Overview

Dataset statistics

Number of variables56
Number of observations94
Missing cells2556
Missing cells (%)48.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.0 KiB
Average record size in memory490.4 B

Variable types

Categorical18
Text6
DateTime4
Unsupported25
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17196/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (91.5%)Imbalance
영업상태코드 is highly imbalanced (50.9%)Imbalance
영업상태명 is highly imbalanced (50.9%)Imbalance
상세영업상태코드 is highly imbalanced (50.9%)Imbalance
상세영업상태명 is highly imbalanced (50.9%)Imbalance
총층수 is highly imbalanced (54.5%)Imbalance
시설면적 is highly imbalanced (71.1%)Imbalance
지상층수 is highly imbalanced (54.5%)Imbalance
지하층수 is highly imbalanced (54.5%)Imbalance
통로너비 is highly imbalanced (58.0%)Imbalance
조명시설조도 is highly imbalanced (58.0%)Imbalance
노래방실수 is highly imbalanced (58.0%)Imbalance
청소년실수 is highly imbalanced (58.0%)Imbalance
총게임기수 is highly imbalanced (58.0%)Imbalance
폐업일자 has 74 (78.7%) missing valuesMissing
휴업시작일자 has 94 (100.0%) missing valuesMissing
휴업종료일자 has 94 (100.0%) missing valuesMissing
재개업일자 has 94 (100.0%) missing valuesMissing
전화번호 has 77 (81.9%) missing valuesMissing
소재지면적 has 94 (100.0%) missing valuesMissing
소재지우편번호 has 94 (100.0%) missing valuesMissing
지번주소 has 17 (18.1%) missing valuesMissing
업태구분명 has 94 (100.0%) missing valuesMissing
주변환경명 has 94 (100.0%) missing valuesMissing
제작취급품목내용 has 38 (40.4%) missing valuesMissing
건물용도명 has 94 (100.0%) missing valuesMissing
비상계단여부 has 94 (100.0%) missing valuesMissing
비상구여부 has 94 (100.0%) missing valuesMissing
자동환기여부 has 94 (100.0%) missing valuesMissing
청소년실여부 has 94 (100.0%) missing valuesMissing
특수조명여부 has 94 (100.0%) missing valuesMissing
방음시설여부 has 94 (100.0%) missing valuesMissing
비디오재생기명 has 94 (100.0%) missing valuesMissing
조명시설유무 has 94 (100.0%) missing valuesMissing
음향시설여부 has 94 (100.0%) missing valuesMissing
편의시설여부 has 94 (100.0%) missing valuesMissing
소방시설여부 has 94 (100.0%) missing valuesMissing
기존게임업외업종명 has 94 (100.0%) missing valuesMissing
제공게임물명 has 94 (100.0%) missing valuesMissing
공연장형태구분명 has 94 (100.0%) missing valuesMissing
품목명 has 94 (100.0%) missing valuesMissing
최초등록시점 has 94 (100.0%) missing valuesMissing
지역구분명 has 94 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 07:12:12.652328
Analysis finished2024-05-11 07:12:14.007257
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
3040000
94 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 94
100.0%

Length

2024-05-11T07:12:14.122555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:14.310858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 94
100.0%

관리번호
Text

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T07:12:14.823486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1880
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

Unique94 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000002
2nd rowCDFF3241092015000003
3rd rowCDFF3241092015000005
4th rowCDFF3241092015000006
5th rowCDFF3241092015000007
ValueCountFrequency (%)
cdff3241092015000002 1
 
1.1%
cdff3241092021000006 1
 
1.1%
cdff3241092022000005 1
 
1.1%
cdff3241092022000004 1
 
1.1%
cdff3241092022000003 1
 
1.1%
cdff3241092022000002 1
 
1.1%
cdff3241092022000001 1
 
1.1%
cdff3241092021000010 1
 
1.1%
cdff3241092021000009 1
 
1.1%
cdff3241092021000008 1
 
1.1%
Other values (84) 84
89.4%
2024-05-11T07:12:15.887799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 653
34.7%
2 264
14.0%
F 188
 
10.0%
1 176
 
9.4%
3 117
 
6.2%
9 112
 
6.0%
4 110
 
5.9%
C 94
 
5.0%
D 94
 
5.0%
5 28
 
1.5%
Other values (3) 44
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1504
80.0%
Uppercase Letter 376
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 653
43.4%
2 264
17.6%
1 176
 
11.7%
3 117
 
7.8%
9 112
 
7.4%
4 110
 
7.3%
5 28
 
1.9%
6 16
 
1.1%
7 15
 
1.0%
8 13
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 188
50.0%
C 94
25.0%
D 94
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1504
80.0%
Latin 376
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 653
43.4%
2 264
17.6%
1 176
 
11.7%
3 117
 
7.8%
9 112
 
7.4%
4 110
 
7.3%
5 28
 
1.9%
6 16
 
1.1%
7 15
 
1.0%
8 13
 
0.9%
Latin
ValueCountFrequency (%)
F 188
50.0%
C 94
25.0%
D 94
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 653
34.7%
2 264
14.0%
F 188
 
