Overview

Dataset statistics

Number of variables56
Number of observations79
Missing cells2269
Missing cells (%)51.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.9 KiB
Average record size in memory490.7 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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17192/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (56.8%)Imbalance
지상층수 is highly imbalanced (56.8%)Imbalance
지하층수 is highly imbalanced (56.8%)Imbalance
통로너비 is highly imbalanced (56.8%)Imbalance
조명시설조도 is highly imbalanced (56.8%)Imbalance
노래방실수 is highly imbalanced (56.8%)Imbalance
청소년실수 is highly imbalanced (56.8%)Imbalance
총게임기수 is highly imbalanced (56.8%)Imbalance
인허가취소일자 has 79 (100.0%) missing valuesMissing
폐업일자 has 60 (75.9%) missing valuesMissing
휴업시작일자 has 79 (100.0%) missing valuesMissing
휴업종료일자 has 79 (100.0%) missing valuesMissing
재개업일자 has 79 (100.0%) missing valuesMissing
전화번호 has 44 (55.7%) missing valuesMissing
소재지면적 has 79 (100.0%) missing valuesMissing
소재지우편번호 has 79 (100.0%) missing valuesMissing
지번주소 has 3 (3.8%) missing valuesMissing
업태구분명 has 79 (100.0%) missing valuesMissing
주변환경명 has 79 (100.0%) missing valuesMissing
제작취급품목내용 has 46 (58.2%) missing valuesMissing
시설면적 has 62 (78.5%) missing valuesMissing
건물용도명 has 79 (100.0%) missing valuesMissing
비상계단여부 has 79 (100.0%) missing valuesMissing
비상구여부 has 79 (100.0%) missing valuesMissing
자동환기여부 has 79 (100.0%) missing valuesMissing
청소년실여부 has 79 (100.0%) missing valuesMissing
특수조명여부 has 79 (100.0%) missing valuesMissing
방음시설여부 has 79 (100.0%) missing valuesMissing
비디오재생기명 has 79 (100.0%) missing valuesMissing
조명시설유무 has 79 (100.0%) missing valuesMissing
음향시설여부 has 79 (100.0%) missing valuesMissing
편의시설여부 has 79 (100.0%) missing valuesMissing
소방시설여부 has 79 (100.0%) missing valuesMissing
기존게임업외업종명 has 79 (100.0%) missing valuesMissing
제공게임물명 has 79 (100.0%) missing valuesMissing
공연장형태구분명 has 79 (100.0%) missing valuesMissing
품목명 has 79 (100.0%) missing valuesMissing
최초등록시점 has 79 (100.0%) missing valuesMissing
지역구분명 has 79 (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 4 (5.1%) zerosZeros

Reproduction

Analysis started2024-05-11 00:49:58.848435
Analysis finished2024-05-11 00:50:00.005779
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size764.0 B
3000000
79 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 79
100.0%

Length

2024-05-11T00:50:00.181068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:00.448142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 79
100.0%

관리번호
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T00:50:00.887178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1580
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

Unique79 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000003
2nd rowCDFF3241092015000004
3rd rowCDFF3241092015000005
4th rowCDFF3241092015000006
5th rowCDFF3241092015000007
ValueCountFrequency (%)
cdff3241092015000003 1
 
1.3%
cdff3241092022000019 1
 
1.3%
cdff3241092022000016 1
 
1.3%
cdff3241092022000015 1
 
1.3%
cdff3241092022000014 1
 
1.3%
cdff3241092022000013 1
 
1.3%
cdff3241092022000012 1
 
1.3%
cdff3241092022000011 1
 
1.3%
cdff3241092022000010 1
 
1.3%
cdff3241092022000008 1
 
1.3%
Other values (69) 69
87.3%
2024-05-11T00:50:01.700084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 536
33.9%
2 237
15.0%
F 158
 
10.0%
1 151
 
9.6%
3 102
 
6.5%
4 91
 
5.8%
9 90
 
5.7%
C 79
 
5.0%
D 79
 
5.0%
5 25
 
1.6%
Other values (3) 32
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1264
80.0%
Uppercase Letter 316
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 536
42.4%
2 237
18.8%
1 151
 
11.9%
3 102
 
8.1%
4 91
 
7.2%
9 90
 
7.1%
5 25
 
2.0%
7 13
 
1.0%
6 11
 
0.9%
8 8
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 158
50.0%
C 79
25.0%
D 79
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1264
80.0%
Latin 316
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 536
42.4%
2 237
18.8%
1 151
 
11.9%
3 102
 
8.1%
4 91
 
7.2%
9 90
 
7.1%
5 25
 
2.0%
7 13
 
1.0%
6 11
 
0.9%
8 8
 
0.6%
Latin
ValueCountFrequency (%)
F 158
50.0%
C 79
25.0%
D 79
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1580
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 536
33.9%
2 237
15.0%
F 158
 
10.0%
1 151
 
9.6%
3 102
 
6.5%
4 91
 
5.8%
9 90
 
5.7%
C 79
 
5.0%
D 79
 
5.0%
5 25
 
1.6%
Other values (3) 32
 
2.0%

인허가일자
Date

Distinct72
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2015-05-29 00:00:00
Maximum2023-10-23 00:00:00
2024-05-11T00:50:02.109749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:50:02.387429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
1
60 
5
10 
4
 
