Overview

Dataset statistics

Number of variables56
Number of observations58
Missing cells1607
Missing cells (%)49.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.8 KiB
Average record size in memory491.3 B

Variable types

Categorical17
Text6
DateTime4
Unsupported25
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-17211/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (87.4%)Imbalance
총층수 is highly imbalanced (63.8%)Imbalance
지상층수 is highly imbalanced (63.8%)Imbalance
지하층수 is highly imbalanced (63.8%)Imbalance
통로너비 is highly imbalanced (63.8%)Imbalance
조명시설조도 is highly imbalanced (63.8%)Imbalance
노래방실수 is highly imbalanced (63.8%)Imbalance
청소년실수 is highly imbalanced (63.8%)Imbalance
총게임기수 is highly imbalanced (63.8%)Imbalance
폐업일자 has 37 (63.8%) missing valuesMissing
휴업시작일자 has 58 (100.0%) missing valuesMissing
휴업종료일자 has 58 (100.0%) missing valuesMissing
재개업일자 has 58 (100.0%) missing valuesMissing
전화번호 has 49 (84.5%) missing valuesMissing
소재지면적 has 58 (100.0%) missing valuesMissing
소재지우편번호 has 58 (100.0%) missing valuesMissing
지번주소 has 2 (3.4%) missing valuesMissing
업태구분명 has 58 (100.0%) missing valuesMissing
주변환경명 has 58 (100.0%) missing valuesMissing
제작취급품목내용 has 22 (37.9%) missing valuesMissing
시설면적 has 47 (81.0%) missing valuesMissing
건물용도명 has 58 (100.0%) missing valuesMissing
비상계단여부 has 58 (100.0%) missing valuesMissing
비상구여부 has 58 (100.0%) missing valuesMissing
자동환기여부 has 58 (100.0%) missing valuesMissing
청소년실여부 has 58 (100.0%) missing valuesMissing
특수조명여부 has 58 (100.0%) missing valuesMissing
방음시설여부 has 58 (100.0%) missing valuesMissing
비디오재생기명 has 58 (100.0%) missing valuesMissing
조명시설유무 has 58 (100.0%) missing valuesMissing
음향시설여부 has 58 (100.0%) missing valuesMissing
편의시설여부 has 58 (100.0%) missing valuesMissing
소방시설여부 has 58 (100.0%) missing valuesMissing
기존게임업외업종명 has 58 (100.0%) missing valuesMissing
제공게임물명 has 58 (100.0%) missing valuesMissing
공연장형태구분명 has 58 (100.0%) missing valuesMissing
품목명 has 58 (100.0%) missing valuesMissing
최초등록시점 has 58 (100.0%) missing valuesMissing
지역구분명 has 58 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
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 (6.9%) zerosZeros

Reproduction

Analysis started2024-05-11 05:29:43.136058
Analysis finished2024-05-11 05:29:43.838549
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
3190000
58 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3190000 58
100.0%

Length

2024-05-11T14:29:43.910238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:44.016114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 58
100.0%

관리번호
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-11T14:29:44.204375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1160
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

Unique58 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000002
3rd rowCDFF3241092015000003
4th rowCDFF3241092015000004
5th rowCDFF3241092015000005
ValueCountFrequency (%)
cdff3241092015000001 1
 
1.7%
cdff3241092021000006 1
 
1.7%
cdff3241092023000005 1
 
1.7%
cdff3241092020000001 1
 
1.7%
cdff3241092020000003 1
 
1.7%
cdff3241092020000005 1
 
1.7%
cdff3241092020000007 1
 
1.7%
cdff3241092020000008 1
 
1.7%
cdff3241092020000009 1
 
1.7%
cdff3241092021000001 1
 
1.7%
Other values (48) 48
82.8%
2024-05-11T14:29:44.537915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 406
35.0%
2 156
 
13.4%
1 118
 
10.2%
F 116
 
10.0%
3 69
 
5.9%
9 65
 
5.6%
4 63
 
5.4%
C 58
 
5.0%
D 58
 
5.0%
5 22
 
1.9%
Other values (3) 29
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 928
80.0%
Uppercase Letter 232
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 406
43.8%
2 156
 
16.8%
1 118
 
12.7%
3 69
 
7.4%
9 65
 
7.0%
4 63
 
6.8%
5 22
 
2.4%
6 12
 
1.3%
7 9
 
1.0%
8 8
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 116
50.0%
C 58
25.0%
D 58
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 928
80.0%
Latin 232
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 406
43.8%
2 156
 
16.8%
1 118
 
12.7%
3 69
 
7.4%
9 65
 
7.0%
4 63
 
6.8%
5 22
 
2.4%
6 12
 
1.3%
7 9
 
1.0%
8 8
 
0.9%
Latin
ValueCountFrequency (%)
F 116
50.0%
C 58
25.0%
D 58
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 406
35.0%
2 156
 
