Overview

Dataset statistics

Number of variables56
Number of observations46
Missing cells1303
Missing cells (%)50.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.1 KiB
Average record size in memory491.9 B

Variable types

Categorical16
Text6
DateTime4
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
Author금천구
URLhttps://data.seoul.go.kr/dataList/OA-17209/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (57.4%)Imbalance
지상층수 is highly imbalanced (57.4%)Imbalance
지하층수 is highly imbalanced (57.4%)Imbalance
통로너비 is highly imbalanced (57.4%)Imbalance
조명시설조도 is highly imbalanced (57.4%)Imbalance
노래방실수 is highly imbalanced (57.4%)Imbalance
청소년실수 is highly imbalanced (57.4%)Imbalance
총게임기수 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 46 (100.0%) missing valuesMissing
폐업일자 has 34 (73.9%) missing valuesMissing
휴업시작일자 has 46 (100.0%) missing valuesMissing
휴업종료일자 has 46 (100.0%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
전화번호 has 23 (50.0%) missing valuesMissing
소재지면적 has 46 (100.0%) missing valuesMissing
소재지우편번호 has 46 (100.0%) missing valuesMissing
지번주소 has 4 (8.7%) missing valuesMissing
업태구분명 has 46 (100.0%) missing valuesMissing
주변환경명 has 46 (100.0%) missing valuesMissing
제작취급품목내용 has 21 (45.7%) missing valuesMissing
시설면적 has 25 (54.3%) missing valuesMissing
건물용도명 has 46 (100.0%) missing valuesMissing
비상계단여부 has 46 (100.0%) missing valuesMissing
비상구여부 has 46 (100.0%) missing valuesMissing
자동환기여부 has 46 (100.0%) missing valuesMissing
청소년실여부 has 46 (100.0%) missing valuesMissing
특수조명여부 has 46 (100.0%) missing valuesMissing
방음시설여부 has 46 (100.0%) missing valuesMissing
비디오재생기명 has 46 (100.0%) missing valuesMissing
조명시설유무 has 46 (100.0%) missing valuesMissing
음향시설여부 has 46 (100.0%) missing valuesMissing
편의시설여부 has 46 (100.0%) missing valuesMissing
소방시설여부 has 46 (100.0%) missing valuesMissing
기존게임업외업종명 has 46 (100.0%) missing valuesMissing
제공게임물명 has 46 (100.0%) missing valuesMissing
공연장형태구분명 has 46 (100.0%) missing valuesMissing
품목명 has 46 (100.0%) missing valuesMissing
최초등록시점 has 46 (100.0%) missing valuesMissing
지역구분명 has 46 (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
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
주변환경명 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
최초등록시점 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
시설면적 has 2 (4.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:10:55.612843
Analysis finished2024-05-11 06:10:56.597346
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3170000
46 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3170000
2nd row3170000
3rd row3170000
4th row3170000
5th row3170000

Common Values

ValueCountFrequency (%)
3170000 46
100.0%

Length

2024-05-11T15:10:56.716699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:56.943979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3170000 46
100.0%

관리번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:10:57.248203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters920
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

Unique46 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000003
2nd rowCDFF3241092015000004
3rd rowCDFF3241092015000005
4th rowCDFF3241092015000006
5th rowCDFF3241092015000007
ValueCountFrequency (%)
cdff3241092015000003 1
 
2.2%
cdff3241092022000001 1
 
2.2%
cdff3241092023000006 1
 
2.2%
cdff3241092020000009 1
 
2.2%
cdff3241092021000002 1
 
2.2%
cdff3241092021000003 1
 
2.2%
cdff3241092021000004 1
 
2.2%
cdff3241092021000005 1
 
2.2%
cdff3241092021000006 1
 
2.2%
cdff3241092021000007 1
 
2.2%
Other values (36) 36
78.3%
2024-05-11T15:10:57.951524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 328
35.7%
2 130
 
14.1%
F 92
 
10.0%
1 81
 
8.8%
3 57
 
6.2%
4 53
 
5.8%
9 51
 
5.5%
C 46
 
5.0%
D 46
 
5.0%
5 13
 
1.4%
Other values (3) 23
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
80.0%
Uppercase Letter 184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 328
44.6%
2 130
 
17.7%
1 81
 
11.0%
3 57
 
7.7%
4 53
 
7.2%
9 51
 
6.9%
5 13
 
1.8%
6 9
 
1.2%
7 8
 
1.1%
8 6
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
80.0%
Latin 184
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 328
44.6%
2 130
 
17.7%
1 81
 
11.0%
3 57
 
7.7%
4 53
 
7.2%
9 51
 
6.9%
5 13
 
1.8%
6 9
 
1.2%
7 8
 
1.1%
8 6
 
0.8%
Latin
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 328
35.7%
2 130
 
14.1%
F 92
 
10.0%
1 81
 
8.8%
3 57
 
6.2%
4 53
 
5.8%
9 51
 
5.5%
C 46
 
5.0%
D 46
 
5.0%
5 13
 
1.4%
Other values (3) 23
 
2.5%

인허가일자
Date

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2015-03-12 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T15:10:58.228733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:10:58.486590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
34 
3
10 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row1
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 34
73.9%
3 10
 
