Overview

Dataset statistics

Number of variables56
Number of observations99
Missing cells2622
Missing cells (%)47.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.4 KiB
Average record size in memory490.3 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
Author중구
URLhttps://data.seoul.go.kr/dataList/OA-17193/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (89.7%)Imbalance
휴업종료일자 is highly imbalanced (89.7%)Imbalance
인허가취소일자 has 99 (100.0%) missing valuesMissing
폐업일자 has 78 (78.8%) missing valuesMissing
재개업일자 has 99 (100.0%) missing valuesMissing
전화번호 has 74 (74.7%) missing valuesMissing
소재지면적 has 99 (100.0%) missing valuesMissing
소재지우편번호 has 99 (100.0%) missing valuesMissing
업태구분명 has 99 (100.0%) missing valuesMissing
주변환경명 has 99 (100.0%) missing valuesMissing
제작취급품목내용 has 47 (47.5%) missing valuesMissing
시설면적 has 47 (47.5%) missing valuesMissing
건물용도명 has 99 (100.0%) missing valuesMissing
비상계단여부 has 99 (100.0%) missing valuesMissing
비상구여부 has 99 (100.0%) missing valuesMissing
자동환기여부 has 99 (100.0%) missing valuesMissing
청소년실여부 has 99 (100.0%) missing valuesMissing
특수조명여부 has 99 (100.0%) missing valuesMissing
방음시설여부 has 99 (100.0%) missing valuesMissing
비디오재생기명 has 99 (100.0%) missing valuesMissing
조명시설유무 has 99 (100.0%) missing valuesMissing
음향시설여부 has 99 (100.0%) missing valuesMissing
편의시설여부 has 99 (100.0%) missing valuesMissing
소방시설여부 has 99 (100.0%) missing valuesMissing
기존게임업외업종명 has 99 (100.0%) missing valuesMissing
제공게임물명 has 99 (100.0%) missing valuesMissing
공연장형태구분명 has 99 (100.0%) missing valuesMissing
품목명 has 99 (100.0%) missing valuesMissing
최초등록시점 has 99 (100.0%) missing valuesMissing
지역구분명 has 99 (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 46 (46.5%) zerosZeros

Reproduction

Analysis started2024-05-11 06:21:05.318055
Analysis finished2024-05-11 06:21:06.542138
Duration1.22 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
3010000
99 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3010000
2nd row3010000
3rd row3010000
4th row3010000
5th row3010000

Common Values

ValueCountFrequency (%)
3010000 99
100.0%

Length

2024-05-11T15:21:06.643043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:06.793985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3010000 99
100.0%

관리번호
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-05-11T15:21:07.065820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1980
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

Unique99 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000002
3rd rowCDFF3241092015000003
4th rowCDFF3241092015000004
5th rowCDFF3241092015000005
ValueCountFrequency (%)
cdff3241092015000001 1
 
1.0%
cdff3241092020000014 1
 
1.0%
cdff3241092022000008 1
 
1.0%
cdff3241092022000007 1
 
1.0%
cdff3241092022000006 1
 
1.0%
cdff3241092022000005 1
 
1.0%
cdff3241092022000004 1
 
1.0%
cdff3241092022000003 1
 
1.0%
cdff3241092022000002 1
 
1.0%
cdff3241092022000001 1
 
1.0%
Other values (89) 89
89.9%
2024-05-11T15:21:07.648373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 672
33.9%
2 291
14.7%
1 204
 
10.3%
F 198
 
10.0%
3 126
 
6.4%
9 122
 
6.2%
4 117
 
5.9%
C 99
 
5.0%
D 99
 
5.0%
5 22
 
1.1%
Other values (3) 30
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1584
80.0%
Uppercase Letter 396
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 672
42.4%
2 291
18.4%
1 204
 
12.9%
3 126
 
8.0%
9 122
 
7.7%
4 117
 
7.4%
5 22
 
1.4%
6 13
 
0.8%
8 9
 
0.6%
7 8
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 198
50.0%
C 99
25.0%
D 99
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1584
80.0%
Latin 396
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 672
42.4%
2 291
18.4%
1 204
 
12.9%
3 126
 
8.0%
9 122
 
7.7%
4 117
 
7.4%
5 22
 
1.4%
6 13
 
0.8%
8 9
 
0.6%
7 8
 
0.5%
Latin
ValueCountFrequency (%)
F 198
50.0%
C 99
25.0%
D 99
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 672
33.9%
2 291
14.7%
1 204
 
10.3%
F 198
 
10.0%
3 126
 
6.4%
9 122
 
6.2%
4 117
 
5.9%
C 99
 
5.0%
D 99
 
5.0%
5 22
 
1.1%
Other values (3) 30
 
1.5%

인허가일자
Date

Distinct90
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2015-02-06 00:00:00
Maximum2024-04-18 00:00:00
2024-05-11T15:21:07.888367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:08.121994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
1
76 
3
11 
5
10 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 76
76.8%
3 11
 
11.1%
5 10
 
10.1%
2 2
 
2.0%

Length

2024-05-11T15:21:08.364116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:08.541277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 76
76.8%
3 11
 
11.1%
5 10
 
10.1%
2 2
 
2.0%

영업상태명
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
영업/정상
76 
폐업
11 
제외/삭제/전출
10 
휴업
 
2

Length

Max length8
Median length5
Mean length4.9090909
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 76
76.8%
폐업 11
 
