Overview

Dataset statistics

Number of variables56
Number of observations46
Missing cells1252
Missing cells (%)48.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory488.9 B

Variable types

Categorical18
Text9
DateTime3
Unsupported22
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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17315/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (74.2%)Imbalance
문화사업자구분명 is highly imbalanced (65.2%)Imbalance
총층수 is highly imbalanced (63.0%)Imbalance
지상층수 is highly imbalanced (65.2%)Imbalance
지하층수 is highly imbalanced (58.7%)Imbalance
통로너비 is highly imbalanced (74.2%)Imbalance
조명시설조도 is highly imbalanced (74.2%)Imbalance
노래방실수 is highly imbalanced (74.2%)Imbalance
청소년실수 is highly imbalanced (74.2%)Imbalance
총게임기수 is highly imbalanced (74.2%)Imbalance
인허가취소일자 has 46 (100.0%) missing valuesMissing
폐업일자 has 35 (76.1%) missing valuesMissing
휴업시작일자 has 46 (100.0%) missing valuesMissing
휴업종료일자 has 46 (100.0%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
전화번호 has 33 (71.7%) missing valuesMissing
소재지면적 has 46 (100.0%) missing valuesMissing
도로명주소 has 1 (2.2%) missing valuesMissing
도로명우편번호 has 14 (30.4%) missing valuesMissing
업태구분명 has 46 (100.0%) missing valuesMissing
좌표정보(X) has 4 (8.7%) missing valuesMissing
좌표정보(Y) has 4 (8.7%) missing valuesMissing
주변환경명 has 43 (93.5%) missing valuesMissing
제작취급품목내용 has 7 (15.2%) missing valuesMissing
시설면적 has 15 (32.6%) missing valuesMissing
건물용도명 has 42 (91.3%) missing valuesMissing
비상계단여부 has 46 (100.0%) missing valuesMissing
비상구여부 has 46 (100.0%) missing valuesMissing
자동환기여부 has 46 (100.0%) missing valuesMissing
청소년실여부 has 46 (100.0%) missing valuesMissing
특수조명여부 has 46 (100.0%) missing valuesMissing
방음시설여부 has 46 (100.0%) missing valuesMissing
비디오재생기명 has 46 (100.0%) missing valuesMissing
조명시설유무 has 46 (100.0%) missing valuesMissing
음향시설여부 has 46 (100.0%) missing valuesMissing
편의시설여부 has 46 (100.0%) missing valuesMissing
소방시설여부 has 46 (100.0%) missing valuesMissing
기존게임업외업종명 has 46 (100.0%) missing valuesMissing
제공게임물명 has 46 (100.0%) missing valuesMissing
공연장형태구분명 has 46 (100.0%) missing valuesMissing
품목명 has 46 (100.0%) missing valuesMissing
최초등록시점 has 46 (100.0%) missing valuesMissing
지역구분명 has 42 (91.3%) missing valuesMissing
관리번호 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

Reproduction

Analysis started2024-05-11 08:47:09.623239
Analysis finished2024-05-11 08:47:10.150908
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3230000
46 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3230000
2nd row3230000
3rd row3230000
4th row3230000
5th row3230000

Common Values

ValueCountFrequency (%)
3230000 46
100.0%

Length

2024-05-11T17:47:10.203270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:10.295390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 46
100.0%

관리번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T17:47:10.455894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters920
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

Unique46 ?
Unique (%)100.0%

Sample

1st rowCDFF1241112003000002
2nd rowCDFF1241112004000001
3rd rowCDFF1241112005000001
4th rowCDFF1241112006000001
5th rowCDFF1241112006000002
ValueCountFrequency (%)
cdff1241112003000002 1
 
2.2%
cdff1241112019000002 1
 
2.2%
cdff1241112023000003 1
 
2.2%
cdff1241112016000003 1
 
2.2%
cdff1241112016000005 1
 
2.2%
cdff1241112017000001 1
 
2.2%
cdff1241112018000002 1
 
2.2%
cdff1241112018000003 1
 
2.2%
cdff1241112018000004 1
 
2.2%
cdff1241112018000005 1
 
2.2%
Other values (36) 36
78.3%
2024-05-11T17:47:10.763669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 292
31.7%
1 235
25.5%
2 116
 
12.6%
F 92
 
10.0%
4 55
 
6.0%
C 46
 
5.0%
D 46
 
5.0%
3 14
 
1.5%
6 7
 
0.8%
5 6
 
0.7%
Other values (3) 11
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
80.0%
Uppercase Letter 184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 292
39.7%
1 235
31.9%
2 116
 
15.8%
4 55
 
7.5%
3 14
 
1.9%
6 7
 
1.0%
5 6
 
0.8%
9 4
 
0.5%
8 4
 
0.5%
7 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
80.0%
Latin 184
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 292
39.7%
1 235
31.9%
2 116
 
15.8%
4 55
 
7.5%
3 14
 
1.9%
6 7
 
1.0%
5 6
 
0.8%
9 4
 
0.5%
8 4
 
0.5%
7 3
 
0.4%
Latin
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 292
31.7%
1 235
25.5%
2 116
 
12.6%
F 92
 
10.0%
4 55
 
6.0%
C 46
 
5.0%
D 46
 
5.0%
3 14
 
1.5%
6 7
 
0.8%
5 6
 
0.7%
Other values (3) 11
 
1.2%

인허가일자
Date

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum1999-12-17 00:00:00
Maximum2023-03-17 00:00:00
2024-05-11T17:47:10.902704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:47:11.031136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
35 
3
9 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 35
76.1%
3 9
 