13.4%
1 118
 
10.2%
F 116
 
10.0%
3 69
 
5.9%
9 65
 
5.6%
4 63
 
5.4%
C 58
 
5.0%
D 58
 
5.0%
5 22
 
1.9%
Other values (3) 29
 
2.5%

인허가일자
Date

Distinct54
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2015-03-30 00:00:00
Maximum2023-09-13 00:00:00
2024-05-11T14:29:44.737004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:29:44.960694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
57 
20171115
 
1

Length

Max length8
Median length4
Mean length4.0689655
Min length4

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
98.3%
20171115 1
 
1.7%

Length

2024-05-11T14:29:45.114712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:45.235544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
98.3%
20171115 1
 
1.7%

영업상태코드
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
1
36 
3
13 
5
8 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 36
62.1%
3 13
 
22.4%
5 8
 
13.8%
4 1
 
1.7%

Length

2024-05-11T14:29:45.346920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:45.472916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
62.1%
3 13
 
22.4%
5 8
 
13.8%
4 1
 
1.7%

영업상태명
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
영업/정상
36 
폐업
13 
제외/삭제/전출
8 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.8965517
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 36
62.1%
폐업 13
 
22.4%
제외/삭제/전출 8
 
13.8%
취소/말소/만료/정지/중지 1
 
1.7%

Length

2024-05-11T14:29:45.646947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:45.785365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 36
62.1%
폐업 13
 
22.4%
제외/삭제/전출 8
 
13.8%
취소/말소/만료/정지/중지 1
 
1.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
13
36 
3
13 
15
8 
31
 
1

Length

Max length2
Median length2
Mean length1.7758621
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
13 36
62.1%
3 13
 
22.4%
15 8
 
13.8%
31 1
 
1.7%

Length

2024-05-11T14:29:45.912707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:46.024961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 36
62.1%
3 13
 
22.4%
15 8
 
13.8%
31 1
 
1.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size596.0 B
영업중
36 
폐업
13 
전출
8 
등록취소
 
1

Length

Max length4
Median length3
Mean length2.6551724
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 36
62.1%
폐업 13
 
22.4%
전출 8
 
13.8%
등록취소 1
 
1.7%

Length

2024-05-11T14:29:46.163002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:46.316194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 36
62.1%
폐업 13
 
22.4%
전출 8
 
13.8%
등록취소 1
 
1.7%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)90.5%
Missing37
Missing (%)63.8%
Memory size596.0 B
Minimum2016-06-30 00:00:00
Maximum2024-04-26 00:00:00
2024-05-11T14:29:46.434111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:29:46.550273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing49
Missing (%)84.5%
Memory size596.0 B
2024-05-11T14:29:46.718322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.111111
Min length8

Characters and Unicode

Total characters100
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

Unique9 ?
Unique (%)100.0%

Sample

1st row540-3733
2nd row070-4239-8777
3rd row02-598-1970
4th row070-8271-3632
5th row02-3280-0732
ValueCountFrequency (%)
540-3733 1
11.1%
070-4239-8777 1
11.1%
02-598-1970 1
11.1%
070-8271-3632 1
11.1%
02-3280-0732 1
11.1%
02-733-8006 1
11.1%
07075252000 1
11.1%
070-7621-1722 1
11.1%
812-1762 1
11.1%
2024-05-11T14:29:47.035459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20
20.0%
7 16
16.0%
2 15
15.0%
- 14
14.0%
3 10
10.0%
8 6
 
6.0%
1 6
 
6.0%
5 4
 
4.0%
6 4
 
4.0%
9 3
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 86
86.0%
Dash Punctuation 14
 
14.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
23.3%
7 16
18.6%
2 15
17.4%
3 10
11.6%
8 6
 
7.0%
1 6
 
7.0%
5 4
 
4.7%
6 4
 
4.7%
9 3
 
3.5%
4 2
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20
20.0%
7 16
16.0%
2 15
15.0%
- 14
14.0%
3 10
10.0%
8 6
 
6.0%
1 6
 
6.0%
5 4
 
4.0%
6 4
 
4.0%
9 3
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20
20.0%
7 16
16.0%
2 15
15.0%
- 14
14.0%
3 10
10.0%
8 6
 
6.0%
1 6
 
6.0%
5 4
 
4.0%
6 4
 
4.0%
9 3
 
3.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

지번주소
Text

MISSING 

Distinct48
Distinct (%)85.7%
Missing2
Missing (%)3.4%
Memory size596.0 B
2024-05-11T14:29:47.225373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length23.839286
Min length18

Characters and Unicode

Total characters1335
Distinct characters84
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

Unique41 ?
Unique (%)73.2%

Sample

1st row서울특별시 동작구 상도동 ***번지 ***동 ****호
2nd row서울특별시 동작구 상도동 ***번지 ***호
3rd row서울특별시 동작구 상도*동 ***-*번지
4th row서울특별시 동작구 흑석동 **-**번지
5th row서울특별시 동작구 사당동 *** ***호
ValueCountFrequency (%)
서울특별시 56
22.2%
동작구 56
22.2%
32
12.7%
사당동 23
9.1%
번지 22
 
