Overview

Dataset statistics

Number of variables56
Number of observations44
Missing cells1187
Missing cells (%)48.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.0 KiB
Average record size in memory489.0 B

Variable types

Categorical22
Text3
Unsupported26
DateTime1
Numeric4

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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-17664/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 44 (100.0%) missing valuesMissing
휴업시작일자 has 44 (100.0%) missing valuesMissing
휴업종료일자 has 44 (100.0%) missing valuesMissing
재개업일자 has 44 (100.0%) missing valuesMissing
소재지면적 has 44 (100.0%) missing valuesMissing
도로명주소 has 4 (9.1%) missing valuesMissing
업태구분명 has 44 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.3%) missing valuesMissing
좌표정보(Y) has 1 (2.3%) missing valuesMissing
제작취급품목내용 has 44 (100.0%) missing valuesMissing
지상층수 has 23 (52.3%) missing valuesMissing
통로너비 has 44 (100.0%) missing valuesMissing
조명시설조도 has 44 (100.0%) missing valuesMissing
노래방실수 has 44 (100.0%) missing valuesMissing
청소년실수 has 44 (100.0%) missing valuesMissing
비상계단여부 has 44 (100.0%) missing valuesMissing
비상구여부 has 44 (100.0%) missing valuesMissing
자동환기여부 has 44 (100.0%) missing valuesMissing
청소년실여부 has 44 (100.0%) missing valuesMissing
특수조명여부 has 44 (100.0%) missing valuesMissing
방음시설여부 has 44 (100.0%) missing valuesMissing
비디오재생기명 has 44 (100.0%) missing valuesMissing
조명시설유무 has 44 (100.0%) missing valuesMissing
음향시설여부 has 44 (100.0%) missing valuesMissing
편의시설여부 has 44 (100.0%) missing valuesMissing
소방시설여부 has 44 (100.0%) missing valuesMissing
총게임기수 has 44 (100.0%) missing valuesMissing
기존게임업외업종명 has 44 (100.0%) missing valuesMissing
제공게임물명 has 44 (100.0%) missing valuesMissing
품목명 has 44 (100.0%) missing valuesMissing
최초등록시점 has 14 (31.8%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 has 3 (6.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:07:43.593675
Analysis finished2024-05-11 06:07:44.324224
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
3120000
44 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 44
100.0%

Length

2024-05-11T15:07:44.530744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:44.760478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 44
100.0%

관리번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T15:07:45.067562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters880
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

Unique44 ?
Unique (%)100.0%

Sample

1st rowCDFF4220001958000001
2nd rowCDFF4220001987000001
3rd rowCDFF4220001989000001
4th rowCDFF4220001990000001
5th rowCDFF4220001990000002
ValueCountFrequency (%)
cdff4220001958000001 1
 
2.3%
cdff4220001987000001 1
 
2.3%
cdff4220002008000004 1
 
2.3%
cdff4220002006000004 1
 
2.3%
cdff4220002006000005 1
 
2.3%
cdff4220002006000006 1
 
2.3%
cdff4220002006000007 1
 
2.3%
cdff4220002006000008 1
 
2.3%
cdff4220002008000001 1
 
2.3%
cdff4220002008000002 1
 
2.3%
Other values (34) 34
77.3%
2024-05-11T15:07:45.597683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 414
47.0%
2 132
 
15.0%
F 88
 
10.0%
4 50
 
5.7%
C 44
 
5.0%
D 44
 
5.0%
1 34
 
3.9%
3 23
 
2.6%
9 19
 
2.2%
8 12
 
1.4%
Other values (3) 20
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 704
80.0%
Uppercase Letter 176
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 414
58.8%
2 132
 
18.8%
4 50
 
7.1%
1 34
 
4.8%
3 23
 
3.3%
9 19
 
2.7%
8 12
 
1.7%
6 12
 
1.7%
5 4
 
0.6%
7 4
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 88
50.0%
C 44
25.0%
D 44
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 704
80.0%
Latin 176
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 414
58.8%
2 132
 
18.8%
4 50
 
7.1%
1 34
 
4.8%
3 23
 
3.3%
9 19
 
2.7%
8 12
 
1.7%
6 12
 
1.7%
5 4
 
0.6%
7 4
 
0.6%
Latin
ValueCountFrequency (%)
F 88
50.0%
C 44
25.0%
D 44
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 414
47.0%
2 132
 
15.0%
F 88
 
10.0%
4 50
 
5.7%
C 44
 
5.0%
D 44
 
5.0%
1 34
 
3.9%
3 23
 
2.6%
9 19
 
2.2%
8 12
 
1.4%
Other values (3) 20
 
2.3%

인허가일자
Categorical

Distinct20
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
20030820
9 
2006-09-15
8 
20130618
8 
20080731
2 
20080718
2 
Other values (15)
15 

Length

Max length10
Median length8
Mean length8.4545455
Min length8

Unique

Unique15 ?
Unique (%)34.1%

Sample

1st row19580121
2nd row19870926
3rd row19891208
4th row19900608
5th row19901205

Common Values

ValueCountFrequency (%)
20030820 9
20.5%
2006-09-15 8
18.2%
20130618 8
18.2%
20080731 2
 
