Overview

Dataset statistics

Number of variables56
Number of observations54
Missing cells1545
Missing cells (%)51.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.8 KiB
Average record size in memory489.4 B

Variable types

Categorical16
Text6
DateTime6
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
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-17208/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 54 (100.0%) missing valuesMissing
폐업일자 has 45 (83.3%) missing valuesMissing
휴업시작일자 has 52 (96.3%) missing valuesMissing
휴업종료일자 has 52 (96.3%) missing valuesMissing
재개업일자 has 54 (100.0%) missing valuesMissing
전화번호 has 45 (83.3%) missing valuesMissing
소재지면적 has 54 (100.0%) missing valuesMissing
소재지우편번호 has 54 (100.0%) missing valuesMissing
업태구분명 has 54 (100.0%) missing valuesMissing
주변환경명 has 54 (100.0%) missing valuesMissing
제작취급품목내용 has 20 (37.0%) missing valuesMissing
시설면적 has 35 (64.8%) missing valuesMissing
건물용도명 has 54 (100.0%) missing valuesMissing
비상계단여부 has 54 (100.0%) missing valuesMissing
비상구여부 has 54 (100.0%) missing valuesMissing
자동환기여부 has 54 (100.0%) missing valuesMissing
청소년실여부 has 54 (100.0%) missing valuesMissing
특수조명여부 has 54 (100.0%) missing valuesMissing
방음시설여부 has 54 (100.0%) missing valuesMissing
비디오재생기명 has 54 (100.0%) missing valuesMissing
조명시설유무 has 54 (100.0%) missing valuesMissing
음향시설여부 has 54 (100.0%) missing valuesMissing
편의시설여부 has 54 (100.0%) missing valuesMissing
소방시설여부 has 54 (100.0%) missing valuesMissing
기존게임업외업종명 has 54 (100.0%) missing valuesMissing
제공게임물명 has 54 (100.0%) missing valuesMissing
공연장형태구분명 has 54 (100.0%) missing valuesMissing
품목명 has 54 (100.0%) missing valuesMissing
최초등록시점 has 54 (100.0%) missing valuesMissing
지역구분명 has 54 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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 6 (11.1%) zerosZeros

Reproduction

Analysis started2024-05-11 08:07:06.392887
Analysis finished2024-05-11 08:07:07.014213
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
3160000
54 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3160000
2nd row3160000
3rd row3160000
4th row3160000
5th row3160000

Common Values

ValueCountFrequency (%)
3160000 54
100.0%

Length

2024-05-11T17:07:07.070650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:07.166688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 54
100.0%

관리번호
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-11T17:07:07.329510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1080
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

Unique54 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000002
3rd rowCDFF3241092015000003
4th rowCDFF3241092015000006
5th rowCDFF3241092015000007
ValueCountFrequency (%)
cdff3241092015000001 1
 
1.9%
cdff3241092021000008 1
 
1.9%
cdff3241092023000006 1
 
1.9%
cdff3241092020000006 1
 
1.9%
cdff3241092020000007 1
 
1.9%
cdff3241092020000008 1
 
1.9%
cdff3241092021000001 1
 
1.9%
cdff3241092021000002 1
 
1.9%
cdff3241092021000003 1
 
1.9%
cdff3241092021000004 1
 
1.9%
Other values (44) 44
81.5%
2024-05-11T17:07:07.632700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 381
35.3%
2 151
 
14.0%
F 108
 
10.0%
1 101
 
9.4%
3 68
 
6.3%
4 62
 
5.7%
9 61
 
5.6%
C 54
 
5.0%
D 54
 
5.0%
5 15
 
1.4%
Other values (3) 25
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 864
80.0%
Uppercase Letter 216
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 381
44.1%
2 151
 
17.5%
1 101
 
11.7%
3 68
 
7.9%
4 62
 
7.2%
9 61
 
7.1%
5 15
 
1.7%
7 11
 
1.3%
6 8
 
0.9%
8 6
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 108
50.0%
C 54
25.0%
D 54
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 864
80.0%
Latin 216
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 381
44.1%
2 151
 
17.5%
1 101
 
11.7%
3 68
 
7.9%
4 62
 
7.2%
9 61
 
7.1%
5 15
 
1.7%
7 11
 
1.3%
6 8
 
0.9%
8 6
 
0.7%
Latin
ValueCountFrequency (%)
F 108
50.0%
C 54
25.0%
D 54
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 381
35.3%
2 151
 
14.0%
F 108
 
10.0%
1 101
 
9.4%
3 68
 
6.3%
4 62
 
5.7%
9 61
 
5.6%
C 54
 
5.0%
D 54
 
5.0%
5 15
 
1.4%
Other values (3) 25
 
2.3%

인허가일자
Date

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2015-04-03 00:00:00
Maximum2023-12-14 00:00:00
2024-05-11T17:07:07.785106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:07:07.925294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
1
43 
3
6 
5
 
3
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 43
79.6%
3 6
 
11.1%
5 3
 
5.6%
2 2
 
3.7%

Length

2024-05-11T17:07:08.079194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:08.192887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 43
79.6%
3 6
 
11.1%
5 3
 
5.6%
2 2
 
3.7%

영업상태명
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업/정상
43 
폐업
6 
제외/삭제/전출
 