8.7%
상도동 13
 
5.2%
호 6
 
2.4%
노량진동 6
 
2.4%
대방동 4
 
1.6%
흑석동 3
 
1.2%
Other values (26) 31
12.3%
2024-05-11T14:29:47.586200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 281
21.0%
226
16.9%
동 116
 
8.7%
시 58
 
4.3%
서 57
 
4.3%
작 57
 
4.3%
특 56
 
4.2%
별 56
 
4.2%
구 56
 
4.2%
울 56
 
4.2%
Other values (74) 316
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 770
57.7%
Other Punctuation 281
 
21.0%
Space Separator 226
 
16.9%
Dash Punctuation 43
 
3.2%
Decimal Number 9
 
0.7%
Uppercase Letter 4
 
0.3%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 116
15.1%
시 58
 
7.5%
서 57
 
7.4%
작 57
 
7.4%
특 56
 
7.3%
별 56
 
7.3%
구 56
 
7.3%
울 56
 
7.3%
당 25
 
3.2%
사 25
 
3.2%
Other values (60) 208
27.0%
Decimal Number
ValueCountFrequency (%)
7 3
33.3%
6 2
22.2%
5 2
22.2%
1 1
 
11.1%
2 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
D 1
25.0%
G 1
25.0%
A 1
25.0%
I 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 281
100.0%
Space Separator
ValueCountFrequency (%)
226
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 770
57.7%
Common 561
42.0%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 116
15.1%
시 58
 
7.5%
서 57
 
7.4%
작 57
 
7.4%
특 56
 
7.3%
별 56
 
7.3%
구 56
 
7.3%
울 56
 
7.3%
당 25
 
3.2%
사 25
 
3.2%
Other values (60) 208
27.0%
Common
ValueCountFrequency (%)
* 281
50.1%
226
40.3%
- 43
 
7.7%
7 3
 
0.5%
6 2
 
0.4%
5 2
 
0.4%
( 1
 
0.2%
) 1
 
0.2%
1 1
 
0.2%
2 1
 
0.2%
Latin
ValueCountFrequency (%)
D 1
25.0%
G 1
25.0%
A 1
25.0%
I 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 770
57.7%
ASCII 565
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 281
49.7%
226
40.0%
- 43
 
7.6%
7 3
 
0.5%
6 2
 
0.4%
5 2
 
0.4%
( 1
 
0.2%
) 1
 
0.2%
1 1
 
0.2%
D 1
 
0.2%
Other values (4) 4
 
0.7%
Hangul
ValueCountFrequency (%)
동 116
15.1%
시 58
 
7.5%
서 57
 
7.4%
작 57
 
7.4%
특 56
 
7.3%
별 56
 
7.3%
구 56
 
7.3%
울 56
 
7.3%
당 25
 
3.2%
사 25
 
3.2%
Other values (60) 208
27.0%

도로명주소
Text

Distinct55
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-11T14:29:47.860611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41
Mean length33.362069
Min length23

Characters and Unicode

Total characters1935
Distinct characters121
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

Unique52 ?
Unique (%)89.7%

Sample

1st row서울특별시 동작구 상도로**길 **, ***동 ****호 (상도동)
2nd row서울특별시 동작구 양녕로**길 **, ***호 (상도동)
3rd row서울특별시 동작구 상도로**길 ** (상도*동)
4th row서울특별시 동작구 현충로 ***-* (흑석동)
5th row서울특별시 동작구 동작대로**길 ***, ***호 (사당동, 우성*단지상가)
ValueCountFrequency (%)
서울특별시 58
15.6%
동작구 58
15.6%
56
15.1%
사당동 23
 
6.2%
호 20
 
5.4%
층 14
 
3.8%
상도동 14
 
3.8%
지하*층 7
 
1.9%
동작대로**길 7
 
1.9%
동 6
 
1.6%
Other values (75) 109
29.3%
2024-05-11T14:29:48.315479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
314
16.2%
* 309
16.0%
동 139
 
7.2%
작 69
 
3.6%
, 65
 
3.4%
서 60
 
3.1%
시 60
 
3.1%
( 59
 
3.0%
) 59
 
3.0%
특 58
 
3.0%
Other values (111) 743
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1107
57.2%
Other Punctuation 374
 
19.3%
Space Separator 314
 
16.2%
Open Punctuation 59
 
3.0%
Close Punctuation 59
 
3.0%
Decimal Number 10
 
0.5%
Dash Punctuation 6
 
0.3%
Uppercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 139
 
12.6%
작 69
 
6.2%
서 60
 
5.4%
시 60
 
5.4%
특 58
 
5.2%
별 58
 
5.2%
구 58
 
5.2%
울 58
 
5.2%
로 50
 
4.5%
사 45
 
4.1%
Other values (95) 452
40.8%
Decimal Number
ValueCountFrequency (%)
1 4
40.0%
2 3
30.0%
6 1
 
10.0%
7 1
 
10.0%
3 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
G 1
16.7%
D 1
16.7%
A 1
16.7%
I 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 309
82.6%
, 65
 
