Overview

Dataset statistics

Number of variables56
Number of observations57
Missing cells1590
Missing cells (%)49.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory27.2 KiB
Average record size in memory488.3 B

Variable types

Categorical16
Text8
DateTime4
Unsupported22
Numeric6

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-17818/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (74.3%)Imbalance
지하층수 is highly imbalanced (55.2%)Imbalance
통로너비 is highly imbalanced (78.1%)Imbalance
조명시설조도 is highly imbalanced (78.1%)Imbalance
노래방실수 is highly imbalanced (78.1%)Imbalance
청소년실수 is highly imbalanced (78.1%)Imbalance
총게임기수 is highly imbalanced (78.1%)Imbalance
지역구분명 is highly imbalanced (63.6%)Imbalance
인허가취소일자 has 57 (100.0%) missing valuesMissing
폐업일자 has 41 (71.9%) missing valuesMissing
휴업시작일자 has 57 (100.0%) missing valuesMissing
휴업종료일자 has 57 (100.0%) missing valuesMissing
재개업일자 has 57 (100.0%) missing valuesMissing
전화번호 has 36 (63.2%) missing valuesMissing
소재지면적 has 57 (100.0%) missing valuesMissing
도로명우편번호 has 6 (10.5%) missing valuesMissing
업태구분명 has 57 (100.0%) missing valuesMissing
총층수 has 41 (71.9%) missing valuesMissing
주변환경명 has 54 (94.7%) missing valuesMissing
제작취급품목내용 has 31 (54.4%) missing valuesMissing
시설면적 has 34 (59.6%) missing valuesMissing
지상층수 has 43 (75.4%) missing valuesMissing
건물용도명 has 50 (87.7%) missing valuesMissing
비상계단여부 has 57 (100.0%) missing valuesMissing
비상구여부 has 57 (100.0%) missing valuesMissing
자동환기여부 has 57 (100.0%) missing valuesMissing
청소년실여부 has 57 (100.0%) missing valuesMissing
특수조명여부 has 57 (100.0%) missing valuesMissing
방음시설여부 has 57 (100.0%) missing valuesMissing
비디오재생기명 has 57 (100.0%) missing valuesMissing
조명시설유무 has 57 (100.0%) missing valuesMissing
음향시설여부 has 57 (100.0%) missing valuesMissing
편의시설여부 has 57 (100.0%) missing valuesMissing
소방시설여부 has 57 (100.0%) missing valuesMissing
기존게임업외업종명 has 57 (100.0%) missing valuesMissing
제공게임물명 has 57 (100.0%) missing valuesMissing
공연장형태구분명 has 57 (100.0%) missing valuesMissing
품목명 has 57 (100.0%) missing valuesMissing
최초등록시점 has 57 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
업태구분명 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
총층수 has 2 (3.5%) zerosZeros
시설면적 has 1 (1.8%) zerosZeros
지상층수 has 2 (3.5%) zerosZeros

Reproduction

Analysis started2024-05-11 08:47:58.816953
Analysis finished2024-05-11 08:48:00.311681
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
3160000
57 

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 57
100.0%

Length

2024-05-11T08:48:00.897136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:01.392297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3160000 57
100.0%

관리번호
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-05-11T08:48:01.987062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1140
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

Unique57 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061997000001
2nd rowCDFF3241062002000001
3rd rowCDFF3241062004000001
4th rowCDFF3241062006000001
5th rowCDFF3241062006000002
ValueCountFrequency (%)
cdff3241061997000001 1
 
1.8%
cdff3241062016000002 1
 
1.8%
cdff3241062017000001 1
 
1.8%
cdff3241062017000002 1
 
1.8%
cdff3241062017000003 1
 
1.8%
cdff3241062018000001 1
 
1.8%
cdff3241062018000002 1
 
1.8%
cdff3241062018000003 1
 
1.8%
cdff3241062019000001 1
 
1.8%
cdff3241062019000002 1
 
1.8%
Other values (47) 47
82.5%
2024-05-11T08:48:03.122451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 411
36.1%
2 151
 
13.2%
F 114
 
10.0%
1 112
 
9.8%
3 80
 
7.0%
4 71
 
6.2%
6 61
 
5.4%
C 57
 
5.0%
D 57
 
5.0%
9 7
 
0.6%
Other values (3) 19
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 912
80.0%
Uppercase Letter 228
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 411
45.1%
2 151
 
16.6%
1 112
 
12.3%
3 80
 
8.8%
4 71
 
7.8%
6 61
 
6.7%
9 7
 
0.8%
5 7
 
0.8%
7 6
 
0.7%
8 6
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 114
50.0%
C 57
25.0%
D 57
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 912
80.0%
Latin 228
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 411
45.1%
2 151
 
16.6%
1 112
 
12.3%
3 80
 
8.8%
4 71
 
7.8%
6 61
 
6.7%
9 7
 
0.8%
5 7
 
0.8%
7 6
 
0.7%
8 6
 
0.7%
Latin
ValueCountFrequency (%)
F 114
50.0%
C 57
25.0%
D 57
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 411
36.1%
2 151
 
13.2%
F 114
 
10.0%
1 112
 
9.8%
3 80
 
7.0%
4 71
 
6.2%
6 61
 
5.4%
C 57
 
5.0%
D 57
 
5.0%
9 7
 
0.6%
Other values (3) 19
 
1.7%

인허가일자
Date

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum1997-01-13 00:00:00
Maximum2023-11-30 00:00:00
2024-05-11T08:48:03.787329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:48:04.265716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
1
41 
3
15 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
1 41
71.9%
3 15
 
26.3%
5 1
 
1.8%

Length

2024-05-11T08:48:04.656849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:05.053891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
71.9%
3 15
 
26.3%
5 1
 
1.8%

영업상태명
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
영업/정상
41 
폐업
15 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.2631579
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 41
71.9%
폐업 15
 