11.1%
제외/삭제/전출 10
 
10.1%
휴업 2
 
2.0%

Length

2024-05-11T15:21:08.755931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:08.985399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 76
76.8%
폐업 11
 
11.1%
제외/삭제/전출 10
 
10.1%
휴업 2
 
2.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
13
76 
3
11 
15
10 
2
 
2

Length

Max length2
Median length2
Mean length1.8686869
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 76
76.8%
3 11
 
11.1%
15 10
 
10.1%
2 2
 
2.0%

Length

2024-05-11T15:21:09.163752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:09.316832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 76
76.8%
3 11
 
11.1%
15 10
 
10.1%
2 2
 
2.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
영업중
76 
폐업
11 
전출
10 
휴업
 
2

Length

Max length3
Median length3
Mean length2.7676768
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 76
76.8%
폐업 11
 
11.1%
전출 10
 
10.1%
휴업 2
 
2.0%

Length

2024-05-11T15:21:09.527563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:09.731522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 76
76.8%
폐업 11
 
11.1%
전출 10
 
10.1%
휴업 2
 
2.0%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)90.5%
Missing78
Missing (%)78.8%
Memory size924.0 B
Minimum2017-09-27 00:00:00
Maximum2023-11-16 00:00:00
2024-05-11T15:21:09.932710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:10.144077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
97 
20160708
 
1
20200808
 
1

Length

Max length8
Median length4
Mean length4.0808081
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
98.0%
20160708 1
 
1.0%
20200808 1
 
1.0%

Length

2024-05-11T15:21:10.400901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:10.659690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
98.0%
20160708 1
 
1.0%
20200808 1
 
1.0%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
<NA>
97 
20200708
 
1
20200930
 
1

Length

Max length8
Median length4
Mean length4.0808081
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 97
98.0%
20200708 1
 
1.0%
20200930 1
 
1.0%

Length

2024-05-11T15:21:11.329475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:11.550040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 97
98.0%
20200708 1
 
1.0%
20200930 1
 
1.0%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

전화번호
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing74
Missing (%)74.7%
Memory size924.0 B
2024-05-11T15:21:11.925278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.8
Min length8

Characters and Unicode

Total characters295
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

Unique25 ?
Unique (%)100.0%

Sample

1st row070-7797-8866
2nd row547-6893
3rd row02-2236-1692
4th row070-4119-5698
5th row02-3143-7709
ValueCountFrequency (%)
070-7797-8866 1
 
4.0%
02-2057-7942 1
 
4.0%
02-517-0880 1
 
4.0%
02-6081-5549 1
 
4.0%
02-3142-0888 1
 
4.0%
02-397-9074 1
 
4.0%
02-2237-1020 1
 
4.0%
0222388433 1
 
4.0%
02-397-9003 1
 
4.0%
070-8671-3028 1
 
4.0%
Other values (15) 15
60.0%
2024-05-11T15:21:13.167577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 53
18.0%
- 47
15.9%
2 43
14.6%
7 35
11.9%
3 21
 
7.1%
9 19
 
6.4%
8 18
 
6.1%
1 16
 
5.4%
5 16
 
5.4%
6 15
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 248
84.1%
Dash Punctuation 47
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 53
21.4%
2 43
17.3%
7 35
14.1%
3 21
 
8.5%
9 19
 
7.7%
8 18
 
7.3%
1 16
 
6.5%
5 16
 
6.5%
6 15
 
6.0%
4 12
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 295
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 53
18.0%
- 47
15.9%
2 43
14.6%
7 35
11.9%
3 21
 
7.1%
9 19
 
6.4%
8 18
 
6.1%
1 16
 
5.4%
5 16
 
5.4%
6 15
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 295
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 53
18.0%
- 47
15.9%
2 43
14.6%
7 35
11.9%
3 21
 
7.1%
9 19
 
6.4%
8 18
 
6.1%
1 16
 
5.4%
5 16
 
5.4%
6 15
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

지번주소
Text

Distinct86
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-05-11T15:21:13.652348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length31
Mean length23.666667
Min length16

Characters and Unicode

Total characters2343
Distinct characters167
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

Unique76 ?
Unique (%)76.8%

Sample

1st row서울특별시 중구 신당동 ***-****번지
2nd row서울특별시 중구 신당동 ***-***번지
3rd row서울특별시 중구 신당동 ***-****번지
4th row서울특별시 중구 신당동 ***-**번지
5th row서울특별시 중구 회현동*가 **-**번지
ValueCountFrequency (%)
서울특별시 99
21.6%
중구 99
21.6%
67
14.6%
번지 31
 
6.8%
신당동 29
 
6.3%
장충동*가 11
 
2.4%
충무로*가 10
 
2.2%
을지로*가 8
 
1.7%
다동 4
 
0.9%
필동*가 4
 
0.9%
Other values (71) 96
21.0%
2024-05-11T15:21:14.310217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 424
18.1%
411
17.5%
시 103
 
4.4%
서 100
 
4.3%
별 100
 
4.3%
중 100
 
4.3%
구 100
 
4.3%
울 100
 
4.3%
특 99
 
4.2%
동 81
 
3.5%
Other values (157) 725
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1383
59.0%
Other Punctuation 426
 
