Overview

Dataset statistics

Number of variables56
Number of observations29
Missing cells1077
Missing cells (%)66.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.0 KiB
Average record size in memory495.6 B

Variable types

Categorical8
Text6
DateTime3
Unsupported35
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-17714/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (63.7%)Imbalance
영업상태명 is highly imbalanced (63.7%)Imbalance
상세영업상태코드 is highly imbalanced (63.7%)Imbalance
상세영업상태명 is highly imbalanced (63.7%)Imbalance
소재지우편번호 is highly imbalanced (53.5%)Imbalance
인허가취소일자 has 29 (100.0%) missing valuesMissing
폐업일자 has 26 (89.7%) missing valuesMissing
휴업시작일자 has 29 (100.0%) missing valuesMissing
휴업종료일자 has 29 (100.0%) missing valuesMissing
재개업일자 has 29 (100.0%) missing valuesMissing
전화번호 has 20 (69.0%) missing valuesMissing
소재지면적 has 29 (100.0%) missing valuesMissing
도로명우편번호 has 8 (27.6%) missing valuesMissing
업태구분명 has 29 (100.0%) missing valuesMissing
문화사업자구분명 has 29 (100.0%) missing valuesMissing
총층수 has 29 (100.0%) missing valuesMissing
주변환경명 has 29 (100.0%) missing valuesMissing
제작취급품목내용 has 29 (100.0%) missing valuesMissing
시설면적 has 29 (100.0%) missing valuesMissing
지상층수 has 29 (100.0%) missing valuesMissing
지하층수 has 29 (100.0%) missing valuesMissing
건물용도명 has 29 (100.0%) missing valuesMissing
통로너비 has 29 (100.0%) missing valuesMissing
조명시설조도 has 29 (100.0%) missing valuesMissing
노래방실수 has 29 (100.0%) missing valuesMissing
청소년실수 has 29 (100.0%) missing valuesMissing
비상계단여부 has 29 (100.0%) missing valuesMissing
비상구여부 has 29 (100.0%) missing valuesMissing
자동환기여부 has 29 (100.0%) missing valuesMissing
청소년실여부 has 29 (100.0%) missing valuesMissing
특수조명여부 has 29 (100.0%) missing valuesMissing
방음시설여부 has 29 (100.0%) missing valuesMissing
비디오재생기명 has 29 (100.0%) missing valuesMissing
조명시설유무 has 29 (100.0%) missing valuesMissing
음향시설여부 has 29 (100.0%) missing valuesMissing
편의시설여부 has 29 (100.0%) missing valuesMissing
소방시설여부 has 29 (100.0%) missing valuesMissing
총게임기수 has 29 (100.0%) missing valuesMissing
기존게임업외업종명 has 29 (100.0%) missing valuesMissing
제공게임물명 has 29 (100.0%) missing valuesMissing
공연장형태구분명 has 29 (100.0%) missing valuesMissing
품목명 has 29 (100.0%) missing valuesMissing
최초등록시점 has 8 (27.6%) missing valuesMissing
지역구분명 has 29 (100.0%) 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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 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
시설면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 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
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
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 05:42:23.316991
Analysis finished2024-05-11 05:42:23.878227
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
3120000
29 

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 29
100.0%

Length

2024-05-11T14:42:23.940825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:24.033694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 29
100.0%

관리번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-11T14:42:24.263119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters580
Distinct characters12
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

Unique29 ?
Unique (%)100.0%

Sample

1st rowCDFF5211021996000001
2nd rowCDFF5211021999000001
3rd rowCDFF5211022000000001
4th rowCDFF5211022002000001
5th rowCDFF5211022004000001
ValueCountFrequency (%)
cdff5211021996000001 1
 
3.4%
cdff5211022019000002 1
 
3.4%
cdff5211022023000001 1
 
3.4%
cdff5211022022000002 1
 
3.4%
cdff5211022022000001 1
 
3.4%
cdff5211022020000007 1
 
3.4%
cdff5211022020000006 1
 
3.4%
cdff5211022020000005 1
 
3.4%
cdff5211022020000004 1
 
3.4%
cdff5211022020000003 1
 
3.4%
Other values (19) 19
65.5%
2024-05-11T14:42:24.647579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 214
36.9%
2 107
18.4%
1 87
15.0%
F 58
 