10.0%
1 176
 
9.4%
3 117
 
6.2%
9 112
 
6.0%
4 110
 
5.9%
C 94
 
5.0%
D 94
 
5.0%
5 28
 
1.5%
Other values (3) 44
 
2.3%

인허가일자
Date

Distinct82
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2014-12-26 00:00:00
Maximum2024-03-11 00:00:00
2024-05-11T07:12:16.529972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:12:17.018776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
93 
20160201
 
1

Length

Max length8
Median length4
Mean length4.0425532
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 93
98.9%
20160201 1
 
1.1%

Length

2024-05-11T07:12:17.501104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:17.923361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
98.9%
20160201 1
 
1.1%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
1
73 
3
16 
5
 
4
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
1 73
77.7%
3 16
 
17.0%
5 4
 
4.3%
4 1
 
1.1%

Length

2024-05-11T07:12:18.471498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:18.814576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 73
77.7%
3 16
 
17.0%
5 4
 
4.3%
4 1
 
1.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
영업/정상
73 
폐업
16 
제외/삭제/전출
 
4
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.712766
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 73
77.7%
폐업 16
 
17.0%
제외/삭제/전출 4
 
4.3%
취소/말소/만료/정지/중지 1
 
1.1%

Length

2024-05-11T07:12:19.188666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:19.517999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 73
77.7%
폐업 16
 
17.0%
제외/삭제/전출 4
 
4.3%
취소/말소/만료/정지/중지 1
 
1.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
13
73 
3
16 
15
 
4
31
 
1

Length

Max length2
Median length2
Mean length1.8297872
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 73
77.7%
3 16
 
17.0%
15 4
 
4.3%
31 1
 
1.1%

Length

2024-05-11T07:12:19.874304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:20.185852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 73
77.7%
3 16
 
17.0%
15 4
 
4.3%
31 1
 
1.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
영업중
73 
폐업
16 
전출
 
4
등록취소
 
1

Length

Max length4
Median length3
Mean length2.7978723
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 73
77.7%
폐업 16
 
17.0%
전출 4
 
4.3%
등록취소 1
 
1.1%

Length

2024-05-11T07:12:20.459157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:20.726526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 73
77.7%
폐업 16
 
17.0%
전출 4
 
4.3%
등록취소 1
 
1.1%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)95.0%
Missing74
Missing (%)78.7%
Memory size884.0 B
Minimum2016-09-05 00:00:00
Maximum2024-01-26 00:00:00
2024-05-11T07:12:21.035820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:12:21.353580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

전화번호
Text

MISSING 

Distinct16
Distinct (%)94.1%
Missing77
Missing (%)81.9%
Memory size884.0 B
2024-05-11T07:12:21.655867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.294118
Min length9

Characters and Unicode

Total characters192
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

Unique15 ?
Unique (%)88.2%

Sample

1st row02-3448-5552
2nd row02-558-1943
3rd row02-452-7779
4th row02-452-7779
5th row02-444-7411
ValueCountFrequency (%)
02-452-7779 2
 
11.8%
070-8732-7879 1
 
5.9%
02-558-1943 1
 
5.9%
02-444-7411 1
 
5.9%
02-6084-0707 1
 
5.9%
02-6052-5000 1
 
5.9%
02-323-5200 1
 
5.9%
02-3448-5552 1
 
5.9%
02-6338-6348 1
 
5.9%
025173211 1
 
5.9%
Other values (6) 6
35.3%
2024-05-11T07:12:22.551288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
16.1%
- 28
14.6%
2 26
13.5%
4 21
10.9%
7 18
9.4%
3 14
7.3%
1 14
7.3%
5 13
6.8%
8 11
 
5.7%
6 9
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 164
85.4%
Dash Punctuation 28
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
18.9%
2 26
15.9%
4 21
12.8%
7 18
11.0%
3 14
8.5%
1 14
8.5%
5 13
7.9%
8 11
 
6.7%
6 9
 
5.5%
9 7
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
16.1%
- 28
14.6%
2 26
13.5%
4 21
10.9%
7 18
9.4%
3 14
7.3%
1 14
7.3%
5 13
6.8%
8 11
 
5.7%
6 9
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
16.1%
- 28
14.6%
2 26
13.5%
4 21
10.9%
7 18
9.4%
3 14
7.3%
1 14
7.3%
5 13
6.8%
8 11
 
5.7%
6 9
 
4.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

지번주소
Text

MISSING 

Distinct68
Distinct (%)88.3%
Missing17
Missing (%)18.1%
Memory size884.0 B
2024-05-11T07:12:23.009984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length23.753247
Min length14

Characters and Unicode

Total characters1829
Distinct characters118
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

Unique60 ?
Unique (%)77.9%

Sample

1st row서울특별시 광진구 자양동 **-**번지
2nd row서울특별시 광진구 구의동 75-19
3rd row서울특별시 광진구 자양동
4th row서울특별시 광진구 자양동 ***-**번지
5th row서울특별시 광진구 자양동
ValueCountFrequency (%)
서울특별시 77
21.2%
광진구 77
21.2%
49
13.5%
자양동 29
 
