Overview

Dataset statistics

Number of variables56
Number of observations45
Missing cells1249
Missing cells (%)49.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.4 KiB
Average record size in memory487.9 B

Variable types

Categorical17
Text10
DateTime4
Unsupported22
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author양천구
URLhttps://data.seoul.go.kr/dataList/OA-17816/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
지역구분명 has constant value ""Constant
소재지우편번호 is highly imbalanced (80.6%)Imbalance
총층수 is highly imbalanced (84.6%)Imbalance
지상층수 is highly imbalanced (84.6%)Imbalance
지하층수 is highly imbalanced (84.6%)Imbalance
통로너비 is highly imbalanced (84.6%)Imbalance
조명시설조도 is highly imbalanced (84.6%)Imbalance
노래방실수 is highly imbalanced (84.6%)Imbalance
청소년실수 is highly imbalanced (84.6%)Imbalance
총게임기수 is highly imbalanced (84.6%)Imbalance
인허가취소일자 has 45 (100.0%) missing valuesMissing
폐업일자 has 30 (66.7%) missing valuesMissing
휴업시작일자 has 45 (100.0%) missing valuesMissing
휴업종료일자 has 45 (100.0%) missing valuesMissing
재개업일자 has 45 (100.0%) missing valuesMissing
전화번호 has 34 (75.6%) missing valuesMissing
소재지면적 has 45 (100.0%) missing valuesMissing
도로명우편번호 has 3 (6.7%) missing valuesMissing
업태구분명 has 45 (100.0%) missing valuesMissing
주변환경명 has 44 (97.8%) missing valuesMissing
제작취급품목내용 has 22 (48.9%) missing valuesMissing
시설면적 has 38 (84.4%) missing valuesMissing
건물용도명 has 44 (97.8%) missing valuesMissing
비상계단여부 has 45 (100.0%) missing valuesMissing
비상구여부 has 45 (100.0%) missing valuesMissing
자동환기여부 has 45 (100.0%) missing valuesMissing
청소년실여부 has 45 (100.0%) missing valuesMissing
특수조명여부 has 45 (100.0%) missing valuesMissing
방음시설여부 has 45 (100.0%) missing valuesMissing
비디오재생기명 has 45 (100.0%) missing valuesMissing
조명시설유무 has 45 (100.0%) missing valuesMissing
음향시설여부 has 45 (100.0%) missing valuesMissing
편의시설여부 has 45 (100.0%) missing valuesMissing
소방시설여부 has 45 (100.0%) missing valuesMissing
기존게임업외업종명 has 45 (100.0%) missing valuesMissing
제공게임물명 has 45 (100.0%) missing valuesMissing
공연장형태구분명 has 45 (100.0%) missing valuesMissing
품목명 has 45 (100.0%) missing valuesMissing
최초등록시점 has 45 (100.0%) missing valuesMissing
지역구분명 has 44 (97.8%) 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
시설면적 has 1 (2.2%) zerosZeros

Reproduction

Analysis started2024-05-11 00:53:30.947975
Analysis finished2024-05-11 00:53:32.822678
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
3140000
45 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3140000
2nd row3140000
3rd row3140000
4th row3140000
5th row3140000

Common Values

ValueCountFrequency (%)
3140000 45
100.0%

Length

2024-05-11T00:53:33.108037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:33.875854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3140000 45
100.0%

관리번호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T00:53:34.812364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters900
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

Unique45 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061995000001
2nd rowCDFF3241062002000001
3rd rowCDFF3241062006000001
4th rowCDFF3241062008000002
5th rowCDFF3241062010000001
ValueCountFrequency (%)
cdff3241061995000001 1
 
2.2%
cdff3241062018000001 1
 
2.2%
cdff3241062018000003 1
 
2.2%
cdff3241062018000004 1
 
2.2%
cdff3241062019000001 1
 
2.2%
cdff3241062019000002 1
 
2.2%
cdff3241062019000003 1
 
2.2%
cdff3241062019000004 1
 
2.2%
cdff3241062021000001 1
 
2.2%
cdff3241062021000002 1
 
2.2%
Other values (35) 35
77.8%
2024-05-11T00:53:36.064093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 319
35.4%
2 126
 
14.0%
1 93
 
10.3%
F 90
 
10.0%
3 60
 
6.7%
4 54
 
6.0%
6 51
 
5.7%
C 45
 
5.0%
D 45
 
5.0%
9 6
 
0.7%
Other values (3) 11
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 720
80.0%
Uppercase Letter 180
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 319
44.3%
2 126
 
