Overview

Dataset statistics

Number of variables56
Number of observations59
Missing cells1697
Missing cells (%)51.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.3 KiB
Average record size in memory491.2 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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-17212/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (51.8%)Imbalance
영업상태명 is highly imbalanced (51.8%)Imbalance
상세영업상태코드 is highly imbalanced (51.8%)Imbalance
상세영업상태명 is highly imbalanced (51.8%)Imbalance
총층수 is highly imbalanced (78.6%)Imbalance
지상층수 is highly imbalanced (78.6%)Imbalance
지하층수 is highly imbalanced (78.6%)Imbalance
통로너비 is highly imbalanced (78.6%)Imbalance
조명시설조도 is highly imbalanced (78.6%)Imbalance
노래방실수 is highly imbalanced (78.6%)Imbalance
청소년실수 is highly imbalanced (78.6%)Imbalance
총게임기수 is highly imbalanced (78.6%)Imbalance
인허가취소일자 has 59 (100.0%) missing valuesMissing
폐업일자 has 45 (76.3%) missing valuesMissing
휴업시작일자 has 59 (100.0%) missing valuesMissing
휴업종료일자 has 59 (100.0%) missing valuesMissing
재개업일자 has 59 (100.0%) missing valuesMissing
전화번호 has 49 (83.1%) missing valuesMissing
소재지면적 has 59 (100.0%) missing valuesMissing
소재지우편번호 has 59 (100.0%) missing valuesMissing
지번주소 has 1 (1.7%) missing valuesMissing
업태구분명 has 59 (100.0%) missing valuesMissing
주변환경명 has 59 (100.0%) missing valuesMissing
제작취급품목내용 has 23 (39.0%) missing valuesMissing
시설면적 has 45 (76.3%) missing valuesMissing
건물용도명 has 59 (100.0%) missing valuesMissing
비상계단여부 has 59 (100.0%) missing valuesMissing
비상구여부 has 59 (100.0%) missing valuesMissing
자동환기여부 has 59 (100.0%) missing valuesMissing
청소년실여부 has 59 (100.0%) missing valuesMissing
특수조명여부 has 59 (100.0%) missing valuesMissing
방음시설여부 has 59 (100.0%) missing valuesMissing
비디오재생기명 has 59 (100.0%) missing valuesMissing
조명시설유무 has 59 (100.0%) missing valuesMissing
음향시설여부 has 59 (100.0%) missing valuesMissing
편의시설여부 has 59 (100.0%) missing valuesMissing
소방시설여부 has 59 (100.0%) missing valuesMissing
기존게임업외업종명 has 59 (100.0%) missing valuesMissing
제공게임물명 has 59 (100.0%) missing valuesMissing
공연장형태구분명 has 59 (100.0%) missing valuesMissing
품목명 has 59 (100.0%) missing valuesMissing
최초등록시점 has 59 (100.0%) missing valuesMissing
지역구분명 has 59 (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 (3.4%) zerosZeros

Reproduction

Analysis started2024-05-11 06:45:15.448308
Analysis finished2024-05-11 06:45:16.285816
Duration0.84 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
3200000
59 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 59
100.0%

Length

2024-05-11T15:45:16.382618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:16.539641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 59
100.0%

관리번호
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-05-11T15:45:16.820660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1180
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

Unique59 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000002
3rd rowCDFF3241092015000004
4th rowCDFF3241092015000005
5th rowCDFF3241092015000007
ValueCountFrequency (%)
cdff3241092015000001 1
 
1.7%
cdff3241092020000002 1
 
1.7%
cdff3241092020000004 1
 
1.7%
cdff3241092020000005 1
 
1.7%
cdff3241092020000006 1
 
1.7%
cdff3241092021000001 1
 
1.7%
cdff3241092021000003 1
 
1.7%
cdff3241092021000004 1
 
1.7%
cdff3241092022000001 1
 
1.7%
cdff3241092022000002 1
 
1.7%
Other values (49) 49
83.1%
2024-05-11T15:45:17.352262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 414
35.1%
2 167
14.2%
F 118
 
10.0%
1 109
 
9.2%
3 78
 
6.6%
4 67
 
5.7%
9 67
 
5.7%
C 59
 
5.0%
D 59
 
5.0%
5 19
 
1.6%
Other values (3) 23
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 944
80.0%
Uppercase Letter 236
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 414
43.9%
2 167
17.7%
1 109
 
11.5%
3 78
 
8.3%
4 67
 
7.1%
9 67
 
7.1%
5 19
 
2.0%
6 11
 
1.2%
8 8
 
0.8%
7 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 118
50.0%
C 59
25.0%
D 59
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 944
80.0%
Latin 236
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 414
43.9%
2 167
17.7%
1 109
 
11.5%
3 78
 
8.3%
4 67
 
7.1%
9 67
 
7.1%
5 19
 
2.0%
6 11
 
1.2%
8 8
 
0.8%
7 4
 
0.4%
Latin
ValueCountFrequency (%)
F 118
50.0%
C 59
25.0%
D 59
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 414
35.1%
2 167
14.2%
F 118
 
