
 
0.8%
5 3
 
0.8%
7 2
 
0.5%
8 2
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 46
50.0%
C 23
25.0%
D 23
25.0%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 228
62.0%
2 75
 
20.4%
4 33
 
9.0%
9 10
 
2.7%
6 8
 
2.2%
1 4
 
1.1%
3 3
 
0.8%
5 3
 
0.8%
7 2
 
0.5%
8 2
 
0.5%
Latin
ValueCountFrequency (%)
F 46
50.0%
C 23
25.0%
D 23
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 460
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 228
49.6%
2 75
 
16.3%
F 46
 
10.0%
4 33
 
7.2%
C 23
 
5.0%
D 23
 
5.0%
9 10
 
2.2%
6 8
 
1.7%
1 4
 
0.9%
3 3
 
0.7%
Other values (3) 7
 
1.5%

인허가일자
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
20090225
8 
20040901
7 
20060928
5 
20020124
2 
19960106
1 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row19960106
2nd row20020124
3rd row20020124
4th row20040901
5th row20040901

Common Values

ValueCountFrequency (%)
20090225 8
34.8%
20040901 7
30.4%
20060928 5
21.7%
20020124 2
 
8.7%
19960106 1
 
4.3%

Length

2024-04-30T04:25:38.811237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:38.926947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20090225 8
34.8%
20040901 7
30.4%
20060928 5
21.7%
20020124 2
 
8.7%
19960106 1
 
4.3%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
1
13 
3
10 

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 13
56.5%
3 10
43.5%

Length

2024-04-30T04:25:39.033519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:39.110938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
56.5%
3 10
43.5%

영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
영업/정상
13 
폐업
10 

Length

Max length5
Median length5
Mean length3.6956522
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 13
56.5%
폐업 10
43.5%

Length

2024-04-30T04:25:39.196046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:39.277567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 13
56.5%
폐업 10
43.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
13
13 
3
10 

Length

Max length2
Median length2
Mean length1.5652174
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 13
56.5%
3 10
43.5%

Length

2024-04-30T04:25:39.368935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:39.465837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 13
56.5%
3 10
43.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
영업중
13 
폐업
10 

Length

Max length3
Median length3
Mean length2.5652174
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 13
56.5%
폐업 10
43.5%

Length

2024-04-30T04:25:39.556875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:39.639851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 13
56.5%
폐업 10
43.5%

폐업일자
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
13 
20110916
7 
20040830
3 

Length

Max length8
Median length4
Mean length5.7391304
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20040830
2nd row20040830
3rd row20040830
4th row20110916
5th row20110916

Common Values

ValueCountFrequency (%)
<NA> 13
56.5%
20110916 7
30.4%
20040830 3
 
13.0%

Length

2024-04-30T04:25:39.736973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:39.840107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
56.5%
20110916 7
30.4%
20040830 3
 
13.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
070-7461-8286
8 
6299-7800
7 
070-7465-3811
5 
<NA>
3 

Length

Max length13
Median length13
Mean length10.608696
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row6299-7800
5th row6299-7800

Common Values

ValueCountFrequency (%)
070-7461-8286 8
34.8%
6299-7800 7
30.4%
070-7465-3811 5
21.7%
<NA> 3
 
13.0%

Length

2024-04-30T04:25:39.942432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:40.033236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
070-7461-8286 8
34.8%
6299-7800 7
30.4%
070-7465-3811 5
21.7%
na 3
 
13.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
20 
151836
3 

Length

Max length6
Median length4
Mean length4.2608696
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row151836
2nd row151836
3rd row151836
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 20
87.0%
151836 3
 
13.0%

Length

2024-04-30T04:25:40.130622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:40.213641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
87.0%
151836 3
 
13.0%

지번주소
Categorical

Distinct7
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
서울특별시 관악구 신림동 1641-2 14층
7 
서울특별시 관악구 봉천동 862-1 12층
5 
서울특별시 관악구 봉천동 875-8번지
3 
서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 10,11층
3 
서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 12층
3 
Other values (2)
2 

Length

Max length37
Median length35
Mean length27.304348
Min length22

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row서울특별시 관악구 봉천동 875-8번지
2nd row서울특별시 관악구 봉천동 875-8번지
3rd row서울특별시 관악구 봉천동 875-8번지
4th row서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 8,9층
5th row서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 10,11층

