Overview

Dataset statistics

Number of variables56
Number of observations54
Missing cells1210
Missing cells (%)40.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.8 KiB
Average record size in memory489.4 B

Variable types

Categorical26
Text2
Unsupported21
DateTime1
Numeric6

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
Author영등포구
URLhttps://data.seoul.go.kr/dataList/OA-17670/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 54 (100.0%) missing valuesMissing
휴업시작일자 has 54 (100.0%) missing valuesMissing
휴업종료일자 has 54 (100.0%) missing valuesMissing
재개업일자 has 54 (100.0%) missing valuesMissing
소재지면적 has 54 (100.0%) missing valuesMissing
업태구분명 has 54 (100.0%) missing valuesMissing
총층수 has 19 (35.2%) missing valuesMissing
제작취급품목내용 has 54 (100.0%) missing valuesMissing
지상층수 has 19 (35.2%) missing valuesMissing
지하층수 has 19 (35.2%) missing valuesMissing
비상계단여부 has 54 (100.0%) missing valuesMissing
비상구여부 has 54 (100.0%) missing valuesMissing
자동환기여부 has 54 (100.0%) missing valuesMissing
청소년실여부 has 54 (100.0%) missing valuesMissing
특수조명여부 has 54 (100.0%) missing valuesMissing
방음시설여부 has 54 (100.0%) missing valuesMissing
비디오재생기명 has 54 (100.0%) missing valuesMissing
조명시설유무 has 54 (100.0%) missing valuesMissing
음향시설여부 has 54 (100.0%) missing valuesMissing
편의시설여부 has 54 (100.0%) missing valuesMissing
소방시설여부 has 54 (100.0%) missing valuesMissing
기존게임업외업종명 has 54 (100.0%) missing valuesMissing
제공게임물명 has 54 (100.0%) missing valuesMissing
품목명 has 54 (100.0%) missing valuesMissing
최초등록시점 has 19 (35.2%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
지하층수 has 2 (3.7%) zerosZeros

Reproduction

Analysis started2024-04-29 19:25:25.726346
Analysis finished2024-04-29 19:25:26.440088
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
3180000
54 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3180000
2nd row3180000
3rd row3180000
4th row3180000
5th row3180000

Common Values

ValueCountFrequency (%)
3180000 54
100.0%

Length

2024-04-30T04:25:26.511696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:26.593813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3180000 54
100.0%

관리번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-30T04:25:26.738480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1080
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

Unique54 ?
Unique (%)100.0%

Sample

1st rowCDFF4220001963000001
2nd rowCDFF4220001969000001
3rd rowCDFF4220001983000001
4th rowCDFF4220001989000001
5th rowCDFF4220001998000001
ValueCountFrequency (%)
cdff4220001963000001 1
 
1.9%
cdff4220002009000007 1
 
1.9%
cdff4220002012000009 1
 
1.9%
cdff4220002007000005 1
 
1.9%
cdff4220002007000006 1
 
1.9%
cdff4220002007000007 1
 
1.9%
cdff4220002007000008 1
 
1.9%
cdff4220002009000001 1
 
1.9%
cdff4220002009000002 1
 
1.9%
cdff4220002009000003 1
 
1.9%
Other values (44) 44
81.5%
2024-04-30T04:25:27.086229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 513
47.5%
2 172
 
15.9%
F 108
 
10.0%
4 60
 
5.6%
C 54
 
5.0%
D 54
 
5.0%
1 37
 
3.4%
9 22
 
2.0%
5 22
 
2.0%
3 12
 
1.1%
Other values (3) 26
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 864
80.0%
Uppercase Letter 216
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 513
59.4%
2 172
 
19.9%
4 60
 
6.9%
1 37
 
4.3%
9 22
 
2.5%
5 22
 
2.5%
3 12
 
1.4%
7 12
 
1.4%
6 7
 
0.8%
8 7
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 108
50.0%
C 54
25.0%
D 54
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 864
80.0%
Latin 216
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 513
59.4%
2 172
 
19.9%
4 60
 
6.9%
1 37
 
4.3%
9 22
 
2.5%
5 22
 
2.5%
3 12
 
1.4%
7 12
 
1.4%
6 7
 
0.8%
8 7
 
0.8%
Latin
ValueCountFrequency (%)
F 108
50.0%
C 54
25.0%
D 54
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 513
47.5%
2 172
 
15.9%
F 108
 
10.0%
4 60
 
5.6%
C 54
 
5.0%
D 54
 
5.0%
1 37
 
3.4%
9 22
 
2.0%
5 22
 
2.0%
3 12
 
1.1%
Other values (3) 26
 
2.4%

인허가일자
Categorical

Distinct14
Distinct (%)25.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
20050909
9 
20090914
9 
20120827
9 
20070927
8 
20050426
7 
Other values (9)
12 

Length

Max length10
Median length8
Mean length8.0740741
Min length8

Unique

Unique8 ?
Unique (%)14.8%

Sample

1st row19630708
2nd row19690726
3rd row19830730
4th row19890807
5th row19980413

Common Values

ValueCountFrequency (%)
20050909 9
16.7%
20090914 9
16.7%
20120827 9
16.7%
20070927 8
14.8%
20050426 7
13.0%
20030605 4
7.4%
19630708 1
 
