Overview

Dataset statistics

Number of variables56
Number of observations64
Missing cells1618
Missing cells (%)45.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.6 KiB
Average record size in memory489.1 B

Variable types

Categorical22
Text3
Unsupported21
Numeric9
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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17653/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
인허가취소일자 has 64 (100.0%) missing valuesMissing
폐업일자 has 56 (87.5%) missing valuesMissing
휴업시작일자 has 64 (100.0%) missing valuesMissing
휴업종료일자 has 64 (100.0%) missing valuesMissing
재개업일자 has 64 (100.0%) missing valuesMissing
소재지면적 has 64 (100.0%) missing valuesMissing
소재지우편번호 has 49 (76.6%) missing valuesMissing
도로명우편번호 has 36 (56.2%) missing valuesMissing
업태구분명 has 64 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.6%) missing valuesMissing
좌표정보(Y) has 1 (1.6%) missing valuesMissing
총층수 has 17 (26.6%) missing valuesMissing
주변환경명 has 63 (98.4%) missing valuesMissing
제작취급품목내용 has 64 (100.0%) missing valuesMissing
지상층수 has 17 (26.6%) missing valuesMissing
지하층수 has 17 (26.6%) missing valuesMissing
비상계단여부 has 64 (100.0%) missing valuesMissing
비상구여부 has 64 (100.0%) missing valuesMissing
자동환기여부 has 64 (100.0%) missing valuesMissing
청소년실여부 has 64 (100.0%) missing valuesMissing
특수조명여부 has 64 (100.0%) missing valuesMissing
방음시설여부 has 64 (100.0%) missing valuesMissing
비디오재생기명 has 64 (100.0%) missing valuesMissing
조명시설유무 has 64 (100.0%) missing valuesMissing
음향시설여부 has 64 (100.0%) missing valuesMissing
편의시설여부 has 64 (100.0%) missing valuesMissing
소방시설여부 has 64 (100.0%) missing valuesMissing
기존게임업외업종명 has 64 (100.0%) missing valuesMissing
제공게임물명 has 64 (100.0%) missing valuesMissing
품목명 has 64 (100.0%) missing valuesMissing
최초등록시점 has 17 (26.6%) 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
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
총층수 has 30 (46.9%) zerosZeros
지상층수 has 16 (25.0%) zerosZeros
지하층수 has 20 (31.2%) zerosZeros

Reproduction

Analysis started2024-05-11 03:27:11.519574
Analysis finished2024-05-11 03:27:12.660725
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
3010000
64 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 64
100.0%

Length

2024-05-11T03:27:12.854234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:13.184316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 64
100.0%

관리번호
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T03:27:13.736999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1280
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

Unique64 ?
Unique (%)100.0%

Sample

1st rowCDFF4220002001000001
2nd rowCDFF4220002001000002
3rd rowCDFF4220002001000003
4th rowCDFF4220002001000004
5th rowCDFF4220002001000005
ValueCountFrequency (%)
cdff4220002001000001 1
 
1.6%
cdff4220002001000002 1
 
1.6%
cdff4220002008000004 1
 
1.6%
cdff4220002005000012 1
 
1.6%
cdff4220002006000001 1
 
1.6%
cdff4220002006000002 1
 
1.6%
cdff4220002006000003 1
 
1.6%
cdff4220002006000004 1
 
1.6%
cdff4220002006000005 1
 
1.6%
cdff4220002006000006 1
 
1.6%
Other values (54) 54
84.4%
2024-05-11T03:27:14.890655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 624
48.8%
2 206
 
16.1%
F 128
 
10.0%
4 71
 
5.5%
C 64
 
5.0%
D 64
 
5.0%
1 45
 
3.5%
3 18
 
1.4%
5 18
 
1.4%
6 14
 
1.1%
Other values (3) 28
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1024
80.0%
Uppercase Letter 256
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 624
60.9%
2 206
 
20.1%
4 71
 
6.9%
1 45
 
4.4%
3 18
 
1.8%
5 18
 
1.8%
6 14
 
1.4%
7 12
 
1.2%
8 12
 
1.2%
9 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 128
50.0%
C 64
25.0%
D 64
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1024
80.0%
Latin 256
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 624
60.9%
2 206
 
20.1%
4 71
 
6.9%
1 45
 
4.4%
3 18
 
1.8%
5 18
 
1.8%
6 14
 
1.4%
7 12
 
1.2%
8 12
 
1.2%
9 4
 
0.4%
Latin
ValueCountFrequency (%)
F 128
50.0%
C 64
25.0%
D 64
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 624
48.8%
2 206
 
16.1%
F 128
 
10.0%
4 71
 
5.5%
C 64
 
5.0%
D 64
 
5.0%
1 45
 
3.5%
3 18
 
1.4%
5 18
 
1.4%
6 14
 
1.1%
Other values (3) 28
 
2.2%

인허가일자
Categorical

Distinct18
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
20030520
9 
20011212
8 
2008-09-10
8 
20060406
8 
20171219
6 
Other values (13)
25 

Length

Max length10
Median length8
Mean length8.40625
Min length8

Unique

Unique9 ?
Unique (%)14.1%

Sample

1st row20011224
2nd row20011224
3rd row20011224
4th row20011224
5th row20011212

Common Values

ValueCountFrequency (%)
20030520 9
14.1%
20011212 8
12.5%
2008-09-10 8
12.5%
20060406 8
12.5%
20171219 6
9.4%
2005-03-22 5
7.8%
20051222 5
7.8%
20011224 4
6.2%
20120723 2
 