5
3
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row3
4th row5
5th row1

Common Values

ValueCountFrequency (%)
1 60
75.9%
5 10
 
12.7%
4 5
 
6.3%
3 4
 
5.1%

Length

2024-05-11T00:50:02.765568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:03.192297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 60
75.9%
5 10
 
12.7%
4 5
 
6.3%
3 4
 
5.1%

영업상태명
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
영업/정상
60 
제외/삭제/전출
10 
취소/말소/만료/정지/중지
 
5
폐업
 
4

Length

Max length14
Median length5
Mean length5.7974684
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 60
75.9%
제외/삭제/전출 10
 
12.7%
취소/말소/만료/정지/중지 5
 
6.3%
폐업 4
 
5.1%

Length

2024-05-11T00:50:03.480245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:03.824335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 60
75.9%
제외/삭제/전출 10
 
12.7%
취소/말소/만료/정지/중지 5
 
6.3%
폐업 4
 
5.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
13
60 
15
10 
35
 
5
3
 
4

Length

Max length2
Median length2
Mean length1.9493671
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row3
4th row15
5th row13

Common Values

ValueCountFrequency (%)
13 60
75.9%
15 10
 
12.7%
35 5
 
6.3%
3 4
 
5.1%

Length

2024-05-11T00:50:04.236734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:04.603380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 60
75.9%
15 10
 
12.7%
35 5
 
6.3%
3 4
 
5.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
영업중
60 
전출
10 
직권말소
 
5
폐업
 
4

Length

Max length4
Median length3
Mean length2.8860759
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 60
75.9%
전출 10
 
12.7%
직권말소 5
 
6.3%
폐업 4
 
5.1%

Length

2024-05-11T00:50:05.026671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:05.393553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 60
75.9%
전출 10
 
12.7%
직권말소 5
 
6.3%
폐업 4
 
5.1%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing60
Missing (%)75.9%
Memory size764.0 B
Minimum2016-05-11 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T00:50:05.724829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:50:06.119389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

전화번호
Text

MISSING 

Distinct34
Distinct (%)97.1%
Missing44
Missing (%)55.7%
Memory size764.0 B
2024-05-11T00:50:06.561402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.114286
Min length9

Characters and Unicode

Total characters389
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

Unique33 ?
Unique (%)94.3%

Sample

1st row02-3676-2352
2nd row025180812
3rd row070-8807-2443
4th row02-548-1548
5th row02-548-1548
ValueCountFrequency (%)
02-548-1548 2
 
5.7%
02-743-0816 1
 
2.9%
027440228 1
 
2.9%
1611-6981 1
 
2.9%
023323442 1
 
2.9%
02-738-6566 1
 
2.9%
070-8800-3675 1
 
2.9%
02-786-1977 1
 
2.9%
070-4060-1949 1
 
2.9%
025180812 1
 
2.9%
Other values (24) 24
68.6%
2024-05-11T00:50:07.742397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 63
16.2%
- 59
15.2%
2 55
14.1%
7 35
9.0%
8 33
8.5%
6 32
8.2%
1 29
7.5%
4 27
6.9%
5 23
 
5.9%
3 23
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 330
84.8%
Dash Punctuation 59
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 63
19.1%
2 55
16.7%
7 35
10.6%
8 33
10.0%
6 32
9.7%
1 29
8.8%
4 27
8.2%
5 23
 
7.0%
3 23
 
7.0%
9 10
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 389
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 63
16.2%
- 59
15.2%
2 55
14.1%
7 35
9.0%
8 33
8.5%
6 32
8.2%
1 29
7.5%
4 27
6.9%
5 23
 
5.9%
3 23
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 389
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 63
16.2%
- 59
15.2%
2 55
14.1%
7 35
9.0%
8 33
8.5%
6 32
8.2%
1 29
7.5%
4 27
6.9%
5 23
 
5.9%
3 23
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

지번주소
Text

MISSING 

Distinct71
Distinct (%)93.4%
Missing3
Missing (%)3.8%
Memory size764.0 B
2024-05-11T00:50:08.484579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length24.131579
Min length18

Characters and Unicode

Total characters1834
Distinct characters144
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

Unique66 ?
Unique (%)86.8%

Sample

1st row서울특별시 종로구 동숭동 *-**
2nd row서울특별시 종로구 명륜*가 *번지 *층
3rd row서울특별시 종로구 통의동 **-**번지 국제항운(주)
4th row서울특별시 종로구 묘동 **-*** 삼보빌딩
5th row서울특별시 종로구 평창동 **-* 이목빌딩 지하*층
ValueCountFrequency (%)
서울특별시 76
20.1%
종로구 76
20.1%
51
13.5%
번지 20
 
5.3%
동숭동 14
 
3.7%
호 8
 
2.1%
층 8
 
2.1%
명륜*가 7
 
1.9%
종로*가 5
 
1.3%
평창동 4
 
1.1%
Other values (81) 109
28.8%
2024-05-11T00:50:09.969853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
327
17.8%
* 305
16.6%
종 89
 