1.9%
19690726 1
 
1.9%
19830730 1
 
1.9%
19890807 1
 
1.9%
Other values (4) 4
7.4%

Length

2024-04-30T04:25:27.209742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20050909 9
16.7%
20090914 9
16.7%
20120827 9
16.7%
20070927 8
14.8%
20050426 7
13.0%
20030605 4
7.4%
19630708 1
 
1.9%
19690726 1
 
1.9%
19830730 1
 
1.9%
19890807 1
 
1.9%
Other values (4) 4
7.4%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
1
28 
3
26 

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 28
51.9%
3 26
48.1%

Length

2024-04-30T04:25:27.309825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:27.390975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
51.9%
3 26
48.1%

영업상태명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업/정상
28 
폐업
26 

Length

Max length5
Median length5
Mean length3.5555556
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 28
51.9%
폐업 26
48.1%

Length

2024-04-30T04:25:27.476069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:27.559068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 28
51.9%
폐업 26
48.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
13
28 
3
26 

Length

Max length2
Median length2
Mean length1.5185185
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 28
51.9%
3 26
48.1%

Length

2024-04-30T04:25:27.661201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:27.746856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 28
51.9%
3 26
48.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업중
28 
폐업
26 

Length

Max length3
Median length3
Mean length2.5185185
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 28
51.9%
폐업 26
48.1%

Length

2024-04-30T04:25:27.834727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:27.921681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 28
51.9%
폐업 26
48.1%

폐업일자
Categorical

Distinct5
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
29 
20091216
9 
20140117
8 
20080605
6 
20050331
 
2

Length

Max length8
Median length4
Mean length5.8518519
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20080605
2nd row20050331
3rd row<NA>
4th row20050331
5th row20080605

Common Values

ValueCountFrequency (%)
<NA> 29
53.7%
20091216 9
 
16.7%
20140117 8
 
14.8%
20080605 6
 
11.1%
20050331 2
 
3.7%

Length

2024-04-30T04:25:28.017825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:28.137603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
53.7%
20091216 9
 
16.7%
20140117 8
 
14.8%
20080605 6
 
11.1%
20050331 2
 
3.7%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

전화번호
Categorical

Distinct13
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
11 
02-6137-5042
9 
02)2670-8240
7 
02-2638-2851
7 
02-2678-5619
4 
Other values (8)
16 

Length

Max length12
Median length12
Mean length9.9444444
Min length4

Unique

Unique3 ?
Unique (%)5.6%

Sample

1st row2678-5619
2nd row2634-3212
3rd row789-5869
4th row2634-3212
5th row2678-5619

Common Values

ValueCountFrequency (%)
<NA> 11
20.4%
02-6137-5042 9
16.7%
02)2670-8240 7
13.0%
02-2638-2851 7
13.0%
02-2678-5619 4
 
7.4%
02-2638-2852 4
 
7.4%
02)836-2557 3
 
5.6%
2678-5619 2
 
3.7%
2634-3212 2
 
3.7%
0226289100 2
 
3.7%
Other values (3) 3
 
5.6%

Length

2024-04-30T04:25:28.252424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 11
20.4%
02-6137-5042 9
16.7%
02)2670-8240 7
13.0%
02-2638-2851 7
13.0%
02-2678-5619 4
 
7.4%
02-2638-2852 4
 
7.4%
02)836-2557 3
 
5.6%
2678-5619 2
 
3.7%
2634-3212 2
 
3.7%
0226289100 2
 
3.7%
Other values (3) 3
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

소재지우편번호
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
29 
150033
15 
150835
8 
150903
 
2

Length

Max length6
Median length4
Mean length4.9259259
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row150033
2nd row150903
3rd row<NA>
4th row150903
5th row150033

Common Values

ValueCountFrequency (%)
<NA> 29
53.7%
150033 15
27.8%
150835 8
 
14.8%
150903 2
 
3.7%

Length

2024-04-30T04:25:28.370615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:28.459389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
53.7%
150033 15
27.8%
150835 8
 
14.8%
150903 2
 
3.7%

지번주소
Categorical

Distinct12
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size564.0 B
서울특별시 영등포구 영등포동3가 9-13번지 에쉐르쇼핑몰 9,10층
9 
서울특별시 영등포구 영등포동4가 442 타임스퀘어 4층
9 
서울특별시 영등포구 문래동3가 55-16번지 4층, 5층
8 
서울특별시 영등포구 여의도동 23
8 
서울특별시 영등포구 영등포동 618-496 외 12필지
7 
Other values (7)
13 

Length

Max length38
Median length30.5
Mean length29.314815
Min length18

Unique

Unique3 ?
Unique (%)5.6%

Sample

1st row서울특별시 영등포구 영등포동3가 2-0번지 외1필지
2nd row서울특별시 영등포구 영등포동2가 175-0번지
3rd row서울특별시 영등포구 여의도동 60-0번지
4th row서울특별시 영등포구 영등포동2가 175-0번지
5th row서울특별시 영등포구 영등포동3가 2-0번지 외1필지

