Overview

Dataset statistics

Number of variables56
Number of observations25
Missing cells704
Missing cells (%)50.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.1 KiB
Average record size in memory496.3 B

Variable types

Categorical17
Text6
DateTime3
Unsupported26
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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-17646/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (58.9%)Imbalance
인허가취소일자 has 25 (100.0%) missing valuesMissing
폐업일자 has 20 (80.0%) missing valuesMissing
휴업시작일자 has 25 (100.0%) missing valuesMissing
휴업종료일자 has 25 (100.0%) missing valuesMissing
재개업일자 has 25 (100.0%) missing valuesMissing
전화번호 has 17 (68.0%) missing valuesMissing
소재지면적 has 25 (100.0%) missing valuesMissing
도로명우편번호 has 7 (28.0%) missing valuesMissing
업태구분명 has 25 (100.0%) missing valuesMissing
문화사업자구분명 has 25 (100.0%) missing valuesMissing
주변환경명 has 25 (100.0%) missing valuesMissing
제작취급품목내용 has 25 (100.0%) missing valuesMissing
건물용도명 has 25 (100.0%) missing valuesMissing
비상계단여부 has 25 (100.0%) missing valuesMissing
비상구여부 has 25 (100.0%) missing valuesMissing
자동환기여부 has 25 (100.0%) missing valuesMissing
청소년실여부 has 25 (100.0%) missing valuesMissing
특수조명여부 has 25 (100.0%) missing valuesMissing
방음시설여부 has 25 (100.0%) missing valuesMissing
비디오재생기명 has 25 (100.0%) missing valuesMissing
조명시설유무 has 25 (100.0%) missing valuesMissing
음향시설여부 has 25 (100.0%) missing valuesMissing
편의시설여부 has 25 (100.0%) missing valuesMissing
소방시설여부 has 25 (100.0%) missing valuesMissing
기존게임업외업종명 has 25 (100.0%) missing valuesMissing
제공게임물명 has 25 (100.0%) missing valuesMissing
공연장형태구분명 has 25 (100.0%) missing valuesMissing
품목명 has 25 (100.0%) missing valuesMissing
최초등록시점 has 10 (40.0%) missing valuesMissing
지역구분명 has 25 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 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
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 started2024-04-06 11:12:58.994680
Analysis finished2024-04-06 11:12:59.924130
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3190000
25 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 25
100.0%

Length

2024-04-06T20:13:00.046174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:00.236271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 25
100.0%

관리번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T20:13:00.542434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters500
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

Unique25 ?
Unique (%)100.0%

Sample

1st rowCDFF5211032007000001
2nd rowCDFF5211032008000001
3rd rowCDFF5211032008000002
4th rowCDFF5211032009000001
5th rowCDFF5211032009000002
ValueCountFrequency (%)
cdff5211032007000001 1
 
4.0%
cdff5211032019000002 1
 
4.0%
cdff5211032023000003 1
 
4.0%
cdff5211032023000002 1
 
4.0%
cdff5211032023000001 1
 
4.0%
cdff5211032022000002 1
 
4.0%
cdff5211032022000001 1
 
4.0%
cdff5211032021000003 1
 
4.0%
cdff5211032021000002 1
 
4.0%
cdff5211032021000001 1
 
4.0%
Other values (15) 15
60.0%
2024-04-06T20:13:01.107851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 183
36.6%
1 77
15.4%
2 71
 
14.2%
F 50
 
10.0%
3 31
 
6.2%
5 26
 
5.2%
C 25
 
5.0%
D 25
 
5.0%
8 4
 
0.8%
9 4
 
0.8%
Other values (3) 4
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
80.0%
Uppercase Letter 100
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 183
45.8%
1 77
19.2%
2 71
 
17.8%
3 31
 
7.8%
5 26
 
6.5%
8 4
 
1.0%
9 4
 
1.0%
7 2
 
0.5%
6 1
 
0.2%
4 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 50
50.0%
C 25
25.0%
D 25
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
80.0%
Latin 100
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 183
45.8%
1 77
19.2%
2 71
 
17.8%
3 31
 
7.8%
5 26
 
6.5%
8 4
 
1.0%
9 4
 
1.0%
7 2
 
0.5%
6 1
 
0.2%
4 1
 
0.2%
Latin
ValueCountFrequency (%)
F 50
50.0%
C 25
25.0%
D 25
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 183
36.6%
1 77
15.4%
2 71
 