3.1%
20071218 1
 
1.6%
Other values (8) 8
12.5%

Length

2024-05-11T03:27:15.522971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20030520 9
14.1%
2008-09-10 8
12.5%
20060406 8
12.5%
20011212 8
12.5%
20171219 6
9.4%
2005-03-22 5
7.8%
20051222 5
7.8%
20011224 4
6.2%
20120723 2
 
3.1%
20090211 1
 
1.6%
Other values (8) 8
12.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
1
56 
3
8 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 56
87.5%
3 8
 
12.5%

Length

2024-05-11T03:27:15.917985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:16.222905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 56
87.5%
3 8
 
12.5%

영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
영업/정상
56 
폐업
8 

Length

Max length5
Median length5
Mean length4.625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 56
87.5%
폐업 8
 
12.5%

Length

2024-05-11T03:27:16.578005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:16.925104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 56
87.5%
폐업 8
 
12.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
13
56 
3
8 

Length

Max length2
Median length2
Mean length1.875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 56
87.5%
3 8
 
12.5%

Length

2024-05-11T03:27:17.322948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:17.617921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 56
87.5%
3 8
 
12.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
영업중
56 
폐업
8 

Length

Max length3
Median length3
Mean length2.875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 56
87.5%
폐업 8
 
12.5%

Length

2024-05-11T03:27:17.939867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:18.283379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 56
87.5%
폐업 8
 
12.5%

폐업일자
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing56
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean20157084
Minimum20091021
Maximum20211231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T03:27:18.769438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20091021
5-th percentile20094350
Q120100970
median20175468
Q320200916
95-th percentile20207621
Maximum20211231
Range120210
Interquartile range (IQR)99945.5

Descriptive statistics

Standard deviation50993.831
Coefficient of variation (CV)0.0025298219
Kurtosis-2.0903997
Mean20157084
Median Absolute Deviation (MAD)30605
Skewness-0.43338395
Sum1.6125667 × 108
Variance2.6003708 × 109
MonotonicityNot monotonic
2024-05-11T03:27:19.290520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20200916 2
 
3.1%
20101117 1
 
1.6%
20100531 1
 
1.6%
20091021 1
 
1.6%
20180824 1
 
1.6%
20170113 1
 
1.6%
20211231 1
 
1.6%
(Missing) 56
87.5%
ValueCountFrequency (%)
20091021 1
1.6%
20100531 1
1.6%
20101117 1
1.6%
20170113 1
1.6%
20180824 1
1.6%
20200916 2
3.1%
20211231 1
1.6%
ValueCountFrequency (%)
20211231 1
1.6%
20200916 2
3.1%
20180824 1
1.6%
20170113 1
1.6%
20101117 1
1.6%
20100531 1
1.6%
20091021 1
1.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

전화번호
Categorical

Distinct22
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
13 
3393-3500
10 
02-2270-0602
8 
02-2136-3500
6 
2118-5443
5 
Other values (17)
22 

Length

Max length13
Median length12
Mean length8.796875
Min length3

Unique

Unique14 ?
Unique (%)21.9%

Sample

1st row3783-5541
2nd row3783-5541
3rd row3783-5541
4th row3783-5541
5th row3396-3500

Common Values

ValueCountFrequency (%)
<NA> 13
20.3%
3393-3500 10
15.6%
02-2270-0602 8
12.5%
02-2136-3500 6
9.4%
2118-5443 5
 
7.8%
3783-5541 4
 
6.2%
2274-2121 2
 
3.1%
070-7465-3672 2
 
3.1%
2079-0301 1
 
1.6%
2236-2024 1
 
1.6%
Other values (12) 12
18.8%

Length

2024-05-11T03:27:19.757275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 13
20.3%
3393-3500 10
15.6%
02-2270-0602 8
12.5%
02-2136-3500 6
9.4%
2118-5443 5
 
7.8%
3783-5541 4
 
6.2%
2274-2121 2
 
3.1%
070-7465-3672 2
 
3.1%
02 1
 
1.6%
2004-8014 1
 
1.6%
Other values (12) 12
18.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)46.7%
Missing49
Missing (%)76.6%
Infinite0
Infinite (%)0.0%
Mean100352.47
Minimum100011
Maximum100862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T03:27:20.534154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100011
5-th percentile100011
Q1100011
median100300
Q3100853
95-th percentile100861.3
Maximum100862
Range851
Interquartile range (IQR)842

Descriptive statistics

Standard deviation386.29354
Coefficient of variation (CV)0.0038493676
Kurtosis-1.7014826
Mean100352.47
Median Absolute Deviation (MAD)289
Skewness0.53415209
Sum1505287
Variance149222.7
MonotonicityNot monotonic
2024-05-11T03:27:21.066219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
100011 6
 
9.4%
100300 3
 
4.7%
100861 2
 
3.1%
100862 1
 
1.6%
100856 1
 
1.6%
100031 1
 
1.6%
100850 1
 
1.6%
(Missing) 49
76.6%
ValueCountFrequency (%)
100011 6
9.4%
100031 1
 
1.6%
100300 3
4.7%
100850 1
 
1.6%
100856 1
 
1.6%
100861 2
 
3.1%
100862 1
 
1.6%
ValueCountFrequency (%)
100862 1
 
1.6%
100861 2
 
3.1%
100856 1
 
1.6%
100850 1
 
1.6%
100300 3
4.7%
100031 1
 
1.6%
100011 6
9.4%

지번주소
Categorical

Distinct26
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
서울특별시 중구 충무로4가 125-18
8 
서울특별시 중구 을지로6가 18-21 굿모닝시티
8 
서울특별시 중구 을지로6가 17-2 현대시티타워
6 
서울특별시 중구 남대문로2가 130
5 
서울특별시 중구 충무로1가 24-23번지 캣츠빌딩
5 
Other values (21)
32 