17.4%
Space Separator
ValueCountFrequency (%)
314
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1107
57.2%
Common 822
42.5%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 139
 
12.6%
작 69
 
6.2%
서 60
 
5.4%
시 60
 
5.4%
특 58
 
5.2%
별 58
 
5.2%
구 58
 
5.2%
울 58
 
5.2%
로 50
 
4.5%
사 45
 
4.1%
Other values (95) 452
40.8%
Common
ValueCountFrequency (%)
314
38.2%
* 309
37.6%
, 65
 
7.9%
( 59
 
7.2%
) 59
 
7.2%
- 6
 
0.7%
1 4
 
0.5%
2 3
 
0.4%
6 1
 
0.1%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
B 2
33.3%
G 1
16.7%
D 1
16.7%
A 1
16.7%
I 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1107
57.2%
ASCII 828
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
314
37.9%
* 309
37.3%
, 65
 
7.9%
( 59
 
7.1%
) 59
 
7.1%
- 6
 
0.7%
1 4
 
0.5%
2 3
 
0.4%
B 2
 
0.2%
6 1
 
0.1%
Other values (6) 6
 
0.7%
Hangul
ValueCountFrequency (%)
동 139
 
12.6%
작 69
 
6.2%
서 60
 
5.4%
시 60
 
5.4%
특 58
 
5.2%
별 58
 
5.2%
구 58
 
5.2%
울 58
 
5.2%
로 50
 
4.5%
사 45
 
4.1%
Other values (95) 452
40.8%

도로명우편번호
Real number (ℝ)

Distinct40
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6999.6552
Minimum6915
Maximum7068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T14:29:48.449421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6915
5-th percentile6924.55
Q16970.25
median7012
Q37026.5
95-th percentile7056.75
Maximum7068
Range153
Interquartile range (IQR)56.25

Descriptive statistics

Standard deviation41.880595
Coefficient of variation (CV)0.0059832369
Kurtosis-0.78018362
Mean6999.6552
Median Absolute Deviation (MAD)28
Skewness-0.48934433
Sum405980
Variance1753.9843
MonotonicityNot monotonic
2024-05-11T14:29:48.588361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7040 5
 
8.6%
7025 3
 
5.2%
7015 3
 
5.2%
7042 3
 
5.2%
7014 3
 
5.2%
7013 2
 
3.4%
7020 2
 
3.4%
6989 2
 
3.4%
7010 2
 
3.4%
6945 2
 
3.4%
Other values (30) 31
53.4%
ValueCountFrequency (%)
6915 1
1.7%
6919 1
1.7%
6922 1
1.7%
6925 1
1.7%
6929 1
1.7%
6934 1
1.7%
6935 1
1.7%
6937 1
1.7%
6945 2
3.4%
6946 1
1.7%
ValueCountFrequency (%)
7068 1
 
1.7%
7064 1
 
1.7%
7061 1
 
1.7%
7056 1
 
1.7%
7052 1
 
1.7%
7049 1
 
1.7%
7042 3
5.2%
7040 5
8.6%
7027 1
 
1.7%
7025 3
5.2%

사업장명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
2024-05-11T14:29:48.829301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length17
Mean length11.017241
Min length4

Characters and Unicode

Total characters639
Distinct characters150
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row카세트레코즈(Cassette Recordz)
2nd row월드사운드 엔터테인먼트
3rd row제프 Ent
4th row(주)울랄라컴퍼니
5th rowESMMUSIC
ValueCountFrequency (%)
주식회사 18
 
18.9%
엔터테인먼트 4
 
4.2%
컴퍼니 4
 
4.2%
카세트레코즈(cassette 1
 
1.1%
빅프레임 1
 
1.1%
오공이 1
 
1.1%
이티앤엔터테인먼트 1
 
1.1%
케이팝라이브엔터테인먼트 1
 
1.1%
쇼비스타 1
 
1.1%
주)리들리 1
 
1.1%
Other values (62) 62
65.3%
2024-05-11T14:29:49.222416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
5.8%
주 32
 
5.0%
트 27
 
4.2%
엔 26
 
4.1%
이 23
 
3.6%
터 22
 
3.4%
먼 22
 
3.4%
테 21
 
3.3%
인 21
 
3.3%
사 19
 
3.0%
Other values (140) 389
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 471
73.7%
Lowercase Letter 55
 
8.6%
Space Separator 37
 
5.8%
Uppercase Letter 36
 
5.6%
Open Punctuation 19
 
3.0%
Close Punctuation 19
 
3.0%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 32
 
6.8%
트 27
 
5.7%
엔 26
 
5.5%
이 23
 
4.9%
터 22
 
4.7%
먼 22
 
4.7%
테 21
 
4.5%
인 21
 
4.5%
사 19
 
4.0%
식 19
 
4.0%
Other values (102) 239
50.7%
Lowercase Letter
ValueCountFrequency (%)
e 9
16.4%
n 8
14.5%
t 7
12.7%
m 4
7.3%
a 4
7.3%
s 3
 