14.2%
F 50
 
10.0%
3 31
 
6.2%
5 26
 
5.2%
C 25
 
5.0%
D 25
 
5.0%
8 4
 
0.8%
9 4
 
0.8%
Other values (3) 4
 
0.8%

인허가일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2007-12-07 00:00:00
Maximum2024-01-16 00:00:00
2024-04-06T20:13:01.366743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:13:01.622850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
1
20 
3
4 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 20
80.0%
3 4
 
16.0%
5 1
 
4.0%

Length

2024-04-06T20:13:01.854591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:02.045905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 20
80.0%
3 4
 
16.0%
5 1
 
4.0%

영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업/정상
20 
폐업
4 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.64
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 20
80.0%
폐업 4
 
16.0%
제외/삭제/전출 1
 
4.0%

Length

2024-04-06T20:13:02.183121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:02.361554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 20
80.0%
폐업 4
 
16.0%
제외/삭제/전출 1
 
4.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
13
20 
3
4 
15
 
1

Length

Max length2
Median length2
Mean length1.84
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 20
80.0%
3 4
 
16.0%
15 1
 
4.0%

Length

2024-04-06T20:13:02.510178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:02.692099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 20
80.0%
3 4
 
16.0%
15 1
 
4.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영업중
20 
폐업
4 
전출
 
1

Length

Max length3
Median length3
Mean length2.8
Min length2

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 20
80.0%
폐업 4
 
16.0%
전출 1
 
4.0%

Length

2024-04-06T20:13:03.240907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:03.422931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 20
80.0%
폐업 4
 
16.0%
전출 1
 
4.0%

폐업일자
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing20
Missing (%)80.0%
Memory size332.0 B
2024-04-06T20:13:03.673924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.2
Min length8

Characters and Unicode

Total characters46
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

Unique5 ?
Unique (%)100.0%

Sample

1st row20220126
2nd row2023-12-06
3rd row20201223
4th row2023-02-10
5th row9999-12-31
ValueCountFrequency (%)
20220126 1
20.0%
2023-12-06 1
20.0%
20201223 1
20.0%
2023-02-10 1
20.0%
9999-12-31 1
20.0%
2024-04-06T20:13:04.208722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 15
32.6%
0 9
19.6%
1 6
 
13.0%
- 6
 
13.0%
3 4
 
8.7%
9 4
 
8.7%
6 2
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40
87.0%
Dash Punctuation 6
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 15
37.5%
0 9
22.5%
1 6
 
15.0%
3 4
 
10.0%
9 4
 
10.0%
6 2
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 15
32.6%
0 9
19.6%
1 6
 
13.0%
- 6
 
13.0%
3 4
 
8.7%
9 4
 
8.7%
6 2
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 15
32.6%
0 9
19.6%
1 6
 
13.0%
- 6
 
13.0%
3 4
 
8.7%
9 4
 
8.7%
6 2
 
4.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

전화번호
Text

MISSING 

Distinct7
Distinct (%)87.5%
Missing17
Missing (%)68.0%
Memory size332.0 B
2024-04-06T20:13:04.397421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11
Min length8

Characters and Unicode

Total characters88
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

Unique6 ?
Unique (%)75.0%

Sample

1st row816-0370
2nd row070-7017-3321
3rd row2055-2547
4th row325-7060
5th row070-7017-3314
ValueCountFrequency (%)
070-7017-3314 2
25.0%
816-0370 1
12.5%
070-7017-3321 1
12.5%
2055-2547 1
12.5%
325-7060 1
12.5%
02-3289-2668 1
12.5%
050714831151 1
12.5%
2024-04-06T20:13:04.805803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17
19.3%
7 13
14.8%
- 11
12.5%
1 11
12.5%
3 10
11.4%
2 7
8.0%
5 6
 
6.8%
4 4
 
4.5%
8 4
 
4.5%
6 4
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 77
87.5%
Dash Punctuation 11
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
22.1%
7 13
16.9%
1 11
14.3%
3 10
13.0%
2 7
9.1%
5 6
 
7.8%
4 4
 
5.2%
8 4
 
5.2%
6 4
 
5.2%
9 1
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 88
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17
19.3%
7 13
14.8%
- 11
12.5%
1 11
12.5%
3 10
11.4%
2 7
8.0%
5 6
 
6.8%
4 4
 
4.5%
8 4
 
4.5%
6 4
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17
19.3%
7 13
14.8%
- 11
12.5%
1 11
12.5%
3 10
11.4%
2 7
8.0%
5 6
 