3
휴업
 
2

Length

Max length8
Median length5
Mean length4.7222222
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 43
79.6%
폐업 6
 
11.1%
제외/삭제/전출 3
 
5.6%
휴업 2
 
3.7%

Length

2024-05-11T17:07:08.320698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:08.454221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 43
79.6%
폐업 6
 
11.1%
제외/삭제/전출 3
 
5.6%
휴업 2
 
3.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
13
43 
3
6 
15
 
3
2
 
2

Length

Max length2
Median length2
Mean length1.8518519
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 43
79.6%
3 6
 
11.1%
15 3
 
5.6%
2 2
 
3.7%

Length

2024-05-11T17:07:08.595949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:08.716225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 43
79.6%
3 6
 
11.1%
15 3
 
5.6%
2 2
 
3.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size564.0 B
영업중
43 
폐업
6 
전출
 
3
휴업
 
2

Length

Max length3
Median length3
Mean length2.7962963
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 43
79.6%
폐업 6
 
11.1%
전출 3
 
5.6%
휴업 2
 
3.7%

Length

2024-05-11T17:07:08.832847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:08.939743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 43
79.6%
폐업 6
 
11.1%
전출 3
 
5.6%
휴업 2
 
3.7%

폐업일자
Date

MISSING 

Distinct9
Distinct (%)100.0%
Missing45
Missing (%)83.3%
Memory size564.0 B
Minimum2021-10-21 00:00:00
Maximum2023-08-30 00:00:00
2024-05-11T17:07:09.021036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:07:09.108047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing52
Missing (%)96.3%
Memory size564.0 B
Minimum2021-11-24 00:00:00
Maximum2023-07-21 00:00:00
2024-05-11T17:07:09.210315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:07:09.304388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing52
Missing (%)96.3%
Memory size564.0 B
Minimum2024-06-30 00:00:00
Maximum2025-11-24 00:00:00
2024-05-11T17:07:09.394104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:07:09.499952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing45
Missing (%)83.3%
Memory size564.0 B
2024-05-11T17:07:09.665391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.444444
Min length9

Characters and Unicode

Total characters103
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row1599-0741
2nd row02-2646-5769
3rd row02-6279-1003
4th row02-535-5351
5th row02-2616-7177
ValueCountFrequency (%)
1599-0741 1
11.1%
02-2646-5769 1
11.1%
02-6279-1003 1
11.1%
02-535-5351 1
11.1%
02-2616-7177 1
11.1%
02-2616-6607 1
11.1%
02-6095-6761 1
11.1%
02-1670-6033 1
11.1%
02-595-8865 1
11.1%
2024-05-11T17:07:09.975703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 17
16.5%
6 16
15.5%
0 15
14.6%
2 12
11.7%
5 10
9.7%
1 9
8.7%
7 9
8.7%
9 6
 
5.8%
3 5
 
4.9%
4 2
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 86
83.5%
Dash Punctuation 17
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 16
18.6%
0 15
17.4%
2 12
14.0%
5 10
11.6%
1 9
10.5%
7 9
10.5%
9 6
 
7.0%
3 5
 
5.8%
4 2
 
2.3%
8 2
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 103
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 17
16.5%
6 16
15.5%
0 15
14.6%
2 12
11.7%
5 10
9.7%
1 9
8.7%
7 9
8.7%
9 6
 
5.8%
3 5
 
4.9%
4 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 17
16.5%
6 16
15.5%
0 15
14.6%
2 12
11.7%
5 10
9.7%
1 9
8.7%
7 9
8.7%
9 6
 
5.8%
3 5
 
4.9%
4 2
 
1.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

지번주소
Text

Distinct52
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-11T17:07:10.188759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length35.5
Mean length30.611111
Min length16

Characters and Unicode

Total characters1653
Distinct characters125
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)92.6%

Sample

1st row서울특별시 구로구 구로동 *** 신구로자이나인스에비뉴
2nd row서울특별시 구로구 구로동 ***-**번지 ***-N호
3rd row서울특별시 구로구 구로동 ***-**번지
4th row서울특별시 구로구 구로동 *-**번지 *층
5th row서울특별시 구로구 고척동 **-**번지 ***호
ValueCountFrequency (%)
서울특별시 54
18.2%
구로구 54
18.2%
구로동 37
12.5%
33
11.1%
번지 19
 
6.4%
호 18
 
6.1%
층 6
 
2.0%
개봉동 6
 
2.0%
동 5
 
1.7%
대륭포스트타워*차 4
 
1.4%
Other values (43) 60
20.3%
2024-05-11T17:07:10.570894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 332
20.1%
267
16.2%
구 146
 
8.8%
로 92
 
5.6%
동 61
 
3.7%
서 54
 
3.3%
울 54
 
3.3%
특 54
 
3.3%
별 54
 
3.3%
시 54
 
3.3%
Other values (115) 485
29.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 978
59.2%
Other Punctuation 334
 
20.2%
Space Separator 267
 
16.2%
Dash Punctuation 53
 
3.2%
Decimal Number 11
 
0.7%
Uppercase Letter 6
 
0.4%
Letter Number 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 146
14.9%
로 92
 