Length

Max length34
Median length28
Mean length23.203125
Min length17

Unique

Unique15 ?
Unique (%)23.4%

Sample

1st row서울특별시 중구 명동2가 83-5 아바타빌딩 8층
2nd row서울특별시 중구 명동2가 83-5 아바타빌딩 8층
3rd row서울특별시 중구 명동2가 83-5 아바타빌딩 8층
4th row서울특별시 중구 명동2가 83-5 아바타빌딩 8층
5th row서울특별시 중구 충무로4가 125-18

Common Values

ValueCountFrequency (%)
서울특별시 중구 충무로4가 125-18 8
12.5%
서울특별시 중구 을지로6가 18-21 굿모닝시티 8
12.5%
서울특별시 중구 을지로6가 17-2 현대시티타워 6
 
9.4%
서울특별시 중구 남대문로2가 130 5
 
7.8%
서울특별시 중구 충무로1가 24-23번지 캣츠빌딩 5
 
7.8%
서울특별시 중구 명동2가 83-5 아바타빌딩 8층 4
 
6.2%
서울특별시 중구 충무로2가 65-9 3
 
4.7%
서울특별시 중구 충무로2가 65-9 3
 
4.7%
서울특별시 중구 필동2가 19-1 3
 
4.7%
서울특별시 중구 황학동 2545 2
 
3.1%
Other values (16) 17
26.6%

Length

2024-05-11T03:27:21.848470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 64
22.1%
중구 64
22.1%
을지로6가 15
 
5.2%
충무로4가 9
 
3.1%
충무로2가 8
 
2.8%
125-18 8
 
2.8%
18-21 8
 
2.8%
굿모닝시티 8
 
2.8%
17-2 6
 
2.1%
현대시티타워 6
 
2.1%
Other values (44) 94
32.4%

도로명주소
Categorical

Distinct25
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
서울특별시 중구 장충단로 247 (을지로6가,굿모닝시티)
8 
서울특별시 중구 퇴계로 212 (충무로4가)
8 
서울특별시 중구 퇴계로 123 (충무로2가)
6 
서울특별시 중구 장충단로13길 20, 현대시티타워 10층 (을지로6가)
6 
서울특별시 중구 명동8나길 15 (충무로1가,캣츠빌딩)
5 
Other values (20)
31 

Length

Max length40
Median length39
Mean length29.03125
Min length4

Unique

Unique15 ?
Unique (%)23.4%

Sample

1st row서울특별시 중구 명동길 14 (명동2가,아바타빌딩 8층)
2nd row서울특별시 중구 명동길 14 (명동2가,아바타빌딩 8층)
3rd row서울특별시 중구 명동길 14 (명동2가,아바타빌딩 8층)
4th row서울특별시 중구 명동길 14 (명동2가,아바타빌딩 8층)
5th row서울특별시 중구 퇴계로 212 (충무로4가)

Common Values

ValueCountFrequency (%)
서울특별시 중구 장충단로 247 (을지로6가,굿모닝시티) 8
12.5%
서울특별시 중구 퇴계로 212 (충무로4가) 8
12.5%
서울특별시 중구 퇴계로 123 (충무로2가) 6
 
9.4%
서울특별시 중구 장충단로13길 20, 현대시티타워 10층 (을지로6가) 6
 
9.4%
서울특별시 중구 명동8나길 15 (충무로1가,캣츠빌딩) 5
 
7.8%
서울특별시 중구 남대문로 73, 6~7층 (남대문로2가, AVENUEL) 5
 
7.8%
서울특별시 중구 명동길 14 (명동2가,아바타빌딩 8층) 4
 
6.2%
서울특별시 중구 퇴계로 212 (필동2가) 3
 
4.7%
서울특별시 중구 청계천로 400 (황학동) 2
 
3.1%
서울특별시 중구 퇴계로 123 (충무로2가) 2
 
3.1%
Other values (15) 15
23.4%

Length

2024-05-11T03:27:22.450478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 63
18.1%
중구 63
18.1%
퇴계로 20
 
5.7%
212 11
 
3.2%
장충단로 9
 
2.6%
충무로4가 9
 
2.6%
을지로6가,굿모닝시티 8
 
2.3%
123 8
 
2.3%
충무로2가 8
 
2.3%
247 8
 
2.3%
Other values (56) 142
40.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)35.7%
Missing36
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean4554.6786
Minimum4516
Maximum4625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T03:27:23.008368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4516
5-th percentile4518.35
Q14533
median4557
Q34563
95-th percentile4606.45
Maximum4625
Range109
Interquartile range (IQR)30

Descriptive statistics

Standard deviation25.671794
Coefficient of variation (CV)0.0056363569
Kurtosis2.6021644
Mean4554.6786
Median Absolute Deviation (MAD)7
Skewness1.1768149
Sum127531
Variance659.04101
MonotonicityNot monotonic
2024-05-11T03:27:23.422981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
4557 8
 
12.5%
4563 6
 
9.4%
4533 5
 
7.8%
4625 2
 
3.1%
4572 2
 
3.1%
4536 1
 
1.6%
4519 1
 
1.6%
4516 1
 
1.6%
4549 1
 
1.6%
4518 1
 
1.6%
(Missing) 36
56.2%
ValueCountFrequency (%)
4516 1
 
1.6%
4518 1
 
1.6%
4519 1
 
1.6%
4533 5
7.8%
4536 1
 
1.6%
4549 1
 
1.6%
4557 8
12.5%
4563 6
9.4%
4572 2
 
3.1%
4625 2
 
3.1%
ValueCountFrequency (%)
4625 2
 
3.1%
4572 2
 
3.1%
4563 6
9.4%
4557 8
12.5%
4549 1
 
1.6%
4536 1
 
1.6%
4533 5
7.8%
4519 1
 
1.6%
4518 1
 
1.6%
4516 1
 
1.6%

사업장명
Text

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size644.0 B
2024-05-11T03:27:23.997948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length11.8125
Min length3