Common Values

ValueCountFrequency (%)
서울특별시 영등포구 영등포동3가 9-13번지 에쉐르쇼핑몰 9,10층 9
16.7%
서울특별시 영등포구 영등포동4가 442 타임스퀘어 4층 9
16.7%
서울특별시 영등포구 문래동3가 55-16번지 4층, 5층 8
14.8%
서울특별시 영등포구 여의도동 23 8
14.8%
서울특별시 영등포구 영등포동 618-496 외 12필지 7
13.0%
서울특별시 영등포구 영등포동3가 21번지 외 1필지 4
7.4%
서울특별시 영등포구 영등포동3가 2-0번지 외1필지 2
 
3.7%
서울특별시 영등포구 영등포동2가 175-0번지 2
 
3.7%
서울특별시 영등포구 영등포동4가 442 타임스퀘어 4층 2
 
3.7%
서울특별시 영등포구 여의도동 60-0번지 1
 
1.9%
Other values (2) 2
 
3.7%

Length

2024-04-30T04:25:28.567109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 54
18.2%
영등포구 54
18.2%
4층 19
 
6.4%
영등포동3가 15
 
5.1%
영등포동4가 12
 
4.0%
442 12
 
4.0%
타임스퀘어 11
 
3.7%
외 11
 
3.7%
여의도동 10
 
3.4%
9,10층 9
 
3.0%
Other values (17) 90
30.3%

도로명주소
Categorical

Distinct9
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
12 
서울특별시 영등포구 영중로 15, 4층 (영등포동4가, 타임스퀘어)
11 
서울특별시 영등포구 영중로 12 (영등포동3가,에쉐르쇼핑몰 9,10층)
9 
서울특별시 영등포구 국제금융로 10, B3층 (여의도동, IFC)
9 
서울특별시 영등포구 경인로 846, A동 7~9층 (영등포동, 롯데백화점 영등포점)
7 
Other values (4)
6 

Length

Max length46
Median length37
Mean length30.518519
Min length4

Unique

Unique2 ?
Unique (%)3.7%

Sample

1st row서울특별시 영등포구 영등포로 256 (영등포동3가,외1필지)
2nd row서울특별시 영등포구 영등포로 253 (영등포동2가)
3rd row서울특별시 영등포구 63로 50 (여의도동)
4th row서울특별시 영등포구 영등포로 253 (영등포동2가)
5th row서울특별시 영등포구 영등포로 256 (영등포동3가,외1필지)

Common Values

ValueCountFrequency (%)
<NA> 12
22.2%
서울특별시 영등포구 영중로 15, 4층 (영등포동4가, 타임스퀘어) 11
20.4%
서울특별시 영등포구 영중로 12 (영등포동3가,에쉐르쇼핑몰 9,10층) 9
16.7%
서울특별시 영등포구 국제금융로 10, B3층 (여의도동, IFC) 9
16.7%
서울특별시 영등포구 경인로 846, A동 7~9층 (영등포동, 롯데백화점 영등포점) 7
13.0%
서울특별시 영등포구 영등포로 256 (영등포동3가,외1필지) 2
 
3.7%
서울특별시 영등포구 영등포로 253 (영등포동2가) 2
 
3.7%
서울특별시 영등포구 63로 50 (여의도동) 1
 
1.9%
서울특별시 영등포구 영중로 15, 6층 (영등포동4가, 타임스퀘어) 1
 
1.9%

Length

2024-04-30T04:25:28.679782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:28.796859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영등포구 42
 
14.0%
서울특별시 42
 
14.0%
영중로 21
 
7.0%
na 12
 
4.0%
15 12
 
4.0%
영등포동4가 12
 
4.0%
타임스퀘어 12
 
4.0%
4층 11
 
3.7%
여의도동 10
 
3.3%
10 9
 
3.0%
Other values (21) 118
39.2%

도로명우편번호
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
26 
7305
12 
7326
9 
7306
7 

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> 26
48.1%
7305 12
22.2%
7326 9
 
16.7%
7306 7
 
13.0%

Length

2024-04-30T04:25:28.940449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:29.034140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
48.1%
7305 12
22.2%
7326 9
 
16.7%
7306 7
 
13.0%

사업장명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-04-30T04:25:29.219670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length11.722222
Min length4

Characters and Unicode

Total characters633
Distinct characters73
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row연흥극장1관
2nd row경원극장
3rd row63아이맥스영화관
4th row경원극장2관
5th row연흥극장2관
ValueCountFrequency (%)
cgv 20
17.5%
영등포 19
 
16.7%
cgv여의도 9
 
7.9%
롯데시네마 7
 
6.1%
seat 2
 
1.8%
6관 2
 
1.8%
2관 2
 
1.8%
1관 2
 
1.8%
5관 2
 
1.8%
4관[comfort 1
 
0.9%
Other values (48) 48
42.1%
2024-04-30T04:25:29.534720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
9.5%
관 55
 