9.4%
동 61
 
6.2%
서 54
 
5.5%
울 54
 
5.5%
특 54
 
5.5%
별 54
 
5.5%
시 54
 
5.5%
호 26
 
2.7%
지 24
 
2.5%
Other values (98) 359
36.7%
Decimal Number
ValueCountFrequency (%)
5 3
27.3%
1 2
18.2%
7 2
18.2%
4 1
 
9.1%
9 1
 
9.1%
0 1
 
9.1%
2 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
N 1
 
16.7%
D 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
* 332
99.4%
, 2
 
0.6%
Space Separator
ValueCountFrequency (%)
267
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 978
59.2%
Common 667
40.4%
Latin 8
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 146
14.9%
로 92
 
9.4%
동 61
 
6.2%
서 54
 
5.5%
울 54
 
5.5%
특 54
 
5.5%
별 54
 
5.5%
시 54
 
5.5%
호 26
 
2.7%
지 24
 
2.5%
Other values (98) 359
36.7%
Common
ValueCountFrequency (%)
* 332
49.8%
267
40.0%
- 53
 
7.9%
5 3
 
0.4%
1 2
 
0.3%
7 2
 
0.3%
, 2
 
0.3%
( 1
 
0.1%
4 1
 
0.1%
9 1
 
0.1%
Other values (3) 3
 
0.4%
Latin
ValueCountFrequency (%)
B 4
50.0%
Ⅲ 2
25.0%
N 1
 
12.5%
D 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 978
59.2%
ASCII 673
40.7%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 332
49.3%
267
39.7%
- 53
 
7.9%
B 4
 
0.6%
5 3
 
0.4%
1 2
 
0.3%
7 2
 
0.3%
, 2
 
0.3%
N 1
 
0.1%
( 1
 
0.1%
Other values (6) 6
 
0.9%
Hangul
ValueCountFrequency (%)
구 146
14.9%
로 92
 
9.4%
동 61
 
6.2%
서 54
 
5.5%
울 54
 
5.5%
특 54
 
5.5%
별 54
 
5.5%
시 54
 
5.5%
호 26
 
2.7%
지 24
 
2.5%
Other values (98) 359
36.7%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

도로명주소
Text

Distinct49
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-11T17:07:10.856513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44.5
Mean length39.018519
Min length24

Characters and Unicode

Total characters2107
Distinct characters140
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)83.3%

Sample

1st row서울특별시 구로구 구로중앙로 ***, **층 ****호 (구로동, 신구로자이나인스에비뉴)
2nd row서울특별시 구로구 디지털로**길 **, ***-N**호 (구로동)
3rd row서울특별시 구로구 디지털로 ***, ***호 (구로동, 벽산*차 디지털밸리)
4th row서울특별시 구로구 새말로 **, *층 (구로동)
5th row서울특별시 구로구 안양천로***가길 **-*, ***호 (고척동)
ValueCountFrequency (%)
서울특별시 54
14.5%
구로구 54
14.5%
54
14.5%
구로동 37
 
9.9%
호 29
 
7.8%
디지털로**길 12
 
3.2%
층 9
 
2.4%
동 7
 
1.9%
개봉동 6
 
1.6%
디지털로 5
 
1.3%
Other values (73) 105
28.2%
2024-05-11T17:07:11.260493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 368
17.5%
318
15.1%
구 151
 
7.2%
로 151
 
7.2%
동 63
 
3.0%
, 61
 
2.9%
) 54
 
2.6%
울 54
 
2.6%
( 54
 
2.6%
서 54
 
2.6%
Other values (130) 779
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1215
57.7%
Other Punctuation 429
 
20.4%
Space Separator 318
 
15.1%
Close Punctuation 54
 
2.6%
Open Punctuation 54
 
2.6%
Dash Punctuation 15
 
0.7%
Decimal Number 15
 
0.7%
Uppercase Letter 5
 
0.2%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 151
 
12.4%
로 151
 
12.4%
동 63
 
5.2%
울 54
 
4.4%
서 54
 
4.4%
시 54
 
4.4%
별 54
 
4.4%
특 54
 
4.4%
호 37
 
3.0%
길 35
 
2.9%
Other values (111) 508
41.8%
Decimal Number
ValueCountFrequency (%)
0 4
26.7%
1 2
13.3%
7 2
13.3%
2 2
13.3%
9 1
 
6.7%
4 1
 
6.7%
5 1
 
6.7%
6 1
 
6.7%
8 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
60.0%
N 1
 
20.0%
C 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
* 368
85.8%
, 61
 
14.2%
Space Separator
ValueCountFrequency (%)
318
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1215
57.7%
Common 885
42.0%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 151
 
12.4%
로 151
 
12.4%
동 63
 
5.2%
울 54
 
4.4%
서 54
 
4.4%
시 54
 
4.4%
별 54
 
4.4%
특 54
 
4.4%
호 37
 
3.0%
길 35
 
2.9%
Other values (111) 508
41.8%
Common
ValueCountFrequency (%)
* 368
41.6%
318
35.9%
, 61
 
6.9%
) 54
 
6.1%
( 54
 
6.1%
- 15
 
1.7%
0 4
 
0.5%
1 2
 
0.2%
7 2
 
0.2%
2 2
 
0.2%
Other values (5) 5
 
0.6%
Latin
ValueCountFrequency (%)
B 3
42.9%
Ⅲ 2
28.6%
N 1
 
14.3%
C 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1215
57.7%
ASCII 890
42.2%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 368
41.3%
318
35.7%
, 61
 