Common Values

ValueCountFrequency (%)
서울특별시 관악구 신림동 1641-2 14층 7
30.4%
서울특별시 관악구 봉천동 862-1 12층 5
21.7%
서울특별시 관악구 봉천동 875-8번지 3
13.0%
서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 10,11층 3
13.0%
서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 12층 3
13.0%
서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 8,9층 1
 
4.3%
서울특별시 관악구 신림동 1641-2 14층 1
 
4.3%

Length

2024-04-30T04:25:40.299874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:40.403785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 23
19.3%
관악구 23
19.3%
신림동 15
12.6%
1641-2 8
 
6.7%
14층 8
 
6.7%
봉천동 8
 
6.7%
12층 8
 
6.7%
1422-5번지 7
 
5.9%
르네상스빌딩 7
 
5.9%
862-1 5
 
4.2%
Other values (3) 7
 
5.9%

도로명주소
Categorical

Distinct6
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Memory size316.0 B
서울특별시 관악구 신림로 330 (신림동,14층)
8 
서울특별시 관악구 남부순환로 1820, 12층 (봉천동, 에그엘로우)
5 
서울특별시 관악구 남부순환로 1796 (봉천동)
3 
서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 10,11층)
3 
서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 12층)
3 

Length

Max length38
Median length36
Mean length32.26087
Min length27

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row서울특별시 관악구 남부순환로 1796 (봉천동)
2nd row서울특별시 관악구 남부순환로 1796 (봉천동)
3rd row서울특별시 관악구 남부순환로 1796 (봉천동)
4th row서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 8,9층)
5th row서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 10,11층)

Common Values

ValueCountFrequency (%)
서울특별시 관악구 신림로 330 (신림동,14층) 8
34.8%
서울특별시 관악구 남부순환로 1820, 12층 (봉천동, 에그엘로우) 5
21.7%
서울특별시 관악구 남부순환로 1796 (봉천동) 3
 
13.0%
서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 10,11층) 3
 
13.0%
서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 12층) 3
 
13.0%
서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 8,9층) 1
 
4.3%

Length

2024-04-30T04:25:40.526670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:40.634373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 23
17.4%
관악구 23
17.4%
신림로 15
11.4%
330 8
 
6.1%
신림동,14층 8
 
6.1%
남부순환로 8
 
6.1%
12층 8
 
6.1%
봉천동 8
 
6.1%
340 7
 
5.3%
신림동,르네상스빌딩 7
 
5.3%
Other values (5) 17
12.9%

도로명우편번호
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
18 
8787
5 

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
78.3%
8787 5
 
21.7%

Length

2024-04-30T04:25:40.761339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:40.840809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
78.3%
8787 5
 
21.7%

사업장명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-30T04:25:40.974056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length13.695652
Min length8

Characters and Unicode

Total characters315
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row티파니시네마2관
2nd row티파니시네마3관
3rd row티파니시네마4관
4th row(주)프리머스시네마 신림지점 2관
5th row(주)프리머스시네마 신림지점 3관
ValueCountFrequency (%)
롯데시네마 13
22.4%
신림 8
13.8%
주)프리머스시네마 7
12.1%
신림지점 7
12.1%
티파니시네마2관 1
 
1.7%
서울대입구제3관 1
 
1.7%
제7관 1
 
1.7%
제4관 1
 
1.7%
제5관 1
 
1.7%
제8관 1
 
1.7%
Other values (17) 17
29.3%
2024-04-30T04:25:41.220851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
11.1%
시 23
 
7.3%
네 23
 
7.3%
마 23
 
7.3%
관 23
 
7.3%
신 15
 
4.8%
림 15
 
4.8%
데 13
 
4.1%
롯 13
 
4.1%
제 12
 
3.8%
Other values (25) 120
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
77.1%
Space Separator 35
 
11.1%
Decimal Number 23
 
7.3%
Open Punctuation 7
 
2.2%
Close Punctuation 7
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 23
 