10.0%
1 109
 
9.2%
3 78
 
6.6%
4 67
 
5.7%
9 67
 
5.7%
C 59
 
5.0%
D 59
 
5.0%
5 19
 
1.6%
Other values (3) 23
 
1.9%

인허가일자
Date

Distinct55
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2015-03-26 00:00:00
Maximum2023-11-16 00:00:00
2024-05-11T15:45:17.594851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:45:17.795996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
1
45 
3
12 
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
1 45
76.3%
3 12
 
20.3%
4 1
 
1.7%
5 1
 
1.7%

Length

2024-05-11T15:45:17.989557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:18.193842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 45
76.3%
3 12
 
20.3%
4 1
 
1.7%
5 1
 
1.7%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
영업/정상
45 
폐업
12 
취소/말소/만료/정지/중지
 
1
제외/삭제/전출
 
1

Length

Max length14
Median length5
Mean length4.5932203
Min length2

Unique

Unique2 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 45
76.3%
폐업 12
 
20.3%
취소/말소/만료/정지/중지 1
 
1.7%
제외/삭제/전출 1
 
1.7%

Length

2024-05-11T15:45:18.459871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:18.679506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 45
76.3%
폐업 12
 
20.3%
취소/말소/만료/정지/중지 1
 
1.7%
제외/삭제/전출 1
 
1.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
13
45 
3
12 
35
 
1
15
 
1

Length

Max length2
Median length2
Mean length1.7966102
Min length1

Unique

Unique2 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
13 45
76.3%
3 12
 
20.3%
35 1
 
1.7%
15 1
 
1.7%

Length

2024-05-11T15:45:18.908191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:19.078990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 45
76.3%
3 12
 
20.3%
35 1
 
1.7%
15 1
 
1.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
영업중
45 
폐업
12 
직권말소
 
1
전출
 
1

Length

Max length4
Median length3
Mean length2.7966102
Min length2

Unique

Unique2 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 45
76.3%
폐업 12
 
20.3%
직권말소 1
 
1.7%
전출 1
 
1.7%

Length

2024-05-11T15:45:19.312086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:19.468771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 45
76.3%
폐업 12
 
20.3%
직권말소 1
 
1.7%
전출 1
 
1.7%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing45
Missing (%)76.3%
Memory size604.0 B
Minimum2015-12-02 00:00:00
Maximum2023-10-06 00:00:00
2024-05-11T15:45:19.661319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:45:20.187452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

전화번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing49
Missing (%)83.1%
Memory size604.0 B
2024-05-11T15:45:20.399668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length11.6
Min length11

Characters and Unicode

Total characters116
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

Unique10 ?
Unique (%)100.0%

Sample

1st row02-6203-4394
2nd row070-7641-4367
3rd row02-780-3344
4th row02-871-5692
5th row02-553-9780
ValueCountFrequency (%)
02-6203-4394 1
10.0%
070-7641-4367 1
10.0%
02-780-3344 1
10.0%
02-871-5692 1
10.0%
02-553-9780 1
10.0%
02-888-1365 1
10.0%
02-523-3030 1
10.0%
02-6101-9327 1
10.0%
02-6401-8333 1
10.0%
02-6952-7908 1
10.0%
2024-05-11T15:45:20.836647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20
17.2%
0 19
16.4%
2 14
12.1%
3 14
12.1%
6 8
 
6.9%
7 8
 
6.9%
8 8
 
6.9%
4 7
 
6.0%
9 6
 
5.2%
1 6
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
82.8%
Dash Punctuation 20
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
19.8%
2 14
14.6%
3 14
14.6%
6 8
8.3%
7 8
8.3%
8 8
8.3%
4 7
 
7.3%
9 6
 
6.2%
1 6
 
6.2%
5 6
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 20
17.2%
0 19
16.4%
2 14
12.1%
3 14
12.1%
6 8
 
6.9%
7 8
 
6.9%
8 8
 
6.9%
4 7
 
6.0%
9 6
 
5.2%
1 6
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20
17.2%
0 19
16.4%
2 14
12.1%
3 14
12.1%
6 8
 
6.9%
7 8
 
6.9%
8 8
 
6.9%
4 7
 
6.0%
9 6
 
5.2%
1 6
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

지번주소
Text

MISSING 

Distinct57
Distinct (%)98.3%
Missing1
Missing (%)1.7%
Memory size604.0 B
2024-05-11T15:45:21.118533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length26.637931
Min length19

Characters and Unicode

Total characters1545
Distinct characters88
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

Unique56 ?
Unique (%)96.6%

Sample

1st row서울특별시 관악구 남현동 ****-**번지
2nd row서울특별시 관악구 봉천동 ****-***번지
3rd row서울특별시 관악구 신림동 ****-*번지
4th row서울특별시 관악구 봉천동 ***-***번지
5th row서울특별시 관악구 봉천동 **-**번지
ValueCountFrequency (%)
서울특별시 58
19.9%
관악구 58
19.9%
신림동 30
10.3%
28
9.6%
번지 26
8.9%
봉천동 24
8.2%
호 21
 
7.2%
층 6
 
2.1%
지하*층 4
 
1.4%
동 4
 
1.4%
Other values (29) 33
11.3%
2024-05-11T15:45:21.537862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 360
23.3%
256
16.6%
동 66
 