21.7%
5 2
 
4.3%

Length

2024-05-11T15:10:58.701766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:58.851237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 34
73.9%
3 10
 
21.7%
5 2
 
4.3%

영업상태명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업/정상
34 
폐업
10 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.4782609
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 34
73.9%
폐업 10
 
21.7%
제외/삭제/전출 2
 
4.3%

Length

2024-05-11T15:10:59.045533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:59.236253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 34
73.9%
폐업 10
 
21.7%
제외/삭제/전출 2
 
4.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
13
34 
3
10 
15
 
2

Length

Max length2
Median length2
Mean length1.7826087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row13
4th row3
5th row13

Common Values

ValueCountFrequency (%)
13 34
73.9%
3 10
 
21.7%
15 2
 
4.3%

Length

2024-05-11T15:10:59.427075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:59.601860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 34
73.9%
3 10
 
21.7%
15 2
 
4.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업중
34 
폐업
10 
전출
 
2

Length

Max length3
Median length3
Mean length2.7391304
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 34
73.9%
폐업 10
 
21.7%
전출 2
 
4.3%

Length

2024-05-11T15:10:59.781608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:59.949648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 34
73.9%
폐업 10
 
21.7%
전출 2
 
4.3%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)91.7%
Missing34
Missing (%)73.9%
Memory size500.0 B
Minimum2015-12-02 00:00:00
Maximum2023-12-01 00:00:00
2024-05-11T15:11:00.168075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:00.366775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전화번호
Text

MISSING 

Distinct20
Distinct (%)87.0%
Missing23
Missing (%)50.0%
Memory size500.0 B
2024-05-11T15:11:00.663085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.695652
Min length11

Characters and Unicode

Total characters269
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)73.9%

Sample

1st row02-1800-6591
2nd row02-6293-9268
3rd row02-2051-7734
4th row02-547-4245
5th row02-547-4245
ValueCountFrequency (%)
02-547-4245 2
 
8.7%
070-4667-3601 2
 
8.7%
02-808-2808 2
 
8.7%
02-6332-4036 1
 
4.3%
02-1800-6591 1
 
4.3%
02-757-6988 1
 
4.3%
02-856-1009 1
 
4.3%
070-4443-1892 1
 
4.3%
02-853-9484 1
 
4.3%
02-6281-6779 1
 
4.3%
Other values (10) 10
43.5%
2024-05-11T15:11:01.252998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 45
16.7%
- 43
16.0%
2 36
13.4%
7 22
8.2%
8 21
7.8%
6 21
7.8%
4 19
7.1%
9 18
 
6.7%
5 16
 
5.9%
3 15
 
5.6%
Other values (2) 13
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 225
83.6%
Dash Punctuation 43
 
16.0%
Close Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
20.0%
2 36
16.0%
7 22
9.8%
8 21
9.3%
6 21
9.3%
4 19
8.4%
9 18
 
8.0%
5 16
 
7.1%
3 15
 
6.7%
1 12
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 269
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 45
16.7%
- 43
16.0%
2 36
13.4%
7 22
8.2%
8 21
7.8%
6 21
7.8%
4 19
7.1%
9 18
 
6.7%
5 16
 
5.9%
3 15
 
5.6%
Other values (2) 13
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 269
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 45
16.7%
- 43
16.0%
2 36
13.4%
7 22
8.2%
8 21
7.8%
6 21
7.8%
4 19
7.1%
9 18
 
6.7%
5 16
 
5.9%
3 15
 
5.6%
Other values (2) 13
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지번주소
Text

MISSING 

Distinct38
Distinct (%)90.5%
Missing4
Missing (%)8.7%
Memory size500.0 B
2024-05-11T15:11:01.602526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length30.52381
Min length19

Characters and Unicode

Total characters1282
Distinct characters94
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

Unique36 ?
Unique (%)85.7%

Sample

1st row서울특별시 금천구 가산동 ***-*
2nd row서울특별시 금천구 가산동 ***-*번지 뉴티캐슬 ***호
3rd row서울특별시 금천구 가산동 ***-**번지
4th row서울특별시 금천구 가산동 에이스 하이엔드타워* ***호
5th row서울특별시 금천구 가산동 ***-*번지
ValueCountFrequency (%)
서울특별시 42
17.7%
금천구 42
17.7%
가산동 36
15.2%
30
12.7%
호 13
 
5.5%
번지 10
 
4.2%
에이스 6
 
2.5%
대성디폴리스지식산업센터 5
 
2.1%
독산동 4
 
1.7%
가산 4
 
1.7%
Other values (34) 45
19.0%
2024-05-11T15:11:02.525321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 236
18.4%
208
16.2%
산 53
 