26.3%
제외/삭제/전출 1
 
1.8%

Length

2024-05-11T08:48:05.532102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:05.942365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 41
71.9%
폐업 15
 
26.3%
제외/삭제/전출 1
 
1.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
13
41 
3
15 
15
 
1

Length

Max length2
Median length2
Mean length1.7368421
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
13 41
71.9%
3 15
 
26.3%
15 1
 
1.8%

Length

2024-05-11T08:48:06.403821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:06.951737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 41
71.9%
3 15
 
26.3%
15 1
 
1.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size588.0 B
영업중
41 
폐업
15 
전출
 
1

Length

Max length3
Median length3
Mean length2.7192982
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 41
71.9%
폐업 15
 
26.3%
전출 1
 
1.8%

Length

2024-05-11T08:48:07.362408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:07.772420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 41
71.9%
폐업 15
 
26.3%
전출 1
 
1.8%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)93.8%
Missing41
Missing (%)71.9%
Memory size588.0 B
Minimum2008-06-10 00:00:00
Maximum2023-12-01 00:00:00
2024-05-11T08:48:08.044115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:48:08.688220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

전화번호
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing36
Missing (%)63.2%
Memory size588.0 B
2024-05-11T08:48:09.328161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.333333
Min length8

Characters and Unicode

Total characters238
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

Unique21 ?
Unique (%)100.0%

Sample

1st row2025-7878
2nd row02-2025-0604
3rd row857-6394
4th row864-0958
5th row070-7011-5793
ValueCountFrequency (%)
2025-7878 1
 
4.8%
02-868-0100 1
 
4.8%
0507-1354-4726 1
 
4.8%
02-855-2139 1
 
4.8%
02-3272-3360 1
 
4.8%
02-853-0360 1
 
4.8%
070-8611-6240 1
 
4.8%
02-830-1592 1
 
4.8%
02-2082-0361 1
 
4.8%
02-337-0495 1
 
4.8%
Other values (11) 11
52.4%
2024-05-11T08:48:10.301817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 44
18.5%
- 38
16.0%
2 30
12.6%
3 23
9.7%
7 21
8.8%
8 17
 
7.1%
6 17
 
7.1%
5 14
 
5.9%
1 14
 
5.9%
4 12
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
84.0%
Dash Punctuation 38
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
22.0%
2 30
15.0%
3 23
11.5%
7 21
10.5%
8 17
 
8.5%
6 17
 
8.5%
5 14
 
7.0%
1 14
 
7.0%
4 12
 
6.0%
9 8
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 238
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 44
18.5%
- 38
16.0%
2 30
12.6%
3 23
9.7%
7 21
8.8%
8 17
 
7.1%
6 17
 
7.1%
5 14
 
5.9%
1 14
 
5.9%
4 12
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 238
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 44
18.5%
- 38
16.0%
2 30
12.6%
3 23
9.7%
7 21
8.8%
8 17
 
7.1%
6 17
 
7.1%
5 14
 
5.9%
1 14
 
5.9%
4 12
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
52 
152848
 
2
152844
 
1
152894
 
1
152853
 
1

Length

Max length6
Median length4
Mean length4.1754386
Min length4

Unique

Unique3 ?
Unique (%)5.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row152848
5th row152848

Common Values

ValueCountFrequency (%)
<NA> 52
91.2%
152848 2
 
3.5%
152844 1
 
1.8%
152894 1
 
1.8%
152853 1
 
1.8%

Length

2024-05-11T08:48:10.856299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:11.296882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
91.2%
152848 2
 
3.5%
152844 1
 
1.8%
152894 1
 
1.8%
152853 1
 
1.8%

지번주소
Text

Distinct54
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-05-11T08:48:11.729435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37
Mean length30.350877
Min length21

Characters and Unicode

Total characters1730
Distinct characters94
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)89.5%

Sample

1st row서울특별시 구로구 구로동 ***-**번지 에이스테크노타워 *차 ***호
2nd row서울특별시 구로구 고척동 ***-*번지 *층
3rd row서울특별시 구로구 구로동 ***-***번지
4th row서울특별시 구로구 구로동 ***-*번지 에이스테크노타워*차 ***호
5th row서울특별시 구로구 구로동 ***-**번지 코오롱사이언스밸리 *차 ***호
ValueCountFrequency (%)
서울특별시 57
18.3%
구로구 57
18.3%
구로동 38
12.2%
번지 33
10.6%
호 30
9.6%
25
8.0%
개봉동 11
 
3.5%
층 7
 
2.3%
오류동 5
 
1.6%
지층 5
 
1.6%
Other values (30) 43
13.8%
2024-05-11T08:48:12.899853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 388
22.4%
282
16.3%
구 152
 
8.8%
로 98
 
5.7%
동 62
 
3.6%
서 57
 
3.3%
울 57
 
3.3%
특 57
 
3.3%
별 57
 
3.3%
시 57
 
3.3%
Other values (84) 463
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1000
57.8%
Other Punctuation 392
 
22.7%
Space Separator 282
 
16.3%
Dash Punctuation 55
 
3.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 152
15.2%
로 98
 
9.8%
동 62
 
6.2%
서 57
 
5.7%
울 57
 
5.7%
특 57
 
5.7%
별 57
 
5.7%
시 57
 
5.7%
지 42
 
4.2%
번 33
 
3.3%
Other values (79) 328
32.8%
Other Punctuation
ValueCountFrequency (%)
* 388
99.0%
, 4
 
1.0%
Space Separator
ValueCountFrequency (%)
282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1000
57.8%
Common 729
42.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 152
15.2%
로 98
 