10.0%
5 32
 
5.5%
C 29
 
5.0%
D 29
 
5.0%
9 10
 
1.7%
3 5
 
0.9%
4 4
 
0.7%
Other values (2) 5
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 464
80.0%
Uppercase Letter 116
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 214
46.1%
2 107
23.1%
1 87
18.8%
5 32
 
6.9%
9 10
 
2.2%
3 5
 
1.1%
4 4
 
0.9%
7 3
 
0.6%
6 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 58
50.0%
C 29
25.0%
D 29
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 464
80.0%
Latin 116
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 214
46.1%
2 107
23.1%
1 87
18.8%
5 32
 
6.9%
9 10
 
2.2%
3 5
 
1.1%
4 4
 
0.9%
7 3
 
0.6%
6 2
 
0.4%
Latin
ValueCountFrequency (%)
F 58
50.0%
C 29
25.0%
D 29
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 214
36.9%
2 107
18.4%
1 87
15.0%
F 58
 
10.0%
5 32
 
5.5%
C 29
 
5.0%
D 29
 
5.0%
9 10
 
1.7%
3 5
 
0.9%
4 4
 
0.7%
Other values (2) 5
 
0.9%

인허가일자
Date

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum1996-08-09 00:00:00
Maximum2023-05-18 00:00:00
2024-05-11T14:42:24.822496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:24.973183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
26 
3
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 26
89.7%
3 2
 
6.9%
5 1
 
3.4%

Length

2024-05-11T14:42:25.123566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:25.242958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
89.7%
3 2
 
6.9%
5 1
 
3.4%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
영업/정상
26 
폐업
 
2
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.8965517
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 26
89.7%
폐업 2
 
6.9%
제외/삭제/전출 1
 
3.4%

Length

2024-05-11T14:42:25.380041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:25.521950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 26
89.7%
폐업 2
 
6.9%
제외/삭제/전출 1
 
3.4%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
13
26 
3
 
2
15
 
1

Length

Max length2
Median length2
Mean length1.9310345
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
13 26
89.7%
3 2
 
6.9%
15 1
 
3.4%

Length

2024-05-11T14:42:25.668760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:25.788742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 26
89.7%
3 2
 
6.9%
15 1
 
3.4%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
영업중
26 
폐업
 
2
전출
 
1

Length

Max length3
Median length3
Mean length2.8965517
Min length2

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 26
89.7%
폐업 2
 
6.9%
전출 1
 
3.4%

Length

2024-05-11T14:42:25.944589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:26.057962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 26
89.7%
폐업 2
 
6.9%
전출 1
 
3.4%

폐업일자
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing26
Missing (%)89.7%
Memory size364.0 B
2024-05-11T14:42:26.180421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.3333333
Min length8

Characters and Unicode

Total characters28
Distinct characters7
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

Unique3 ?
Unique (%)100.0%

Sample

1st row20221220
2nd row9999-12-31
3rd row2023-03-14
ValueCountFrequency (%)
20221220 1
33.3%
9999-12-31 1
33.3%
2023-03-14 1
33.3%
2024-05-11T14:42:26.588379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8
28.6%
0 4
14.3%
1 4
14.3%
9 4
14.3%
- 4
14.3%
3 3
 
10.7%
4 1
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
85.7%
Dash Punctuation 4
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8
33.3%
0 4
16.7%
1 4
16.7%
9 4
16.7%
3 3
 
12.5%
4 1
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8
28.6%
0 4
14.3%
1 4
14.3%
9 4
14.3%
- 4
14.3%
3 3
 
10.7%
4 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8
28.6%
0 4
14.3%
1 4
14.3%
9 4
14.3%
- 4
14.3%
3 3
 
10.7%
4 1
 
3.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

전화번호
Text

MISSING 

Distinct8
Distinct (%)88.9%
Missing20
Missing (%)69.0%
Memory size364.0 B
2024-05-11T14:42:26.817824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.444444
Min length8

Characters and Unicode

Total characters94
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

Unique7 ?
Unique (%)77.8%

Sample

1st row2269-2696
2nd row3444-8022
3rd row363-2537
4th row02-722-6056
5th row02-337-3838
ValueCountFrequency (%)
02-337-3838 2
22.2%
2269-2696 1
11.1%
3444-8022 1
11.1%
363-2537 1
11.1%
02-722-6056 1
11.1%
02-365-0225 1
11.1%
02-6351-3242 1
11.1%
02-2272-2945 1
11.1%
2024-05-11T14:42:27.173551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 22
23.4%
- 15
16.0%
3 15
16.0%
0 9
9.6%
6 8
 
