Overview

Dataset statistics

Number of variables56
Number of observations92
Missing cells2452
Missing cells (%)47.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.1 KiB
Average record size in memory490.4 B

Variable types

Categorical18
Text6
DateTime4
Unsupported24
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-17204/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (87.1%)Imbalance
휴업종료일자 is highly imbalanced (87.1%)Imbalance
인허가취소일자 has 92 (100.0%) missing valuesMissing
폐업일자 has 72 (78.3%) missing valuesMissing
재개업일자 has 92 (100.0%) missing valuesMissing
전화번호 has 65 (70.7%) missing valuesMissing
소재지면적 has 92 (100.0%) missing valuesMissing
소재지우편번호 has 92 (100.0%) missing valuesMissing
업태구분명 has 92 (100.0%) missing valuesMissing
주변환경명 has 92 (100.0%) missing valuesMissing
제작취급품목내용 has 32 (34.8%) missing valuesMissing
시설면적 has 75 (81.5%) missing valuesMissing
건물용도명 has 92 (100.0%) missing valuesMissing
비상계단여부 has 92 (100.0%) missing valuesMissing
비상구여부 has 92 (100.0%) missing valuesMissing
자동환기여부 has 92 (100.0%) missing valuesMissing
청소년실여부 has 92 (100.0%) missing valuesMissing
특수조명여부 has 92 (100.0%) missing valuesMissing
방음시설여부 has 92 (100.0%) missing valuesMissing
비디오재생기명 has 92 (100.0%) missing valuesMissing
조명시설유무 has 92 (100.0%) missing valuesMissing
음향시설여부 has 92 (100.0%) missing valuesMissing
편의시설여부 has 92 (100.0%) missing valuesMissing
소방시설여부 has 92 (100.0%) missing valuesMissing
기존게임업외업종명 has 92 (100.0%) missing valuesMissing
제공게임물명 has 92 (100.0%) missing valuesMissing
공연장형태구분명 has 92 (100.0%) missing valuesMissing
품목명 has 92 (100.0%) missing valuesMissing
최초등록시점 has 92 (100.0%) missing valuesMissing
지역구분명 has 92 (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 9 (9.8%) zerosZeros

Reproduction

Analysis started2024-05-11 06:10:19.391409
Analysis finished2024-05-11 06:10:20.485415
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
3120000
92 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 92
100.0%

Length

2024-05-11T15:10:20.580479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:20.730830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 92
100.0%

관리번호
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-05-11T15:10:20.979656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1840
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

Unique92 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000002
3rd rowCDFF3241092015000003
4th rowCDFF3241092015000004
5th rowCDFF3241092015000005
ValueCountFrequency (%)
cdff3241092015000001 1
 
1.1%
cdff3241092021000009 1
 
1.1%
cdff3241092022000003 1
 
1.1%
cdff3241092022000002 1
 
1.1%
cdff3241092022000001 1
 
1.1%
cdff3241092021000016 1
 
1.1%
cdff3241092021000015 1
 
1.1%
cdff3241092021000014 1
 
1.1%
cdff3241092021000013 1
 
1.1%
cdff3241092021000012 1
 
1.1%
Other values (82) 82
89.1%
2024-05-11T15:10:21.478484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 629
34.2%
2 268
14.6%
1 185
 
10.1%
F 184
 
10.0%
4 111
 
6.0%
3 109
 
5.9%
9 106
 
5.8%
C 92
 
5.0%
D 92
 
5.0%
5 31
 
1.7%
Other values (3) 33
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1472
80.0%
Uppercase Letter 368
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 629
42.7%
2 268
18.2%
1 185
 
12.6%
4 111
 
7.5%
3 109
 
7.4%
9 106
 
7.2%
5 31
 
2.1%
6 12
 
0.8%
8 11
 
0.7%
7 10
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 184
50.0%
C 92
25.0%
D 92
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1472
80.0%
Latin 368
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 629
42.7%
2 268
18.2%
1 185
 
12.6%
4 111
 
7.5%
3 109
 
7.4%
9 106
 
7.2%
5 31
 
2.1%
6 12
 
0.8%
8 11
 
0.7%
7 10
 
0.7%
Latin
ValueCountFrequency (%)
F 184
50.0%
C 92
25.0%
D 92
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 629
34.2%
2 268
14.6%
1 185
 
10.1%
F 184
 
10.0%
4 111
 
6.0%
3 109
 
5.9%
9 106
 
5.8%
C 92
 
5.0%
D 92
 
5.0%
5 31
 
1.7%
Other values (3) 33
 
1.8%

인허가일자
Date

Distinct84
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2015-02-03 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T15:10:21.683180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:10:21.854934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
1
69 
3
11 
5
9 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
75.0%
3 11
 
12.0%
5 9
 
9.8%
2 3
 
3.3%

Length

2024-05-11T15:10:22.046063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:22.177000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
75.0%
3 11
 
12.0%
5 9
 
9.8%
2 3
 
3.3%

영업상태명
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
영업/정상
69 
폐업
11 
제외/삭제/전출
9 
휴업
 
3

Length

Max length8
Median length5
Mean length4.8369565
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 69
75.0%
폐업 11
 