4.9%
로 87
 
4.7%
동 80
 
4.4%
서 78
 
4.3%
시 78
 
4.3%
울 77
 
4.2%
특 76
 
4.1%
별 76
 
4.1%
Other values (134) 561
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1123
61.2%
Space Separator 327
 
17.8%
Other Punctuation 305
 
16.6%
Dash Punctuation 56
 
3.1%
Decimal Number 15
 
0.8%
Uppercase Letter 6
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 89
 
7.9%
로 87
 
7.7%
동 80
 
7.1%
서 78
 
6.9%
시 78
 
6.9%
울 77
 
6.9%
특 76
 
6.8%
별 76
 
6.8%
구 76
 
6.8%
빌 33
 
2.9%
Other values (117) 373
33.2%
Decimal Number
ValueCountFrequency (%)
2 4
26.7%
7 2
13.3%
0 2
13.3%
8 2
13.3%
1 2
13.3%
3 2
13.3%
5 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
B 1
16.7%
D 1
16.7%
U 1
16.7%
W 1
16.7%
Space Separator
ValueCountFrequency (%)
327
100.0%
Other Punctuation
ValueCountFrequency (%)
* 305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1123
61.2%
Common 705
38.4%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 89
 
7.9%
로 87
 
7.7%
동 80
 
7.1%
서 78
 
6.9%
시 78
 
6.9%
울 77
 
6.9%
특 76
 
6.8%
별 76
 
6.8%
구 76
 
6.8%
빌 33
 
2.9%
Other values (117) 373
33.2%
Common
ValueCountFrequency (%)
327
46.4%
* 305
43.3%
- 56
 
7.9%
2 4
 
0.6%
7 2
 
0.3%
0 2
 
0.3%
8 2
 
0.3%
1 2
 
0.3%
3 2
 
0.3%
5 1
 
0.1%
Other values (2) 2
 
0.3%
Latin
ValueCountFrequency (%)
S 2
33.3%
B 1
16.7%
D 1
16.7%
U 1
16.7%
W 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1123
61.2%
ASCII 711
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
327
46.0%
* 305
42.9%
- 56
 
7.9%
2 4
 
0.6%
7 2
 
0.3%
0 2
 
0.3%
S 2
 
0.3%
8 2
 
0.3%
1 2
 
0.3%
3 2
 
0.3%
Other values (7) 7
 
1.0%
Hangul
ValueCountFrequency (%)
종 89
 
7.9%
로 87
 
7.7%
동 80
 
7.1%
서 78
 
6.9%
시 78
 
6.9%
울 77
 
6.9%
특 76
 
6.8%
별 76
 
6.8%
구 76
 
6.8%
빌 33
 
2.9%
Other values (117) 373
33.2%

도로명주소
Text

Distinct76
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T00:50:10.834720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length34.392405
Min length22

Characters and Unicode

Total characters2717
Distinct characters168
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

Unique73 ?
Unique (%)92.4%

Sample

1st row서울특별시 종로구 대학로*가길 **, *층 (동숭동)
2nd row서울특별시 종로구 성균관로 **, *층 (명륜*가)
3rd row서울특별시 종로구 효자로 **, 국제항운(주) B*호 (통의동)
4th row서울특별시 종로구 율곡로*길 ***, ***호 (묘동, 삼보빌딩)
5th row서울특별시 종로구 평창문화로 ***, 지하*층 (평창동, 이목빌딩)
ValueCountFrequency (%)
서울특별시 79
 
14.4%
종로구 79
 
14.4%
74
 
13.5%
층 35
 
6.4%
호 32
 
5.9%
동숭동 14
 
2.6%
대학로**길 7
 
1.3%
명륜*가 7
 
1.3%
지하*층 6
 
1.1%
종로 5
 
0.9%
Other values (147) 209
38.2%
2024-05-11T00:50:12.570515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
468
17.2%
* 421
 
15.5%
로 156
 
5.7%
종 104
 
3.8%
동 93
 
3.4%
, 89
 
3.3%
서 81
 
3.0%
시 81
 
3.0%
울 80
 
2.9%
( 80
 
2.9%
Other values (158) 1064
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1523
56.1%
Other Punctuation 510
 
18.8%
Space Separator 468
 
17.2%
Open Punctuation 80
 
2.9%
Close Punctuation 80
 
2.9%
Decimal Number 24
 
0.9%
Dash Punctuation 16
 
0.6%
Uppercase Letter 16
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 156
 
10.2%
종 104
 
6.8%
동 93
 
6.1%
서 81
 
5.3%
시 81
 
5.3%
울 80
 
5.3%
구 79
 
5.2%
별 79
 
5.2%
특 79
 
5.2%
길 46
 
3.0%
Other values (135) 645
42.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
37.5%
D 2
 
12.5%
S 2
 
12.5%
K 1
 
6.2%
L 1
 
6.2%
A 1
 
6.2%
E 1
 
6.2%
U 1
 
6.2%
W 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
1 5
20.8%
2 5
20.8%
3 4
16.7%
7 3
12.5%
5 2
 
8.3%
0 2
 
8.3%
8 2
 
8.3%
4 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
* 421
82.5%
, 89
 
17.5%
Space Separator
ValueCountFrequency (%)
468
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1523
56.1%
Common 1178
43.4%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 156
 