8.7%
C 34
 
5.4%
V 31
 
4.9%
G 30
 
4.7%
제 28
 
4.4%
) 22
 
3.5%
( 22
 
3.5%
영 20
 
3.2%
등 19
 
3.0%
Other values (63) 312
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
50.6%
Uppercase Letter 138
21.8%
Space Separator 60
 
9.5%
Decimal Number 58
 
9.2%
Close Punctuation 26
 
4.1%
Open Punctuation 26
 
4.1%
Lowercase Letter 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 55
17.2%
제 28
 
8.8%
영 20
 
6.2%
등 19
 
5.9%
포 19
 
5.9%
시 16
 
5.0%
네 16
 
5.0%
마 16
 
5.0%
르 9
 
2.8%
의 9
 
2.8%
Other values (25) 113
35.3%
Uppercase Letter
ValueCountFrequency (%)
C 34
24.6%
V 31
22.5%
G 30
21.7%
E 6
 
4.3%
M 5
 
3.6%
T 5
 
3.6%
O 4
 
2.9%
A 4
 
2.9%
R 4
 
2.9%
S 3
 
2.2%
Other values (8) 12
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 10
17.2%
2 8
13.8%
3 7
12.1%
6 7
12.1%
7 6
10.3%
5 6
10.3%
4 6
10.3%
8 4
 
6.9%
9 3
 
5.2%
0 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
x 1
20.0%
o 1
20.0%
t 1
20.0%
a 1
20.0%
e 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 22
84.6%
] 4
 
15.4%
Open Punctuation
ValueCountFrequency (%)
( 22
84.6%
[ 4
 
15.4%
Space Separator
ValueCountFrequency (%)
60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 320
50.6%
Common 170
26.9%
Latin 143
22.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 55
17.2%
제 28
 
8.8%
영 20
 
6.2%
등 19
 
5.9%
포 19
 
5.9%
시 16
 
5.0%
네 16
 
5.0%
마 16
 
5.0%
르 9
 
2.8%
의 9
 
2.8%
Other values (25) 113
35.3%
Latin
ValueCountFrequency (%)
C 34
23.8%
V 31
21.7%
G 30
21.0%
E 6
 
4.2%
M 5
 
3.5%
T 5
 
3.5%
O 4
 
2.8%
A 4
 
2.8%
R 4
 
2.8%
S 3
 
2.1%
Other values (13) 17
11.9%
Common
ValueCountFrequency (%)
60
35.3%
) 22
 
12.9%
( 22
 
12.9%
1 10
 
5.9%
2 8
 
4.7%
3 7
 
4.1%
6 7
 
4.1%
7 6
 
3.5%
5 6
 
3.5%
4 6
 
3.5%
Other values (5) 16
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 320
50.6%
ASCII 313
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
19.2%
C 34
10.9%
V 31
 
9.9%
G 30
 
9.6%
) 22
 
7.0%
( 22
 
7.0%
1 10
 
3.2%
2 8
 
2.6%
3 7
 
2.2%
6 7
 
2.2%
Other values (28) 82
26.2%
Hangul
ValueCountFrequency (%)
관 55
17.2%
제 28
 
8.8%
영 20
 
6.2%
등 19
 
5.9%
포 19
 
5.9%
시 16
 
5.0%
네 16
 
5.0%
마 16
 
5.0%
르 9
 
2.8%
의 9
 
2.8%
Other values (25) 113
35.3%

최종수정일자
Date

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2005-03-31 16:40:12
Maximum2023-12-11 15:34:58
2024-04-30T04:25:29.659597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:25:29.773328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
U
28 
I
26 

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 28
51.9%
I 26
48.1%

Length

2024-04-30T04:25:29.878483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:29.955230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 28
51.9%
i 26
48.1%

데이터갱신일자
Categorical

Distinct8
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size564.0 B
2018-08-31 23:59:59.0
26 
2021-12-05 00:03:00.0
9 
2021-04-25 02:40:00.0
8 
2021-12-04 00:08:00.0
7 
2021-04-28 02:40:00.0
 
1
Other values (3)
3 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique4 ?
Unique (%)7.4%

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
48.1%
2021-12-05 00:03:00.0 9
 
16.7%
2021-04-25 02:40:00.0 8
 
14.8%
2021-12-04 00:08:00.0 7
 
13.0%
2021-04-28 02:40:00.0 1
 
1.9%
2022-10-31 23:06:00.0 1
 
1.9%
2021-12-06 00:09:00.0 1
 
1.9%
2022-11-01 23:03:00.0 1
 
1.9%

Length

2024-04-30T04:25:30.049393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:30.159696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 26
24.1%
23:59:59.0 26
24.1%
2021-12-05 9
 
8.3%
00:03:00.0 9
 
8.3%
02:40:00.0 9
 
8.3%
2021-04-25 8
 
7.4%
2021-12-04 7
 
6.5%
00:08:00.0 7
 
6.5%
2021-04-28 1
 
0.9%
2022-10-31 1
 
0.9%
Other values (5) 5
 
4.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

좌표정보(X)
Real number (ℝ)