4.1%
동 49
 
3.8%
시 44
 
3.4%
별 43
 
3.4%
구 42
 
3.3%
울 42
 
3.3%
서 42
 
3.3%
천 42
 
3.3%
Other values (84) 481
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 774
60.4%
Other Punctuation 236
 
18.4%
Space Separator 208
 
16.2%
Dash Punctuation 40
 
3.1%
Uppercase Letter 18
 
1.4%
Decimal Number 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 53
 
6.8%
동 49
 
6.3%
시 44
 
5.7%
별 43
 
5.6%
구 42
 
5.4%
울 42
 
5.4%
서 42
 
5.4%
천 42
 
5.4%
금 42
 
5.4%
특 42
 
5.4%
Other values (65) 333
43.0%
Uppercase Letter
ValueCountFrequency (%)
T 4
22.2%
I 3
16.7%
J 2
11.1%
S 2
11.1%
R 1
 
5.6%
E 1
 
5.6%
W 1
 
5.6%
O 1
 
5.6%
K 1
 
5.6%
B 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
9 2
33.3%
5 1
16.7%
4 1
16.7%
2 1
16.7%
1 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 236
100.0%
Space Separator
ValueCountFrequency (%)
208
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 774
60.4%
Common 490
38.2%
Latin 18
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 53
 
6.8%
동 49
 
6.3%
시 44
 
5.7%
별 43
 
5.6%
구 42
 
5.4%
울 42
 
5.4%
서 42
 
5.4%
천 42
 
5.4%
금 42
 
5.4%
특 42
 
5.4%
Other values (65) 333
43.0%
Latin
ValueCountFrequency (%)
T 4
22.2%
I 3
16.7%
J 2
11.1%
S 2
11.1%
R 1
 
5.6%
E 1
 
5.6%
W 1
 
5.6%
O 1
 
5.6%
K 1
 
5.6%
B 1
 
5.6%
Common
ValueCountFrequency (%)
* 236
48.2%
208
42.4%
- 40
 
8.2%
9 2
 
0.4%
5 1
 
0.2%
4 1
 
0.2%
2 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 774
60.4%
ASCII 508
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 236
46.5%
208
40.9%
- 40
 
7.9%
T 4
 
0.8%
I 3
 
0.6%
9 2
 
0.4%
J 2
 
0.4%
S 2
 
0.4%
5 1
 
0.2%
4 1
 
0.2%
Other values (9) 9
 
1.8%
Hangul
ValueCountFrequency (%)
산 53
 
6.8%
동 49
 
6.3%
시 44
 
5.7%
별 43
 
5.6%
구 42
 
5.4%
울 42
 
5.4%
서 42
 
5.4%
천 42
 
5.4%
금 42
 
5.4%
특 42
 
5.4%
Other values (65) 333
43.0%

도로명주소
Text

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:11:02.953365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length43.130435
Min length27

Characters and Unicode

Total characters1984
Distinct characters116
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

Unique40 ?
Unique (%)87.0%

Sample

1st row서울특별시 금천구 서부샛길 ***, 에이동 ****-*호 (가산동, 대성디폴리스)
2nd row서울특별시 금천구 시흥대로 ***, ***동 ***호 (시흥동, 남서울힐스테이트)
3rd row서울특별시 금천구 시흥대로 ***, *층 (독산동)
4th row서울특별시 금천구 가산디지털*로 ***, ***호 (가산동)
5th row서울특별시 금천구 가산디지털*로 ***, ***호 (가산동, 뉴티캐슬)
ValueCountFrequency (%)
서울특별시 46
12.8%
46
12.8%
금천구 46
12.8%
호 38
10.6%
가산동 38
10.6%
가산디지털*로 23
 
6.4%
층 15
 
4.2%
에이스 6
 
1.7%
서부샛길 6
 
1.7%
독산동 5
 
1.4%
Other values (59) 89
24.9%
2024-05-11T15:11:03.608460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 353
17.8%
312
 
15.7%
산 85
 
4.3%
가 68
 
3.4%
동 59
 
3.0%
, 58
 
2.9%
서 53
 
2.7%
시 52
 
2.6%
울 47
 
2.4%
금 47
 
2.4%
Other values (106) 850
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1129
56.9%
Other Punctuation 411
 
20.7%
Space Separator 312
 
15.7%
Close Punctuation 46
 
2.3%
Open Punctuation 46
 
2.3%
Uppercase Letter 23
 
1.2%
Dash Punctuation 9
 
0.5%
Decimal Number 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 85
 
7.5%
가 68
 
6.0%
동 59
 
5.2%
서 53
 
4.7%
시 52
 
4.6%
울 47
 
4.2%
금 47
 
4.2%
별 47
 
4.2%
구 46
 
4.1%
특 46
 
4.1%
Other values (84) 579
51.3%
Uppercase Letter
ValueCountFrequency (%)
B 4
17.4%
T 4
17.4%
I 3
13.0%
A 3
13.0%
S 2
8.7%
J 2
8.7%
R 1
 
