Overview

Dataset statistics

Number of variables56
Number of observations24
Missing cells698
Missing cells (%)51.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory496.5 B

Variable types

Categorical16
Text5
DateTime4
Unsupported27
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17698/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 24 (100.0%) missing valuesMissing
폐업일자 has 19 (79.2%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 16 (66.7%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
소재지우편번호 has 24 (100.0%) missing valuesMissing
도로명우편번호 has 6 (25.0%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
문화사업자구분명 has 24 (100.0%) missing valuesMissing
주변환경명 has 24 (100.0%) missing valuesMissing
제작취급품목내용 has 24 (100.0%) missing valuesMissing
건물용도명 has 24 (100.0%) missing valuesMissing
비상계단여부 has 24 (100.0%) missing valuesMissing
비상구여부 has 24 (100.0%) missing valuesMissing
자동환기여부 has 24 (100.0%) missing valuesMissing
청소년실여부 has 24 (100.0%) missing valuesMissing
특수조명여부 has 24 (100.0%) missing valuesMissing
방음시설여부 has 24 (100.0%) missing valuesMissing
비디오재생기명 has 24 (100.0%) missing valuesMissing
조명시설유무 has 24 (100.0%) missing valuesMissing
음향시설여부 has 24 (100.0%) missing valuesMissing
편의시설여부 has 24 (100.0%) missing valuesMissing
소방시설여부 has 24 (100.0%) missing valuesMissing
기존게임업외업종명 has 24 (100.0%) missing valuesMissing
제공게임물명 has 24 (100.0%) missing valuesMissing
공연장형태구분명 has 24 (100.0%) missing valuesMissing
품목명 has 24 (100.0%) missing valuesMissing
최초등록시점 has 9 (37.5%) missing valuesMissing
지역구분명 has 24 (100.0%) missing valuesMissing
관리번호 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
소재지우편번호 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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 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
건물용도명 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
공연장형태구분명 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 00:44:20.864258
Analysis finished2024-05-11 00:44:21.978093
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3210000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 24
100.0%

Length

2024-05-11T00:44:22.169938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:22.482548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 24
100.0%

관리번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T00:44:22.970768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters480
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

Unique24 ?
Unique (%)100.0%

Sample

1st rowCDFF5211042007000001
2nd rowCDFF5211042007000003
3rd rowCDFF5211042008000002
4th rowCDFF5211042009000005
5th rowCDFF5211042009000006
ValueCountFrequency (%)
cdff5211042007000001 1
 
4.2%
cdff5211042007000003 1
 
4.2%
cdff5211042023000002 1
 
4.2%
cdff5211042023000001 1
 
4.2%
cdff5211042022000002 1
 
4.2%
cdff5211042022000001 1
 
4.2%
cdff5211042021000004 1
 
4.2%
cdff5211042021000003 1
 
4.2%
cdff5211042021000002 1
 
4.2%
cdff5211042021000001 1
 
4.2%
Other values (14) 14
58.3%
2024-05-11T00:44:23.946103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 176
36.7%
2 68
 
14.2%
1 67
 
14.0%
F 48
 
10.0%
4 27
 
5.6%
5 26
 
5.4%
C 24
 
5.0%
D 24
 
5.0%
8 6
 
1.2%
7 5
 
1.0%
Other values (3) 9
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
80.0%
Uppercase Letter 96
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 176
45.8%
2 68
 
17.7%
1 67
 
17.4%
4 27
 
7.0%
5 26
 
6.8%
8 6
 
1.6%
7 5
 
1.3%
3 5
 
1.3%
9 3
 
0.8%
6 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
80.0%
Latin 96
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 176
45.8%
2 68
 
17.7%
1 67
 
17.4%
4 27
 
7.0%
5 26
 
6.8%
8 6
 
1.6%
7 5
 
1.3%
3 5
 
1.3%
9 3
 
0.8%
6 1
 
0.3%
Latin
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 176
36.7%
2 68
 
14.2%
1 67
 
14.0%
F 48
 
10.0%
4 27
 
5.6%
5 26
 
5.4%
C 24
 
5.0%
D 24
 
5.0%
8 6
 
1.2%
7 5
 
1.0%
Other values (3) 9
 
1.9%
Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2007-01-30 00:00:00
Maximum2024-02-21 00:00:00
2024-05-11T00:44:24.413511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:44:24.868641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B
Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
18 
3
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 18
75.0%
3 3
 