6.9%
) 54
 
6.1%
( 54
 
6.1%
- 15
 
1.7%
0 4
 
0.4%
B 3
 
0.3%
1 2
 
0.2%
7 2
 
0.2%
Other values (8) 9
 
1.0%
Hangul
ValueCountFrequency (%)
구 151
 
12.4%
로 151
 
12.4%
동 63
 
5.2%
울 54
 
4.4%
서 54
 
4.4%
시 54
 
4.4%
별 54
 
4.4%
특 54
 
4.4%
호 37
 
3.0%
길 35
 
2.9%
Other values (111) 508
41.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

도로명우편번호
Real number (ℝ)

Distinct35
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8319.8333
Minimum8204
Maximum8393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-11T17:07:11.407075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8204
5-th percentile8211.9
Q18272
median8303.5
Q38380.25
95-th percentile8392.35
Maximum8393
Range189
Interquartile range (IQR)108.25

Descriptive statistics

Standard deviation63.230859
Coefficient of variation (CV)0.0076000151
Kurtosis-1.3269786
Mean8319.8333
Median Absolute Deviation (MAD)72.5
Skewness-0.30123918
Sum449271
Variance3998.1415
MonotonicityNot monotonic
2024-05-11T17:07:11.788483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8390 5
 
9.3%
8288 4
 
7.4%
8381 4
 
7.4%
8378 4
 
7.4%
8376 3
 
5.6%
8393 3
 
5.6%
8271 2
 
3.7%
8294 2
 
3.7%
8214 1
 
1.9%
8229 1
 
1.9%
Other values (25) 25
46.3%
ValueCountFrequency (%)
8204 1
1.9%
8207 1
1.9%
8208 1
1.9%
8214 1
1.9%
8221 1
1.9%
8227 1
1.9%
8229 1
1.9%
8233 1
1.9%
8255 1
1.9%
8260 1
1.9%
ValueCountFrequency (%)
8393 3
5.6%
8392 1
 
1.9%
8390 5
9.3%
8389 1
 
1.9%
8381 4
7.4%
8378 4
7.4%
8377 1
 
1.9%
8376 3
5.6%
8375 1
 
1.9%
8353 1
 
1.9%

사업장명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-05-11T17:07:12.007503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length15
Mean length10.666667
Min length3

Characters and Unicode

Total characters576
Distinct characters132
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row이더블유더블유(주)
2nd row브로스이엔티
3rd row주식회사 루스
4th row클 모델 에이전시
5th row디지엔터테인먼트
ValueCountFrequency (%)
주식회사 13
 
16.2%
엔터테인먼트 2
 
2.5%
레코드 2
 
2.5%
entertainment 2
 
2.5%
이더블유더블유(주 1
 
1.2%
엘와이엔터테인먼트 1
 
1.2%
매직버스 1
 
1.2%
베스트윌 1
 
1.2%
빅스타엠코리아 1
 
1.2%
트로이 1
 
1.2%
Other values (55) 55
68.8%
2024-05-11T17:07:12.373593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 30
 
5.2%
26
 
4.5%
트 25
 
4.3%
이 24
 
4.2%
엔 24
 
4.2%
( 23
 
4.0%
) 23
 
4.0%
인 21
 
3.6%
터 19
 
3.3%
먼 19
 
3.3%
Other values (122) 342
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
75.7%
Uppercase Letter 41
 
7.1%
Space Separator 26
 
4.5%
Lowercase Letter 24
 
4.2%
Open Punctuation 23
 
4.0%
Close Punctuation 23
 
4.0%
Decimal Number 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 30
 
6.9%
트 25
 
5.7%
이 24
 
5.5%
엔 24
 
5.5%
인 21
 
4.8%
터 19
 
4.4%
먼 19
 
4.4%
테 19
 
4.4%
스 16
 
3.7%
회 14
 
3.2%
Other values (90) 225
51.6%
Uppercase Letter
ValueCountFrequency (%)
E 7
17.1%
T 5
12.2%
A 4
9.8%
N 4
9.8%
L 2
 
4.9%
D 2
 
4.9%
F 2
 
4.9%
I 2
 
4.9%
U 2
 
4.9%
M 2
 
4.9%
Other values (9) 9
22.0%
Lowercase Letter
ValueCountFrequency (%)
t 6
25.0%
n 6
25.0%
e 4
16.7%
r 2
 
8.3%
a 2
 
8.3%
i 2
 
8.3%
m 2
 
8.3%
Decimal Number
ValueCountFrequency (%)
7 1
33.3%
5 1
33.3%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
75.7%
Common 75
 
13.0%
Latin 65
 
11.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 30
 
6.9%
트 25
 
5.7%
이 24
 
5.5%
엔 24
 
5.5%
인 21
 
4.8%
터 19
 
4.4%
먼 19
 
4.4%
테 19
 
4.4%
스 16
 
3.7%
회 14
 
3.2%
Other values (90) 225
51.6%
Latin
ValueCountFrequency (%)
E 7
 
10.8%
t 6
 
9.2%
n 6
 
9.2%
T 5
 
7.7%
e 4
 
6.2%
A 4
 
6.2%
N 4
 
6.2%
L 2
 
3.1%
D 2
 
3.1%
r 2
 
3.1%
Other values (16) 23
35.4%
Common
ValueCountFrequency (%)
26
34.7%
( 23
30.7%
) 23
30.7%
7 1
 