18.2%
Space Separator 411
 
17.5%
Dash Punctuation 77
 
3.3%
Lowercase Letter 26
 
1.1%
Uppercase Letter 11
 
0.5%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 103
 
7.4%
서 100
 
7.2%
별 100
 
7.2%
중 100
 
7.2%
구 100
 
7.2%
울 100
 
7.2%
특 99
 
7.2%
동 81
 
5.9%
가 49
 
3.5%
지 47
 
3.4%
Other values (128) 504
36.4%
Lowercase Letter
ValueCountFrequency (%)
e 6
23.1%
n 5
19.2%
a 3
11.5%
i 3
11.5%
t 2
 
7.7%
r 2
 
7.7%
c 2
 
7.7%
h 1
 
3.8%
s 1
 
3.8%
l 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
C 2
18.2%
F 1
9.1%
D 1
9.1%
L 1
9.1%
N 1
9.1%
R 1
9.1%
P 1
9.1%
M 1
9.1%
O 1
9.1%
B 1
9.1%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
5 1
33.3%
0 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 424
99.5%
, 2
 
0.5%
Space Separator
ValueCountFrequency (%)
411
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 77
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1383
59.0%
Common 923
39.4%
Latin 37
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 103
 
7.4%
서 100
 
7.2%
별 100
 
7.2%
중 100
 
7.2%
구 100
 
7.2%
울 100
 
7.2%
특 99
 
7.2%
동 81
 
5.9%
가 49
 
3.5%
지 47
 
3.4%
Other values (128) 504
36.4%
Latin
ValueCountFrequency (%)
e 6
16.2%
n 5
13.5%
a 3
 
8.1%
i 3
 
8.1%
C 2
 
5.4%
t 2
 
5.4%
r 2
 
5.4%
c 2
 
5.4%
F 1
 
2.7%
h 1
 
2.7%
Other values (10) 10
27.0%
Common
ValueCountFrequency (%)
* 424
45.9%
411
44.5%
- 77
 
8.3%
( 3
 
0.3%
) 3
 
0.3%
, 2
 
0.2%
8 1
 
0.1%
5 1
 
0.1%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1383
59.0%
ASCII 960
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 424
44.2%
411
42.8%
- 77
 
8.0%
e 6
 
0.6%
n 5
 
0.5%
a 3
 
0.3%
( 3
 
0.3%
) 3
 
0.3%
i 3
 
0.3%
, 2
 
0.2%
Other values (19) 23
 
2.4%
Hangul
ValueCountFrequency (%)
시 103
 
7.4%
서 100
 
7.2%
별 100
 
7.2%
중 100
 
7.2%
구 100
 
7.2%
울 100
 
7.2%
특 99
 
7.2%
동 81
 
5.9%
가 49
 
3.5%
지 47
 
3.4%
Other values (128) 504
36.4%

도로명주소
Text

Distinct90
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-05-11T15:21:14.739930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length41
Mean length35.282828
Min length24

Characters and Unicode

Total characters3493
Distinct characters207
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)83.8%

Sample

1st row서울특별시 중구 동호로**길 ***, A동 ***호 (신당동)
2nd row서울특별시 중구 다산로 **, *층 (신당동)
3rd row서울특별시 중구 동호로**길 ***-**, A동 ***호 (신당동, 도현블랑빌)
4th row서울특별시 중구 다산로**길 **, ***호 (신당동, 비컨힐)
5th row서울특별시 중구 소공로*길 ** (회현동*가)
ValueCountFrequency (%)
100
14.5%
서울특별시 99
14.3%
중구 99
14.3%
층 55
 
8.0%
호 42
 
6.1%
신당동 29
 
4.2%
장충동*가 11
 
1.6%
충무로*가 10
 
1.4%
다산로 9
 
1.3%
을지로*가 8
 
1.2%
Other values (144) 229
33.1%
2024-05-11T15:21:15.447889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 597
17.1%
592
16.9%
, 119
 
3.4%
로 115
 
3.3%
동 111
 
3.2%
서 107
 
3.1%
시 103
 
2.9%
) 102
 
2.9%
구 102
 
2.9%
( 102
 
2.9%
Other values (197) 1443
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1895
54.3%
Other Punctuation 716
 
20.5%
Space Separator 592
 
16.9%
Close Punctuation 102
 
2.9%
Open Punctuation 102
 
2.9%
Uppercase Letter 27
 
0.8%
Lowercase Letter 26
 
0.7%
Dash Punctuation 20
 
0.6%
Decimal Number 12
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 115
 
6.1%
동 111
 
5.9%
서 107
 
5.6%
시 103
 
5.4%
구 102
 
5.4%
중 101
 
5.3%
울 101
 
5.3%
특 99
 
5.2%
별 99
 
5.2%
호 66
 
3.5%
Other values (161) 891
47.0%
Uppercase Letter
ValueCountFrequency (%)
B 5
18.5%
A 4
14.8%
C 3
11.1%
L 2
 
7.4%
M 2
 
7.4%
P 2
 
7.4%
F 1
 
3.7%
D 1
 
3.7%
N 1
 
3.7%
R 1
 
3.7%
Other values (5) 5
18.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
23.1%
n 5
19.2%
a 3
11.5%
i 3
11.5%
c 2
 
7.7%
r 2
 
7.7%
t 2
 
7.7%
h 1
 
3.8%
s 1
 
3.8%
l 1
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 5
41.7%
0 3
25.0%
3 3
25.0%
6 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 597
83.4%
, 119
 