12.0%
제외/삭제/전출 9
 
9.8%
휴업 3
 
3.3%

Length

2024-05-11T15:10:22.322460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:22.466195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 69
75.0%
폐업 11
 
12.0%
제외/삭제/전출 9
 
9.8%
휴업 3
 
3.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
13
69 
3
11 
15
9 
2
 
3

Length

Max length2
Median length2
Mean length1.8478261
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 69
75.0%
3 11
 
12.0%
15 9
 
9.8%
2 3
 
3.3%

Length

2024-05-11T15:10:22.633273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:22.758822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 69
75.0%
3 11
 
12.0%
15 9
 
9.8%
2 3
 
3.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
영업중
69 
폐업
11 
전출
9 
휴업
 
3

Length

Max length3
Median length3
Mean length2.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 69
75.0%
폐업 11
 
12.0%
전출 9
 
9.8%
휴업 3
 
3.3%

Length

2024-05-11T15:10:22.946606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:23.116714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 69
75.0%
폐업 11
 
12.0%
전출 9
 
9.8%
휴업 3
 
3.3%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)95.0%
Missing72
Missing (%)78.3%
Memory size868.0 B
Minimum2017-12-27 00:00:00
Maximum2024-03-15 00:00:00
2024-05-11T15:10:23.283981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:10:23.510623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
89 
20190822
 
1
20211222
 
1
20211026
 
1

Length

Max length8
Median length4
Mean length4.1304348
Min length4

Unique

Unique3 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 89
96.7%
20190822 1
 
1.1%
20211222 1
 
1.1%
20211026 1
 
1.1%

Length

2024-05-11T15:10:23.715549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:23.865332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
96.7%
20190822 1
 
1.1%
20211222 1
 
1.1%
20211026 1
 
1.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
89 
20200821
 
1
20221222
 
1
20220319
 
1

Length

Max length8
Median length4
Mean length4.1304348
Min length4

Unique

Unique3 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 89
96.7%
20200821 1
 
1.1%
20221222 1
 
1.1%
20220319 1
 
1.1%

Length

2024-05-11T15:10:24.013786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:24.153226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 89
96.7%
20200821 1
 
1.1%
20221222 1
 
1.1%
20220319 1
 
1.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

전화번호
Text

MISSING 

Distinct24
Distinct (%)88.9%
Missing65
Missing (%)70.7%
Memory size868.0 B
2024-05-11T15:10:24.409343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.481481
Min length8

Characters and Unicode

Total characters310
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

Unique21 ?
Unique (%)77.8%

Sample

1st row02-312-4966
2nd row02-334-1092
3rd row02-334-1092
4th row070-4242-4534
5th row070-7525-2112
ValueCountFrequency (%)
02-3142-2592 2
 
7.1%
02-334-1092 2
 
7.1%
02-6351-0130 2
 
7.1%
02-718-0918 1
 
3.6%
02-312-4966 1
 
3.6%
02-6268-8889 1
 
3.6%
02-322-3658 1
 
3.6%
02-3443-6488 1
 
3.6%
02-3144-4888 1
 
3.6%
02-831-6269 1
 
3.6%
Other values (15) 15
53.6%
2024-05-11T15:10:24.875565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 55
17.7%
- 49
15.8%
0 46
14.8%
3 34
11.0%
7 22
 
7.1%
6 20
 
6.5%
1 19
 
6.1%
4 18
 
5.8%
8 17
 
5.5%
5 15
 
4.8%
Other values (2) 15
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 260
83.9%
Dash Punctuation 49
 
15.8%
Space Separator 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 55
21.2%
0 46
17.7%
3 34
13.1%
7 22
 
8.5%
6 20
 
7.7%
1 19
 
7.3%
4 18
 
6.9%
8 17
 
6.5%
5 15
 
5.8%
9 14
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 55
17.7%
- 49
15.8%
0 46
14.8%
3 34
11.0%
7 22
 
7.1%
6 20
 
6.5%
1 19
 
6.1%
4 18
 
5.8%
8 17
 
5.5%
5 15
 
4.8%
Other values (2) 15
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 55
17.7%
- 49
15.8%
0 46
14.8%
3 34
11.0%
7 22
 
7.1%
6 20
 
6.5%
1 19
 
6.1%
4 18
 
5.8%
8 17
 
5.5%
5 15
 
4.8%
Other values (2) 15
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

지번주소
Text

Distinct75
Distinct (%)81.5%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-05-11T15:10:25.277996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length25.793478
Min length20

Characters and Unicode

Total characters2373
Distinct characters137
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

Unique64 ?
Unique (%)69.6%

Sample

1st row서울특별시 서대문구 대현동 **-*번지
2nd row서울특별시 서대문구 충정로*가 **-*번지 *층
3rd row서울특별시 서대문구 남가좌동 ***-*번지
4th row서울특별시 서대문구 연희동 ***-*번지
5th row서울특별시 서대문구 연희동 ***-*번지
ValueCountFrequency (%)
서울특별시 92
21.1%
서대문구 92
21.1%
60
13.7%
연희동 33
 
