Overview

Dataset statistics

Number of variables56
Number of observations60
Missing cells1605
Missing cells (%)47.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.8 KiB
Average record size in memory491.2 B

Variable types

Categorical18
Text6
DateTime4
Unsupported24
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
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-17206/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (87.8%)Imbalance
휴업종료일자 is highly imbalanced (87.8%)Imbalance
총층수 is highly imbalanced (64.7%)Imbalance
지상층수 is highly imbalanced (64.7%)Imbalance
지하층수 is highly imbalanced (64.7%)Imbalance
통로너비 is highly imbalanced (64.7%)Imbalance
조명시설조도 is highly imbalanced (64.7%)Imbalance
노래방실수 is highly imbalanced (64.7%)Imbalance
청소년실수 is highly imbalanced (64.7%)Imbalance
총게임기수 is highly imbalanced (64.7%)Imbalance
인허가취소일자 has 60 (100.0%) missing valuesMissing
폐업일자 has 46 (76.7%) missing valuesMissing
재개업일자 has 60 (100.0%) missing valuesMissing
전화번호 has 45 (75.0%) missing valuesMissing
소재지면적 has 60 (100.0%) missing valuesMissing
소재지우편번호 has 60 (100.0%) missing valuesMissing
업태구분명 has 60 (100.0%) missing valuesMissing
주변환경명 has 60 (100.0%) missing valuesMissing
제작취급품목내용 has 25 (41.7%) missing valuesMissing
시설면적 has 49 (81.7%) missing valuesMissing
건물용도명 has 60 (100.0%) missing valuesMissing
비상계단여부 has 60 (100.0%) missing valuesMissing
비상구여부 has 60 (100.0%) missing valuesMissing
자동환기여부 has 60 (100.0%) missing valuesMissing
청소년실여부 has 60 (100.0%) missing valuesMissing
특수조명여부 has 60 (100.0%) missing valuesMissing
방음시설여부 has 60 (100.0%) missing valuesMissing
비디오재생기명 has 60 (100.0%) missing valuesMissing
조명시설유무 has 60 (100.0%) missing valuesMissing
음향시설여부 has 60 (100.0%) missing valuesMissing
편의시설여부 has 60 (100.0%) missing valuesMissing
소방시설여부 has 60 (100.0%) missing valuesMissing
기존게임업외업종명 has 60 (100.0%) missing valuesMissing
제공게임물명 has 60 (100.0%) missing valuesMissing
공연장형태구분명 has 60 (100.0%) missing valuesMissing
품목명 has 60 (100.0%) missing valuesMissing
최초등록시점 has 60 (100.0%) missing valuesMissing
지역구분명 has 60 (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
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 4 (6.7%) zerosZeros

Reproduction

Analysis started2024-05-11 06:07:05.092536
Analysis finished2024-05-11 06:07:06.135056
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
3140000
60 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 60
100.0%

Length

2024-05-11T15:07:06.259040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:06.415793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 60
100.0%

관리번호
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T15:07:06.697833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1200
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

Unique60 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000002
2nd rowCDFF3241092015000004
3rd rowCDFF3241092015000005
4th rowCDFF3241092015000006
5th rowCDFF3241092015000008
ValueCountFrequency (%)
cdff3241092015000002 1
 
1.7%
cdff3241092015000004 1
 
1.7%
cdff3241092022000001 1
 
1.7%
cdff3241092020000003 1
 
1.7%
cdff3241092020000004 1
 
1.7%
cdff3241092020000005 1
 
1.7%
cdff3241092021000001 1
 
1.7%
cdff3241092021000002 1
 
1.7%
cdff3241092021000003 1
 
1.7%
cdff3241092021000004 1
 
1.7%
Other values (50) 50
83.3%
2024-05-11T15:07:07.364691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 417
34.8%
2 169
14.1%
F 120
 
10.0%
1 117
 
9.8%
3 73
 
6.1%
4 71
 
5.9%
9 68
 
5.7%
C 60
 
5.0%
D 60
 
5.0%
5 22
 
1.8%
Other values (3) 23
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 960
80.0%
Uppercase Letter 240
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 417
43.4%
2 169
17.6%
1 117
 
12.2%
3 73
 
7.6%
4 71
 
7.4%
9 68
 
7.1%
5 22
 
2.3%
6 9
 
0.9%
7 8
 
0.8%
8 6
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 120
50.0%
C 60
25.0%
D 60
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 960
80.0%
Latin 240
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 417
43.4%
2 169
17.6%
1 117
 
12.2%
3 73
 
7.6%
4 71
 
7.4%
9 68
 
7.1%
5 22
 
2.3%
6 9
 
0.9%
7 8
 
0.8%
8 6
 
0.6%
Latin
ValueCountFrequency (%)
F 120
50.0%
C 60
25.0%
D 60
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 417
34.8%
2 169
14.1%
F 120
 
10.0%
1 117
 
9.8%
3 73
 
6.1%
4 71
 
5.9%
9 68
 
5.7%
C 60
 
5.0%
D 60
 
5.0%
5 22
 
1.8%
Other values (3) 23
 
1.9%

인허가일자
Date

Distinct56
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2015-04-07 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T15:07:07.609912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:07.850323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
1
45 
3
7 
5
7 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 45
75.0%
3 7
 