16.6%
Space Separator
ValueCountFrequency (%)
592
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1895
54.3%
Common 1545
44.2%
Latin 53
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 115
 
6.1%
동 111
 
5.9%
서 107
 
5.6%
시 103
 
5.4%
구 102
 
5.4%
중 101
 
5.3%
울 101
 
5.3%
특 99
 
5.2%
별 99
 
5.2%
호 66
 
3.5%
Other values (161) 891
47.0%
Latin
ValueCountFrequency (%)
e 6
 
11.3%
n 5
 
9.4%
B 5
 
9.4%
A 4
 
7.5%
C 3
 
5.7%
a 3
 
5.7%
i 3
 
5.7%
L 2
 
3.8%
c 2
 
3.8%
M 2
 
3.8%
Other values (15) 18
34.0%
Common
ValueCountFrequency (%)
* 597
38.6%
592
38.3%
, 119
 
7.7%
) 102
 
6.6%
( 102
 
6.6%
- 20
 
1.3%
1 5
 
0.3%
0 3
 
0.2%
3 3
 
0.2%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1895
54.3%
ASCII 1598
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 597
37.4%
592
37.0%
, 119
 
7.4%
) 102
 
6.4%
( 102
 
6.4%
- 20
 
1.3%
e 6
 
0.4%
n 5
 
0.3%
1 5
 
0.3%
B 5
 
0.3%
Other values (26) 45
 
2.8%
Hangul
ValueCountFrequency (%)
로 115
 
6.1%
동 111
 
5.9%
서 107
 
5.6%
시 103
 
5.4%
구 102
 
5.4%
중 101
 
5.3%
울 101
 
5.3%
특 99
 
5.2%
별 99
 
5.2%
호 66
 
3.5%
Other values (161) 891
47.0%

도로명우편번호
Real number (ℝ)

Distinct59
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4572.7677
Minimum4508
Maximum4637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T15:21:15.759247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4508
5-th percentile4516
Q14536.5
median4582
Q34605
95-th percentile4629
Maximum4637
Range129
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation37.733985
Coefficient of variation (CV)0.008251892
Kurtosis-1.3250789
Mean4572.7677
Median Absolute Deviation (MAD)32
Skewness-0.10414427
Sum452704
Variance1423.8536
MonotonicityNot monotonic
2024-05-11T15:21:16.019015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4516 5
 
5.1%
4536 5
 
5.1%
4595 4
 
4.0%
4597 4
 
4.0%
4617 4
 
4.0%
4585 4
 
4.0%
4521 3
 
3.0%
4605 3
 
3.0%
4555 3
 
3.0%
4594 3
 
3.0%
Other values (49) 61
61.6%
ValueCountFrequency (%)
4508 1
 
1.0%
4511 1
 
1.0%
4516 5
5.1%
4518 1
 
1.0%
4519 2
 
2.0%
4520 1
 
1.0%
4521 3
3.0%
4522 2
 
2.0%
4526 1
 
1.0%
4532 2
 
2.0%
ValueCountFrequency (%)
4637 1
1.0%
4635 1
1.0%
4631 1
1.0%
4630 1
1.0%
4629 2
2.0%
4627 1
1.0%
4625 1
1.0%
4623 1
1.0%
4622 1
1.0%
4619 1
1.0%

사업장명
Text

Distinct97
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-05-11T15:21:16.424520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length18
Mean length10.393939
Min length2

Characters and Unicode

Total characters1029
Distinct characters218
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)96.0%

Sample

1st row(주)픽시엔터테인먼트
2nd row주식회사 피엘종합기획
3rd row버튼숲 이엔티
4th row주식회사 엔터테인먼트 통(TONG)
5th row주식회사 숨엔터테인먼트
ValueCountFrequency (%)
주식회사 48
29.8%
hgmc 2
 
1.2%
엔터테인먼트 2
 
1.2%
it센터 2
 
1.2%
매니지먼트 2
 
1.2%
레이블홀더 2
 
1.2%
management(리벨리온 1
 
0.6%
미디어샘 1
 
0.6%
주)글로우엔터테인먼트 1
 
0.6%
마이비즈니스플랜 1
 
0.6%
Other values (99) 99
61.5%
2024-05-11T15:21:17.201729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 80
 
7.8%
62
 
6.0%
사 58
 
5.6%
회 51
 
5.0%
식 49
 
4.8%
) 36
 
3.5%
( 36
 
3.5%
트 32
 
3.1%
이 29
 
2.8%
인 23
 
2.2%
Other values (208) 573
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 811
78.8%
Space Separator 62
 
6.0%
Lowercase Letter 56
 
5.4%
Close Punctuation 36
 
3.5%
Open Punctuation 36
 
3.5%
Uppercase Letter 24
 
2.3%
Decimal Number 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 80
 
9.9%
사 58
 
7.2%
회 51
 
6.3%
식 49
 
6.0%
트 32
 
3.9%
이 29
 
3.6%
인 23
 
2.8%
터 22
 
2.7%
먼 20
 
2.5%
엔 20
 
2.5%
Other values (168) 427
52.7%
Lowercase Letter
ValueCountFrequency (%)
a 8
14.3%
e 7
12.5%
n 5
8.9%
r 4
 
7.1%
s 4
 
7.1%
l 4
 
7.1%
o 4
 
7.1%
m 3
 
5.4%
d 3
 
5.4%
i 3
 
5.4%
Other values (8) 11
19.6%
Uppercase Letter
ValueCountFrequency (%)
T 3
12.5%
G 3
12.5%
M 3
12.5%
I 2
 