19.6%
5 2
 
4.3%

Length

2024-05-11T17:47:11.148159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:11.224682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 35
76.1%
3 9
 
19.6%
5 2
 
4.3%

영업상태명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업/정상
35 
폐업
9 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.5434783
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 35
76.1%
폐업 9
 
19.6%
제외/삭제/전출 2
 
4.3%

Length

2024-05-11T17:47:11.321777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:11.425273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 35
76.1%
폐업 9
 
19.6%
제외/삭제/전출 2
 
4.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
13
35 
3
9 
15
 
2

Length

Max length2
Median length2
Mean length1.8043478
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 35
76.1%
3 9
 
19.6%
15 2
 
4.3%

Length

2024-05-11T17:47:11.536583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:11.618010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 35
76.1%
3 9
 
19.6%
15 2
 
4.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업중
35 
폐업
9 
전출
 
2

Length

Max length3
Median length3
Mean length2.7608696
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 35
76.1%
폐업 9
 
19.6%
전출 2
 
4.3%

Length

2024-05-11T17:47:11.712754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:11.800735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 35
76.1%
폐업 9
 
19.6%
전출 2
 
4.3%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing35
Missing (%)76.1%
Memory size500.0 B
Minimum2010-06-21 00:00:00
Maximum2024-02-23 00:00:00
2024-05-11T17:47:11.885103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:47:11.972469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전화번호
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing33
Missing (%)71.7%
Memory size500.0 B
2024-05-11T17:47:12.118802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.153846
Min length8

Characters and Unicode

Total characters145
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

Unique13 ?
Unique (%)100.0%

Sample

1st row423-8621
2nd row02-420-1251
3rd row02-431-8061
4th row02-2157-3955
5th row02-560-7900
ValueCountFrequency (%)
423-8621 1
 
7.7%
02-420-1251 1
 
7.7%
02-431-8061 1
 
7.7%
02-2157-3955 1
 
7.7%
02-560-7900 1
 
7.7%
02-3432-0605 1
 
7.7%
02-2008-1537 1
 
7.7%
02-471-7408 1
 
7.7%
02-411-2223 1
 
7.7%
070-7766-7579 1
 
7.7%
Other values (3) 3
23.1%
2024-05-11T17:47:12.409568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30
20.7%
- 23
15.9%
2 21
14.5%
1 12
 
8.3%
7 12
 
8.3%
5 11
 
7.6%
4 10
 
6.9%
6 9
 
6.2%
3 8
 
5.5%
8 5
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 122
84.1%
Dash Punctuation 23
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
24.6%
2 21
17.2%
1 12
 
9.8%
7 12
 
9.8%
5 11
 
9.0%
4 10
 
8.2%
6 9
 
7.4%
3 8
 
6.6%
8 5
 
4.1%
9 4
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 145
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30
20.7%
- 23
15.9%
2 21
14.5%
1 12
 
8.3%
7 12
 
8.3%
5 11
 
7.6%
4 10
 
6.9%
6 9
 
6.2%
3 8
 
5.5%
8 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 145
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30
20.7%
- 23
15.9%
2 21
14.5%
1 12
 
8.3%
7 12
 
8.3%
5 11
 
7.6%
4 10
 
6.9%
6 9
 
6.2%
3 8
 
5.5%
8 5
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
42 
138200
 
1
138842
 
1
138802
 
1
138830
 
1

Length

Max length6
Median length4
Mean length4.173913
Min length4

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st row138200
2nd row<NA>
3rd row<NA>
4th row138842
5th row138802

Common Values

ValueCountFrequency (%)
<NA> 42
91.3%
138200 1
 
2.2%
138842 1
 
2.2%
138802 1
 
2.2%
138830 1
 
2.2%

Length

2024-05-11T17:47:12.554738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:12.653769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
91.3%
138200 1
 
2.2%
138842 1
 
2.2%
138802 1
 
2.2%
138830 1
 
2.2%

지번주소
Text

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T17:47:12.807273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length33
Mean length27.021739
Min length18

Characters and Unicode

Total characters1243
Distinct characters95
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

Unique35 ?
Unique (%)76.1%

Sample

1st row서울특별시 송파구 문정동 ***-**번지 동원빌딩 *층
2nd row서울특별시 송파구 가락동 **-**번지
3rd row서울특별시 송파구 가락동 ***번지 베스트빌라 ***호
4th row서울특별시 송파구 석촌동 *번지
5th row서울특별시 송파구 가락동 **-*번지
ValueCountFrequency (%)
서울특별시 46
19.8%
송파구 46
19.8%
번지 32
13.8%
문정동 19
8.2%
14
 
6.0%
방이동 9
 
3.9%
가든파이브라이프 6
 
2.6%
잠실동 6
 
2.6%
호 6
 
2.6%
층 5
 
2.2%
Other values (31) 43
18.5%
2024-05-11T17:47:13.085503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
217
17.5%
* 195
15.7%
파 55
 
4.4%
동 50
 
4.0%
시 50
 
4.0%
송 47
 
3.8%
구 46
 
3.7%
울 46
 
3.7%
서 46
 
3.7%
별 46
 
3.7%
Other values (85) 445
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 802
64.5%
Space Separator 217
 
17.5%
Other Punctuation 195
 
15.7%
Dash Punctuation 26
 
2.1%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 55
 
6.9%
동 50
 
6.2%
시 50
 
6.2%
송 47
 
5.9%
구 46
 
5.7%
울 46
 
5.7%
서 46
 
5.7%
별 46
 
5.7%
특 46
 
5.7%
지 37
 
4.6%
Other values (80) 333
41.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
F 1
33.3%
Space Separator
ValueCountFrequency (%)
217
100.0%
Other Punctuation
ValueCountFrequency (%)
* 195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 802
64.5%
Common 438
35.2%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 55
 