9.5%
네 23
 
9.5%
마 23
 
9.5%
관 23
 
9.5%
신 15
 
6.2%
림 15
 
6.2%
데 13
 
5.3%
롯 13
 
5.3%
제 12
 
4.9%
프 7
 
2.9%
Other values (14) 76
31.3%
Decimal Number
ValueCountFrequency (%)
4 4
17.4%
3 4
17.4%
2 4
17.4%
5 3
13.0%
8 2
8.7%
7 2
8.7%
6 2
8.7%
1 2
8.7%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
77.1%
Common 72
 
22.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 23
 
9.5%
네 23
 
9.5%
마 23
 
9.5%
관 23
 
9.5%
신 15
 
6.2%
림 15
 
6.2%
데 13
 
5.3%
롯 13
 
5.3%
제 12
 
4.9%
프 7
 
2.9%
Other values (14) 76
31.3%
Common
ValueCountFrequency (%)
35
48.6%
( 7
 
9.7%
) 7
 
9.7%
4 4
 
5.6%
3 4
 
5.6%
2 4
 
5.6%
5 3
 
4.2%
8 2
 
2.8%
7 2
 
2.8%
6 2
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
77.1%
ASCII 72
 
22.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
48.6%
( 7
 
9.7%
) 7
 
9.7%
4 4
 
5.6%
3 4
 
5.6%
2 4
 
5.6%
5 3
 
4.2%
8 2
 
2.8%
7 2
 
2.8%
6 2
 
2.8%
Hangul
ValueCountFrequency (%)
시 23
 
9.5%
네 23
 
9.5%
마 23
 
9.5%
관 23
 
9.5%
신 15
 
6.2%
림 15
 
6.2%
데 13
 
5.3%
롯 13
 
5.3%
제 12
 
4.9%
프 7
 
2.9%
Other values (14) 76
31.3%

최종수정일자
Date

Distinct17
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2004-08-31 09:54:01
Maximum2022-10-04 17:25:24
2024-04-30T04:25:41.315185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:25:41.402900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
U
13 
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 13
56.5%
I 10
43.5%

Length

2024-04-30T04:25:41.505589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:41.581652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 13
56.5%
i 10
43.5%

데이터갱신일자
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
2018-08-31 23:59:59.0
10 
2021-12-19 02:40:00.0
7 
2021-12-03 23:07:00.0
5 
2021-10-31 00:06:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)4.3%

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 10
43.5%
2021-12-19 02:40:00.0 7
30.4%
2021-12-03 23:07:00.0 5
21.7%
2021-10-31 00:06:00.0 1
 
4.3%

Length

2024-04-30T04:25:41.680304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:41.772563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 10
21.7%
23:59:59.0 10
21.7%
2021-12-19 7
15.2%
02:40:00.0 7
15.2%
2021-12-03 5
10.9%
23:07:00.0 5
10.9%
2021-10-31 1
 
2.2%
00:06:00.0 1
 
2.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
193754.427350029
8 
193746.833837509
7 
195703.043681259
5 
195473.034661719
3 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row195473.034661719
2nd row195473.034661719
3rd row195473.034661719
4th row193746.833837509
5th row193746.833837509

Common Values

ValueCountFrequency (%)
193754.427350029 8
34.8%
193746.833837509 7
30.4%
195703.043681259 5
21.7%
195473.034661719 3
 
13.0%

Length

2024-04-30T04:25:41.877540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:41.957659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
193754.427350029 8
34.8%
193746.833837509 7
30.4%
195703.043681259 5
21.7%
195473.034661719 3
 
13.0%

좌표정보(Y)
Categorical

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
442407.201247108
8 
442510.775085572
7 
442094.085759338
5 
442123.517997162
3 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row442123.517997162
2nd row442123.517997162
3rd row442123.517997162
4th row442510.775085572
5th row442510.775085572

Common Values

ValueCountFrequency (%)
442407.201247108 8
34.8%
442510.775085572 7
30.4%
442094.085759338 5
21.7%
442123.517997162 3
 
13.0%

Length

2024-04-30T04:25:42.054589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:42.147772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
442407.201247108 8
34.8%
442510.775085572 7
30.4%
442094.085759338 5
21.7%
442123.517997162 3
 