1.3%
5 1
 
1.3%
2 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
75.7%
ASCII 140
 
24.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 30
 
6.9%
트 25
 
5.7%
이 24
 
5.5%
엔 24
 
5.5%
인 21
 
4.8%
터 19
 
4.4%
먼 19
 
4.4%
테 19
 
4.4%
스 16
 
3.7%
회 14
 
3.2%
Other values (90) 225
51.6%
ASCII
ValueCountFrequency (%)
26
18.6%
( 23
16.4%
) 23
16.4%
E 7
 
5.0%
t 6
 
4.3%
n 6
 
4.3%
T 5
 
3.6%
e 4
 
2.9%
A 4
 
2.9%
N 4
 
2.9%
Other values (22) 32
22.9%

최종수정일자
Date

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2015-05-28 17:39:45
Maximum2023-12-14 11:05:25
2024-05-11T17:07:12.513131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:07:12.658054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
I
36 
U
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 36
66.7%
U 18
33.3%

Length

2024-05-11T17:07:12.810988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:12.910789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 36
66.7%
u 18
33.3%

데이터갱신일자
Date

Distinct43
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size564.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-09 00:01:00
2024-05-11T17:07:13.030233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:07:13.187153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

좌표정보(X)
Real number (ℝ)

Distinct43
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189421.17
Minimum184180.37
Maximum191043.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-11T17:07:13.327961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184180.37
5-th percentile186144.88
Q1188436.07
median190232.52
Q3190655.93
95-th percentile190983.11
Maximum191043.45
Range6863.0847
Interquartile range (IQR)2219.863

Descriptive statistics

Standard deviation1790.3875
Coefficient of variation (CV)0.0094518869
Kurtosis0.40712897
Mean189421.17
Median Absolute Deviation (MAD)543.94401
Skewness-1.2569941
Sum10228743
Variance3205487.2
MonotonicityNot monotonic
2024-05-11T17:07:13.456181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
190232.524534335 4
 
7.4%
190776.468544178 3
 
5.6%
190967.257864999 3
 
5.6%
186144.880821445 2
 
3.7%
190528.450104488 2
 
3.7%
190491.833060361 2
 
3.7%
190680.536850936 2
 
3.7%
189911.360325159 1
 
1.9%
190352.185129194 1
 
1.9%
188803.584525504 1
 
1.9%
Other values (33) 33
61.1%
ValueCountFrequency (%)
184180.366587535 1
1.9%
185258.736233492 1
1.9%
186144.880821445 2
3.7%
186369.935664542 1
1.9%
186433.563471491 1
1.9%
186710.69112857 1
1.9%
186900.053824655 1
1.9%
186963.14991618 1
1.9%
186968.288544829 1
1.9%
187148.479908899 1
1.9%
ValueCountFrequency (%)
191043.451267658 1
 
1.9%
191002.243483409 1
 
1.9%
190987.661570042 1
 
1.9%
190980.657371441 1
 
1.9%
190967.257864999 3
5.6%
190845.231594802 1
 
1.9%
190776.468544178 3
5.6%
190680.536850936 2
3.7%
190671.436719919 1
 
1.9%
190609.413674522 1
 
1.9%

좌표정보(Y)
Real number (ℝ)

Distinct43
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443437.41
Minimum442219.14
Maximum445263.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-11T17:07:13.585204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442219.14
5-th percentile442305.22
Q1442488.1
median443415.96
Q3444305.83
95-th percentile445073.83
Maximum445263.7
Range3044.5632
Interquartile range (IQR)1817.731

Descriptive statistics

Standard deviation1007.3987
Coefficient of variation (CV)0.0022717945
Kurtosis-1.3188313
Mean443437.41
Median Absolute Deviation (MAD)911.80062
Skewness0.35989675
Sum23945620
Variance1014852.1
MonotonicityNot monotonic
2024-05-11T17:07:13.707324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
444978.682746138 4
 
7.4%
442370.143700207 3
 
5.6%
442305.216740774 3
 
5.6%
443706.570673762 2
 
3.7%
442352.770364667 2
 
3.7%
442477.332680657 2
 
3.7%
442392.645303533 2
 
3.7%
444351.602119026 1
 
1.9%
443799.918089908 1
 
1.9%
444640.792715551 1
 
1.9%
Other values (33) 33
61.1%
ValueCountFrequency (%)
442219.137493629 1
 
1.9%
442224.13121712 1
 
1.9%
442305.216740774 3
5.6%
442352.770364667 2
3.7%
442370.143700207 3
5.6%
442392.645303533 2
3.7%
442477.332680657 2
3.7%
442520.393753523 1
 
1.9%
442547.689997913 1
 
1.9%
442558.310755613 1
 
1.9%
ValueCountFrequency (%)
445263.700689907 1
 
1.9%
445262.493847028 1
 
1.9%
445250.538868558 1
 
1.9%
444978.682746138 4
7.4%
444641.195597671 1
 
1.9%
444640.792715551 1
 
1.9%
444612.318838181 1
 
1.9%
444371.244862115 1
 
1.9%
444351.602119026 1
 
1.9%
444343.995 1
 
1.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
대중문화예술기획업
34 
<NA>
20 

Length

Max length9
Median length9
Mean length7.1481481
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 34
63.0%
<NA> 20
37.0%