Distinct9
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191889.93
Minimum191087.76
Maximum194632.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-30T04:25:30.266193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191087.76
5-th percentile191087.76
Q1191385.06
median191664.8
Q3191912.09
95-th percentile193326.93
Maximum194632.53
Range3544.7674
Interquartile range (IQR)527.0316

Descriptive statistics

Standard deviation812.42808
Coefficient of variation (CV)0.0042338233
Kurtosis1.6277405
Mean191889.93
Median Absolute Deviation (MAD)279.73867
Skewness1.5175834
Sum10362056
Variance660039.39
MonotonicityNot monotonic
2024-04-30T04:25:30.348715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
191385.057392247 12
22.2%
191664.796066351 9
16.7%
193326.931018911 9
16.7%
191087.758954321 8
14.8%
191741.345847708 7
13.0%
191789.663812598 4
 
7.4%
191960.889844759 2
 
3.7%
191952.897386555 2
 
3.7%
194632.526367463 1
 
1.9%
ValueCountFrequency (%)
191087.758954321 8
14.8%
191385.057392247 12
22.2%
191664.796066351 9
16.7%
191741.345847708 7
13.0%
191789.663812598 4
 
7.4%
191952.897386555 2
 
3.7%
191960.889844759 2
 
3.7%
193326.931018911 9
16.7%
194632.526367463 1
 
1.9%
ValueCountFrequency (%)
194632.526367463 1
 
1.9%
193326.931018911 9
16.7%
191960.889844759 2
 
3.7%
191952.897386555 2
 
3.7%
191789.663812598 4
 
7.4%
191741.345847708 7
13.0%
191664.796066351 9
16.7%
191385.057392247 12
22.2%
191087.758954321 8
14.8%

좌표정보(Y)
Real number (ℝ)

Distinct9
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446271.64
Minimum445970.31
Maximum446973.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-30T04:25:30.442337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445970.31
5-th percentile445970.31
Q1446098.56
median446157.44
Q3446244.97
95-th percentile446973.91
Maximum446973.91
Range1003.6069
Interquartile range (IQR)146.41311

Descriptive statistics

Standard deviation328.98362
Coefficient of variation (CV)0.00073718245
Kurtosis0.90203048
Mean446271.64
Median Absolute Deviation (MAD)58.881363
Skewness1.5598509
Sum24098669
Variance108230.22
MonotonicityNot monotonic
2024-04-30T04:25:30.529068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
446098.555926507 12
22.2%
446160.543792163 9
16.7%
446973.914570276 9
16.7%
446157.437289242 8
14.8%
445970.307641467 7
13.0%
446148.686080404 4
 
7.4%
446273.11078284 2
 
3.7%
446340.637133232 2
 
3.7%
446401.926526228 1
 
1.9%
ValueCountFrequency (%)
445970.307641467 7
13.0%
446098.555926507 12
22.2%
446148.686080404 4
 
7.4%
446157.437289242 8
14.8%
446160.543792163 9
16.7%
446273.11078284 2
 
3.7%
446340.637133232 2
 
3.7%
446401.926526228 1
 
1.9%
446973.914570276 9
16.7%
ValueCountFrequency (%)
446973.914570276 9
16.7%
446401.926526228 1
 
1.9%
446340.637133232 2
 
3.7%
446273.11078284 2
 
3.7%
446160.543792163 9
16.7%
446157.437289242 8
14.8%
446148.686080404 4
 
7.4%
446098.555926507 12
22.2%
445970.307641467 7
13.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
영화상영관
35 
<NA>
19 

Length

Max length5
Median length5
Mean length4.6481481
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 35
64.8%
<NA> 19
35.2%

Length

2024-04-30T04:25:30.628932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:30.706506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 35
64.8%
na 19
35.2%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
28 
영화상영관
26 

Length

Max length5
Median length4
Mean length4.4814815
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
51.9%
영화상영관 26
48.1%

Length

2024-04-30T04:25:30.792904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:30.868707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
51.9%
영화상영관 26
48.1%

총층수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)20.0%
Missing19
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean25.342857
Minimum3
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-30T04:25:30.949489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5.1
Q121
median25
Q334
95-th percentile43
Maximum63
Range60
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.871136
Coefficient of variation (CV)0.54733906
Kurtosis0.22032386
Mean25.342857
Median Absolute Deviation (MAD)4
Skewness0.58930509
Sum887
Variance192.4084
MonotonicityNot monotonic
2024-04-30T04:25:31.257990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
21 9
16.7%
25 9
16.7%
43 8
14.8%
12 4
 
7.4%
3 2
 
3.7%
6 2
 
3.7%
63 1
 
1.9%
(Missing) 19
35.2%
ValueCountFrequency (%)
3 2
 
3.7%
6 2
 
3.7%
12 4
7.4%
21 9
16.7%
25 9
16.7%
43 8
14.8%
63 1
 
1.9%
ValueCountFrequency (%)
63 1
 
1.9%
43 8
14.8%
25 9
16.7%
21 9
16.7%
12 4
7.4%
6 2
 
3.7%
3 2
 
3.7%

주변환경명
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
32 
유흥업소밀집지역
9 
아파트지역
8 
기타
5 