10.2%
종 104
 
6.8%
동 93
 
6.1%
서 81
 
5.3%
시 81
 
5.3%
울 80
 
5.3%
구 79
 
5.2%
별 79
 
5.2%
특 79
 
5.2%
길 46
 
3.0%
Other values (135) 645
42.4%
Common
ValueCountFrequency (%)
468
39.7%
* 421
35.7%
, 89
 
7.6%
( 80
 
6.8%
) 80
 
6.8%
- 16
 
1.4%
1 5
 
0.4%
2 5
 
0.4%
3 4
 
0.3%
7 3
 
0.3%
Other values (4) 7
 
0.6%
Latin
ValueCountFrequency (%)
B 6
37.5%
D 2
 
12.5%
S 2
 
12.5%
K 1
 
6.2%
L 1
 
6.2%
A 1
 
6.2%
E 1
 
6.2%
U 1
 
6.2%
W 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1523
56.1%
ASCII 1194
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
468
39.2%
* 421
35.3%
, 89
 
7.5%
( 80
 
6.7%
) 80
 
6.7%
- 16
 
1.3%
B 6
 
0.5%
1 5
 
0.4%
2 5
 
0.4%
3 4
 
0.3%
Other values (13) 20
 
1.7%
Hangul
ValueCountFrequency (%)
로 156
 
10.2%
종 104
 
6.8%
동 93
 
6.1%
서 81
 
5.3%
시 81
 
5.3%
울 80
 
5.3%
구 79
 
5.2%
별 79
 
5.2%
특 79
 
5.2%
길 46
 
3.0%
Other values (135) 645
42.4%

도로명우편번호
Real number (ℝ)

Distinct52
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3105.7975
Minimum3002
Maximum3198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T00:50:13.281482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3002
5-th percentile3019.3
Q13067.5
median3088
Q33148.5
95-th percentile3189.1
Maximum3198
Range196
Interquartile range (IQR)81

Descriptive statistics

Standard deviation53.771926
Coefficient of variation (CV)0.017313404
Kurtosis-0.95438739
Mean3105.7975
Median Absolute Deviation (MAD)46
Skewness-0.080588958
Sum245358
Variance2891.42
MonotonicityNot monotonic
2024-05-11T00:50:13.885181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3086 10
 
12.7%
3044 3
 
3.8%
3134 3
 
3.8%
3140 3
 
3.8%
3088 2
 
2.5%
3085 2
 
2.5%
3116 2
 
2.5%
3139 2
 
2.5%
3198 2
 
2.5%
3035 2
 
2.5%
Other values (42) 48
60.8%
ValueCountFrequency (%)
3002 1
 
1.3%
3003 1
 
1.3%
3004 2
2.5%
3021 1
 
1.3%
3022 1
 
1.3%
3028 1
 
1.3%
3035 2
2.5%
3038 1
 
1.3%
3044 3
3.8%
3052 1
 
1.3%
ValueCountFrequency (%)
3198 2
2.5%
3196 1
1.3%
3190 1
1.3%
3189 1
1.3%
3186 1
1.3%
3183 1
1.3%
3182 2
2.5%
3174 1
1.3%
3170 1
1.3%
3169 1
1.3%

사업장명
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-05-11T00:50:14.837691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length10.886076
Min length3

Characters and Unicode

Total characters860
Distinct characters203
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

Unique79 ?
Unique (%)100.0%

Sample

1st row주식회사 레드앤블루
2nd row(주)위드에이치씨 (withHC)
3rd row오디오가이
4th row(주) 서태지컴퍼니
5th row프렌즈닷넷
ValueCountFrequency (%)
주식회사 32
 
24.8%
지티지이지스엔터 1
 
0.8%
혜우원 1
 
0.8%
두바림 1
 
0.8%
주)툴뮤직 1
 
0.8%
가트래블 1
 
0.8%
거쉬클라우드코리아(주 1
 
0.8%
인플라이 1
 
0.8%
한국전통미술융합진흥원 1
 
0.8%
사단법인 1
 
0.8%
Other values (88) 88
68.2%
2024-05-11T00:50:16.376329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 62
 
7.2%
50
 
5.8%
( 36
 
4.2%
) 36
 
4.2%
사 36
 
4.2%
회 33
 
3.8%
식 32
 
3.7%
이 30
 
3.5%
스 21
 
2.4%
트 21
 
2.4%
Other values (193) 503
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 660
76.7%
Space Separator 50
 
5.8%
Lowercase Letter 47
 
5.5%
Open Punctuation 36
 
4.2%
Close Punctuation 36
 
4.2%
Uppercase Letter 24
 
2.8%
Other Punctuation 4
 
0.5%
Decimal Number 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 62
 
9.4%
사 36
 
5.5%
회 33
 
5.0%
식 32
 
4.8%
이 30
 
4.5%
스 21
 
3.2%
트 21
 
3.2%
인 20
 
3.0%
엔 18
 
2.7%
터 17
 
2.6%
Other values (153) 370
56.1%
Uppercase Letter
ValueCountFrequency (%)
C 4
16.7%
E 3
12.5%
O 2
 