9.8%
동 62
 
6.2%
서 57
 
5.7%
울 57
 
5.7%
특 57
 
5.7%
별 57
 
5.7%
시 57
 
5.7%
지 42
 
4.2%
번 33
 
3.3%
Other values (79) 328
32.8%
Common
ValueCountFrequency (%)
* 388
53.2%
282
38.7%
- 55
 
7.5%
, 4
 
0.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1000
57.8%
ASCII 730
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 388
53.2%
282
38.6%
- 55
 
7.5%
, 4
 
0.5%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
구 152
15.2%
로 98
 
9.8%
동 62
 
6.2%
서 57
 
5.7%
울 57
 
5.7%
특 57
 
5.7%
별 57
 
5.7%
시 57
 
5.7%
지 42
 
4.2%
번 33
 
3.3%
Other values (79) 328
32.8%

도로명주소
Text

Distinct56
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-05-11T08:48:13.609792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length37.894737
Min length22

Characters and Unicode

Total characters2160
Distinct characters113
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)96.5%

Sample

1st row서울특별시 구로구 디지털로**길 **, ***호 (구로동, 에이스테크노타워*차)
2nd row서울특별시 구로구 고척로**길 **-* (고척동,*층)
3rd row서울특별시 구로구 구로중앙로 **-* (구로동)
4th row서울특별시 구로구 디지털로**길 **, ***호 (구로동,에이스테크노타워*차)
5th row서울특별시 구로구 디지털로**길 **, ***호 (구로동,코오롱사이언스밸리 *차)
ValueCountFrequency (%)
58
15.3%
서울특별시 57
15.1%
구로구 57
15.1%
호 36
9.5%
구로동 31
 
8.2%
디지털로**길 20
 
5.3%
개봉동 13
 
3.4%
층 11
 
2.9%
경인로**길 9
 
2.4%
오류동 4
 
1.1%
Other values (62) 82
21.7%
2024-05-11T08:48:14.999887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 397
18.4%
330
15.3%
로 161
 
7.5%
구 159
 
7.4%
, 71
 
3.3%
동 69
 
3.2%
시 58
 
2.7%
서 57
 
2.6%
특 57
 
2.6%
별 57
 
2.6%
Other values (103) 744
34.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1232
57.0%
Other Punctuation 468
 
21.7%
Space Separator 330
 
15.3%
Close Punctuation 57
 
2.6%
Open Punctuation 57
 
2.6%
Dash Punctuation 11
 
0.5%
Uppercase Letter 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 161
 
13.1%
구 159
 
12.9%
동 69
 
5.6%
시 58
 
4.7%
서 57
 
4.6%
특 57
 
4.6%
별 57
 
4.6%
울 57
 
4.6%
길 44
 
3.6%
호 37
 
3.0%
Other values (95) 476
38.6%
Other Punctuation
ValueCountFrequency (%)
* 397
84.8%
, 71
 
15.2%
Space Separator
ValueCountFrequency (%)
330
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1230
56.9%
Common 925
42.8%
Latin 3
 
0.1%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 161
 
13.1%
구 159
 
12.9%
동 69
 
5.6%
시 58
 
4.7%
서 57
 
4.6%
특 57
 
4.6%
별 57
 
4.6%
울 57
 
4.6%
길 44
 
3.6%
호 37
 
3.0%
Other values (93) 474
38.5%
Common
ValueCountFrequency (%)
* 397
42.9%
330
35.7%
, 71
 
7.7%
) 57
 
6.2%
( 57
 
6.2%
- 11
 
1.2%
~ 2
 
0.2%
Han
ValueCountFrequency (%)
成 1
50.0%
大 1
50.0%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1230
56.9%
ASCII 928
43.0%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 397
42.8%
330
35.6%
, 71
 
7.7%
) 57
 
6.1%
( 57
 
6.1%
- 11
 
1.2%
B 3
 
0.3%
~ 2
 
0.2%
Hangul
ValueCountFrequency (%)
로 161
 
13.1%
구 159
 
12.9%
동 69
 
5.6%
시 58
 
4.7%
서 57
 
4.6%
특 57
 
4.6%
별 57
 
4.6%
울 57
 
4.6%
길 44
 
3.6%
호 37
 
3.0%
Other values (93) 474
38.5%
CJK
ValueCountFrequency (%)
成 1
50.0%
大 1
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)64.7%
Missing6
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean16823.843
Minimum8215
Maximum152890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T08:48:15.552150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8215
5-th percentile8228.5
Q18276.5
median8347
Q38384.5
95-th percentile80600
Maximum152890
Range144675
Interquartile range (IQR)108

Descriptive statistics

Standard deviation34343.626
Coefficient of variation (CV)2.0413663
Kurtosis13.461856
Mean16823.843
Median Absolute Deviation (MAD)46
Skewness3.8645877
Sum858016
Variance1.1794846 × 109
MonotonicityNot monotonic
2024-05-11T08:48:16.069941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8389 4
 
7.0%
8380 4
 
7.0%
8289 4
 
7.0%
8390 3
 
5.3%
8378 3
 
5.3%
8276 2
 
3.5%
8302 2
 
3.5%
8235 2
 
3.5%
8271 2
 
3.5%
8277 2
 
3.5%
Other values (23) 23
40.4%
(Missing) 6
 
10.5%
ValueCountFrequency (%)
8215 1
1.8%
8222 1
1.8%
8224 1
1.8%
8233 1
1.8%
8235 2
3.5%
8239 1
1.8%
8247 1
1.8%
8268 1
1.8%
8271 2
3.5%
8276 2
3.5%
ValueCountFrequency (%)
152890 1
 
1.8%
152838 1
 
1.8%
152806 1
 
1.8%
8394 1
 
1.8%
8393 1
 
1.8%
8391 1
 
1.8%
8390 3
5.3%
8389 4
7.0%
8380 4
7.0%
8378 3
5.3%

사업장명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2024-05-11T08:48:16.849480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length10.087719
Min length3