Length

2024-05-11T17:07:13.836406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:13.933360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 34
63.0%
na 20
37.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
유통관련업
34 
<NA>
20 

Length

Max length5
Median length5
Mean length4.6296296
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 34
63.0%
<NA> 20
37.0%

Length

2024-05-11T17:07:14.039660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:14.139737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 34
63.0%
na 20
37.0%

총층수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
47 
0
7 

Length

Max length4
Median length4
Mean length3.6111111
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> 47
87.0%
0 7
 
13.0%

Length

2024-05-11T17:07:14.240482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:14.346703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
87.0%
0 7
 
13.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

제작취급품목내용
Text

MISSING 

Distinct27
Distinct (%)79.4%
Missing20
Missing (%)37.0%
Memory size564.0 B
2024-05-11T17:07:14.524797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length29
Mean length13.470588
Min length4

Characters and Unicode

Total characters458
Distinct characters77
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)76.5%

Sample

1st row공연기획, 앨범기획, 아티스트 기획
2nd row연예인 및 공인매니저업, 공연기획업 등
3rd row엔터테인먼트, 에이전시, 공연
4th row모델 에이전시
5th row연예인매니지먼트, 공연기획
ValueCountFrequency (%)
엔터테인먼트 13
18.6%
매니지먼트 6
 
8.6%
공연기획 6
 
8.6%
기획 3
 
4.3%
등 3
 
4.3%
에이전시 3
 
4.3%
및 2
 
2.9%
연예인매니지먼트 2
 
2.9%
공연 2
 
2.9%
연예인 2
 
2.9%
Other values (28) 28
40.0%
2024-05-11T17:07:14.877962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
7.9%
트 32
 
7.0%
먼 31
 
6.8%
연 21
 
4.6%
인 20
 
4.4%
니 18
 
3.9%
매 18
 
3.9%
, 18
 
3.9%
지 16
 
3.5%
기 14
 
3.1%
Other values (67) 234
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 356
77.7%
Space Separator 36
 
7.9%
Other Punctuation 30
 
6.6%
Decimal Number 24
 
5.2%
Open Punctuation 4
 
0.9%
Dash Punctuation 4
 
0.9%
Close Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 32
 
9.0%
먼 31
 
8.7%
연 21
 
5.9%
인 20
 
5.6%
니 18
 
5.1%
매 18
 
5.1%
지 16
 
4.5%
기 14
 
3.9%
획 14
 
3.9%
엔 14
 
3.9%
Other values (52) 158
44.4%
Decimal Number
ValueCountFrequency (%)
0 5
20.8%
2 4
16.7%
8 4
16.7%
6 3
12.5%
1 3
12.5%
7 2
 
8.3%
4 1
 
4.2%
9 1
 
4.2%
3 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 18
60.0%
. 12
40.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 356
77.7%
Common 102
 
22.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 32
 
9.0%
먼 31
 
8.7%
연 21
 
5.9%
인 20
 
5.6%
니 18
 
5.1%
매 18
 
5.1%
지 16
 
4.5%
기 14
 
3.9%
획 14
 
3.9%
엔 14
 
3.9%
Other values (52) 158
44.4%
Common
ValueCountFrequency (%)
36
35.3%
, 18
17.6%
. 12
 
11.8%
0 5
 
4.9%
( 4
 
3.9%
2 4
 
3.9%
8 4
 
3.9%
- 4
 
3.9%
) 4
 
3.9%
6 3
 
2.9%
Other values (5) 8
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 356
77.7%
ASCII 102
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
35.3%
, 18
17.6%
. 12
 
11.8%
0 5
 
4.9%
( 4
 
3.9%
2 4
 
3.9%
8 4
 
3.9%
- 4
 
3.9%
) 4
 
3.9%
6 3
 
2.9%
Other values (5) 8
 
7.8%
Hangul
ValueCountFrequency (%)
트 32
 
9.0%
먼 31
 
8.7%
연 21
 
5.9%
인 20
 
5.6%
니 18
 
5.1%
매 18
 
5.1%
지 16
 
4.5%
기 14
 
3.9%
획 14
 
3.9%
엔 14
 
3.9%
Other values (52) 158
44.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct14
Distinct (%)73.7%
Missing35
Missing (%)64.8%
Infinite0
Infinite (%)0.0%
Mean110.35211
Minimum0
Maximum986.55
Zeros6
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-05-11T17:07:15.015223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median96.36
Q3112.27
95-th percentile228.363
Maximum986.55
Range986.55
Interquartile range (IQR)112.27

Descriptive statistics

Standard deviation219.81393
Coefficient of variation (CV)1.9919323
Kurtosis16.058599
Mean110.35211
Median Absolute Deviation (MAD)56.36
Skewness3.8713049
Sum2096.69
Variance48318.162
MonotonicityNot monotonic
2024-05-11T17:07:15.157552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 6
 