7.6%
번지 30
 
6.9%
창천동 16
 
3.7%
호 12
 
2.7%
대현동 7
 
1.6%
홍은동 7
 
1.6%
북가좌동 7
 
1.6%
Other values (54) 81
18.5%
2024-05-11T15:10:25.884556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 435
18.3%
396
16.7%
서 184
 
7.8%
대 103
 
4.3%
동 93
 
3.9%
시 93
 
3.9%
구 92
 
3.9%
울 92
 
3.9%
문 92
 
3.9%
별 92
 
3.9%
Other values (127) 701
29.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1432
60.3%
Other Punctuation 440
 
18.5%
Space Separator 396
 
16.7%
Dash Punctuation 83
 
3.5%
Uppercase Letter 11
 
0.5%
Decimal Number 9
 
0.4%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 184
 
12.8%
대 103
 
7.2%
동 93
 
6.5%
시 93
 
6.5%
구 92
 
6.4%
울 92
 
6.4%
문 92
 
6.4%
별 92
 
6.4%
특 92
 
6.4%
희 33
 
2.3%
Other values (112) 466
32.5%
Uppercase Letter
ValueCountFrequency (%)
D 3
27.3%
B 2
18.2%
C 2
18.2%
M 2
18.2%
S 1
 
9.1%
K 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
3 3
33.3%
1 2
22.2%
5 2
22.2%
7 2
22.2%
Other Punctuation
ValueCountFrequency (%)
* 435
98.9%
, 5
 
1.1%
Space Separator
ValueCountFrequency (%)
396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1432
60.3%
Common 928
39.1%
Latin 13
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 184
 
12.8%
대 103
 
7.2%
동 93
 
6.5%
시 93
 
6.5%
구 92
 
6.4%
울 92
 
6.4%
문 92
 
6.4%
별 92
 
6.4%
특 92
 
6.4%
희 33
 
2.3%
Other values (112) 466
32.5%
Common
ValueCountFrequency (%)
* 435
46.9%
396
42.7%
- 83
 
8.9%
, 5
 
0.5%
3 3
 
0.3%
1 2
 
0.2%
5 2
 
0.2%
7 2
 
0.2%
Latin
ValueCountFrequency (%)
D 3
23.1%
B 2
15.4%
C 2
15.4%
M 2
15.4%
e 2
15.4%
S 1
 
7.7%
K 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1432
60.3%
ASCII 941
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 435
46.2%
396
42.1%
- 83
 
8.8%
, 5
 
0.5%
D 3
 
0.3%
3 3
 
0.3%
1 2
 
0.2%
5 2
 
0.2%
7 2
 
0.2%
B 2
 
0.2%
Other values (5) 8
 
0.9%
Hangul
ValueCountFrequency (%)
서 184
 
12.8%
대 103
 
7.2%
동 93
 
6.5%
시 93
 
6.5%
구 92
 
6.4%
울 92
 
6.4%
문 92
 
6.4%
별 92
 
6.4%
특 92
 
6.4%
희 33
 
2.3%
Other values (112) 466
32.5%

도로명주소
Text

Distinct85
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-05-11T15:10:26.201368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length34.880435
Min length24

Characters and Unicode

Total characters3209
Distinct characters166
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)88.0%

Sample

1st row서울특별시 서대문구 신촌로 *** (대현동)
2nd row서울특별시 서대문구 경기대로 ** (충정로*가)
3rd row서울특별시 서대문구 가재울미래로 *, ***동 ****호 (남가좌동, DMC파크뷰자이)
4th row서울특별시 서대문구 연희로**가길 **, ***호 (연희동)
5th row서울특별시 서대문구 연희로**가길 ** (연희동)
ValueCountFrequency (%)
서울특별시 92
14.8%
92
14.8%
서대문구 92
14.8%
호 40
 
6.4%
층 36
 
5.8%
연희동 33
 
5.3%
창천동 16
 
2.6%
신촌로 12
 
1.9%
연희로 10
 
1.6%
동 7
 
1.1%
Other values (108) 191
30.8%
2024-05-11T15:10:26.744119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
529
 
16.5%
* 478
 
14.9%
서 186
 
5.8%
대 111
 
3.5%
, 102
 
3.2%
동 99
 
3.1%
( 93
 
2.9%
시 93
 
2.9%
문 93
 
2.9%
울 93
 
2.9%
Other values (156) 1332
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1858
57.9%
Other Punctuation 580
 
18.1%
Space Separator 529
 
16.5%
Open Punctuation 93
 
2.9%
Close Punctuation 93
 
2.9%
Dash Punctuation 19
 
0.6%
Uppercase Letter 19
 
0.6%
Decimal Number 16
 
0.5%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 186
 
10.0%
대 111
 
6.0%
동 99
 
5.3%
시 93
 
5.0%
문 93
 
5.0%
울 93
 
5.0%
특 92
 
5.0%
별 92
 
5.0%
구 92
 
5.0%
로 91
 
4.9%
Other values (135) 816
43.9%
Uppercase Letter
ValueCountFrequency (%)
D 4
21.1%
C 4
21.1%
B 4
21.1%
M 3
15.8%
S 1
 
5.3%
F 1
 
5.3%
K 1
 
5.3%
A 1
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 6
37.5%
1 4
25.0%
0 3
18.8%
5 1
 
