Overview

Dataset statistics

Number of variables56
Number of observations547
Missing cells14629
Missing cells (%)47.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory260.8 KiB
Average record size in memory488.2 B

Variable types

Categorical18
Text7
DateTime4
Unsupported24
Numeric3

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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17213/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (59.4%)Imbalance
영업상태명 is highly imbalanced (59.4%)Imbalance
상세영업상태코드 is highly imbalanced (59.4%)Imbalance
상세영업상태명 is highly imbalanced (59.4%)Imbalance
휴업시작일자 is highly imbalanced (96.7%)Imbalance
휴업종료일자 is highly imbalanced (96.7%)Imbalance
총층수 is highly imbalanced (65.7%)Imbalance
지상층수 is highly imbalanced (65.7%)Imbalance
지하층수 is highly imbalanced (65.7%)Imbalance
통로너비 is highly imbalanced (66.4%)Imbalance
조명시설조도 is highly imbalanced (66.4%)Imbalance
노래방실수 is highly imbalanced (66.4%)Imbalance
청소년실수 is highly imbalanced (66.4%)Imbalance
총게임기수 is highly imbalanced (66.4%)Imbalance
인허가취소일자 has 547 (100.0%) missing valuesMissing
폐업일자 has 447 (81.7%) missing valuesMissing
재개업일자 has 547 (100.0%) missing valuesMissing
전화번호 has 405 (74.0%) missing valuesMissing
소재지면적 has 547 (100.0%) missing valuesMissing
소재지우편번호 has 547 (100.0%) missing valuesMissing
업태구분명 has 547 (100.0%) missing valuesMissing
주변환경명 has 547 (100.0%) missing valuesMissing
제작취급품목내용 has 212 (38.8%) missing valuesMissing
시설면적 has 434 (79.3%) missing valuesMissing
건물용도명 has 547 (100.0%) missing valuesMissing
비상계단여부 has 547 (100.0%) missing valuesMissing
비상구여부 has 547 (100.0%) missing valuesMissing
자동환기여부 has 547 (100.0%) missing valuesMissing
청소년실여부 has 547 (100.0%) missing valuesMissing
특수조명여부 has 547 (100.0%) missing valuesMissing
방음시설여부 has 547 (100.0%) missing valuesMissing
비디오재생기명 has 547 (100.0%) missing valuesMissing
조명시설유무 has 547 (100.0%) missing valuesMissing
음향시설여부 has 547 (100.0%) missing valuesMissing
편의시설여부 has 547 (100.0%) missing valuesMissing
소방시설여부 has 547 (100.0%) missing valuesMissing
기존게임업외업종명 has 547 (100.0%) missing valuesMissing
제공게임물명 has 547 (100.0%) missing valuesMissing
공연장형태구분명 has 547 (100.0%) missing valuesMissing
품목명 has 547 (100.0%) missing valuesMissing
최초등록시점 has 547 (100.0%) missing valuesMissing
지역구분명 has 547 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 34 (6.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:43:24.133810
Analysis finished2024-05-11 06:43:25.391862
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
3210000
547 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 547
100.0%

Length

2024-05-11T15:43:25.474099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:25.589110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 547
100.0%

관리번호
Text

UNIQUE 

Distinct547
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-05-11T15:43:25.803117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters10940
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

Unique547 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000002
3rd rowCDFF3241092015000004
4th rowCDFF3241092015000005
5th rowCDFF3241092015000006
ValueCountFrequency (%)
cdff3241092015000001 1
 
0.2%
cdff3241092022000018 1
 
0.2%
cdff3241092021000043 1
 
0.2%
cdff3241092021000042 1
 
0.2%
cdff3241092021000041 1
 
0.2%
cdff3241092021000040 1
 
0.2%
cdff3241092021000039 1
 
0.2%
cdff3241092021000038 1
 
0.2%
cdff3241092021000037 1
 
0.2%
cdff3241092019000062 1
 
0.2%
Other values (537) 537
98.2%
2024-05-11T15:43:26.274602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3411
31.2%
2 1563
14.3%
F 1094
 
10.0%
1 1079
 
9.9%
3 755
 
6.9%
4 703
 
6.4%
9 648
 
5.9%
C 547
 
5.0%
D 547
 
5.0%
5 236
 
2.2%
Other values (3) 357
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8752
80.0%
Uppercase Letter 2188
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3411
39.0%
2 1563
17.9%
1 1079
 
12.3%
3 755
 
8.6%
4 703
 
8.0%
9 648
 
7.4%
5 236
 
2.7%
6 154
 
1.8%
7 104
 
1.2%
8 99
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 1094
50.0%
C 547
25.0%
D 547
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8752
80.0%
Latin 2188
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3411
39.0%
2 1563
17.9%
1 1079
 
12.3%
3 755
 
8.6%
4 703
 
8.0%
9 648
 
7.4%
5 236
 
2.7%
6 154
 
1.8%
7 104
 
1.2%
8 99
 
1.1%
Latin
ValueCountFrequency (%)
F 1094
50.0%
C 547
25.0%
D 547
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3411
31.2%
2 1563
14.3%
F 1094
 
10.0%
1 1079
 
9.9%
3 755
 
6.9%
4 703
 
6.4%
9 648
 
5.9%
C 547
 
5.0%
D 547
 
5.0%
5 236
 
2.2%
Other values (3) 357
 
3.3%

인허가일자
Date

Distinct401
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2014-12-04 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T15:43:26.463477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:26.628229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
1
442 
3
59 
5
 