6.9%
동 50
 
6.2%
시 50
 
6.2%
송 47
 
5.9%
구 46
 
5.7%
울 46
 
5.7%
서 46
 
5.7%
별 46
 
5.7%
특 46
 
5.7%
지 37
 
4.6%
Other values (80) 333
41.5%
Common
ValueCountFrequency (%)
217
49.5%
* 195
44.5%
- 26
 
5.9%
Latin
ValueCountFrequency (%)
B 2
66.7%
F 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 802
64.5%
ASCII 441
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
217
49.2%
* 195
44.2%
- 26
 
5.9%
B 2
 
0.5%
F 1
 
0.2%
Hangul
ValueCountFrequency (%)
파 55
 
6.9%
동 50
 
6.2%
시 50
 
6.2%
송 47
 
5.9%
구 46
 
5.7%
울 46
 
5.7%
서 46
 
5.7%
별 46
 
5.7%
특 46
 
5.7%
지 37
 
4.6%
Other values (80) 333
41.5%

도로명주소
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size500.0 B
2024-05-11T17:47:13.299225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length43
Mean length38.422222
Min length24

Characters and Unicode

Total characters1729
Distinct characters128
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

Unique45 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 송파대로**길 ** (문정동,동원빌딩 *층)
2nd row서울특별시 송파구 양재대로**길 ** (가락동)
3rd row서울특별시 송파구 문정로**길 **, ***호 (가락동, 베스트빌라)
4th row서울특별시 송파구 송파대로**길 ** (석촌동)
5th row서울특별시 송파구 중대로*길 ** (가락동)
ValueCountFrequency (%)
서울특별시 45
14.5%
45
14.5%
송파구 45
14.5%
호 20
 
6.5%
문정동 17
 
5.5%
층 11
 
3.5%
충민로 6
 
1.9%
방이동 6
 
1.9%
송파대로 5
 
1.6%
잠실동 5
 
1.6%
Other values (67) 105
33.9%
2024-05-11T17:47:13.650176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 281
 
16.3%
278
 
16.1%
파 65
 
3.8%
동 61
 
3.5%
, 57
 
3.3%
송 55
 
3.2%
시 49
 
2.8%
로 48
 
2.8%
서 45
 
2.6%
특 45
 
2.6%
Other values (118) 745
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1000
57.8%
Other Punctuation 338
 
19.5%
Space Separator 278
 
16.1%
Close Punctuation 45
 
2.6%
Open Punctuation 45
 
2.6%
Uppercase Letter 12
 
0.7%
Dash Punctuation 11
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 65
 
6.5%
동 61
 
6.1%
송 55
 
5.5%
시 49
 
4.9%
로 48
 
4.8%
서 45
 
4.5%
특 45
 
4.5%
별 45
 
4.5%
구 45
 
4.5%
울 45
 
4.5%
Other values (106) 497
49.7%
Uppercase Letter
ValueCountFrequency (%)
C 4
33.3%
B 3
25.0%
A 2
16.7%
G 1
 
8.3%
T 1
 
8.3%
F 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 281
83.1%
, 57
 
16.9%
Space Separator
ValueCountFrequency (%)
278
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1000
57.8%
Common 717
41.5%
Latin 12
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 65
 
6.5%
동 61
 
6.1%
송 55
 
5.5%
시 49
 
4.9%
로 48
 
4.8%
서 45
 
4.5%
특 45
 
4.5%
별 45
 
4.5%
구 45
 
4.5%
울 45
 
4.5%
Other values (106) 497
49.7%
Common
ValueCountFrequency (%)
* 281
39.2%
278
38.8%
, 57
 
7.9%
) 45
 
6.3%
( 45
 
6.3%
- 11
 
1.5%
Latin
ValueCountFrequency (%)
C 4
33.3%
B 3
25.0%
A 2
16.7%
G 1
 
8.3%
T 1
 
8.3%
F 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1000
57.8%
ASCII 729
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 281
38.5%
278
38.1%
, 57
 
7.8%
) 45
 
6.2%
( 45
 
6.2%
- 11
 
1.5%
C 4
 
0.5%
B 3
 
0.4%
A 2
 
0.3%
G 1
 
0.1%
Other values (2) 2
 
0.3%
Hangul
ValueCountFrequency (%)
파 65
 
6.5%
동 61
 
6.1%
송 55
 
5.5%
시 49
 
4.9%
로 48
 
4.8%
서 45
 
4.5%
특 45
 
4.5%
별 45
 
4.5%
구 45
 
4.5%
울 45
 
4.5%
Other values (106) 497
49.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)62.5%
Missing14
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean14046.562
Minimum5502
Maximum138861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T17:47:13.765318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5502
5-th percentile5506.85
Q15633
median5836
Q35842
95-th percentile65685.65
Maximum138861
Range133359
Interquartile range (IQR)209

Descriptive statistics

Standard deviation32736.455
Coefficient of variation (CV)2.330567
Kurtosis13.226135
Mean14046.562
Median Absolute Deviation (MAD)76
Skewness3.7949391
Sum449490
Variance1.0716755 × 109
MonotonicityNot monotonic
2024-05-11T17:47:13.880178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
5838 5
 