6.8%
4 4
 
4.5%
8 4
 
4.5%
6 4
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
21 
156816
 
1
156827
 
1
156829
 
1
156849
 
1

Length

Max length6
Median length4
Mean length4.32
Min length4

Unique

Unique4 ?
Unique (%)16.0%

Sample

1st row<NA>
2nd row156816
3rd row156827
4th row<NA>
5th row156829

Common Values

ValueCountFrequency (%)
<NA> 21
84.0%
156816 1
 
4.0%
156827 1
 
4.0%
156829 1
 
4.0%
156849 1
 
4.0%

Length

2024-04-06T20:13:05.007872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:05.165407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 21
84.0%
156816 1
 
4.0%
156827 1
 
4.0%
156829 1
 
4.0%
156849 1
 
4.0%

지번주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T20:13:05.444292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length27
Min length17

Characters and Unicode

Total characters675
Distinct characters68
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

Unique25 ?
Unique (%)100.0%

Sample

1st row서울특별시 동작구 대방동 ***-*번지 한성빌딩 ***호
2nd row서울특별시 동작구 사당동 ***-**번지 골든시네마 *층
3rd row서울특별시 동작구 사당동 ****-**번지 옥암빌딩 *층
4th row서울특별시 동작구 사당동 **-**번지 지하*층
5th row서울특별시 동작구 사당동 **-**번지 건화빌딩 *층
ValueCountFrequency (%)
서울특별시 25
19.2%
동작구 25
19.2%
17
13.1%
사당동 13
10.0%
번지 8
 
6.2%
대방동 4
 
3.1%
상도동 4
 
3.1%
호 4
 
3.1%
층 4
 
3.1%
신대방동 2
 
1.5%
Other values (22) 24
18.5%
2024-04-06T20:13:05.981227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 137
20.3%
117
17.3%
동 55
 
8.1%
시 28
 
4.1%
서 25
 
3.7%
특 25
 
3.7%
별 25
 
3.7%
작 25
 
3.7%
구 25
 
3.7%
울 25
 
3.7%
Other values (58) 188
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 397
58.8%
Other Punctuation 137
 
20.3%
Space Separator 117
 
17.3%
Dash Punctuation 21
 
3.1%
Lowercase Letter 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 55
 
13.9%
시 28
 
7.1%
서 25
 
6.3%
특 25
 
6.3%
별 25
 
6.3%
작 25
 
6.3%
구 25
 
6.3%
울 25
 
6.3%
당 13
 
3.3%
사 13
 
3.3%
Other values (52) 138
34.8%
Other Punctuation
ValueCountFrequency (%)
* 137
100.0%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 397
58.8%
Common 277
41.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 55
 
13.9%
시 28
 
7.1%
서 25
 
6.3%
특 25
 
6.3%
별 25
 
6.3%
작 25
 
6.3%
구 25
 
6.3%
울 25
 
6.3%
당 13
 
3.3%
사 13
 
3.3%
Other values (52) 138
34.8%
Common
ValueCountFrequency (%)
* 137
49.5%
117
42.2%
- 21
 
7.6%
( 1
 
0.4%
) 1
 
0.4%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 397
58.8%
ASCII 278
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 137
49.3%
117
42.1%
- 21
 
7.6%
e 1
 
0.4%
( 1
 
0.4%
) 1
 
0.4%
Hangul
ValueCountFrequency (%)
동 55
 
13.9%
시 28
 
7.1%
서 25
 
6.3%
특 25
 
6.3%
별 25
 
6.3%
작 25
 
6.3%
구 25
 
6.3%
울 25
 
6.3%
당 13
 
3.3%
사 13
 
3.3%
Other values (52) 138
34.8%

도로명주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T20:13:06.436983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length40
Mean length35.92
Min length25

Characters and Unicode

Total characters898
Distinct characters87
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

Unique25 ?
Unique (%)100.0%

Sample

1st row서울특별시 동작구 대방동**가길 **, ***호 (대방동,한성빌딩)
2nd row서울특별시 동작구 동작대로 ** (사당동,골든시네마 *층)
3rd row서울특별시 동작구 남부순환로 **** (사당동,옥암빌딩 *층)
4th row서울특별시 동작구 동작대로**가길 ** (사당동,지하*층)
5th row서울특별시 동작구 동작대로**길 ** (사당동,건화빌딩 *층)
ValueCountFrequency (%)
서울특별시 25
15.4%
동작구 25
15.4%
25
15.4%
호 9
 