41
2
 
4
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 442
80.8%
3 59
 
10.8%
5 41
 
7.5%
2 4
 
0.7%
4 1
 
0.2%

Length

2024-05-11T15:43:26.810220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:26.966113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 442
80.8%
3 59
 
10.8%
5 41
 
7.5%
2 4
 
0.7%
4 1
 
0.2%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
영업/정상
442 
폐업
59 
제외/삭제/전출
 
41
휴업
 
4
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.8957952
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 442
80.8%
폐업 59
 
10.8%
제외/삭제/전출 41
 
7.5%
휴업 4
 
0.7%
취소/말소/만료/정지/중지 1
 
0.2%

Length

2024-05-11T15:43:27.148526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:27.332324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 442
80.8%
폐업 59
 
10.8%
제외/삭제/전출 41
 
7.5%
휴업 4
 
0.7%
취소/말소/만료/정지/중지 1
 
0.2%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
13
442 
3
59 
15
 
41
2
 
4
35
 
1

Length

Max length2
Median length2
Mean length1.8848263
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 442
80.8%
3 59
 
10.8%
15 41
 
7.5%
2 4
 
0.7%
35 1
 
0.2%

Length

2024-05-11T15:43:27.505631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:27.650961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 442
80.8%
3 59
 
10.8%
15 41
 
7.5%
2 4
 
0.7%
35 1
 
0.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
영업중
442 
폐업
59 
전출
 
41
휴업
 
4
직권말소
 
1

Length

Max length4
Median length3
Mean length2.8117002
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 442
80.8%
폐업 59
 
10.8%
전출 41
 
7.5%
휴업 4
 
0.7%
직권말소 1
 
0.2%

Length

2024-05-11T15:43:27.808530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:27.941290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 442
80.8%
폐업 59
 
10.8%
전출 41
 
7.5%
휴업 4
 
0.7%
직권말소 1
 
0.2%

폐업일자
Date

MISSING 

Distinct96
Distinct (%)96.0%
Missing447
Missing (%)81.7%
Memory size4.4 KiB
Minimum2015-12-02 00:00:00
Maximum2024-05-09 00:00:00
2024-05-11T15:43:28.092204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:28.320427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
543 
20160408
 
1
20160830
 
1
20180913
 
1
20220207
 
1

Length

Max length8
Median length4
Mean length4.0292505
Min length4

Unique

Unique4 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 543
99.3%
20160408 1
 
0.2%
20160830 1
 
0.2%
20180913 1
 
0.2%
20220207 1
 
0.2%

Length

2024-05-11T15:43:28.578856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:28.744868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 543
99.3%
20160408 1
 
0.2%
20160830 1
 
0.2%
20180913 1
 
0.2%
20220207 1
 
0.2%

휴업종료일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
543 
20161231
 
1
20171231
 
1
20181231
 
1
20251231
 
1

Length

Max length8
Median length4
Mean length4.0292505
Min length4

Unique

Unique4 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 543
99.3%
20161231 1
 
0.2%
20171231 1
 
0.2%
20181231 1
 
0.2%
20251231 1
 
0.2%

Length

2024-05-11T15:43:28.882453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:29.035517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 543
99.3%
20161231 1
 
0.2%
20171231 1
 
0.2%
20181231 1
 
0.2%
20251231 1
 
0.2%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

전화번호
Text

MISSING 

Distinct137
Distinct (%)96.5%
Missing405
Missing (%)74.0%
Memory size4.4 KiB
2024-05-11T15:43:29.327736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.535211
Min length8

Characters and Unicode

Total characters1638
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)93.7%

Sample

1st row02-780-2188
2nd row02-6221-2022
3rd row070-4504-7006
4th row070-4102-4002
5th row02-3471-1002
ValueCountFrequency (%)
02-516-0358 3
 
2.1%
02-544-3479 2
 
1.4%
02-533-2727 2
 
1.4%
02-540-1616 2
 
1.4%
02-3471-8819 1
 
0.7%
02-2055-1829 1
 
0.7%
070-4204-2020 1
 
0.7%
02-3463-5679 1
 
0.7%
070-7740-5344 1
 
0.7%
0505-555-7737 1
 
0.7%
Other values (129) 129
89.6%
2024-05-11T15:43:29.791359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 278
17.0%
0 258
15.8%
2 234
14.3%
5 175
10.7%
7 132
8.1%
3 110
 
6.7%
1 108
 
6.6%
4 108
 
6.6%
8 87
 
5.3%
6 77
 
4.7%
Other values (2) 71
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1357
82.8%
Dash Punctuation 278
 
17.0%
Space Separator 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 258
19.0%
2 234
17.2%
5 175
12.9%
7 132
9.7%
3 110
8.1%
1 108
8.0%
4 108
8.0%
8 87
 
6.4%
6 77
 
5.7%
9 68
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1638
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 278
17.0%
0 258
15.8%
2 234
14.3%
5 175
10.7%
7 132
8.1%
3 110
 
6.7%
1 108
 
6.6%
4 108
 
6.6%
8 87
 
5.3%
6 77
 
4.7%
Other values (2) 71
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1638
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 278
17.0%
0 258
15.8%
2 234
14.3%
5 175
10.7%
7 132
8.1%
3 110
 