4.3%
관 61
 
3.9%
악 60
 
3.9%
시 59
 
3.8%
서 58
 
3.8%
특 58
 
3.8%
별 58
 
3.8%
구 58
 
3.8%
Other values (78) 451
29.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 848
54.9%
Other Punctuation 360
23.3%
Space Separator 256
 
16.6%
Dash Punctuation 54
 
3.5%
Decimal Number 25
 
1.6%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 66
 
7.8%
관 61
 
7.2%
악 60
 
7.1%
시 59
 
7.0%
서 58
 
6.8%
특 58
 
6.8%
별 58
 
6.8%
구 58
 
6.8%
울 58
 
6.8%
지 36
 
4.2%
Other values (65) 276
32.5%
Decimal Number
ValueCountFrequency (%)
1 6
24.0%
6 4
16.0%
3 4
16.0%
7 3
12.0%
0 3
12.0%
2 2
 
8.0%
5 2
 
8.0%
4 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Other Punctuation
ValueCountFrequency (%)
* 360
100.0%
Space Separator
ValueCountFrequency (%)
256
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 848
54.9%
Common 695
45.0%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 66
 
7.8%
관 61
 
7.2%
악 60
 
7.1%
시 59
 
7.0%
서 58
 
6.8%
특 58
 
6.8%
별 58
 
6.8%
구 58
 
6.8%
울 58
 
6.8%
지 36
 
4.2%
Other values (65) 276
32.5%
Common
ValueCountFrequency (%)
* 360
51.8%
256
36.8%
- 54
 
7.8%
1 6
 
0.9%
6 4
 
0.6%
3 4
 
0.6%
7 3
 
0.4%
0 3
 
0.4%
2 2
 
0.3%
5 2
 
0.3%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 848
54.9%
ASCII 697
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 360
51.6%
256
36.7%
- 54
 
7.7%
1 6
 
0.9%
6 4
 
0.6%
3 4
 
0.6%
7 3
 
0.4%
0 3
 
0.4%
2 2
 
0.3%
5 2
 
0.3%
Other values (3) 3
 
0.4%
Hangul
ValueCountFrequency (%)
동 66
 
7.8%
관 61
 
7.2%
악 60
 
7.1%
시 59
 
7.0%
서 58
 
6.8%
특 58
 
6.8%
별 58
 
6.8%
구 58
 
6.8%
울 58
 
6.8%
지 36
 
4.2%
Other values (65) 276
32.5%

도로명주소
Text

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-05-11T15:45:21.839071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length34.474576
Min length23

Characters and Unicode

Total characters2034
Distinct characters127
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

Unique57 ?
Unique (%)96.6%

Sample

1st row서울특별시 관악구 남부순환로***나길 **, ***호 (남현동, 리오빌)
2nd row서울특별시 관악구 남부순환로 ****, ***호 (봉천동, 금산빌딩)
3rd row서울특별시 관악구 광신길 ***, ***동 ****호 (신림동, 주공*차아파트)
4th row서울특별시 관악구 인헌**길 **, 지층 (봉천동)
5th row서울특별시 관악구 청림*길 **-* (봉천동)
ValueCountFrequency (%)
서울특별시 59
15.1%
관악구 59
15.1%
55
14.1%
호 36
 
9.2%
신림동 31
 
7.9%
봉천동 24
 
6.1%
층 9
 
2.3%
동 6
 
1.5%
지층 5
 
1.3%
지하*층 5
 
1.3%
Other values (78) 102
26.1%
2024-05-11T15:45:22.445187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 349
17.2%
332
 
16.3%
, 80
 
3.9%
동 69
 
3.4%
관 69
 
3.4%
악 67
 
3.3%
시 60
 
2.9%
울 59
 
2.9%
) 59
 
2.9%
( 59
 
2.9%
Other values (117) 831
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1116
54.9%
Other Punctuation 429
 
21.1%
Space Separator 332
 
16.3%
Close Punctuation 59
 
2.9%
Open Punctuation 59
 
2.9%
Decimal Number 21
 
1.0%
Dash Punctuation 15
 
0.7%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 69
 
6.2%
관 69
 
6.2%
악 67
 
6.0%
시 60
 
5.4%
울 59
 
5.3%
서 59
 
5.3%
구 59
 
5.3%
별 59
 
5.3%
특 59
 
5.3%
길 44
 
3.9%
Other values (101) 512
45.9%
Decimal Number
ValueCountFrequency (%)
1 6
28.6%
2 4
19.0%
4 3
14.3%
6 3
14.3%
8 2
 
9.5%
0 2
 
9.5%
7 1
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
V 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 349
81.4%
, 80
 
18.6%
Space Separator
ValueCountFrequency (%)
332
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1116
54.9%
Common 915
45.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 69
 
6.2%
관 69
 
6.2%
악 67
 
6.0%
시 60
 
5.4%
울 59
 
5.3%
서 59
 
5.3%
구 59
 
5.3%
별 59
 
5.3%
특 59
 
5.3%
길 44
 
3.9%
Other values (101) 512
45.9%
Common
ValueCountFrequency (%)
* 349
38.1%
332
36.3%
, 80
 