6.2%
6 1
 
6.2%
3 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
* 478
82.4%
, 102
 
17.6%
Space Separator
ValueCountFrequency (%)
529
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1858
57.9%
Common 1330
41.4%
Latin 21
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 186
 
10.0%
대 111
 
6.0%
동 99
 
5.3%
시 93
 
5.0%
문 93
 
5.0%
울 93
 
5.0%
특 92
 
5.0%
별 92
 
5.0%
구 92
 
5.0%
로 91
 
4.9%
Other values (135) 816
43.9%
Common
ValueCountFrequency (%)
529
39.8%
* 478
35.9%
, 102
 
7.7%
( 93
 
7.0%
) 93
 
7.0%
- 19
 
1.4%
2 6
 
0.5%
1 4
 
0.3%
0 3
 
0.2%
5 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
D 4
19.0%
C 4
19.0%
B 4
19.0%
M 3
14.3%
e 2
9.5%
S 1
 
4.8%
F 1
 
4.8%
K 1
 
4.8%
A 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1858
57.9%
ASCII 1351
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
529
39.2%
* 478
35.4%
, 102
 
7.5%
( 93
 
6.9%
) 93
 
6.9%
- 19
 
1.4%
2 6
 
0.4%
D 4
 
0.3%
C 4
 
0.3%
B 4
 
0.3%
Other values (11) 19
 
1.4%
Hangul
ValueCountFrequency (%)
서 186
 
10.0%
대 111
 
6.0%
동 99
 
5.3%
시 93
 
5.0%
문 93
 
5.0%
울 93
 
5.0%
특 92
 
5.0%
별 92
 
5.0%
구 92
 
5.0%
로 91
 
4.9%
Other values (135) 816
43.9%

도로명우편번호
Real number (ℝ)

Distinct53
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4988.3261
Minimum3606
Maximum120110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-05-11T15:10:26.951672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3606
5-th percentile3639
Q13702
median3720.5
Q33766
95-th percentile3785.45
Maximum120110
Range116504
Interquartile range (IQR)64

Descriptive statistics

Standard deviation12134.243
Coefficient of variation (CV)2.4325279
Kurtosis91.997324
Mean4988.3261
Median Absolute Deviation (MAD)29.5
Skewness9.591456
Sum458926
Variance1.4723984 × 108
MonotonicityNot monotonic
2024-05-11T15:10:27.166745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3785 9
 
9.8%
3766 5
 
5.4%
3708 5
 
5.4%
3724 4
 
4.3%
3707 4
 
4.3%
3697 3
 
3.3%
3750 3
 
3.3%
3737 3
 
3.3%
3709 3
 
3.3%
3789 3
 
3.3%
Other values (43) 50
54.3%
ValueCountFrequency (%)
3606 1
1.1%
3619 1
1.1%
3623 1
1.1%
3628 2
2.2%
3648 1
1.1%
3650 1
1.1%
3654 1
1.1%
3660 1
1.1%
3662 1
1.1%
3664 1
1.1%
ValueCountFrequency (%)
120110 1
 
1.1%
3789 3
 
3.3%
3786 1
 
1.1%
3785 9
9.8%
3783 1
 
1.1%
3782 1
 
1.1%
3781 1
 
1.1%
3780 2
 
2.2%
3774 1
 
1.1%
3766 5
5.4%

사업장명
Text

Distinct91
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size868.0 B
2024-05-11T15:10:27.440562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length18
Mean length10.228261
Min length2

Characters and Unicode

Total characters941
Distinct characters200
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)97.8%

Sample

1st row보명프로
2nd row(주)케이툰이앤엠코리아
3rd row포엠 엔터테인먼트(Poem entertainment)
4th row탑플랜엔터테인먼트
5th row주식회사 탑플랜엔터테인먼트
ValueCountFrequency (%)
주식회사 33
 
21.3%
엔터테인먼트 8
 
5.2%
파익스퍼밀 2
 
1.3%
탑플랜엔터테인먼트 2
 
1.3%
뮤직 2
 
1.3%
korea 1
 
0.6%
스링 1
 
0.6%
장프로덕션 1
 
0.6%
매니지먼트 1
 
0.6%
management(리벨리온 1
 
0.6%
Other values (103) 103
66.5%
2024-05-11T15:10:27.865063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
 
6.7%
주 46
 
4.9%
사 40
 
4.3%
트 37
 
3.9%
식 35
 
3.7%
회 35
 
3.7%
이 30
 
3.2%
스 29
 
3.1%
터 29
 
3.1%
인 28
 
3.0%
Other values (190) 569
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 756
80.3%
Space Separator 63
 
6.7%
Lowercase Letter 61
 
6.5%
Uppercase Letter 21
 
2.2%
Open Punctuation 18
 
1.9%
Close Punctuation 18
 
1.9%
Other Punctuation 2
 
0.2%
Dash Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 46
 
6.1%
사 40
 
5.3%
트 37
 
4.9%
식 35
 
4.6%
회 35
 
4.6%
이 30
 
4.0%
스 29
 
3.8%
터 29
 
3.8%
인 28
 
3.7%
엔 26
 
3.4%
Other values (151) 421
55.7%
Lowercase Letter
ValueCountFrequency (%)
e 12
19.7%
n 8
13.1%
t 5
8.2%
a 5
8.2%
o 5
8.2%
m 4
 