8.3%
H 2
 
8.3%
C 2
 
8.3%
B 1
 
4.2%
R 1
 
4.2%
F 1
 
4.2%
A 1
 
4.2%
Other values (5) 5
20.8%
Decimal Number
ValueCountFrequency (%)
3 1
25.0%
8 1
25.0%
2 1
25.0%
0 1
25.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 810
78.7%
Common 138
 
13.4%
Latin 80
 
7.8%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 80
 
9.9%
사 58
 
7.2%
회 51
 
6.3%
식 49
 
6.0%
트 32
 
4.0%
이 29
 
3.6%
인 23
 
2.8%
터 22
 
2.7%
먼 20
 
2.5%
엔 20
 
2.5%
Other values (167) 426
52.6%
Latin
ValueCountFrequency (%)
a 8
 
10.0%
e 7
 
8.8%
n 5
 
6.2%
r 4
 
5.0%
s 4
 
5.0%
l 4
 
5.0%
o 4
 
5.0%
T 3
 
3.8%
G 3
 
3.8%
M 3
 
3.8%
Other values (23) 35
43.8%
Common
ValueCountFrequency (%)
62
44.9%
) 36
26.1%
( 36
26.1%
3 1
 
0.7%
8 1
 
0.7%
2 1
 
0.7%
0 1
 
0.7%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 810
78.7%
ASCII 218
 
21.2%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 80
 
9.9%
사 58
 
7.2%
회 51
 
6.3%
식 49
 
6.0%
트 32
 
4.0%
이 29
 
3.6%
인 23
 
2.8%
터 22
 
2.7%
먼 20
 
2.5%
엔 20
 
2.5%
Other values (167) 426
52.6%
ASCII
ValueCountFrequency (%)
62
28.4%
) 36
16.5%
( 36
16.5%
a 8
 
3.7%
e 7
 
3.2%
n 5
 
2.3%
r 4
 
1.8%
s 4
 
1.8%
l 4
 
1.8%
o 4
 
1.8%
Other values (30) 48
22.0%
CJK
ValueCountFrequency (%)
美 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2015-04-17 08:53:55
Maximum2024-04-18 09:28:04
2024-05-11T15:21:17.485922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:17.788907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
I
68 
U
31 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 68
68.7%
U 31
31.3%

Length

2024-05-11T15:21:18.043792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:18.212140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 68
68.7%
u 31
31.3%

데이터갱신일자
Date

Distinct77
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:05:00
2024-05-11T15:21:18.420407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:18.681513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

좌표정보(X)
Real number (ℝ)

Distinct82
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199665.61
Minimum197119.56
Maximum201975.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T15:21:18.931023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197119.56
5-th percentile197359.99
Q1198531.69
median199810.59
Q3200750.46
95-th percentile201654.68
Maximum201975.34
Range4855.7812
Interquartile range (IQR)2218.7647

Descriptive statistics

Standard deviation1347.5143
Coefficient of variation (CV)0.0067488552
Kurtosis-1.1430108
Mean199665.61
Median Absolute Deviation (MAD)1168.0852
Skewness-0.19708316
Sum19766896
Variance1815794.8
MonotonicityNot monotonic
2024-05-11T15:21:19.238132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
200154.692915213 3
 
3.0%
200382.183303279 3
 
3.0%
200613.510297669 3
 
3.0%
200750.455125653 3
 
3.0%
198519.736197762 2
 
2.0%
197346.664858178 2
 
2.0%
201400.547521448 2
 
2.0%
198543.644700379 2
 
2.0%
198170.661094714 2
 
2.0%
198783.056789386 2
 
2.0%
Other values (72) 75
75.8%
ValueCountFrequency (%)
197119.562141402 1
1.0%
197204.402975748 1
1.0%
197254.306939924 1
1.0%
197346.664858178 2
2.0%
197361.474662827 1
1.0%
197480.688962846 1
1.0%
197554.559528663 1
1.0%
197620.676444642 1
1.0%
197799.544196134 2
2.0%
197895.491160507 1
1.0%
ValueCountFrequency (%)
201975.343368026 1
1.0%
201942.576872502 1
1.0%
201937.814426024 1
1.0%
201823.908977364 1
1.0%
201663.007136614 1
1.0%
201653.75549585 1
1.0%
201563.066569738 1
1.0%
201421.344818213 1
1.0%
201400.547521448 2
2.0%
201118.545809032 1
1.0%

좌표정보(Y)
Real number (ℝ)

Distinct82
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450964.59
Minimum449530.93
Maximum452076.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T15:21:19.494539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449530.93
5-th percentile449638.82
Q1450574.63
median451049.58
Q3451463.85
95-th percentile451817.52
Maximum452076.82
Range2545.8902
Interquartile range (IQR)889.22042

Descriptive statistics

Standard deviation663.595
Coefficient of variation (CV)0.0014715013
Kurtosis-0.48536515
Mean450964.59
Median Absolute Deviation (MAD)458.85761
Skewness-0.58361655
Sum44645494
Variance440358.32
MonotonicityNot monotonic
2024-05-11T15:21:19.754065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449919.627798891 3
 