12.5%
5 3
 
12.5%

Length

2024-05-11T00:44:25.303416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:25.663498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 18
75.0%
3 3
 
12.5%
5 3
 
12.5%

영업상태명
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업/정상
18 
폐업
제외/삭제/전출

Length

Max length8
Median length5
Mean length5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 18
75.0%
폐업 3
 
12.5%
제외/삭제/전출 3
 
12.5%

Length

2024-05-11T00:44:26.154760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:26.567753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 18
75.0%
폐업 3
 
12.5%
제외/삭제/전출 3
 
12.5%
Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
13
18 
3
15

Length

Max length2
Median length2
Mean length1.875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 18
75.0%
3 3
 
12.5%
15 3
 
12.5%

Length

2024-05-11T00:44:26.849689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:27.119350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 18
75.0%
3 3
 
12.5%
15 3
 
12.5%
Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업중
18 
폐업
전출

Length

Max length3
Median length3
Mean length2.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 18
75.0%
폐업 3
 
12.5%
전출 3
 
12.5%

Length

2024-05-11T00:44:27.502457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:27.849913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 18
75.0%
폐업 3
 
12.5%
전출 3
 
12.5%

폐업일자
Date

MISSING 

Distinct5
Distinct (%)100.0%
Missing19
Missing (%)79.2%
Memory size324.0 B
Minimum2019-12-30 00:00:00
Maximum2024-02-15 00:00:00
2024-05-11T00:44:28.333823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:44:28.990554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct6
Distinct (%)75.0%
Missing16
Missing (%)66.7%
Memory size324.0 B
2024-05-11T00:44:29.536122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10
Min length9

Characters and Unicode

Total characters80
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)62.5%

Sample

1st row02-553-5881
2nd row025842430
3rd row025842430
4th row025842430
5th row1644-2525
ValueCountFrequency (%)
025842430 3
37.5%
02-553-5881 1
 
12.5%
1644-2525 1
 
12.5%
02-534-1994 1
 
12.5%
02-543-4796 1
 
12.5%
02-866-8055 1
 
12.5%
2024-05-11T00:44:30.687624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 12
15.0%
5 12
15.0%
4 12
15.0%
0 11
13.8%
- 9
11.2%
8 7
8.8%
3 6
7.5%
6 4
 
5.0%
1 3
 
3.8%
9 3
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 71
88.8%
Dash Punctuation 9
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 12
16.9%
5 12
16.9%
4 12
16.9%
0 11
15.5%
8 7
9.9%
3 6
8.5%
6 4
 
5.6%
1 3
 
4.2%
9 3
 
4.2%
7 1
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 80
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 12
15.0%
5 12
15.0%
4 12
15.0%
0 11
13.8%
- 9
11.2%
8 7
8.8%
3 6
7.5%
6 4
 
5.0%
1 3
 
3.8%
9 3
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 80
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 12
15.0%
5 12
15.0%
4 12
15.0%
0 11
13.8%
- 9
11.2%
8 7
8.8%
3 6
7.5%
6 4
 
5.0%
1 3
 
3.8%
9 3
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B
Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T00:44:31.494688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length30
Mean length25.25
Min length18

Characters and Unicode

Total characters606
Distinct characters74
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

Unique17 ?
Unique (%)70.8%

Sample

1st row서울특별시 서초구 양재동 202번지 서울교육문화회관 2층
2nd row서울특별시 서초구 방배동 852-22번지 단우빌딩
3rd row서울특별시 서초구 양재동 202번지 서울교육문화회관 대극장
4th row서울특별시 서초구 잠원동 25-24번지 토성빌딩 3층 21호
5th row서울특별시 서초구 양재동 315-6번지
ValueCountFrequency (%)
서울특별시 24
20.7%
서초구 24
20.7%
잠원동 8
 
6.9%
서초동 8
 
6.9%
양재동 4
 
3.4%
g5센트럴프라자 3
 
2.6%
1685-8 3
 
2.6%
방배동 3
 
2.6%
금원빌딩 2
 
1.7%
18-18 2
 
1.7%
Other values (31) 35
30.2%
2024-05-11T00:44:32.584400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
107
17.7%
58
 