8.5%
5 6
 
6.4%
7 5
 
5.3%
8 5
 
5.3%
4 5
 
5.3%
9 3
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79
84.0%
Dash Punctuation 15
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 22
27.8%
3 15
19.0%
0 9
11.4%
6 8
 
10.1%
5 6
 
7.6%
7 5
 
6.3%
8 5
 
6.3%
4 5
 
6.3%
9 3
 
3.8%
1 1
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 94
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 22
23.4%
- 15
16.0%
3 15
16.0%
0 9
9.6%
6 8
 
8.5%
5 6
 
6.4%
7 5
 
5.3%
8 5
 
5.3%
4 5
 
5.3%
9 3
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 94
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 22
23.4%
- 15
16.0%
3 15
16.0%
0 9
9.6%
6 8
 
8.5%
5 6
 
6.4%
7 5
 
5.3%
8 5
 
5.3%
4 5
 
5.3%
9 3
 
3.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Memory size364.0 B
<NA>
23 
120110
 
2
120170
 
1
120160
 
1
120180
 
1

Length

Max length6
Median length4
Mean length4.4137931
Min length4

Unique

Unique4 ?
Unique (%)13.8%

Sample

1st row<NA>
2nd row120170
3rd row120160
4th row120110
5th row120110

Common Values

ValueCountFrequency (%)
<NA> 23
79.3%
120110 2
 
6.9%
120170 1
 
3.4%
120160 1
 
3.4%
120180 1
 
3.4%
120101 1
 
3.4%

Length

2024-05-11T14:42:27.321763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:27.454513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
79.3%
120110 2
 
6.9%
120170 1
 
3.4%
120160 1
 
3.4%
120180 1
 
3.4%
120101 1
 
3.4%

지번주소
Text

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-11T14:42:27.654447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length25.724138
Min length20

Characters and Unicode

Total characters746
Distinct characters75
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

Unique21 ?
Unique (%)72.4%

Sample

1st row서울특별시 서대문구 대현동 **-*번지 이화여자대학교 이씨씨내 비***-*
2nd row서울특별시 서대문구 대현동 ***-*번지
3rd row서울특별시 서대문구 대신동 ***-*번지 미디어하우스빌딩 ***호
4th row서울특별시 서대문구 연희동 **-**번지 주영빌딩 *층
5th row서울특별시 서대문구 연희동 ***-***번지 ***호
ValueCountFrequency (%)
서울특별시 29
21.5%
서대문구 29
21.5%
번지 19
14.1%
9
 
6.7%
연희동 7
 
5.2%
호 5
 
3.7%
홍제동 5
 
3.7%
창천동 4
 
3.0%
홍은동 3
 
2.2%
대현동 2
 
1.5%
Other values (21) 23
17.0%
2024-05-11T14:42:28.040429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 141
18.9%
126
16.9%
서 58
 
7.8%
대 34
 
4.6%
특 29
 
3.9%
별 29
 
3.9%
시 29
 
3.9%
문 29
 
3.9%
구 29
 
3.9%
울 29
 
3.9%
Other values (65) 213
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
59.8%
Other Punctuation 141
 
18.9%
Space Separator 126
 
16.9%
Dash Punctuation 26
 
3.5%
Decimal Number 5
 
0.7%
Uppercase Letter 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
13.0%
대 34
 
7.6%
특 29
 
6.5%
별 29
 
6.5%
시 29
 
6.5%
문 29
 
6.5%
구 29
 
6.5%
울 29
 
6.5%
동 29
 
6.5%
지 20
 
4.5%
Other values (57) 131
29.4%
Decimal Number
ValueCountFrequency (%)
1 3
60.0%
2 1
 
20.0%
5 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
* 141
100.0%
Space Separator
ValueCountFrequency (%)
126
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
59.8%
Common 298
39.9%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
13.0%
대 34
 
7.6%
특 29
 
6.5%
별 29
 
6.5%
시 29
 
6.5%
문 29
 
6.5%
구 29
 
6.5%
울 29
 
6.5%
동 29
 
6.5%
지 20
 
4.5%
Other values (57) 131
29.4%
Common
ValueCountFrequency (%)
* 141
47.3%
126
42.3%
- 26
 