6.7%
1 108
 
6.6%
4 108
 
6.6%
8 87
 
5.3%
6 77
 
4.7%
Other values (2) 71
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

지번주소
Text

Distinct320
Distinct (%)58.8%
Missing3
Missing (%)0.5%
Memory size4.4 KiB
2024-05-11T15:43:30.188704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length24.711397
Min length17

Characters and Unicode

Total characters13443
Distinct characters268
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique252 ?
Unique (%)46.3%

Sample

1st row서울특별시 서초구 서초동 ****-*
2nd row서울특별시 서초구 서초동 ****-* **층 **호
3rd row서울특별시 서초구 방배동 ***-**번지
4th row서울특별시 서초구 잠원동 **-*번지 경승빌딩
5th row서울특별시 서초구 서초동 ****-**번지
ValueCountFrequency (%)
서울특별시 544
21.4%
서초구 544
21.4%
306
12.1%
번지 235
9.3%
서초동 193
 
7.6%
잠원동 104
 
4.1%
반포동 85
 
3.3%
양재동 83
 
3.3%
방배동 79
 
3.1%
호 17
 
0.7%
Other values (235) 349
13.7%
2024-05-11T15:43:31.031988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2460
18.3%
2312
17.2%
서 1305
 
9.7%
초 754
 
5.6%
동 552
 
4.1%
시 549
 
4.1%
구 545
 
4.1%
특 544
 
4.0%
별 544
 
4.0%
울 544
 
4.0%
Other values (258) 3334
24.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8068
60.0%
Other Punctuation 2460
 
18.3%
Space Separator 2312
 
17.2%
Dash Punctuation 516
 
3.8%
Uppercase Letter 53
 
0.4%
Decimal Number 19
 
0.1%
Open Punctuation 7
 
0.1%
Close Punctuation 7
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1305
16.2%
초 754
 
9.3%
동 552
 
6.8%
시 549
 
6.8%
구 545
 
6.8%
특 544
 
6.7%
별 544
 
6.7%
울 544
 
6.7%
지 257
 
3.2%
번 235
 
2.9%
Other values (224) 2239
27.8%
Uppercase Letter
ValueCountFrequency (%)
T 7
13.2%
J 5
 
9.4%
W 4
 
7.5%
O 4
 
7.5%
K 4
 
7.5%
B 4
 
7.5%
E 4
 
7.5%
C 3
 
5.7%
R 3
 
5.7%
I 2
 
3.8%
Other values (10) 13
24.5%
Decimal Number
ValueCountFrequency (%)
1 5
26.3%
8 3
15.8%
3 3
15.8%
4 2
 
10.5%
5 2
 
10.5%
6 2
 
10.5%
7 1
 
5.3%
2 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
* 2460
100.0%
Space Separator
ValueCountFrequency (%)
2312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 516
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8068
60.0%
Common 5321
39.6%
Latin 54
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1305
16.2%
초 754
 
9.3%
동 552
 
6.8%
시 549
 
6.8%
구 545
 
6.8%
특 544
 
6.7%
별 544
 
6.7%
울 544
 
6.7%
지 257
 
3.2%
번 235
 
2.9%
Other values (224) 2239
27.8%
Latin
ValueCountFrequency (%)
T 7
13.0%
J 5
 
9.3%
W 4
 
7.4%
O 4
 
7.4%
K 4
 
7.4%
B 4
 
7.4%
E 4
 
7.4%
C 3
 
5.6%
R 3
 
5.6%
I 2
 
3.7%
Other values (11) 14
25.9%
Common
ValueCountFrequency (%)
* 2460
46.2%
2312
43.5%
- 516
 
9.7%
( 7
 
0.1%
) 7
 
0.1%
1 5
 
0.1%
8 3
 
0.1%
3 3
 
0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
Other values (3) 4
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8068
60.0%
ASCII 5374
40.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2460
45.8%
2312
43.0%
- 516
 
9.6%
T 7
 
0.1%
( 7
 
0.1%
) 7
 
0.1%
1 5
 
0.1%
J 5
 
0.1%
W 4
 
0.1%
O 4
 
0.1%
Other values (23) 47
 
0.9%
Hangul
ValueCountFrequency (%)
서 1305
16.2%
초 754
 
9.3%
동 552
 
6.8%
시 549
 
6.8%
구 545
 
6.8%
특 544
 
6.7%
별 544
 
6.7%
울 544
 
6.7%
지 257
 
3.2%
번 235
 
2.9%
Other values (224) 2239
27.8%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명주소
Text

Distinct466
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-05-11T15:43:31.360322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length36.111517
Min length23

Characters and Unicode

Total characters19753
Distinct characters316
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique410 ?
Unique (%)75.0%

Sample

1st row서울특별시 서초구 서초중앙로 ***, B*층 (서초동, 서초동롯데캐슬메디치)
2nd row서울특별시 서초구 효령로 ***, **층 **호 (서초동)
3rd row서울특별시 서초구 방배로 **, *층 (방배동)
4th row서울특별시 서초구 강남대로 ***, *층 ***호 (잠원동, 경승빌딩)
5th row서울특별시 서초구 사임당로 ***, **층 (서초동)
ValueCountFrequency (%)
서울특별시 547
14.4%
547
14.4%
서초구 547
14.4%
층 238
 
6.3%
호 216
 
5.7%
서초동 194
 
5.1%
잠원동 104
 
2.7%
반포동 85
 
2.2%
양재동 83
 
2.2%
방배동 82
 
2.2%
Other values (423) 1154
30.4%
2024-05-11T15:43:31.914069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3250
16.5%
* 3228
16.3%
서 1412
 