4.3%
O 1
 
4.3%
E 1
 
4.3%
W 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
2 2
25.0%
6 2
25.0%
1 2
25.0%
7 1
12.5%
5 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 353
85.9%
, 58
 
14.1%
Space Separator
ValueCountFrequency (%)
312
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1129
56.9%
Common 832
41.9%
Latin 23
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 85
 
7.5%
가 68
 
6.0%
동 59
 
5.2%
서 53
 
4.7%
시 52
 
4.6%
울 47
 
4.2%
금 47
 
4.2%
별 47
 
4.2%
구 46
 
4.1%
특 46
 
4.1%
Other values (84) 579
51.3%
Common
ValueCountFrequency (%)
* 353
42.4%
312
37.5%
, 58
 
7.0%
) 46
 
5.5%
( 46
 
5.5%
- 9
 
1.1%
2 2
 
0.2%
6 2
 
0.2%
1 2
 
0.2%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
B 4
17.4%
T 4
17.4%
I 3
13.0%
A 3
13.0%
S 2
8.7%
J 2
8.7%
R 1
 
4.3%
O 1
 
4.3%
E 1
 
4.3%
W 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1129
56.9%
ASCII 855
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 353
41.3%
312
36.5%
, 58
 
6.8%
) 46
 
5.4%
( 46
 
5.4%
- 9
 
1.1%
B 4
 
0.5%
T 4
 
0.5%
I 3
 
0.4%
A 3
 
0.4%
Other values (12) 17
 
2.0%
Hangul
ValueCountFrequency (%)
산 85
 
7.5%
가 68
 
6.0%
동 59
 
5.2%
서 53
 
4.7%
시 52
 
4.6%
울 47
 
4.2%
금 47
 
4.2%
별 47
 
4.2%
구 46
 
4.1%
특 46
 
4.1%
Other values (84) 579
51.3%

도로명우편번호
Real number (ℝ)

Distinct25
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8541.1087
Minimum8500
Maximum8656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:11:03.831831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8500
5-th percentile8501.25
Q18504
median8511
Q38588
95-th percentile8615
Maximum8656
Range156
Interquartile range (IQR)84

Descriptive statistics

Standard deviation45.862707
Coefficient of variation (CV)0.0053696433
Kurtosis-0.80877292
Mean8541.1087
Median Absolute Deviation (MAD)9
Skewness0.77023119
Sum392891
Variance2103.3879
MonotonicityNot monotonic
2024-05-11T15:11:04.029051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8504 7
15.2%
8588 3
 
6.5%
8503 3
 
6.5%
8511 3
 
6.5%
8589 3
 
6.5%
8505 3
 
6.5%
8506 3
 
6.5%
8592 2
 
4.3%
8584 2
 
4.3%
8500 2
 
4.3%
Other values (15) 15
32.6%
ValueCountFrequency (%)
8500 2
 
4.3%
8501 1
 
2.2%
8502 1
 
2.2%
8503 3
6.5%
8504 7
15.2%
8505 3
6.5%
8506 3
6.5%
8507 1
 
2.2%
8510 1
 
2.2%
8511 3
6.5%
ValueCountFrequency (%)
8656 1
 
2.2%
8637 1
 
2.2%
8619 1
 
2.2%
8603 1
 
2.2%
8592 2
4.3%
8591 1
 
2.2%
8590 1
 
2.2%
8589 3
6.5%
8588 3
6.5%
8584 2
4.3%

사업장명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:11:04.377546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length16
Mean length11.586957
Min length3

Characters and Unicode

Total characters533
Distinct characters136
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

Unique46 ?
Unique (%)100.0%

Sample

1st row지나엔터테인먼트 주식회사
2nd row(주)케이엔미디어그룹
3rd row주식회사 스타덤
4th row뮤직카로마
5th row(주)뮤직카로마
ValueCountFrequency (%)
주식회사 21
26.2%
엔터테인먼트 4
 
5.0%
entertainment 2
 
2.5%
스타플렉스브이알 1
 
1.2%
aw엔터테인먼트 1
 
1.2%
얼라이브엔터테인먼트 1
 
1.2%
다나크리에이티브이엔티 1
 
1.2%
빅스타 1
 
1.2%
오버더문브릿지컴퍼니(over 1
 
1.2%
the 1
 
1.2%
Other values (46) 46
57.5%
2024-05-11T15:11:05.052971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
6.4%
주 30
 
5.6%
사 22
 
4.1%
식 21
 
3.9%
회 21
 
3.9%
스 19
 
3.6%
엔 17
 
3.2%
트 16
 
3.0%
이 15
 
2.8%
인 15
 
2.8%
Other values (126) 323
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 401
75.2%
Lowercase Letter 59
 
11.1%
Space Separator 34
 
6.4%
Uppercase Letter 15
 
2.8%
Open Punctuation 12
 
2.3%
Close Punctuation 12
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 30
 