11.1%
13.22 1
 
1.9%
96.36 1
 
1.9%
111.95 1
 
1.9%
100.55 1
 
1.9%
144.12 1
 
1.9%
135.27 1
 
1.9%
986.55 1
 
1.9%
112.59 1
 
1.9%
3.3 1
 
1.9%
Other values (4) 4
 
7.4%
(Missing) 35
64.8%
ValueCountFrequency (%)
0.0 6
11.1%
3.3 1
 
1.9%
13.22 1
 
1.9%
40.0 1
 
1.9%
96.36 1
 
1.9%
100.55 1
 
1.9%
102.24 1
 
1.9%
109.1 1
 
1.9%
111.95 1
 
1.9%
112.59 1
 
1.9%
ValueCountFrequency (%)
986.55 1
1.9%
144.12 1
1.9%
141.44 1
1.9%
135.27 1
1.9%
112.59 1
1.9%
111.95 1
1.9%
109.1 1
1.9%
102.24 1
1.9%
100.55 1
1.9%
96.36 1
1.9%

지상층수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
47 
0
7 

Length

Max length4
Median length4
Mean length3.6111111
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> 47
87.0%
0 7
 
13.0%

Length

2024-05-11T17:07:15.277620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:15.381631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
87.0%
0 7
 
13.0%

지하층수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
47 
0
7 

Length

Max length4
Median length4
Mean length3.6111111
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> 47
87.0%
0 7
 
13.0%

Length

2024-05-11T17:07:15.489984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:15.590827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
87.0%
0 7
 
13.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

통로너비
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
47 
0
7 

Length

Max length4
Median length4
Mean length3.6111111
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> 47
87.0%
0 7
 
13.0%

Length

2024-05-11T17:07:15.697919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:15.799000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
87.0%
0 7
 
13.0%

조명시설조도
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
47 
0
7 

Length

Max length4
Median length4
Mean length3.6111111
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> 47
87.0%
0 7
 
13.0%

Length

2024-05-11T17:07:15.927547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:16.032501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
87.0%
0 7
 
13.0%

노래방실수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
47 
0
7 

Length

Max length4
Median length4
Mean length3.6111111
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> 47
87.0%
0 7
 
13.0%

Length

2024-05-11T17:07:16.143641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:16.263953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
87.0%
0 7
 
13.0%

청소년실수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
47 
0
7 

Length

Max length4
Median length4
Mean length3.6111111
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> 47
87.0%
0 7
 
13.0%

Length

2024-05-11T17:07:16.389997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:16.494594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
87.0%
0 7
 
13.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

총게임기수
Categorical

Distinct2
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
<NA>
47 
0
7 

Length

Max length4
Median length4
Mean length3.6111111
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> 47
87.0%
0 7
 
13.0%

Length

2024-05-11T17:07:16.594432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:07:16.693944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
87.0%
0 7
 