5.5%
r 3
 
5.5%
o 3
 
5.5%
c 3
 
5.5%
d 2
 
3.6%
Other values (8) 9
16.4%
Uppercase Letter
ValueCountFrequency (%)
M 7
19.4%
E 5
13.9%
A 3
8.3%
S 3
8.3%
C 3
8.3%
R 3
8.3%
L 2
 
5.6%
I 2
 
5.6%
O 2
 
5.6%
G 1
 
2.8%
Other values (5) 5
13.9%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 471
73.7%
Latin 91
 
14.2%
Common 77
 
12.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 32
 
6.8%
트 27
 
5.7%
엔 26
 
5.5%
이 23
 
4.9%
터 22
 
4.7%
먼 22
 
4.7%
테 21
 
4.5%
인 21
 
4.5%
사 19
 
4.0%
식 19
 
4.0%
Other values (102) 239
50.7%
Latin
ValueCountFrequency (%)
e 9
 
9.9%
n 8
 
8.8%
t 7
 
7.7%
M 7
 
7.7%
E 5
 
5.5%
m 4
 
4.4%
a 4
 
4.4%
A 3
 
3.3%
S 3
 
3.3%
C 3
 
3.3%
Other values (23) 38
41.8%
Common
ValueCountFrequency (%)
37
48.1%
( 19
24.7%
) 19
24.7%
. 1
 
1.3%
, 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 471
73.7%
ASCII 168
 
26.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
22.0%
( 19
 
11.3%
) 19
 
11.3%
e 9
 
5.4%
n 8
 
4.8%
t 7
 
4.2%
M 7
 
4.2%
E 5
 
3.0%
m 4
 
2.4%
a 4
 
2.4%
Other values (28) 49
29.2%
Hangul
ValueCountFrequency (%)
주 32
 
6.8%
트 27
 
5.7%
엔 26
 
5.5%
이 23
 
4.9%
터 22
 
4.7%
먼 22
 
4.7%
테 21
 
4.5%
인 21
 
4.5%
사 19
 
4.0%
식 19
 
4.0%
Other values (102) 239
50.7%

최종수정일자
Date

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2015-05-22 18:47:16
Maximum2024-04-26 09:34:46
2024-05-11T14:29:49.411218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:29:49.839990image/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 size596.0 B
I
37 
U
21 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 37
63.8%
U 21
36.2%

Length

2024-05-11T14:29:50.024002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:50.194454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 37
63.8%
u 21
36.2%

데이터갱신일자
Date

Distinct38
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Memory size596.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:08:00
2024-05-11T14:29:50.316278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:29:50.466792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

좌표정보(X)
Real number (ℝ)

Distinct52
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195992.25
Minimum191946.14
Maximum198239.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T14:29:50.616753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191946.14
5-th percentile193207.64
Q1194343.54
median196055.89
Q3197665.59
95-th percentile198219.52
Maximum198239.71
Range6293.5789
Interquartile range (IQR)3322.0563

Descriptive statistics

Standard deviation1874.7363
Coefficient of variation (CV)0.0095653589
Kurtosis-1.1577715
Mean195992.25
Median Absolute Deviation (MAD)1687.0873
Skewness-0.35828351
Sum11367551
Variance3514636.1
MonotonicityNot monotonic
2024-05-11T14:29:50.781937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193852.079809202 3
 
5.2%
198212.63825788 2
 
3.4%
196942.052512649 2
 
3.4%
197289.806805408 2
 
3.4%
196055.894981432 2
 
3.4%
195895.211241688 1
 
1.7%
198148.493247408 1
 
1.7%
192170.155815215 1
 
1.7%
198239.714211935 1
 
1.7%
194419.347264816 1
 
1.7%
Other values (42) 42
72.4%
ValueCountFrequency (%)
191946.135275517 1
 
1.7%
192170.155815215 1
 
1.7%
193159.419832297 1
 
1.7%
193216.149350977 1
 
1.7%
193275.178215439 1
 
1.7%
193325.048694537 1
 
1.7%
193492.703065773 1
 
1.7%
193556.22254697 1
 
1.7%
193789.681720971 1
 
1.7%
193852.079809202 3
5.2%
ValueCountFrequency (%)
198239.714211935 1
1.7%
198234.383929451 1
1.7%
198232.242234142 1
1.7%
198217.275056369 1
1.7%
198212.63825788 2
3.4%
198202.41276381 1
1.7%
198178.371022907 1
1.7%
198161.292479758 1
1.7%
198148.493247408 1
1.7%
198136.369734591 1
1.7%

좌표정보(Y)
Real number (ℝ)

Distinct52
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443502.89
Minimum441595.66
Maximum445623.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T14:29:50.947339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441595.66
5-th percentile441739.41
Q1442386.61
median443622.45
Q3444536.53
95-th percentile445272.74
Maximum445623.08
Range4027.4197
Interquartile range (IQR)2149.919