Characters and Unicode

Total characters575
Distinct characters179
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row(주) 와이알 미디어
2nd rowDOPE ENTERTAINMENT
3rd row안데스매니아
4th row(주)유토포스에듀
5th row(주)한솔교육디지털사업본부
ValueCountFrequency (%)
주식회사 8
 
9.3%
프로덕션 2
 
2.3%
entertainment 2
 
2.3%
영상제작실 2
 
2.3%
스튜디오 2
 
2.3%
주 1
 
1.2%
kbs 1
 
1.2%
노래뮤비방 1
 
1.2%
주)아툰즈 1
 
1.2%
아싸노래뮤비방 1
 
1.2%
Other values (65) 65
75.6%
2024-05-11T08:48:18.190113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
5.0%
주 25
 
4.3%
( 20
 
3.5%
) 20
 
3.5%
이 13
 
2.3%
제 12
 
2.1%
트 12
 
2.1%
스 11
 
1.9%
영 11
 
1.9%
래 11
 
1.9%
Other values (169) 411
71.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 418
72.7%
Uppercase Letter 48
 
8.3%
Lowercase Letter 36
 
6.3%
Space Separator 29
 
5.0%
Open Punctuation 20
 
3.5%
Close Punctuation 20
 
3.5%
Other Punctuation 2
 
0.3%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
6.0%
이 13
 
3.1%
제 12
 
2.9%
트 12
 
2.9%
스 11
 
2.6%
영 11
 
2.6%
래 11
 
2.6%
사 11
 
2.6%
노 11
 
2.6%
작 10
 
2.4%
Other values (132) 291
69.6%
Uppercase Letter
ValueCountFrequency (%)
E 5
10.4%
T 5
10.4%
M 5
10.4%
A 4
 
8.3%
R 4
 
8.3%
S 4
 
8.3%
N 3
 
6.2%
B 2
 
4.2%
P 2
 
4.2%
I 2
 
4.2%
Other values (9) 12
25.0%
Lowercase Letter
ValueCountFrequency (%)
t 5
13.9%
n 4
11.1%
o 4
11.1%
e 4
11.1%
r 3
8.3%
i 3
8.3%
a 2
 
5.6%
c 2
 
5.6%
d 2
 
5.6%
m 2
 
5.6%
Other values (3) 5
13.9%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 418
72.7%
Latin 84
 
14.6%
Common 73
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 25
 
6.0%
이 13
 
3.1%
제 12
 
2.9%
트 12
 
2.9%
스 11
 
2.6%
영 11
 
2.6%
래 11
 
2.6%
사 11
 
2.6%
노 11
 
2.6%
작 10
 
2.4%
Other values (132) 291
69.6%
Latin
ValueCountFrequency (%)
t 5
 
6.0%
E 5
 
6.0%
T 5
 
6.0%
M 5
 
6.0%
A 4
 
4.8%
R 4
 
4.8%
n 4
 
4.8%
S 4
 
4.8%
o 4
 
4.8%
e 4
 
4.8%
Other values (22) 40
47.6%
Common
ValueCountFrequency (%)
29
39.7%
( 20
27.4%
) 20
27.4%
, 2
 
2.7%
- 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 418
72.7%
ASCII 157
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
18.5%
( 20
 
12.7%
) 20
 
12.7%
t 5
 
3.2%
E 5
 
3.2%
T 5
 
3.2%
M 5
 
3.2%
A 4
 
2.5%
R 4
 
2.5%
n 4
 
2.5%
Other values (27) 56
35.7%
Hangul
ValueCountFrequency (%)
주 25
 
6.0%
이 13
 
3.1%
제 12
 
2.9%
트 12
 
2.9%
스 11
 
2.6%
영 11
 
2.6%
래 11
 
2.6%
사 11
 
2.6%
노 11
 
2.6%
작 10
 
2.4%
Other values (132) 291
69.6%

최종수정일자
Date

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2006-02-08 10:55:02
Maximum2024-04-16 07:42:32
2024-05-11T08:48:18.858742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:48:19.683031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
I
40 
U
17 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 40
70.2%
U 17
29.8%

Length

2024-05-11T08:48:20.208011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:20.669607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 40
70.2%
u 17
29.8%

데이터갱신일자
Date

Distinct30
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:08:00
2024-05-11T08:48:21.251684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:48:21.785232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

좌표정보(X)
Real number (ℝ)

Distinct48
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189247.04
Minimum185115.9
Maximum191189.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T08:48:22.322487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185115.9
5-th percentile186090.34
Q1187468.9
median190229.52
Q3190676.95
95-th percentile190980.66
Maximum191189.17
Range6073.2676
Interquartile range (IQR)3208.0457

Descriptive statistics

Standard deviation1814.987
Coefficient of variation (CV)0.0095905699
Kurtosis-0.98151769
Mean189247.04
Median Absolute Deviation (MAD)657.60258
Skewness-0.77335044
Sum10787081
Variance3294177.7
MonotonicityNot monotonic
2024-05-11T08:48:22.939308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
190980.657371441 4
 
7.0%
190571.928127507 2
 
3.5%
190671.436719919 2
 
3.5%
190352.185129194 2
 
3.5%
186529.208696267 2
 
3.5%
190349.885855531 2
 
3.5%
190688.747501289 2
 
3.5%
190171.677862092 1
 
1.8%
187701.337760511 1
 
1.8%
190209.224234694 1
 
1.8%
Other values (38) 38
66.7%
ValueCountFrequency (%)
185115.903576225 1
1.8%
185837.924401264 1
1.8%
185953.543720033 1
1.8%
186124.539889379 1
1.8%
186143.039450549 1
1.8%
186472.55876554 1
1.8%
186529.208696267 2
3.5%
186962.629912931 1
1.8%
186968.288544829 1
1.8%
187148.479908899 1
1.8%
ValueCountFrequency (%)
191189.171149286 1
 