4.5%
20080718 2
 
4.5%
19990625 1
 
2.3%
19891208 1
 
2.3%
19900608 1
 
2.3%
19901205 1
 
2.3%
19940208 1
 
2.3%
Other values (10) 10
22.7%

Length

2024-05-11T15:07:45.847474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20030820 9
20.5%
20130618 8
18.2%
2006-09-15 8
18.2%
20080731 2
 
4.5%
20080718 2
 
4.5%
20010630 1
 
2.3%
19580121 1
 
2.3%
19870926 1
 
2.3%
20180515 1
 
2.3%
2013-06-18 1
 
2.3%
Other values (10) 10
22.7%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
3
24 
1
20 

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 (%)
3 24
54.5%
1 20
45.5%

Length

2024-05-11T15:07:46.059423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:46.255202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 24
54.5%
1 20
45.5%

영업상태명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
폐업
24 
영업/정상
20 

Length

Max length5
Median length2
Mean length3.3636364
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 24
54.5%
영업/정상 20
45.5%

Length

2024-05-11T15:07:46.409456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:46.582654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 24
54.5%
영업/정상 20
45.5%

상세영업상태코드
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
3
24 
13
20 

Length

Max length2
Median length1
Mean length1.4545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 24
54.5%
13 20
45.5%

Length

2024-05-11T15:07:46.781405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:46.991987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 24
54.5%
13 20
45.5%

상세영업상태명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
폐업
24 
영업중
20 

Length

Max length3
Median length2
Mean length2.4545455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 24
54.5%
영업중 20
45.5%

Length

2024-05-11T15:07:47.177438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:47.334798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 24
54.5%
영업중 20
45.5%

폐업일자
Categorical

Distinct11
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
20 
20130306
9 
20051004
5 
20011110
 
2
20221203
 
2
Other values (6)
6 

Length

Max length10
Median length8
Mean length6.2272727
Min length4

Unique

Unique6 ?
Unique (%)13.6%

Sample

1st row20001101
2nd row20010315
3rd row20020401
4th row20011110
5th row20011110

Common Values

ValueCountFrequency (%)
<NA> 20
45.5%
20130306 9
20.5%
20051004 5
 
11.4%
20011110 2
 
4.5%
20221203 2
 
4.5%
20001101 1
 
2.3%
20010315 1
 
2.3%
20020401 1
 
2.3%
20030922 1
 
2.3%
20130205 1
 
2.3%

Length

2024-05-11T15:07:47.532818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 20
45.5%
20130306 9
20.5%
20051004 5
 
11.4%
20011110 2
 
4.5%
20221203 2
 
4.5%
20001101 1
 
2.3%
20010315 1
 
2.3%
20020401 1
 
2.3%
20030922 1
 
2.3%
20130205 1
 
2.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

전화번호
Categorical

Distinct9
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
12 
02-373-2995
10 
02-3147-3806
8 
02-364-8900
6 
364-8900
3 
Other values (4)
5 

Length

Max length13
Median length12
Mean length9.2045455
Min length4

Unique

Unique3 ?
Unique (%)6.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 12
27.3%
02-373-2995 10
22.7%
02-3147-3806 8
18.2%
02-364-8900 6
13.6%
364-8900 3
 
6.8%
02-363-2537 2
 
4.5%
070-7017-6601 1
 
2.3%
070-7017-6522 1
 
2.3%
070-7780-0962 1
 
2.3%

Length

2024-05-11T15:07:47.716596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:47.949068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
27.3%
02-373-2995 10
22.7%
02-3147-3806 8
18.2%
02-364-8900 6
13.6%
364-8900 3
 
6.8%
02-363-2537 2
 
4.5%
070-7017-6601 1
 
2.3%
070-7017-6522 1
 
2.3%
070-7780-0962 1
 
2.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

소재지우편번호
Categorical

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
24 
120833
15 
120809
4 
120803
 
1

Length

Max length6
Median length4
Mean length4.9090909
Min length4

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row120833
2nd row120803
3rd row120809
4th row120809
5th row120809

Common Values

ValueCountFrequency (%)
<NA> 24
54.5%
120833 15
34.1%
120809 4
 
9.1%
120803 1
 
2.3%

Length

2024-05-11T15:07:48.197450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:48.383859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
54.5%
120833 15
34.1%
120809 4
 
9.1%
120803 1
 
2.3%

지번주소
Categorical

Distinct21
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Memory size484.0 B
서울특별시 서대문구 창천동 20-25번지
7 
서울특별시 서대문구 신촌동 74-12 5층
7 
서울특별시 서대문구 창천동 20-25
6 
서울특별시 서대문구 창천동 20-0025번지
3 
서울특별시 서대문구 창천동 20-25
3 
Other values (16)
18 