7.5%
사 22
 
5.5%
식 21
 
5.2%
회 21
 
5.2%
스 19
 
4.7%
엔 17
 
4.2%
트 16
 
4.0%
이 15
 
3.7%
인 15
 
3.7%
터 13
 
3.2%
Other values (95) 212
52.9%
Lowercase Letter
ValueCountFrequency (%)
n 9
15.3%
e 9
15.3%
t 8
13.6%
i 5
8.5%
r 4
6.8%
o 4
6.8%
d 3
 
5.1%
u 3
 
5.1%
m 3
 
5.1%
h 2
 
3.4%
Other values (7) 9
15.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
13.3%
O 2
13.3%
M 2
13.3%
E 2
13.3%
P 1
6.7%
N 1
6.7%
Y 1
6.7%
C 1
6.7%
S 1
6.7%
D 1
6.7%
Space Separator
ValueCountFrequency (%)
34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 401
75.2%
Latin 74
 
13.9%
Common 58
 
10.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 30
 
7.5%
사 22
 
5.5%
식 21
 
5.2%
회 21
 
5.2%
스 19
 
4.7%
엔 17
 
4.2%
트 16
 
4.0%
이 15
 
3.7%
인 15
 
3.7%
터 13
 
3.2%
Other values (95) 212
52.9%
Latin
ValueCountFrequency (%)
n 9
 
12.2%
e 9
 
12.2%
t 8
 
10.8%
i 5
 
6.8%
r 4
 
5.4%
o 4
 
5.4%
d 3
 
4.1%
u 3
 
4.1%
m 3
 
4.1%
h 2
 
2.7%
Other values (18) 24
32.4%
Common
ValueCountFrequency (%)
34
58.6%
( 12
 
20.7%
) 12
 
20.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 401
75.2%
ASCII 132
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
25.8%
( 12
 
9.1%
) 12
 
9.1%
n 9
 
6.8%
e 9
 
6.8%
t 8
 
6.1%
i 5
 
3.8%
r 4
 
3.0%
o 4
 
3.0%
d 3
 
2.3%
Other values (21) 32
24.2%
Hangul
ValueCountFrequency (%)
주 30
 
7.5%
사 22
 
5.5%
식 21
 
5.2%
회 21
 
5.2%
스 19
 
4.7%
엔 17
 
4.2%
트 16
 
4.0%
이 15
 
3.7%
인 15
 
3.7%
터 13
 
3.2%
Other values (95) 212
52.9%

최종수정일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2015-05-26 10:59:48
Maximum2024-04-09 16:26:52
2024-05-11T15:11:05.343366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:05.607322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

데이터갱신구분
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
I
25 
U
20 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
I 25
54.3%
U 20
43.5%
D 1
 
2.2%

Length

2024-05-11T15:11:05.880942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:06.064426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 25
54.3%
u 20
43.5%
d 1
 
2.2%

데이터갱신일자
Date

Distinct34
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:06:00
2024-05-11T15:11:06.227138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:11:06.449221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌표정보(X)
Real number (ℝ)

Distinct33
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189770.94
Minimum188927.95
Maximum192264.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:11:06.663102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188927.95
5-th percentile189055.14
Q1189202.6
median189444.89
Q3189947.82
95-th percentile191539.14
Maximum192264.66
Range3336.711
Interquartile range (IQR)745.22038

Descriptive statistics

Standard deviation809.95917
Coefficient of variation (CV)0.0042680886
Kurtosis1.5617021
Mean189770.94
Median Absolute Deviation (MAD)313.26978
Skewness1.481202
Sum8729463.1
Variance656033.86
MonotonicityNot monotonic
2024-05-11T15:11:06.893658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
189055.138252216 5
 
10.9%
189202.600232089 3
 
6.5%
189417.678263584 3
 
6.5%
189678.284548834 2
 
4.3%
189722.178532426 2
 
4.3%
190694.880295092 2
 
4.3%
189065.818334596 2
 
4.3%
189364.095969911 2
 
4.3%
189158.740846154 1
 
2.2%
189975.894746956 1
 
2.2%
Other values (23) 23
50.0%
ValueCountFrequency (%)
188927.953883941 1
 
2.2%
189055.138252216 5
10.9%
189065.818334596 2
 
4.3%
189121.484597 1
 
2.2%
189158.740846154 1
 
2.2%
189174.558570016 1
 
2.2%
189202.600232089 3
6.5%
189314.711435401 1
 
2.2%
189350.592434703 1
 
2.2%
189364.095969911 2
 
4.3%
ValueCountFrequency (%)
192264.664847991 1
2.2%
191773.277117605 1
2.2%
191604.779985418 1
2.2%
191342.238715 1
2.2%
190977.407864547 1
2.2%
190845.564217893 1
2.2%
190694.880295092 2
4.3%
190573.847842989 1
2.2%
190285.043911982 1
2.2%
190185.054136417 1
2.2%

좌표정보(Y)
Real number (ℝ)

Distinct33
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441480.83
Minimum438676.27
Maximum442636.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:11:07.152590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438676.27
5-th percentile439760.31
Q1441189.45
median441746.98
Q3441958.33
95-th percentile442338.14
Maximum442636.32
Range3960.055
Interquartile range (IQR)768.88607