10.9%
5854 4
 
8.7%
5836 3
 
6.5%
5855 2
 
4.3%
5837 2
 
4.3%
5510 2
 
4.3%
138861 1
 
2.2%
5603 1
 
2.2%
5697 1
 
2.2%
5645 1
 
2.2%
Other values (10) 10
21.7%
(Missing) 14
30.4%
ValueCountFrequency (%)
5502 1
2.2%
5503 1
2.2%
5510 2
4.3%
5542 1
2.2%
5554 1
2.2%
5556 1
2.2%
5603 1
2.2%
5643 1
2.2%
5645 1
2.2%
5649 1
2.2%
ValueCountFrequency (%)
138861 1
 
2.2%
138812 1
 
2.2%
5855 2
 
4.3%
5854 4
8.7%
5838 5
10.9%
5837 2
 
4.3%
5836 3
6.5%
5703 1
 
2.2%
5702 1
 
2.2%
5697 1
 
2.2%

사업장명
Text

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T17:47:14.066760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length8.9130435
Min length3

Characters and Unicode

Total characters410
Distinct characters122
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)91.3%

Sample

1st row(주)에듀네트윅스
2nd row(주)온타운
3rd row원클릭컴퍼니
4th row드림믹스
5th row(주)발해게이트
ValueCountFrequency (%)
주식회사 15
24.2%
영화사안다미로 2
 
3.2%
주)영진크리에이티브 2
 
3.2%
주)영화사벌집 1
 
1.6%
롯데월드 1
 
1.6%
뭉게구름 1
 
1.6%
주)에듀네트윅스 1
 
1.6%
티엔월드 1
 
1.6%
하은미디어 1
 
1.6%
세계로교육주식회사 1
 
1.6%
Other values (36) 36
58.1%
2024-05-11T17:47:14.364447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 37
 
9.0%
( 19
 
4.6%
사 19
 
4.6%
) 19
 
4.6%
식 16
 
3.9%
회 16
 
3.9%
16
 
3.9%
스 15
 
3.7%
이 15
 
3.7%
미 11
 
2.7%
Other values (112) 227
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 353
86.1%
Open Punctuation 19
 
4.6%
Close Punctuation 19
 
4.6%
Space Separator 16
 
3.9%
Dash Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 37
 
10.5%
사 19
 
5.4%
식 16
 
4.5%
회 16
 
4.5%
스 15
 
4.2%
이 15
 
4.2%
미 11
 
3.1%
리 10
 
2.8%
디 9
 
2.5%
영 7
 
2.0%
Other values (108) 198
56.1%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 353
86.1%
Common 57
 
13.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 37
 
10.5%
사 19
 
5.4%
식 16
 
4.5%
회 16
 
4.5%
스 15
 
4.2%
이 15
 
4.2%
미 11
 
3.1%
리 10
 
2.8%
디 9
 
2.5%
영 7
 
2.0%
Other values (108) 198
56.1%
Common
ValueCountFrequency (%)
( 19
33.3%
) 19
33.3%
16
28.1%
- 3
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 353
86.1%
ASCII 57
 
13.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 37
 
10.5%
사 19
 
5.4%
식 16
 
4.5%
회 16
 
4.5%
스 15
 
4.2%
이 15
 
4.2%
미 11
 
3.1%
리 10
 
2.8%
디 9
 
2.5%
영 7
 
2.0%
Other values (108) 198
56.1%
ASCII
ValueCountFrequency (%)
( 19
33.3%
) 19
33.3%
16
28.1%
- 3
 
5.3%

최종수정일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2006-08-23 17:58:49
Maximum2024-02-23 15:41:50
2024-05-11T17:47:14.481528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T17:47:14.607463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
I
39 
U
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 39
84.8%
U 7
 
15.2%

Length

2024-05-11T17:47:14.719410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:14.800966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
84.8%
u 7
 
15.2%

데이터갱신일자
Categorical

Distinct19
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
2018-08-31 23:59:59.0
28 
2022-12-08 23:03:00.0
 
1
2021-12-06 22:03:00.0
 
1
2020-02-22 02:40:00.0
 
1
2018-12-28 02:40:00.0
 
1
Other values (14)
14 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique18 ?
Unique (%)39.1%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 28
60.9%
2022-12-08 23:03:00.0 1
 
2.2%
2021-12-06 22:03:00.0 1
 
2.2%
2020-02-22 02:40:00.0 1
 
2.2%
2018-12-28 02:40:00.0 1
 
2.2%
2020-12-30 02:40:00.0 1
 
2.2%
2019-05-05 02:20:38.0 1
 
2.2%
2019-08-14 02:22:01.0 1
 
2.2%
2020-07-09 00:23:16.0 1
 
2.2%
2020-08-13 00:23:14.0 1
 
2.2%
Other values (9) 9
 
19.6%

Length

2024-05-11T17:47:14.885689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 28
30.4%
23:59:59.0 28
30.4%
02:40:00.0 3
 
3.3%
2021-12-06 2
 
2.2%
22:08:00.0 1
 
1.1%
00:22:57.0 1
 
1.1%
2021-10-30 1
 
1.1%
00:22:45.0 1
 
1.1%
2021-12-26 1
 
1.1%
00:22:52.0 1
 
1.1%
Other values (25) 25
27.2%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)83.3%
Missing4
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean209929.22
Minimum206914.01
Maximum211986.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T17:47:14.980661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206914.01
5-th percentile206958.45
Q1208886.11
median210398
Q3210956.94
95-th percentile211245.63
Maximum211986.3
Range5072.292
Interquartile range (IQR)2070.832