11.7%
5 7
 
11.7%
2 1
 
1.7%

Length

2024-05-11T15:07:08.055355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:08.237100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
75.0%
3 7
 
11.7%
5 7
 
11.7%
2 1
 
1.7%

영업상태명
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
영업/정상
45 
폐업
7 
제외/삭제/전출
7 
휴업
 
1

Length

Max length8
Median length5
Mean length4.95
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 45
75.0%
폐업 7
 
11.7%
제외/삭제/전출 7
 
11.7%
휴업 1
 
1.7%

Length

2024-05-11T15:07:08.454394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:08.655888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 45
75.0%
폐업 7
 
11.7%
제외/삭제/전출 7
 
11.7%
휴업 1
 
1.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
13
45 
3
7 
15
7 
2
 
1

Length

Max length2
Median length2
Mean length1.8666667
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
13 45
75.0%
3 7
 
11.7%
15 7
 
11.7%
2 1
 
1.7%

Length

2024-05-11T15:07:08.872844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:09.070037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 45
75.0%
3 7
 
11.7%
15 7
 
11.7%
2 1
 
1.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
영업중
45 
폐업
7 
전출
7 
휴업
 
1

Length

Max length3
Median length3
Mean length2.75
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 45
75.0%
폐업 7
 
11.7%
전출 7
 
11.7%
휴업 1
 
1.7%

Length

2024-05-11T15:07:09.276648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:09.495036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 45
75.0%
폐업 7
 
11.7%
전출 7
 
11.7%
휴업 1
 
1.7%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing46
Missing (%)76.7%
Memory size612.0 B
Minimum2019-03-04 00:00:00
Maximum2024-04-16 00:00:00
2024-05-11T15:07:09.669459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:09.846904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
59 
20220118
 
1

Length

Max length8
Median length4
Mean length4.0666667
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
98.3%
20220118 1
 
1.7%

Length

2024-05-11T15:07:10.094086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:10.279341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
98.3%
20220118 1
 
1.7%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
59 
20251231
 
1

Length

Max length8
Median length4
Mean length4.0666667
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
98.3%
20251231 1
 
1.7%

Length

2024-05-11T15:07:10.478158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:10.685829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
98.3%
20251231 1
 
1.7%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing45
Missing (%)75.0%
Memory size612.0 B
2024-05-11T15:07:10.941591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.866667
Min length9

Characters and Unicode

Total characters178
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

Unique15 ?
Unique (%)100.0%

Sample

1st row02-2652-1001
2nd row2655-2634
3rd row02-707-2230
4th row070-7348-3221
5th row02-831-4163
ValueCountFrequency (%)
02-2652-1001 1
 
6.7%
2655-2634 1
 
6.7%
02-707-2230 1
 
6.7%
070-7348-3221 1
 
6.7%
02-831-4163 1
 
6.7%
02-6406-0589 1
 
6.7%
070-4837-4930 1
 
6.7%
0226422057 1
 
6.7%
070-4195-0727 1
 
6.7%
02-6745-8910 1
 
6.7%
Other values (5) 5
33.3%
2024-05-11T15:07:11.492183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34
19.1%
2 27
15.2%
- 27
15.2%
7 15
8.4%
6 14
7.9%
8 14
7.9%
4 12
 
6.7%
5 10
 
5.6%
1 10
 
5.6%
3 9
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 151
84.8%
Dash Punctuation 27
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34
22.5%
2 27
17.9%
7 15
9.9%
6 14
9.3%
8 14
9.3%
4 12
 
7.9%
5 10
 
6.6%
1 10
 
6.6%
3 9
 
6.0%
9 6
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 178
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 34
19.1%
2 27
15.2%
- 27
15.2%
7 15
8.4%
6 14
7.9%
8 14
7.9%
4 12
 
6.7%
5 10
 
5.6%
1 10
 
5.6%
3 9
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34
19.1%
2 27
15.2%
- 27
15.2%
7 15
8.4%
6 14
7.9%
8 14
7.9%
4 12
 
6.7%
5 10
 
5.6%
1 10
 
5.6%
3 9
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

지번주소
Text

Distinct55
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T15:07:11.930396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length26.9
Min length18

Characters and Unicode

Total characters1614
Distinct characters115
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)85.0%

Sample

1st row서울특별시 양천구 목동 ***번지 목동성우네트빌 ***호
2nd row서울특별시 양천구 목동 ***-*번지 현대**타워
3rd row서울특별시 양천구 신정동 ***-** 동문굿모닝탑Ⅰ
4th row서울특별시 양천구 목동 ***-**번지 티지빌딩*층
5th row서울특별시 양천구 목동 ***-***번지
ValueCountFrequency (%)
서울특별시 60
19.1%
양천구 60
19.1%
35
11.1%
목동 30
9.6%
신정동 24
 
7.6%
번지 23
 
7.3%
호 18
 
5.7%
신월동 6
 
1.9%
층 5
 
1.6%
지하*층 3
 
1.0%
Other values (45) 50
15.9%
2024-05-11T15:07:12.578404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 344
21.3%
275
17.0%
동 69
 
4.3%
시 61
 
3.8%
서 60
 
3.7%
천 60
 
3.7%
구 60
 
3.7%
울 60
 
3.7%
양 60
 
3.7%
별 60
 
3.7%
Other values (105) 505
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 893
55.3%
Other Punctuation 348
 