Length

Max length40
Median length37
Mean length25.068182
Min length20

Unique

Unique14 ?
Unique (%)31.8%

Sample

1st row서울특별시 서대문구 창천동 20-25번지
2nd row서울특별시 서대문구 남가좌동 158-11번지 (지층)
3rd row서울특별시 서대문구 대현동 104-5번지 6층
4th row서울특별시 서대문구 대현동 101-17번지 25 (5층)
5th row서울특별시 서대문구 대현동 101-17번지 25 (5층)

Common Values

ValueCountFrequency (%)
서울특별시 서대문구 창천동 20-25번지 7
15.9%
서울특별시 서대문구 신촌동 74-12 5층 7
15.9%
서울특별시 서대문구 창천동 20-25 6
13.6%
서울특별시 서대문구 창천동 20-0025번지 3
 
6.8%
서울특별시 서대문구 창천동 20-25 3
 
6.8%
서울특별시 서대문구 대현동 101-17번지 25 (5층) 2
 
4.5%
서울특별시 서대문구 대현동 11-1번지 이화캠퍼스복합단지 지하 4,5층 2
 
4.5%
서울특별시 서대문구 창천동 29-80번지 4층 1
 
2.3%
서울특별시 서대문구 대현동 104-5번지 6층 1
 
2.3%
서울특별시 서대문구 창천동 29-80번지 (지하1층) 29동 80호 1
 
2.3%
Other values (11) 11
25.0%

Length

2024-05-11T15:07:48.614701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 44
21.0%
서대문구 44
21.0%
창천동 25
11.9%
5층 10
 
4.8%
20-25 10
 
4.8%
신촌동 8
 
3.8%
74-12 8
 
3.8%
20-25번지 7
 
3.3%
대현동 6
 
2.9%
29-80번지 5
 
2.4%
Other values (32) 43
20.5%

도로명주소
Text

MISSING 

Distinct24
Distinct (%)60.0%
Missing4
Missing (%)9.1%
Memory size484.0 B
2024-05-11T15:07:48.920149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length30.7
Min length24

Characters and Unicode

Total characters1228
Distinct characters63
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

Unique17 ?
Unique (%)42.5%

Sample

1st row서울특별시 서대문구 신촌로 129 (창천동)
2nd row서울특별시 서대문구 신촌역로 7 (대현동,6층)
3rd row서울특별시 서대문구 신촌로 155 (대현동,25 (5층))
4th row서울특별시 서대문구 신촌로 155 (대현동,25 (5층))
5th row서울특별시 서대문구 신촌로 113, 29동 80호 (창천동,(지하1층))
ValueCountFrequency (%)
서울특별시 40
17.0%
서대문구 40
17.0%
신촌로 24
10.2%
129 17
 
7.2%
창천동 17
 
7.2%
신촌역로 10
 
4.3%
아트레온 10
 
4.3%
30 8
 
3.4%
신촌동,5층 6
 
2.6%
113 5
 
2.1%
Other values (39) 58
24.7%
2024-05-11T15:07:49.577908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
 
17.2%
서 80
 
6.5%
대 50
 
4.1%
신 44
 
3.6%
, 44
 
3.6%
동 43
 
3.5%
( 43
 
3.5%
) 43
 
3.5%
촌 42
 
3.4%
1 41
 
3.3%
Other values (53) 587
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 732
59.6%
Space Separator 211
 
17.2%
Decimal Number 151
 
12.3%
Other Punctuation 44
 
3.6%
Open Punctuation 43
 
3.5%
Close Punctuation 43
 
3.5%
Uppercase Letter 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 80
 
10.9%
대 50
 
6.8%
신 44
 
6.0%
동 43
 
5.9%
촌 42
 
5.7%
구 40
 
5.5%
문 40
 
5.5%
시 40
 
5.5%
울 40
 
5.5%
별 40
 
5.5%
Other values (36) 273
37.3%
Decimal Number
ValueCountFrequency (%)
1 41
27.2%
2 26
17.2%
5 23
15.2%
9 21
13.9%
3 15
 
9.9%
0 11
 
7.3%
7 6
 
4.0%
4 3
 
2.0%
8 3
 
2.0%
6 2
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
211
100.0%
Other Punctuation
ValueCountFrequency (%)
, 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 732
59.6%
Common 493
40.1%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 80
 
10.9%
대 50
 
6.8%
신 44
 
6.0%
동 43
 
5.9%
촌 42
 
5.7%
구 40
 
5.5%
문 40
 
5.5%
시 40
 
5.5%
울 40
 
5.5%
별 40
 
5.5%
Other values (36) 273
37.3%
Common
ValueCountFrequency (%)
211
42.8%
, 44
 
8.9%
( 43
 
8.7%
) 43
 
8.7%
1 41
 
8.3%
2 26
 
5.3%
5 23
 
4.7%
9 21
 
4.3%
3 15
 
3.0%
0 11
 
2.2%
Other values (5) 15
 
3.0%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 732
59.6%
ASCII 496
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
42.5%
, 44
 