7.1%
초 843
 
4.3%
, 638
 
3.2%
동 593
 
3.0%
시 554
 
2.8%
) 554
 
2.8%
( 554
 
2.8%
구 550
 
2.8%
Other values (306) 7577
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11239
56.9%
Other Punctuation 3868
 
19.6%
Space Separator 3250
 
16.5%
Close Punctuation 554
 
2.8%
Open Punctuation 554
 
2.8%
Dash Punctuation 130
 
0.7%
Uppercase Letter 104
 
0.5%
Decimal Number 36
 
0.2%
Lowercase Letter 17
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1412
 
12.6%
초 843
 
7.5%
동 593
 
5.3%
시 554
 
4.9%
구 550
 
4.9%
울 547
 
4.9%
특 547
 
4.9%
별 547
 
4.9%
로 524
 
4.7%
길 372
 
3.3%
Other values (255) 4750
42.3%
Uppercase Letter
ValueCountFrequency (%)
B 33
31.7%
T 9
 
8.7%
S 6
 
5.8%
J 6
 
5.8%
R 6
 
5.8%
A 5
 
4.8%
K 4
 
3.8%
O 4
 
3.8%
C 4
 
3.8%
W 4
 
3.8%
Other values (11) 23
22.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
11.8%
o 2
11.8%
w 2
11.8%
r 2
11.8%
i 2
11.8%
b 1
5.9%
d 1
5.9%
u 1
5.9%
l 1
5.9%
n 1
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
1 11
30.6%
0 7
19.4%
4 4
 
11.1%
3 4
 
11.1%
2 4
 
11.1%
8 2
 
5.6%
6 1
 
2.8%
7 1
 
2.8%
5 1
 
2.8%
9 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
* 3228
83.5%
, 638
 
16.5%
. 2
 
0.1%
Space Separator
ValueCountFrequency (%)
3250
100.0%
Close Punctuation
ValueCountFrequency (%)
) 554
100.0%
Open Punctuation
ValueCountFrequency (%)
( 554
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11239
56.9%
Common 8392
42.5%
Latin 122
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1412
 
12.6%
초 843
 
7.5%
동 593
 
5.3%
시 554
 
4.9%
구 550
 
4.9%
울 547
 
4.9%
특 547
 
4.9%
별 547
 
4.9%
로 524
 
4.7%
길 372
 
3.3%
Other values (255) 4750
42.3%
Latin
ValueCountFrequency (%)
B 33
27.0%
T 9
 
7.4%
S 6
 
4.9%
J 6
 
4.9%
R 6
 
4.9%
A 5
 
4.1%
K 4
 
3.3%
O 4
 
3.3%
C 4
 
3.3%
W 4
 
3.3%
Other values (24) 41
33.6%
Common
ValueCountFrequency (%)
3250
38.7%
* 3228
38.5%
, 638
 
7.6%
) 554
 
6.6%
( 554
 
6.6%
- 130
 
1.5%
1 11
 
0.1%
0 7
 
0.1%
4 4
 
< 0.1%
3 4
 
< 0.1%
Other values (7) 12
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11239
56.9%
ASCII 8513
43.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3250
38.2%
* 3228
37.9%
, 638
 
7.5%
) 554
 
6.5%
( 554
 
6.5%
- 130
 
1.5%
B 33
 
0.4%
1 11
 
0.1%
T 9
 
0.1%
0 7
 
0.1%
Other values (40) 99
 
1.2%
Hangul
ValueCountFrequency (%)
서 1412
 
12.6%
초 843
 
7.5%
동 593
 
5.3%
시 554
 
4.9%
구 550
 
4.9%
울 547
 
4.9%
특 547
 
4.9%
별 547
 
4.9%
로 524
 
4.7%
길 372
 
3.3%
Other values (255) 4750
42.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

도로명우편번호
Text

Distinct157
Distinct (%)28.7%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-05-11T15:43:32.395441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0073126
Min length5

Characters and Unicode

Total characters2739
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

Unique54 ?
Unique (%)9.9%

Sample

1st row06634
2nd row06720
3rd row06686
4th row06526
5th row06626
ValueCountFrequency (%)
06524 25
 
4.6%
06527 23
 
4.2%
06530 18
 
3.3%
06627 18
 
3.3%
06536 14
 
2.6%
06525 12
 
2.2%
06534 11
 
2.0%
06621 10
 
1.8%
06720 8
 
1.5%
06526 8
 
1.5%
Other values (147) 400
73.1%
2024-05-11T15:43:33.221022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 811
29.6%
0 608
22.2%
5 320
 
11.7%
7 273
 
10.0%
2 184
 
6.7%
3 161
 
5.9%
4 131
 
4.8%
1 107
 
3.9%
8 78
 
2.8%
9 64
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2737
99.9%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 811
29.6%
0 608
22.2%
5 320
 
11.7%
7 273
 
10.0%
2 184
 
6.7%
3 161
 
5.9%
4 131
 
4.8%
1 107
 
3.9%
8 78
 
2.8%
9 64
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2739
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 811
29.6%
0 608
22.2%
5 320
 
11.7%
7 273
 
10.0%
2 184
 
6.7%
3 161
 
5.9%
4 131
 
4.8%
1 107
 
3.9%
8 78
 
2.8%
9 64
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2739
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 811
29.6%
0 608
22.2%
5 320
 