21.6%
Space Separator 275
 
17.0%
Dash Punctuation 59
 
3.7%
Uppercase Letter 23
 
1.4%
Decimal Number 15
 
0.9%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 69
 
7.7%
시 61
 
6.8%
서 60
 
6.7%
천 60
 
6.7%
구 60
 
6.7%
울 60
 
6.7%
양 60
 
6.7%
별 60
 
6.7%
특 60
 
6.7%
지 37
 
4.1%
Other values (84) 306
34.3%
Uppercase Letter
ValueCountFrequency (%)
M 5
21.7%
O 4
17.4%
B 4
17.4%
A 2
 
8.7%
S 2
 
8.7%
T 2
 
8.7%
L 2
 
8.7%
K 2
 
8.7%
Decimal Number
ValueCountFrequency (%)
3 3
20.0%
0 3
20.0%
2 3
20.0%
1 2
13.3%
4 2
13.3%
8 1
 
6.7%
9 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
* 344
98.9%
. 2
 
0.6%
, 2
 
0.6%
Space Separator
ValueCountFrequency (%)
275
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 893
55.3%
Common 697
43.2%
Latin 24
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 69
 
7.7%
시 61
 
6.8%
서 60
 
6.7%
천 60
 
6.7%
구 60
 
6.7%
울 60
 
6.7%
양 60
 
6.7%
별 60
 
6.7%
특 60
 
6.7%
지 37
 
4.1%
Other values (84) 306
34.3%
Common
ValueCountFrequency (%)
* 344
49.4%
275
39.5%
- 59
 
8.5%
3 3
 
0.4%
0 3
 
0.4%
2 3
 
0.4%
1 2
 
0.3%
4 2
 
0.3%
. 2
 
0.3%
, 2
 
0.3%
Other values (2) 2
 
0.3%
Latin
ValueCountFrequency (%)
M 5
20.8%
O 4
16.7%
B 4
16.7%
A 2
 
8.3%
S 2
 
8.3%
T 2
 
8.3%
L 2
 
8.3%
K 2
 
8.3%
Ⅰ 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 893
55.3%
ASCII 720
44.6%
Number Forms 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 344
47.8%
275
38.2%
- 59
 
8.2%
M 5
 
0.7%
O 4
 
0.6%
B 4
 
0.6%
3 3
 
0.4%
0 3
 
0.4%
2 3
 
0.4%
1 2
 
0.3%
Other values (10) 18
 
2.5%
Hangul
ValueCountFrequency (%)
동 69
 
7.7%
시 61
 
6.8%
서 60
 
6.7%
천 60
 
6.7%
구 60
 
6.7%
울 60
 
6.7%
양 60
 
6.7%
별 60
 
6.7%
특 60
 
6.7%
지 37
 
4.1%
Other values (84) 306
34.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명주소
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T15:07:12.998338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length41.5
Mean length36.833333
Min length26

Characters and Unicode

Total characters2210
Distinct characters139
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st row서울특별시 양천구 목동서로 ***, *층 ***호 (목동, 목동성우네트빌)
2nd row서울특별시 양천구 목동동로 ***, 현대**타워 ****호 (목동)
3rd row서울특별시 양천구 목동동로 **, ***호 (신정동, 동문굿모닝탑Ⅰ)
4th row서울특별시 양천구 오목로**길 *-*, *층 (목동, 티지빌딩)
5th row서울특별시 양천구 목동중앙본로*가길 **-** (목동)
ValueCountFrequency (%)
서울특별시 60
14.2%
양천구 60
14.2%
59
13.9%
호 41
 
9.7%
목동 30
 
7.1%
신정동 24
 
5.7%
층 18
 
4.2%
신월동 6
 
1.4%
오목로 6
 
1.4%
동 5
 
1.2%
Other values (82) 115
27.1%
2024-05-11T15:07:13.695081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 376
17.0%
366
16.6%
동 107
 
4.8%
, 85
 
3.8%
목 75
 
3.4%
서 67
 
3.0%
양 63
 
2.9%
천 62
 
2.8%
시 61
 
2.8%
로 61
 
2.8%
Other values (129) 887
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1209
54.7%
Other Punctuation 463
 
21.0%
Space Separator 366
 
16.6%
Open Punctuation 60
 
2.7%
Close Punctuation 60
 
2.7%
Uppercase Letter 23
 
1.0%
Dash Punctuation 16
 
0.7%
Decimal Number 12
 
0.5%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 107
 
8.9%
목 75
 
6.2%
서 67
 
5.5%
양 63
 
5.2%
천 62
 
5.1%
시 61
 
5.0%
로 61
 
5.0%
울 60
 
5.0%
구 60
 
5.0%
특 60
 
5.0%
Other values (107) 533
44.1%
Uppercase Letter
ValueCountFrequency (%)
M 5
21.7%
B 4
17.4%
O 4
17.4%
T 2
 
8.7%
L 2
 
8.7%
S 2
 
8.7%
K 2
 
8.7%
A 2
 
8.7%
Decimal Number
ValueCountFrequency (%)
2 5
41.7%
0 2
 
16.7%
1 2
 
16.7%
8 1
 
8.3%
4 1
 
8.3%
3 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 376
81.2%
, 85
 
18.4%
. 2
 
0.4%
Space Separator
ValueCountFrequency (%)
366
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1209
54.7%
Common 977
44.2%
Latin 24
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 107
 