9.6%
32
 
5.3%
1 29
 
4.8%
26
 
4.3%
24
 
4.0%
24
 
4.0%
24
 
4.0%
24
 
4.0%
24
 
4.0%
Other values (64) 234
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 368
60.7%
Space Separator 107
 
17.7%
Decimal Number 106
 
17.5%
Dash Punctuation 18
 
3.0%
Uppercase Letter 5
 
0.8%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
15.8%
32
 
8.7%
26
 
7.1%
24
 
6.5%
24
 
6.5%
24
 
6.5%
24
 
6.5%
24
 
6.5%
10
 
2.7%
9
 
2.4%
Other values (47) 113
30.7%
Decimal Number
ValueCountFrequency (%)
1 29
27.4%
2 22
20.8%
8 16
15.1%
5 11
 
10.4%
3 7
 
6.6%
6 7
 
6.6%
7 4
 
3.8%
0 4
 
3.8%
9 3
 
2.8%
4 3
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
G 3
60.0%
J 1
 
20.0%
C 1
 
20.0%
Space Separator
ValueCountFrequency (%)
107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 368
60.7%
Common 233
38.4%
Latin 5
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
15.8%
32
 
8.7%
26
 
7.1%
24
 
6.5%
24
 
6.5%
24
 
6.5%
24
 
6.5%
24
 
6.5%
10
 
2.7%
9
 
2.4%
Other values (47) 113
30.7%
Common
ValueCountFrequency (%)
107
45.9%
1 29
 
12.4%
2 22
 
9.4%
- 18
 
7.7%
8 16
 
6.9%
5 11
 
4.7%
3 7
 
3.0%
6 7
 
3.0%
7 4
 
1.7%
0 4
 
1.7%
Other values (4) 8
 
3.4%
Latin
ValueCountFrequency (%)
G 3
60.0%
J 1
 
20.0%
C 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 368
60.7%
ASCII 238
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
107
45.0%
1 29
 
12.2%
2 22
 
9.2%
- 18
 
7.6%
8 16
 
6.7%
5 11
 
4.6%
3 7
 
2.9%
6 7
 
2.9%
7 4
 
1.7%
0 4
 
1.7%
Other values (7) 13
 
5.5%
Hangul
ValueCountFrequency (%)
58
15.8%
32
 
8.7%
26
 
7.1%
24
 
6.5%
24
 
6.5%
24
 
6.5%
24
 
6.5%
24
 
6.5%
10
 
2.7%
9
 
2.4%
Other values (47) 113
30.7%
Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T00:44:33.355451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length37
Mean length34.791667
Min length25

Characters and Unicode

Total characters835
Distinct characters94
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

Unique19 ?
Unique (%)79.2%

Sample

1st row서울특별시 서초구 바우뫼로12길 70 (양재동,서울교육문화회관 2층)
2nd row서울특별시 서초구 방배로 181 (방배동,단우빌딩)
3rd row서울특별시 서초구 바우뫼로12길 70 (양재동,서울교육문화회관 대극장)
4th row서울특별시 서초구 강남대로95길 38 (잠원동,토성빌딩 3층 21호)
5th row서울특별시 서초구 강남대로16길 3 (양재동)
ValueCountFrequency (%)
서울특별시 24
 
15.5%
서초구 24
 
15.5%
서초동 8
 
5.2%
잠원동 7
 
4.5%
3층 5
 
3.2%
2층 4
 
2.6%
서초중앙로24길 3
 
1.9%
27 3
 
1.9%
g5센트럴프라자 3
 
1.9%
323호 3
 
1.9%
Other values (59) 71
45.8%
2024-05-11T00:44:34.819310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
16.4%
62
 
7.4%
36
 
4.3%
26
 
3.1%
25
 
3.0%
( 25
 
3.0%
) 25
 
3.0%
25
 
3.0%
24
 
2.9%
1 24
 
2.9%
Other values (84) 426
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 487
58.3%
Space Separator 137
 