11.7%
7 273
 
10.0%
2 184
 
6.7%
3 161
 
5.9%
4 131
 
4.8%
1 107
 
3.9%
8 78
 
2.8%
9 64
 
2.3%

사업장명
Text

Distinct542
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2024-05-11T15:43:33.623424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length28
Mean length10.542962
Min length2

Characters and Unicode

Total characters5767
Distinct characters418
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique537 ?
Unique (%)98.2%

Sample

1st row주식회사 로코그룹
2nd row(주)온원엔터테인먼트
3rd row(주)물고기엔터테인먼트
4th row주식회사 더좋은이엔티
5th row주식회사 태원아트미디어
ValueCountFrequency (%)
주식회사 153
 
16.6%
주 91
 
9.8%
엔터테인먼트 26
 
2.8%
컴퍼니 5
 
0.5%
entertainment 4
 
0.4%
에이전시 4
 
0.4%
모델 3
 
0.3%
크리에이티브 3
 
0.3%
앤 2
 
0.2%
에프엠지 2
 
0.2%
Other values (615) 631
68.3%
2024-05-11T15:43:34.333990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
378
 
6.6%
주 370
 
6.4%
( 248
 
4.3%
) 248
 
4.3%
이 218
 
3.8%
트 207
 
3.6%
엔 196
 
3.4%
인 179
 
3.1%
터 176
 
3.1%
스 165
 
2.9%
Other values (408) 3382
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4451
77.2%
Space Separator 378
 
6.6%
Open Punctuation 248
 
4.3%
Close Punctuation 248
 
4.3%
Lowercase Letter 222
 
3.8%
Uppercase Letter 181
 
3.1%
Other Punctuation 23
 
0.4%
Decimal Number 13
 
0.2%
Other Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 370
 
8.3%
이 218
 
4.9%
트 207
 
4.7%
엔 196
 
4.4%
인 179
 
4.0%
터 176
 
4.0%
스 165
 
3.7%
사 165
 
3.7%
먼 158
 
3.5%
회 156
 
3.5%
Other values (349) 2461
55.3%
Uppercase Letter
ValueCountFrequency (%)
E 21
11.6%
M 18
 
9.9%
N 16
 
8.8%
T 15
 
8.3%
C 13
 
7.2%
S 10
 
5.5%
A 10
 
5.5%
O 10
 
5.5%
R 9
 
5.0%
I 8
 
4.4%
Other values (13) 51
28.2%
Lowercase Letter
ValueCountFrequency (%)
t 32
14.4%
n 28
12.6%
e 24
10.8%
o 20
9.0%
a 17
 
7.7%
i 16
 
7.2%
d 11
 
5.0%
m 10
 
4.5%
s 9
 
4.1%
r 8
 
3.6%
Other values (11) 47
21.2%
Decimal Number
ValueCountFrequency (%)
2 4
30.8%
9 2
15.4%
0 2
15.4%
1 2
15.4%
5 1
 
7.7%
6 1
 
7.7%
7 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 12
52.2%
& 7
30.4%
, 4
 
17.4%
Space Separator
ValueCountFrequency (%)
378
100.0%
Open Punctuation
ValueCountFrequency (%)
( 248
100.0%
Close Punctuation
ValueCountFrequency (%)
) 248
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4453
77.2%
Common 911
 
15.8%
Latin 403
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 370
 
8.3%
이 218
 
4.9%
트 207
 
4.6%
엔 196
 
4.4%
인 179
 
4.0%
터 176
 
4.0%
스 165
 
3.7%
사 165
 
3.7%
먼 158
 
3.5%
회 156
 
3.5%
Other values (350) 2463
55.3%
Latin
ValueCountFrequency (%)
t 32
 
7.9%
n 28
 
6.9%
e 24
 
6.0%
E 21
 
5.2%
o 20
 
5.0%
M 18
 
4.5%
a 17
 
4.2%
N 16
 
4.0%
i 16
 
4.0%
T 15
 
3.7%
Other values (34) 196
48.6%
Common
ValueCountFrequency (%)
378
41.5%
( 248
27.2%
) 248
27.2%
. 12
 
1.3%
& 7
 
0.8%
, 4
 
0.4%
2 4
 
0.4%
9 2
 
0.2%
0 2
 
0.2%
1 2
 
0.2%
Other values (4) 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4451
77.2%
ASCII 1314
 
22.8%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
378
28.8%
( 248
18.9%
) 248
18.9%
t 32
 
2.4%
n 28
 
2.1%
e 24
 
1.8%
E 21
 
1.6%
o 20
 
1.5%
M 18
 
1.4%
a 17
 
1.3%
Other values (48) 280
21.3%
Hangul
ValueCountFrequency (%)
주 370
 
8.3%
이 218
 
4.9%
트 207
 
4.7%
엔 196
 
4.4%
인 179
 
4.0%
터 176
 
4.0%
스 165
 
3.7%
사 165
 
3.7%
먼 158
 
3.5%
회 156
 
3.5%
Other values (349) 2461
55.3%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct547
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2015-04-16 10:13:29
Maximum2024-05-09 13:56:23
2024-05-11T15:43:34.586952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:35.058827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
I
348 
U
199 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 348
63.6%
U 199
36.4%

Length

2024-05-11T15:43:35.282218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:35.468290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 348
63.6%
u 199
36.4%