8.9%
목 75
 
6.2%
서 67
 
5.5%
양 63
 
5.2%
천 62
 
5.1%
시 61
 
5.0%
로 61
 
5.0%
울 60
 
5.0%
구 60
 
5.0%
특 60
 
5.0%
Other values (107) 533
44.1%
Common
ValueCountFrequency (%)
* 376
38.5%
366
37.5%
, 85
 
8.7%
( 60
 
6.1%
) 60
 
6.1%
- 16
 
1.6%
2 5
 
0.5%
0 2
 
0.2%
. 2
 
0.2%
1 2
 
0.2%
Other values (3) 3
 
0.3%
Latin
ValueCountFrequency (%)
M 5
20.8%
B 4
16.7%
O 4
16.7%
T 2
 
8.3%
L 2
 
8.3%
S 2
 
8.3%
K 2
 
8.3%
A 2
 
8.3%
Ⅰ 1
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1209
54.7%
ASCII 1000
45.2%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 376
37.6%
366
36.6%
, 85
 
8.5%
( 60
 
6.0%
) 60
 
6.0%
- 16
 
1.6%
M 5
 
0.5%
2 5
 
0.5%
B 4
 
0.4%
O 4
 
0.4%
Other values (11) 19
 
1.9%
Hangul
ValueCountFrequency (%)
동 107
 
8.9%
목 75
 
6.2%
서 67
 
5.5%
양 63
 
5.2%
천 62
 
5.1%
시 61
 
5.0%
로 61
 
5.0%
울 60
 
5.0%
구 60
 
5.0%
특 60
 
5.0%
Other values (107) 533
44.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명우편번호
Real number (ℝ)

Distinct45
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10506.45
Minimum7900
Maximum158861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T15:07:14.370193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7900
5-th percentile7936.15
Q17955
median7992.5
Q38023
95-th percentile8087.25
Maximum158861
Range150961
Interquartile range (IQR)68

Descriptive statistics

Standard deviation19477.162
Coefficient of variation (CV)1.853829
Kurtosis59.999309
Mean10506.45
Median Absolute Deviation (MAD)31.5
Skewness7.7459009
Sum630387
Variance3.7935983 × 108
MonotonicityNot monotonic
2024-05-11T15:07:14.710492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
7995 4
 
6.7%
7969 3
 
5.0%
8023 3
 
5.0%
7955 3
 
5.0%
8087 2
 
3.3%
8020 2
 
3.3%
8019 2
 
3.3%
7938 2
 
3.3%
8005 2
 
3.3%
7978 2
 
3.3%
Other values (35) 35
58.3%
ValueCountFrequency (%)
7900 1
1.7%
7910 1
1.7%
7920 1
1.7%
7937 1
1.7%
7938 2
3.3%
7943 1
1.7%
7944 1
1.7%
7945 1
1.7%
7950 1
1.7%
7951 1
1.7%
ValueCountFrequency (%)
158861 1
1.7%
8104 1
1.7%
8092 1
1.7%
8087 2
3.3%
8071 1
1.7%
8053 1
1.7%
8049 1
1.7%
8047 1
1.7%
8039 1
1.7%
8028 1
1.7%

사업장명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T15:07:15.172540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length10.716667
Min length2

Characters and Unicode

Total characters643
Distinct characters154
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

Unique60 ?
Unique (%)100.0%

Sample

1st row인이레(주)
2nd row칠리뮤직 코리아
3rd row무비스케치
4th rowCM 엔터테인먼트
5th row원사이드
ValueCountFrequency (%)
주식회사 10
 
11.4%
엔터테인먼트 5
 
5.7%
entertainment 3
 
3.4%
인이레(주 1
 
1.1%
주)케이팝스타 1
 
1.1%
앤드원콜렉티브 1
 
1.1%
엠(m)브라더스 1
 
1.1%
초이크리에이티브랩 1
 
1.1%
toin 1
 
1.1%
신유엔터테인먼트(seenew 1
 
1.1%
Other values (63) 63
71.6%
2024-05-11T15:07:15.873495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
4.4%
이 27
 
4.2%
인 26
 
4.0%
엔 24
 
3.7%
주 24
 
3.7%
트 23
 
3.6%
먼 22
 
3.4%
) 22
 
3.4%
테 22
 
3.4%
터 21
 
3.3%
Other values (144) 404
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 458
71.2%
Lowercase Letter 65
 
10.1%
Uppercase Letter 40
 
6.2%
Space Separator 28
 
4.4%
Close Punctuation 23
 
3.6%
Open Punctuation 22
 
3.4%
Other Punctuation 6
 
0.9%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 27
 
5.9%
인 26
 
5.7%
엔 24
 
5.2%
주 24
 
5.2%
트 23
 
5.0%
먼 22
 
4.8%
테 22
 
4.8%
터 21
 
4.6%
스 16
 
3.5%
사 13
 
2.8%
Other values (104) 240
52.4%
Uppercase Letter
ValueCountFrequency (%)
E 7
17.5%
S 6
15.0%
N 4
10.0%
M 3
 
7.5%
C 2
 
5.0%
T 2
 
5.0%
A 2
 
5.0%
D 2
 
5.0%
I 2
 
5.0%
W 1
 
2.5%
Other values (9) 9
22.5%
Lowercase Letter
ValueCountFrequency (%)
n 12
18.5%
t 10
15.4%
e 9
13.8%
o 7
10.8%
i 5
7.7%
a 4
 