8.9%
( 43
 
8.7%
) 43
 
8.7%
1 41
 
8.3%
2 26
 
5.2%
5 23
 
4.6%
9 21
 
4.2%
3 15
 
3.0%
0 11
 
2.2%
Other values (7) 18
 
3.6%
Hangul
ValueCountFrequency (%)
서 80
 
10.9%
대 50
 
6.8%
신 44
 
6.0%
동 43
 
5.9%
촌 42
 
5.7%
구 40
 
5.5%
문 40
 
5.5%
시 40
 
5.5%
울 40
 
5.5%
별 40
 
5.5%
Other values (36) 273
37.3%

도로명우편번호
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
30 
3780
10 
3721
 
2
3765
 
1
3726
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique2 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
68.2%
3780 10
 
22.7%
3721 2
 
4.5%
3765 1
 
2.3%
3726 1
 
2.3%

Length

2024-05-11T15:07:49.811292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:49.995350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
68.2%
3780 10
 
22.7%
3721 2
 
4.5%
3765 1
 
2.3%
3726 1
 
2.3%

사업장명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-05-11T15:07:50.321446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length11.159091
Min length4

Characters and Unicode

Total characters491
Distinct characters77
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

Unique44 ?
Unique (%)100.0%

Sample

1st row신영극장
2nd row모래내비디오소극장
3rd row신촌아트홀
4th row이화예술극장 2관
5th row이화예술극장 1관
ValueCountFrequency (%)
cgv신촌아트레온 10
 
11.8%
아트레온 9
 
10.6%
메가박스중앙(주)신촌지점 7
 
8.2%
2관 5
 
5.9%
1관 5
 
5.9%
7관 2
 
2.4%
3관 2
 
2.4%
아트하우스 2
 
2.4%
모모-이화?kb 2
 
2.4%
시네마 2
 
2.4%
Other values (32) 39
45.9%
2024-05-11T15:07:50.943189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
8.4%
관 40
 
8.1%
트 24
 
4.9%
아 24
 
4.9%
신 20
 
4.1%
레 19
 
3.9%
온 19
 
3.9%
촌 19
 
3.9%
C 13
 
2.6%
G 11
 
2.2%
Other values (67) 261
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 336
68.4%
Uppercase Letter 52
 
10.6%
Space Separator 41
 
8.4%
Decimal Number 40
 
8.1%
Open Punctuation 9
 
1.8%
Close Punctuation 9
 
1.8%
Other Punctuation 2
 
0.4%
Dash Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 40
 
11.9%
트 24
 
7.1%
아 24
 
7.1%
신 20
 
6.0%
레 19
 
5.7%
온 19
 
5.7%
촌 19
 
5.7%
스 11
 
3.3%
제 9
 
2.7%
장 9
 
2.7%
Other values (39) 142
42.3%
Uppercase Letter
ValueCountFrequency (%)
C 13
25.0%
G 11
21.2%
V 11
21.2%
O 4
 
7.7%
R 2
 
3.8%
B 2
 
3.8%
K 2
 
3.8%
T 2
 
3.8%
F 2
 
3.8%
M 2
 
3.8%
Decimal Number
ValueCountFrequency (%)
2 8
20.0%
1 8
20.0%
6 4
10.0%
5 4
10.0%
7 4
10.0%
4 3
 
7.5%
8 3
 
7.5%
3 3
 
7.5%
9 2
 
5.0%
0 1
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 8
88.9%
[ 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 8
88.9%
] 1
 
11.1%
Space Separator
ValueCountFrequency (%)
41
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 336
68.4%
Common 103
 
21.0%
Latin 52
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 40
 
11.9%
트 24
 
7.1%
아 24
 
7.1%
신 20
 
6.0%
레 19
 
5.7%
온 19
 
5.7%
촌 19
 
5.7%
스 11
 
3.3%
제 9
 
2.7%
장 9
 
2.7%
Other values (39) 142
42.3%
Common
ValueCountFrequency (%)
41
39.8%
2 8
 
7.8%
( 8
 
7.8%
) 8
 
7.8%
1 8
 
7.8%
6 4
 
3.9%
5 4
 
3.9%
7 4
 
3.9%
4 3
 
2.9%
8 3
 
2.9%
Other values (7) 12
 
11.7%
Latin
ValueCountFrequency (%)
C 13
25.0%
G 11
21.2%
V 11
21.2%
O 4
 
7.7%
R 2
 
3.8%
B 2
 
3.8%
K 2
 
3.8%
T 2
 
3.8%
F 2
 
3.8%
M 2
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 336
68.4%
ASCII 155
31.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
26.5%
C 13
 
8.4%
G 11
 
7.1%
V 11
 
7.1%
2 8
 
5.2%
( 8
 
5.2%
) 8
 
5.2%
1 8
 
5.2%
6 4
 
2.6%
5 4
 
2.6%
Other values (18) 39
25.2%
Hangul
ValueCountFrequency (%)
관 40
 
11.9%
트 24
 
7.1%
아 24
 
7.1%
신 20
 
6.0%
레 19
 
5.7%
온 19
 
5.7%
촌 19
 
5.7%
스 11
 
3.3%
제 9
 
2.7%
장 9
 
2.7%
Other values (39) 142
42.3%

최종수정일자
Date

Distinct40
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2003-02-07 11:05:59
Maximum2024-02-20 12:11:57
2024-05-11T15:07:51.182185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:51.409351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
I
23 
U
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 23
52.3%
U 21
47.7%