1.8%
190980.657371441 4
7.0%
190919.498006713 1
 
1.8%
190887.117653337 1
 
1.8%
190845.231594802 1
 
1.8%
190824.081053196 1
 
1.8%
190822.851419439 1
 
1.8%
190776.468544178 1
 
1.8%
190741.158117503 1
 
1.8%
190688.747501289 2
3.5%

좌표정보(Y)
Real number (ℝ)

Distinct48
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443373.06
Minimum441918.85
Maximum444988.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T08:48:23.427950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441918.85
5-th percentile442146.78
Q1442584.88
median443469.75
Q3444300.26
95-th percentile444755.84
Maximum444988.69
Range3069.8345
Interquartile range (IQR)1715.3788

Descriptive statistics

Standard deviation912.60705
Coefficient of variation (CV)0.0020583277
Kurtosis-1.4025189
Mean443373.06
Median Absolute Deviation (MAD)871.60376
Skewness0.13028034
Sum25272264
Variance832851.63
MonotonicityNot monotonic
2024-05-11T08:48:23.908781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
442547.689997913 4
 
7.0%
442598.144798533 2
 
3.5%
442219.137493629 2
 
3.5%
443799.918089908 2
 
3.5%
444447.427092662 2
 
3.5%
444836.673561831 2
 
3.5%
442618.785745098 2
 
3.5%
444317.135841703 1
 
1.8%
444604.067349597 1
 
1.8%
444554.971996966 1
 
1.8%
Other values (38) 38
66.7%
ValueCountFrequency (%)
441918.853136538 1
 
1.8%
442071.447779897 1
 
1.8%
442113.916061607 1
 
1.8%
442154.992807483 1
 
1.8%
442219.137493629 2
3.5%
442253.132895893 1
 
1.8%
442324.745872584 1
 
1.8%
442370.143700207 1
 
1.8%
442374.325707014 1
 
1.8%
442547.689997913 4
7.0%
ValueCountFrequency (%)
444988.687593714 1
1.8%
444836.673561831 2
3.5%
444735.632140912 1
1.8%
444724.788456967 1
1.8%
444604.067349597 1
1.8%
444554.971996966 1
1.8%
444458.096071254 1
1.8%
444456.127223357 1
1.8%
444447.427092662 2
3.5%
444347.321053453 1
1.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
음반.음악영상물제작업
41 
<NA>
16 

Length

Max length11
Median length11
Mean length9.0350877
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 41
71.9%
<NA> 16
 
28.1%

Length

2024-05-11T08:48:24.521728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:24.957090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 41
71.9%
na 16
 
28.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
유통관련업
41 
<NA>
16 

Length

Max length5
Median length5
Mean length4.7192982
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 41
71.9%
<NA> 16
 
28.1%

Length

2024-05-11T08:48:25.480709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:25.911031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 41
71.9%
na 16
 
28.1%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)56.2%
Missing41
Missing (%)71.9%
Infinite0
Infinite (%)0.0%
Mean8.8125
Minimum0
Maximum30
Zeros2
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T08:48:26.525479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.75
median4
Q315
95-th percentile21.75
Maximum30
Range30
Interquartile range (IQR)11.25

Descriptive statistics

Standard deviation8.471275
Coefficient of variation (CV)0.96127943
Kurtosis0.88956516
Mean8.8125
Median Absolute Deviation (MAD)2.5
Skewness1.172661
Sum141
Variance71.7625
MonotonicityNot monotonic
2024-05-11T08:48:27.059007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
4 5
 
8.8%
3 2
 
3.5%
15 2
 
3.5%
0 2
 
3.5%
14 1
 
1.8%
17 1
 
1.8%
30 1
 
1.8%
19 1
 
1.8%
5 1
 
1.8%
(Missing) 41
71.9%
ValueCountFrequency (%)
0 2
 
3.5%
3 2
 
3.5%
4 5
8.8%
5 1
 
1.8%
14 1
 
1.8%
15 2
 
3.5%
17 1
 
1.8%
19 1
 
1.8%
30 1
 
1.8%
ValueCountFrequency (%)
30 1
 
1.8%
19 1
 
1.8%
17 1
 
1.8%
15 2
 
3.5%
14 1
 
1.8%
5 1
 
1.8%
4 5
8.8%
3 2
 
3.5%
0 2
 
3.5%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing54
Missing (%)94.7%
Memory size588.0 B
2024-05-11T08:48:27.540330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length4
Min length2

Characters and Unicode

Total characters12
Distinct characters10
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row기타
2nd row기타
3rd row학교정화(상대)
ValueCountFrequency (%)
기타 2
66.7%
학교정화(상대 1
33.3%
2024-05-11T08:48:28.230829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
16.7%
타 2
16.7%
학 1
8.3%
교 1
8.3%
정 1
8.3%
화 1
8.3%
( 1
8.3%
상 1
8.3%
대 1
8.3%
) 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
83.3%
Open Punctuation 1
 
8.3%
Close Punctuation 1
 
8.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
20.0%
타 2
20.0%
학 1
10.0%
교 1
10.0%
정 1
10.0%
화 1
10.0%
상 1
10.0%
대 1
10.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
83.3%
Common 2
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
20.0%
타 2
20.0%
학 1
10.0%
교 1
10.0%
정 1
10.0%
화 1
10.0%
상 1
10.0%
대 1
10.0%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
83.3%
ASCII 2
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
20.0%
타 2
20.0%
학 1
10.0%
교 1
10.0%
정 1
10.0%
화 1
10.0%
상 1
10.0%
대 1
10.0%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Text

MISSING 

Distinct19
Distinct (%)73.1%
Missing31
Missing (%)54.4%
Memory size588.0 B
2024-05-11T08:48:28.672986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8.5
Mean length5.7692308
Min length2