8.3%
N 2
 
8.3%
L 2
 
8.3%
F 1
 
4.2%
H 1
 
4.2%
M 1
 
4.2%
I 1
 
4.2%
A 1
 
4.2%
Other values (6) 6
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
14.9%
t 6
12.8%
n 6
12.8%
i 4
8.5%
r 4
8.5%
o 4
8.5%
d 4
8.5%
a 3
6.4%
h 2
 
4.3%
c 2
 
4.3%
Other values (5) 5
10.6%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
& 1
25.0%
, 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
0 1
33.3%
7 1
33.3%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 660
76.7%
Common 129
 
15.0%
Latin 71
 
8.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 62
 
9.4%
사 36
 
5.5%
회 33
 
5.0%
식 32
 
4.8%
이 30
 
4.5%
스 21
 
3.2%
트 21
 
3.2%
인 20
 
3.0%
엔 18
 
2.7%
터 17
 
2.6%
Other values (153) 370
56.1%
Latin
ValueCountFrequency (%)
e 7
 
9.9%
t 6
 
8.5%
n 6
 
8.5%
i 4
 
5.6%
r 4
 
5.6%
o 4
 
5.6%
C 4
 
5.6%
d 4
 
5.6%
E 3
 
4.2%
a 3
 
4.2%
Other values (21) 26
36.6%
Common
ValueCountFrequency (%)
50
38.8%
( 36
27.9%
) 36
27.9%
. 2
 
1.6%
2 1
 
0.8%
0 1
 
0.8%
7 1
 
0.8%
& 1
 
0.8%
, 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 660
76.7%
ASCII 200
 
23.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 62
 
9.4%
사 36
 
5.5%
회 33
 
5.0%
식 32
 
4.8%
이 30
 
4.5%
스 21
 
3.2%
트 21
 
3.2%
인 20
 
3.0%
엔 18
 
2.7%
터 17
 
2.6%
Other values (153) 370
56.1%
ASCII
ValueCountFrequency (%)
50
25.0%
( 36
18.0%
) 36
18.0%
e 7
 
3.5%
t 6
 
3.0%
n 6
 
3.0%
i 4
 
2.0%
r 4
 
2.0%
o 4
 
2.0%
C 4
 
2.0%
Other values (30) 43
21.5%

최종수정일자
Date

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2015-06-05 14:50:38
Maximum2024-04-30 09:28:39
2024-05-11T00:50:17.070577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:50:17.671506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
I
46 
U
33 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 46
58.2%
U 33
41.8%

Length

2024-05-11T00:50:18.245807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:18.668919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 46
58.2%
u 33
41.8%

데이터갱신일자
Date

Distinct62
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T00:50:19.085012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:50:19.617508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

좌표정보(X)
Real number (ℝ)

Distinct70
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198999.52
Minimum196568.19
Maximum201946.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T00:50:20.166785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196568.19
5-th percentile196893.87
Q1198152.88
median198865.7
Q3200180.61
95-th percentile200436.45
Maximum201946.87
Range5378.6728
Interquartile range (IQR)2027.731

Descriptive statistics

Standard deviation1236.6909
Coefficient of variation (CV)0.006214542
Kurtosis-0.71530206
Mean198999.52
Median Absolute Deviation (MAD)1181.8361
Skewness-0.020135293
Sum15720962
Variance1529404.3
MonotonicityNot monotonic
2024-05-11T00:50:20.895654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200220.113435114 2
 
2.5%
199155.542697952 2
 
2.5%
198503.329082237 2
 
2.5%
200180.614971988 2
 
2.5%
197617.250942852 2
 
2.5%
200542.258243379 2
 
2.5%
200348.502809135 2
 
2.5%
200285.865437991 2
 
2.5%
198176.159239663 2
 
2.5%
201898.977448681 1
 
1.3%
Other values (60) 60
75.9%
ValueCountFrequency (%)
196568.193558601 1
1.3%
196659.021892704 1
1.3%
196790.827942668 1
1.3%
196831.669989477 1
1.3%
196900.778975161 1
1.3%
197248.98886396 1
1.3%
197288.633145983 1
1.3%
197309.911989884 1
1.3%
197478.53747014 1
1.3%
197567.849954354 1
1.3%
ValueCountFrequency (%)
201946.86632604 1
1.3%
201898.977448681 1
1.3%
200542.258243379 2
2.5%
200424.69292314 1
1.3%
200348.502809135 2
2.5%
200314.460005252 1
1.3%
200291.374084556 1
1.3%
200285.865437991 2
2.5%
200284.079710268 1
1.3%
200279.216755423 1
1.3%

좌표정보(Y)
Real number (ℝ)

Distinct70
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean453033.16
Minimum451832.63
Maximum457056.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T00:50:21.470542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451832.63
5-th percentile452019.11
Q1452267.01
median452770.54
Q3453370.31
95-th percentile455202.84
Maximum457056.17
Range5223.5455
Interquartile range (IQR)1103.2937

Descriptive statistics

Standard deviation1094.6418
Coefficient of variation (CV)0.0024162509
Kurtosis3.9153062
Mean453033.16
Median Absolute Deviation (MAD)578.3727
Skewness1.8576256
Sum35789620
Variance1198240.7
MonotonicityNot monotonic
2024-05-11T00:50:22.057106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453354.41563801 2
 