Length

2024-05-11T15:07:51.681722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:51.893463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 23
52.3%
u 21
47.7%

데이터갱신일자
Categorical

Distinct8
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size484.0 B
2018-08-31 23:59:59.0
23 
2023-12-01 22:02:00.0
8 
2021-04-25 02:40:00.0
6 
2021-12-04 00:01:00.0
 
2
2021-11-01 21:00:00.0
 
2
Other values (3)
3 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique3 ?
Unique (%)6.8%

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 23
52.3%
2023-12-01 22:02:00.0 8
 
18.2%
2021-04-25 02:40:00.0 6
 
13.6%
2021-12-04 00:01:00.0 2
 
4.5%
2021-11-01 21:00:00.0 2
 
4.5%
2023-12-01 23:08:00.0 1
 
2.3%
2021-04-28 02:40:00.0 1
 
2.3%
2022-12-08 22:09:00.0 1
 
2.3%

Length

2024-05-11T15:07:52.106173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:52.313027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 23
26.1%
23:59:59.0 23
26.1%
2023-12-01 9
 
10.2%
22:02:00.0 8
 
9.1%
02:40:00.0 7
 
8.0%
2021-04-25 6
 
6.8%
2021-12-04 2
 
2.3%
00:01:00.0 2
 
2.3%
2021-11-01 2
 
2.3%
21:00:00.0 2
 
2.3%
Other values (4) 4
 
4.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)23.3%
Missing1
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean194767.24
Minimum193828.44
Maximum197062.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T15:07:52.523427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193828.44
5-th percentile194493.8
Q1194649.34
median194649.34
Q3194798.46
95-th percentile195261.83
Maximum197062.41
Range3233.9704
Interquartile range (IQR)149.11442

Descriptive statistics

Standard deviation424.48408
Coefficient of variation (CV)0.002179443
Kurtosis21.067939
Mean194767.24
Median Absolute Deviation (MAD)149.11442
Skewness3.7408319
Sum8374991.1
Variance180186.74
MonotonicityNot monotonic
2024-05-11T15:07:52.704340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
194649.344011611 20
45.5%
194798.458435966 8
 
18.2%
194493.801667964 5
 
11.4%
194929.750810335 2
 
4.5%
195028.400590649 2
 
4.5%
195287.766418517 2
 
4.5%
194855.910937446 1
 
2.3%
194908.961214686 1
 
2.3%
197062.406516 1
 
2.3%
193828.436099762 1
 
2.3%
(Missing) 1
 
2.3%
ValueCountFrequency (%)
193828.436099762 1
 
2.3%
194493.801667964 5
 
11.4%
194649.344011611 20
45.5%
194798.458435966 8
 
18.2%
194855.910937446 1
 
2.3%
194908.961214686 1
 
2.3%
194929.750810335 2
 
4.5%
195028.400590649 2
 
4.5%
195287.766418517 2
 
4.5%
197062.406516 1
 
2.3%
ValueCountFrequency (%)
197062.406516 1
 
2.3%
195287.766418517 2
 
4.5%
195028.400590649 2
 
4.5%
194929.750810335 2
 
4.5%
194908.961214686 1
 
2.3%
194855.910937446 1
 
2.3%
194798.458435966 8
 
18.2%
194649.344011611 20
45.5%
194493.801667964 5
 
11.4%
193828.436099762 1
 
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)23.3%
Missing1
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean450665.92
Minimum450414.72
Maximum451739.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T15:07:52.907159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450414.72
5-th percentile450414.72
Q1450478.35
median450478.35
Q3450837.05
95-th percentile451317.91
Maximum451739.32
Range1324.5925
Interquartile range (IQR)358.69954

Descriptive statistics

Standard deviation322.23234
Coefficient of variation (CV)0.00071501377
Kurtosis2.3617786
Mean450665.92
Median Absolute Deviation (MAD)36.338758
Skewness1.703825
Sum19378634
Variance103833.68
MonotonicityNot monotonic
2024-05-11T15:07:53.402154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
450478.352188795 20
45.5%
450837.051726331 8
 