Descriptive statistics

Standard deviation858.06977
Coefficient of variation (CV)0.0019436173
Kurtosis3.1189284
Mean441480.83
Median Absolute Deviation (MAD)415.88201
Skewness-1.6377536
Sum20308118
Variance736283.73
MonotonicityNot monotonic
2024-05-11T15:11:07.387712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
441958.334400683 5
 
10.9%
441848.24299943 3
 
6.5%
441342.660096623 3
 
6.5%
441134.747749945 2
 
4.3%
441920.972770099 2
 
4.3%
440764.426277932 2
 
4.3%
442338.144130222 2
 
4.3%
441746.981529543 2
 
4.3%
442283.977342742 1
 
2.2%
440742.223479611 1
 
2.2%
Other values (23) 23
50.0%
ValueCountFrequency (%)
438676.265147281 1
2.2%
438823.968061 1
2.2%
439625.973169526 1
2.2%
440163.317524379 1
2.2%
440432.533274402 1
2.2%
440742.223479611 1
2.2%
440764.426277932 2
4.3%
441031.953747639 1
2.2%
441134.747749945 2
4.3%
441176.227446057 1
2.2%
ValueCountFrequency (%)
442636.320100968 1
2.2%
442585.933234852 1
2.2%
442338.144130222 2
4.3%
442286.322159 1
2.2%
442283.977342742 1
2.2%
442185.60251889 1
2.2%
442174.424111843 1
2.2%
442143.206055455 1
2.2%
442066.99866487 1
2.2%
441982.427934953 1
2.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
대중문화예술기획업
25 
<NA>
21 

Length

Max length9
Median length9
Mean length6.7173913
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 25
54.3%
<NA> 21
45.7%

Length

2024-05-11T15:11:07.630358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:07.820457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 25
54.3%
na 21
45.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
유통관련업
25 
<NA>
21 

Length

Max length5
Median length5
Mean length4.5434783
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 25
54.3%
<NA> 21
45.7%

Length

2024-05-11T15:11:07.972203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:08.152728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 25
54.3%
na 21
45.7%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-05-11T15:11:08.356224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:08.531606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

제작취급품목내용
Text

MISSING 

Distinct20
Distinct (%)80.0%
Missing21
Missing (%)45.7%
Memory size500.0 B
2024-05-11T15:11:08.853224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length113
Median length23
Mean length17.84
Min length4

Characters and Unicode

Total characters446
Distinct characters86
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)64.0%

Sample

1st row엔터테인먼트
2nd row방송및영상물제작, 연예대행업 등
3rd row음반제작
4th row음원유통, 공연알선업, 엔터테인먼트
5th row음원유통, 공연알선업, 엔터테인먼트
ValueCountFrequency (%)
엔터테인먼트 8
 
9.6%
및 7
 
8.4%
음반제작 5
 
6.0%
연예매니지먼트 3
 
3.6%
매니지먼트 2
 
2.4%
매니저업 2
 
2.4%
제작 2
 
2.4%
사업 2
 
2.4%
에이전시 2
 
2.4%
광고대행업 2
 
2.4%
Other values (45) 48
57.8%
2024-05-11T15:11:09.587158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
13.0%
, 39
 
8.7%
업 20
 
4.5%
연 17
 
3.8%
트 16
 
3.6%
먼 15
 
3.4%
매 13
 
2.9%
작 12
 
2.7%
인 11
 
2.5%
제 11
 
2.5%
Other values (76) 234
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
78.3%
Space Separator 58
 
13.0%
Other Punctuation 39
 
8.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 20
 
5.7%
연 17
 
4.9%
트 16
 
4.6%
먼 15
 
4.3%
매 13
 
3.7%
작 12
 
3.4%
인 11
 
3.2%
제 11
 
3.2%
니 10
 
2.9%
예 10
 
2.9%
Other values (74) 214
61.3%
Space Separator
ValueCountFrequency (%)
58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
78.3%
Common 97
 
21.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 20
 
5.7%
연 17
 
4.9%
트 16
 
4.6%
먼 15
 
4.3%
매 13
 
3.7%
작 12
 
3.4%
인 11
 
3.2%
제 11
 
3.2%
니 10
 
2.9%
예 10
 
2.9%
Other values (74) 214
61.3%
Common
ValueCountFrequency (%)
58
59.8%
, 39
40.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
78.3%
ASCII 97
 
21.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
59.8%
, 39
40.2%
Hangul
ValueCountFrequency (%)
업 20
 
5.7%
연 17
 
4.9%
트 16
 
4.6%
먼 15
 
4.3%
매 13
 
3.7%
작 12
 
3.4%
인 11
 
3.2%
제 11
 
3.2%
니 10
 
2.9%
예 10
 
2.9%
Other values (74) 214
61.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)85.7%
Missing25
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean160.46857
Minimum0
Maximum1775.65
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:11:09.929869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.5
median46.28
Q3131.61
95-th percentile304.86
Maximum1775.65
Range1775.65
Interquartile range (IQR)115.11