Descriptive statistics

Standard deviation1195.1757
Coefficient of variation (CV)0.0026948544
Kurtosis-1.1993364
Mean443502.89
Median Absolute Deviation (MAD)1108.9435
Skewness-0.010798898
Sum25723168
Variance1428445
MonotonicityNot monotonic
2024-05-11T14:29:51.145196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
444068.242832947 3
 
5.2%
441694.12764417 2
 
3.4%
444972.969740307 2
 
3.4%
441864.405844378 2
 
3.4%
443410.864186751 2
 
3.4%
444436.192760248 1
 
1.7%
442439.399286906 1
 
1.7%
443599.41901313 1
 
1.7%
441823.115522098 1
 
1.7%
445563.378693509 1
 
1.7%
Other values (42) 42
72.4%
ValueCountFrequency (%)
441595.660481209 1
1.7%
441694.12764417 2
3.4%
441747.404744887 1
1.7%
441823.115522098 1
1.7%
441864.405844378 2
3.4%
441905.177911518 1
1.7%
441969.679897372 1
1.7%
442123.305986878 1
1.7%
442125.801988185 1
1.7%
442185.69520758 1
1.7%
ValueCountFrequency (%)
445623.080168564 1
1.7%
445612.388110081 1
1.7%
445563.378693509 1
1.7%
445221.454244681 1
1.7%
445119.309371375 1
1.7%
444972.969740307 2
3.4%
444964.545021678 1
1.7%
444880.903466886 1
1.7%
444843.770796824 1
1.7%
444821.529528916 1
1.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
대중문화예술기획업
36 
<NA>
22 

Length

Max length9
Median length9
Mean length7.1034483
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 36
62.1%
<NA> 22
37.9%

Length

2024-05-11T14:29:51.342144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:51.497843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 36
62.1%
na 22
37.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
유통관련업
36 
<NA>
22 

Length

Max length5
Median length5
Mean length4.6206897
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 36
62.1%
<NA> 22
37.9%

Length

2024-05-11T14:29:51.671703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:51.787772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 36
62.1%
na 22
37.9%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
54 
0
 
4

Length

Max length4
Median length4
Mean length3.7931034
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> 54
93.1%
0 4
 
6.9%

Length

2024-05-11T14:29:51.896603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:52.009973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
93.1%
0 4
 
6.9%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

제작취급품목내용
Text

MISSING 

Distinct31
Distinct (%)86.1%
Missing22
Missing (%)37.9%
Memory size596.0 B
2024-05-11T14:29:52.220883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length18
Mean length11.25
Min length4

Characters and Unicode

Total characters405
Distinct characters74
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)77.8%

Sample

1st row작곡,엔터테인먼트,공연기획
2nd row연예대행업
3rd row녹음업,매니지먼트,음반제작기획,
4th row연예매니지먼트
5th row작곡,편곡,악기엔터테인먼트 등
ValueCountFrequency (%)
엔터테인먼트 7
 
10.9%
등 6
 
9.4%
매니지먼트 5
 
7.8%
매니저업 4
 
6.2%
연예매니지먼트 4
 
6.2%
및 3
 
4.7%
공연기획 2
 
3.1%
음반제작 2
 
3.1%
연예 1
 
1.6%
대행업 1
 
1.6%
Other values (29) 29
45.3%
2024-05-11T14:29:52.677689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 29
 
7.2%
, 29
 
7.2%
28
 
6.9%
먼 27
 
6.7%
매 20
 
4.9%
니 20
 
4.9%
연 18
 
4.4%
지 16
 
4.0%
인 13
 
3.2%
업 12
 
3.0%
Other values (64) 193
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
85.4%
Other Punctuation 31
 
7.7%
Space Separator 28
 
6.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 29
 
8.4%
먼 27
 
7.8%
매 20
 
5.8%
니 20
 
5.8%
연 18
 
5.2%
지 16
 
4.6%
인 13
 
3.8%
업 12
 
3.5%
기 12
 
3.5%
엔 11
 
3.2%
Other values (61) 168
48.6%
Other Punctuation
ValueCountFrequency (%)
, 29
93.5%
? 2
 
6.5%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
85.4%
Common 59
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 29
 
8.4%
먼 27
 
7.8%
매 20
 
5.8%
니 20
 
5.8%
연 18
 
5.2%
지 16
 
4.6%
인 13
 
3.8%
업 12
 
3.5%
기 12
 
3.5%
엔 11
 
3.2%
Other values (61) 168
48.6%
Common
ValueCountFrequency (%)
, 29
49.2%
28
47.5%
? 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
85.4%
ASCII 59
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 29
 
8.4%
먼 27
 
7.8%
매 20
 
5.8%
니 20
 
5.8%
연 18
 
5.2%
지 16
 
4.6%
인 13
 
3.8%
업 12
 
3.5%
기 12
 
3.5%
엔 11
 
3.2%
Other values (61) 168
48.6%
ASCII
ValueCountFrequency (%)
, 29
49.2%
28
47.5%
? 2
 