8.7%
) 59
 
6.4%
( 59
 
6.4%
- 15
 
1.6%
1 6
 
0.7%
2 4
 
0.4%
4 3
 
0.3%
6 3
 
0.3%
Other values (3) 5
 
0.5%
Latin
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
V 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1116
54.9%
ASCII 918
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 349
38.0%
332
36.2%
, 80
 
8.7%
) 59
 
6.4%
( 59
 
6.4%
- 15
 
1.6%
1 6
 
0.7%
2 4
 
0.4%
4 3
 
0.3%
6 3
 
0.3%
Other values (6) 8
 
0.9%
Hangul
ValueCountFrequency (%)
동 69
 
6.2%
관 69
 
6.2%
악 67
 
6.0%
시 60
 
5.4%
울 59
 
5.3%
서 59
 
5.3%
구 59
 
5.3%
별 59
 
5.3%
특 59
 
5.3%
길 44
 
3.9%
Other values (101) 512
45.9%

도로명우편번호
Real number (ℝ)

Distinct44
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8779.0508
Minimum8702
Maximum8862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T15:45:22.637776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8702
5-th percentile8704.8
Q18752
median8783
Q38803
95-th percentile8846.2
Maximum8862
Range160
Interquartile range (IQR)51

Descriptive statistics

Standard deviation42.913475
Coefficient of variation (CV)0.004888168
Kurtosis-0.59967302
Mean8779.0508
Median Absolute Deviation (MAD)25
Skewness-0.18545716
Sum517964
Variance1841.5663
MonotonicityNot monotonic
2024-05-11T15:45:22.848125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
8846 3
 
5.1%
8797 3
 
5.1%
8783 3
 
5.1%
8752 3
 
5.1%
8803 2
 
3.4%
8706 2
 
3.4%
8705 2
 
3.4%
8793 2
 
3.4%
8767 2
 
3.4%
8791 2
 
3.4%
Other values (34) 35
59.3%
ValueCountFrequency (%)
8702 1
1.7%
8703 2
3.4%
8705 2
3.4%
8706 2
3.4%
8722 1
1.7%
8726 1
1.7%
8731 1
1.7%
8733 1
1.7%
8734 1
1.7%
8736 1
1.7%
ValueCountFrequency (%)
8862 1
 
1.7%
8856 1
 
1.7%
8848 1
 
1.7%
8846 3
5.1%
8835 1
 
1.7%
8834 1
 
1.7%
8821 1
 
1.7%
8819 1
 
1.7%
8817 1
 
1.7%
8812 1
 
1.7%

사업장명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2024-05-11T15:45:23.152637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length19
Mean length10.220339
Min length3

Characters and Unicode

Total characters603
Distinct characters161
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)100.0%

Sample

1st row에이클라스타(Eclat Star)
2nd row(주)도너츠뮤직
3rd row엠피알(mpr)
4th rowKim and Kim's 엔터테인먼트
5th rowAPEX엔터테인먼트
ValueCountFrequency (%)
주식회사 9
 
9.1%
엔터테인먼트 9
 
9.1%
뮤직 2
 
2.0%
star 2
 
2.0%
company 2
 
2.0%
글림아티스트 1
 
1.0%
에이전시(shining 1
 
1.0%
모델 1
 
1.0%
스타 1
 
1.0%
샤이닝 1
 
1.0%
Other values (70) 70
70.7%
2024-05-11T15:45:23.699569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
6.6%
트 26
 
4.3%
엔 24
 
4.0%
먼 21
 
3.5%
터 21
 
3.5%
인 20
 
3.3%
테 20
 
3.3%
이 19
 
3.2%
) 15
 
2.5%
스 15
 
2.5%
Other values (151) 382
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
69.5%
Lowercase Letter 56
 
9.3%
Uppercase Letter 47
 
7.8%
Space Separator 40
 
6.6%
Close Punctuation 15
 
2.5%
Open Punctuation 15
 
2.5%
Decimal Number 8
 
1.3%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 26
 
6.2%
엔 24
 
5.7%
먼 21
 
5.0%
터 21
 
5.0%
인 20
 
4.8%
테 20
 
4.8%
이 19
 
4.5%
스 15
 
3.6%
주 14
 
3.3%
사 12
 
2.9%
Other values (104) 227
54.2%
Lowercase Letter
ValueCountFrequency (%)
n 7
12.5%
a 7
12.5%
m 5
8.9%
i 5
8.9%
e 5
8.9%
g 4
 
7.1%
t 4
 
7.1%
r 3
 
5.4%
p 2
 
3.6%
o 2
 
3.6%
Other values (8) 12
21.4%
Uppercase Letter
ValueCountFrequency (%)
P 6
12.8%
S 6
12.8%
A 5
10.6%
M 4
 
8.5%
O 4
 
8.5%
D 3
 
6.4%
K 3
 
6.4%
C 2
 
4.3%
E 2
 
4.3%
Y 2
 
4.3%
Other values (8) 10
21.3%
Decimal Number
ValueCountFrequency (%)
3 2
25.0%
4 2
25.0%
7 1
12.5%
9 1
12.5%
0 1
12.5%
1 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
' 1
33.3%
Space Separator
ValueCountFrequency (%)
40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 418
69.3%
Latin 103
 