2.5%
452083.12305066 2
 
2.5%
452297.556997868 2
 
2.5%
453354.910382443 2
 
2.5%
452770.544082169 2
 
2.5%
452057.126859583 2
 
2.5%
452882.607271778 2
 
2.5%
453215.079141585 2
 
2.5%
452574.67151361 2
 
2.5%
452274.691734276 1
 
1.3%
Other values (60) 60
75.9%
ValueCountFrequency (%)
451832.627163341 1
1.3%
451931.761151028 1
1.3%
451932.36673738 1
1.3%
452018.161511911 1
1.3%
452019.212642931 1
1.3%
452024.954310021 1
1.3%
452035.176830457 1
1.3%
452057.126859583 2
2.5%
452083.12305066 2
2.5%
452091.444332546 1
1.3%
ValueCountFrequency (%)
457056.172712929 1
1.3%
456651.617846455 1
1.3%
456364.152893731 1
1.3%
456338.804615085 1
1.3%
455076.61977062 1
1.3%
454421.839752536 1
1.3%
454359.506546773 1
1.3%
454280.012195915 1
1.3%
454220.219628483 1
1.3%
454185.615565081 1
1.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
46 
대중문화예술기획업
33 

Length

Max length9
Median length4
Mean length6.0886076
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
58.2%
대중문화예술기획업 33
41.8%

Length

2024-05-11T00:50:22.535232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:22.933418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
58.2%
대중문화예술기획업 33
41.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
46 
유통관련업
33 

Length

Max length5
Median length4
Mean length4.4177215
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
58.2%
유통관련업 33
41.8%

Length

2024-05-11T00:50:23.400312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:23.758442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
58.2%
유통관련업 33
41.8%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
72 
0
 
7

Length

Max length4
Median length4
Mean length3.7341772
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> 72
91.1%
0 7
 
8.9%

Length

2024-05-11T00:50:24.155490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:24.517143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
91.1%
0 7
 
8.9%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

제작취급품목내용
Text

MISSING 

Distinct25
Distinct (%)75.8%
Missing46
Missing (%)58.2%
Memory size764.0 B
2024-05-11T00:50:25.001219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length15
Mean length10.272727
Min length4

Characters and Unicode

Total characters339
Distinct characters57
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)63.6%

Sample

1st row연예매니지먼트
2nd row매니지먼트
3rd row엔터테인먼트,연예매니지먼트,연예인대리
4th row매니지먼트
5th row연예인 대리
ValueCountFrequency (%)
매니지먼트 11
17.7%
엔터테인먼트 6
 
9.7%
공연기획 5
 
8.1%
연예매니지먼트 4
 
6.5%
연예인 3
 
4.8%
매니저업 2
 
3.2%
에이전시 2
 
3.2%
제작 2
 
3.2%
배우매니지먼트 1
 
1.6%
업무 1
 
1.6%
Other values (25) 25
40.3%
2024-05-11T00:50:26.142418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
8.6%
먼 27
 
8.0%
트 27
 
8.0%
연 23
 
6.8%
, 21
 
6.2%
매 21
 
6.2%
니 21
 
6.2%
지 21
 
6.2%
예 15
 
4.4%
인 14
 
4.1%
Other values (47) 120
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
84.7%
Space Separator 29
 
8.6%
Other Punctuation 21
 
6.2%
Uppercase Letter 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
먼 27
 
9.4%
트 27
 
9.4%
연 23
 
8.0%
매 21
 
7.3%
니 21
 
7.3%
지 21
 
7.3%
예 15
 
5.2%
인 14
 
4.9%
획 11
 
3.8%
기 11
 
3.8%
Other values (43) 96
33.4%
Uppercase Letter
ValueCountFrequency (%)
F 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
84.7%
Common 50
 
14.7%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
먼 27
 
9.4%
트 27
 
9.4%
연 23
 
8.0%
매 21
 
7.3%
니 21
 
7.3%
지 21
 
7.3%
예 15
 
5.2%
인 14
 
4.9%
획 11
 
3.8%
기 11
 
3.8%
Other values (43) 96
33.4%
Common
ValueCountFrequency (%)
29
58.0%
, 21
42.0%
Latin
ValueCountFrequency (%)
F 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
84.7%
ASCII 52
 
15.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
55.8%
, 21
40.4%
F 1
 
1.9%
C 1
 
1.9%
Hangul
ValueCountFrequency (%)
먼 27
 
9.4%
트 27
 
9.4%
연 23
 
8.0%
매 21
 
7.3%
니 21
 
7.3%
지 21
 
7.3%
예 15
 
5.2%
인 14
 
4.9%
획 11
 
3.8%
기 11
 
3.8%
Other values (43) 96
33.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)82.4%
Missing62
Missing (%)78.5%
Infinite0
Infinite (%)0.0%
Mean66.426471
Minimum0
Maximum255.34
Zeros4
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-05-11T00:50:26.547429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.53
median56.48
Q382.11
95-th percentile166.252
Maximum255.34
Range255.34
Interquartile range (IQR)65.58