Descriptive statistics

Standard deviation1317.1138
Coefficient of variation (CV)0.0062740853
Kurtosis-0.0061498176
Mean209929.22
Median Absolute Deviation (MAD)655.11952
Skewness-0.87241962
Sum8817027.2
Variance1734788.8
MonotonicityNot monotonic
2024-05-11T17:47:15.092444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
210986.460698452 3
 
6.5%
211053.119518 3
 
6.5%
210868.397496689 2
 
4.3%
206914.005245094 2
 
4.3%
210398.0 2
 
4.3%
208589.363343145 1
 
2.2%
211986.297245596 1
 
2.2%
208317.419891103 1
 
2.2%
210476.0 1
 
2.2%
209427.410217251 1
 
2.2%
Other values (25) 25
54.3%
(Missing) 4
 
8.7%
ValueCountFrequency (%)
206914.005245094 2
4.3%
206916.75835 1
2.2%
207750.499013776 1
2.2%
208317.419891103 1
2.2%
208385.501219512 1
2.2%
208589.363343145 1
2.2%
208592.939812338 1
2.2%
208738.593846343 1
2.2%
208797.537587761 1
2.2%
208836.192051204 1
2.2%
ValueCountFrequency (%)
211986.297245596 1
 
2.2%
211834.106255522 1
 
2.2%
211255.759612505 1
 
2.2%
211053.119518 3
6.5%
211017.218735522 1
 
2.2%
211012.501708485 1
 
2.2%
210986.460698452 3
6.5%
210868.397496689 2
4.3%
210813.579152562 1
 
2.2%
210706.0 1
 
2.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)83.3%
Missing4
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean444143
Minimum441725.29
Maximum446156.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T17:47:15.202842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile441740.38
Q1442553
median444548.64
Q3445610.84
95-th percentile445898.46
Maximum446156.53
Range4431.2363
Interquartile range (IQR)3057.835

Descriptive statistics

Standard deviation1555.2223
Coefficient of variation (CV)0.0035016252
Kurtosis-1.5311631
Mean444143
Median Absolute Deviation (MAD)1270.0882
Skewness-0.32814121
Sum18654006
Variance2418716.5
MonotonicityNot monotonic
2024-05-11T17:47:15.325519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
441725.293491662 3
 
6.5%
442026.988783 3
 
6.5%
442053.227933005 2
 
4.3%
445399.19650011 2
 
4.3%
442553.0 2
 
4.3%
445455.90405262 1
 
2.2%
446156.529775445 1
 
2.2%
445894.98085039 1
 
2.2%
442586.0 1
 
2.2%
445829.725943441 1
 
2.2%
Other values (25) 25
54.3%
(Missing) 4
 
8.7%
ValueCountFrequency (%)
441725.293491662 3
6.5%
442026.988783 3
6.5%
442053.227933005 2
4.3%
442338.115571068 1
 
2.2%
442377.0 1
 
2.2%
442553.0 2
4.3%
442586.0 1
 
2.2%
442875.0 1
 
2.2%
443209.625290637 1
 
2.2%
443630.450127161 1
 
2.2%
ValueCountFrequency (%)
446156.529775445 1
2.2%
445977.157638051 1
2.2%
445898.643365404 1
2.2%
445894.98085039 1
2.2%
445878.934526449 1
2.2%
445829.725943441 1
2.2%
445807.727388799 1
2.2%
445762.808120998 1
2.2%
445693.551238562 1
2.2%
445656.682675501 1
2.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
비디오물배급업
39 
<NA>
7 

Length

Max length7
Median length7
Mean length6.5434783
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 39
84.8%
<NA> 7
 
15.2%

Length

2024-05-11T17:47:15.675361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:15.765478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 39
84.8%
na 7
 
15.2%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
43 
유통관련업
 
3

Length

Max length5
Median length4
Mean length4.0652174
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
93.5%
유통관련업 3
 
6.5%

Length

2024-05-11T17:47:15.846702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:15.923648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
93.5%
유통관련업 3
 
6.5%

총층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
39 
5
 
2
0
 
2
6
 
1
22
 
1

Length

Max length4
Median length4
Mean length3.5869565
Min length1

Unique

Unique3 ?
Unique (%)6.5%

Sample

1st row5
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
84.8%
5 2
 
4.3%
0 2
 
4.3%
6 1
 
2.2%
22 1
 
2.2%
10 1
 
2.2%

Length

2024-05-11T17:47:16.010046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:16.111629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
84.8%
5 2
 
4.3%
0 2
 
4.3%
6 1
 
2.2%
22 1
 
2.2%
10 1
 
2.2%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing43
Missing (%)93.5%
Memory size500.0 B
2024-05-11T17:47:16.221742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7
Min length5

Characters and Unicode

Total characters21
Distinct characters12
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

Unique1 ?
Unique (%)33.3%

Sample

1st row주택가주변
2nd row유흥업소밀집지역
3rd row유흥업소밀집지역
ValueCountFrequency (%)
유흥업소밀집지역 2
66.7%
주택가주변 1
33.3%
2024-05-11T17:47:16.453536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 2
9.5%
흥 2
9.5%
업 2
9.5%
소 2
9.5%
밀 2
9.5%
집 2
9.5%
지 2
9.5%
역 2
9.5%
주 2
9.5%
택 1
4.8%
Other values (2) 2
9.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 2
9.5%
흥 2
9.5%
업 2
9.5%
소 2
9.5%
밀 2
9.5%
집 2
9.5%
지 2
9.5%
역 2
9.5%
주 2
9.5%
택 1
4.8%
Other values (2) 2
9.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 2
9.5%
흥 2
9.5%
업 2
9.5%
소 2
9.5%
밀 2
9.5%
집 2
9.5%
지 2
9.5%
역 2
9.5%
주 2
9.5%
택 1
4.8%
Other values (2) 2
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 2
9.5%
흥 2
9.5%
업 2
9.5%
소 2
9.5%
밀 2
9.5%
집 2
9.5%
지 2
9.5%
역 2
9.5%
주 2
9.5%
택 1
4.8%
Other values (2) 2
9.5%