8.0%
번지 23
 
6.3%
구의동 14
 
3.8%
화양동 11
 
3.0%
중곡동 8
 
2.2%
광장동 7
 
1.9%
호 6
 
1.6%
Other values (47) 63
17.3%
2024-05-11T07:12:23.912740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 330
18.0%
320
17.5%
구 92
 
5.0%
광 90
 
4.9%
동 79
 
4.3%
진 78
 
4.3%
서 77
 
4.2%
특 77
 
4.2%
별 77
 
4.2%
시 77
 
4.2%
Other values (108) 532
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1050
57.4%
Other Punctuation 332
 
18.2%
Space Separator 320
 
17.5%
Dash Punctuation 68
 
3.7%
Uppercase Letter 25
 
1.4%
Lowercase Letter 20
 
1.1%
Decimal Number 12
 
0.7%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 92
 
8.8%
광 90
 
8.6%
동 79
 
7.5%
진 78
 
7.4%
서 77
 
7.3%
특 77
 
7.3%
별 77
 
7.3%
시 77
 
7.3%
울 77
 
7.3%
양 42
 
4.0%
Other values (77) 284
27.0%
Uppercase Letter
ValueCountFrequency (%)
B 7
28.0%
Y 4
16.0%
R 3
12.0%
K 2
 
8.0%
W 2
 
8.0%
F 1
 
4.0%
P 1
 
4.0%
A 1
 
4.0%
L 1
 
4.0%
U 1
 
4.0%
Other values (2) 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
6 3
25.0%
7 2
16.7%
1 2
16.7%
9 2
16.7%
3 1
 
8.3%
0 1
 
8.3%
5 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
w 4
20.0%
t 4
20.0%
o 4
20.0%
e 4
20.0%
r 4
20.0%
Other Punctuation
ValueCountFrequency (%)
* 330
99.4%
, 1
 
0.3%
. 1
 
0.3%
Space Separator
ValueCountFrequency (%)
320
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1050
57.4%
Common 734
40.1%
Latin 45
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 92
 
8.8%
광 90
 
8.6%
동 79
 
7.5%
진 78
 
7.4%
서 77
 
7.3%
특 77
 
7.3%
별 77
 
7.3%
시 77
 
7.3%
울 77
 
7.3%
양 42
 
4.0%
Other values (77) 284
27.0%
Latin
ValueCountFrequency (%)
B 7
15.6%
w 4
8.9%
Y 4
8.9%
t 4
8.9%
o 4
8.9%
e 4
8.9%
r 4
8.9%
R 3
6.7%
K 2
 
4.4%
W 2
 
4.4%
Other values (7) 7
15.6%
Common
ValueCountFrequency (%)
* 330
45.0%
320
43.6%
- 68
 
9.3%
6 3
 
0.4%
7 2
 
0.3%
1 2
 
0.3%
9 2
 
0.3%
) 1
 
0.1%
3 1
 
0.1%
0 1
 
0.1%
Other values (4) 4
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1050
57.4%
ASCII 779
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 330
42.4%
320
41.1%
- 68
 
8.7%
B 7
 
0.9%
w 4
 
0.5%
Y 4
 
0.5%
t 4
 
0.5%
o 4
 
0.5%
e 4
 
0.5%
r 4
 
0.5%
Other values (21) 30
 
3.9%
Hangul
ValueCountFrequency (%)
구 92
 
8.8%
광 90
 
8.6%
동 79
 
7.5%
진 78
 
7.4%
서 77
 
7.3%
특 77
 
7.3%
별 77
 
7.3%
시 77
 
7.3%
울 77
 
7.3%
양 42
 
4.0%
Other values (77) 284
27.0%

도로명주소
Text

Distinct87
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T07:12:24.424995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37
Mean length32.478723
Min length22

Characters and Unicode

Total characters3053
Distinct characters160
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

Unique80 ?
Unique (%)85.1%

Sample

1st row서울특별시 광진구 능동로**길 **-* (군자동)
2nd row서울특별시 광진구 능동로**길 **-* (능동)
3rd row서울특별시 광진구 자양강변길 **, *층 ***호 (자양동)
4th row서울특별시 광진구 구의강변로 **, *층 ***호 (구의동)
5th row서울특별시 광진구 광나루로 *** (구의동)
ValueCountFrequency (%)
서울특별시 94
15.4%
광진구 94
15.4%
91
14.9%
자양동 36
 
5.9%
층 36
 
5.9%
호 30
 
4.9%
구의동 18
 
3.0%
화양동 12
 
2.0%
중곡동 9
 
1.5%
능동로**길 9
 
1.5%
Other values (94) 180
29.6%
2024-05-11T07:12:25.439626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
515
16.9%
* 470
 
15.4%
동 123
 
4.0%
광 121
 
4.0%
구 116
 
3.8%
) 95
 
3.1%
시 95
 
3.1%
진 95
 
3.1%
( 95
 
3.1%
울 94
 
3.1%
Other values (150) 1234
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1712
56.1%
Other Punctuation 561
 