데이터갱신일자
Date

Distinct295
Distinct (%)53.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:05:00
2024-05-11T15:43:35.642307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:43:35.820830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct398
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201558.25
Minimum198407.67
Maximum204276.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T15:43:36.015478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198407.67
5-th percentile198774.6
Q1201034.05
median201580.42
Q3202429.58
95-th percentile203848.09
Maximum204276.54
Range5868.8707
Interquartile range (IQR)1395.5362

Descriptive statistics

Standard deviation1377.2393
Coefficient of variation (CV)0.0068329589
Kurtosis-0.074310542
Mean201558.25
Median Absolute Deviation (MAD)657.51524
Skewness-0.36316711
Sum1.1025237 × 108
Variance1896788
MonotonicityNot monotonic
2024-05-11T15:43:36.233191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202501.602561199 17
 
3.1%
201483.408349862 8
 
1.5%
200675.805294681 7
 
1.3%
201990.741998075 5
 
0.9%
202099.252780012 5
 
0.9%
201680.914515104 5
 
0.9%
201501.672660443 5
 
0.9%
202465.22421124 4
 
0.7%
202422.661282039 4
 
0.7%
201465.119689415 4
 
0.7%
Other values (388) 483
88.3%
ValueCountFrequency (%)
198407.667634842 2
0.4%
198423.213354706 1
0.2%
198488.945173761 1
0.2%
198511.665525642 1
0.2%
198521.987919163 2
0.4%
198532.940717328 1
0.2%
198544.950903405 1
0.2%
198551.132561728 2
0.4%
198559.934297045 1
0.2%
198586.284914588 1
0.2%
ValueCountFrequency (%)
204276.538325934 1
0.2%
204256.069226149 2
0.4%
204241.913997006 2
0.4%
204145.273488218 1
0.2%
204132.966056682 1
0.2%
204113.270368125 1
0.2%
204106.051432322 2
0.4%
204048.50227289 2
0.4%
204015.575 1
0.2%
204006.131155345 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct398
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443582.61
Minimum440136.78
Maximum446659.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T15:43:36.439658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440136.78
5-th percentile441216.13
Q1442477.2
median443320.19
Q3445177.31
95-th percentile445998.07
Maximum446659.19
Range6522.4097
Interquartile range (IQR)2700.111

Descriptive statistics

Standard deviation1561.4562
Coefficient of variation (CV)0.0035201024
Kurtosis-1.022133
Mean443582.61
Median Absolute Deviation (MAD)1229.6233
Skewness0.0567704
Sum2.4263969 × 108
Variance2438145.5
MonotonicityNot monotonic
2024-05-11T15:43:36.684487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443226.434038556 17
 
3.1%
446180.260965954 8
 
1.5%
443427.113896821 7
 
1.3%
442433.148687375 5
 
0.9%
443921.619035316 5
 
0.9%
444584.589362916 5
 
0.9%
442505.573142545 5
 
0.9%
443462.352227891 4
 
0.7%
443716.344781328 4
 
0.7%
445946.899831444 4
 
0.7%
Other values (388) 483
88.3%
ValueCountFrequency (%)
440136.781183797 3
0.5%
440303.490253141 1
 
0.2%
440405.225542776 1
 
0.2%
440496.623644655 1
 
0.2%
440501.674897981 1
 
0.2%
440542.040253596 1
 
0.2%
440661.775 1
 
0.2%
440680.41841184 1
 
0.2%
440693.311634096 1
 
0.2%
440729.103990131 1
 
0.2%
ValueCountFrequency (%)
446659.190925805 1
 
0.2%
446312.298040264 1
 
0.2%
446183.502793135 2
 
0.4%
446180.260965954 8
1.5%
446171.191595532 1
 
0.2%
446144.110278895 1
 
0.2%
446120.800402366 1
 
0.2%
446118.082696301 2
 
0.4%
446098.762055175 3
 
0.5%
446094.650854533 1
 
0.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
대중문화예술기획업
335 
<NA>
212 

Length

Max length9
Median length9
Mean length7.0621572
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 335
61.2%
<NA> 212
38.8%

Length

2024-05-11T15:43:36.878753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:36.995110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 335
61.2%
na 212
38.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
유통관련업
335 
<NA>
212 

Length

Max length5
Median length5
Mean length4.6124314
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 335
61.2%
<NA> 212
38.8%

Length

2024-05-11T15:43:37.161149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:37.309356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 335
61.2%
na 212
38.8%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
512 
0
 
35

Length

Max length4
Median length4
Mean length3.8080439
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> 512
93.6%
0 35
 
6.4%

Length

2024-05-11T15:43:37.471638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:37.646713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 512
93.6%
0 35
 
6.4%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

제작취급품목내용
Text

MISSING 

Distinct91
Distinct (%)27.2%
Missing212
Missing (%)38.8%
Memory size4.4 KiB
2024-05-11T15:43:37.985720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length7.5671642
Min length3

Characters and Unicode

Total characters2535
Distinct characters95
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

Unique67 ?
Unique (%)20.0%

Sample

1st row연예매니지먼트
2nd row연예매니지먼트
3rd row연예인매니지먼트, 영화, 비디오물 및 방송프로그램의 기획, 제작, 유통판매업, 광고물의 기획제작, 광고대행업
4th row연예매니지먼트, 언터테인먼트, 공연기획, 음반기획
5th row연예매니지먼트, 엔터테인먼트, 공연 및 제작관련대리업
ValueCountFrequency (%)
매니지먼트 103
21.8%
엔터테인먼트 95
20.1%
연예매니지먼트 37
 