16.4%
Decimal Number 130
 
15.6%
Open Punctuation 25
 
3.0%
Close Punctuation 25
 
3.0%
Other Punctuation 24
 
2.9%
Uppercase Letter 5
 
0.6%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
 
12.7%
36
 
7.4%
26
 
5.3%
25
 
5.1%
25
 
5.1%
24
 
4.9%
24
 
4.9%
24
 
4.9%
23
 
4.7%
16
 
3.3%
Other values (66) 202
41.5%
Decimal Number
ValueCountFrequency (%)
1 24
18.5%
3 23
17.7%
2 21
16.2%
0 13
10.0%
5 11
8.5%
7 11
8.5%
6 10
7.7%
4 9
 
6.9%
8 4
 
3.1%
9 4
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
G 3
60.0%
J 1
 
20.0%
C 1
 
20.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 487
58.3%
Common 343
41.1%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
62
 
12.7%
36
 
7.4%
26
 
5.3%
25
 
5.1%
25
 
5.1%
24
 
4.9%
24
 
4.9%
24
 
4.9%
23
 
4.7%
16
 
3.3%
Other values (66) 202
41.5%
Common
ValueCountFrequency (%)
137
39.9%
( 25
 
7.3%
) 25
 
7.3%
1 24
 
7.0%
, 24
 
7.0%
3 23
 
6.7%
2 21
 
6.1%
0 13
 
3.8%
5 11
 
3.2%
7 11
 
3.2%
Other values (5) 29
 
8.5%
Latin
ValueCountFrequency (%)
G 3
60.0%
J 1
 
20.0%
C 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 487
58.3%
ASCII 348
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
39.4%
( 25
 
7.2%
) 25
 
7.2%
1 24
 
6.9%
, 24
 
6.9%
3 23
 
6.6%
2 21
 
6.0%
0 13
 
3.7%
5 11
 
3.2%
7 11
 
3.2%
Other values (8) 34
 
9.8%
Hangul
ValueCountFrequency (%)
62
 
12.7%
36
 
7.4%
26
 
5.3%
25
 
5.1%
25
 
5.1%
24
 
4.9%
24
 
4.9%
24
 
4.9%
23
 
4.7%
16
 
3.3%
Other values (66) 202
41.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)66.7%
Missing6
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean6616.1667
Minimum6524
Maximum6793
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T00:44:35.405558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6524
5-th percentile6524
Q16527
median6601
Q36645.75
95-th percentile6777.7
Maximum6793
Range269
Interquartile range (IQR)118.75

Descriptive statistics

Standard deviation92.984028
Coefficient of variation (CV)0.014054064
Kurtosis-0.61063041
Mean6616.1667
Median Absolute Deviation (MAD)74
Skewness0.78037846
Sum119091
Variance8646.0294
MonotonicityNot monotonic
2024-05-11T00:44:35.930073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
6524 4
16.7%
6601 3
12.5%
6527 2
 
8.3%
6793 1
 
4.2%
6652 1
 
4.2%
6761 1
 
4.2%
6627 1
 
4.2%
6556 1
 
4.2%
6621 1
 
4.2%
6619 1
 
4.2%
Other values (2) 2
 
8.3%
(Missing) 6
25.0%
ValueCountFrequency (%)
6524 4
16.7%
6527 2
8.3%
6556 1
 
4.2%
6601 3
12.5%
6619 1
 
4.2%
6621 1
 
4.2%
6627 1
 
4.2%
6652 1
 
4.2%
6734 1
 
4.2%
6761 1
 
4.2%
ValueCountFrequency (%)
6793 1
 
4.2%
6775 1
 
4.2%
6761 1
 
4.2%
6734 1
 
4.2%
6652 1
 
4.2%
6627 1
 
4.2%
6621 1
 
4.2%
6619 1
 
4.2%
6601 3
12.5%
6556 1
 
4.2%
Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-05-11T00:44:36.446573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9.5
Mean length8.2916667
Min length4

Characters and Unicode

Total characters199
Distinct characters87
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row한엔터테인먼트
2nd row㈜나우콤
3rd row월광 엔터테인먼트
4th row㈜씨네익스프레스
5th row㈜아산엠인터내셔널
ValueCountFrequency (%)
주식회사 5
 