13.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
영화상영관
17 
<NA>
6 

Length

Max length5
Median length5
Mean length4.7391304
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 17
73.9%
<NA> 6
 
26.1%

Length

2024-04-30T04:25:42.247969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:42.335877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 17
73.9%
na 6
 
26.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
13 
영화상영관
10 

Length

Max length5
Median length4
Mean length4.4347826
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 13
56.5%
영화상영관 10
43.5%

Length

2024-04-30T04:25:42.452907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:42.541958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 13
56.5%
영화상영관 10
43.5%

총층수
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
9 
22
7 
23
7 

Length

Max length4
Median length2
Mean length2.7826087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row22
5th row22

Common Values

ValueCountFrequency (%)
<NA> 9
39.1%
22 7
30.4%
23 7
30.4%

Length

2024-04-30T04:25:42.636862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:42.827029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9
39.1%
22 7
30.4%
23 7
30.4%

주변환경명
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
9 
학교정화(상대)
7 
기타
7 

Length

Max length8
Median length4
Mean length4.6086957
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row학교정화(상대)
5th row학교정화(상대)

Common Values

ValueCountFrequency (%)
<NA> 9
39.1%
학교정화(상대) 7
30.4%
기타 7
30.4%

Length

2024-04-30T04:25:43.145892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:43.418241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9
39.1%
학교정화(상대 7
30.4%
기타 7
30.4%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지상층수
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
15
14 
<NA>
9 

Length

Max length4
Median length2
Mean length2.7826087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row15
5th row15

Common Values

ValueCountFrequency (%)
15 14
60.9%
<NA> 9
39.1%

Length

2024-04-30T04:25:44.014388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:44.182917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15 14
60.9%
na 9
39.1%

지하층수
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
9 
7
7 
8
7 

Length

Max length4
Median length1
Mean length2.173913
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9
39.1%
7 7
30.4%
8 7
30.4%

Length

2024-04-30T04:25:44.344282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:44.541753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9
39.1%
7 7
30.4%
8 7
30.4%

건물용도명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
문화시설
14 
<NA>
9 

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 row문화시설
5th row문화시설

Common Values

ValueCountFrequency (%)
문화시설 14
60.9%
<NA> 9
39.1%

Length

2024-04-30T04:25:44.722347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:44.875999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화시설 14
60.9%
na 9
39.1%

통로너비
Categorical

Distinct3
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
<NA>
9 
1.0
9 
1.05
5 

Length

Max length4
Median length4
Mean length3.6086957
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row1.05
5th row1.0

Common Values

ValueCountFrequency (%)
<NA> 9
39.1%
1.0 9
39.1%
1.05 5
21.7%

Length

2024-04-30T04:25:45.070445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:45.247131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9
39.1%
1.0 9
39.1%
1.05 5
21.7%

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

공연장형태구분명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
영화관
17 
<NA>
6 

Length

Max length4
Median length3
Mean length3.2608696
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 17
73.9%
<NA> 6
 
26.1%

Length

2024-04-30T04:25:45.424738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:45.578675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 17
73.9%
na 6
 
26.1%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

최초등록시점
Categorical

Distinct5
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
20040901
7 
20090225
7 
<NA>
6 
20020124
2 
19960106
1 

Length

Max length8
Median length8
Mean length6.9565217
Min length4

Unique

Unique1 ?
Unique (%)4.3%

Sample

1st row19960106
2nd row20020124
3rd row20020124
4th row20040901
5th row20040901

Common Values

ValueCountFrequency (%)
20040901 7
30.4%
20090225 7
30.4%
<NA> 6
26.1%
20020124 2
 
8.7%
19960106 1
 
4.3%

Length

2024-04-30T04:25:45.789360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:46.000104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20040901 7
30.4%
20090225 7
30.4%
na 6
26.1%
20020124 2
 
8.7%
19960106 1
 
4.3%

지역구분명
Categorical

Distinct2
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
일반상업지역
14 
<NA>
9 

Length

Max length6
Median length6
Mean length5.2173913
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반상업지역 14
60.9%
<NA> 9
39.1%