13.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing54
Missing (%)100.0%
Memory size618.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFF324109201500000120150403<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 *** 신구로자이나인스에비뉴서울특별시 구로구 구로중앙로 ***, **층 ****호 (구로동, 신구로자이나인스에비뉴)8293이더블유더블유(주)2021-02-23 10:49:46U2021-02-25 02:40:00.0<NA>189682.799435444193.860003대중문화예술기획업유통관련업<NA><NA>공연기획, 앨범기획, 아티스트 기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13160000CDFF324109201500000220150528<NA>1영업/정상13영업중<NA><NA><NA><NA>1599-0741<NA><NA>서울특별시 구로구 구로동 ***-**번지 ***-N호서울특별시 구로구 디지털로**길 **, ***-N**호 (구로동)8381브로스이엔티2015-05-28 17:39:45I2018-08-31 23:59:59.0<NA>190491.83306442477.332681대중문화예술기획업유통관련업<NA><NA>연예인 및 공인매니저업, 공연기획업 등13.22<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000CDFF324109201500000320150703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-**번지서울특별시 구로구 디지털로 ***, ***호 (구로동, 벽산*차 디지털밸리)8381주식회사 루스2015-07-03 17:25:05I2018-08-31 23:59:59.0<NA>190528.450104442352.770365대중문화예술기획업유통관련업<NA><NA>엔터테인먼트, 에이전시, 공연<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000CDFF324109201500000620150714<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 *-**번지 *층서울특별시 구로구 새말로 **, *층 (구로동)8288클 모델 에이전시2015-07-14 11:29:16I2018-08-31 23:59:59.0<NA>190232.524534444978.682746대중문화예술기획업유통관련업<NA><NA>모델 에이전시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43160000CDFF324109201500000720150724<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2646-5769<NA><NA>서울특별시 구로구 고척동 **-**번지 ***호서울특별시 구로구 안양천로***가길 **-*, ***호 (고척동)8221디지엔터테인먼트2015-07-24 17:20:51I2018-08-31 23:59:59.0<NA>188313.5625444371.244862대중문화예술기획업유통관련업<NA><NA>연예인매니지먼트, 공연기획96.36<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53160000CDFF32410920150000082015-08-04<NA>5제외/삭제/전출15전출2023-03-24<NA><NA><NA>02-6279-1003<NA><NA>서울특별시 구로구 구로동 **-*서울특별시 구로구 공원로*가길 ** (구로동, 정진빌딩)8289케이메카2023-03-24 15:35:32U2022-12-02 22:06:00.0<NA>190212.557585444612.318838<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63160000CDFF32410920150000092015-08-04<NA>3폐업3폐업2023-07-26<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-** 코오롱싸이언스밸리*차 ***-*호서울특별시 구로구 디지털로**길 ** (구로동, 코오롱싸이언스밸리*차)8378(주)에그플랜트2023-07-27 09:25:53U2022-12-06 22:09:00.0<NA>190980.657371442547.689998<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73160000CDFF324109201500001020150804<NA>1영업/정상13영업중<NA><NA><NA><NA>02-535-5351<NA><NA>서울특별시 구로구 고척동 **-**번지 현대우성아파트 ***동 ***호서울특별시 구로구 중앙로*길 **-** (고척동, 우성현대아파트)8227피플컴퍼니2015-08-04 11:40:52I2018-08-31 23:59:59.0<NA>187797.525601444079.473326대중문화예술기획업유통관련업<NA><NA>공연기획, 엔터테인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83160000CDFF324109201500001220150826<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2616-7177<NA><NA>서울특별시 구로구 개봉동 ***-**번지 진주빌라 D동 ***호서울특별시 구로구 개봉로*길 ***-* (개봉동, 진주빌라)8351제임엠컴퍼니2015-08-26 09:39:10I2018-08-31 23:59:59.0<NA>186710.691129442520.393754대중문화예술기획업유통관련업<NA><NA>연예기획매니지먼트,음반제작, 공연기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93160000CDFF324109201500001320150827<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2616-6607<NA><NA>서울특별시 구로구 궁동 ***-*번지 *층서울특별시 구로구 부일로**길 ** (궁동)8255(주)엠엔터테인먼트2015-08-27 10:49:19I2018-08-31 23:59:59.0<NA>185258.736233443538.789117대중문화예술기획업유통관련업<NA><NA>공연 예술 기획111.95<NA><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
443160000CDFF324109202200000420220530<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 예성유토피아 ***동 ***호서울특별시 구로구 도림천로 ***, 예성유토피아 ***동 ***호 (구로동)8378듀(DUE)2022-05-30 09:14:01I2021-12-06 00:01:00.0<NA>191043.451268442580.4728<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453160000CDFF324109202200000520220609<NA>5제외/삭제/전출15전출20220622<NA><NA><NA>02-595-8865<NA><NA>서울특별시 구로구 구로동 ***-** 대륭포스트타워*차 ***호서울특별시 구로구 디지털로**길 **, 대륭포스트타워*차 ***호 (구로동)8377크리빗2022-06-22 15:29:11U2021-12-05 22:04:00.0<NA>190609.413675442782.030555<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463160000CDFF324109202200000720221020<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 하나세인스톤 ***호서울특별시 구로구 구로중앙로**다길 **, 하나세인스톤 ***호 (구로동)8295투엔드 플로어 레코드2022-10-20 13:39:38I2021-10-30 22:02:00.0<NA>190113.7444343.995<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473160000CDFF32410920230000012023-01-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 ***-* 보미플라자 B***호서울특별시 구로구 경인로**길 **, 보미플라자 B***호 (신도림동)8207레전드엔터테인먼트2023-05-04 16:58:41I2022-12-05 00:07:00.0<NA>189772.876109445262.493847<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483160000CDFF32410920230000022023-05-31<NA>3폐업3폐업2023-08-30<NA><NA><NA><NA><NA><NA>서울특별시 구로구 온수동 **서울특별시 구로구 부일로*길 **-**, ***호 (온수동)8260유한회사 하늘프러덕션스2023-08-30 11:55:52U2022-12-09 00:01:00.0<NA>184180.366588443514.260744<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493160000CDFF32410920230000032015-07-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-** 마리오타워 ****호서울특별시 구로구 디지털로**길 **, 마리오타워 ****호 (구로동)8389주식회사 디케이이앤티2023-07-17 16:56:07I2022-12-06 23:09:00.0<NA>190671.43672442219.137494<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503160000CDFF32410920230000042023-08-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 예성유토피아 ***동 ***호서울특별시 구로구 도림천로 ***, 예성유토피아 ***동 ***호 (구로동)8378257엔터테인먼트 주식회사2023-08-22 18:02:44I2022-12-07 22:04:00.0<NA>191002.243483442614.803166<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513160000CDFF32410920230000052023-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 *-** 신도림테크노마트 제*층 제창***-*호(문패상 *호)서울특별시 구로구 새말로 **, 신도림테크노마트 *층 제창***-*호 (구로동)8288주식회사 이노션글로브2023-10-13 08:58:49I2022-10-30 23:05:00.0<NA>190232.524534444978.682746<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523160000CDFF32410920230000062020-11-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 신도림동 ***-* *층 내제*호서울특별시 구로구 신도림로**길 **, *층 내제*호 (신도림동)8204에이엠엑스 엔터테인먼트(AMX Entertainment)2023-12-06 10:46:30U2022-11-02 00:09:00.0<NA>189187.772921445263.70069<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533160000CDFF32410920230000072023-12-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 오류동 **-* 하늘쉼빌딩서울특별시 구로구 경인로**가길 *, *층 ***-***호 (오류동)8271(주)팔컴홀딩스2023-12-14 11:05:25I2022-11-01 23:06:00.0<NA>186144.880821443706.570674<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>