18.2%
450414.724902658 5
 
11.4%
450514.690947083 2
 
4.5%
451317.909486649 2
 
4.5%
451143.789306014 2
 
4.5%
450573.690449065 1
 
2.3%
450597.757522205 1
 
2.3%
451739.317426 1
 
2.3%
451433.789634245 1
 
2.3%
(Missing) 1
 
2.3%
ValueCountFrequency (%)
450414.724902658 5
 
11.4%
450478.352188795 20
45.5%
450514.690947083 2
 
4.5%
450573.690449065 1
 
2.3%
450597.757522205 1
 
2.3%
450837.051726331 8
 
18.2%
451143.789306014 2
 
4.5%
451317.909486649 2
 
4.5%
451433.789634245 1
 
2.3%
451739.317426 1
 
2.3%
ValueCountFrequency (%)
451739.317426 1
 
2.3%
451433.789634245 1
 
2.3%
451317.909486649 2
 
4.5%
451143.789306014 2
 
4.5%
450837.051726331 8
 
18.2%
450597.757522205 1
 
2.3%
450573.690449065 1
 
2.3%
450514.690947083 2
 
4.5%
450478.352188795 20
45.5%
450414.724902658 5
 
11.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
영화상영관
30 
<NA>
14 

Length

Max length5
Median length5
Mean length4.6818182
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 30
68.2%
<NA> 14
31.8%

Length

2024-05-11T15:07:53.607810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:53.808916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 30
68.2%
na 14
31.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
영화상영관
23 
<NA>
21 

Length

Max length5
Median length5
Mean length4.5227273
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 23
52.3%
<NA> 21
47.7%

Length

2024-05-11T15:07:54.071440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:54.264943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 23
52.3%
na 21
47.7%

총층수
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
24 
19
9 
12
5 
0
4 
7
 
2

Length

Max length4
Median length4
Mean length2.9545455
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 24
54.5%
19 9
 
20.5%
12 5
 
11.4%
0 4
 
9.1%
7 2
 
4.5%

Length

2024-05-11T15:07:54.440292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:54.629756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
54.5%
19 9
 
20.5%
12 5
 
11.4%
0 4
 
9.1%
7 2
 
4.5%

주변환경명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
35 
유흥업소밀집지역
9 

Length

Max length8
Median length4
Mean length4.8181818
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> 35
79.5%
유흥업소밀집지역 9
 
20.5%

Length

2024-05-11T15:07:54.799292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:54.963280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
79.5%
유흥업소밀집지역 9
 
20.5%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

시설면적
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
39 
0
5 

Length

Max length4
Median length4
Mean length3.6590909
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
88.6%
0 5
 
11.4%

Length

2024-05-11T15:07:55.097703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:55.253661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
88.6%
0 5
 
11.4%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)28.6%
Missing23
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean9.3333333
Minimum0
Maximum15
Zeros3
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T15:07:55.357142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q315
95-th percentile15
Maximum15
Range15
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.0937126
Coefficient of variation (CV)0.65289778
Kurtosis-1.3816941
Mean9.3333333
Median Absolute Deviation (MAD)5
Skewness-0.54912593
Sum196
Variance37.133333
MonotonicityNot monotonic
2024-05-11T15:07:55.480856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
15 9
 
20.5%
10 5
 
11.4%
0 3
 
6.8%
1 2
 
4.5%
6 1
 
2.3%
3 1
 
2.3%
(Missing) 23
52.3%
ValueCountFrequency (%)
0 3
 
6.8%
1 2
 
4.5%
3 1
 
2.3%
6 1
 
2.3%
10 5
11.4%
15 9
20.5%
ValueCountFrequency (%)
15 9
20.5%
10 5
11.4%
6 1
 
2.3%
3 1
 
2.3%
1 2
 
4.5%
0 3
 
6.8%

지하층수
Categorical

Distinct5
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
24 
4
9 
2
5 
0
4 
6
 
2

Length

Max length4
Median length4
Mean length2.6363636
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 24
54.5%
4 9
 
20.5%
2 5
 
11.4%
0 4
 
9.1%
6 2
 
4.5%

Length

2024-05-11T15:07:55.647903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:55.817888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
54.5%
4 9
 
20.5%
2 5
 
11.4%
0 4
 
9.1%
6 2
 
4.5%

건물용도명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
32 
문화시설
12 

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> 32
72.7%
문화시설 12
 
27.3%

Length

2024-05-11T15:07:55.995123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:56.119379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
72.7%
문화시설 12
 
27.3%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

공연장형태구분명
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
영화관
25 
<NA>
19 

Length

Max length4
Median length3
Mean length3.4318182
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 25
56.8%
<NA> 19
43.2%

Length

2024-05-11T15:07:56.353719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:56.543263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 25
56.8%
na 19
43.2%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)100.0%
Memory size528.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)53.3%
Missing14
Missing (%)31.8%
Infinite0
Infinite (%)0.0%
Mean20015069
Minimum19580121
Maximum20180515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-05-11T15:07:56.706075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19580121
5-th percentile19880053
Q119983558
median20030820
Q320080731
95-th percentile20130618
Maximum20180515
Range600394
Interquartile range (IQR)97172.5

Descriptive statistics

Standard deviation114476.49
Coefficient of variation (CV)0.0057195151
Kurtosis6.2201124
Mean20015069
Median Absolute Deviation (MAD)49911
Skewness-1.8815047
Sum6.0045206 × 108
Variance1.3104866 × 1010
MonotonicityIncreasing
2024-05-11T15:07:56.901482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20030820 9
20.5%
20130618 6
13.6%
20080731 2
 