제작취급품목내용
Text

MISSING 

Distinct20
Distinct (%)51.3%
Missing7
Missing (%)15.2%
Memory size500.0 B
2024-05-11T17:47:16.632550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length40
Mean length9.025641
Min length3

Characters and Unicode

Total characters352
Distinct characters85
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

Unique17 ?
Unique (%)43.6%

Sample

1st row비디오물
2nd row비디오배급
3rd row비디오물
4th row비디오물배급업
5th row비디오물배급업
ValueCountFrequency (%)
비디오물 19
25.7%
영상물 5
 
6.8%
및 5
 
6.8%
비디오물배급업 3
 
4.1%
비디오물배급 2
 
2.7%
컨텐츠 2
 
2.7%
배급 2
 
2.7%
등 2
 
2.7%
입체영상 1
 
1.4%
가상현실 1
 
1.4%
Other values (32) 32
43.2%
2024-05-11T17:47:17.003413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
9.9%
물 32
 
9.1%
비 27
 
7.7%
오 27
 
7.7%
디 27
 
7.7%
영 16
 
4.5%
상 14
 
4.0%
D 11
 
3.1%
배 10
 
2.8%
급 10
 
2.8%
Other values (75) 143
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 256
72.7%
Uppercase Letter 42
 
11.9%
Space Separator 35
 
9.9%
Other Punctuation 13
 
3.7%
Decimal Number 4
 
1.1%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 32
 
12.5%
비 27
 
10.5%
오 27
 
10.5%
디 27
 
10.5%
영 16
 
6.2%
상 14
 
5.5%
배 10
 
3.9%
급 10
 
3.9%
및 5
 
2.0%
용 4
 
1.6%
Other values (54) 84
32.8%
Uppercase Letter
ValueCountFrequency (%)
D 11
26.2%
V 8
19.0%
I 4
 
9.5%
T 4
 
9.5%
P 3
 
7.1%
E 2
 
4.8%
L 2
 
4.8%
C 2
 
4.8%
B 2
 
4.8%
R 1
 
2.4%
Other values (3) 3
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 10
76.9%
/ 2
 
15.4%
. 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
3 3
75.0%
4 1
 
25.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 256
72.7%
Common 54
 
15.3%
Latin 42
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 32
 
12.5%
비 27
 
10.5%
오 27
 
10.5%
디 27
 
10.5%
영 16
 
6.2%
상 14
 
5.5%
배 10
 
3.9%
급 10
 
3.9%
및 5
 
2.0%
용 4
 
1.6%
Other values (54) 84
32.8%
Latin
ValueCountFrequency (%)
D 11
26.2%
V 8
19.0%
I 4
 
9.5%
T 4
 
9.5%
P 3
 
7.1%
E 2
 
4.8%
L 2
 
4.8%
C 2
 
4.8%
B 2
 
4.8%
R 1
 
2.4%
Other values (3) 3
 
7.1%
Common
ValueCountFrequency (%)
35
64.8%
, 10
 
18.5%
3 3
 
5.6%
/ 2
 
3.7%
4 1
 
1.9%
. 1
 
1.9%
( 1
 
1.9%
) 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 256
72.7%
ASCII 96
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
36.5%
D 11
 
11.5%
, 10
 
10.4%
V 8
 
8.3%
I 4
 
4.2%
T 4
 
4.2%
3 3
 
3.1%
P 3
 
3.1%
E 2
 
2.1%
L 2
 
2.1%
Other values (11) 14
 
14.6%
Hangul
ValueCountFrequency (%)
물 32
 
12.5%
비 27
 
10.5%
오 27
 
10.5%
디 27
 
10.5%
영 16
 
6.2%
상 14
 
5.5%
배 10
 
3.9%
급 10
 
3.9%
및 5
 
2.0%
용 4
 
1.6%
Other values (54) 84
32.8%

시설면적
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)93.5%
Missing15
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean131.51226
Minimum1
Maximum975.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T17:47:17.131129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.885
Q129.16
median81.5
Q3137.14
95-th percentile320.535
Maximum975.21
Range974.21
Interquartile range (IQR)107.98

Descriptive statistics

Standard deviation182.50227
Coefficient of variation (CV)1.3877206
Kurtosis15.483963
Mean131.51226
Median Absolute Deviation (MAD)52.34
Skewness3.5564357
Sum4076.88
Variance33307.077
MonotonicityNot monotonic
2024-05-11T17:47:17.234428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
29.16 2
 
4.3%
20.0 2
 
4.3%
302.27 1
 
2.2%
297.45 1
 
2.2%
148.0 1
 
2.2%
84.99 1
 
2.2%
73.0 1
 
2.2%
126.28 1
 
2.2%
22.68 1
 
2.2%
22.87 1
 
2.2%
Other values (19) 19
41.3%
(Missing) 15
32.6%
ValueCountFrequency (%)
1.0 1
2.2%
10.0 1
2.2%
11.77 1
2.2%
20.0 2
4.3%
22.68 1
2.2%
22.87 1
2.2%
29.16 2
4.3%
36.47 1
2.2%
39.7 1
2.2%
66.6 1
2.2%
ValueCountFrequency (%)
975.21 1
2.2%
338.8 1
2.2%
302.27 1
2.2%
297.45 1
2.2%
277.67 1
2.2%
201.26 1
2.2%
199.78 1
2.2%
148.0 1
2.2%
126.28 1
2.2%
110.2 1
2.2%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
40 
4
 