3.0%
450908.382396408 3
 
3.0%
451817.515366883 3
 
3.0%
449638.824308081 3
 
3.0%
451570.324241735 2
 
2.0%
451164.44975357 2
 
2.0%
451250.544596432 2
 
2.0%
451049.580620366 2
 
2.0%
451256.151029714 2
 
2.0%
450732.471972874 2
 
2.0%
Other values (72) 75
75.8%
ValueCountFrequency (%)
449530.928438942 1
 
1.0%
449562.218888591 1
 
1.0%
449636.902522046 1
 
1.0%
449638.824308081 3
3.0%
449687.143213423 1
 
1.0%
449703.239755874 1
 
1.0%
449801.015702833 1
 
1.0%
449919.627798891 3
3.0%
449931.557552267 1
 
1.0%
450052.301315633 1
 
1.0%
ValueCountFrequency (%)
452076.818664092 1
 
1.0%
451988.74776662 1
 
1.0%
451931.338747571 1
 
1.0%
451827.973207366 1
 
1.0%
451817.515366883 3
3.0%
451808.098341971 2
2.0%
451775.169253151 2
2.0%
451760.130894379 1
 
1.0%
451756.524490375 1
 
1.0%
451739.707351361 1
 
1.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
대중문화예술기획업
52 
<NA>
47 

Length

Max length9
Median length9
Mean length6.6262626
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 52
52.5%
<NA> 47
47.5%

Length

2024-05-11T15:21:19.993942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:20.208849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 52
52.5%
na 47
47.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
유통관련업
52 
<NA>
47 

Length

Max length5
Median length5
Mean length4.5252525
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 52
52.5%
<NA> 47
47.5%

Length

2024-05-11T15:21:20.512050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:20.818603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 52
52.5%
na 47
47.5%

총층수
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
0
52 
<NA>
47 

Length

Max length4
Median length1
Mean length2.4242424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
52.5%
<NA> 47
47.5%

Length

2024-05-11T15:21:21.046494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:21.209461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
52.5%
na 47
47.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

제작취급품목내용
Text

MISSING 

Distinct36
Distinct (%)69.2%
Missing47
Missing (%)47.5%
Memory size924.0 B
2024-05-11T15:21:21.552805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length19
Mean length12.480769
Min length4

Characters and Unicode

Total characters649
Distinct characters95
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)57.7%

Sample

1st row엔터테인먼트,모델에이전시,영화제작
2nd row영화홍보,공연기획/매니지먼트
3rd row매니지먼트, 광고대행 등
4th row엔터테인먼트, 매니지먼트, 제작
5th row연예인대리, 공연기획
ValueCountFrequency (%)
매니지먼트 24
19.7%
및 9
 
7.4%
엔터테인먼트 9
 
7.4%
공연기획 6
 
4.9%
등 4
 
3.3%
공연 4
 
3.3%
연예 3
 
2.5%
광고대행 3
 
2.5%
제작 3
 
2.5%
가수 3
 
2.5%
Other values (48) 54
44.3%
2024-05-11T15:21:22.220464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
 
10.8%
트 42
 
6.5%
, 41
 
6.3%
먼 40
 
6.2%
매 31
 
4.8%
니 31
 
4.8%
지 30
 
4.6%
연 27
 
4.2%
제 17
 
2.6%
작 17
 
2.6%
Other values (85) 303
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 526
81.0%
Space Separator 70
 
10.8%
Other Punctuation 43
 
6.6%
Uppercase Letter 4
 
0.6%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 42
 
8.0%
먼 40
 
7.6%
매 31
 
5.9%
니 31
 
5.9%
지 30
 
5.7%
연 27
 
5.1%
제 17
 
3.2%
작 17
 
3.2%
공 17
 
3.2%
기 15
 
2.9%
Other values (76) 259
49.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
C 1
25.0%
V 1
25.0%
F 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 41
95.3%
/ 2
 
4.7%
Space Separator
ValueCountFrequency (%)
70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 526
81.0%
Common 119
 
18.3%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 42
 
8.0%
먼 40
 
7.6%
매 31
 
5.9%
니 31
 
5.9%
지 30
 
5.7%
연 27
 
5.1%
제 17
 
3.2%
작 17
 
3.2%
공 17
 
3.2%
기 15
 
2.9%
Other values (76) 259
49.2%
Common
ValueCountFrequency (%)
70
58.8%
, 41
34.5%
( 3
 
2.5%
) 3
 
2.5%
/ 2
 
1.7%
Latin
ValueCountFrequency (%)
T 1
25.0%
C 1
25.0%
V 1
25.0%
F 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 526
81.0%
ASCII 123
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
56.9%
, 41
33.3%
( 3
 
2.4%
) 3
 
2.4%
/ 2
 
1.6%
T 1
 
0.8%
C 1
 
0.8%
V 1
 
0.8%
F 1
 
0.8%
Hangul
ValueCountFrequency (%)
트 42
 
8.0%
먼 40
 
7.6%
매 31
 
5.9%
니 31
 
5.9%
지 30
 
5.7%
연 27
 
5.1%
제 17
 
3.2%
작 17
 
3.2%
공 17
 
3.2%
기 15
 
2.9%
Other values (76) 259
49.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)13.5%
Missing47
Missing (%)47.5%
Infinite0
Infinite (%)0.0%
Mean12.110192
Minimum0
Maximum215.69
Zeros46
Zeros (%)46.5%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-05-11T15:21:22.453971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile70.5235
Maximum215.69
Range215.69
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41.816212
Coefficient of variation (CV)3.4529767
Kurtosis16.740881
Mean12.110192
Median Absolute Deviation (MAD)0
Skewness4.0611828
Sum629.73
Variance1748.5956
MonotonicityNot monotonic
2024-05-11T15:21:22.685865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 46
46.5%
50.0 1
 