7.8%
매니저업 26
 
5.5%
등 18
 
3.8%
및 17
 
3.6%
모델에이전시 12
 
2.5%
에이전시 9
 
1.9%
연예인 9
 
1.9%
엔터테인먼트업 8
 
1.7%
Other values (77) 139
29.4%
2024-05-11T15:43:38.590615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
트 273
 
10.8%
먼 272
 
10.7%
매 191
 
7.5%
니 191
 
7.5%
지 166
 
6.5%
138
 
5.4%
인 135
 
5.3%
터 110
 
4.3%
테 109
 
4.3%
엔 108
 
4.3%
Other values (85) 842
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2328
91.8%
Space Separator 138
 
5.4%
Other Punctuation 69
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 273
11.7%
먼 272
 
11.7%
매 191
 
8.2%
니 191
 
8.2%
지 166
 
7.1%
인 135
 
5.8%
터 110
 
4.7%
테 109
 
4.7%
엔 108
 
4.6%
연 92
 
4.0%
Other values (81) 681
29.3%
Other Punctuation
ValueCountFrequency (%)
, 64
92.8%
/ 3
 
4.3%
? 2
 
2.9%
Space Separator
ValueCountFrequency (%)
138
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2328
91.8%
Common 207
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 273
11.7%
먼 272
 
11.7%
매 191
 
8.2%
니 191
 
8.2%
지 166
 
7.1%
인 135
 
5.8%
터 110
 
4.7%
테 109
 
4.7%
엔 108
 
4.6%
연 92
 
4.0%
Other values (81) 681
29.3%
Common
ValueCountFrequency (%)
138
66.7%
, 64
30.9%
/ 3
 
1.4%
? 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2328
91.8%
ASCII 207
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
트 273
11.7%
먼 272
 
11.7%
매 191
 
8.2%
니 191
 
8.2%
지 166
 
7.1%
인 135
 
5.8%
터 110
 
4.7%
테 109
 
4.7%
엔 108
 
4.6%
연 92
 
4.0%
Other values (81) 681
29.3%
ASCII
ValueCountFrequency (%)
138
66.7%
, 64
30.9%
/ 3
 
1.4%
? 2
 
1.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)61.1%
Missing434
Missing (%)79.3%
Infinite0
Infinite (%)0.0%
Mean58.12
Minimum0
Maximum479.34
Zeros34
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2024-05-11T15:43:38.803717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25
Q399
95-th percentile211.86
Maximum479.34
Range479.34
Interquartile range (IQR)99

Descriptive statistics

Standard deviation81.120479
Coefficient of variation (CV)1.3957412
Kurtosis6.091562
Mean58.12
Median Absolute Deviation (MAD)25
Skewness2.093676
Sum6567.56
Variance6580.5322
MonotonicityNot monotonic
2024-05-11T15:43:38.996601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 34
 
6.2%
3.3 4
 
0.7%
1.0 4
 
0.7%
99.0 2
 
0.4%
5.0 2
 
0.4%
2.2 2
 
0.4%
20.0 2
 
0.4%
56.92 2
 
0.4%
27.36 1
 
0.2%
3.0 1
 
0.2%
Other values (59) 59
 
10.8%
(Missing) 434
79.3%
ValueCountFrequency (%)
0.0 34
6.2%
1.0 4
 
0.7%
1.44 1
 
0.2%
2.0 1
 
0.2%
2.2 2
 
0.4%
3.0 1
 
0.2%
3.3 4
 
0.7%
4.0 1
 
0.2%
5.0 2
 
0.4%
10.0 1
 
0.2%
ValueCountFrequency (%)
479.34 1
0.2%
285.29 1
0.2%
279.97 1
0.2%
240.0 1
0.2%
213.97 1
0.2%
212.91 1
0.2%
211.16 1
0.2%
209.88 1
0.2%
198.35 1
0.2%
194.83 1
0.2%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
512 
0
 
35

Length

Max length4
Median length4
Mean length3.8080439
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> 512
93.6%
0 35
 
6.4%

Length

2024-05-11T15:43:39.191449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:39.350459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 512
93.6%
0 35
 
6.4%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
512 
0
 
35

Length

Max length4
Median length4
Mean length3.8080439
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> 512
93.6%
0 35
 
6.4%

Length

2024-05-11T15:43:39.492129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:39.639086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 512
93.6%
0 35
 
6.4%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
513 
0
 
34

Length

Max length4
Median length4
Mean length3.8135283
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> 513
93.8%
0 34
 
6.2%

Length

2024-05-11T15:43:39.847859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:40.029233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 513
93.8%
0 34
 
6.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
513 
0
 
34

Length

Max length4
Median length4
Mean length3.8135283
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> 513
93.8%
0 34
 
6.2%

Length

2024-05-11T15:43:40.192149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:40.358547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 513
93.8%
0 34
 
6.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
513 
0
 
34

Length

Max length4
Median length4
Mean length3.8135283
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> 513
93.8%
0 34
 
6.2%

Length

2024-05-11T15:43:40.524203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:40.671499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 513
93.8%
0 34
 
6.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
513 
0
 
34

Length

Max length4
Median length4
Mean length3.8135283
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> 513
93.8%
0 34
 
6.2%

Length

2024-05-11T15:43:40.806591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:40.947511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 513
93.8%
0 34
 