18.4%
Space Separator 515
 
16.9%
Close Punctuation 95
 
3.1%
Open Punctuation 95
 
3.1%
Uppercase Letter 25
 
0.8%
Decimal Number 18
 
0.6%
Dash Punctuation 17
 
0.6%
Lowercase Letter 15
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 123
 
7.2%
광 121
 
7.1%
구 116
 
6.8%
시 95
 
5.5%
진 95
 
5.5%
울 94
 
5.5%
서 94
 
5.5%
별 94
 
5.5%
특 94
 
5.5%
로 92
 
5.4%
Other values (119) 694
40.5%
Uppercase Letter
ValueCountFrequency (%)
B 8
32.0%
Y 3
 
12.0%
R 3
 
12.0%
A 2
 
8.0%
K 2
 
8.0%
W 2
 
8.0%
P 1
 
4.0%
S 1
 
4.0%
E 1
 
4.0%
U 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 4
22.2%
0 3
16.7%
6 3
16.7%
7 2
11.1%
3 2
11.1%
2 2
11.1%
9 1
 
5.6%
5 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
r 3
20.0%
e 3
20.0%
w 3
20.0%
o 3
20.0%
t 3
20.0%
Other Punctuation
ValueCountFrequency (%)
* 470
83.8%
, 90
 
16.0%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
515
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1712
56.1%
Common 1301
42.6%
Latin 40
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 123
 
7.2%
광 121
 
7.1%
구 116
 
6.8%
시 95
 
5.5%
진 95
 
5.5%
울 94
 
5.5%
서 94
 
5.5%
별 94
 
5.5%
특 94
 
5.5%
로 92
 
5.4%
Other values (119) 694
40.5%
Latin
ValueCountFrequency (%)
B 8
20.0%
Y 3
 
7.5%
r 3
 
7.5%
e 3
 
7.5%
R 3
 
7.5%
w 3
 
7.5%
o 3
 
7.5%
t 3
 
7.5%
A 2
 
5.0%
K 2
 
5.0%
Other values (6) 7
17.5%
Common
ValueCountFrequency (%)
515
39.6%
* 470
36.1%
) 95
 
7.3%
( 95
 
7.3%
, 90
 
6.9%
- 17
 
1.3%
1 4
 
0.3%
0 3
 
0.2%
6 3
 
0.2%
7 2
 
0.2%
Other values (5) 7
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1712
56.1%
ASCII 1341
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
515
38.4%
* 470
35.0%
) 95
 
7.1%
( 95
 
7.1%
, 90
 
6.7%
- 17
 
1.3%
B 8
 
0.6%
1 4
 
0.3%
Y 3
 
0.2%
r 3
 
0.2%
Other values (21) 41
 
3.1%
Hangul
ValueCountFrequency (%)
동 123
 
7.2%
광 121
 
7.1%
구 116
 
6.8%
시 95
 
5.5%
진 95
 
5.5%
울 94
 
5.5%
서 94
 
5.5%
별 94
 
5.5%
특 94
 
5.5%
로 92
 
5.4%
Other values (119) 694
40.5%

도로명우편번호
Real number (ℝ)

Distinct62
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5022.9255
Minimum4902
Maximum5116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T07:12:25.784069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4902
5-th percentile4920.25
Q14987
median5022.5
Q35069.5
95-th percentile5106.05
Maximum5116
Range214
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation54.660091
Coefficient of variation (CV)0.010882123
Kurtosis-0.68758017
Mean5022.9255
Median Absolute Deviation (MAD)40
Skewness-0.13691903
Sum472155
Variance2987.7256
MonotonicityNot monotonic
2024-05-11T07:12:26.210235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5026 4
 
4.3%
5116 4
 
4.3%
5024 3
 
3.2%
4966 3
 
3.2%
4992 3
 
3.2%
5051 3
 
3.2%
4994 3
 
3.2%
5088 2
 
2.1%
5009 2
 
2.1%
4975 2
 
2.1%
Other values (52) 65
69.1%
ValueCountFrequency (%)
4902 1
 
1.1%
4907 1
 
1.1%
4914 1
 
1.1%
4917 2
2.1%
4922 1
 
1.1%
4941 1
 
1.1%
4947 2
2.1%
4954 1
 
1.1%
4966 3
3.2%
4968 2
2.1%
ValueCountFrequency (%)
5116 4
4.3%
5108 1
 
1.1%
5105 1
 
1.1%
5103 1
 
1.1%
5098 2
2.1%
5094 2
2.1%
5093 2
2.1%
5088 2
2.1%
5086 1
 
1.1%
5085 1
 
1.1%

사업장명
Text

Distinct93
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T07:12:26.660986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length22
Mean length10.680851
Min length3

Characters and Unicode

Total characters1004
Distinct characters203
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)97.9%

Sample

1st row호기심 스튜디오 레이블
2nd row플래쉬 엔터네인먼트
3rd row주식회사 이든나인
4th row코이노니아 엔터테인먼트
5th row주식회사 골든구스엔터테인먼트
ValueCountFrequency (%)
주식회사 31
 