5.6%
사당동 8
 
4.9%
층 7
 
4.3%
동 4
 
2.5%
상도동 4
 
2.5%
동작대로**길 3
 
1.9%
지하*층 3
 
1.9%
Other values (41) 49
30.2%
2024-04-06T20:13:06.988601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
144
16.0%
* 138
 
15.4%
동 67
 
7.5%
작 33
 
3.7%
, 32
 
3.6%
시 28
 
3.1%
) 27
 
3.0%
( 27
 
3.0%
서 25
 
2.8%
특 25
 
2.8%
Other values (77) 352
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 525
58.5%
Other Punctuation 170
 
18.9%
Space Separator 144
 
16.0%
Close Punctuation 27
 
3.0%
Open Punctuation 27
 
3.0%
Dash Punctuation 3
 
0.3%
Lowercase Letter 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 67
 
12.8%
작 33
 
6.3%
시 28
 
5.3%
서 25
 
4.8%
특 25
 
4.8%
별 25
 
4.8%
구 25
 
4.8%
울 25
 
4.8%
로 22
 
4.2%
사 19
 
3.6%
Other values (69) 231
44.0%
Other Punctuation
ValueCountFrequency (%)
* 138
81.2%
, 32
 
18.8%
Space Separator
ValueCountFrequency (%)
144
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 525
58.5%
Common 371
41.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 67
 
12.8%
작 33
 
6.3%
시 28
 
5.3%
서 25
 
4.8%
특 25
 
4.8%
별 25
 
4.8%
구 25
 
4.8%
울 25
 
4.8%
로 22
 
4.2%
사 19
 
3.6%
Other values (69) 231
44.0%
Common
ValueCountFrequency (%)
144
38.8%
* 138
37.2%
, 32
 
8.6%
) 27
 
7.3%
( 27
 
7.3%
- 3
 
0.8%
Latin
ValueCountFrequency (%)
e 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 525
58.5%
ASCII 373
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
144
38.6%
* 138
37.0%
, 32
 
8.6%
) 27
 
7.2%
( 27
 
7.2%
- 3
 
0.8%
e 1
 
0.3%
C 1
 
0.3%
Hangul
ValueCountFrequency (%)
동 67
 
12.8%
작 33
 
6.3%
시 28
 
5.3%
서 25
 
4.8%
특 25
 
4.8%
별 25
 
4.8%
구 25
 
4.8%
울 25
 
4.8%
로 22
 
4.2%
사 19
 
3.6%
Other values (69) 231
44.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)77.8%
Missing7
Missing (%)28.0%
Infinite0
Infinite (%)0.0%
Mean7003.2778
Minimum6906
Maximum7071
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T20:13:07.192893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6906
5-th percentile6932.35
Q16972.5
median7013
Q37041
95-th percentile7057.4
Maximum7071
Range165
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation48.331947
Coefficient of variation (CV)0.0069013323
Kurtosis-0.68483392
Mean7003.2778
Median Absolute Deviation (MAD)34.5
Skewness-0.58924474
Sum126059
Variance2335.9771
MonotonicityNot monotonic
2024-04-06T20:13:07.384446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7029 2
 
8.0%
7055 2
 
8.0%
6937 2
 
8.0%
7013 2
 
8.0%
7071 1
 
4.0%
6998 1
 
4.0%
7045 1
 
4.0%
6996 1
 
4.0%
6995 1
 
4.0%
6906 1
 
4.0%
Other values (4) 4
16.0%
(Missing) 7
28.0%
ValueCountFrequency (%)
6906 1
4.0%
6937 2
8.0%
6940 1
4.0%
6965 1
4.0%
6995 1
4.0%
6996 1
4.0%
6998 1
4.0%
7013 2
8.0%
7025 1
4.0%
7029 2
8.0%
ValueCountFrequency (%)
7071 1
4.0%
7055 2
8.0%
7050 1
4.0%
7045 1
4.0%
7029 2
8.0%
7025 1
4.0%
7013 2
8.0%
6998 1
4.0%
6996 1
4.0%
6995 1
4.0%

사업장명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-04-06T20:13:07.675045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length8.08
Min length4

Characters and Unicode

Total characters202
Distinct characters91
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row(주)시네마캠프
2nd row(주)씨에이엔
3rd row(주)더그
4th row(주)영화사민들레
5th row(주)비오비시네마
ValueCountFrequency (%)
주식회사 4
 