Characters and Unicode

Total characters150
Distinct characters32
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)53.8%

Sample

1st row음반
2nd rowCD
3rd row음반,음악영상물
4th row음악영상물
5th rowCD
ValueCountFrequency (%)
영상물 4
 
11.4%
cd 3
 
8.6%
음반 3
 
8.6%
음악영상물 3
 
8.6%
음반,음악영상물 2
 
5.7%
영상물제작 2
 
5.7%
음악 2
 
5.7%
음반영상물제작 1
 
2.9%
음반음악영상물 1
 
2.9%
오디오물 1
 
2.9%
Other values (13) 13
37.1%
2024-05-11T08:48:29.527987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 22
14.7%
물 17
11.3%
영 16
10.7%
상 16
10.7%
반 12
8.0%
악 9
 
6.0%
9
 
6.0%
제 8
 
5.3%
작 8
 
5.3%
, 6
 
4.0%
Other values (22) 27
18.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
83.3%
Space Separator 9
 
6.0%
Other Punctuation 7
 
4.7%
Lowercase Letter 5
 
3.3%
Uppercase Letter 4
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 22
17.6%
물 17
13.6%
영 16
12.8%
상 16
12.8%
반 12
9.6%
악 9
7.2%
제 8
 
6.4%
작 8
 
6.4%
오 3
 
2.4%
디 2
 
1.6%
Other values (12) 12
9.6%
Lowercase Letter
ValueCountFrequency (%)
s 1
20.0%
d 1
20.0%
c 1
20.0%
b 1
20.0%
u 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
/ 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
D 2
50.0%
C 2
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
83.3%
Common 16
 
10.7%
Latin 9
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 22
17.6%
물 17
13.6%
영 16
12.8%
상 16
12.8%
반 12
9.6%
악 9
7.2%
제 8
 
6.4%
작 8
 
6.4%
오 3
 
2.4%
디 2
 
1.6%
Other values (12) 12
9.6%
Latin
ValueCountFrequency (%)
D 2
22.2%
C 2
22.2%
s 1
11.1%
d 1
11.1%
c 1
11.1%
b 1
11.1%
u 1
11.1%
Common
ValueCountFrequency (%)
9
56.2%
, 6
37.5%
/ 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
83.3%
ASCII 25
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 22
17.6%
물 17
13.6%
영 16
12.8%
상 16
12.8%
반 12
9.6%
악 9
7.2%
제 8
 
6.4%
작 8
 
6.4%
오 3
 
2.4%
디 2
 
1.6%
Other values (12) 12
9.6%
ASCII
ValueCountFrequency (%)
9
36.0%
, 6
24.0%
D 2
 
8.0%
C 2
 
8.0%
/ 1
 
4.0%
s 1
 
4.0%
d 1
 
4.0%
c 1
 
4.0%
b 1
 
4.0%
u 1
 
4.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)100.0%
Missing34
Missing (%)59.6%
Infinite0
Infinite (%)0.0%
Mean160.64261
Minimum0
Maximum554
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T08:48:30.018268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.191
Q169.395
median117.18
Q3215.18
95-th percentile393.34
Maximum554
Range554
Interquartile range (IQR)145.785

Descriptive statistics

Standard deviation133.35713
Coefficient of variation (CV)0.83014794
Kurtosis2.2423999
Mean160.64261
Median Absolute Deviation (MAD)62.32
Skewness1.4344636
Sum3694.78
Variance17784.124
MonotonicityNot monotonic
2024-05-11T08:48:30.301108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
320.98 1
 
1.8%
0.0 1
 
1.8%
281.5 1
 
1.8%
56.05 1
 
1.8%
174.13 1
 
1.8%
199.36 1
 
1.8%
82.74 1
 
1.8%
231.0 1
 
1.8%
135.31 1
 
1.8%
554.0 1
 
1.8%
Other values (13) 13
 
22.8%
(Missing) 34
59.6%
ValueCountFrequency (%)
0.0 1
1.8%
18.0 1
1.8%
39.91 1
1.8%
42.09 1
1.8%
54.86 1
1.8%
56.05 1
1.8%
82.74 1
1.8%
94.38 1
1.8%
103.47 1
1.8%
106.0 1
1.8%
ValueCountFrequency (%)
554.0 1
1.8%
401.38 1
1.8%
320.98 1
1.8%
281.5 1
1.8%
271.78 1
1.8%
231.0 1
1.8%
199.36 1
1.8%
174.13 1
1.8%
165.0 1
1.8%
135.31 1
1.8%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)42.9%
Missing43
Missing (%)75.4%
Infinite0
Infinite (%)0.0%
Mean3.8571429
Minimum0
Maximum15
Zeros2
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size645.0 B
2024-05-11T08:48:30.564283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2.5
Q36.75
95-th percentile10.45
Maximum15
Range15
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation4.3298098
Coefficient of variation (CV)1.1225433
Kurtosis2.0864729
Mean3.8571429
Median Absolute Deviation (MAD)1.5
Skewness1.5262658
Sum54
Variance18.747253
MonotonicityNot monotonic
2024-05-11T08:48:30.758103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 4
 
7.0%
8 3
 
5.3%
3 3
 
5.3%
0 2
 
3.5%
15 1
 
1.8%
2 1
 
1.8%
(Missing) 43
75.4%
ValueCountFrequency (%)
0 2
3.5%
1 4
7.0%
2 1
 
1.8%
3 3
5.3%
8 3
5.3%
15 1
 
1.8%
ValueCountFrequency (%)
15 1
 
1.8%
8 3
5.3%
3 3
5.3%
2 1
 
1.8%
1 4
7.0%
0 2
3.5%

지하층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
45 
1
8 
0
 
2
4
 
1
2
 
1

Length

Max length4
Median length4
Mean length3.3684211
Min length1

Unique

Unique2 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
78.9%
1 8
 
14.0%
0 2
 
3.5%
4 1
 
1.8%
2 1
 
1.8%

Length

2024-05-11T08:48:31.127406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:31.429656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
78.9%
1 8
 