Characters and Unicode

Total characters756
Distinct characters92
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)96.9%

Sample

1st rowCGV 명동 2관
2nd rowCGV 명동 3관
3rd rowCGV 명동 4관
4th rowCGV 명동 5관
5th row대한극장(2관)
ValueCountFrequency (%)
cgv 13
 
9.7%
동대문지점 8
 
6.0%
주)지원엠엠시네마 8
 
6.0%
롯데시네마 7
 
5.2%
동대문 6
 
4.5%
명동 5
 
3.7%
씨네라이브러리 5
 
3.7%
에비뉴엘 5
 
3.7%
5관 4
 
3.0%
2관 4
 
3.0%
Other values (56) 69
51.5%
2024-05-11T03:27:25.244030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
9.3%
관 53
 
7.0%
동 33
 
4.4%
네 30
 
4.0%
) 28
 
3.7%
( 28
 
3.7%
대 25
 
3.3%
시 25
 
3.3%
마 24
 
3.2%
C 21
 
2.8%
Other values (82) 419
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
63.5%
Uppercase Letter 75
 
9.9%
Space Separator 70
 
9.3%
Decimal Number 57
 
7.5%
Close Punctuation 28
 
3.7%
Open Punctuation 28
 
3.7%
Math Symbol 12
 
1.6%
Other Punctuation 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 53
 
11.0%
동 33
 
6.9%
네 30
 
6.2%
대 25
 
5.2%
시 25
 
5.2%
마 24
 
5.0%
명 19
 
4.0%
엠 18
 
3.8%
지 17
 
3.5%
극 17
 
3.5%
Other values (54) 219
45.6%
Uppercase Letter
ValueCountFrequency (%)
C 21
28.0%
G 16
21.3%
V 16
21.3%
Q 5
 
6.7%
N 5
 
6.7%
T 3
 
4.0%
A 2
 
2.7%
R 2
 
2.7%
E 2
 
2.7%
X 1
 
1.3%
Other values (2) 2
 
2.7%
Decimal Number
ValueCountFrequency (%)
1 12
21.1%
2 10
17.5%
5 9
15.8%
3 8
14.0%
4 8
14.0%
6 4
 
7.0%
8 2
 
3.5%
7 2
 
3.5%
9 1
 
1.8%
0 1
 
1.8%
Math Symbol
ValueCountFrequency (%)
> 6
50.0%
< 6
50.0%
Space Separator
ValueCountFrequency (%)
70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
63.5%
Common 201
26.6%
Latin 75
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 53
 
11.0%
동 33
 
6.9%
네 30
 
6.2%
대 25
 
5.2%
시 25
 
5.2%
마 24
 
5.0%
명 19
 
4.0%
엠 18
 
3.8%
지 17
 
3.5%
극 17
 
3.5%
Other values (54) 219
45.6%
Common
ValueCountFrequency (%)
70
34.8%
) 28
 
13.9%
( 28
 
13.9%
1 12
 
6.0%
2 10
 
5.0%
5 9
 
4.5%
3 8
 
4.0%
4 8
 
4.0%
> 6
 
3.0%
< 6
 
3.0%
Other values (6) 16
 
8.0%
Latin
ValueCountFrequency (%)
C 21
28.0%
G 16
21.3%
V 16
21.3%
Q 5
 
6.7%
N 5
 
6.7%
T 3
 
4.0%
A 2
 
2.7%
R 2
 
2.7%
E 2
 
2.7%
X 1
 
1.3%
Other values (2) 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
63.5%
ASCII 276
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
25.4%
) 28
 
10.1%
( 28
 
10.1%
C 21
 
7.6%
G 16
 
5.8%
V 16
 
5.8%
1 12
 
4.3%
2 10
 
3.6%
5 9
 
3.3%
3 8
 
2.9%
Other values (18) 58
21.0%
Hangul
ValueCountFrequency (%)
관 53
 
11.0%
동 33
 
6.9%
네 30
 
6.2%
대 25
 
5.2%
시 25
 
5.2%
마 24
 
5.0%
명 19
 
4.0%
엠 18
 
3.8%
지 17
 
3.5%
극 17
 
3.5%
Other values (54) 219
45.6%

최종수정일자
Date

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2003-05-20 18:12:19
Maximum2024-04-22 13:33:41
2024-05-11T03:27:25.745157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:27:26.320083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
U
45 
I
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 45
70.3%
I 19
29.7%

Length

2024-05-11T03:27:26.856926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:27.267799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 45
70.3%
i 19
29.7%

데이터갱신일자
Categorical

Distinct11
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
2018-08-31 23:59:59.0
19 
2021-04-18 02:40:00.0
13 
2021-04-25 02:40:00.0
11 
2023-12-03 22:01:00.0
6 
2022-12-02 22:06:00.0
5 
Other values (6)
10 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique3 ?
Unique (%)4.7%

Sample

1st row2021-04-18 02:40:00.0
2nd row2021-04-18 02:40:00.0
3rd row2021-04-18 02:40:00.0
4th row2021-04-18 02:40:00.0
5th row2021-04-25 02:40:00.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 19
29.7%
2021-04-18 02:40:00.0 13
20.3%
2021-04-25 02:40:00.0 11
17.2%
2023-12-03 22:01:00.0 6
 