11.8%
주)시네마캠프 1
 
2.9%
주)투케이에스픽처스 1
 
2.9%
호라스 1
 
2.9%
주)이씨에스미디어 1
 
2.9%
엔터테인먼트 1
 
2.9%
케이 1
 
2.9%
플라시보픽쳐스 1
 
2.9%
풋인라이트 1
 
2.9%
필름다빈 1
 
2.9%
Other values (21) 21
61.8%
2024-04-06T20:13:08.248830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 15
 
7.4%
) 11
 
5.4%
( 10
 
5.0%
9
 
4.5%
사 8
 
4.0%
이 7
 
3.5%
스 7
 
3.5%
인 5
 
2.5%
회 5
 
2.5%
라 4
 
2.0%
Other values (81) 121
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 161
79.7%
Close Punctuation 11
 
5.4%
Open Punctuation 10
 
5.0%
Space Separator 9
 
4.5%
Lowercase Letter 7
 
3.5%
Uppercase Letter 4
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
 
9.3%
사 8
 
5.0%
이 7
 
4.3%
스 7
 
4.3%
인 5
 
3.1%
회 5
 
3.1%
라 4
 
2.5%
식 4
 
2.5%
트 4
 
2.5%
에 3
 
1.9%
Other values (67) 99
61.5%
Lowercase Letter
ValueCountFrequency (%)
c 1
14.3%
i 1
14.3%
t 1
14.3%
u 1
14.3%
r 1
14.3%
e 1
14.3%
s 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
M 1
25.0%
Z 1
25.0%
P 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 161
79.7%
Common 30
 
14.9%
Latin 11
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
 
9.3%
사 8
 
5.0%
이 7
 
4.3%
스 7
 
4.3%
인 5
 
3.1%
회 5
 
3.1%
라 4
 
2.5%
식 4
 
2.5%
트 4
 
2.5%
에 3
 
1.9%
Other values (67) 99
61.5%
Latin
ValueCountFrequency (%)
c 1
9.1%
D 1
9.1%
M 1
9.1%
Z 1
9.1%
P 1
9.1%
i 1
9.1%
t 1
9.1%
u 1
9.1%
r 1
9.1%
e 1
9.1%
Common
ValueCountFrequency (%)
) 11
36.7%
( 10
33.3%
9
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 161
79.7%
ASCII 41
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 15
 
9.3%
사 8
 
5.0%
이 7
 
4.3%
스 7
 
4.3%
인 5
 
3.1%
회 5
 
3.1%
라 4
 
2.5%
식 4
 
2.5%
트 4
 
2.5%
에 3
 
1.9%
Other values (67) 99
61.5%
ASCII
ValueCountFrequency (%)
) 11
26.8%
( 10
24.4%
9
22.0%
c 1
 
2.4%
D 1
 
2.4%
M 1
 
2.4%
Z 1
 
2.4%
P 1
 
2.4%
i 1
 
2.4%
t 1
 
2.4%
Other values (4) 4
 
9.8%

최종수정일자
Date

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2010-05-07 17:53:58
Maximum2024-02-08 13:13:05
2024-04-06T20:13:08.448311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:13:08.633769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

데이터갱신구분
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
I
15 
U
10 

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 15
60.0%
U 10
40.0%

Length

2024-04-06T20:13:08.822130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:08.974195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 15
60.0%
u 10
40.0%

데이터갱신일자
Date

Distinct19
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 23:01:00
2024-04-06T20:13:09.116182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:13:09.304929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

좌표정보(X)
Real number (ℝ)

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196042.32
Minimum192919.71
Maximum198322.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T20:13:09.509514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192919.71
5-th percentile193167.8
Q1194119.75
median196729.93
Q3198261.63
95-th percentile198312.03
Maximum198322.99
Range5403.2814
Interquartile range (IQR)4141.8727

Descriptive statistics

Standard deviation2139.698
Coefficient of variation (CV)0.01091447
Kurtosis-1.7949141
Mean196042.32
Median Absolute Deviation (MAD)1565.9171
Skewness-0.18437706
Sum4901058.1
Variance4578307.7
MonotonicityNot monotonic
2024-04-06T20:13:09.742568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
198295.843258378 3
 