17.1%
Common 81
 
13.4%
Han 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 26
 
6.2%
엔 24
 
5.7%
먼 21
 
5.0%
터 21
 
5.0%
인 20
 
4.8%
테 20
 
4.8%
이 19
 
4.5%
스 15
 
3.6%
주 14
 
3.3%
사 12
 
2.9%
Other values (103) 226
54.1%
Latin
ValueCountFrequency (%)
n 7
 
6.8%
a 7
 
6.8%
P 6
 
5.8%
S 6
 
5.8%
m 5
 
4.9%
i 5
 
4.9%
A 5
 
4.9%
e 5
 
4.9%
g 4
 
3.9%
M 4
 
3.9%
Other values (26) 49
47.6%
Common
ValueCountFrequency (%)
40
49.4%
) 15
 
18.5%
( 15
 
18.5%
3 2
 
2.5%
4 2
 
2.5%
. 2
 
2.5%
7 1
 
1.2%
9 1
 
1.2%
' 1
 
1.2%
0 1
 
1.2%
Han
ValueCountFrequency (%)
奎 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 418
69.3%
ASCII 184
30.5%
CJK 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
21.7%
) 15
 
8.2%
( 15
 
8.2%
n 7
 
3.8%
a 7
 
3.8%
P 6
 
3.3%
S 6
 
3.3%
m 5
 
2.7%
i 5
 
2.7%
A 5
 
2.7%
Other values (37) 73
39.7%
Hangul
ValueCountFrequency (%)
트 26
 
6.2%
엔 24
 
5.7%
먼 21
 
5.0%
터 21
 
5.0%
인 20
 
4.8%
테 20
 
4.8%
이 19
 
4.5%
스 15
 
3.6%
주 14
 
3.3%
사 12
 
2.9%
Other values (103) 226
54.1%
CJK
ValueCountFrequency (%)
奎 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2015-10-23 12:15:52
Maximum2023-11-16 16:26:33
2024-05-11T15:45:23.888251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:45:24.114002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
I
44 
U
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 44
74.6%
U 15
 
25.4%

Length

2024-05-11T15:45:24.357128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:24.478469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 44
74.6%
u 15
 
25.4%

데이터갱신일자
Date

Distinct41
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-08 22:03:00
2024-05-11T15:45:24.612368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:45:24.772670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

좌표정보(X)
Real number (ℝ)

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194805.11
Minimum191259.92
Maximum197951.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T15:45:24.931002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191259.92
5-th percentile192317.24
Q1193554.96
median194575.45
Q3196262.25
95-th percentile197492.03
Maximum197951.11
Range6691.1895
Interquartile range (IQR)2707.287

Descriptive statistics

Standard deviation1671.6385
Coefficient of variation (CV)0.0085810811
Kurtosis-1.0055707
Mean194805.11
Median Absolute Deviation (MAD)1404.906
Skewness0.033645804
Sum11493502
Variance2794375.2
MonotonicityNot monotonic
2024-05-11T15:45:25.088758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195133.96436704 2
 
3.4%
197517.613862684 1
 
1.7%
193988.53711898 1
 
1.7%
192604.312155382 1
 
1.7%
193298.614436816 1
 
1.7%
196987.943559601 1
 
1.7%
191259.918585504 1
 
1.7%
195094.500824613 1
 
1.7%
194400.172433545 1
 
1.7%
196821.205189853 1
 
1.7%
Other values (48) 48
81.4%
ValueCountFrequency (%)
191259.918585504 1
1.7%
192280.387256298 1
1.7%
192312.717746236 1
1.7%
192317.743639315 1
1.7%
192446.852945981 1
1.7%
192456.629274523 1
1.7%
192604.312155382 1
1.7%
192699.364401597 1
1.7%
192855.685643844 1
1.7%
192889.767936812 1
1.7%
ValueCountFrequency (%)
197951.108094311 1
1.7%
197659.202423101 1
1.7%
197517.613862684 1
1.7%
197489.187322229 1
1.7%
196987.943559601 1
1.7%
196935.83192748 1
1.7%
196890.42502367 1
1.7%
196839.097256433 1
1.7%
196821.205189853 1
1.7%
196795.280614836 1
1.7%

좌표정보(Y)
Real number (ℝ)

Distinct58
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441788.97
Minimum439663.59
Maximum443229.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T15:45:25.249019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum439663.59
5-th percentile440444.95
Q1441119.86
median441751.71
Q3442425.96
95-th percentile443013.76
Maximum443229.59
Range3566.0052
Interquartile range (IQR)1306.0983

Descriptive statistics

Standard deviation829.29139
Coefficient of variation (CV)0.0018771211
Kurtosis-0.6442657
Mean441788.97
Median Absolute Deviation (MAD)635.68759
Skewness-0.19111207
Sum26065549
Variance687724.21
MonotonicityNot monotonic
2024-05-11T15:45:25.387804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442326.105241807 2
 