2
0
 
2
5
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.6086957
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row4
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
87.0%
4 2
 
4.3%
0 2
 
4.3%
5 1
 
2.2%
3 1
 
2.2%

Length

2024-05-11T17:47:17.338893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:17.430495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
87.0%
4 2
 
4.3%
0 2
 
4.3%
5 1
 
2.2%
3 1
 
2.2%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
39 
1
4 
0
 
2
14
 
1

Length

Max length4
Median length4
Mean length3.5652174
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row1
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
84.8%
1 4
 
8.7%
0 2
 
4.3%
14 1
 
2.2%

Length

2024-05-11T17:47:17.523000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:17.603787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
84.8%
1 4
 
8.7%
0 2
 
4.3%
14 1
 
2.2%

건물용도명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing42
Missing (%)91.3%
Memory size500.0 B
2024-05-11T17:47:17.696490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length3.5
Min length2

Characters and Unicode

Total characters14
Distinct characters11
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

Unique2 ?
Unique (%)50.0%

Sample

1st row사무실
2nd row사무실
3rd row근린생활시설
4th row기타
ValueCountFrequency (%)
사무실 2
50.0%
근린생활시설 1
25.0%
기타 1
25.0%
2024-05-11T17:47:17.917606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2
14.3%
무 2
14.3%
실 2
14.3%
근 1
7.1%
린 1
7.1%
생 1
7.1%
활 1
7.1%
시 1
7.1%
설 1
7.1%
기 1
7.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2
14.3%
무 2
14.3%
실 2
14.3%
근 1
7.1%
린 1
7.1%
생 1
7.1%
활 1
7.1%
시 1
7.1%
설 1
7.1%
기 1
7.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2
14.3%
무 2
14.3%
실 2
14.3%
근 1
7.1%
린 1
7.1%
생 1
7.1%
활 1
7.1%
시 1
7.1%
설 1
7.1%
기 1
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2
14.3%
무 2
14.3%
실 2
14.3%
근 1
7.1%
린 1
7.1%
생 1
7.1%
활 1
7.1%
시 1
7.1%
설 1
7.1%
기 1
7.1%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T17:47:18.029191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:18.136023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T17:47:18.228230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:18.312331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T17:47:18.412741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:18.499564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T17:47:18.584230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:18.662702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T17:47:18.747295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T17:47:18.845182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지역구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing42
Missing (%)91.3%
Memory size500.0 B
2024-05-11T17:47:18.943483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters20
Distinct characters8
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

Unique2 ?
Unique (%)50.0%

Sample

1st row주거지역
2nd row주거지역
3rd row일반상업지역
4th row일반주거지역
ValueCountFrequency (%)
주거지역 2
50.0%
일반상업지역 1
25.0%
일반주거지역 1
25.0%
2024-05-11T17:47:19.182320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 4
20.0%
역 4
20.0%
주 3
15.0%
거 3
15.0%
일 2
10.0%
반 2
10.0%
상 1
 
5.0%
업 1
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 4
20.0%
역 4
20.0%
주 3
15.0%
거 3
15.0%
일 2
10.0%
반 2
10.0%
상 1
 
5.0%
업 1
 
5.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 4
20.0%
역 4
20.0%
주 3
15.0%
거 3
15.0%
일 2
10.0%
반 2
10.0%
상 1
 
5.0%
업 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 4
20.0%
역 4
20.0%
주 3
15.0%
거 3
15.0%
일 2
10.0%
반 2
10.0%
상 1
 