19.6%
엔터테인먼트 6
 
3.8%
entertainment 3
 
1.9%
컴퍼니 2
 
1.3%
크리티버스 2
 
1.3%
에이전시 2
 
1.3%
스튜디오 1
 
0.6%
레이블 1
 
0.6%
더기버스 1
 
0.6%
에스에이 1
 
0.6%
Other values (108) 108
68.4%
2024-05-11T07:12:27.451678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
6.4%
이 46
 
4.6%
주 45
 
4.5%
사 34
 
3.4%
트 32
 
3.2%
회 31
 
3.1%
식 31
 
3.1%
인 29
 
2.9%
엔 27
 
2.7%
먼 26
 
2.6%
Other values (193) 639
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 762
75.9%
Space Separator 64
 
6.4%
Uppercase Letter 60
 
6.0%
Lowercase Letter 59
 
5.9%
Open Punctuation 25
 
2.5%
Close Punctuation 25
 
2.5%
Other Symbol 6
 
0.6%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 46
 
6.0%
주 45
 
5.9%
사 34
 
4.5%
트 32
 
4.2%
회 31
 
4.1%
식 31
 
4.1%
인 29
 
3.8%
엔 27
 
3.5%
먼 26
 
3.4%
터 25
 
3.3%
Other values (150) 436
57.2%
Uppercase Letter
ValueCountFrequency (%)
E 9
15.0%
A 6
10.0%
S 5
 
8.3%
T 5
 
8.3%
L 4
 
6.7%
N 4
 
6.7%
M 4
 
6.7%
C 3
 
5.0%
I 3
 
5.0%
O 3
 
5.0%
Other values (10) 14
23.3%
Lowercase Letter
ValueCountFrequency (%)
n 9
15.3%
e 7
11.9%
i 6
10.2%
m 6
10.2%
t 6
10.2%
s 4
6.8%
a 4
6.8%
o 3
 
5.1%
u 3
 
5.1%
p 2
 
3.4%
Other values (6) 9
15.3%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 768
76.5%
Latin 119
 
11.9%
Common 117
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 46
 
6.0%
주 45
 
5.9%
사 34
 
4.4%
트 32
 
4.2%
회 31
 
4.0%
식 31
 
4.0%
인 29
 
3.8%
엔 27
 
3.5%
먼 26
 
3.4%
터 25
 
3.3%
Other values (151) 442
57.6%
Latin
ValueCountFrequency (%)
n 9
 
7.6%
E 9
 
7.6%
e 7
 
5.9%
i 6
 
5.0%
m 6
 
5.0%
t 6
 
5.0%
A 6
 
5.0%
S 5
 
4.2%
T 5
 
4.2%
s 4
 
3.4%
Other values (26) 56
47.1%
Common
ValueCountFrequency (%)
64
54.7%
( 25
 
21.4%
) 25
 
21.4%
. 1
 
0.9%
- 1
 
0.9%
2 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 762
75.9%
ASCII 236
 
23.5%
None 6
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
27.1%
( 25
 
10.6%
) 25
 
10.6%
n 9
 
3.8%
E 9
 
3.8%
e 7
 
3.0%
i 6
 
2.5%
m 6
 
2.5%
t 6
 
2.5%
A 6
 
2.5%
Other values (32) 73
30.9%
Hangul
ValueCountFrequency (%)
이 46
 
6.0%
주 45
 
5.9%
사 34
 
4.5%
트 32
 
4.2%
회 31
 
4.1%
식 31
 
4.1%
인 29
 
3.8%
엔 27
 
3.5%
먼 26
 
3.4%
터 25
 
3.3%
Other values (150) 436
57.2%
None
ValueCountFrequency (%)
㈜ 6
100.0%

최종수정일자
Date

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2015-07-22 09:55:24
Maximum2024-04-08 17:02:13
2024-05-11T07:12:27.708261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:12:27.968186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
I
63 
U
30 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
I 63
67.0%
U 30
31.9%
D 1
 
1.1%

Length

2024-05-11T07:12:28.349721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:28.650501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 63
67.0%
u 30
31.9%
d 1
 
1.1%

데이터갱신일자
Date

Distinct65
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:00:00
2024-05-11T07:12:28.994133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:12:29.307370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

좌표정보(X)
Real number (ℝ)

Distinct79
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207084.87
Minimum205333.85
Maximum209734.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T07:12:29.577615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205333.85
5-th percentile205609.65
Q1206330.51
median207100.75
Q3207786.29
95-th percentile208972.33
Maximum209734.22
Range4400.3709
Interquartile range (IQR)1455.7875

Descriptive statistics

Standard deviation1027.3851
Coefficient of variation (CV)0.0049611791
Kurtosis-0.23142881
Mean207084.87
Median Absolute Deviation (MAD)761.61596
Skewness0.40687215
Sum19465978
Variance1055520.2
MonotonicityNot monotonic
2024-05-11T07:12:29.855539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207259.013441038 4
 