3.4%
441120.323292527 1
 
1.7%
441113.075853543 1
 
1.7%
442707.896344785 1
 
1.7%
443046.676737015 1
 
1.7%
441384.233697264 1
 
1.7%
441996.013562892 1
 
1.7%
442087.04128322 1
 
1.7%
441723.327794957 1
 
1.7%
441024.17031497 1
 
1.7%
Other values (48) 48
81.4%
ValueCountFrequency (%)
439663.585570958 1
1.7%
440409.280960652 1
1.7%
440432.973536205 1
1.7%
440446.283247268 1
1.7%
440679.146940614 1
1.7%
440696.697345058 1
1.7%
440732.569663101 1
1.7%
440751.756356034 1
1.7%
440820.529983066 1
1.7%
440867.010043448 1
1.7%
ValueCountFrequency (%)
443229.590794305 1
1.7%
443046.676737015 1
1.7%
443044.700996218 1
1.7%
443010.326510321 1
1.7%
442998.66840396 1
1.7%
442982.025965839 1
1.7%
442907.962949877 1
1.7%
442791.339807538 1
1.7%
442775.501498729 1
1.7%
442742.288637755 1
1.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
대중문화예술기획업
36 
<NA>
23 

Length

Max length9
Median length9
Mean length7.0508475
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 36
61.0%
<NA> 23
39.0%

Length

2024-05-11T15:45:25.560479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:25.684510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 36
61.0%
na 23
39.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
유통관련업
36 
<NA>
23 

Length

Max length5
Median length5
Mean length4.6101695
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 36
61.0%
<NA> 23
39.0%

Length

2024-05-11T15:45:25.813253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:25.947509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 36
61.0%
na 23
39.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
57 
0
 
2

Length

Max length4
Median length4
Mean length3.8983051
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> 57
96.6%
0 2
 
3.4%

Length

2024-05-11T15:45:26.072874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:26.182785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
96.6%
0 2
 
3.4%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

제작취급품목내용
Text

MISSING 

Distinct31
Distinct (%)86.1%
Missing23
Missing (%)39.0%
Memory size604.0 B
2024-05-11T15:45:26.377410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length20
Mean length13.583333
Min length4

Characters and Unicode

Total characters489
Distinct characters90
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)75.0%

Sample

1st row매니지먼트,공연기획 등
2nd row매니지먼트 외
3rd row연예인대리(나무자전거,유리상자,박승화 등)
4th row음반제작및매니지먼트,이벤트대행
5th row연예메니지먼트,에이전시업공연,이벤트기획,음반제작
ValueCountFrequency (%)
매니지먼트 8
 
8.9%
엔터테인먼트 7
 
7.8%
공연기획 7
 
7.8%
및 7
 
7.8%
등 4
 
4.4%
연예기획 4
 
4.4%
제작 3
 
3.3%
매니지먼트업 3
 
3.3%
에이전시 3
 
3.3%
연예인 2
 
2.2%
Other values (38) 42
46.7%
2024-05-11T15:45:26.887570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
11.0%
, 30
 
6.1%
트 29
 
5.9%
먼 27
 
5.5%
연 23
 
4.7%
기 20
 
4.1%
지 19
 
3.9%
니 19
 
3.9%
매 18
 
3.7%
획 17
 
3.5%
Other values (80) 233
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 400
81.8%
Space Separator 54
 
11.0%
Other Punctuation 31
 
6.3%
Close Punctuation 2
 
0.4%
Open Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 29
 
7.2%
먼 27
 
6.8%
연 23
 
5.8%
기 20
 
5.0%
지 19
 
4.8%
니 19
 
4.8%
매 18
 
4.5%
획 17
 
4.2%
인 14
 
3.5%
예 14
 
3.5%
Other values (75) 200
50.0%
Other Punctuation
ValueCountFrequency (%)
, 30
96.8%
/ 1
 
3.2%
Space Separator
ValueCountFrequency (%)
54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 400
81.8%
Common 89
 
18.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 29
 
7.2%
먼 27
 
6.8%
연 23
 
5.8%
기 20
 
5.0%
지 19
 
4.8%
니 19
 
4.8%
매 18
 
4.5%
획 17
 
4.2%
인 14
 
3.5%
예 14
 
3.5%
Other values (75) 200
50.0%
Common
ValueCountFrequency (%)
54
60.7%
, 30
33.7%
) 2
 
2.2%
( 2
 
2.2%
/ 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 400
81.8%
ASCII 89
 
18.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
60.7%
, 30
33.7%
) 2
 
2.2%
( 2
 
2.2%
/ 1
 
1.1%
Hangul
ValueCountFrequency (%)
트 29
 
7.2%
먼 27
 
6.8%
연 23
 
5.8%
기 20
 
5.0%
지 19
 
4.8%
니 19
 
4.8%
매 18
 
4.5%
획 17
 
4.2%
인 14
 
3.5%
예 14
 
3.5%
Other values (75) 200
50.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)92.9%
Missing45
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean69.272857
Minimum0
Maximum341.7
Zeros2
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size663.0 B
2024-05-11T15:45:27.034235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119.25
median53.025
Q383.855
95-th percentile198.1735
Maximum341.7
Range341.7
Interquartile range (IQR)64.605