Descriptive statistics

Standard deviation64.904979
Coefficient of variation (CV)0.9770951
Kurtosis3.5694782
Mean66.426471
Median Absolute Deviation (MAD)31.44
Skewness1.5898305
Sum1129.25
Variance4212.6563
MonotonicityNot monotonic
2024-05-11T00:50:26.961644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 4
 
5.1%
127.26 1
 
1.3%
45.89 1
 
1.3%
143.98 1
 
1.3%
56.48 1
 
1.3%
50.0 1
 
1.3%
87.92 1
 
1.3%
66.0 1
 
1.3%
16.53 1
 
1.3%
255.34 1
 
1.3%
Other values (4) 4
 
5.1%
(Missing) 62
78.5%
ValueCountFrequency (%)
0.0 4
5.1%
16.53 1
 
1.3%
45.89 1
 
1.3%
50.0 1
 
1.3%
53.29 1
 
1.3%
56.48 1
 
1.3%
64.45 1
 
1.3%
66.0 1
 
1.3%
80.0 1
 
1.3%
82.11 1
 
1.3%
ValueCountFrequency (%)
255.34 1
1.3%
143.98 1
1.3%
127.26 1
1.3%
87.92 1
1.3%
82.11 1
1.3%
80.0 1
1.3%
66.0 1
1.3%
64.45 1
1.3%
56.48 1
1.3%
53.29 1
1.3%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
72 
0
 
7

Length

Max length4
Median length4
Mean length3.7341772
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> 72
91.1%
0 7
 
8.9%

Length

2024-05-11T00:50:27.408412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:27.859913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
91.1%
0 7
 
8.9%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
72 
0
 
7

Length

Max length4
Median length4
Mean length3.7341772
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> 72
91.1%
0 7
 
8.9%

Length

2024-05-11T00:50:28.515132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:28.920125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
91.1%
0 7
 
8.9%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
72 
0
 
7

Length

Max length4
Median length4
Mean length3.7341772
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> 72
91.1%
0 7
 
8.9%

Length

2024-05-11T00:50:29.305161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:29.827354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
91.1%
0 7
 
8.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
72 
0
 
7

Length

Max length4
Median length4
Mean length3.7341772
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> 72
91.1%
0 7
 
8.9%

Length

2024-05-11T00:50:30.335375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:30.764993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
91.1%
0 7
 
8.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
72 
0
 
7

Length

Max length4
Median length4
Mean length3.7341772
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> 72
91.1%
0 7
 
8.9%

Length

2024-05-11T00:50:31.210884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:31.621898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
91.1%
0 7
 
8.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
72 
0
 
7

Length

Max length4
Median length4
Mean length3.7341772
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> 72
91.1%
0 7
 
8.9%

Length

2024-05-11T00:50:32.066673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:32.437005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
91.1%
0 7
 
8.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
<NA>
72 
0
 
7

Length

Max length4
Median length4
Mean length3.7341772
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> 72
91.1%
0 7
 
8.9%

Length

2024-05-11T00:50:32.890960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:50:33.312900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 72
91.1%
0 7
 