6.2%
m 4
 
6.2%
r 3
 
4.6%
l 3
 
4.6%
d 2
 
3.1%
Other values (4) 6
9.2%
Close Punctuation
ValueCountFrequency (%)
) 22
95.7%
] 1
 
4.3%
Open Punctuation
ValueCountFrequency (%)
( 21
95.5%
[ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 458
71.2%
Latin 105
 
16.3%
Common 80
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 27
 
5.9%
인 26
 
5.7%
엔 24
 
5.2%
주 24
 
5.2%
트 23
 
5.0%
먼 22
 
4.8%
테 22
 
4.8%
터 21
 
4.6%
스 16
 
3.5%
사 13
 
2.8%
Other values (104) 240
52.4%
Latin
ValueCountFrequency (%)
n 12
 
11.4%
t 10
 
9.5%
e 9
 
8.6%
E 7
 
6.7%
o 7
 
6.7%
S 6
 
5.7%
i 5
 
4.8%
N 4
 
3.8%
a 4
 
3.8%
m 4
 
3.8%
Other values (23) 37
35.2%
Common
ValueCountFrequency (%)
28
35.0%
) 22
27.5%
( 21
26.2%
. 6
 
7.5%
7 1
 
1.2%
] 1
 
1.2%
[ 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 458
71.2%
ASCII 185
28.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
15.1%
) 22
 
11.9%
( 21
 
11.4%
n 12
 
6.5%
t 10
 
5.4%
e 9
 
4.9%
E 7
 
3.8%
o 7
 
3.8%
S 6
 
3.2%
. 6
 
3.2%
Other values (30) 57
30.8%
Hangul
ValueCountFrequency (%)
이 27
 
5.9%
인 26
 
5.7%
엔 24
 
5.2%
주 24
 
5.2%
트 23
 
5.0%
먼 22
 
4.8%
테 22
 
4.8%
터 21
 
4.6%
스 16
 
3.5%
사 13
 
2.8%
Other values (104) 240
52.4%

최종수정일자
Date

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2015-06-10 11:22:05
Maximum2024-04-24 11:26:39
2024-05-11T15:07:16.127558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:16.400324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
I
31 
U
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 31
51.7%
U 29
48.3%

Length

2024-05-11T15:07:16.694063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:16.882083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 31
51.7%
u 29
48.3%

데이터갱신일자
Date

Distinct45
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-05-11T15:07:17.087905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:07:17.335437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

좌표정보(X)
Real number (ℝ)

Distinct56
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187767.68
Minimum184512.98
Maximum189645.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T15:07:17.599259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184512.98
5-th percentile185137.6
Q1187286.84
median187921.56
Q3188584.35
95-th percentile189463.78
Maximum189645.58
Range5132.6
Interquartile range (IQR)1297.5085

Descriptive statistics

Standard deviation1236.3298
Coefficient of variation (CV)0.006584359
Kurtosis0.60297338
Mean187767.68
Median Absolute Deviation (MAD)662.79009
Skewness-0.89701942
Sum11266061
Variance1528511.4
MonotonicityNot monotonic
2024-05-11T15:07:17.835669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189645.577035228 2
 
3.3%
188584.345447275 2
 
3.3%
188493.762740612 2
 
3.3%
187925.667553697 2
 
3.3%
188585.854107151 1
 
1.7%
186861.841550692 1
 
1.7%
187141.916925565 1
 
1.7%
184619.809614881 1
 
1.7%
187629.55575511 1
 
1.7%
186852.153851552 1
 
1.7%
Other values (46) 46
76.7%
ValueCountFrequency (%)
184512.977008692 1
1.7%
184619.809614881 1
1.7%
185027.814214946 1
1.7%
185143.375565775 1
1.7%
185365.565 1
1.7%
185639.404658525 1
1.7%
185823.73002634 1
1.7%
186152.021882126 1
1.7%
186581.42064821 1
1.7%
186815.334742178 1
1.7%
ValueCountFrequency (%)
189645.577035228 2
3.3%
189519.862506193 1
1.7%
189460.827385428 1
1.7%
189456.926454153 1
1.7%
189447.055883703 1
1.7%
189266.403688297 1
1.7%
189011.488403267 1
1.7%
188957.113121688 1
1.7%
188953.066831076 1
1.7%
188716.903803486 1
1.7%

좌표정보(Y)
Real number (ℝ)

Distinct56
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447518.17
Minimum444911.61
Maximum449409.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T15:07:18.062198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444911.61
5-th percentile445865.62
Q1446779.49
median447234.3
Q3448602.32
95-th percentile449179.87
Maximum449409.47
Range4497.856
Interquartile range (IQR)1822.8326

Descriptive statistics

Standard deviation1104.5874
Coefficient of variation (CV)0.0024682515
Kurtosis-0.74811493
Mean447518.17
Median Absolute Deviation (MAD)676.84393
Skewness0.08702835
Sum26851090
Variance1220113.4
MonotonicityNot monotonic
2024-05-11T15:07:18.311869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448883.249477683 2
 