9.4%
2022-12-02 22:06:00.0 5
 
7.8%
2021-12-08 22:01:00.0 3
 
4.7%
2023-12-03 22:04:00.0 2
 
3.1%
2020-09-19 02:40:00.0 2
 
3.1%
2018-09-03 23:59:59.0 1
 
1.6%
2022-02-27 02:40:00.0 1
 
1.6%

Length

2024-05-11T03:27:27.762274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02:40:00.0 27
21.1%
23:59:59.0 20
15.6%
2018-08-31 19
14.8%
2021-04-18 13
10.2%
2021-04-25 11
8.6%
22:01:00.0 9
 
7.0%
2023-12-03 8
 
6.2%
2022-12-02 5
 
3.9%
22:06:00.0 5
 
3.9%
2021-12-08 3
 
2.3%
Other values (6) 8
 
6.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)30.2%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean199284.88
Minimum197164.23
Maximum201823.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T03:27:28.393134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197164.23
5-th percentile197331.35
Q1198527.1
median199332.3
Q3200573.64
95-th percentile200613.51
Maximum201823.91
Range4659.6825
Interquartile range (IQR)2046.542

Descriptive statistics

Standard deviation1090.1568
Coefficient of variation (CV)0.0054703437
Kurtosis-0.48032811
Mean199284.88
Median Absolute Deviation (MAD)822.39402
Skewness0.22822796
Sum12554947
Variance1188441.8
MonotonicityNot monotonic
2024-05-11T03:27:28.847817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
198636.2503948 8
12.5%
199532.892103928 8
12.5%
200573.641273539 8
12.5%
200613.510297669 7
10.9%
198527.099319279 6
9.4%
198333.470885484 5
7.8%
198418.741655644 4
 
6.2%
199519.649768304 3
 
4.7%
201823.908977364 2
 
3.1%
197279.328436862 2
 
3.1%
Other values (9) 10
15.6%
ValueCountFrequency (%)
197164.226466038 1
 
1.6%
197243.215346366 1
 
1.6%
197279.328436862 2
 
3.1%
197799.544196134 1
 
1.6%
198333.470885484 5
7.8%
198418.741655644 4
6.2%
198527.099319279 6
9.4%
198636.2503948 8
12.5%
198786.599773 1
 
1.6%
198861.63670413 1
 
1.6%
ValueCountFrequency (%)
201823.908977364 2
 
3.1%
200613.510297669 7
10.9%
200573.641273539 8
12.5%
200154.692915213 1
 
1.6%
199532.892103928 8
12.5%
199519.649768304 3
 
4.7%
199498.592032161 1
 
1.6%
199332.29889394 2
 
3.1%
199267.107878626 1
 
1.6%
198861.63670413 1
 
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)30.2%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean451288.83
Minimum449919.63
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T03:27:29.249438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449919.63
5-th percentile450977.25
Q1451004.64
median451237.17
Q3451621.04
95-th percentile451817.52
Maximum452076.82
Range2157.1909
Interquartile range (IQR)616.39978

Descriptive statistics

Standard deviation396.21183
Coefficient of variation (CV)0.00087795621
Kurtosis0.87234492
Mean451288.83
Median Absolute Deviation (MAD)239.09518
Skewness-0.25983631
Sum28431196
Variance156983.82
MonotonicityNot monotonic
2024-05-11T03:27:29.621668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
451005.721641592 8
12.5%
451004.636686214 8
12.5%
451621.036467544 8
12.5%
451817.515366883 7
10.9%
450998.07341201 6
9.4%
451313.412912492 5
7.8%
451237.168596152 4
 
6.2%
450977.250545081 3
 
4.7%
452076.818664092 2
 
3.1%
451765.426505347 2
 
3.1%
Other values (9) 10
15.6%
ValueCountFrequency (%)
449919.627798891 1
 
1.6%
450655.104239931 1
 
1.6%
450682.154999599 1
 
1.6%
450977.250545081 3
 
4.7%
450998.07341201 6
9.4%
451004.636686214 8
12.5%
451005.721641592 8
12.5%
451071.934979681 1
 
1.6%
451237.168596152 4
6.2%
451313.412912492 5
7.8%
ValueCountFrequency (%)
452076.818664092 2
 
3.1%
451817.515366883 7
10.9%
451775.169253151 1
 
1.6%
451765.426505347 2
 
3.1%
451647.674131454 1
 
1.6%
451621.036467544 8
12.5%
451426.811563 1
 
1.6%
451378.467998728 2
 
3.1%
451366.77906293 1
 
1.6%
451313.412912492 5
7.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
영화상영관
47 
<NA>
17 

Length

Max length5
Median length5
Mean length4.734375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 47
73.4%
<NA> 17
 
26.6%

Length

2024-05-11T03:27:30.027099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:30.402375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 47
73.4%
na 17
 
26.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
35 
영화상영관
29 

Length

Max length5
Median length4
Mean length4.453125
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
54.7%
영화상영관 29
45.3%

Length

2024-05-11T03:27:31.063071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:31.554265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
54.7%
영화상영관 29
45.3%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)14.9%
Missing17
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean4.4468085
Minimum0
Maximum33
Zeros30
Zeros (%)46.9%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T03:27:32.224667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39
95-th percentile17
Maximum33
Range33
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.9449424
Coefficient of variation (CV)1.7866617
Kurtosis5.521056
Mean4.4468085
Median Absolute Deviation (MAD)0
Skewness2.2574277
Sum209
Variance63.122109
MonotonicityNot monotonic
2024-05-11T03:27:32.723206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 30
46.9%
11 6
 