4.5%
20010625 1
 
2.3%
20180515 1
 
2.3%
20010709 1
 
2.3%
20010630 1
 
2.3%
19580121 1
 
2.3%
19870926 1
 
2.3%
19981203 1
 
2.3%
Other values (6) 6
13.6%
(Missing) 14
31.8%
ValueCountFrequency (%)
19580121 1
2.3%
19870926 1
2.3%
19891208 1
2.3%
19900608 1
2.3%
19901205 1
2.3%
19940208 1
2.3%
19960925 1
2.3%
19981203 1
2.3%
19990625 1
2.3%
20010625 1
2.3%
ValueCountFrequency (%)
20180515 1
 
2.3%
20130618 6
13.6%
20080731 2
 
4.5%
20030820 9
20.5%
20010709 1
 
2.3%
20010630 1
 
2.3%
20010625 1
 
2.3%
19990625 1
 
2.3%
19981203 1
 
2.3%
19960925 1
 
2.3%

지역구분명
Categorical

Distinct3
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size484.0 B
<NA>
33 
일반상업지역
9 
일반주거지역
 
2

Length

Max length6
Median length4
Mean length4.5
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> 33
75.0%
일반상업지역 9
 
20.5%
일반주거지역 2
 
4.5%

Length

2024-05-11T15:07:57.089966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:57.232879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
75.0%
일반상업지역 9
 