Length

2024-04-30T04:25:46.120188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:46.231133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반상업지역 14
60.9%
na 9
39.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03200000CDFF422000199600000219960106<NA>3폐업3폐업20040830<NA><NA><NA><NA><NA>151836서울특별시 관악구 봉천동 875-8번지서울특별시 관악구 남부순환로 1796 (봉천동)<NA>티파니시네마2관2004-08-31 09:54:01I2018-08-31 23:59:59.0<NA>195473.034662442123.517997영화상영관영화상영관<NA><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>19960106<NA>
13200000CDFF422000200200000120020124<NA>3폐업3폐업20040830<NA><NA><NA><NA><NA>151836서울특별시 관악구 봉천동 875-8번지서울특별시 관악구 남부순환로 1796 (봉천동)<NA>티파니시네마3관2004-08-31 09:54:33I2018-08-31 23:59:59.0<NA>195473.034662442123.517997영화상영관영화상영관<NA><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>20020124<NA>
23200000CDFF422000200200000220020124<NA>3폐업3폐업20040830<NA><NA><NA><NA><NA>151836서울특별시 관악구 봉천동 875-8번지서울특별시 관악구 남부순환로 1796 (봉천동)<NA>티파니시네마4관2004-08-31 09:54:58I2018-08-31 23:59:59.0<NA>195473.034662442123.517997영화상영관영화상영관<NA><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>20020124<NA>
33200000CDFF422000200400000220040901<NA>3폐업3폐업20110916<NA><NA><NA>6299-7800<NA><NA>서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 8,9층서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 8,9층)<NA>(주)프리머스시네마 신림지점 2관2011-09-16 11:12:47I2018-08-31 23:59:59.0<NA>193746.833838442510.775086영화상영관영화상영관22학교정화(상대)<NA><NA>157문화시설1.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20040901일반상업지역
43200000CDFF422000200400000320040901<NA>3폐업3폐업20110916<NA><NA><NA>6299-7800<NA><NA>서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 10,11층서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 10,11층)<NA>(주)프리머스시네마 신림지점 3관2011-09-16 11:13:48I2018-08-31 23:59:59.0<NA>193746.833838442510.775086영화상영관영화상영관22학교정화(상대)<NA><NA>157문화시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20040901일반상업지역
53200000CDFF422000200400000420040901<NA>3폐업3폐업20110916<NA><NA><NA>6299-7800<NA><NA>서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 10,11층서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 10,11층)<NA>(주)프리머스시네마 신림지점 4관2011-09-16 11:14:10I2018-08-31 23:59:59.0<NA>193746.833838442510.775086영화상영관영화상영관22학교정화(상대)<NA><NA>157문화시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20040901일반상업지역
63200000CDFF422000200400000520040901<NA>3폐업3폐업20110916<NA><NA><NA>6299-7800<NA><NA>서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 10,11층서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 10,11층)<NA>(주)프리머스시네마 신림지점 5관2011-09-16 11:14:39I2018-08-31 23:59:59.0<NA>193746.833838442510.775086영화상영관영화상영관22학교정화(상대)<NA><NA>157문화시설1.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20040901일반상업지역
73200000CDFF422000200400000620040901<NA>3폐업3폐업20110916<NA><NA><NA>6299-7800<NA><NA>서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 12층서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 12층)<NA>(주)프리머스시네마 신림지점 6관2011-09-16 11:15:13I2018-08-31 23:59:59.0<NA>193746.833838442510.775086영화상영관영화상영관22학교정화(상대)<NA><NA>157문화시설1.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20040901일반상업지역
83200000CDFF422000200400000720040901<NA>3폐업3폐업20110916<NA><NA><NA>6299-7800<NA><NA>서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 12층서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 12층)<NA>(주)프리머스시네마 신림지점 7관2011-09-16 11:16:37I2018-08-31 23:59:59.0<NA>193746.833838442510.775086영화상영관영화상영관22학교정화(상대)<NA><NA>157문화시설1.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20040901일반상업지역