Descriptive statistics

Standard deviation86.446972
Coefficient of variation (CV)1.2479198
Kurtosis8.3940637
Mean69.272857
Median Absolute Deviation (MAD)33.685
Skewness2.6748977
Sum969.82
Variance7473.0789
MonotonicityNot monotonic
2024-05-11T15:45:27.163301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 2
 
3.4%
57.0 1
 
1.7%
30.0 1
 
1.7%
341.7 1
 
1.7%
49.92 1
 
1.7%
16.5 1
 
1.7%
23.0 1
 
1.7%
18.0 1
 
1.7%
85.37 1
 
1.7%
79.31 1
 
1.7%
Other values (3) 3
 
5.1%
(Missing) 45
76.3%
ValueCountFrequency (%)
0.0 2
3.4%
16.5 1
1.7%
18.0 1
1.7%
23.0 1
1.7%
30.0 1
1.7%
49.92 1
1.7%
56.13 1
1.7%
57.0 1
1.7%
79.31 1
1.7%
85.37 1
1.7%
ValueCountFrequency (%)
341.7 1
1.7%
120.89 1
1.7%
92.0 1
1.7%
85.37 1
1.7%
79.31 1
1.7%
57.0 1
1.7%
56.13 1
1.7%
49.92 1
1.7%
30.0 1
1.7%
23.0 1
1.7%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
57 
0
 
2

Length

Max length4
Median length4
Mean length3.8983051
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> 57
96.6%
0 2
 
3.4%

Length

2024-05-11T15:45:27.336422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:27.474616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
96.6%
0 2
 
3.4%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
57 
0
 
2

Length

Max length4
Median length4
Mean length3.8983051
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> 57
96.6%
0 2
 
3.4%

Length

2024-05-11T15:45:27.643564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:27.830904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
96.6%
0 2
 
3.4%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
57 
0
 
2

Length

Max length4
Median length4
Mean length3.8983051
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> 57
96.6%
0 2
 
3.4%

Length

2024-05-11T15:45:28.038874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:28.207669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
96.6%
0 2
 
3.4%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
57 
0
 
2

Length

Max length4
Median length4
Mean length3.8983051
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> 57
96.6%
0 2
 
3.4%

Length

2024-05-11T15:45:28.363117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:28.506669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
96.6%
0 2
 
3.4%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
57 
0
 
2

Length

Max length4
Median length4
Mean length3.8983051
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> 57
96.6%
0 2
 
3.4%

Length

2024-05-11T15:45:28.636129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:28.780885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
96.6%
0 2
 
3.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
57 
0
 
2

Length

Max length4
Median length4
Mean length3.8983051
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> 57
96.6%
0 2
 
3.4%

Length

2024-05-11T15:45:28.962342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:29.084604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
96.6%
0 2
 
3.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size604.0 B
<NA>
57 
0
 
2

Length

Max length4
Median length4
Mean length3.8983051
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> 57
96.6%
0 2
 
3.4%

Length

2024-05-11T15:45:29.236371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:29.366275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
96.6%
0 2
 