12.0%
194219.201792642 2
 
8.0%
193165.596874373 1
 
4.0%
198322.986939768 1
 
4.0%
195228.451422805 1
 
4.0%
198212.63825788 1
 
4.0%
193830.398934916 1
 
4.0%
194119.753513436 1
 
4.0%
192919.705571216 1
 
4.0%
198202.472533419 1
 
4.0%
Other values (12) 12
48.0%
ValueCountFrequency (%)
192919.705571216 1
4.0%
193165.596874373 1
4.0%
193176.63667583 1
4.0%
193300.832515956 1
4.0%
193508.773577248 1
4.0%
193830.398934916 1
4.0%
194119.753513436 1
4.0%
194219.201792642 2
8.0%
194435.81902822 1
4.0%
195228.451422805 1
4.0%
ValueCountFrequency (%)
198322.986939768 1
 
4.0%
198316.072697764 1
 
4.0%
198295.843258378 3
12.0%
198283.995420571 1
 
4.0%
198261.626168303 1
 
4.0%
198212.63825788 1
 
4.0%
198202.472533419 1
 
4.0%
197802.054854046 1
 
4.0%
197477.315759087 1
 
4.0%
196767.417983203 1
 
4.0%

좌표정보(Y)
Real number (ℝ)

Distinct22
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443491.62
Minimum441543.54
Maximum445537.18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T20:13:09.930700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441543.54
5-th percentile441849.55
Q1443029.58
median443211.32
Q3444150.6
95-th percentile445196.35
Maximum445537.18
Range3993.6426
Interquartile range (IQR)1121.0219

Descriptive statistics

Standard deviation1049.9483
Coefficient of variation (CV)0.0023674591
Kurtosis-0.44960242
Mean443491.62
Median Absolute Deviation (MAD)703.62538
Skewness0.20998431
Sum11087291
Variance1102391.4
MonotonicityNot monotonic
2024-04-06T20:13:10.128988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
442507.699069196 3
 
12.0%
444880.903466886 2
 
8.0%
444637.359368057 1
 
4.0%
443209.523113837 1
 
4.0%
444575.230390245 1
 
4.0%
441694.12764417 1
 
4.0%
445537.180196391 1
 
4.0%
443676.004155954 1
 
4.0%
444025.418072484 1
 
4.0%
442471.241038085 1
 
4.0%
Other values (12) 12
48.0%
ValueCountFrequency (%)
441543.537610587 1
 
4.0%
441694.12764417 1
 
4.0%
442471.241038085 1
 
4.0%
442507.699069196 3
12.0%
443029.580446715 1
 
4.0%
443049.47147487 1
 
4.0%
443128.818555006 1
 
4.0%
443170.0441648 1
 
4.0%
443179.412908388 1
 
4.0%
443209.523113837 1
 
4.0%
ValueCountFrequency (%)
445537.180196391 1
4.0%
445275.20796016 1
4.0%
444880.903466886 2
8.0%
444637.359368057 1
4.0%
444575.230390245 1
4.0%
444150.602376474 1
4.0%
444025.418072484 1
4.0%
443759.946088968 1
4.0%
443676.004155954 1
4.0%
443379.17134595 1
4.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
영화배급업
15 
<NA>
10 

Length

Max length5
Median length5
Mean length4.6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화배급업 15
60.0%
<NA> 10
40.0%

Length

2024-04-06T20:13:10.396455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:10.561322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화배급업 15
60.0%
na 10
40.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

총층수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
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> 22
88.0%
0 3
 
12.0%

Length

2024-04-06T20:13:10.739457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:10.892429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

시설면적
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
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> 22
88.0%
0 3
 
12.0%

Length

2024-04-06T20:13:11.084408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:11.270738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

지상층수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
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> 22
88.0%
0 3
 
12.0%

Length

2024-04-06T20:13:11.420040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:11.570156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

지하층수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
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> 22
88.0%
0 3
 
12.0%

Length

2024-04-06T20:13:11.715923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:11.873058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

통로너비
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
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> 22
88.0%
0 3
 
12.0%

Length

2024-04-06T20:13:12.068168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:12.222785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

조명시설조도
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
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> 22
88.0%
0 3
 
12.0%

Length

2024-04-06T20:13:12.420020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:12.579883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

노래방실수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
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> 22
88.0%
0 3
 
12.0%

Length

2024-04-06T20:13:12.755804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:12.916756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

청소년실수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
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> 22
88.0%
0 3
 
12.0%

Length

2024-04-06T20:13:13.073822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:13.209654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

총게임기수
Categorical

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
<NA>
22 
0
3 

Length

Max length4
Median length4
Mean length3.64
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> 22
88.0%
0 3
 