3.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)72.7%
Missing47
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean85.130909
Minimum0
Maximum290
Zeros4
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size654.0 B
2024-05-11T14:29:52.863375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median79.8
Q3120.195
95-th percentile224.58
Maximum290
Range290
Interquartile range (IQR)120.195

Descriptive statistics

Standard deviation89.578797
Coefficient of variation (CV)1.0522476
Kurtosis1.5600953
Mean85.130909
Median Absolute Deviation (MAD)79.36
Skewness1.1405596
Sum936.44
Variance8024.3609
MonotonicityNot monotonic
2024-05-11T14:29:52.982089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 4
 
6.9%
68.09 1
 
1.7%
99.0 1
 
1.7%
99.79 1
 
1.7%
79.8 1
 
1.7%
159.16 1
 
1.7%
140.6 1
 
1.7%
290.0 1
 
1.7%
(Missing) 47
81.0%
ValueCountFrequency (%)
0.0 4
6.9%
68.09 1
 
1.7%
79.8 1
 
1.7%
99.0 1
 
1.7%
99.79 1
 
1.7%
140.6 1
 
1.7%
159.16 1
 
1.7%
290.0 1
 
1.7%
ValueCountFrequency (%)
290.0 1
 
1.7%
159.16 1
 
1.7%
140.6 1
 
1.7%
99.79 1
 
1.7%
99.0 1
 
1.7%
79.8 1
 
1.7%
68.09 1
 
1.7%
0.0 4
6.9%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
54 
0
 
4

Length

Max length4
Median length4
Mean length3.7931034
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> 54
93.1%
0 4
 
6.9%

Length

2024-05-11T14:29:53.148535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:53.288939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
93.1%
0 4
 
6.9%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
54 
0
 
4

Length

Max length4
Median length4
Mean length3.7931034
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> 54
93.1%
0 4
 
6.9%

Length

2024-05-11T14:29:53.451317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:53.588942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
93.1%
0 4
 
6.9%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
54 
0
 
4

Length

Max length4
Median length4
Mean length3.7931034
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> 54
93.1%
0 4
 
6.9%

Length

2024-05-11T14:29:53.731929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:53.860120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
93.1%
0 4
 
6.9%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
54 
0
 
4

Length

Max length4
Median length4
Mean length3.7931034
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> 54
93.1%
0 4
 
6.9%

Length

2024-05-11T14:29:53.984780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:54.097957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
93.1%
0 4
 
6.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
54 
0
 
4

Length

Max length4
Median length4
Mean length3.7931034
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> 54
93.1%
0 4
 
6.9%

Length

2024-05-11T14:29:54.225189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:54.361392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
93.1%
0 4
 
6.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
54 
0
 
4

Length

Max length4
Median length4
Mean length3.7931034
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> 54
93.1%
0 4
 
6.9%

Length

2024-05-11T14:29:54.507957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:54.670712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
93.1%
0 4
 
6.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
54 
0
 
4

Length

Max length4
Median length4
Mean length3.7931034
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> 54
93.1%
0 4
 
6.9%

Length

2024-05-11T14:29:54.847414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:29:54.981984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
93.1%
0 4
 