3.3%
447255.070457495 2
 
3.3%
447213.539278579 2
 
3.3%
446739.797762899 2
 
3.3%
447573.303575146 1
 
1.7%
446885.258091733 1
 
1.7%
446705.027444264 1
 
1.7%
448605.087668422 1
 
1.7%
447076.283976679 1
 
1.7%
446714.974104065 1
 
1.7%
Other values (46) 46
76.7%
ValueCountFrequency (%)
444911.609710795 1
1.7%
445541.133178236 1
1.7%
445610.277402204 1
1.7%
445879.054862903 1
1.7%
445970.196899942 1
1.7%
446127.795328854 1
1.7%
446444.996171878 1
1.7%
446530.363571267 1
1.7%
446556.014184112 1
1.7%
446647.027913243 1
1.7%
ValueCountFrequency (%)
449409.465671275 1
1.7%
449390.943275 1
1.7%
449325.917753825 1
1.7%
449172.181088664 1
1.7%
449142.281742437 1
1.7%
449130.05274239 1
1.7%
449112.890911306 1
1.7%
449058.161182466 1
1.7%
448953.445370872 1
1.7%
448932.692746342 1
1.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
대중문화예술기획업
35 
<NA>
25 

Length

Max length9
Median length9
Mean length6.9166667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 35
58.3%
<NA> 25
41.7%

Length

2024-05-11T15:07:18.541427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:18.725981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 35
58.3%
na 25
41.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
유통관련업
35 
<NA>
25 

Length

Max length5
Median length5
Mean length4.5833333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 35
58.3%
<NA> 25
41.7%

Length

2024-05-11T15:07:18.961689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:19.175624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 35
58.3%
na 25
41.7%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
56 
0
 
4

Length

Max length4
Median length4
Mean length3.8
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> 56
93.3%
0 4
 
6.7%

Length

2024-05-11T15:07:19.360327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:19.524880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
93.3%
0 4
 
6.7%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

제작취급품목내용
Text

MISSING 

Distinct31
Distinct (%)88.6%
Missing25
Missing (%)41.7%
Memory size612.0 B
2024-05-11T15:07:19.815693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length22
Mean length15.057143
Min length4

Characters and Unicode

Total characters527
Distinct characters102
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

Unique29 ?
Unique (%)82.9%

Sample

1st row모델,방송인,연예인,예술인,운동선수 등의 발굴,교육,섭외,관리,출연 및 직업소개
2nd row음반,연예매니지먼트,엔터테인먼트,공연기획
3rd row캐스팅,매니지먼트,영화제작
4th row음반기획및제작,매니지먼트,공연기획
5th row엔터테인먼트,음반,광고대행업
ValueCountFrequency (%)
엔터테인먼트 7
 
10.4%
매니지먼트 5
 
7.5%
및 4
 
6.0%
제작 3
 
4.5%
공연기획 3
 
4.5%
연예 2
 
3.0%
에이전시 2
 
3.0%
매니저업 2
 
3.0%
기획 2
 
3.0%
연예인매니지먼트 2
 
3.0%
Other values (35) 35
52.2%
2024-05-11T15:07:20.365026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 46
 
8.7%
32
 
6.1%
트 28
 
5.3%
먼 27
 
5.1%
연 22
 
4.2%
매 21
 
4.0%
니 20
 
3.8%
인 19
 
3.6%
지 16
 
3.0%
획 14
 
2.7%
Other values (92) 282
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 432
82.0%
Other Punctuation 46
 
8.7%
Space Separator 32
 
6.1%
Decimal Number 10
 
1.9%
Uppercase Letter 3
 
0.6%
Dash Punctuation 2
 
0.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 28
 
6.5%
먼 27
 
6.2%
연 22
 
5.1%
매 21
 
4.9%
니 20
 
4.6%
인 19
 
4.4%
지 16
 
3.7%
획 14
 
3.2%
기 14
 
3.2%
업 13
 
3.0%
Other values (78) 238
55.1%
Decimal Number
ValueCountFrequency (%)
3 4
40.0%
0 1
 
10.0%
1 1
 
10.0%
9 1
 
10.0%
5 1
 
10.0%
6 1
 
10.0%
4 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
P 2
66.7%
L 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 46
100.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
82.0%
Common 92
 
17.5%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 28
 
6.5%
먼 27
 
6.2%
연 22
 
5.1%
매 21
 
4.9%
니 20
 
4.6%
인 19
 
4.4%
지 16
 
3.7%
획 14
 
3.2%
기 14
 
3.2%
업 13
 
3.0%
Other values (78) 238
55.1%
Common
ValueCountFrequency (%)
, 46
50.0%
32
34.8%
3 4
 
4.3%
- 2
 
2.2%
0 1
 
1.1%
( 1
 
1.1%
1 1
 
1.1%
9 1
 
1.1%
5 1
 
1.1%
6 1
 
1.1%
Other values (2) 2
 
2.2%
Latin
ValueCountFrequency (%)
P 2
66.7%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 432
82.0%
ASCII 95
 
18.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 46
48.4%
32
33.7%
3 4
 
4.2%
- 2
 
2.1%
P 2
 
2.1%
0 1
 
1.1%
( 1
 
1.1%
1 1
 
1.1%
9 1
 
1.1%
5 1
 
1.1%
Other values (4) 4
 
4.2%
Hangul
ValueCountFrequency (%)
트 28
 
6.5%
먼 27
 
6.2%
연 22
 
5.1%
매 21
 
4.9%
니 20
 
4.6%
인 19
 
4.4%
지 16
 
3.7%
획 14
 
3.2%
기 14
 
3.2%
업 13
 
3.0%
Other values (78) 238
55.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)72.7%
Missing49
Missing (%)81.7%
Infinite0
Infinite (%)0.0%
Mean47.020909
Minimum0
Maximum168.3
Zeros4
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T15:07:20.538007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median48.06
Q361.175
95-th percentile125.73
Maximum168.3
Range168.3
Interquartile range (IQR)61.175