4.3%
207396.986187596 3
 
3.2%
206421.292355374 2
 
2.1%
207146.632557019 2
 
2.1%
206551.065270094 2
 
2.1%
207369.576935296 2
 
2.1%
208955.688021518 2
 
2.1%
206197.900783109 2
 
2.1%
207977.327019894 2
 
2.1%
205423.166680094 2
 
2.1%
Other values (69) 71
75.5%
ValueCountFrequency (%)
205333.847644836 2
2.1%
205423.166680094 2
2.1%
205602.828798829 1
1.1%
205613.325419685 1
1.1%
205633.773457293 1
1.1%
205655.134613824 1
1.1%
205692.272635389 1
1.1%
205696.545418928 1
1.1%
205715.482379279 1
1.1%
205765.55474647 1
1.1%
ValueCountFrequency (%)
209734.218553133 1
1.1%
209653.285186637 1
1.1%
209245.695738208 1
1.1%
209107.737007564 1
1.1%
209003.249233431 1
1.1%
208955.688021518 2
2.1%
208902.730986087 1
1.1%
208394.416382167 1
1.1%
208325.439045629 1
1.1%
208274.803885961 1
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct79
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449103.19
Minimum447331.9
Maximum452045.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T07:12:30.266579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447331.9
5-th percentile447701.39
Q1448151.66
median449141.81
Q3449818.88
95-th percentile450924.84
Maximum452045.24
Range4713.3348
Interquartile range (IQR)1667.2177

Descriptive statistics

Standard deviation1090.6546
Coefficient of variation (CV)0.0024285166
Kurtosis-0.58537359
Mean449103.19
Median Absolute Deviation (MAD)890.04367
Skewness0.46497091
Sum42215700
Variance1189527.4
MonotonicityNot monotonic
2024-05-11T07:12:30.702319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448563.154431644 4
 
4.3%
449180.979503742 3
 
3.2%
450668.039538554 2
 
2.1%
448012.746940602 2
 
2.1%
447685.232564451 2
 
2.1%
448199.234475482 2
 
2.1%
449589.265255025 2
 
2.1%
447701.394677853 2
 
2.1%
449691.436498248 2
 
2.1%
448278.737804147 2
 
2.1%
Other values (69) 71
75.5%
ValueCountFrequency (%)
447331.904249819 1
1.1%
447404.717192681 1
1.1%
447685.232564451 2
2.1%
447701.394677853 2
2.1%
447702.928554054 1
1.1%
447723.610193226 1
1.1%
447747.786946224 1
1.1%
447791.471987874 1
1.1%
447803.536059583 1
1.1%
447812.924832297 1
1.1%
ValueCountFrequency (%)
452045.239035622 1
1.1%
451489.389486328 1
1.1%
451342.816907644 1
1.1%
451144.292809494 1
1.1%
450952.528306236 1
1.1%
450909.938384592 1
1.1%
450842.789164823 1
1.1%
450813.352218595 1
1.1%
450798.613970393 1
1.1%
450668.039538554 2
2.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
대중문화예술기획업
56 
<NA>
38 

Length

Max length9
Median length9
Mean length6.9787234
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 56
59.6%
<NA> 38
40.4%

Length

2024-05-11T07:12:31.124777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:31.494256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 56
59.6%
na 38
40.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
유통관련업
56 
<NA>
38 

Length

Max length5
Median length5
Mean length4.5957447
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 56
59.6%
<NA> 38
40.4%

Length

2024-05-11T07:12:31.816351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:32.183931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 56
59.6%
na 38
40.4%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
85 
0
9 

Length

Max length4
Median length4
Mean length3.712766
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> 85
90.4%
0 9
 
9.6%

Length

2024-05-11T07:12:32.514122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:32.783425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
90.4%
0 9
 
9.6%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

제작취급품목내용
Text

MISSING 

Distinct41
Distinct (%)73.2%
Missing38
Missing (%)40.4%
Memory size884.0 B
2024-05-11T07:12:33.189926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length25.5
Mean length10.517857
Min length2

Characters and Unicode

Total characters589
Distinct characters92
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)66.1%

Sample

1st row옌예인 및 기타 공인 매니지먼트
2nd row연예기획
3rd row매니지먼트
4th row일반영화제작, 이벤트, 홍보대행, 배우, 탤런트 등, 연예보조서비스
5th row엔터테인먼트
ValueCountFrequency (%)
엔터테인먼트 12
 
10.4%
매니지먼트 12
 
10.4%
연예매니지먼트 6
 
5.2%
및 6
 
5.2%
등 5
 
4.3%
외 4
 
3.5%
공연기획 4
 
3.5%
매니저업 3
 
2.6%
배우 3
 
2.6%
모델에이전시 3
 
2.6%
Other values (50) 57
49.6%
2024-05-11T07:12:34.140220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
60
 
10.2%
트 38
 
6.5%
먼 33
 
5.6%
, 33
 
5.6%
매 23
 
3.9%
니 23
 
3.9%
인 22
 
3.7%
연 20
 
3.4%
지 19
 
3.2%
예 19
 
3.2%
Other values (82) 299
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 492
83.5%
Space Separator 60
 