9.4%
9 4
 
6.2%
1 2
 
3.1%
17 2
 
3.1%
33 2
 
3.1%
5 1
 
1.6%
(Missing) 17
26.6%
ValueCountFrequency (%)
0 30
46.9%
1 2
 
3.1%
5 1
 
1.6%
9 4
 
6.2%
11 6
 
9.4%
17 2
 
3.1%
33 2
 
3.1%
ValueCountFrequency (%)
33 2
 
3.1%
17 2
 
3.1%
11 6
 
9.4%
9 4
 
6.2%
5 1
 
1.6%
1 2
 
3.1%
0 30
46.9%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing63
Missing (%)98.4%
Memory size644.0 B
2024-05-11T03:27:33.099006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T03:27:34.103062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

시설면적
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
47 
<NA>
17 

Length

Max length4
Median length1
Mean length1.796875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47
73.4%
<NA> 17
 
26.6%

Length

2024-05-11T03:27:34.596402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:34.899954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
73.4%
na 17
 
26.6%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)21.3%
Missing17
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean8.0425532
Minimum0
Maximum33
Zeros16
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T03:27:35.265965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q39
95-th percentile23
Maximum33
Range33
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.048078
Coefficient of variation (CV)1.1250256
Kurtosis1.0386382
Mean8.0425532
Median Absolute Deviation (MAD)8
Skewness1.2912833
Sum378
Variance81.867715
MonotonicityNot monotonic
2024-05-11T03:27:35.682259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 16
25.0%
8 11
17.2%
23 6
 
9.4%
9 5
 
7.8%
1 2
 
3.1%
11 2
 
3.1%
33 2
 
3.1%
4 1
 
1.6%
6 1
 
1.6%
7 1
 
1.6%
(Missing) 17
26.6%
ValueCountFrequency (%)
0 16
25.0%
1 2
 
3.1%
4 1
 
1.6%
6 1
 
1.6%
7 1
 
1.6%
8 11
17.2%
9 5
 
7.8%
11 2
 
3.1%
23 6
 
9.4%
33 2
 
3.1%
ValueCountFrequency (%)
33 2
 
3.1%
23 6
 
9.4%
11 2
 
3.1%
9 5
 
7.8%
8 11
17.2%
7 1
 
1.6%
6 1
 
1.6%
4 1
 
1.6%
1 2
 
3.1%
0 16
25.0%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)12.8%
Missing17
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean1.6382979
Minimum0
Maximum6
Zeros20
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T03:27:36.098977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1811996
Coefficient of variation (CV)1.3313816
Kurtosis0.16014529
Mean1.6382979
Median Absolute Deviation (MAD)1
Skewness1.2880593
Sum77
Variance4.7576318
MonotonicityNot monotonic
2024-05-11T03:27:36.550894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 20
31.2%
1 12
18.8%
6 8
 
12.5%
2 5
 
7.8%
3 1
 
1.6%
4 1
 
1.6%
(Missing) 17
26.6%
ValueCountFrequency (%)
0 20
31.2%
1 12
18.8%
2 5
 
7.8%
3 1
 
1.6%
4 1
 
1.6%
6 8
 
12.5%
ValueCountFrequency (%)
6 8
 
12.5%
4 1
 
1.6%
3 1
 
1.6%
2 5
 
7.8%
1 12
18.8%
0 20
31.2%

건물용도명
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
39 
근린생활시설
23 
사무실
 
1
문화시설
 
1

Length

Max length6
Median length4
Mean length4.703125
Min length3

Unique

Unique2 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
60.9%
근린생활시설 23
35.9%
사무실 1
 
1.6%
문화시설 1
 
1.6%

Length

2024-05-11T03:27:37.116220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:37.507281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
60.9%
근린생활시설 23
35.9%
사무실 1
 
1.6%
문화시설 1
 
1.6%

통로너비
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
0.0
45 
<NA>
17 
1.0
 
1
1.4
 
1

Length

Max length4
Median length3
Mean length3.265625
Min length3

Unique

Unique2 ?
Unique (%)3.1%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 45
70.3%
<NA> 17
 
26.6%
1.0 1
 
1.6%
1.4 1
 
1.6%

Length

2024-05-11T03:27:38.057642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:38.472099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 45
70.3%
na 17
 
26.6%
1.0 1
 
1.6%
1.4 1
 
1.6%

조명시설조도
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
47 
<NA>
17 

Length

Max length4
Median length1
Mean length1.796875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47
73.4%
<NA> 17
 
26.6%

Length

2024-05-11T03:27:39.024193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:39.491520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
73.4%
na 17
 
26.6%

노래방실수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
47 
<NA>
17 

Length

Max length4
Median length1
Mean length1.796875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47
73.4%
<NA> 17
 
26.6%

Length

2024-05-11T03:27:40.039461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:40.519391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
73.4%
na 17
 
26.6%

청소년실수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
47 
<NA>
17 

Length

Max length4
Median length1
Mean length1.796875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47
73.4%
<NA> 17
 
26.6%

Length

2024-05-11T03:27:40.923927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:41.448829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
73.4%
na 17
 
26.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

총게임기수
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
47 
<NA>
17 

Length

Max length4
Median length1
Mean length1.796875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 47
73.4%
<NA> 17
 
26.6%

Length

2024-05-11T03:27:41.807977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:42.132010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
73.4%
na 17
 
26.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

공연장형태구분명
Categorical

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
영화관
46 
<NA>
17 
자동차극장
 
1

Length

Max length5
Median length3
Mean length3.296875
Min length3

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 46
71.9%
<NA> 17
 
26.6%
자동차극장 1
 
1.6%

Length

2024-05-11T03:27:42.541771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:42.884905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 46
71.9%
na 17
 