6.6%
i 4
 
6.6%
h 3
 
4.9%
l 3
 
4.9%
r 3
 
4.9%
Other values (7) 9
14.8%
Uppercase Letter
ValueCountFrequency (%)
R 4
19.0%
E 3
14.3%
S 2
 
9.5%
V 1
 
4.8%
K 1
 
4.8%
M 1
 
4.8%
B 1
 
4.8%
D 1
 
4.8%
O 1
 
4.8%
C 1
 
4.8%
Other values (5) 5
23.8%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
63
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 756
80.3%
Common 103
 
10.9%
Latin 82
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 46
 
6.1%
사 40
 
5.3%
트 37
 
4.9%
식 35
 
4.6%
회 35
 
4.6%
이 30
 
4.0%
스 29
 
3.8%
터 29
 
3.8%
인 28
 
3.7%
엔 26
 
3.4%
Other values (151) 421
55.7%
Latin
ValueCountFrequency (%)
e 12
14.6%
n 8
 
9.8%
t 5
 
6.1%
a 5
 
6.1%
o 5
 
6.1%
R 4
 
4.9%
m 4
 
4.9%
i 4
 
4.9%
h 3
 
3.7%
l 3
 
3.7%
Other values (22) 29
35.4%
Common
ValueCountFrequency (%)
63
61.2%
( 18
 
17.5%
) 18
 
17.5%
& 1
 
1.0%
- 1
 
1.0%
. 1
 
1.0%
1 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 756
80.3%
ASCII 185
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
34.1%
( 18
 
9.7%
) 18
 
9.7%
e 12
 
6.5%
n 8
 
4.3%
t 5
 
2.7%
a 5
 
2.7%
o 5
 
2.7%
R 4
 
2.2%
m 4
 
2.2%
Other values (29) 43
23.2%
Hangul
ValueCountFrequency (%)
주 46
 
6.1%
사 40
 
5.3%
트 37
 
4.9%
식 35
 
4.6%
회 35
 
4.6%
이 30
 
4.0%
스 29
 
3.8%
터 29
 
3.8%
인 28
 
3.7%
엔 26
 
3.4%
Other values (151) 421
55.7%

최종수정일자
Date

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2015-05-08 11:38:31
Maximum2024-05-08 17:08:33
2024-05-11T15:10:28.078246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:10:28.258187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
I
47 
U
45 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 47
51.1%
U 45
48.9%

Length

2024-05-11T15:10:28.467303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:28.586234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 47
51.1%
u 45
48.9%

데이터갱신일자
Date

Distinct76
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T15:10:28.723173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:10:28.904529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

좌표정보(X)
Real number (ℝ)

Distinct71
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194187.54
Minimum191484.64
Maximum196945.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-05-11T15:10:29.095485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191484.64
5-th percentile192143.24
Q1193656.44
median193967.09
Q3194868.84
95-th percentile196315.11
Maximum196945.45
Range5460.8158
Interquartile range (IQR)1212.4051

Descriptive statistics

Standard deviation1135.4968
Coefficient of variation (CV)0.0058474233
Kurtosis0.28563428
Mean194187.54
Median Absolute Deviation (MAD)389.69992
Skewness0.30472175
Sum17865254
Variance1289352.9
MonotonicityNot monotonic
2024-05-11T15:10:29.259953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193712.476983727 9
 
9.8%
196585.072291052 3
 
3.3%
196092.743236094 3
 
3.3%
193967.090218117 3
 
3.3%
195074.388923003 2
 
2.2%
194098.241327387 2
 
2.2%
193629.174117927 2
 
2.2%
194850.361025035 2
 
2.2%
192028.41586192 2
 
2.2%
193577.390296827 2
 
2.2%
Other values (61) 62
67.4%
ValueCountFrequency (%)
191484.638855239 1
1.1%
191836.275479334 1
1.1%
192028.41586192 2
2.2%
192116.447171803 1
1.1%
192165.159858999 1
1.1%
192285.636936533 1
1.1%
192726.0 1
1.1%
192772.680238826 1
1.1%
192782.227978985 1
1.1%
193177.165836354 1
1.1%
ValueCountFrequency (%)
196945.454641052 1
 
1.1%
196801.661639204 1
 
1.1%
196585.072291052 3
3.3%
196094.227024325 1
 
1.1%
196092.743236094 3
3.3%
195812.965737711 1
 
1.1%
195806.732723093 1
 
1.1%
195590.780956686 1
 
1.1%
195485.296908303 1
 
1.1%
195373.903312873 1
 
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct71
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451843.54
Minimum450491.55
Maximum455365.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-05-11T15:10:29.427837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450491.55
5-th percentile450555.87
Q1450866.46
median451653.19
Q3452330.93
95-th percentile454344.43
Maximum455365.47
Range4873.924
Interquartile range (IQR)1464.462

Descriptive statistics

Standard deviation1160.2966
Coefficient of variation (CV)0.0025679169
Kurtosis0.51887146
Mean451843.54
Median Absolute Deviation (MAD)740.52241
Skewness1.0209872
Sum41569605
Variance1346288.3
MonotonicityNot monotonic
2024-05-11T15:10:29.627354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450637.010875398 9
 