12.0%

Length

2024-04-06T20:13:13.375673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:13:13.860327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
88.0%
0 3
 
12.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)100.0%
Missing10
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean20143357
Minimum20071207
Maximum20210823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-04-06T20:13:14.089158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20071207
5-th percentile20077454
Q120090673
median20160919
Q320190608
95-th percentile20210757
Maximum20210823
Range139616
Interquartile range (IQR)99935

Descriptive statistics

Standard deviation54853.711
Coefficient of variation (CV)0.0027231663
Kurtosis-1.9167188
Mean20143357
Median Absolute Deviation (MAD)49904
Skewness-0.040432296
Sum3.0215035 × 108
Variance3.0089296 × 109
MonotonicityStrictly increasing
2024-04-06T20:13:14.437041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
20071207 1
 
4.0%
20080131 1
 
4.0%
20080430 1
 
4.0%
20090428 1
 
4.0%
20090918 1
 
4.0%
20100402 1
 
4.0%
20110917 1
 
4.0%
20160919 1
 
4.0%
20171206 1
 
4.0%
20180801 1
 
4.0%
Other values (5) 5
20.0%
(Missing) 10
40.0%
ValueCountFrequency (%)
20071207 1
4.0%
20080131 1
4.0%
20080430 1
4.0%
20090428 1
4.0%
20090918 1
4.0%
20100402 1
4.0%
20110917 1
4.0%
20160919 1
4.0%
20171206 1
4.0%
20180801 1
4.0%
ValueCountFrequency (%)
20210823 1
4.0%
20210729 1
4.0%
20210223 1
4.0%
20190905 1
4.0%
20190311 1
4.0%
20180801 1
4.0%
20171206 1
4.0%
20160919 1
4.0%
20110917 1
4.0%
20100402 1
4.0%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)100.0%
Memory size357.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03190000CDFF521103200700000120071207<NA>1영업/정상13영업중<NA><NA><NA><NA>816-0370<NA><NA>서울특별시 동작구 대방동 ***-*번지 한성빌딩 ***호서울특별시 동작구 대방동**가길 **, ***호 (대방동,한성빌딩)<NA>(주)시네마캠프2010-05-10 14:35:29I2018-08-31 23:59:59.0<NA>193165.596874444637.359368영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20071207<NA>
13190000CDFF521103200800000120080131<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7017-3321<NA>156816서울특별시 동작구 사당동 ***-**번지 골든시네마 *층서울특별시 동작구 동작대로 ** (사당동,골든시네마 *층)<NA>(주)씨에이엔2010-05-10 14:42:07I2018-08-31 23:59:59.0<NA>198295.843258442507.699069영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080131<NA>
23190000CDFF521103200800000220080430<NA>1영업/정상13영업중<NA><NA><NA><NA>2055-2547<NA>156827서울특별시 동작구 사당동 ****-**번지 옥암빌딩 *층서울특별시 동작구 남부순환로 **** (사당동,옥암빌딩 *층)<NA>(주)더그2010-05-10 14:47:40I2018-08-31 23:59:59.0<NA>197477.315759441543.537611영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080430<NA>
33190000CDFF521103200900000120090428<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 **-**번지 지하*층서울특별시 동작구 동작대로**가길 ** (사당동,지하*층)<NA>(주)영화사민들레2012-03-20 08:01:30I2018-08-31 23:59:59.0<NA>198316.072698443179.412908영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090428<NA>
43190000CDFF521103200900000220090918<NA>1영업/정상13영업중<NA><NA><NA><NA>325-7060<NA>156829서울특별시 동작구 사당동 **-**번지 건화빌딩 *층서울특별시 동작구 동작대로**길 ** (사당동,건화빌딩 *층)<NA>(주)비오비시네마2010-05-10 15:01:26I2018-08-31 23:59:59.0<NA>198283.995421443211.324446영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090918<NA>
53190000CDFF521103201000000120100402<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>156849서울특별시 동작구 신대방동 ***-**번지 캐릭터그린빌 ****호서울특별시 동작구 보라매로*가길 *, ****호 (신대방동,캐릭터그린빌)<NA>DMZ Pictures2010-05-07 17:53:58I2018-08-31 23:59:59.0<NA>193300.832516443302.417673영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20100402<NA>
63190000CDFF521103201100000120110917<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7017-3314<NA><NA>서울특별시 동작구 사당동 ***-**번지 골든시네마타워 **층서울특별시 동작구 동작대로 ** (사당동,골든시네마타워 **층)<NA>(주)엣나인필름2014-02-03 17:32:25I2018-08-31 23:59:59.0<NA>198295.843258442507.699069영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110917<NA>