Length

Max length8
Median length4
Mean length4.6296296
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
59.3%
유흥업소밀집지역 9
 
16.7%
아파트지역 8
 
14.8%
기타 5
 
9.3%

Length

2024-04-30T04:25:31.368092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:31.467100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
59.3%
유흥업소밀집지역 9
 
16.7%
아파트지역 8
 
14.8%
기타 5
 
9.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

시설면적
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
0
35 
<NA>
19 

Length

Max length4
Median length1
Mean length2.0555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
64.8%
<NA> 19
35.2%

Length

2024-04-30T04:25:31.560711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:31.640672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
64.8%
na 19
35.2%

지상층수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)20.0%
Missing19
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean21.457143
Minimum3
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-30T04:25:31.706789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.4
Q115
median20
Q330
95-th percentile40
Maximum60
Range57
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.697022
Coefficient of variation (CV)0.63834322
Kurtosis0.32137401
Mean21.457143
Median Absolute Deviation (MAD)5
Skewness0.95059587
Sum751
Variance187.6084
MonotonicityNot monotonic
2024-04-30T04:25:31.785148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
15 9
16.7%
20 9
16.7%
40 8
14.8%
10 4
 
7.4%
3 2
 
3.7%
5 2
 
3.7%
60 1
 
1.9%
(Missing) 19
35.2%
ValueCountFrequency (%)
3 2
 
3.7%
5 2
 
3.7%
10 4
7.4%
15 9
16.7%
20 9
16.7%
40 8
14.8%
60 1
 
1.9%
ValueCountFrequency (%)
60 1
 
1.9%
40 8
14.8%
20 9
16.7%
15 9
16.7%
10 4
7.4%
5 2
 
3.7%
3 2
 
3.7%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)17.1%
Missing19
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean3.8857143
Minimum0
Maximum6
Zeros2
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-30T04:25:31.866523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7
Q13
median5
Q35.5
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.875091
Coefficient of variation (CV)0.48256019
Kurtosis-0.88678489
Mean3.8857143
Median Absolute Deviation (MAD)1
Skewness-0.47771016
Sum136
Variance3.5159664
MonotonicityNot monotonic
2024-04-30T04:25:31.953614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 9
16.7%
6 9
16.7%
5 9
16.7%
2 4
 
7.4%
0 2
 
3.7%
1 2
 
3.7%
(Missing) 19
35.2%
ValueCountFrequency (%)
0 2
 
3.7%
1 2
 
3.7%
2 4
7.4%
3 9
16.7%
5 9
16.7%
6 9
16.7%
ValueCountFrequency (%)
6 9
16.7%
5 9
16.7%
3 9
16.7%
2 4
7.4%
1 2
 
3.7%
0 2
 
3.7%

건물용도명
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
29 
문화시설
21 
근린생활시설
4 

Length

Max length6
Median length4
Mean length4.1481481
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
53.7%
문화시설 21
38.9%
근린생활시설 4
 
7.4%

Length

2024-04-30T04:25:32.077105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:32.188478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
53.7%
문화시설 21
38.9%
근린생활시설 4
 
7.4%

통로너비
Categorical

Distinct3
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
0
27 
<NA>
19 
1
8 

Length

Max length4
Median length1
Mean length2.0555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 27
50.0%
<NA> 19
35.2%
1 8
 
14.8%

Length

2024-04-30T04:25:32.314345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:32.422786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 27
50.0%
na 19
35.2%
1 8
 
14.8%

조명시설조도
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
0
35 
<NA>
19 

Length

Max length4
Median length1
Mean length2.0555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
64.8%
<NA> 19
35.2%

Length

2024-04-30T04:25:32.529267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:32.614571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
64.8%
na 19
35.2%

노래방실수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
0
35 
<NA>
19 

Length

Max length4
Median length1
Mean length2.0555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
64.8%
<NA> 19
35.2%

Length

2024-04-30T04:25:32.704394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:32.786179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
64.8%
na 19
35.2%

청소년실수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
0
35 
<NA>
19 

Length

Max length4
Median length1
Mean length2.0555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
64.8%
<NA> 19
35.2%

Length

2024-04-30T04:25:32.886988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:32.990213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
64.8%
na 19
35.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

총게임기수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
0
35 
<NA>
19 

Length

Max length4
Median length1
Mean length2.0555556
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 35
64.8%
<NA> 19
35.2%

Length

2024-04-30T04:25:33.078264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:33.159726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 35
64.8%
na 19
35.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

공연장형태구분명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
영화관
35 
<NA>
19 

Length

Max length4
Median length3
Mean length3.3518519
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 35
64.8%
<NA> 19
35.2%

Length

2024-04-30T04:25:33.242371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:33.326067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 35
64.8%
na 19
35.2%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)28.6%
Missing19
Missing (%)35.2%
Infinite0
Infinite (%)0.0%
Mean20028284
Minimum19630708
Maximum20091217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-04-30T04:25:33.399246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19630708
5-th percentile19788729
Q120040757
median20050909
Q320080920
95-th percentile20090914
Maximum20091217
Range460509
Interquartile range (IQR)40163.5