6.9%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing58
Missing (%)100.0%
Memory size654.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03190000CDFF324109201500000120150522<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***번지 ***동 ****호서울특별시 동작구 상도로**길 **, ***동 ****호 (상도동)6977카세트레코즈(Cassette Recordz)2015-05-22 18:47:16I2018-08-31 23:59:59.0<NA>195895.211242444436.19276대중문화예술기획업유통관련업<NA><NA>작곡,엔터테인먼트,공연기획68.09<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13190000CDFF324109201500000220150522<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***번지 ***호서울특별시 동작구 양녕로**길 **, ***호 (상도동)7049월드사운드 엔터테인먼트2015-05-22 18:50:29I2018-08-31 23:59:59.0<NA>194628.391614443784.251913대중문화예술기획업유통관련업<NA><NA>연예대행업99.0<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>
23190000CDFF324109201500000320150522<NA>3폐업3폐업20191101<NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도*동 ***-*번지서울특별시 동작구 상도로**길 ** (상도*동)6965제프 Ent2019-11-01 15:33:47U2019-11-03 02:40:00.0<NA>195194.586326444551.815632대중문화예술기획업유통관련업<NA><NA>녹음업,매니지먼트,음반제작기획,99.79<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33190000CDFF324109201500000420150330<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 흑석동 **-**번지서울특별시 동작구 현충로 ***-* (흑석동)6979(주)울랄라컴퍼니2015-05-29 15:24:29I2018-08-31 23:59:59.0<NA>196942.052513444972.96974대중문화예술기획업유통관련업<NA><NA>연예매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43190000CDFF324109201500000520150612<NA>3폐업3폐업20201030<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 *** ***호서울특별시 동작구 동작대로**길 ***, ***호 (사당동, 우성*단지상가)6990ESMMUSIC2020-10-30 18:21:44U2020-11-01 02:40:00.0<NA>197802.054854443049.471475대중문화예술기획업유통관련업<NA><NA>작곡,편곡,악기엔터테인먼트 등79.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53190000CDFF324109201500000620150612<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 흑석동 **-**번지서울특별시 동작구 현충로 ***-*, *층 (흑석동)6979(주)마코어뮤즈먼트(MAKO Amusement, Inc.)2015-06-12 14:08:57I2018-08-31 23:59:59.0<NA>196942.052513444972.96974대중문화예술기획업유통관련업<NA><NA>엔터테인먼트 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>
63190000CDFF324109201500000820150703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 ***-**번지서울특별시 동작구 여의대방로**길 **, 지하*층 (대방동)6946(주)더퍼슨스엔터테인먼트2015-07-03 17:13:04I2018-08-31 23:59:59.0<NA>193275.178215444821.529529대중문화예술기획업유통관련업<NA><NA>연예매니지먼트 등159.16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73190000CDFF324109201500000920150707<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 ***-**번지서울특별시 동작구 대방동**길 **, 지층 (대방동)6945이즈뮤직2015-12-03 15:00:56I2018-08-31 23:59:59.0<NA>193216.149351444591.66153대중문화예술기획업유통관련업<NA><NA>매니지먼트 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>
83190000CDFF324109201500001120150730<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도로 ***, *층 (상도동)7040에스에이치 엔터테인먼트2015-07-30 20:39:23I2018-08-31 23:59:59.0<NA>195740.332385443867.593862대중문화예술기획업유통관련업<NA><NA>음반기획,제작,공연기획,매니지먼트140.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93190000CDFF324109201500001420150811<NA>3폐업3폐업20180905<NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-*번지 지하서울특별시 동작구 상도로 *** (상도동, 지하)7040디퍼레코드2018-09-05 13:12:30U2018-09-05 23:59:59.0<NA>195998.350312443497.618009대중문화예술기획업유통관련업<NA><NA>대중음악 음반 및 음원기획<NA><NA><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
483190000CDFF32410920220000012020-11-03<NA>5제외/삭제/전출15전출2024-01-31<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 **** 사당휴먼시아아파트서울특별시 동작구 사당로**길 **, ***동 ***호 (사당동, 사당휴먼시아아파트)7020HGMC2024-01-31 13:42:28U2023-12-02 00:02:00.0<NA>197289.806805441864.405844<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493190000CDFF324109202200000220201014<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 *** 상도동래미안(*차)아파트서울특별시 동작구 등용로 **, 상가동 지*층 비**호 (상도동, 상도동래미안(*차)아파트)6937(주)가치산책컴퍼니2022-11-07 16:43:56I2021-11-01 00:09:00.0<NA>194219.201793444880.903467<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503190000CDFF324109202200000320200122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-** 링크식스빌딩서울특별시 동작구 상도로 ***, 링크식스빌딩 (상도동)7040(주)링크식스2022-11-15 11:25:22I2021-10-31 23:07:00.0<NA>196055.894981443410.864187<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513190000CDFF32410920220000042022-11-28<NA>5제외/삭제/전출15전출2023-11-20<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 ****-** ***호서울특별시 동작구 동작대로*길 **, ***호 (사당동)7015지네이션이엔엠2023-11-20 14:47:35U2022-10-31 22:02:00.0<NA>198178.371023441905.177912<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523190000CDFF324109202200000520221223<NA>1영업/정상13영업중<NA><NA><NA><NA>812-1762<NA><NA>서울특별시 동작구 상도1동 677서울특별시 동작구 양녕로 271, 3층 (상도1동)6919주식회사 스페셜아트2022-12-23 17:14:05I2021-11-01 22:05:00.0<NA>195412.661083444657.286377<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533190000CDFF324109202300000120220221<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-*서울특별시 동작구 국사봉*길 **, 지하*층 *호 (상도동)7042피아이엔티2023-01-15 13:59:32U2022-11-30 23:07:00.0<NA>193852.079809444068.242833<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543190000CDFF32410920230000022022-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 ***-**서울특별시 동작구 보라매로 **, B**호 (신대방동)7061주식회사 엘에이치에스 엔터2023-05-19 14:38:14I2022-12-04 22:01:00.0<NA>193492.703066443669.16623<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553190000CDFF32410920230000032023-07-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 ****-** 법화빌딩서울특별시 동작구 동작대로**길 **, 법화빌딩 (사당동)7014유에이앤 컴퍼니2023-07-05 16:44:54I2022-12-07 00:07:00.0<NA>198217.275056442185.695208<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563190000CDFF32410920230000052020-03-26<NA>3폐업3폐업2024-01-26<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 ****-**서울특별시 동작구 사당로**길 ***, *층 (사당동)7025케이 엔터테인먼트2024-01-26 17:01:40U2023-11-30 22:08:00.0<NA>198212.638258441694.127644<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573190000CDFF32410920230000062023-09-13<NA>3폐업3폐업2024-01-26<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 ****-**서울특별시 동작구 사당로**길 ***, *층 (사당동)7025케이탑엔터테인먼트2024-01-26 17:38:56U2023-11-30 22:08:00.0<NA>198212.638258441694.127644<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>