15.2%
주)플필 2
 
6.1%
한엔터테인먼트 1
 
3.0%
클래퍼보드 1
 
3.0%
1
 
3.0%
주)허그아이엔티엘 1
 
3.0%
코탑미디어 1
 
3.0%
필름 1
 
3.0%
이성수 1
 
3.0%
주)키노라이츠 1
 
3.0%
Other values (18) 18
54.5%
2024-05-11T00:44:37.437978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
8.5%
( 12
 
6.0%
) 12
 
6.0%
10
 
5.0%
9
 
4.5%
6
 
3.0%
6
 
3.0%
5
 
2.5%
5
 
2.5%
5
 
2.5%
Other values (77) 112
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
81.9%
Open Punctuation 12
 
6.0%
Close Punctuation 12
 
6.0%
Space Separator 9
 
4.5%
Other Symbol 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
10.4%
10
 
6.1%
6
 
3.7%
6
 
3.7%
5
 
3.1%
5
 
3.1%
5
 
3.1%
5
 
3.1%
4
 
2.5%
4
 
2.5%
Other values (73) 96
58.9%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Symbol
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166
83.4%
Common 33
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
10.2%
10
 
6.0%
6
 
3.6%
6
 
3.6%
5
 
3.0%
5
 
3.0%
5
 
3.0%
5
 
3.0%
4
 
2.4%
4
 
2.4%
Other values (74) 99
59.6%
Common
ValueCountFrequency (%)
( 12
36.4%
) 12
36.4%
9
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
81.9%
ASCII 33
 
16.6%
None 3
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
17
 
10.4%
10
 
6.1%
6
 
3.7%
6
 
3.7%
5
 
3.1%
5
 
3.1%
5
 
3.1%
5
 
3.1%
4
 
2.5%
4
 
2.5%
Other values (73) 96
58.9%
ASCII
ValueCountFrequency (%)
( 12
36.4%
) 12
36.4%
9
27.3%
None
ValueCountFrequency (%)
3
100.0%
Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2010-04-28 15:47:43
Maximum2024-02-21 14:18:01
2024-05-11T00:44:38.110994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:44:38.547138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
I
16 
U

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 16
66.7%
U 8
33.3%

Length

2024-05-11T00:44:39.038844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:39.449353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 16
66.7%
u 8
33.3%
Distinct13
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 23:07:00
2024-05-11T00:44:39.765125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:44:40.226142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201716.55
Minimum198702.56
Maximum204418.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T00:44:40.773118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198702.56
5-th percentile198893.13
Q1201386.34
median201539.77
Q3202499.96
95-th percentile203832.76
Maximum204418.84
Range5716.2718
Interquartile range (IQR)1113.6262

Descriptive statistics

Standard deviation1385.5246
Coefficient of variation (CV)0.006868671
Kurtosis0.84822407
Mean201716.55
Median Absolute Deviation (MAD)539.92023
Skewness-0.50095397
Sum4841197.2
Variance1919678.5
MonotonicityNot monotonic
2024-05-11T00:44:41.306103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
201386.338220173 3
 
12.5%
202833.261653939 2
 
8.3%
201453.155875725 2
 
8.3%
201537.649482881 2
 
8.3%
202403.66 1
 
4.2%
202608.279007138 1
 
4.2%
203909.115 1
 
4.2%
201541.893869422 1
 
4.2%
201584.921930686 1
 
4.2%
202103.696247363 1
 
4.2%
Other values (9) 9
37.5%
ValueCountFrequency (%)
198702.564835484 1
 
4.2%
198836.324746887 1
 
4.2%
199215.033287117 1
 
4.2%
201023.855780985 1
 
4.2%
201386.338220173 3
12.5%
201453.155875725 2
8.3%
201513.599947924 1
 
4.2%
201537.649482881 2
8.3%
201541.893869422 1
 
4.2%
201584.921930686 1
 
4.2%
ValueCountFrequency (%)
204418.836684211 1
4.2%
203909.115 1
4.2%
203400.095409292 1
4.2%
202833.261653939 2
8.3%
202608.279007138 1
4.2%
202463.85950988 1
4.2%
202403.66 1
4.2%
202103.696247363 1
4.2%
201664.358564847 1
4.2%
201584.921930686 1
4.2%