1.0%
30.07 1
 
1.0%
84.84 1
 
1.0%
215.69 1
 
1.0%
58.81 1
 
1.0%
190.32 1
 
1.0%
(Missing) 47
47.5%
ValueCountFrequency (%)
0.0 46
46.5%
30.07 1
 
1.0%
50.0 1
 
1.0%
58.81 1
 
1.0%
84.84 1
 
1.0%
190.32 1
 
1.0%
215.69 1
 
1.0%
ValueCountFrequency (%)
215.69 1
 
1.0%
190.32 1
 
1.0%
84.84 1
 
1.0%
58.81 1
 
1.0%
50.0 1
 
1.0%
30.07 1
 
1.0%
0.0 46
46.5%

지상층수
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
0
52 
<NA>
47 

Length

Max length4
Median length1
Mean length2.4242424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
52.5%
<NA> 47
47.5%

Length

2024-05-11T15:21:22.999204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:23.216788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
52.5%
na 47
47.5%

지하층수
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
0
52 
<NA>
47 

Length

Max length4
Median length1
Mean length2.4242424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
52.5%
<NA> 47
47.5%

Length

2024-05-11T15:21:23.441960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:23.706884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
52.5%
na 47
47.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

통로너비
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
0
52 
<NA>
47 

Length

Max length4
Median length1
Mean length2.4242424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
52.5%
<NA> 47
47.5%

Length

2024-05-11T15:21:23.942523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:24.199722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
52.5%
na 47
47.5%

조명시설조도
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
0
52 
<NA>
47 

Length

Max length4
Median length1
Mean length2.4242424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
52.5%
<NA> 47
47.5%

Length

2024-05-11T15:21:24.438800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:24.699101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
52.5%
na 47
47.5%

노래방실수
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
0
52 
<NA>
47 

Length

Max length4
Median length1
Mean length2.4242424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
52.5%
<NA> 47
47.5%

Length

2024-05-11T15:21:24.972709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:25.209552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
52.5%
na 47
47.5%

청소년실수
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
0
52 
<NA>
47 

Length

Max length4
Median length1
Mean length2.4242424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
52.5%
<NA> 47
47.5%

Length

2024-05-11T15:21:25.483604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:25.724809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
52.5%
na 47
47.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

총게임기수
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
0
52 
<NA>
47 

Length

Max length4
Median length1
Mean length2.4242424
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 52
52.5%
<NA> 47
47.5%