Descriptive statistics

Standard deviation50.317776
Coefficient of variation (CV)1.0701149
Kurtosis2.6327054
Mean47.020909
Median Absolute Deviation (MAD)35.1
Skewness1.3652443
Sum517.23
Variance2531.8786
MonotonicityNot monotonic
2024-05-11T15:07:20.724216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 4
 
6.7%
48.06 1
 
1.7%
168.3 1
 
1.7%
83.16 1
 
1.7%
56.11 1
 
1.7%
49.46 1
 
1.7%
45.9 1
 
1.7%
66.24 1
 
1.7%
(Missing) 49
81.7%
ValueCountFrequency (%)
0.0 4
6.7%
45.9 1
 
1.7%
48.06 1
 
1.7%
49.46 1
 
1.7%
56.11 1
 
1.7%
66.24 1
 
1.7%
83.16 1
 
1.7%
168.3 1
 
1.7%
ValueCountFrequency (%)
168.3 1
 
1.7%
83.16 1
 
1.7%
66.24 1
 
1.7%
56.11 1
 
1.7%
49.46 1
 
1.7%
48.06 1
 
1.7%
45.9 1
 
1.7%
0.0 4
6.7%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
56 
0
 
4

Length

Max length4
Median length4
Mean length3.8
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> 56
93.3%
0 4
 
6.7%

Length

2024-05-11T15:07:20.940992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:21.139367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
93.3%
0 4
 
6.7%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
56 
0
 
4

Length

Max length4
Median length4
Mean length3.8
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> 56
93.3%
0 4
 
6.7%

Length

2024-05-11T15:07:21.335561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:21.507808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
93.3%
0 4
 
6.7%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
56 
0
 
4

Length

Max length4
Median length4
Mean length3.8
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> 56
93.3%
0 4
 
6.7%

Length

2024-05-11T15:07:21.674694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:21.819505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
93.3%
0 4
 
6.7%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
56 
0
 
4

Length

Max length4
Median length4
Mean length3.8
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> 56
93.3%
0 4
 
6.7%

Length

2024-05-11T15:07:21.963362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:22.124474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
93.3%
0 4
 
6.7%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
56 
0
 
4

Length

Max length4
Median length4
Mean length3.8
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> 56
93.3%
0 4
 
6.7%

Length

2024-05-11T15:07:22.294277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:22.441716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
93.3%
0 4
 
6.7%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
56 
0
 
4

Length

Max length4
Median length4
Mean length3.8
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> 56
93.3%
0 4
 
6.7%

Length

2024-05-11T15:07:22.619130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:22.777745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
93.3%
0 4
 
6.7%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
56 
0
 
4

Length

Max length4
Median length4
Mean length3.8
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> 56
93.3%
0 4
 
6.7%

Length

2024-05-11T15:07:22.974527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:07:23.149184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
93.3%
0 4
 