14.0%
0 2
 
3.5%
4 1
 
1.8%
2 1
 
1.8%

건물용도명
Text

MISSING 

Distinct4
Distinct (%)57.1%
Missing50
Missing (%)87.7%
Memory size588.0 B
2024-05-11T08:48:31.766415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length4.7142857
Min length2

Characters and Unicode

Total characters33
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)42.9%

Sample

1st row기타
2nd row사무실
3rd row단독주택
4th row근린생활시설
5th row근린생활시설
ValueCountFrequency (%)
근린생활시설 4
57.1%
기타 1
 
14.3%
사무실 1
 
14.3%
단독주택 1
 
14.3%
2024-05-11T08:48:33.197496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 4
12.1%
린 4
12.1%
생 4
12.1%
활 4
12.1%
시 4
12.1%
설 4
12.1%
기 1
 
3.0%
타 1
 
3.0%
사 1
 
3.0%
무 1
 
3.0%
Other values (5) 5
15.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 4
12.1%
린 4
12.1%
생 4
12.1%
활 4
12.1%
시 4
12.1%
설 4
12.1%
기 1
 
3.0%
타 1
 
3.0%
사 1
 
3.0%
무 1
 
3.0%
Other values (5) 5
15.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 4
12.1%
린 4
12.1%
생 4
12.1%
활 4
12.1%
시 4
12.1%
설 4
12.1%
기 1
 
3.0%
타 1
 
3.0%
사 1
 
3.0%
무 1
 
3.0%
Other values (5) 5
15.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 4
12.1%
린 4
12.1%
생 4
12.1%
활 4
12.1%
시 4
12.1%
설 4
12.1%
기 1
 
3.0%
타 1
 
3.0%
사 1
 
3.0%
무 1
 
3.0%
Other values (5) 5
15.2%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
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> 55
96.5%
0 2
 
3.5%

Length

2024-05-11T08:48:33.721383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:34.290915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
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> 55
96.5%
0 2
 
3.5%

Length

2024-05-11T08:48:34.760894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:35.152747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
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> 55
96.5%
0 2
 
3.5%

Length

2024-05-11T08:48:35.519267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:35.904793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
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> 55
96.5%
0 2
 
3.5%

Length

2024-05-11T08:48:36.352824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:36.672411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
55 
0
 
2

Length

Max length4
Median length4
Mean length3.8947368
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> 55
96.5%
0 2
 
3.5%

Length

2024-05-11T08:48:37.054994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:37.460099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
96.5%
0 2
 
3.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing57
Missing (%)100.0%
Memory size645.0 B

지역구분명
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
50 
일반주거지역
 
3
준공업지역
 
2
일반상업지역
 
2

Length

Max length6
Median length4
Mean length4.2105263
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 50
87.7%
일반주거지역 3
 
5.3%
준공업지역 2
 
3.5%
일반상업지역 2
 
3.5%

Length

2024-05-11T08:48:37.867577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:48:38.218026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
87.7%
일반주거지역 3
 