Descriptive statistics

Standard deviation106653.35
Coefficient of variation (CV)0.0053251369
Kurtosis7.5707936
Mean20028284
Median Absolute Deviation (MAD)20304
Skewness-2.7971871
Sum7.0098993 × 108
Variance1.1374938 × 1010
MonotonicityIncreasing
2024-04-30T04:25:33.488634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
20050909 9
16.7%
20070927 8
14.8%
20090914 8
14.8%
20030605 4
 
7.4%
19630708 1
 
1.9%
19690726 1
 
1.9%
19830730 1
 
1.9%
19890807 1
 
1.9%
19980413 1
 
1.9%
20091217 1
 
1.9%
(Missing) 19
35.2%
ValueCountFrequency (%)
19630708 1
 
1.9%
19690726 1
 
1.9%
19830730 1
 
1.9%
19890807 1
 
1.9%
19980413 1
 
1.9%
20030605 4
7.4%
20050909 9
16.7%
20070927 8
14.8%
20090914 8
14.8%
20091217 1
 
1.9%
ValueCountFrequency (%)
20091217 1
 
1.9%
20090914 8
14.8%
20070927 8
14.8%
20050909 9
16.7%
20030605 4
7.4%
19980413 1
 
1.9%
19890807 1
 
1.9%
19830730 1
 
1.9%
19690726 1
 
1.9%
19630708 1
 
1.9%

지역구분명
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
32 
근린상업지역
12 
상업지역
9 
일반상업지역
 
1

Length

Max length6
Median length4
Mean length4.4814815
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
59.3%
근린상업지역 12
 
22.2%
상업지역 9
 
16.7%
일반상업지역 1
 
1.9%

Length

2024-04-30T04:25:33.607143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:33.699896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
59.3%
근린상업지역 12
 