5.0%
업 1
 
5.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF124111200300000220030429<NA>3폐업3폐업20100621<NA><NA><NA><NA><NA>138200서울특별시 송파구 문정동 ***-**번지 동원빌딩 *층서울특별시 송파구 송파대로**길 ** (문정동,동원빌딩 *층)<NA>(주)에듀네트윅스2010-06-21 15:53:03I2018-08-31 23:59:59.0<NA>210206.20392443209.625291비디오물배급업<NA>5주택가주변비디오물10.041사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
13230000CDFF124111200400000120040628<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **-**번지서울특별시 송파구 양재대로**길 ** (가락동)5703(주)온타운2011-10-30 13:43:12I2018-08-31 23:59:59.0<NA>211012.501708444227.766939비디오물배급업<NA><NA><NA>비디오배급<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFF124111200500000120051018<NA>3폐업3폐업20130213<NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 ***번지 베스트빌라 ***호서울특별시 송파구 문정로**길 **, ***호 (가락동, 베스트빌라)138812원클릭컴퍼니2013-02-13 15:37:31I2018-08-31 23:59:59.0<NA>211834.106256443630.450127비디오물배급업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33230000CDFF124111200600000120060823<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138842서울특별시 송파구 석촌동 *번지서울특별시 송파구 송파대로**길 ** (석촌동)<NA>드림믹스2006-08-23 17:58:49I2018-08-31 23:59:59.0<NA>208592.939812444842.343558비디오물배급업유통관련업<NA><NA>비디오물배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43230000CDFF124111200600000220061113<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138802서울특별시 송파구 가락동 **-*번지서울특별시 송파구 중대로*길 ** (가락동)<NA>(주)발해게이트2006-11-13 10:25:11I2018-08-31 23:59:59.0<NA>210541.175443932.015비디오물배급업유통관련업<NA><NA>비디오물배급업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFF124111200700000120070618<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>138830서울특별시 송파구 방이동 ***-**번지서울특별시 송파구 위례성대로 ** (방이동)<NA>(주)쌈지2007-06-18 15:45:40I2018-08-31 23:59:59.0<NA>210370.535345445878.934526비디오물배급업유통관련업<NA><NA>비디오물배급<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000CDFF124111200900000120090722<NA>3폐업3폐업20110822<NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 **번지 뉴스타빌딩 *층서울특별시 송파구 송파대로**길 ** (석촌동,뉴스타빌딩 *층)<NA>(주)엠케이2011-08-22 14:56:05I2018-08-31 23:59:59.0<NA>208797.537588444884.889256비디오물배급업<NA>5유흥업소밀집지역비디오물100.041사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
73230000CDFF124111201000000120100127<NA>1영업/정상13영업중<NA><NA><NA><NA>423-8621<NA><NA>서울특별시 송파구 방이동 ***-**번지 유림빌딩 ***호서울특별시 송파구 오금로 ***, ***호 (방이동,유림빌딩)<NA>대영미디어2010-01-27 09:32:30I2018-08-31 23:59:59.0<NA>210178.512549445161.753766비디오물배급업<NA><NA><NA>비디오물39.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83230000CDFF124111201000000220100429<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ***-*번지 제이타워**층서울특별시 송파구 올림픽로 ** (잠실동,제이타워**층)<NA>(유)포라이프리서치코리아2013-04-11 15:39:23I2018-08-31 23:59:59.0<NA>206916.75835445485.444774비디오물배급업<NA><NA><NA>DVD.CD302.27<NA>14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93230000CDFF124111201000000320100609<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 신천동 *-**번지 한국광고문화회관**층<NA><NA>주-씨앤마케팅서비스2011-10-05 10:22:56I2018-08-31 23:59:59.0<NA>208738.593846445977.157638비디오물배급업<NA><NA><NA>광고물배급975.21<NA><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
363230000CDFF124111202000000320200811<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 가든파이브라이프서울특별시 송파구 충민로 **, 가든파이브라이프 티-****호 (문정동)5838주식회사 파랑새미디어2020-08-11 09:39:36I2020-08-13 00:23:14.0<NA>210986.460698441725.293492비디오물배급업<NA><NA><NA>비디오물22.68<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373230000CDFF124111202000000420200902<NA>1영업/정상13영업중<NA><NA><NA><NA>0215665506<NA><NA>서울특별시 송파구 가락동 **-* 혜천빌딩서울특별시 송파구 중대로**길 **, 혜천빌딩 ***호 (가락동)5702주식회사 공유미2020-09-02 16:58:57I2020-09-04 00:23:13.0<NA>211017.218736444471.409921비디오물배급업<NA><NA><NA>비디오물126.28<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383230000CDFF124111202100000120150213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 가든파이브라이프서울특별시 송파구 충민로 **, 가든파이브라이프 와이-****호 (문정동)5838주식회사 미콘2021-04-14 18:12:19I2021-04-16 00:22:57.0<NA>210986.460698441725.293492비디오물배급업<NA><NA><NA>비디오물배급73.0<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393230000CDFF124111202100000220211028<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ** 리센츠서울특별시 송파구 올림픽로 ***, ***동 ****호 (잠실동, 리센츠)5502헉미디어 주식회사2021-10-28 10:58:01I2021-10-30 00:22:45.0<NA>207750.499014445762.808121비디오물배급업<NA>0<NA>교육용 영상물84.9900<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
403230000CDFF124111202100000320211224<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 ***-*서울특별시 송파구 오금로**길 *, 지층 (방이동)5645주식회사 엠플렉스2021-12-24 13:07:53I2021-12-26 00:22:52.0<NA>210599.437199444995.684656비디오물배급업<NA>0<NA>일반영화 및 비디오물 제작 및 배급148.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
413230000CDFF124111202200000120220726<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 석촌동 ***-** 다옴서울특별시 송파구 송파대로**길 *-**, 다옴 *층 (석촌동)5697주식회사 올림포스네트웍스2022-07-26 17:21:54I2021-12-06 22:08:00.0<NA>209698.790673444282.257935<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423230000CDFF12411120230000012023-02-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 문정역테라타워서울특별시 송파구 송파대로 ***, 문정역테라타워 A동 ****호 (문정동)5855(주)영화사벌집2023-12-29 09:55:00U2022-11-01 21:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433230000CDFF12411120230000022016-12-28<NA>5제외/삭제/전출15전출2024-02-23<NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 파크하비오서울특별시 송파구 송파대로 ***, ***A동 ***호 (문정동, 파크하비오)5837주식회사 영화사안다미로2024-02-23 15:41:50U2023-12-01 22:05:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443230000CDFF12411120230000032023-03-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-471-7908<NA><NA>서울특별시 송파구 문정동 ***-* 문정에스케이브이원지엘메트로시티서울특별시 송파구 법원로 ***, 문정에스케이브이원지엘메트로시티 B동 G***호 (문정동)5854(주)두리컴미디어2023-03-17 18:02:21I2022-12-02 23:09:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453230000CDFF12411120230000042020-12-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 문정동 *** 파크하비오서울특별시 송파구 송파대로 ***, ***동 C***호 (문정동, 파크하비오)5837주식회사 퍼플스트로우필름2023-07-27 14:59:33I2022-12-06 22:09:00.0<NA>210868.397497442053.227933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>