좌표정보(Y)
Real number (ℝ)

Distinct19
Distinct (%)79.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443573.19
Minimum439958.44
Maximum446150.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T00:44:41.873721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439958.44
5-th percentile440511.56
Q1442273.85
median443689.08
Q3445752.99
95-th percentile446137.55
Maximum446150.22
Range6191.7732
Interquartile range (IQR)3479.1339

Descriptive statistics

Standard deviation2070.3297
Coefficient of variation (CV)0.0046673914
Kurtosis-1.1650738
Mean443573.19
Median Absolute Deviation (MAD)2104.7875
Skewness-0.2482853
Sum10645757
Variance4286265.1
MonotonicityNot monotonic
2024-05-11T00:44:42.334386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
443689.075119969 3
 
12.5%
440511.561175378 2
 
8.3%
445881.581774331 2
 
8.3%
446150.216745339 2
 
8.3%
443766.244999999 1
 
4.2%
442531.620416459 1
 
4.2%
441500.545 1
 
4.2%
446065.753966473 1
 
4.2%
446059.150617924 1
 
4.2%
443834.981395661 1
 
4.2%
Other values (9) 9
37.5%
ValueCountFrequency (%)
439958.443578701 1
4.2%
440511.561175378 2
8.3%
440753.993971457 1
4.2%
440973.983257815 1
4.2%
441500.545 1
4.2%
442531.620416459 1
4.2%
442684.797528361 1
4.2%
443038.055992861 1
4.2%
443356.365859457 1
4.2%
443672.060220404 1
4.2%
ValueCountFrequency (%)
446150.216745339 2
8.3%
446065.753966473 1
 
4.2%
446059.150617924 1
 
4.2%
445881.581774331 2
8.3%
445710.120020179 1
 
4.2%
445696.57948085 1
 
4.2%
443834.981395661 1
 
4.2%
443766.244999999 1
 
4.2%
443689.075119969 3
12.5%
443672.060220404 1
 
4.2%
Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
영화상영업
15 
<NA>

Length

Max length5
Median length5
Mean length4.625
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 15
62.5%
<NA> 9
37.5%

Length

2024-05-11T00:44:42.928364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:43.451521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 15
62.5%
na 9
37.5%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총층수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
15 
0

Length

Max length4
Median length4
Mean length2.875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
62.5%
0 9
37.5%

Length

2024-05-11T00:44:43.957428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:44.266790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
62.5%
0 9
37.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

시설면적
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
15 
0

Length

Max length4
Median length4
Mean length2.875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
62.5%
0 9
37.5%

Length

2024-05-11T00:44:44.655257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:44.985554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
62.5%
0 9
37.5%

지상층수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
15 
0

Length

Max length4
Median length4
Mean length2.875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
62.5%
0 9
37.5%

Length

2024-05-11T00:44:45.379521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:45.901399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
62.5%
0 9
37.5%

지하층수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
15 
0

Length

Max length4
Median length4
Mean length2.875
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 15
62.5%
0 9
37.5%

Length

2024-05-11T00:44:46.618422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:47.119090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 15
62.5%
0 9
37.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

통로너비
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
0

Length

Max length4
Median length4
Mean length3.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
0 3
 
12.5%

Length

2024-05-11T00:44:47.554546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:48.015460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
0 3
 
12.5%
Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
0

Length

Max length4
Median length4
Mean length3.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
0 3
 
12.5%

Length

2024-05-11T00:44:48.352584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:48.826612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
0 3
 
12.5%

노래방실수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
0

Length

Max length4
Median length4
Mean length3.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
0 3
 
12.5%

Length

2024-05-11T00:44:49.344344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:49.710850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
0 3
 
12.5%

청소년실수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
0

Length

Max length4
Median length4
Mean length3.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
0 3
 
12.5%

Length

2024-05-11T00:44:50.112957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:50.493260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
0 3
 
12.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총게임기수
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
21 
0

Length

Max length4
Median length4
Mean length3.625
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 21
87.5%
0 3
 
12.5%

Length

2024-05-11T00:44:51.030500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:44:51.350665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
87.5%
0 3
 