10.2%
Other Punctuation 33
 
5.6%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 38
 
7.7%
먼 33
 
6.7%
매 23
 
4.7%
니 23
 
4.7%
인 22
 
4.5%
연 20
 
4.1%
지 19
 
3.9%
예 19
 
3.9%
터 15
 
3.0%
엔 14
 
2.8%
Other values (78) 266
54.1%
Space Separator
ValueCountFrequency (%)
60
100.0%
Other Punctuation
ValueCountFrequency (%)
, 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 492
83.5%
Common 97
 
16.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 38
 
7.7%
먼 33
 
6.7%
매 23
 
4.7%
니 23
 
4.7%
인 22
 
4.5%
연 20
 
4.1%
지 19
 
3.9%
예 19
 
3.9%
터 15
 
3.0%
엔 14
 
2.8%
Other values (78) 266
54.1%
Common
ValueCountFrequency (%)
60
61.9%
, 33
34.0%
( 2
 
2.1%
) 2
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 492
83.5%
ASCII 97
 
16.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
60
61.9%
, 33
34.0%
( 2
 
2.1%
) 2
 
2.1%
Hangul
ValueCountFrequency (%)
트 38
 
7.7%
먼 33
 
6.7%
매 23
 
4.7%
니 23
 
4.7%
인 22
 
4.5%
연 20
 
4.1%
지 19
 
3.9%
예 19
 
3.9%
터 15
 
3.0%
엔 14
 
2.8%
Other values (78) 266
54.1%

시설면적
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
83 
0.0
 
8
277.25
 
1
154.8
 
1
96.0
 
1

Length

Max length6
Median length4
Mean length3.9468085
Min length3

Unique

Unique3 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
88.3%
0.0 8
 
8.5%
277.25 1
 
1.1%
154.8 1
 
1.1%
96.0 1
 
1.1%

Length

2024-05-11T07:12:34.567085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:34.901906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
88.3%
0.0 8
 
8.5%
277.25 1
 
1.1%
154.8 1
 
1.1%
96.0 1
 
1.1%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
85 
0
9 

Length

Max length4
Median length4
Mean length3.712766
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> 85
90.4%
0 9
 
9.6%

Length

2024-05-11T07:12:35.254843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:35.435069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
90.4%
0 9
 
9.6%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
85 
0
9 

Length

Max length4
Median length4
Mean length3.712766
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> 85
90.4%
0 9
 
9.6%

Length

2024-05-11T07:12:35.626782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:35.828912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
90.4%
0 9
 
9.6%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
86 
0
 
8

Length

Max length4
Median length4
Mean length3.7446809
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> 86
91.5%
0 8
 
8.5%

Length

2024-05-11T07:12:36.162209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:36.477087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
91.5%
0 8
 
8.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
86 
0
 
8

Length

Max length4
Median length4
Mean length3.7446809
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> 86
91.5%
0 8
 
8.5%

Length

2024-05-11T07:12:36.966592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:37.283705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
91.5%
0 8
 
8.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
86 
0
 
8

Length

Max length4
Median length4
Mean length3.7446809
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> 86
91.5%
0 8
 
8.5%

Length

2024-05-11T07:12:37.623778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:37.919901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
91.5%
0 8
 
8.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
86 
0
 
8

Length

Max length4
Median length4
Mean length3.7446809
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> 86
91.5%
0 8
 
8.5%

Length

2024-05-11T07:12:38.145149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:38.455175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
91.5%
0 8
 
8.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
86 
0
 
8

Length

Max length4
Median length4
Mean length3.7446809
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> 86
91.5%
0 8
 
8.5%

Length

2024-05-11T07:12:38.788255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:12:39.028016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
91.5%
0 8
 