6.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
513 
0
 
34

Length

Max length4
Median length4
Mean length3.8135283
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> 513
93.8%
0 34
 
6.2%

Length

2024-05-11T15:43:41.083637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:43:41.239701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 513
93.8%
0 34
 
6.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing547
Missing (%)100.0%
Memory size4.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFF32410920150000012015-01-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-*서울특별시 서초구 서초중앙로 ***, B*층 (서초동, 서초동롯데캐슬메디치)06634주식회사 로코그룹2023-09-06 10:23:08U2022-12-09 00:08:00.0<NA>200856.19369443277.319134<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13210000CDFF32410920150000022015-01-14<NA>5제외/삭제/전출15전출2023-05-11<NA><NA><NA>02-780-2188<NA><NA>서울특별시 서초구 서초동 ****-* **층 **호서울특별시 서초구 효령로 ***, **층 **호 (서초동)06720(주)온원엔터테인먼트2023-05-11 15:33:59U2022-12-04 23:03:00.0<NA>201501.67266442505.573143<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23210000CDFF324109201500000420150206<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6221-2022<NA><NA>서울특별시 서초구 방배동 ***-**번지서울특별시 서초구 방배로 **, *층 (방배동)06686(주)물고기엔터테인먼트2015-04-16 10:13:29I2018-08-31 23:59:59.0<NA>199624.929069442262.095416대중문화예술기획업유통관련업<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>
33210000CDFF324109201500000520150303<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-*번지 경승빌딩서울특별시 서초구 강남대로 ***, *층 ***호 (잠원동, 경승빌딩)06526주식회사 더좋은이엔티2018-04-24 15:34:10I2018-08-31 23:59:59.0<NA>201650.490097445846.62002대중문화예술기획업유통관련업<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>
43210000CDFF324109201500000620150310<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4504-7006<NA><NA>서울특별시 서초구 서초동 ****-**번지서울특별시 서초구 사임당로 ***, **층 (서초동)06626주식회사 태원아트미디어2015-04-16 11:00:58I2018-08-31 23:59:59.0<NA>202467.838463443416.35304대중문화예술기획업유통관련업<NA><NA>연예인매니지먼트, 영화, 비디오물 및 방송프로그램의 기획, 제작, 유통판매업, 광고물의 기획제작, 광고대행업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53210000CDFF324109201500000820150330<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4102-4002<NA><NA>서울특별시 서초구 방배동 ***-**번지서울특별시 서초구 방배천로*길 *-** (방배동)06691슈가레코드2015-04-16 11:43:36I2018-08-31 23:59:59.0<NA>198407.667635441981.589454대중문화예술기획업유통관련업<NA><NA>연예매니지먼트, 언터테인먼트, 공연기획, 음반기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63210000CDFF324109201500001420150403<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3471-1002<NA><NA>서울특별시 서초구 서초동 ****-**번지서울특별시 서초구 강남대로**길 **-**, ***호 (서초동)06735주식회사 비즈니스인텔리전스2015-04-16 14:05:09I2018-08-31 23:59:59.0<NA>202771.795165442613.620962대중문화예술기획업유통관련업<NA><NA>연예매니지먼트, 엔터테인먼트, 공연 및 제작관련대리업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73210000CDFF324109201500001620150406<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6959-9338<NA><NA>서울특별시 서초구 잠원동 *-*번지서울특별시 서초구 강남대로***길 ** (잠원동)06524주식회사 투명망토2015-04-16 14:15:37I2018-08-31 23:59:59.0<NA>201483.40835446180.260966대중문화예술기획업유통관련업<NA><NA>엔터테인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83210000CDFF324109201500001820150409<NA>1영업/정상13영업중<NA><NA><NA><NA>02-523-3439<NA><NA>서울특별시 서초구 반포동 ***-**번지 ***호서울특별시 서초구 신반포로**길 **, ***호 (반포동)06534(주)메르센엔터테인먼트2015-04-16 15:12:54I2018-08-31 23:59:59.0<NA>201576.731105445262.462692대중문화예술기획업유통관련업<NA><NA>대중문화예술기획업, 연예인매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93210000CDFF324109201500001920150409<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-*번지서울특별시 서초구 동광로*길 *-*, ***호 (방배동, 복빌라)06565위룰이엔티 (We Rule ENT)2015-09-18 13:19:11I2018-08-31 23:59:59.0<NA>198671.857519443161.3383대중문화예술기획업유통관련업<NA><NA>연예매니지먼트, 연예인대행<NA><NA><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
5373210000CDFF32410920240000122021-10-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-*서울특별시 서초구 방배로 ***, *층 (방배동)06664주식회사 씨커뮤니케이션즈2024-03-13 13:44:34I2023-12-02 23:05:00.0<NA>199461.288361442710.151615<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5383210000CDFF32410920240000132024-03-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 양재동 ***-* 선빌딩서울특별시 서초구 논현로 **, 선빌딩 *층 (양재동)06782에쓰엠지 주식회사2024-03-15 13:30:11I2023-12-02 23:07:00.0<NA>204048.502273441463.088543<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5393210000CDFF32410920240000142018-12-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* 서초메이플라워맴버스빌서울특별시 서초구 서초대로 ***, 서초메이플라워맴버스빌 ***호 (서초동)06607주식회사 유엠아이엔터테인먼트2024-04-03 09:36:41U2023-12-04 00:06:00.0<NA>201711.438277443758.65672<NA><NA><NA><NA><NA><NA><NA><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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