12.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)80.0%
Missing9
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean20147359
Minimum20070130
Maximum20211207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-05-11T00:44:51.646758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070130
5-th percentile20070892
Q120090616
median20170512
Q320190419
95-th percentile20211150
Maximum20211207
Range141077
Interquartile range (IQR)99802.5

Descriptive statistics

Standard deviation56854.233
Coefficient of variation (CV)0.0028219199
Kurtosis-1.8575815
Mean20147359
Median Absolute Deviation (MAD)40614
Skewness-0.30720229
Sum3.0221039 × 108
Variance3.2324039 × 109
MonotonicityIncreasing
2024-05-11T00:44:51.951844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20180723 3
 
12.5%
20211126 2
 
8.3%
20070130 1
 
4.2%
20071218 1
 
4.2%
20080616 1
 
4.2%
20090610 1
 
4.2%
20090623 1
 
4.2%
20090723 1
 
4.2%
20170216 1
 
4.2%
20170512 1
 
4.2%
Other values (2) 2
 
8.3%
(Missing) 9
37.5%
ValueCountFrequency (%)
20070130 1
 
4.2%
20071218 1
 
4.2%
20080616 1
 
4.2%
20090610 1
 
4.2%
20090623 1
 
4.2%
20090723 1
 
4.2%
20170216 1
 
4.2%
20170512 1
 
4.2%
20180723 3
12.5%
20200115 1
 
4.2%
ValueCountFrequency (%)
20211207 1
 
4.2%
20211126 2
8.3%
20200115 1
 
4.2%
20180723 3
12.5%
20170512 1
 
4.2%
20170216 1
 
4.2%
20090723 1
 
4.2%
20090623 1
 
4.2%
20090610 1
 
4.2%
20080616 1
 
4.2%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFF521104200700000120070130<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 202번지 서울교육문화회관 2층서울특별시 서초구 바우뫼로12길 70 (양재동,서울교육문화회관 2층)<NA>한엔터테인먼트2010-04-28 15:47:43I2018-08-31 23:59:59.0<NA>202833.261654440511.561175영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070130<NA>
13210000CDFF521104200700000320071218<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 852-22번지 단우빌딩서울특별시 서초구 방배로 181 (방배동,단우빌딩)<NA>㈜나우콤2010-04-28 15:47:43I2018-08-31 23:59:59.0<NA>199215.033287443038.055993영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20071218<NA>
23210000CDFF521104200800000220080616<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 202번지 서울교육문화회관 대극장서울특별시 서초구 바우뫼로12길 70 (양재동,서울교육문화회관 대극장)<NA>월광 엔터테인먼트2010-04-28 15:47:43I2018-08-31 23:59:59.0<NA>202833.261654440511.561175영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080616<NA>
33210000CDFF521104200900000520090610<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 25-24번지 토성빌딩 3층 21호서울특별시 서초구 강남대로95길 38 (잠원동,토성빌딩 3층 21호)<NA>㈜씨네익스프레스2010-04-28 15:47:43I2018-08-31 23:59:59.0<NA>201513.599948445696.579481영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090610<NA>
43210000CDFF521104200900000620090623<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 315-6번지서울특별시 서초구 강남대로16길 3 (양재동)<NA>㈜아산엠인터내셔널2010-04-28 15:47:43I2018-08-31 23:59:59.0<NA>203400.095409440973.983258영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090623<NA>
53210000CDFF521104200900000720090723<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 28-1번지서울특별시 서초구 강남대로 581 (잠원동)<NA>주식회사 씨티아이에이치2010-04-28 15:47:43I2018-08-31 23:59:59.0<NA>201664.358565445710.12002영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090723<NA>
63210000CDFF521104201700000120170216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 염곡동 180-2번지서울특별시 서초구 염곡말길 9, 3층 (염곡동, 내곡동종합시설)6793함께하는 문화2017-02-16 17:11:25I2018-08-31 23:59:59.0<NA>204418.836684439958.443579영화상영업<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>20170216<NA>
73210000CDFF521104201700000220170512<NA>1영업/정상13영업중<NA><NA><NA><NA>02-553-5881<NA><NA>서울특별시 서초구 서초동 1591-11번지서울특별시 서초구 반포대로16길 30, 7층 (서초동)6652환타월드(주)2017-05-12 16:31:39I2018-08-31 23:59:59.0<NA>201023.855781442684.797528영화상영업<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>20170512<NA>