9.8%
451015.034956518 3
 
3.3%
451128.462263975 3
 
3.3%
451803.554668261 3
 
3.3%
450756.225855701 2
 
2.2%
452127.853123508 2
 
2.2%
451658.943981991 2
 
2.2%
454344.432517428 2
 
2.2%
452265.952165442 2
 
2.2%
451513.940750631 2
 
2.2%
Other values (61) 62
67.4%
ValueCountFrequency (%)
450491.55070752 1
 
1.1%
450498.970186592 1
 
1.1%
450525.834024158 1
 
1.1%
450532.009946368 1
 
1.1%
450533.980991614 1
 
1.1%
450573.784039237 1
 
1.1%
450590.697522287 1
 
1.1%
450619.877088133 1
 
1.1%
450637.010875398 9
9.8%
450666.510310035 1
 
1.1%
ValueCountFrequency (%)
455365.474685508 1
1.1%
454854.831582051 1
1.1%
454602.605617352 1
1.1%
454495.601629192 1
1.1%
454344.432517428 2
2.2%
454194.693044027 1
1.1%
453681.531642847 1
1.1%
453627.08492671 1
1.1%
453319.10995337 1
1.1%
453316.191014056 1
1.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
대중문화예술기획업
60 
<NA>
32 

Length

Max length9
Median length9
Mean length7.2608696
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 60
65.2%
<NA> 32
34.8%

Length

2024-05-11T15:10:30.175407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:30.339790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 60
65.2%
na 32
34.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
유통관련업
60 
<NA>
32 

Length

Max length5
Median length5
Mean length4.6521739
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 60
65.2%
<NA> 32
34.8%

Length

2024-05-11T15:10:30.515917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:30.664599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 60
65.2%
na 32
34.8%

총층수
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
80 
0
12 

Length

Max length4
Median length4
Mean length3.6086957
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> 80
87.0%
0 12
 
13.0%

Length

2024-05-11T15:10:30.831658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:30.996164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
87.0%
0 12
 
13.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

제작취급품목내용
Text

MISSING 

Distinct39
Distinct (%)65.0%
Missing32
Missing (%)34.8%
Memory size868.0 B
2024-05-11T15:10:31.254546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31.5
Mean length11.533333
Min length4

Characters and Unicode

Total characters692
Distinct characters77
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

Unique32 ?
Unique (%)53.3%

Sample

1st row모델에이전시
2nd row국내외 연예인매니지먼트, 연예대행
3rd row음반제작,작곡,공연기획,엔터테인먼트
4th row엔터테인먼트
5th row엔터테인먼트
ValueCountFrequency (%)
엔터테인먼트 18
 
14.8%
매니지먼트 12
 
9.8%
매니저업 6
 
4.9%
공연기획 5
 
4.1%
제작 5
 
4.1%
연예인 5
 
4.1%
및 4
 
3.3%
모델에이전시 4
 
3.3%
기획 3
 
2.5%
공연 3
 
2.5%
Other values (46) 57
46.7%
2024-05-11T15:10:31.748890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
 
9.0%
, 49
 
7.1%
트 45
 
6.5%
먼 44
 
6.4%
연 31
 
4.5%
니 30
 
4.3%
매 29
 
4.2%
인 29
 
4.2%
지 24
 
3.5%
예 23
 
3.3%
Other values (67) 326
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 581
84.0%
Space Separator 62
 
9.0%
Other Punctuation 49
 
7.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 45
 
7.7%
먼 44
 
7.6%
연 31
 
5.3%
니 30
 
5.2%
매 29
 
5.0%
인 29
 
5.0%
지 24
 
4.1%
예 23
 
4.0%
터 21
 
3.6%
작 21
 
3.6%
Other values (65) 284
48.9%
Space Separator
ValueCountFrequency (%)
62
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 581
84.0%
Common 111
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 45
 
7.7%
먼 44
 
7.6%
연 31
 
5.3%
니 30
 
5.2%
매 29
 
5.0%
인 29
 
5.0%
지 24
 
4.1%
예 23
 
4.0%
터 21
 
3.6%
작 21
 
3.6%
Other values (65) 284
48.9%
Common
ValueCountFrequency (%)
62
55.9%
, 49
44.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 581
84.0%
ASCII 111
 
16.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
55.9%
, 49
44.1%
Hangul
ValueCountFrequency (%)
트 45
 
7.7%
먼 44
 
7.6%
연 31
 
5.3%
니 30
 
5.2%
매 29
 
5.0%
인 29
 
5.0%
지 24
 
4.1%
예 23
 
4.0%
터 21
 
3.6%
작 21
 
3.6%
Other values (65) 284
48.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)47.1%
Missing75
Missing (%)81.5%
Infinite0
Infinite (%)0.0%
Mean68.886471
Minimum0
Maximum449.26
Zeros9
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size960.0 B
2024-05-11T15:10:31.922019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3116.13
95-th percentile221.852
Maximum449.26
Range449.26
Interquartile range (IQR)116.13