8.7%
1 3
 
1.0%
2 1
 
0.3%
5 1
 
0.3%
Latin
ValueCountFrequency (%)
A 1
50.0%
e 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
59.8%
ASCII 300
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 141
47.0%
126
42.0%
- 26
 
8.7%
1 3
 
1.0%
2 1
 
0.3%
5 1
 
0.3%
A 1
 
0.3%
e 1
 
0.3%
Hangul
ValueCountFrequency (%)
서 58
13.0%
대 34
 
7.6%
특 29
 
6.5%
별 29
 
6.5%
시 29
 
6.5%
문 29
 
6.5%
구 29
 
6.5%
울 29
 
6.5%
동 29
 
6.5%
지 20
 
4.5%
Other values (57) 131
29.4%

도로명주소
Text

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-11T14:42:28.359196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length33.551724
Min length25

Characters and Unicode

Total characters973
Distinct characters101
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)89.7%

Sample

1st row서울특별시 서대문구 이화여대길 ** (대현동,이화여자대학교 이씨씨내 비***-*)
2nd row서울특별시 서대문구 신촌역로 ** (대현동)
3rd row서울특별시 서대문구 봉원사길 ** (대신동,미디어하우스빌딩 ***호)
4th row서울특별시 서대문구 연희로 *** (연희동,주영빌딩 *층)
5th row서울특별시 서대문구 홍제천로 *** (연희동,***호)
ValueCountFrequency (%)
서울특별시 29
16.0%
서대문구 29
16.0%
28
15.5%
층 11
 
6.1%
호 10
 
5.5%
간호대로*길 5
 
2.8%
홍제동 5
 
2.8%
연희동 5
 
2.8%
홍은동 3
 
1.7%
창천동 3
 
1.7%
Other values (48) 53
29.3%
2024-05-11T14:42:28.824636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
16.3%
* 148
 
15.2%
서 59
 
6.1%
대 42
 
4.3%
동 31
 
3.2%
시 30
 
3.1%
문 30
 
3.1%
) 29
 
3.0%
( 29
 
3.0%
울 29
 
3.0%
Other values (91) 387
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 568
58.4%
Other Punctuation 176
 
18.1%
Space Separator 159
 
16.3%
Close Punctuation 29
 
3.0%
Open Punctuation 29
 
3.0%
Dash Punctuation 7
 
0.7%
Decimal Number 3
 
0.3%
Lowercase Letter 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 59
 
10.4%
대 42
 
7.4%
동 31
 
5.5%
시 30
 
5.3%
문 30
 
5.3%
울 29
 
5.1%
특 29
 
5.1%
구 29
 
5.1%
별 29
 
5.1%
로 27
 
4.8%
Other values (81) 233
41.0%
Other Punctuation
ValueCountFrequency (%)
* 148
84.1%
, 28
 
15.9%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
7 1
33.3%
Space Separator
ValueCountFrequency (%)
159
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 568
58.4%
Common 403
41.4%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 59
 
10.4%
대 42
 
7.4%
동 31
 
5.5%
시 30
 
5.3%
문 30
 
5.3%
울 29
 
5.1%
특 29
 
5.1%
구 29
 
5.1%
별 29
 
5.1%
로 27
 
4.8%
Other values (81) 233
41.0%
Common
ValueCountFrequency (%)
159
39.5%
* 148
36.7%
) 29
 
7.2%
( 29
 
7.2%
, 28
 
6.9%
- 7
 
1.7%
1 2
 
0.5%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
e 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 568
58.4%
ASCII 405
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
39.3%
* 148
36.5%
) 29
 
7.2%
( 29
 
7.2%
, 28
 
6.9%
- 7
 
1.7%
1 2
 
0.5%
e 1
 
0.2%
A 1
 
0.2%
7 1
 
0.2%
Hangul
ValueCountFrequency (%)
서 59
 
10.4%
대 42
 
7.4%
동 31
 
5.5%
시 30
 
5.3%
문 30
 
5.3%
울 29
 
5.1%
특 29
 
5.1%
구 29
 
5.1%
별 29
 
5.1%
로 27
 
4.8%
Other values (81) 233
41.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)71.4%
Missing8
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean25902.476
Minimum3607
Maximum120832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T14:42:28.988988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3607
5-th percentile3619
Q13619
median3734
Q33785
95-th percentile120110
Maximum120832
Range117225
Interquartile range (IQR)166