83210000CDFF521104201800000120180723<NA>3폐업3폐업<NA><NA><NA><NA>025842430<NA><NA>서울특별시 서초구 서초동 1685-8 G5센트럴프라자서울특별시 서초구 서초중앙로24길 27, G5센트럴프라자 323호 (서초동)6601(주)파인스태프2020-11-13 10:15:37U2020-11-17 02:40:00.0<NA>201386.33822443689.07512영화상영업<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>20180723<NA>
93210000CDFF521104201800000220180723<NA>3폐업3폐업20191230<NA><NA><NA>025842430<NA><NA>서울특별시 서초구 서초동 1685-8 G5센트럴프라자서울특별시 서초구 서초중앙로24길 27, G5센트럴프라자 323호 (서초동)6601(주)파인씨앤케이2020-11-13 10:17:15U2020-11-17 02:40:00.0<NA>201386.33822443689.07512영화상영업<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>20180723<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
143210000CDFF52110420200000022020-07-08<NA>5제외/삭제/전출15전출2024-01-03<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1328 홍우빌딩서울특별시 서초구 강남대로 373, 홍우빌딩 10층 102호 (서초동)6621커버넌트픽처스 주식회사2024-01-03 09:39:43U2023-12-01 00:05:00.0<NA>202403.66443766.245<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>
153210000CDFF521104202100000120211126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 8-12 금원빌딩서울특별시 서초구 강남대로105길 12, 금원빌딩 3층 (잠원동)6524(주)아크메2021-11-26 14:01:25I2021-11-28 00:22:43.0<NA>201537.649483446150.216745영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20211126<NA>
163210000CDFF521104202100000220211126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 8-12 금원빌딩서울특별시 서초구 강남대로105길 12, 금원빌딩 3,4,5,6층 (잠원동)6524(주)에이벡스2021-11-26 14:02:17I2021-11-28 00:22:43.0<NA>201537.649483446150.216745영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20211126<NA>
173210000CDFF52110420210000032021-11-29<NA>5제외/삭제/전출15전출2024-02-15<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1321 강남빌딩서울특별시 서초구 서초대로 396, 강남빌딩 3층 319호 (서초동)6619(주)키노라이츠2024-02-15 10:34:54U2023-12-01 23:07:00.0<NA>202103.696247443834.981396<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>
183210000CDFF521104202100000420211207<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 12-20서울특별시 서초구 강남대로101길 16, 2층 (잠원동)6524이성수 필름2021-12-07 09:15:53I2021-12-09 00:22:52.0<NA>201584.921931446059.150618영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20211207<NA>
193210000CDFF52110420220000012020-09-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 11-6서울특별시 서초구 강남대로101안길 2 (잠원동)6524주식회사 코탑미디어2023-06-09 10:15:26U2022-12-05 23:01:00.0<NA>201541.893869446065.753966<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>
203210000CDFF521104202200000220220714<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 279-11 송천빌딩서울특별시 서초구 마방로10길 47, 송천빌딩 3층 (양재동)6775(주)허그아이엔티엘2022-07-14 09:43:21I2021-12-06 23:06:00.0<NA>203909.115441500.545<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>
213210000CDFF52110420230000012023-02-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-543-4796<NA><NA>서울특별시 서초구 잠원동 18-18 신사빌딩서울특별시 서초구 나루터로 66, 신사빌딩 2층 (잠원동)6527(주)플필2023-02-11 19:18:19I2022-12-01 23:03:00.0<NA>201453.155876445881.581774<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>
223210000CDFF52110420230000022023-02-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 18-18 신사빌딩서울특별시 서초구 나루터로 66, 신사빌딩 2층 (잠원동)6527(주)플필2023-02-11 19:27:37I2022-12-01 23:03:00.0<NA>201453.155876445881.581774<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>
233210000CDFF52110420240000012024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-866-8055<NA><NA>서울특별시 서초구 서초동 1364-15서울특별시 서초구 강남대로37길 56-5, 5층 (서초동)6734주식회사 제이콥홀딩스2024-02-21 14:18:01I2023-12-01 22:03:00.0<NA>202608.279007442531.620416<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>