Descriptive statistics

Standard deviation117.21006
Coefficient of variation (CV)1.7014961
Kurtosis6.6595811
Mean68.886471
Median Absolute Deviation (MAD)0
Skewness2.3934053
Sum1171.07
Variance13738.199
MonotonicityNot monotonic
2024-05-11T15:10:32.113166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 9
 
9.8%
160.63 2
 
2.2%
165.0 1
 
1.1%
449.26 1
 
1.1%
43.62 1
 
1.1%
10.0 1
 
1.1%
116.13 1
 
1.1%
65.8 1
 
1.1%
(Missing) 75
81.5%
ValueCountFrequency (%)
0.0 9
9.8%
10.0 1
 
1.1%
43.62 1
 
1.1%
65.8 1
 
1.1%
116.13 1
 
1.1%
160.63 2
 
2.2%
165.0 1
 
1.1%
449.26 1
 
1.1%
ValueCountFrequency (%)
449.26 1
 
1.1%
165.0 1
 
1.1%
160.63 2
 
2.2%
116.13 1
 
1.1%
65.8 1
 
1.1%
43.62 1
 
1.1%
10.0 1
 
1.1%
0.0 9
9.8%

지상층수
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
80 
0
12 

Length

Max length4
Median length4
Mean length3.6086957
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> 80
87.0%
0 12
 
13.0%

Length

2024-05-11T15:10:32.354799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:32.565718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
87.0%
0 12
 
13.0%

지하층수
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
80 
0
12 

Length

Max length4
Median length4
Mean length3.6086957
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> 80
87.0%
0 12
 
13.0%

Length

2024-05-11T15:10:32.825866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:33.010231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
87.0%
0 12
 
13.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

통로너비
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
81 
0
11 

Length

Max length4
Median length4
Mean length3.6413043
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> 81
88.0%
0 11
 
12.0%

Length

2024-05-11T15:10:33.192518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:33.358878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
88.0%
0 11
 
12.0%

조명시설조도
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
81 
0
11 

Length

Max length4
Median length4
Mean length3.6413043
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> 81
88.0%
0 11
 
12.0%

Length

2024-05-11T15:10:33.509845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:33.655974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
88.0%
0 11
 
12.0%

노래방실수
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
81 
0
11 

Length

Max length4
Median length4
Mean length3.6413043
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> 81
88.0%
0 11
 
12.0%

Length

2024-05-11T15:10:33.807419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:33.957757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
88.0%
0 11
 
12.0%

청소년실수
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
81 
0
11 

Length

Max length4
Median length4
Mean length3.6413043
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> 81
88.0%
0 11
 
12.0%

Length

2024-05-11T15:10:34.128007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:34.277122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
88.0%
0 11
 
12.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

총게임기수
Categorical

Distinct2
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size868.0 B
<NA>
81 
0
11 

Length

Max length4
Median length4
Mean length3.6413043
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> 81
88.0%
0 11
 
12.0%

Length

2024-05-11T15:10:34.466250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:10:34.645824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 81
88.0%
0 11
 