Descriptive statistics

Standard deviation46904.664
Coefficient of variation (CV)1.8108178
Kurtosis0.97545235
Mean25902.476
Median Absolute Deviation (MAD)54
Skewness1.7004676
Sum543952
Variance2.2000475 × 109
MonotonicityNot monotonic
2024-05-11T14:42:29.386920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
3619 5
17.2%
3703 2
 
6.9%
3785 2
 
6.9%
120030 1
 
3.4%
120110 1
 
3.4%
120100 1
 
3.4%
120832 1
 
3.4%
3721 1
 
3.4%
3736 1
 
3.4%
3773 1
 
3.4%
Other values (5) 5
17.2%
(Missing) 8
27.6%
ValueCountFrequency (%)
3607 1
 
3.4%
3619 5
17.2%
3680 1
 
3.4%
3703 2
 
6.9%
3721 1
 
3.4%
3734 1
 
3.4%
3736 1
 
3.4%
3773 1
 
3.4%
3777 1
 
3.4%
3781 1
 
3.4%
ValueCountFrequency (%)
120832 1
3.4%
120110 1
3.4%
120100 1
3.4%
120030 1
3.4%
3785 2
6.9%
3781 1
3.4%
3777 1
3.4%
3773 1
3.4%
3736 1
3.4%
3734 1
3.4%

사업장명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2024-05-11T14:42:29.631230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length11
Mean length7.9655172
Min length2

Characters and Unicode

Total characters231
Distinct characters98
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row(주)영화사백두대간
2nd row씨앤필
3rd row디어필름코리아
4th row(주)잇츠뮤직
5th row(주)이에스엠네트윅스
ValueCountFrequency (%)
주식회사 5
 
13.2%
주)영화사백두대간 1
 
2.6%
변경수 1
 
2.6%
필름 1
 
2.6%
그노스 1
 
2.6%
백퍼센트쏘세지 1
 
2.6%
씨컬처(c컬처 1
 
2.6%
주)영화사두둥 1
 
2.6%
주)올댓시네마플러스 1
 
2.6%
주)메가커뮤니케이션 1
 
2.6%
Other values (24) 24
63.2%
2024-05-11T14:42:30.156775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 20
 
8.7%
( 15
 
6.5%
) 15
 
6.5%
사 10
 
4.3%
스 10
 
4.3%
9
 
3.9%
이 7
 
3.0%
디 5
 
2.2%
회 5
 
2.2%
식 5
 
2.2%
Other values (88) 130
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 191
82.7%
Open Punctuation 15
 
6.5%
Close Punctuation 15
 
6.5%
Space Separator 9
 
3.9%
Uppercase Letter 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
10.5%
사 10
 
5.2%
스 10
 
5.2%
이 7
 
3.7%
디 5
 
2.6%
회 5
 
2.6%
식 5
 
2.6%
필 5
 
2.6%
네 4
 
2.1%
씨 4
 
2.1%
Other values (84) 116
60.7%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 191
82.7%
Common 39
 
16.9%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
10.5%
사 10
 
5.2%
스 10
 
5.2%
이 7
 
3.7%
디 5
 
2.6%
회 5
 
2.6%
식 5
 
2.6%
필 5
 
2.6%
네 4
 
2.1%
씨 4
 
2.1%
Other values (84) 116
60.7%
Common
ValueCountFrequency (%)
( 15
38.5%
) 15
38.5%
9
23.1%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 191
82.7%
ASCII 40
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 20
 
10.5%
사 10
 
5.2%
스 10
 
5.2%
이 7
 
3.7%
디 5
 
2.6%
회 5
 
2.6%
식 5
 
2.6%
필 5
 
2.6%
네 4
 
2.1%
씨 4
 
2.1%
Other values (84) 116
60.7%
ASCII
ValueCountFrequency (%)
( 15
37.5%
) 15
37.5%
9
22.5%
C 1
 
2.5%

최종수정일자
Date

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2010-05-18 17:27:23
Maximum2024-01-17 17:57:57
2024-05-11T14:42:30.368585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:30.586146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
I
22 
U
7 