3.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing59
Missing (%)100.0%
Memory size663.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03200000CDFF324109201500000120150526<NA>3폐업3폐업20181230<NA><NA><NA><NA><NA><NA>서울특별시 관악구 남현동 ****-**번지서울특별시 관악구 남부순환로***나길 **, ***호 (남현동, 리오빌)8803에이클라스타(Eclat Star)2019-03-29 15:17:17U2019-03-31 02:40:00.0<NA>197517.613863441120.323293대중문화예술기획업유통관련업<NA><NA>매니지먼트,공연기획 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13200000CDFF324109201500000220150612<NA>3폐업3폐업20151202<NA><NA><NA>02-6203-4394<NA><NA>서울특별시 관악구 봉천동 ****-***번지서울특별시 관악구 남부순환로 ****, ***호 (봉천동, 금산빌딩)8801(주)도너츠뮤직2015-12-02 09:53:44I2018-08-31 23:59:59.0<NA>196890.425024441591.911031대중문화예술기획업유통관련업<NA><NA>매니지먼트 외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23200000CDFF324109201500000420150713<NA>3폐업3폐업20170426<NA><NA><NA>070-7641-4367<NA><NA>서울특별시 관악구 신림동 ****-*번지서울특별시 관악구 광신길 ***, ***동 ****호 (신림동, 주공*차아파트)8848엠피알(mpr)2017-04-26 15:41:48I2018-08-31 23:59:59.0<NA>193556.151489440432.973536대중문화예술기획업유통관련업<NA><NA>연예인대리(나무자전거,유리상자,박승화 등)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33200000CDFF324109201500000520150716<NA>3폐업3폐업20180828<NA><NA><NA>02-780-3344<NA><NA>서울특별시 관악구 봉천동 ***-***번지서울특별시 관악구 인헌**길 **, 지층 (봉천동)8797Kim and Kim's 엔터테인먼트2018-08-28 21:37:55I2018-08-31 23:59:59.0<NA>196839.097256440957.15901대중문화예술기획업유통관련업<NA><NA>음반제작및매니지먼트,이벤트대행<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43200000CDFF324109201500000720150731<NA>3폐업3폐업20180627<NA><NA><NA>02-871-5692<NA><NA>서울특별시 관악구 봉천동 **-**번지서울특별시 관악구 청림*길 **-* (봉천동)8731APEX엔터테인먼트2018-06-29 11:20:43I2018-08-31 23:59:59.0<NA>196344.179271442982.025966대중문화예술기획업유통관련업<NA><NA>연예메니지먼트,에이전시업공연,이벤트기획,음반제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53200000CDFF324109201500000820150803<NA>3폐업3폐업20220314<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-***서울특별시 관악구 낙성대역*길 *, ***호 (봉천동, 캠퍼스빌리지V)8799자연기획2022-03-15 08:52:44U2022-03-17 02:40:00.0<NA>196597.420372441431.24674대중문화예술기획업유통관련업<NA><NA>연예기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63200000CDFF324109201500000920150326<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-**번지 지하*층서울특별시 관악구 봉천로 ***-*, 지하*층 (봉천동, 뉴파즈빌딩)8752브리즈뮤직2017-07-31 09:03:23I2018-08-31 23:59:59.0<NA>195133.964367442326.105242대중문화예술기획업유통관련업<NA><NA>인디뮤지션 제작, 발굴 및 데뷔기회 제공, 공연기획 및 홍보57.0<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>
73200000CDFF324109201500001020150909<NA>3폐업3폐업20180915<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ****-**번지 ***호서울특별시 관악구 남부순환로***라길 **, ***호 (신림동)8774골든스파이더 엔터테인먼트2019-02-13 16:33:20U2019-02-15 02:40:00.0<NA>193367.272023441997.901024대중문화예술기획업유통관련업<NA><NA>엔터테인먼트, 에이전시30.0<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>
83200000CDFF324109201500001120150804<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ****번지 관악푸르지오*단지아파트 ***동 ***호서울특별시 관악구 관악로**길 **, ***동 ***호 (봉천동, 관악푸르지오*단지아파트)8734미디어 포 유2015-10-23 12:15:52I2018-08-31 23:59:59.0<NA>196469.100887442791.339808대중문화예술기획업유통관련업<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>
93200000CDFF324109201500001220151118<NA>3폐업3폐업20170515<NA><NA><NA>02-553-9780<NA><NA>서울특별시 관악구 신림동 **-***번지 ***호서울특별시 관악구 신림로**길 **, ***호 (신림동, 한아름마을)8779락이앤엠2017-05-16 09:25:03I2018-08-31 23:59:59.0<NA>193954.798848442271.286324대중문화예술기획업유통관련업<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
493200000CDFF324109202300000220170811<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ****-**서울특별시 관악구 봉천로*길 **, 지하*층 (신림동)8706디엔에이엔터테인먼트(주)2023-01-26 13:36:36I2022-11-30 22:08:00.0<NA>193322.090637442998.668404<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503200000CDFF32410920230000032023-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ***-** 레지던스서울특별시 관악구 난곡로**길 **, 레지던스 ***호 (신림동)8705오브 매니지먼트(Aube Management)2023-03-15 09:51:14I2022-12-02 23:08:00.0<NA>192446.852946442669.926755<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513200000CDFF32410920230000042023-05-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-**서울특별시 관악구 당곡길 **, ***호 (봉천동)8722누리엔터테인먼트2023-05-15 17:16:46I2022-12-04 23:07:00.0<NA>193553.772005443229.590794<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523200000CDFF32410920230000052023-09-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 **-**서울특별시 관악구 관악로**가길 **-*, 지층 우측호 (봉천동)8736레나이엔터테인먼트2023-10-18 10:28:58U2022-10-30 22:00:00.0<NA>196121.623243442424.390537<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533200000CDFF32410920230000062023-09-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ***-** 중앙하이츠서울특별시 관악구 관천로**길 **, ***호 (신림동, 중앙하이츠)8703온유에이전시2023-09-21 10:08:45I2022-12-08 22:03:00.0<NA>192889.767937442907.96295<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543200000CDFF32410920230000072023-10-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ****-*서울특별시 관악구 호암로**길 **, ***호 (신림동)8812주식회사 레드슬리퍼스2023-10-16 10:30:03I2022-10-30 23:08:00.0<NA>194133.306935440732.569663<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553200000CDFF32410920230000082023-10-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ***-*서울특별시 관악구 신사로 ***, *층 (신림동)8702(주)위올레2023-10-17 10:17:41I2022-10-30 23:09:00.0<NA>192317.743639442775.501499<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563200000CDFF32410920230000092023-11-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 **** 성현동아아파트서울특별시 관악구 관악로 ***, ***동 ***호 (봉천동, 성현동아아파트)8726주식회사 필름초이스2023-11-01 14:35:32I2022-11-01 00:03:00.0<NA>195999.574887443044.700996<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573200000CDFF32410920230000102023-11-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 **-***서울특별시 관악구 신림로**나길 *, ***호 (신림동)8783모아더베스트2023-11-16 16:11:03I2022-10-31 23:08:00.0<NA>194167.375748441782.164965<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583200000CDFF32410920230000112023-11-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ***-* 신대방 노블루체서울특별시 관악구 난곡로 ***, ***호 (신림동, 신대방 노블루체)8767모아메디컬2023-11-16 16:26:33I2022-10-31 23:08:00.0<NA>192312.717746442379.654097<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>