Descriptive statistics

Standard deviation380.9035
Coefficient of variation (CV)2.3736954
Kurtosis18.347941
Mean160.46857
Median Absolute Deviation (MAD)42.28
Skewness4.1847676
Sum3369.84
Variance145087.48
MonotonicityNot monotonic
2024-05-11T15:11:10.191374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
304.86 2
 
4.3%
0.0 2
 
4.3%
4.0 2
 
4.3%
16.52 1
 
2.2%
42.9 1
 
2.2%
16.5 1
 
2.2%
56.16 1
 
2.2%
29.75 1
 
2.2%
84.78 1
 
2.2%
118.45 1
 
2.2%
Other values (8) 8
 
17.4%
(Missing) 25
54.3%
ValueCountFrequency (%)
0.0 2
4.3%
4.0 2
4.3%
13.2 1
2.2%
16.5 1
2.2%
16.52 1
2.2%
29.75 1
2.2%
33.0 1
2.2%
42.9 1
2.2%
46.28 1
2.2%
56.16 1
2.2%
ValueCountFrequency (%)
1775.65 1
2.2%
304.86 2
4.3%
171.67 1
2.2%
143.65 1
2.2%
131.61 1
2.2%
118.45 1
2.2%
84.78 1
2.2%
72.0 1
2.2%
56.16 1
2.2%
46.28 1
2.2%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-05-11T15:11:10.429648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:10.589106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-05-11T15:11:10.749507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:10.903709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-05-11T15:11:11.058821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:11.223881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-05-11T15:11:11.406208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:11.556153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-05-11T15:11:11.733398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:11.894868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-05-11T15:11:12.070962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:12.230794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
0
 
4

Length

Max length4
Median length4
Mean length3.7391304
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
0 4
 
8.7%

Length

2024-05-11T15:11:12.403596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:11:12.545560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
0 4
 