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 22
75.9%
U 7
 
24.1%

Length

2024-05-11T14:42:30.745289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:30.866364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 22
75.9%
u 7
 
24.1%

데이터갱신일자
Date

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2018-08-31 23:59:59
Maximum2023-11-30 23:09:00
2024-05-11T14:42:30.969605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:42:31.132000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

좌표정보(X)
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194694.72
Minimum191780.25
Maximum196892.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T14:42:31.260501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191780.25
5-th percentile192882.77
Q1193721.46
median194899.26
Q3195314.09
95-th percentile196791.23
Maximum196892.09
Range5111.8382
Interquartile range (IQR)1592.6326

Descriptive statistics

Standard deviation1248.914
Coefficient of variation (CV)0.0064147298
Kurtosis-0.17158887
Mean194694.72
Median Absolute Deviation (MAD)918.18489
Skewness-0.085777194
Sum5646146.8
Variance1559786.1
MonotonicityNot monotonic
2024-05-11T14:42:31.391021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
195314.09396012 4
 
13.8%
193712.476983727 2
 
6.9%
193721.461388567 2
 
6.9%
195287.766418517 1
 
3.4%
196791.676370681 1
 
3.4%
194622.034823969 1
 
3.4%
193604.556559029 1
 
3.4%
191780.254137436 1
 
3.4%
196471.863658903 1
 
3.4%
195254.46824908 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
191780.254137436 1
3.4%
192737.745088368 1
3.4%
193100.296596513 1
3.4%
193604.556559029 1
3.4%
193712.476983727 2
6.9%
193721.461388567 2
6.9%
193945.087662797 1
3.4%
193981.074826445 1
3.4%
194036.13952773 1
3.4%
194069.486358263 1
3.4%
ValueCountFrequency (%)
196892.09236853 1
 
3.4%
196791.676370681 1
 
3.4%
196790.56276047 1
 
3.4%
196471.863658903 1
 
3.4%
195852.155518007 1
 
3.4%
195629.540151199 1
 
3.4%
195314.09396012 4
13.8%
195287.766418517 1
 
3.4%
195254.46824908 1
 
3.4%
195177.169771927 1
 
3.4%

좌표정보(Y)
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452379.85
Minimum450619.26
Maximum455215.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T14:42:31.517490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450619.26
5-th percentile450637.01
Q1451125.63
median451795.22
Q3453924.41
95-th percentile454855.16
Maximum455215.55
Range4596.2864
Interquartile range (IQR)2798.7804

Descriptive statistics

Standard deviation1637.5706
Coefficient of variation (CV)0.0036199018
Kurtosis-1.151079
Mean452379.85
Median Absolute Deviation (MAD)1107.0704
Skewness0.65708777
Sum13119016
Variance2681637.6
MonotonicityNot monotonic
2024-05-11T14:42:31.656883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
454854.831582051 4
 
13.8%
450637.010875398 2
 
6.9%
451795.216250499 2
 
6.9%
451143.789306014 1
 
3.4%
451412.460285013 1
 
3.4%
450646.069268441 1
 
3.4%
451125.633834762 1
 
3.4%
453117.479967771 1
 
3.4%
452056.821834905 1
 
3.4%
454855.386519256 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
450619.260047619 1
3.4%
450637.010875398 2
6.9%
450646.069268441 1
3.4%
450669.006384815 1
3.4%
450689.162539943 1
3.4%
450948.915518467 1
3.4%
451125.633834762 1
3.4%
451143.789306014 1
3.4%
451275.108363002 1
3.4%
451412.460285013 1
3.4%
ValueCountFrequency (%)
455215.546447881 1
 
3.4%
454855.386519256 1
 
3.4%
454854.831582051 4
13.8%
454776.99790801 1
 
3.4%
453924.414193497 1
 
3.4%
453117.479967771 1
 
3.4%
452902.286650684 1
 
3.4%
452099.692080255 1
 
3.4%
452056.821834905 1
 
3.4%
451982.435195781 1
 
3.4%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
영화수입업
21 
<NA>
8 

Length

Max length5
Median length5
Mean length4.7241379
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화수입업 21
72.4%
<NA> 8
 
27.6%

Length

2024-05-11T14:42:31.804889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:42:31.916752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화수입업 21
72.4%
na 8
 