26.6%
자동차극장 1
 
1.6%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing64
Missing (%)100.0%
Memory size708.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)31.9%
Missing17
Missing (%)26.6%
Infinite0
Infinite (%)0.0%
Mean20060879
Minimum20011212
Maximum20171219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-05-11T03:27:43.182895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20011212
5-th percentile20011212
Q120020872
median20050823
Q320065966
95-th percentile20171219
Maximum20171219
Range160007
Interquartile range (IQR)45094

Descriptive statistics

Standard deviation53128.464
Coefficient of variation (CV)0.0026483617
Kurtosis0.038255985
Mean20060879
Median Absolute Deviation (MAD)20395
Skewness1.128383
Sum9.4286132 × 108
Variance2.8226337 × 109
MonotonicityNot monotonic
2024-05-11T03:27:43.577802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20030520 9
14.1%
20011212 8
12.5%
20171219 6
 
9.4%
20060406 5
 
7.8%
20051222 5
 
7.8%
20011224 4
 
6.2%
20120723 2
 
3.1%
20040617 1
 
1.6%
20050623 1
 
1.6%
20050823 1
 
1.6%
Other values (5) 5
 
7.8%
(Missing) 17
26.6%
ValueCountFrequency (%)
20011212 8
12.5%
20011224 4
6.2%
20030520 9
14.1%
20040617 1
 
1.6%
20050623 1
 
1.6%
20050823 1
 
1.6%
20051222 5
7.8%
20060406 5
7.8%
20060714 1
 
1.6%
20071218 1
 
1.6%
ValueCountFrequency (%)
20171219 6
9.4%
20130710 1
 
1.6%
20130227 1
 
1.6%
20120723 2
 
3.1%
20090211 1
 
1.6%
20071218 1
 
1.6%
20060714 1
 
1.6%
20060406 5
7.8%
20051222 5
7.8%
20050823 1
 
1.6%

지역구분명
Categorical

Distinct3
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size644.0 B
<NA>
39 
상업지역
24 
일반주거지역
 
1

Length

Max length6
Median length4
Mean length4.03125
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
60.9%
상업지역 24
37.5%
일반주거지역 1
 
1.6%

Length

2024-05-11T03:27:44.000102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:27:44.264617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
60.9%
상업지역 24
37.5%
일반주거지역 1
 