8.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing79
Missing (%)100.0%
Memory size843.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF32410920150000032015-06-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 *-**서울특별시 종로구 대학로*가길 **, *층 (동숭동)3086주식회사 레드앤블루2023-03-14 13:25:46U2022-12-02 23:06:00.0<NA>200220.113435453354.415638<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13000000CDFF324109201500000420150605<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3676-2352<NA><NA>서울특별시 종로구 명륜*가 *번지 *층서울특별시 종로구 성균관로 **, *층 (명륜*가)3066(주)위드에이치씨 (withHC)2015-06-05 14:50:38I2018-08-31 23:59:59.0<NA>199779.552101454185.615565대중문화예술기획업유통관련업<NA><NA>연예매니지먼트127.26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23000000CDFF324109201500000520150608<NA>3폐업3폐업20191015<NA><NA><NA><NA><NA><NA>서울특별시 종로구 통의동 **-**번지 국제항운(주)서울특별시 종로구 효자로 **, 국제항운(주) B*호 (통의동)3044오디오가이2019-10-15 13:58:16U2019-11-20 02:40:00.0<NA>197604.691668452864.475936대중문화예술기획업유통관련업<NA><NA>매니지먼트45.89<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000CDFF324109201500000620150625<NA>5제외/삭제/전출15전출20220526<NA><NA><NA>025180812<NA><NA>서울특별시 종로구 묘동 **-*** 삼보빌딩서울특별시 종로구 율곡로*길 ***, ***호 (묘동, 삼보빌딩)3134(주) 서태지컴퍼니2022-05-26 09:44:39U2021-12-04 22:08:00.0<NA>199216.793276452275.687632<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43000000CDFF32410920150000072015-06-29<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8807-2443<NA><NA>서울특별시 종로구 평창동 **-* 이목빌딩 지하*층서울특별시 종로구 평창문화로 ***, 지하*층 (평창동, 이목빌딩)3004프렌즈닷넷2023-03-10 16:57:58U2022-12-02 23:02:00.0<NA>197617.321768456364.152894<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53000000CDFF324109201500000920150716<NA>4취소/말소/만료/정지/중지35직권말소20171231<NA><NA><NA>02-548-1548<NA><NA>서울특별시 종로구 동숭동 *-** 석마빌딩 *층서울특별시 종로구 대학로**길 **, *층 (동숭동, 석마빌딩)3086아시아브릿지컨텐츠(주)2022-06-13 11:34:09U2021-12-05 23:05:00.0<NA>200285.865438453215.079142<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63000000CDFF324109201500001020150722<NA>4취소/말소/만료/정지/중지35직권말소20170831<NA><NA><NA>02-548-1548<NA><NA>서울특별시 종로구 동숭동 *-** 석마빌딩 *층서울특별시 종로구 대학로**길 **, *층 (동숭동, 석마빌딩)3086로브라더스(주)2022-06-13 11:34:41U2021-12-05 23:05:00.0<NA>200285.865438453215.079142<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFF324109201500001120150724<NA>1영업/정상13영업중<NA><NA><NA><NA>02-745-0517<NA><NA>서울특별시 종로구 낙원동 ***-*번지 낙원빌딩 ***호서울특별시 종로구 삼일대로 ***, ***호 (낙원동, 낙원빌딩)3140프레토 주식회사2017-11-20 09:35:38I2018-08-31 23:59:59.0<NA>198852.959717452253.942585대중문화예술기획업유통관련업<NA><NA>엔터테인먼트,연예매니지먼트,연예인대리<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83000000CDFF324109201500001320150724<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3472-9318<NA><NA>서울특별시 종로구 동숭동 *-**번지 리모트빌딩 *층서울특별시 종로구 대학로*가길 **, *층 (동숭동, 리모트빌딩)3086남뮤지컬아카데미2015-07-24 17:46:45I2018-08-31 23:59:59.0<NA>200220.113435453354.415638대중문화예술기획업유통관련업<NA><NA>매니지먼트143.98<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93000000CDFF324109201500001420150724<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 내수동 **번지 경희궁의 아침 *단지서울특별시 종로구 새문안로*길 **, 경희궁의 아침 *단지 지하*층 B***,B***호 (내수동)3174호진커뮤니케이션즈2020-03-04 15:32:09U2020-03-06 02:40:00.0<NA>197478.53747452259.334814대중문화예술기획업유통관련업<NA><NA>연예인 대리56.48<NA><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
693000000CDFF32410920230000082023-06-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 *-** 계우빌딩서울특별시 종로구 대학로**길 **, 계우빌딩 *층 ***호 K***호 (동숭동)3086주식회사 메이드커뮤니케이션2023-07-28 16:47:37I2022-12-06 21:00:00.0<NA>200284.07971453238.540021<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
703000000CDFF32410920230000092023-08-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-766-9880<NA><NA>서울특별시 종로구 명륜*가 **-*서울특별시 종로구 혜화로*가길 **, *층 (명륜*가)3068(주)꿈꾸는용2023-08-02 17:08:07I2022-12-08 00:04:00.0<NA>199786.02597453834.467181<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
713000000CDFF32410920230000102023-09-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 ****서울특별시 종로구 난계로**길 **, ***호 (숭인동)3116주식회사 디픽스2023-09-11 16:41:39I2022-12-08 23:03:00.0<NA>201898.977449452274.691734<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
723000000CDFF32410920230000112023-10-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-779-7161<NA><NA>서울특별시 종로구 경운동 **-* 서원빌딩서울특별시 종로구 삼일대로 ***, 서원빌딩 **층 (경운동)3147주식회사 더스타파트너2023-10-10 11:25:23I2022-10-30 23:02:00.0<NA>198690.658978452665.844738<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
733000000CDFF32410920230000122022-12-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜*가 **-* 명륜***서울특별시 종로구 대학로 ***-* (명륜*가, 명륜***)3078(주)이모셔널씨어터2023-10-16 13:10:48U2022-10-30 23:08:00.0<NA>200047.531188453423.102086<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
743000000CDFF32410920230000132023-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 혜화동 *-**서울특별시 종로구 혜화로**길 **, ***호 (혜화동)3067오르카 엔터테인먼트(Orca Entertainment)2023-10-23 16:00:02I2022-10-30 22:05:00.0<NA>199941.968682454359.506547<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
753000000CDFF32410920230000142019-10-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 종로*가 ***-* 동대문종합시장서울특별시 종로구 종로 ***, 동대문종합시장 B동 *층 E-**호 (종로*가)3198주식회사 시크릿아이콘2023-11-17 14:28:45I2022-10-31 23:09:00.0<NA>200542.258243452057.12686<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
763000000CDFF32410920240000012021-06-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 중학동 ** 트윈 트리 빌딩서울특별시 종로구 율곡로 *, 트윈 트리 빌딩 에이동 **층 에프, 지호 (중학동)3142샤이닝랩 주식회사2024-01-15 17:50:57I2023-11-30 23:08:00.0<NA>198176.15924452574.671514<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
773000000CDFF32410920240000022019-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 중학동 ** 트윈 트리 빌딩서울특별시 종로구 율곡로 *, 트윈 트리 빌딩 A동 **층 L호 (중학동)3142오디오가이(주)2024-01-25 09:58:09I2023-11-30 22:07:00.0<NA>198176.15924452574.671514<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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