27.6%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)100.0%
Missing8
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean20103462
Minimum19960809
Maximum20200303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2024-05-11T14:42:32.041470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960809
5-th percentile19990607
Q120040909
median20110330
Q320170407
95-th percentile20200217
Maximum20200303
Range239494
Interquartile range (IQR)129498

Descriptive statistics

Standard deviation76488.226
Coefficient of variation (CV)0.003804729
Kurtosis-1.1505042
Mean20103462
Median Absolute Deviation (MAD)69421
Skewness-0.274189
Sum4.2217271 × 108
Variance5.8504487 × 109
MonotonicityNot monotonic
2024-05-11T14:42:32.203573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
19990607 1
 
3.4%
20050310 1
 
3.4%
20170407 1
 
3.4%
20151211 1
 
3.4%
20200303 1
 
3.4%
20200217 1
 
3.4%
20200204 1
 
3.4%
20190923 1
 
3.4%
20190321 1
 
3.4%
20031215 1
 
3.4%
Other values (11) 11
37.9%
(Missing) 8
27.6%
ValueCountFrequency (%)
19960809 1
3.4%
19990607 1
3.4%
20001116 1
3.4%
20020228 1
3.4%
20031215 1
3.4%
20040909 1
3.4%
20050310 1
3.4%
20070412 1
3.4%
20090731 1
3.4%
20101124 1
3.4%
ValueCountFrequency (%)
20200303 1
3.4%
20200217 1
3.4%
20200204 1
3.4%
20190923 1
3.4%
20190321 1
3.4%
20170407 1
3.4%
20151211 1
3.4%
20150107 1
3.4%
20130319 1
3.4%
20120906 1
3.4%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03120000CDFF521102199600000119960809<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 대현동 **-*번지 이화여자대학교 이씨씨내 비***-*서울특별시 서대문구 이화여대길 ** (대현동,이화여자대학교 이씨씨내 비***-*)<NA>(주)영화사백두대간2014-12-01 11:41:18I2018-08-31 23:59:59.0<NA>195287.766419451143.789306영화수입업<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>19960809<NA>
13120000CDFF521102199900000119990607<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120170서울특별시 서대문구 대현동 ***-*번지서울특별시 서대문구 신촌역로 ** (대현동)<NA>씨앤필2010-05-18 17:27:23I2018-08-31 23:59:59.0<NA>194899.259719450619.260048영화수입업<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>19990607<NA>
23120000CDFF521102200000000120001116<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120160서울특별시 서대문구 대신동 ***-*번지 미디어하우스빌딩 ***호서울특별시 서대문구 봉원사길 ** (대신동,미디어하우스빌딩 ***호)<NA>디어필름코리아2010-05-18 17:34:38I2018-08-31 23:59:59.0<NA>195177.169772451823.186194영화수입업<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>20001116<NA>
33120000CDFF521102200200000120020228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120110서울특별시 서대문구 연희동 **-**번지 주영빌딩 *층서울특별시 서대문구 연희로 *** (연희동,주영빌딩 *층)<NA>(주)잇츠뮤직2010-05-18 17:36:48I2018-08-31 23:59:59.0<NA>194109.156417452099.69208영화수입업<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>20020228<NA>
43120000CDFF521102200400000120040909<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120110서울특별시 서대문구 연희동 ***-***번지 ***호서울특별시 서대문구 홍제천로 *** (연희동,***호)<NA>(주)이에스엠네트윅스2010-05-18 17:39:24I2018-08-31 23:59:59.0<NA>194036.139528452902.286651영화수입업<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>20040909<NA>
53120000CDFF521102200700000120070412<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120180서울특별시 서대문구 창천동 **-**번지 ***호서울특별시 서대문구 신촌로**길 ** (창천동,***호)<NA>씨네가2010-05-18 17:40:29I2018-08-31 23:59:59.0<NA>194069.486358450689.16254영화수입업<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>20070412<NA>
63120000CDFF521102200900000220090731<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120101서울특별시 서대문구 홍은동 ***-***번지서울특별시 서대문구 연희로**가길 ** (홍은동)<NA>(주) 코디즈2010-05-18 17:42:12I2018-08-31 23:59:59.0<NA>193945.087663453924.414193영화수입업<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>20090731<NA>