8.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03170000CDFF324109201500000320150518<NA>3폐업3폐업20151202<NA><NA><NA>02-1800-6591<NA><NA><NA>서울특별시 금천구 서부샛길 ***, 에이동 ****-*호 (가산동, 대성디폴리스)8504지나엔터테인먼트 주식회사2015-12-02 16:14:37I2018-08-31 23:59:59.0<NA>189121.484597442286.322159대중문화예술기획업유통관련업<NA><NA>엔터테인먼트46.28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13170000CDFF324109201500000420150526<NA>3폐업3폐업20211022<NA><NA><NA>02-6293-9268<NA><NA><NA>서울특별시 금천구 시흥대로 ***, ***동 ***호 (시흥동, 남서울힐스테이트)8637(주)케이엔미디어그룹2021-10-22 17:43:13U2021-10-24 02:40:00.0<NA>191342.238715438823.968061대중문화예술기획업유통관련업<NA><NA>방송및영상물제작, 연예대행업 등84.78<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23170000CDFF324109201500000520150312<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2051-7734<NA><NA><NA>서울특별시 금천구 시흥대로 ***, *층 (독산동)8603주식회사 스타덤2015-05-26 10:59:48I2018-08-31 23:59:59.0<NA>190845.564218440432.533274대중문화예술기획업유통관련업<NA><NA>음반제작1775.65<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33170000CDFF324109201500000620150713<NA>3폐업3폐업20200325<NA><NA><NA>02-547-4245<NA><NA>서울특별시 금천구 가산동 ***-*서울특별시 금천구 가산디지털*로 ***, ***호 (가산동)8506뮤직카로마2021-08-24 17:40:22U2021-08-26 02:40:00.0<NA>189364.09597441746.98153대중문화예술기획업유통관련업0<NA>음원유통, 공연알선업, 엔터테인먼트131.6100<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43170000CDFF324109201500000720150713<NA>1영업/정상13영업중<NA><NA><NA><NA>02-547-4245<NA><NA>서울특별시 금천구 가산동 ***-*번지 뉴티캐슬 ***호서울특별시 금천구 가산디지털*로 ***, ***호 (가산동, 뉴티캐슬)8506(주)뮤직카로마2019-08-12 07:48:22U2019-08-14 02:40:00.0<NA>189364.09597441746.98153대중문화예술기획업유통관련업<NA><NA>음원유통, 공연알선업, 엔터테인먼트16.52<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53170000CDFF324109201500000820151201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-**번지서울특별시 금천구 남부순환로***길 ** (가산동)8528케이엠비 엔터테인먼트2017-10-16 12:11:00I2018-08-31 23:59:59.0<NA>190573.847843441717.067269대중문화예술기획업유통관련업<NA><NA>모델에이전시42.9<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63170000CDFF324109201500000920151207<NA>1영업/정상13영업중<NA><NA><NA><NA>07077954757<NA><NA>서울특별시 금천구 가산동 에이스 하이엔드타워* ***호서울특별시 금천구 가산디지털*로 **, ***호 (가산동, 에이스 하이엔드타워*)8588매그네틱 엔터테인먼트2016-04-21 13:04:43I2018-08-31 23:59:59.0<NA>189417.678264441342.660097대중문화예술기획업유통관련업<NA><NA>매니지먼트, 공연기획16.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73170000CDFF324109201600000120160217<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2038-3700<NA><NA>서울특별시 금천구 가산동 ***-*번지서울특별시 금천구 가산디지털*로 ***, ***호 (가산동, 에이스하이엔드타워*차)8501씨티지글로벌 주식회사2016-02-17 10:42:55I2018-08-31 23:59:59.0<NA>189174.55857442636.320101대중문화예술기획업유통관련업<NA><NA>연예, 스포츠 에이전시 및 엔터테인먼트 사업56.16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83170000CDFF324109201600000220160726<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6959-3359<NA><NA>서울특별시 금천구 가산동 ***-**번지 ***호서울특별시 금천구 가산디지털*로 **, ***호 (가산동, 파트너스타워)8589주식회사 에스앤에스모바일2016-07-26 09:26:15I2018-08-31 23:59:59.0<NA>189700.026949441229.110999대중문화예술기획업유통관련업<NA><NA>엔터테인먼트, 음반제작, 광고, 모델29.75<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93170000CDFF324109201600000320161125<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6348-5993<NA><NA><NA>서울특별시 금천구 가산디지털*로 ***, ****동 ***호 (가산동, 월드메르디앙*차)8505주식회사 넥스트레벨엔터테인먼트2016-11-25 13:51:11I2018-08-31 23:59:59.0<NA>189202.600232441848.242999대중문화예술기획업유통관련업<NA><NA>음반기획, 제작 및 유통업4.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
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373170000CDFF324109202200000520220902<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 월드메르디앙*차서울특별시 금천구 가산디지털*로 ***, 월드메르디앙*차 *층 ***호 (가산동)8505(주)가인미가그룹2022-09-02 14:51:10I2021-12-09 00:04:00.0<NA>189202.600232441848.242999<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383170000CDFF324109202200000620221014<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4667-3601<NA><NA>서울특별시 금천구 가산동 ***-** 에이스 하이엔드타워*서울특별시 금천구 가산디지털*로 **, 에이스 하이엔드타워* ****호 (가산동)8588(주)파스타엔터테인먼트2022-10-14 09:02:21I2021-10-30 23:06:00.0<NA>189417.678264441342.660097<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393170000CDFF324109202200000720221024<NA>1영업/정상13영업중<NA><NA><NA><NA>02-757-6988<NA><NA>서울특별시 금천구 가산동 **-** 스타밸리서울특별시 금천구 디지털로*길 **, 스타밸리 *층 ***호 (가산동)8510본좌 Entertainment2022-10-24 13:03:04I2021-10-30 22:06:00.0<NA>189748.024164442174.424112<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403170000CDFF324109202300000120200911<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 459-29 에이스 K1타워서울특별시 금천구 가산디지털2로 166, 에이스 K1타워 725호 (가산동)8503아몽아트드림2023-01-04 17:13:55I2022-12-01 00:06:00.0<NA>189158.740846442283.977343<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413170000CDFF32410920230000022023-02-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-577-1196<NA><NA>서울특별시 금천구 가산동 ***-** 가산 하우스디 와이즈타워 ***호서울특별시 금천구 가산디지털*로 **-**, 가산 하우스디 와이즈타워 ***호 (가산동)8592(주)프라우드나인2023-02-02 10:28:24I2022-12-02 00:04:00.0<NA>189678.284549441134.74775<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423170000CDFF32410920230000032021-07-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 *** 에이스하이엔드타워**서울특별시 금천구 가산디지털*로 **, 에이스하이엔드타워** B***,B***호 (가산동)8591뮤즈와인드사운드(Muzewind Sound)2023-03-17 10:26:05I2022-12-02 23:09:00.0<NA>189975.894747440742.22348<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433170000CDFF32410920230000052022-01-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** 가산 하우스디 와이즈타워서울특별시 금천구 가산디지털*로 **-**, 가산 하우스디 와이즈타워 ***호 (가산동)8592주식회사 범엔터테인먼트2023-11-16 17:45:12U2022-10-31 23:08:00.0<NA>189678.284549441134.74775<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443170000CDFF32410920230000062023-06-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-* 대성디폴리스지식산업센터서울특별시 금천구 서부샛길 ***, 대성디폴리스지식산업센터 (가산동)8504플레임에이치2023-12-05 17:41:14U2022-11-02 00:07:00.0<NA>189055.138252441958.334401<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453170000CDFF32410920240000012024-04-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 금천구 가산동 ***-** 유미어스 A동 ***호서울특별시 금천구 가산디지털*로 ***-**, 유미어스 A동 ***호 (가산동)8504아워뮤직 엔터테인먼트2024-04-04 13:53:59I2023-12-04 00:06:00.0<NA>188927.953884442185.602519<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>