73190000CDFF52110320150000012015-09-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3289-2668<NA><NA>서울특별시 동작구 신대방동 ***-**서울특별시 동작구 보라매로*길 ** (신대방동, 삼성보라매옴니타워)7071주식회사 케이티알파2024-02-08 13:13:05U2023-12-01 23:01:00.0<NA>193176.636676443379.171346<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83190000CDFF521103201600000120160919<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 *** 신동아아파트서울특별시 동작구 동작대로**길 ***, ***동 ****호 (사당동, 신동아아파트)6998씨콘박스2022-03-11 10:00:01U2022-03-13 02:40:00.0<NA>197802.054854443049.471475영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160919<NA>
93190000CDFF521103201700000320171206<NA>3폐업3폐업20220126<NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-** 두성빌라*차서울특별시 동작구 성대로**가길 **, ***호 (상도동, 두성빌라*차)7045주)유어스토리컴퍼니2022-01-26 16:40:53U2022-01-28 02:40:00.0<NA>194435.819028443759.946089영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20171206<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
153190000CDFF52110320200000022020-08-24<NA>3폐업3폐업2023-02-10<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 ***서울특별시 동작구 사당로*라길 ** (사당동)7029영화사앙2023-02-14 15:49:47U2022-12-01 23:06:00.0<NA>196729.926197443029.580447<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
163190000CDFF521103202100000120210223<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7017-3314<NA><NA>서울특별시 동작구 사당동 ***-** 골든시네마타워서울특별시 동작구 동작대로 **, 골든시네마타워 **층 (사당동)7013사단법인 영화수입배급사협회2021-02-23 20:11:00I2021-02-25 00:23:01.0<NA>198295.843258442507.699069영화배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20210223<NA>
173190000CDFF521103202100000220210729<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 본동 *** 신동아아파트서울특별시 동작구 매봉로 ***, *동 ***호 (본동, 신동아아파트)6906아임 파인2021-07-29 14:23:24I2021-07-31 00:22:51.0<NA>195669.679797445275.20796영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20210729<NA>
183190000CDFF521103202100000320210823<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 ***-** 이수자이서울특별시 동작구 사당로 ***, ***호 (사당동, 이수자이)7013(주)뮤직앤아트컴퍼니2021-08-23 08:59:58I2021-08-25 00:22:50.0<NA>198202.472533442471.241038영화배급업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20210823<NA>
193190000CDFF521103202200000120190830<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 ***-**서울특별시 동작구 여의대방로**길 *, *층 (대방동)7055필름다빈2022-05-23 09:03:11U2021-12-04 22:05:00.0<NA>192919.705571444025.418072<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
203190000CDFF52110320220000022023-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-***서울특별시 동작구 국사봉*길 *** (상도동)7050풋인라이트2023-03-13 15:54:19I2022-12-02 23:05:00.0<NA>194119.753513443676.004156<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213190000CDFF521103202300000120230117<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 *** 대방*차 e-편한세상 ***동 ***호서울특별시 동작구 알마타길 **, ***동 ***호 (대방동, 대방*차 e-편한세상)6940플라시보픽쳐스2023-01-17 11:42:08I2022-11-30 23:09:00.0<NA>193830.398935445537.180196<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223190000CDFF52110320230000022023-09-07<NA>3폐업3폐업9999-12-31<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 ****-**서울특별시 동작구 사당로**길 ***, *층 (사당동)7025케이 엔터테인먼트2024-01-26 20:33:12U2023-11-30 22:08:00.0<NA>198212.638258441694.127644<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233190000CDFF52110320230000032023-11-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도*동 ***-*서울특별시 동작구 양녕로 ***-**, 지하*층 (상도*동)6965(주)이씨에스미디어2023-11-03 14:57:58I2022-11-01 00:05:00.0<NA>195228.451423444575.23039<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243190000CDFF52110320240000012024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA>050714831151<NA><NA>서울특별시 동작구 상도동 *** 상도동래미안(*차)아파트서울특별시 동작구 등용로 **, 지하*층 C-**호 (상도동, 상도동래미안(*차)아파트)6937호라스 필름 주식회사2024-01-16 09:01:20I2023-11-30 23:08:00.0<NA>194219.201793444880.903467<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>