8.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03040000CDFF324109201500000220150629<NA>3폐업3폐업20170328<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 능동로**길 **-* (군자동)4998호기심 스튜디오 레이블2017-03-28 18:16:33I2018-08-31 23:59:59.0<NA>206666.826455450046.897717대중문화예술기획업유통관련업<NA><NA>옌예인 및 기타 공인 매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13040000CDFF324109201500000320150715<NA>3폐업3폐업20160905<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 능동로**길 **-* (능동)4985플래쉬 엔터네인먼트2016-09-06 15:30:22I2018-08-31 23:59:59.0<NA>207002.452588450334.352912대중문화예술기획업유통관련업<NA><NA>연예기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23040000CDFF324109201500000520150722<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3448-5552<NA><NA><NA>서울특별시 광진구 자양강변길 **, *층 ***호 (자양동)5088주식회사 이든나인2015-07-22 09:55:24I2018-08-31 23:59:59.0<NA>205333.847645447971.956469대중문화예술기획업유통관련업<NA><NA>매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33040000CDFF324109201500000620150722<NA>1영업/정상13영업중<NA><NA><NA><NA>02-558-1943<NA><NA><NA>서울특별시 광진구 구의강변로 **, *층 ***호 (구의동)5049코이노니아 엔터테인먼트2015-07-22 10:00:37I2018-08-31 23:59:59.0<NA>207995.957095448085.242459대중문화예술기획업유통관련업<NA><NA>일반영화제작, 이벤트, 홍보대행, 배우, 탤런트 등, 연예보조서비스<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43040000CDFF324109201500000720150722<NA>1영업/정상13영업중<NA><NA><NA><NA>02-452-7779<NA><NA><NA>서울특별시 광진구 광나루로 *** (구의동)5024주식회사 골든구스엔터테인먼트2015-07-22 10:02:39I2018-08-31 23:59:59.0<NA>207396.986188449180.979504대중문화예술기획업유통관련업<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>
53040000CDFF32410920150000082015-07-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-452-7779<NA><NA><NA>서울특별시 광진구 광나루로 *** (구의동)5024오디션벨 주식회사2023-01-31 10:31:01U2022-12-04 22:06:00.0<NA>207396.986188449180.979504<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63040000CDFF324109201500000920150723<NA>3폐업3폐업20190820<NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 **-**번지서울특별시 광진구 뚝섬로**길 ** (자양동)5085브로스 엔터테인먼트2019-08-20 15:21:40U2019-08-22 02:40:00.0<NA>205715.482379448147.123821대중문화예술기획업유통관련업<NA><NA>연예매니지먼트, 공연기획, 음반기획, 홍보대행<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73040000CDFF324109201500001020150727<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 긴고랑로**길 * (중곡동)4922주식회사 아이언엔터테인먼트2015-07-27 13:51:22I2018-08-31 23:59:59.0<NA>207592.433421450798.61397대중문화예술기획업유통관련업<NA><NA>음반제작업, 연예매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83040000CDFF324109201500001220150727<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양로**길 ** (자양동)5025멜로디라인2015-07-27 14:56:04I2018-08-31 23:59:59.0<NA>207161.495844448609.673984대중문화예술기획업유통관련업<NA><NA>작곡<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93040000CDFF324109201500001320150727<NA>3폐업3폐업20200331<NA><NA><NA>02-444-7411<NA><NA>서울특별시 광진구 구의동 75-19서울특별시 광진구 천호대로 676, 3층 (구의동)4992㈜리틀송뮤직2022-12-06 14:42:13U2021-11-02 00:08:00.0<NA>207872.906965449818.880547<NA><NA><NA><NA><NA><NA><NA><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
843040000CDFF32410920230000092015-06-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 능동 ***-*서울특별시 광진구 천호대로 ***, *층 (능동)4987브레이브엔터테인먼트(주)2023-09-27 17:57:14I2022-12-08 22:09:00.0<NA>207447.364228450262.687113<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853040000CDFF32410920230000102023-10-06<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4632-2380<NA><NA>서울특별시 광진구 구의동 **-* 천우 광진서울특별시 광진구 천호대로 ***, 천우 광진 *층 (구의동)4975주식회사 에이코닉2023-10-06 09:19:14I2022-10-31 00:08:00.0<NA>207977.32702449691.436498<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863040000CDFF32410920230000112023-11-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 **-**서울특별시 광진구 광나루로**길 **, ***호 (화양동)5007모나요2023-11-14 14:00:15I2022-10-31 23:06:00.0<NA>205910.695554449446.278057<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873040000CDFF32410920230000122023-12-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-456-2061<NA><NA>서울특별시 광진구 자양동 ***-** Y-PARK(와이파크)서울특별시 광진구 뚝섬로**길 **, ***호 (자양동, Y-PARK(와이파크))5098매니지먼트런 주식회사2023-12-14 16:51:08I2022-11-01 23:06:00.0<NA>206635.631002447723.610193<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
883040000CDFF32410920240000012024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 **-**서울특별시 광진구 동일로*길 **-**, ***호 (자양동)5084매니지먼트 봄날2024-01-16 09:21:36I2023-11-30 23:08:00.0<NA>205602.828799448109.688291<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
893040000CDFF32410920240000022024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 * 건국대학교서울특별시 광진구 능동로 ***, 건국대학교 창의관 ***호 (화양동)5029컴퍼니에이 주식회사2024-01-19 17:52:02I2023-11-30 22:01:00.0<NA>206445.881092448922.881688<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
903040000CDFF32410920240000032024-01-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 ***서울특별시 광진구 능동로**길 **, 지하호 (화양동)5021주식회사 유명한사람들2024-01-31 15:35:49I2023-12-02 00:02:00.0<NA>206619.093998449202.713058<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
913040000CDFF32410920240000042024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 **-**서울특별시 광진구 천호대로***길 **, *층 (구의동)4992플레이어스 엔터테인먼트(PLAYERS ENTERTAINMENT)2024-02-05 17:49:51I2023-12-02 00:07:00.0<NA>207833.560083449732.823003<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
923040000CDFF32410920240000052024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4148-1834<NA><NA>서울특별시 광진구 구의동 ***-*서울특별시 광진구 아차산로 ***, *층 (구의동)5046언디파인드엔터테인먼트 주식회사2024-03-11 09:01:59I2023-12-02 23:03:00.0<NA>208137.67153448603.581459<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
933040000CDFF32410920240000062021-03-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 ***-* 안틸리아 자양서울특별시 광진구 자양로 **, 안틸리아 자양 *층 ***호 (자양동)5051(주)비츠엔터테인먼트2024-04-08 17:02:13U2023-12-03 23:00:00.0<NA>207369.576935448199.234475<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>