1.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF422000200100000120011224<NA>1영업/정상13영업중<NA><NA><NA><NA>3783-5541<NA><NA>서울특별시 중구 명동2가 83-5 아바타빌딩 8층서울특별시 중구 명동길 14 (명동2가,아바타빌딩 8층)<NA>CGV 명동 2관2021-04-16 20:18:29U2021-04-18 02:40:00.0<NA>198418.741656451237.168596영화상영관영화상영관11<NA><NA>092근린생활시설0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20011224상업지역
13010000CDFF422000200100000220011224<NA>1영업/정상13영업중<NA><NA><NA><NA>3783-5541<NA><NA>서울특별시 중구 명동2가 83-5 아바타빌딩 8층서울특별시 중구 명동길 14 (명동2가,아바타빌딩 8층)<NA>CGV 명동 3관2021-04-16 20:18:45U2021-04-18 02:40:00.0<NA>198418.741656451237.168596영화상영관영화상영관11<NA><NA>092근린생활시설0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20011224상업지역
23010000CDFF422000200100000320011224<NA>1영업/정상13영업중<NA><NA><NA><NA>3783-5541<NA><NA>서울특별시 중구 명동2가 83-5 아바타빌딩 8층서울특별시 중구 명동길 14 (명동2가,아바타빌딩 8층)<NA>CGV 명동 4관2021-04-16 20:19:00U2021-04-18 02:40:00.0<NA>198418.741656451237.168596영화상영관영화상영관11<NA><NA>092근린생활시설0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20011224상업지역
33010000CDFF422000200100000420011224<NA>1영업/정상13영업중<NA><NA><NA><NA>3783-5541<NA><NA>서울특별시 중구 명동2가 83-5 아바타빌딩 8층서울특별시 중구 명동길 14 (명동2가,아바타빌딩 8층)<NA>CGV 명동 5관2021-04-16 20:19:22U2021-04-18 02:40:00.0<NA>198418.741656451237.168596영화상영관영화상영관11<NA><NA>092근린생활시설0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20011224상업지역
43010000CDFF422000200100000520011212<NA>1영업/정상13영업중<NA><NA><NA><NA>3396-3500<NA><NA>서울특별시 중구 충무로4가 125-18서울특별시 중구 퇴계로 212 (충무로4가)4557대한극장(2관)2021-04-23 15:50:43U2021-04-25 02:40:00.0<NA>199532.892104451004.636686영화상영관<NA>0<NA><NA>081근린생활시설0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20011212상업지역
53010000CDFF422000200100000620011212<NA>1영업/정상13영업중<NA><NA><NA><NA>3393-3500<NA><NA>서울특별시 중구 충무로4가 125-18서울특별시 중구 퇴계로 212 (충무로4가)4557대한극장(3관)2021-04-23 15:51:12U2021-04-25 02:40:00.0<NA>199532.892104451004.636686영화상영관<NA>0<NA><NA>081근린생활시설0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20011212상업지역
63010000CDFF422000200100000720011212<NA>1영업/정상13영업중<NA><NA><NA><NA>3393-3500<NA><NA>서울특별시 중구 충무로4가 125-18서울특별시 중구 퇴계로 212 (충무로4가)4557대한극장(5관)2021-04-23 15:51:59U2021-04-25 02:40:00.0<NA>199532.892104451004.636686영화상영관<NA>0<NA><NA>081근린생활시설0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20011212상업지역
73010000CDFF422000200100000820011212<NA>1영업/정상13영업중<NA><NA><NA><NA>3393-3500<NA><NA>서울특별시 중구 충무로4가 125-18서울특별시 중구 퇴계로 212 (충무로4가)4557대한극장(6관)2021-04-23 15:52:17U2021-04-25 02:40:00.0<NA>199532.892104451004.636686영화상영관<NA>0<NA><NA>081근린생활시설0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20011212상업지역
83010000CDFF422000200100000920011212<NA>1영업/정상13영업중<NA><NA><NA><NA>3393-3500<NA><NA>서울특별시 중구 충무로4가 125-18서울특별시 중구 퇴계로 212 (충무로4가)4557대한극장(7관)2021-04-23 15:53:29U2021-04-25 02:40:00.0<NA>199532.892104451004.636686영화상영관<NA>0<NA><NA>081근린생활시설0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20011212상업지역
93010000CDFF422000200100001020011212<NA>1영업/정상13영업중<NA><NA><NA><NA>3393-3500<NA><NA>서울특별시 중구 충무로4가 125-18서울특별시 중구 퇴계로 212 (충무로4가)4557대한극장(8관)2021-04-23 15:53:43U2021-04-25 02:40:00.0<NA>199532.892104451004.636686영화상영관<NA>0<NA><NA>081근린생활시설0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20011212상업지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
543010000CDFF422000201200000220120723<NA>3폐업3폐업20200916<NA><NA><NA>070-7465-3672<NA><NA>서울특별시 중구 황학동 2545서울특별시 중구 청계천로 400 (황학동)4572롯데시네마 황학(제2관)2020-09-17 09:14:57U2020-09-19 02:40:00.0<NA>201823.908977452076.818664영화상영관<NA>33<NA><NA>0330근린생활시설0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20120723상업지역
553010000CDFF422000201300000120130227<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4222-8869<NA><NA>서울특별시 중구 충정로1가 68번지서울특별시 중구 새문안로 22 (충정로1가, 문화일보)4516청춘극장2015-03-26 11:03:39I2018-08-31 23:59:59.0<NA>197164.226466451647.674131영화상영관<NA>17<NA><NA>0116근린생활시설1.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20130227상업지역
563010000CDFF422000201300000220130710<NA>3폐업3폐업20211231<NA><NA><NA>2274-2121<NA><NA>서울특별시 중구 초동 18-5서울특별시 중구 마른내로 47, 6층 (초동, 명보극장)4549주식회사 명보아트홀(명보아트시네마)2022-02-25 09:39:35U2022-02-27 02:40:00.0<NA>199332.298894451378.467999영화상영관<NA>11<NA><NA>074근린생활시설1.4000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20130710상업지역
573010000CDFF422000201700000120171219<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2136-3500<NA><NA>서울특별시 중구 을지로6가 17-2 현대시티타워서울특별시 중구 장충단로13길 20, 현대시티타워 10층 (을지로6가)4563CGV 동대문 제1관2021-04-16 18:41:29U2021-04-18 02:40:00.0<NA>200613.510298451817.515367영화상영관<NA>0<NA><NA>0236<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20171219<NA>
583010000CDFF422000201700000220171219<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2136-3500<NA><NA>서울특별시 중구 을지로6가 17-2 현대시티타워서울특별시 중구 장충단로13길 20, 현대시티타워 10층 (을지로6가)4563CGV 동대문 제2관2021-04-16 19:14:55U2021-04-18 02:40:00.0<NA>200613.510298451817.515367영화상영관<NA>0<NA><NA>0236<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20171219<NA>
593010000CDFF422000201700000320171219<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2136-3500<NA><NA>서울특별시 중구 을지로6가 17-2 현대시티타워서울특별시 중구 장충단로13길 20, 현대시티타워 10층 (을지로6가)4563CGV 동대문 제3관2021-04-16 19:15:26U2021-04-18 02:40:00.0<NA>200613.510298451817.515367영화상영관<NA>0<NA><NA>0236<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20171219<NA>
603010000CDFF422000201700000420171219<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2136-3500<NA><NA>서울특별시 중구 을지로6가 17-2 현대시티타워서울특별시 중구 장충단로13길 20, 현대시티타워 10층 (을지로6가)4563CGV 동대문 제4관2021-04-16 19:15:55U2021-04-18 02:40:00.0<NA>200613.510298451817.515367영화상영관<NA>0<NA><NA>0236<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20171219<NA>
613010000CDFF422000201700000520171219<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2136-3500<NA><NA>서울특별시 중구 을지로6가 17-2 현대시티타워서울특별시 중구 장충단로13길 20, 현대시티타워 10층 (을지로6가)4563CGV 동대문 제5관2021-04-16 19:16:12U2021-04-18 02:40:00.0<NA>200613.510298451817.515367영화상영관<NA>0<NA><NA>0236<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20171219<NA>
623010000CDFF422000201700000620171219<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2136-3500<NA><NA>서울특별시 중구 을지로6가 17-2 현대시티타워서울특별시 중구 장충단로13길 20, 현대시티타워 10층 (을지로6가)4563CGV 동대문 제6관2021-04-16 19:16:28U2021-04-18 02:40:00.0<NA>200613.510298451817.515367영화상영관<NA>0<NA><NA>0236<NA>0.0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20171219<NA>
633010000CDFF422000202200000120220323<NA>1영업/정상13영업중<NA><NA><NA><NA>02-741-9782<NA><NA>서울특별시 중구 정동 22 경향신문사서울특별시 중구 정동길 3, 경향신문사 2층 (정동)4518서울아트시네마2022-04-21 16:38:53U2021-12-03 22:03:00.0<NA>197279.328437451765.426505<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>