5.3%
준공업지역 2
 
3.5%
일반상업지역 2
 
3.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03160000CDFF324106199700000119970113<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-**번지 에이스테크노타워 *차 ***호서울특별시 구로구 디지털로**길 **, ***호 (구로동, 에이스테크노타워*차)8380(주) 와이알 미디어2017-11-03 13:37:35I2018-08-31 23:59:59.0<NA>190571.928128442598.144799음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13160000CDFF324106200200000120021108<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 고척동 ***-*번지 *층서울특별시 구로구 고척로**길 **-* (고척동,*층)8239DOPE ENTERTAINMENT2020-03-28 13:02:24U2020-03-31 02:40:00.0<NA>186962.629913444988.687594음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23160000CDFF324106200400000120040524<NA>3폐업3폐업20150206<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-***번지서울특별시 구로구 구로중앙로 **-* (구로동)<NA>안데스매니아2015-02-06 11:36:19I2018-08-31 23:59:59.0<NA>189991.788494443799.980147음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33160000CDFF324106200600000120060208<NA>1영업/정상13영업중<NA><NA><NA><NA>2025-7878<NA>152848서울특별시 구로구 구로동 ***-*번지 에이스테크노타워*차 ***호서울특별시 구로구 디지털로**길 **, ***호 (구로동,에이스테크노타워*차)8380(주)유토포스에듀2006-02-08 10:55:02I2018-08-31 23:59:59.0<NA>190688.747501442618.785745음반.음악영상물제작업유통관련업14기타<NA>271.788<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준공업지역
43160000CDFF324106200600000220061122<NA>3폐업3폐업20080611<NA><NA><NA>02-2025-0604<NA>152848서울특별시 구로구 구로동 ***-**번지 코오롱사이언스밸리 *차 ***호서울특별시 구로구 디지털로**길 **, ***호 (구로동,코오롱사이언스밸리 *차)<NA>(주)한솔교육디지털사업본부2008-06-11 16:08:34I2018-08-31 23:59:59.0<NA>190980.657371442547.689998음반.음악영상물제작업유통관련업<NA><NA>CD<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53160000CDFF324106200700000220070726<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 오류동 **-*번지 ***호서울특별시 구로구 경인로**길 *, ***호 (오류동)8268수도음향2012-05-21 13:45:13I2018-08-31 23:59:59.0<NA>186143.039451443851.276038음반.음악영상물제작업유통관련업<NA><NA>음반,음악영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63160000CDFF324106200700000320070816<NA>3폐업3폐업20110811<NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-**번지 코오롱사이언스밸리*차 ***호서울특별시 구로구 디지털로**길 **, ***호 (구로동,코오롱사이언스밸리*차)<NA>한솔디케이(주)2011-08-11 17:03:29I2018-08-31 23:59:59.0<NA>190980.657371442547.689998음반.음악영상물제작업유통관련업17<NA><NA>320.983<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73160000CDFF324106200800000120080313<NA>3폐업3폐업20080610<NA><NA><NA>857-6394<NA>152844서울특별시 구로구 구로동 ***-*번지 도림두산베어스타워 *층 ***호서울특별시 구로구 공원로 **, ***호 (구로동,도림두산베어스타워 *층)<NA>아트디(ART-D)2008-06-10 15:16:08I2018-08-31 23:59:59.0<NA>190171.677862444317.135842음반.음악영상물제작업유통관련업30<NA>음악영상물39.918<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83160000CDFF324106200800000220080825<NA>1영업/정상13영업중<NA><NA><NA><NA>864-0958<NA>152894서울특별시 구로구 오류동 **-*번지 아크로팰리스 ***호서울특별시 구로구 경인로**나길 ** (오류동,아크로팰리스 ***호)8271론뮤직2008-08-25 13:50:41I2018-08-31 23:59:59.0<NA>185953.54372443610.0868음반.음악영상물제작업유통관련업19기타CD18.0154사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
93160000CDFF324106200800000320081002<NA>3폐업3폐업20110615<NA><NA><NA><NA><NA>152853서울특별시 구로구 구로동 ***-***번지 *층 ***호서울특별시 구로구 구로동로**길 **-* (구로동,*층 ***호)<NA>채널제이 프로덕션2011-06-15 09:30:21I2018-08-31 23:59:59.0<NA>189373.584349443469.748559음반.음악영상물제작업유통관련업3<NA>음악영상물<NA>21단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
473160000CDFF32410620210000032021-09-08<NA>3폐업3폐업2023-12-01<NA><NA><NA>02-853-0360<NA><NA>서울특별시 구로구 구로동 ***-** 지플러스타워 ****호서울특별시 구로구 디지털로**길 ***, 지플러스타워 ****호 (구로동)8390주식회사 디앤씨웹툰비즈2023-12-01 11:27:44U2022-11-02 00:03:00.0<NA>190887.117653442324.745873<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483160000CDFF324106202100000420211021<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 개봉동 ***-** 다메섹교회서울특별시 구로구 고척로**길 **-**, 다메섹교회 *층 (개봉동)8233지제이(GJ)엔터테인먼트2021-10-21 18:07:29I2021-10-23 00:23:02.0<NA>187148.479909444307.684096음반.음악영상물제작업유통관련업0<NA>음반물0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
493160000CDFF324106202200000120220425<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3272-3360<NA><NA>서울특별시 구로구 구로동 ***-** 에이스하이엔드타워*차 ***호서울특별시 구로구 디지털로**길 **, 에이스하이엔드타워*차 ***호 (구로동)8389주식회사 에프네트2022-04-25 09:06:24I2021-12-03 22:07:00.0<NA>190676.946163442113.916062<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503160000CDFF324106202200000220220526<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 에이스하이엔드타워*차 ***호서울특별시 구로구 디지털로**길 *, 에이스하이엔드타워*차 ***호 (구로동)8389케이웨더 주식회사2022-05-26 13:29:06I2021-12-04 22:08:00.0<NA>190504.778241442154.992807<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513160000CDFF324106202200000420220817<NA>1영업/정상13영업중<NA><NA><NA><NA>02-855-2139<NA><NA>서울특별시 구로구 구로동 ** 신도림포스빌 ****호서울특별시 구로구 새말로 ***, 신도림포스빌 ****호 (구로동)8289미스터블로거 스튜디오2022-08-17 13:58:22I2021-12-07 22:00:00.0<NA>190349.885856444836.673562<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523160000CDFF32410620230000012023-04-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 ***-* 제이앤케이디지털타워 ****호서울특별시 구로구 디지털로**길 ***, 제이앤케이디지털타워 ****호 (구로동)8390주식회사 다솜에스앤씨2023-04-06 08:59:29I2022-12-04 00:08:00.0<NA>190822.851419442253.132896<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533160000CDFF32410620230000022023-09-22<NA>1영업/정상13영업중<NA><NA><NA><NA>0507-1354-4726<NA><NA>서울특별시 구로구 오류동 ***-* 삼성원빌 ***동 ***호서울특별시 구로구 오리로**길 **, ***동 ***호 (오류동, 삼성원빌)8358스튜디오 뮤랑(Studio Murang)2023-09-22 11:28:42I2022-12-08 22:04:00.0<NA>185115.903576442831.026512<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543160000CDFF32410620230000032023-11-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 구로동 **-* 대림오피스밸리 ***호서울특별시 구로구 가마산로 ***, 대림오피스밸리 ***호 (구로동)8302주식회사 그레이네모엔터테인먼트2023-11-08 15:54:10I2022-10-31 23:00:00.0<NA>190352.185129443799.91809<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553160000CDFF32410620230000042023-11-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 구로구 개봉동 ***-** ***호서울특별시 구로구 개봉로 **, ***호 (개봉동)8347하니노래뮤비방2023-11-22 13:27:28I2022-10-31 22:04:00.0<NA>187169.75791443208.621707<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563160000CDFF32410620230000052023-11-30<NA>1영업/정상13영업중<NA><NA><NA><NA>02-333-2513<NA><NA>서울특별시 구로구 구로동 ***-* 코오롱디지털타워빌란트서울특별시 구로구 디지털로**길 **, 코오롱디지털타워빌란트 ****~****호 (구로동)8390주식회사 디앤씨미디어2024-04-16 07:42:32U2023-12-03 23:08:00.0<NA>190776.468544442370.1437<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>