6.7%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03140000CDFF324109201500000220150407<NA>3폐업3폐업20191226<NA><NA><NA>02-2652-1001<NA><NA>서울특별시 양천구 목동 ***번지 목동성우네트빌 ***호서울특별시 양천구 목동서로 ***, *층 ***호 (목동, 목동성우네트빌)7992인이레(주)2019-12-26 17:57:00U2019-12-28 02:40:00.0<NA>188585.854107447573.303575대중문화예술기획업유통관련업<NA><NA>모델,방송인,연예인,예술인,운동선수 등의 발굴,교육,섭외,관리,출연 및 직업소개48.06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13140000CDFF324109201500000420150430<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*번지 현대**타워서울특별시 양천구 목동동로 ***, 현대**타워 ****호 (목동)7997칠리뮤직 코리아2020-05-01 08:54:15U2020-05-03 02:40:00.0<NA>188953.066831447333.569188대중문화예술기획업유통관련업<NA><NA>음반,연예매니지먼트,엔터테인먼트,공연기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23140000CDFF324109201500000520150526<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ***-** 동문굿모닝탑Ⅰ서울특별시 양천구 목동동로 **, ***호 (신정동, 동문굿모닝탑Ⅰ)8092무비스케치2021-08-24 18:20:39U2021-08-26 02:40:00.0<NA>187619.993072445879.054863대중문화예술기획업유통관련업<NA><NA>캐스팅,매니지먼트,영화제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33140000CDFF324109201500000620150610<NA>1영업/정상13영업중<NA><NA><NA><NA>2655-2634<NA><NA>서울특별시 양천구 목동 ***-**번지 티지빌딩*층서울특별시 양천구 오목로**길 *-*, *층 (목동, 티지빌딩)8005CM 엔터테인먼트2015-06-10 11:22:05I2018-08-31 23:59:59.0<NA>188716.903803446869.328852대중문화예술기획업유통관련업<NA><NA>음반기획및제작,매니지먼트,공연기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43140000CDFF324109201500000820150630<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-***번지서울특별시 양천구 목동중앙본로*가길 **-** (목동)7954원사이드2017-05-24 14:59:15I2018-08-31 23:59:59.0<NA>188247.356877448932.692746대중문화예술기획업유통관련업<NA><NA>엔터테인먼트,음반,광고대행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53140000CDFF324109201500000920150710<NA>3폐업3폐업20200325<NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*번지 ***호서울특별시 양천구 목동중앙남로*가길 *-**, ***호 (목동)7959플레이어스(PLAYUS)2020-03-26 09:26:28U2020-03-28 02:40:00.0<NA>188004.109112448208.036843대중문화예술기획업유통관련업<NA><NA>엔터테인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63140000CDFF324109201500001020150720<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-**번지 현대드림타워 ***호서울특별시 양천구 목동동로 ***-*, ***호 (목동, 현대드림타워)7995선비레코드2015-07-20 13:18:11I2018-08-31 23:59:59.0<NA>188584.345447447255.070457대중문화예술기획업유통관련업<NA><NA>음반제작 및 연예인매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73140000CDFF324109201500001120150728<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-**번지 지앤빌딩 ***호서울특별시 양천구 공항대로 ***, ***호 (목동, 지앤빌딩)7968(주)수박이앤엠2015-07-28 09:15:57I2018-08-31 23:59:59.0<NA>189011.488403449390.943275대중문화예술기획업유통관련업<NA><NA>연예매니지먼트업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83140000CDFF324109201500001220150728<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*번지 지하*층서울특별시 양천구 목동중앙본로*길 **-** (목동, 지하*층)7955뮤직섬2015-07-28 10:48:30I2018-08-31 23:59:59.0<NA>188126.329016448634.006809대중문화예술기획업유통관련업<NA><NA>연예매니지먼트및엔터테인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93140000CDFF32410920150000142015-08-03<NA>3폐업3폐업2024-04-16<NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ***-** B*서울특별시 양천구 목동로**길 **, B*층 (신정동)7938앨리스랩2024-04-16 16:19:43U2023-12-03 23:08:00.0<NA>187626.910844447262.09335<NA><NA><NA><NA><NA><NA><NA><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
503140000CDFF324109202200000820221223<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 1320-4 이펜하우스타워 204호서울특별시 양천구 신정이펜2로 12, 이펜하우스타워 204호 (신정동)8049주식회사 쎄븐씨에떼(7S.I.E.T.E)2022-12-23 11:46:06I2021-11-01 22:05:00.0<NA>185143.375566445610.277402<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513140000CDFF32410920230000012023-06-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 ***-* 금호빌라 ***호서울특별시 양천구 남부순환로**길 **-*, ***호 (신월동, 금호빌라)8039엠티엔터테인먼트2023-06-01 09:28:58I2022-12-06 00:03:00.0<NA>185365.565446692.335<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523140000CDFF32410920230000022023-07-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-* 해신빌리지서울특별시 양천구 목동중앙북로*길 **, *층 ***호 (목동, 해신빌리지)7950서브뮤직스2023-07-07 11:19:20I2022-12-07 00:09:00.0<NA>187859.789904449409.465671<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533140000CDFF32410920230000032023-08-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-*서울특별시 양천구 목동중앙서로*가길 **, *층 ***호 (목동)7965블름 스테이지(Bloom Stage)2023-08-23 13:56:20I2022-12-07 22:05:00.0<NA>187908.613115447909.376501<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543140000CDFF32410920230000042023-10-11<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4227-0083<NA><NA>서울특별시 양천구 신정동 ***-** 덕영서울특별시 양천구 남부순환로**길 **, 덕영 *층 (신정동)8053글로시엔터테인먼트2023-10-11 15:55:20I2022-10-30 23:03:00.0<NA>185823.730026445541.133178<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553140000CDFF32410920230000052023-10-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-**서울특별시 양천구 목동중앙남로**길 **, *층 (목동)7955에이인모델2023-10-18 17:52:02I2022-10-30 22:00:00.0<NA>188122.8726448724.225248<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563140000CDFF32410920230000062023-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ***-**서울특별시 양천구 오목로**길 *, 지층 (신정동)8022블랙베어레코드2023-11-29 09:08:05I2022-11-02 00:01:00.0<NA>187708.190972447021.969619<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573140000CDFF32410920240000012024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2648-8881<NA><NA>서울특별시 양천구 신정동 ****-* 법정빌딩서울특별시 양천구 신월로 ***, 법정빌딩 ***호 (신정동)8087주)에스에스에이 엔터테인먼트2024-02-05 15:02:50I2023-12-02 00:07:00.0<NA>187791.46182446647.027913<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583140000CDFF32410920240000022024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-* 신목동역 LT SAMBO 지식산업센터 M.OK서울특별시 양천구 안양천로 ****, 신목동역 LT SAMBO 지식산업센터 M.OK *층 ***호 (목동)7978앤드원콜렉티브2024-03-19 10:47:08U2023-12-02 22:01:00.0<NA>189645.577035448883.249478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593140000CDFF32410920240000032024-04-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-* 신목동역 LT SAMBO 지식산업센터 M.OK서울특별시 양천구 안양천로 ****, 신목동역 LT SAMBO 지식산업센터 M.OK *층 ***호 (목동)7978주식회사 코인 프로덕션2024-04-24 11:26:39I2023-12-03 22:06:00.0<NA>189645.577035448883.249478<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>