93200000CDFF422000200400000820040901<NA>3폐업3폐업20110916<NA><NA><NA>6299-7800<NA><NA>서울특별시 관악구 신림동 1422-5번지 르네상스빌딩 12층서울특별시 관악구 신림로 340 (신림동,르네상스빌딩 12층)<NA>(주)프리머스시네마 신림지점 8관2011-09-16 11:16:20I2018-08-31 23:59:59.0<NA>193746.833838442510.775086영화상영관영화상영관22학교정화(상대)<NA><NA>157문화시설1.05<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20040901일반상업지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
133200000CDFF422000200600000420060928<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7465-3811<NA><NA>서울특별시 관악구 봉천동 862-1 12층서울특별시 관악구 남부순환로 1820, 12층 (봉천동, 에그엘로우)8787롯데시네마 서울대입구제4관2022-04-15 10:58:47U2021-12-03 23:07:00.0<NA>195703.043681442094.085759<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
143200000CDFF422000200600000520060928<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7465-3811<NA><NA>서울특별시 관악구 봉천동 862-1 12층서울특별시 관악구 남부순환로 1820, 12층 (봉천동, 에그엘로우)8787롯데시네마 서울대입구제5관2022-04-15 10:58:59U2021-12-03 23:07:00.0<NA>195703.043681442094.085759<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
153200000CDFF422000200900000120090225<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7461-8286<NA><NA>서울특별시 관악구 신림동 1641-2 14층서울특별시 관악구 신림로 330 (신림동,14층)<NA>롯데시네마 신림 제6관2022-04-15 11:16:08U2021-12-03 23:07:00.0<NA>193754.42735442407.201247<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163200000CDFF422000200900000220090225<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7461-8286<NA><NA>서울특별시 관악구 신림동 1641-2 14층서울특별시 관악구 신림로 330 (신림동,14층)<NA>롯데시네마 신림 제2관2021-12-17 19:09:05U2021-12-19 02:40:00.0<NA>193754.42735442407.201247영화상영관<NA>23기타<NA><NA>158문화시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20090225일반상업지역
173200000CDFF422000200900000320090225<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7461-8286<NA><NA>서울특별시 관악구 신림동 1641-2 14층서울특별시 관악구 신림로 330 (신림동,14층)<NA>롯데시네마 신림 제1관2021-12-17 19:09:05U2021-12-19 02:40:00.0<NA>193754.42735442407.201247영화상영관<NA>23기타<NA><NA>158문화시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20090225일반상업지역
183200000CDFF422000200900000420090225<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7461-8286<NA><NA>서울특별시 관악구 신림동 1641-2 14층서울특별시 관악구 신림로 330 (신림동,14층)<NA>롯데시네마 신림 제8관2021-12-17 19:09:05U2021-12-19 02:40:00.0<NA>193754.42735442407.201247영화상영관<NA>23기타<NA><NA>158문화시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20090225일반상업지역
193200000CDFF422000200900000520090225<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7461-8286<NA><NA>서울특별시 관악구 신림동 1641-2 14층서울특별시 관악구 신림로 330 (신림동,14층)<NA>롯데시네마 신림 제5관2021-12-17 19:09:05U2021-12-19 02:40:00.0<NA>193754.42735442407.201247영화상영관<NA>23기타<NA><NA>158문화시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20090225일반상업지역
203200000CDFF422000200900000620090225<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7461-8286<NA><NA>서울특별시 관악구 신림동 1641-2 14층서울특별시 관악구 신림로 330 (신림동,14층)<NA>롯데시네마 신림 제4관2021-12-17 19:09:05U2021-12-19 02:40:00.0<NA>193754.42735442407.201247영화상영관<NA>23기타<NA><NA>158문화시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20090225일반상업지역
213200000CDFF422000200900000720090225<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7461-8286<NA><NA>서울특별시 관악구 신림동 1641-2 14층서울특별시 관악구 신림로 330 (신림동,14층)<NA>롯데시네마 신림 제7관2021-12-17 19:09:05U2021-12-19 02:40:00.0<NA>193754.42735442407.201247영화상영관<NA>23기타<NA><NA>158문화시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20090225일반상업지역
223200000CDFF422000200900000820090225<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7461-8286<NA><NA>서울특별시 관악구 신림동 1641-2 14층서울특별시 관악구 신림로 330 (신림동,14층)<NA>롯데시네마 신림 제3관2021-12-17 19:09:05U2021-12-19 02:40:00.0<NA>193754.42735442407.201247영화상영관<NA>23기타<NA><NA>158문화시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20090225일반상업지역