73120000CDFF521102201100000120110330<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 냉천동 ***번지 *층서울특별시 서대문구 통일로 ***-* (냉천동,*층)<NA>다솔기획2011-03-30 10:56:12I2018-08-31 23:59:59.0<NA>196790.56276451716.64293영화수입업<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>20110330<NA>
83120000CDFF521102201200000220120906<NA>1영업/정상13영업중<NA><NA><NA><NA>2269-2696<NA><NA>서울특별시 서대문구 합동 ***번지서울특별시 서대문구 서소문로 **, ***호 (합동, 충정로대우디오빌)120030주식회사 와몽이엔티2012-09-06 13:44:33I2018-08-31 23:59:59.0<NA>196892.092369450948.915518영화수입업<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>20120906<NA>
93120000CDFF521102201300000120101124<NA>1영업/정상13영업중<NA><NA><NA><NA>3444-8022<NA><NA>서울특별시 서대문구 연희동 ***-***번지 금송빌딩 ***호서울특별시 서대문구 성산로 ***-*, ***호 (연희동, 금송빌딩)120110(주)이스트스카이필름2013-04-03 10:58:47I2018-08-31 23:59:59.0<NA>192737.745088451731.537566영화수입업<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>20101124<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
193120000CDFF521102202000000220200217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 영천동 **-*번지서울특별시 서대문구 영천시장길 **, *층 ***호 (영천동)3734주식회사 백퍼센트쏘세지2020-02-17 15:23:52I2020-02-19 00:23:23.0<NA>196471.863659452056.821835영화수입업<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>20200217<NA>
203120000CDFF521102202000000320200303<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 ***-**번지서울특별시 서대문구 거북골로**길 **, 에코빌 *층 ***호 (북가좌동)3680씨컬처(C컬처)2020-03-03 17:48:30I2020-03-05 00:23:34.0<NA>191780.254137453117.479968영화수입업<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>20200303<NA>
213120000CDFF521102202000000420151211<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 ***-*서울특별시 서대문구 간호대로*길 **, *층 (홍제동)3619(주)영화사두둥2022-02-16 15:24:37U2022-02-18 02:40:00.0<NA>195314.09396454854.831582영화수입업<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>20151211<NA>
223120000CDFF521102202000000520170407<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6351-3242<NA><NA>서울특별시 서대문구 연희동 ***-***번지서울특별시 서대문구 연희로 **-**, *층 (연희동)3781(주)올댓시네마플러스2020-05-11 11:37:24U2020-05-13 02:40:00.0<NA>193604.556559451125.633835영화수입업<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>20170407<NA>
233120000CDFF52110220200000061999-05-17<NA>3폐업3폐업2023-03-14<NA><NA><NA>02-2272-2945<NA><NA>서울특별시 서대문구 홍제동 ***-*서울특별시 서대문구 간호대로*길 ** (홍제동)3619(주)씨네월드2023-03-16 11:01:49U2022-12-02 23:08:00.0<NA>195314.09396454854.831582<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>
243120000CDFF521102202000000720050310<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 ***-*서울특별시 서대문구 간호대로*길 **, *층 (홍제동)3619(주)영화사아침2022-03-18 17:33:32U2022-03-20 02:40:00.0<NA>195314.09396454854.831582영화수입업<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>20050310<NA>
253120000CDFF521102202200000120220328<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 ***-*서울특별시 서대문구 신촌로 **, *층 (창천동)3785주식회사 스튜디오 커피브레이크2022-03-28 14:48:15I2021-12-02 21:01:00.0<NA>193712.476984450637.010875<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>
263120000CDFF521102202200000220210219<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 *-** 캠퍼스타운 에스큐브 ***호서울특별시 서대문구 연세로*나길 **, 캠퍼스타운 에스큐브 ***호 (창천동)3777(주)하이스트레인저2022-07-19 17:07:41I2021-12-06 22:01:00.0<NA>194622.034824450646.069268<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>
273120000CDFF52110220230000012023-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 ***-*서울특별시 서대문구 신촌로 **, *층 ****호 (창천동)3785주식회사 스튜디오쿵짝2023-04-24 09:52:05I2022-12-03 22:06:00.0<NA>193712.476984450637.010875<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>
283120000CDFF52110220230000022023-05-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 ***-*서울특별시 서대문구 간호대로*길 **, *층 (홍제동)3619(주)제리굿컴퍼니2023-05-18 16:26:05I2022-12-04 22:00:00.0<NA>195314.09396454854.831582<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>