22.2%
상업지역 9
 
16.7%
일반상업지역 1
 
1.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03180000CDFF422000196300000119630708<NA>3폐업3폐업20080605<NA><NA><NA>2678-5619<NA>150033서울특별시 영등포구 영등포동3가 2-0번지 외1필지서울특별시 영등포구 영등포로 256 (영등포동3가,외1필지)<NA>연흥극장1관2008-11-03 17:48:16I2018-08-31 23:59:59.0<NA>191960.889845446273.110783영화상영관영화상영관3기타<NA>030근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>19630708근린상업지역
13180000CDFF422000196900000119690726<NA>3폐업3폐업20050331<NA><NA><NA>2634-3212<NA>150903서울특별시 영등포구 영등포동2가 175-0번지서울특별시 영등포구 영등포로 253 (영등포동2가)<NA>경원극장2005-03-31 16:40:12I2018-08-31 23:59:59.0<NA>191952.897387446340.637133영화상영관영화상영관6기타<NA>051근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>19690726근린상업지역
23180000CDFF422000198300000119830730<NA>3폐업3폐업<NA><NA><NA><NA>789-5869<NA><NA>서울특별시 영등포구 여의도동 60-0번지서울특별시 영등포구 63로 50 (여의도동)<NA>63아이맥스영화관2015-08-21 15:52:03I2018-08-31 23:59:59.0<NA>194632.526367446401.926526영화상영관영화상영관63기타<NA>0603문화시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>19830730근린상업지역
33180000CDFF422000198900000119890807<NA>3폐업3폐업20050331<NA><NA><NA>2634-3212<NA>150903서울특별시 영등포구 영등포동2가 175-0번지서울특별시 영등포구 영등포로 253 (영등포동2가)<NA>경원극장2관2005-03-31 16:41:24I2018-08-31 23:59:59.0<NA>191952.897387446340.637133영화상영관영화상영관6기타<NA>051근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>19890807근린상업지역
43180000CDFF422000199800000119980413<NA>3폐업3폐업20080605<NA><NA><NA>2678-5619<NA>150033서울특별시 영등포구 영등포동3가 2-0번지 외1필지서울특별시 영등포구 영등포로 256 (영등포동3가,외1필지)<NA>연흥극장2관2008-11-03 17:50:51I2018-08-31 23:59:59.0<NA>191960.889845446273.110783영화상영관영화상영관3기타<NA>030근린생활시설0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>19980413근린상업지역
53180000CDFF422000200300000120030605<NA>3폐업3폐업20080605<NA><NA><NA>02-2678-5619<NA>150033서울특별시 영등포구 영등포동3가 21번지 외 1필지<NA><NA>연흥극장3관2008-11-03 17:52:17I2018-08-31 23:59:59.0<NA>191789.663813446148.68608영화상영관영화상영관12<NA><NA>0102<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20030605<NA>
63180000CDFF422000200300000220030605<NA>3폐업3폐업20080605<NA><NA><NA>02-2678-5619<NA>150033서울특별시 영등포구 영등포동3가 21번지 외 1필지<NA><NA>연흥극장5관2008-11-03 17:53:27I2018-08-31 23:59:59.0<NA>191789.663813446148.68608영화상영관영화상영관12<NA><NA>0102<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20030605<NA>
73180000CDFF422000200300000320030605<NA>3폐업3폐업20080605<NA><NA><NA>02-2678-5619<NA>150033서울특별시 영등포구 영등포동3가 21번지 외 1필지<NA><NA>연흥극장6관2008-11-03 17:54:23I2018-08-31 23:59:59.0<NA>191789.663813446148.68608영화상영관영화상영관12<NA><NA>0102<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20030605<NA>
83180000CDFF422000200300000420030605<NA>3폐업3폐업20080605<NA><NA><NA>02-2678-5619<NA>150033서울특별시 영등포구 영등포동3가 21번지 외 1필지<NA><NA>연흥극장7관2008-11-03 17:55:21I2018-08-31 23:59:59.0<NA>191789.663813446148.68608영화상영관영화상영관12<NA><NA>0102<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>영화관<NA>20030605<NA>
93180000CDFF422000200500000120050426<NA>1영업/정상13영업중<NA><NA><NA><NA>02)2670-8240<NA><NA>서울특별시 영등포구 영등포동 618-496 외 12필지서울특별시 영등포구 경인로 846, A동 7~9층 (영등포동, 롯데백화점 영등포점)7306롯데시네마 영등포 1관2022-04-06 15:28:40U2021-12-04 00:08:00.0<NA>191741.345848445970.307641<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
443180000CDFF422000201200000120120827<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6137-5042<NA><NA>서울특별시 영등포구 여의도동 23서울특별시 영등포구 국제금융로 10, B3층 (여의도동, IFC)7326CGV여의도 1관2022-04-29 11:05:57U2021-12-05 00:03:00.0<NA>193326.931019446973.91457<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>
453180000CDFF422000201200000220120827<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6137-5042<NA><NA>서울특별시 영등포구 여의도동 23서울특별시 영등포구 국제금융로 10, B3층 (여의도동, IFC)7326CGV여의도 2관2022-04-29 11:06:18U2021-12-05 00:03:00.0<NA>193326.931019446973.91457<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>
463180000CDFF422000201200000320120827<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6137-5042<NA><NA>서울특별시 영등포구 여의도동 23서울특별시 영등포구 국제금융로 10, B3층 (여의도동, IFC)7326CGV여의도 3관(VeatBox관)2022-04-29 11:06:38U2021-12-05 00:03:00.0<NA>193326.931019446973.91457<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>
473180000CDFF422000201200000420120827<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6137-5042<NA><NA>서울특별시 영등포구 여의도동 23서울특별시 영등포구 국제금융로 10, B3층 (여의도동, IFC)7326CGV여의도 4관[COMFORT SEAT]2022-04-29 11:07:15U2021-12-05 00:03:00.0<NA>193326.931019446973.91457<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>
483180000CDFF422000201200000520120827<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6137-5042<NA><NA>서울특별시 영등포구 여의도동 23서울특별시 영등포구 국제금융로 10, B3층 (여의도동, IFC)7326CGV여의도 5관 [CGV아트하우스]2022-04-29 11:07:32U2021-12-05 00:03:00.0<NA>193326.931019446973.91457<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>
493180000CDFF422000201200000620120827<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6137-5042<NA><NA>서울특별시 영등포구 여의도동 23서울특별시 영등포구 국제금융로 10, B3층 (여의도동, IFC)7326CGV여의도 6관2022-04-29 11:07:50U2021-12-05 00:03:00.0<NA>193326.931019446973.91457<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>
503180000CDFF422000201200000720120827<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6137-5042<NA><NA>서울특별시 영등포구 여의도동 23 IFC서울특별시 영등포구 국제금융로 10, B3층 (여의도동, IFC)7326CGV여의도 7관(TEMPUR CINEMA관)2022-04-29 11:08:11U2021-12-05 00:03:00.0<NA>193326.931019446973.91457<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>
513180000CDFF422000201200000820120827<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6137-5042<NA><NA>서울특별시 영등포구 여의도동 23서울특별시 영등포구 국제금융로 10, B3층 (여의도동, IFC)7326CGV여의도 8관[COMFORT SEAT]2022-04-29 11:08:32U2021-12-05 00:03:00.0<NA>193326.931019446973.91457<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>
523180000CDFF422000201200000920120827<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6137-5042<NA><NA>서울특별시 영등포구 여의도동 23서울특별시 영등포구 국제금융로 10, B3층 (여의도동, IFC)7326CGV여의도 9관2022-04-29 11:08:52U2021-12-05 00:03:00.0<NA>193326.931019446973.91457<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>
533180000CDFF42200020150000012015-12-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2638-2752<NA><NA>서울특별시 영등포구 영등포동4가 442서울특별시 영등포구 영중로 15, 6층 (영등포동4가, 타임스퀘어)7305CGV 영등포 12관(IMAX)2023-12-11 15:34:58U2022-11-01 23:03:00.0<NA>191385.057392446098.555927<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>