Length

2024-05-11T15:21:25.957222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:26.132547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 52
52.5%
na 47
47.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing99
Missing (%)100.0%
Memory size1023.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03010000CDFF324109201500000120150406<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7797-8866<NA><NA>서울특별시 중구 신당동 ***-****번지서울특별시 중구 동호로**길 ***, A동 ***호 (신당동)4600(주)픽시엔터테인먼트2015-04-17 08:53:55I2018-08-31 23:59:59.0<NA>200546.47715449636.902522대중문화예술기획업유통관련업0<NA>엔터테인먼트,모델에이전시,영화제작50.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
13010000CDFF324109201500000220150407<NA>1영업/정상13영업중<NA><NA><NA><NA>547-6893<NA><NA>서울특별시 중구 신당동 ***-***번지서울특별시 중구 다산로 **, *층 (신당동)4600주식회사 피엘종합기획2017-01-14 17:33:38I2018-08-31 23:59:59.0<NA>200548.395251449562.218889대중문화예술기획업유통관련업0<NA>영화홍보,공연기획/매니지먼트30.0700<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
23010000CDFF324109201500000320150514<NA>3폐업3폐업20191203<NA><NA><NA>02-2236-1692<NA><NA>서울특별시 중구 신당동 ***-****번지서울특별시 중구 동호로**길 ***-**, A동 ***호 (신당동, 도현블랑빌)4601버튼숲 이엔티2019-12-03 16:48:02U2019-12-05 02:40:00.0<NA>200471.141409449530.928439대중문화예술기획업유통관련업0<NA>매니지먼트, 광고대행 등84.8400<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
33010000CDFF324109201500000420150515<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4119-5698<NA><NA>서울특별시 중구 신당동 ***-**번지서울특별시 중구 다산로**길 **, ***호 (신당동, 비컨힐)4591주식회사 엔터테인먼트 통(TONG)2015-05-15 16:01:32I2018-08-31 23:59:59.0<NA>201118.545809450443.142183대중문화예술기획업유통관련업0<NA>엔터테인먼트, 매니지먼트, 제작0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
43010000CDFF324109201500000520150603<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3143-7709<NA><NA>서울특별시 중구 회현동*가 **-**번지서울특별시 중구 소공로*길 ** (회현동*가)4630주식회사 숨엔터테인먼트2015-06-03 15:20:02I2018-08-31 23:59:59.0<NA>198511.629543450544.361625대중문화예술기획업유통관련업0<NA>연예인대리, 공연기획0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
53010000CDFF324109201500000620150709<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7405-0755<NA><NA>서울특별시 중구 남대문로*가 ***번지서울특별시 중구 한강대로 ***, 지하*층 (남대문로*가, 서울스퀘어)4637블러섬랜드(Blossomland)2015-07-09 15:50:22I2018-08-31 23:59:59.0<NA>197620.676445450361.506112대중문화예술기획업유통관련업0<NA>연예보조서비스, 공연예술관련215.6900<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
63010000CDFF324109201500000720150714<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7725-3075<NA><NA>서울특별시 중구 충무로*가 **-*번지서울특별시 중구 명동*나길 *, B***호 (충무로*가)4536주식회사 엠쓰리디미디어아시아2017-05-04 14:18:18I2018-08-31 23:59:59.0<NA>198554.883419451001.44815대중문화예술기획업유통관련업0<NA>연예안 매니지먼트0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
73010000CDFF324109201500000820150727<NA>3폐업3폐업20200210<NA><NA><NA>02-6339-3940<NA><NA>서울특별시 중구 장충동*가 **-**번지서울특별시 중구 장충단로*나길 *, ***호 (장충동*가)4614주식회사 스위트파워2020-02-12 15:28:06U2020-02-14 02:40:00.0<NA>200664.64649451152.53476대중문화예술기획업유통관련업0<NA>연예 매니지먼트58.8100<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
83010000CDFF324109201500000920150730<NA>1영업/정상13영업중<NA><NA><NA><NA>02-734-5959<NA><NA>서울특별시 중구 신당동 ***-***번지서울특별시 중구 동호로**길 ***, *층 (신당동, 꼬레아트센터)4602주식회사 해라2015-07-30 17:54:01I2018-08-31 23:59:59.0<NA>200320.130945449931.557552대중문화예술기획업유통관련업0<NA>연예 매니지먼트0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
93010000CDFF324109201500001020150730<NA>2휴업2휴업<NA>2016070820200708<NA><NA><NA><NA>서울특별시 중구 묵정동 **-**번지서울특별시 중구 서애로*길 **, 지하*층 (묵정동)4619페어뮤직(Fair Music)2016-07-11 07:42:42I2018-08-31 23:59:59.0<NA>199947.921789450976.930606대중문화예술기획업유통관련업0<NA>연예 매니지먼트190.3200<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
893010000CDFF32410920230000112023-08-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 명동*가 *-*서울특별시 중구 명동길 **, *층 (명동*가)4537주식회사 에이치엘케이엔터테인먼트2023-08-14 13:15:36I2022-12-07 23:07:00.0<NA>198632.344539451275.551421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
903010000CDFF32410920230000122023-08-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6081-5549<NA><NA>서울특별시 중구 필동*가 **-**서울특별시 중구 퇴계로 ***-*, ***호 (필동*가)4625주식회사 라픽2023-08-14 18:03:52I2022-12-07 23:07:00.0<NA>199454.377476450980.500325<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
913010000CDFF32410920230000132023-11-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 저동*가 **-* 센트럴에쓰서울특별시 중구 퇴계로**길 **, 센트럴에쓰 *층 ***호 (저동*가)4555(주)한국문화사랑2023-11-28 17:35:33I2022-10-31 21:00:00.0<NA>199144.206303451235.603181<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
923010000CDFF32410920230000142023-07-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 신당동 ***-** 이안타워서울특별시 중구 다산로**길 **, 이안타워 *층 ***호 (신당동)4613주식회사 언더바고2023-11-30 16:26:05I2022-11-02 00:02:00.0<NA>200973.545958451031.72415<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
933010000CDFF32410920240000012015-07-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 만리동*가 **-* 하람휴서울특별시 중구 만리재로**길 *, 하람휴 *동 ***호 (만리동*가)4508주식회사 코리아매니지먼트그룹2024-01-24 16:01:50I2023-11-30 22:06:00.0<NA>197119.562141450461.079724<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
943010000CDFF32410920240000022020-11-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 황학동 **** 롯데캐슬베네치아서울특별시 중구 청계천로 ***, ***동 ****호 (황학동, 롯데캐슬베네치아)4572HGMC2024-02-01 13:09:04I2023-12-02 00:03:00.0<NA>201823.908977452076.818664<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
953010000CDFF32410920240000032019-11-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 순화동 *-* 순화빌딩서울특별시 중구 서소문로 **, 순화빌딩 **층 S****호 (순화동)4516(주)티엘씨2024-03-13 13:10:11I2023-12-02 23:05:00.0<NA>197346.664858451164.449754<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
963010000CDFF32410920240000042022-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로*가 **-**서울특별시 중구 충무로 **-*, ***호 (충무로*가)4555Rebellion management(리벨리온 매니지먼트)2024-03-15 13:05:48I2023-12-02 23:07:00.0<NA>199282.256842451198.826211<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
973010000CDFF32410920240000052024-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 중구 충무로*가 **-* 신한은행 명동역지점서울특별시 중구 명동**길 **, 신한은행 명동역지점 *층 (충무로*가)4536주식회사 핀즐2024-04-12 16:16:37I2023-12-03 23:05:00.0<NA>198667.410764451023.519957<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
983010000CDFF32410920240000062024-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2238-0110<NA><NA>서울특별시 중구 신당동 **-***서울특별시 중구 다산로**다길 **, *층 (신당동)4585주식회사 라이브커넥션2024-04-18 09:28:04I2023-12-03 22:00:00.0<NA>201563.06657451155.496728<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>