12.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing92
Missing (%)100.0%
Memory size960.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03120000CDFF324109201500000120150203<NA>3폐업3폐업20200407<NA><NA><NA>02-312-4966<NA><NA>서울특별시 서대문구 대현동 **-*번지서울특별시 서대문구 신촌로 *** (대현동)3766보명프로2020-04-07 10:34:09U2020-04-09 02:40:00.0<NA>195124.438236450532.009946대중문화예술기획업유통관련업<NA><NA>모델에이전시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13120000CDFF324109201500000220150217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 충정로*가 **-*번지 *층서울특별시 서대문구 경기대로 ** (충정로*가)3737(주)케이툰이앤엠코리아2015-05-08 11:38:31I2018-08-31 23:59:59.0<NA>196585.072291451015.034957대중문화예술기획업유통관련업<NA><NA>국내외 연예인매니지먼트, 연예대행<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23120000CDFF324109201500000320150515<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 ***-*번지서울특별시 서대문구 가재울미래로 *, ***동 ****호 (남가좌동, DMC파크뷰자이)3711포엠 엔터테인먼트(Poem entertainment)2015-12-31 15:59:18I2018-08-31 23:59:59.0<NA>192726.0451998.0대중문화예술기획업유통관련업<NA><NA>음반제작,작곡,공연기획,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>
33120000CDFF324109201500000420150604<NA>1영업/정상13영업중<NA><NA><NA><NA>02-334-1092<NA><NA>서울특별시 서대문구 연희동 ***-*번지서울특별시 서대문구 연희로**가길 **, ***호 (연희동)3707탑플랜엔터테인먼트2015-06-04 13:09:13I2018-08-31 23:59:59.0<NA>193629.174118451658.943982대중문화예술기획업유통관련업<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>
43120000CDFF324109201500000520150604<NA>1영업/정상13영업중<NA><NA><NA><NA>02-334-1092<NA><NA>서울특별시 서대문구 연희동 ***-*번지서울특별시 서대문구 연희로**가길 ** (연희동)3707주식회사 탑플랜엔터테인먼트2015-06-04 15:22:19I2018-08-31 23:59:59.0<NA>193629.174118451658.943982대중문화예술기획업유통관련업<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>
53120000CDFF324109201500000620150616<NA>3폐업3폐업20180104<NA><NA><NA>070-4242-4534<NA><NA>서울특별시 서대문구 창천동 **-**번지 B*서울특별시 서대문구 연세로*길 **-*, B*층 (창천동)3789휴먼게이트2018-01-04 15:30:55I2018-08-31 23:59:59.0<NA>194195.286481450491.550708대중문화예술기획업유통관련업<NA><NA>매니지먼트, 공연기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63120000CDFF324109201500000720150623<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 ***번지 요진주상복합아파트서울특별시 서대문구 수색로 ***, ****호 (북가좌동, 요진주상복합아파트)3709(주)마임엔터테인먼트2019-07-22 13:00:57U2019-07-24 02:40:00.0<NA>191836.275479452295.332829대중문화예술기획업유통관련업<NA><NA>엔터테인먼트,연예대행업,이벤트,음반제작 및 기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73120000CDFF324109201500000820150722<NA>5제외/삭제/전출15전출20221130<NA><NA><NA>070-7525-2112<NA><NA>서울특별시 서대문구 연희동 ***-** *층서울특별시 서대문구 연희로 **-**, *층 (연희동)120110주식회사 쇼플러스엔터테인먼트2022-11-30 17:41:06U2021-11-02 00:02:00.0<NA>193686.789361451285.244785<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83120000CDFF324109201500000920150722<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 ***-* 드리밍아파트 ***호서울특별시 서대문구 홍제천로 ***, ***호 (연희동, 드리밍아파트 )3660캐스팅코리아2020-09-01 10:14:02U2020-09-03 02:40:00.0<NA>194237.119272453000.605415대중문화예술기획업유통관련업<NA><NA>모델에이전시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93120000CDFF324109201500001020150724<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 ***번지 *층서울특별시 서대문구 신촌로*안길 **, *층 (창천동)3783디오니2015-07-24 17:26:32I2018-08-31 23:59:59.0<NA>193823.623646450800.822632대중문화예술기획업유통관련업<NA><NA>연예인 매니지먼트, 에이전시<NA><NA><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
823120000CDFF32410920230000022023-08-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 대현동 ***-** 현대캠퍼빌서울특별시 서대문구 신촌역로 **, 현대캠퍼빌 *층 ***호 (대현동)3780어절씨구 반지하 블루스2023-08-01 13:28:57I2022-12-08 00:03:00.0<NA>194842.291233450666.51031<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833120000CDFF32410920230000032023-09-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 **-**서울특별시 서대문구 연세로*길 **, *층 (창천동)3789쿱사운드2023-09-07 09:09:11I2022-12-09 00:09:00.0<NA>194220.096567450573.784039<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843120000CDFF32410920230000042023-09-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 **-** 용빌리지서울특별시 서대문구 연세로*나길 **, 용빌리지 (창천동)3789루트레이블2023-09-25 16:07:01I2022-12-08 22:07:00.0<NA>194215.762176450533.980992<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853120000CDFF32410920230000052023-10-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 대현동 **-* 메르체쇼핑몰서울특별시 서대문구 이화여대길 **, 메르체쇼핑몰 (대현동)3766(주)저스트절크2023-10-12 09:15:38I2022-10-30 23:04:00.0<NA>195074.388923450756.225856<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863120000CDFF32410920230000062023-11-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 ***-** 유진상가, 유진아파트,공유캠퍼스서울특별시 서대문구 통일로 ***, 유진상가, 유진아파트,공유캠퍼스 ***호 (홍제동)3628(주)아울리2023-11-22 17:22:19I2022-10-31 22:04:00.0<NA>194850.361025454344.432517<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873120000CDFF32410920240000012024-01-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 ***-* 경교빌딩서울특별시 서대문구 연희로 ***, 경교빌딩 ***호 (연희동)3724왓유니드위갓주식회사2024-01-25 09:53:39I2023-11-30 22:07:00.0<NA>193967.090218451803.554668<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
883120000CDFF32410920240000022021-06-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 ***-*서울특별시 서대문구 신촌로 **, *층 ****호 (창천동)3785세라뮤직2024-04-03 09:04:41U2023-12-04 00:05:00.0<NA>193712.476984450637.010875<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
893120000CDFF32410920240000032020-06-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 ***-** 현빌딩서울특별시 서대문구 연희로 **-**, 현빌딩 *층 (연희동)3708주식회사 이고그룹2024-04-23 19:55:49U2023-12-03 22:05:00.0<NA>193700.718013451535.237246<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
903120000CDFF32410920240000042023-02-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북아현동 *-**서울특별시 서대문구 북아현로**길 **-*, *층 (북아현동)3750주식회사 아트앤컬트코리아2024-04-30 17:33:21I2023-12-05 00:02:00.0<NA>196092.743236451128.462264<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
913120000CDFF32410920240000052024-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA>0221356226<NA><NA>서울특별시 서대문구 연희동 ***-**서울특별시 서대문구 동교로 ***, *층 (연희동)3716주식회사 크리에이터버스2024-05-08 17:08:33I2023-12-04 23:00:00.0<NA>193558.675809451431.796585<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>