20.5%
일반주거지역 2
 
4.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03120000CDFF422000195800000119580121<NA>3폐업3폐업20001101<NA><NA><NA><NA><NA>120833서울특별시 서대문구 창천동 20-25번지서울특별시 서대문구 신촌로 129 (창천동)<NA>신영극장2003-02-07 11:05:59I2018-08-31 23:59:59.0<NA>194649.344012450478.352189영화상영관영화상영관<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19580121<NA>
13120000CDFF422000198700000119870926<NA>3폐업3폐업20010315<NA><NA><NA><NA><NA>120803서울특별시 서대문구 남가좌동 158-11번지 (지층)<NA><NA>모래내비디오소극장2003-02-07 11:05:59I2018-08-31 23:59:59.0<NA><NA><NA>영화상영관영화상영관0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19870926<NA>
23120000CDFF422000198900000119891208<NA>3폐업3폐업20020401<NA><NA><NA><NA><NA>120809서울특별시 서대문구 대현동 104-5번지 6층서울특별시 서대문구 신촌역로 7 (대현동,6층)<NA>신촌아트홀2003-02-07 11:05:59I2018-08-31 23:59:59.0<NA>194855.910937450573.690449영화상영관영화상영관0<NA><NA>060<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19891208<NA>
33120000CDFF422000199000000119900608<NA>3폐업3폐업20011110<NA><NA><NA><NA><NA>120809서울특별시 서대문구 대현동 101-17번지 25 (5층)서울특별시 서대문구 신촌로 155 (대현동,25 (5층))<NA>이화예술극장 2관2003-02-07 11:05:59I2018-08-31 23:59:59.0<NA>194929.75081450514.690947영화상영관영화상영관0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19900608<NA>
43120000CDFF422000199000000219901205<NA>3폐업3폐업20011110<NA><NA><NA><NA><NA>120809서울특별시 서대문구 대현동 101-17번지 25 (5층)서울특별시 서대문구 신촌로 155 (대현동,25 (5층))<NA>이화예술극장 1관2003-02-07 11:05:59I2018-08-31 23:59:59.0<NA>194929.75081450514.690947영화상영관영화상영관0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19901205<NA>
53120000CDFF422000199400000119940208<NA>3폐업3폐업20051004<NA><NA><NA><NA><NA>120833서울특별시 서대문구 창천동 29-80번지 (지하1층) 29동 80호서울특별시 서대문구 신촌로 113, 29동 80호 (창천동,(지하1층))<NA>녹색극장1관2005-10-07 17:13:44I2018-08-31 23:59:59.0<NA>194493.801668450414.724903영화상영관영화상영관12<NA><NA><NA>102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19940208<NA>
63120000CDFF422000199600000219960925<NA>3폐업3폐업20030922<NA><NA><NA><NA><NA>120809서울특별시 서대문구 대현동 101-7번지 5층서울특별시 서대문구 신촌역로 10 (대현동,5층)<NA>영화마당2관2003-10-10 11:13:31I2018-08-31 23:59:59.0<NA>194908.961215450597.757522영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19960925<NA>
73120000CDFF422000199800000119981203<NA>3폐업3폐업20051004<NA><NA><NA><NA><NA>120833서울특별시 서대문구 창천동 29-80번지 10층서울특별시 서대문구 신촌로 113 (창천동,10층)<NA>녹색극장6관2005-10-07 17:10:35I2018-08-31 23:59:59.0<NA>194493.801668450414.724903영화상영관영화상영관12<NA><NA><NA>102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19981203<NA>
83120000CDFF422000199900000219990625<NA>3폐업3폐업20051004<NA><NA><NA><NA><NA>120833서울특별시 서대문구 창천동 29-80번지 9층서울특별시 서대문구 신촌로 113 (창천동,9층)<NA>녹색극장5관2005-10-07 17:11:33I2018-08-31 23:59:59.0<NA>194493.801668450414.724903영화상영관영화상영관12<NA><NA><NA>102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19990625<NA>
93120000CDFF422000200100000220010625<NA>3폐업3폐업20051004<NA><NA><NA><NA><NA>120833서울특별시 서대문구 창천동 29-80번지 4층서울특별시 서대문구 신촌로 113 (창천동,4층)<NA>녹색극장2관2005-10-07 17:12:39I2018-08-31 23:59:59.0<NA>194493.801668450414.724903영화상영관영화상영관12<NA><NA><NA>102<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20010625<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
343120000CDFF422000201300000220130618<NA>1영업/정상13영업중<NA><NA><NA><NA>02-373-2995<NA><NA>서울특별시 서대문구 창천동 20-25서울특별시 서대문구 신촌로 129, 3층 (창천동, 아트레온)3780CGV신촌아트레온 2관2021-04-23 17:57:25U2021-04-25 02:40:00.0<NA>194649.344012450478.352189영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20130618<NA>
353120000CDFF422000201300000320130618<NA>1영업/정상13영업중<NA><NA><NA><NA>02-373-2995<NA><NA>서울특별시 서대문구 창천동 20-25서울특별시 서대문구 신촌로 129, 5층 (창천동, 아트레온)3780CGV신촌아트레온 3관2021-04-23 17:57:36U2021-04-25 02:40:00.0<NA>194649.344012450478.352189영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20130618<NA>
363120000CDFF422000201300000420130618<NA>1영업/정상13영업중<NA><NA><NA><NA>02-373-2995<NA><NA>서울특별시 서대문구 창천동 20-25서울특별시 서대문구 신촌로 129, 7층 (창천동, 아트레온)3780CGV신촌아트레온 4관2021-04-23 17:57:45U2021-04-25 02:40:00.0<NA>194649.344012450478.352189영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20130618<NA>
373120000CDFF422000201300000520130618<NA>1영업/정상13영업중<NA><NA><NA><NA>02-373-2995<NA><NA>서울특별시 서대문구 창천동 20-25서울특별시 서대문구 신촌로 129, 7층 (창천동, 아트레온)3780CGV신촌아트레온 5관2021-04-23 17:57:54U2021-04-25 02:40:00.0<NA>194649.344012450478.352189영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20130618<NA>
383120000CDFF422000201300000620130618<NA>1영업/정상13영업중<NA><NA><NA><NA>02-373-2995<NA><NA>서울특별시 서대문구 창천동 20-25서울특별시 서대문구 신촌로 129, 9층 (창천동, 아트레온)3780CGV신촌아트레온 6관2021-04-23 17:58:04U2021-04-25 02:40:00.0<NA>194649.344012450478.352189영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20130618<NA>
393120000CDFF422000201300000720130618<NA>1영업/정상13영업중<NA><NA><NA><NA>02-373-2995<NA><NA>서울특별시 서대문구 창천동 20-25서울특별시 서대문구 신촌로 129, 9층 (창천동, 아트레온)3780CGV신촌아트레온 7관2021-04-23 17:58:14U2021-04-25 02:40:00.0<NA>194649.344012450478.352189영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20130618<NA>
403120000CDFF422000201300000820130618<NA>3폐업3폐업20221203<NA><NA><NA>02-373-2995<NA><NA>서울특별시 서대문구 창천동 20-25서울특별시 서대문구 신촌로 129, 11층 (창천동, 아트레온)3780CGV신촌아트레온 8관2022-12-28 21:32:23U2021-11-01 21:00:00.0<NA>194649.344012450478.352189<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>
413120000CDFF422000201300000920130618<NA>3폐업3폐업20221203<NA><NA><NA>02-373-2995<NA><NA>서울특별시 서대문구 창천동 20-25서울특별시 서대문구 신촌로 129, 11층 (창천동, 아트레온)3780CGV신촌아트레온 9관2022-12-28 21:36:22U2021-11-01 21:00:00.0<NA>194649.344012450478.352189<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>
423120000CDFF422000201800000120180515<NA>1영업/정상13영업중<NA><NA><NA><NA>02-373-2995<NA><NA>서울특별시 서대문구 창천동 20-25 아트레온서울특별시 서대문구 신촌로 129, 아트레온 지하1층 (창천동)3780CGV신촌아트레온 10관[CGV아트하우스]2021-04-26 11:03:39U2021-04-28 02:40:00.0<NA>194649.344012450478.352189영화상영관<NA><NA><NA><NA><NA><NA><NA>문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20180515<NA>
433120000CDFF42200020200000012020-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7780-0962<NA><NA>서울특별시 서대문구 연희동 194-25서울특별시 서대문구 연희로8길 18, 지하1층동 (연희동)3726라이카시네마 S관2023-09-27 09:40:09U2022-12-08 22:09:00.0<NA>193828.4361451433.789634<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>