17.5%
1 93
 
12.9%
3 60
 
8.3%
4 54
 
7.5%
6 51
 
7.1%
9 6
 
0.8%
8 5
 
0.7%
5 4
 
0.6%
7 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 90
50.0%
C 45
25.0%
D 45
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 720
80.0%
Latin 180
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 319
44.3%
2 126
 
17.5%
1 93
 
12.9%
3 60
 
8.3%
4 54
 
7.5%
6 51
 
7.1%
9 6
 
0.8%
8 5
 
0.7%
5 4
 
0.6%
7 2
 
0.3%
Latin
ValueCountFrequency (%)
F 90
50.0%
C 45
25.0%
D 45
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 319
35.4%
2 126
 
14.0%
1 93
 
10.3%
F 90
 
10.0%
3 60
 
6.7%
4 54
 
6.0%
6 51
 
5.7%
C 45
 
5.0%
D 45
 
5.0%
9 6
 
0.7%
Other values (3) 11
 
1.2%

인허가일자
Date

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum1995-01-05 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T00:53:36.515740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:53:37.060630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
1
30 
3
11 
5
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
66.7%
3 11
 
24.4%
5 4
 
8.9%

Length

2024-05-11T00:53:37.618378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:37.988475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
66.7%
3 11
 
24.4%
5 4
 
8.9%

영업상태명
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
영업/정상
30 
폐업
11 
제외/삭제/전출
4 

Length

Max length8
Median length5
Mean length4.5333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 30
66.7%
폐업 11
 
24.4%
제외/삭제/전출 4
 
8.9%

Length

2024-05-11T00:53:38.507660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:38.944472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 30
66.7%
폐업 11
 
24.4%
제외/삭제/전출 4
 
8.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
13
30 
3
10 
15
4 
34
 
1

Length

Max length2
Median length2
Mean length1.7777778
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 30
66.7%
3 10
 
22.2%
15 4
 
8.9%
34 1
 
2.2%

Length

2024-05-11T00:53:39.503999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:39.986397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 30
66.7%
3 10
 
22.2%
15 4
 
8.9%
34 1
 
2.2%

상세영업상태명
Categorical

Distinct4
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
영업중
30 
폐업
10 
전출
4 
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.7333333
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 30
66.7%
폐업 10
 
22.2%
전출 4
 
8.9%
영업장폐쇄 1
 
2.2%

Length

2024-05-11T00:53:40.519970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:40.966700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 30
66.7%
폐업 10
 
22.2%
전출 4
 
8.9%
영업장폐쇄 1
 
2.2%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing30
Missing (%)66.7%
Memory size492.0 B
Minimum2009-06-12 00:00:00
Maximum2024-04-30 00:00:00
2024-05-11T00:53:41.400146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:53:42.088040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

전화번호
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing34
Missing (%)75.6%
Memory size492.0 B
2024-05-11T00:53:42.551317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length10.363636
Min length9

Characters and Unicode

Total characters114
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

Unique11 ?
Unique (%)100.0%

Sample

1st row02-2652-0922
2nd row2653-7993
3rd row2642-2859
4th row6347-9872
5th row3445-2057
ValueCountFrequency (%)
02-2652-0922 1
9.1%
2653-7993 1
9.1%
2642-2859 1
9.1%
6347-9872 1
9.1%
3445-2057 1
9.1%
2647-1285 1
9.1%
2695-2844 1
9.1%
0226422057 1
9.1%
02-2647-4220 1
9.1%
070-4203-5875 1
9.1%
2024-05-11T00:53:43.529650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 24
21.1%
- 14
12.3%
0 13
11.4%
4 13
11.4%
7 11
9.6%
5 10
8.8%
6 8
 
7.0%
9 7
 
6.1%
3 7
 
6.1%
8 6
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100
87.7%
Dash Punctuation 14
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 24
24.0%
0 13
13.0%
4 13
13.0%
7 11
11.0%
5 10
10.0%
6 8
 
8.0%
9 7
 
7.0%
3 7
 
7.0%
8 6
 
6.0%
1 1
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 114
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 24
21.1%
- 14
12.3%
0 13
11.4%
4 13
11.4%
7 11
9.6%
5 10
8.8%
6 8
 
7.0%
9 7
 
6.1%
3 7
 
6.1%
8 6
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 24
21.1%
- 14
12.3%
0 13
11.4%
4 13
11.4%
7 11
9.6%
5 10
8.8%
6 8
 
7.0%
9 7
 
6.1%
3 7
 
6.1%
8 6
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
43 
158809
 
1
158050
 
1

Length

Max length6
Median length4
Mean length4.0888889
Min length4

Unique

Unique2 ?
Unique (%)4.4%

Sample

1st row158809
2nd row<NA>
3rd row<NA>
4th row158050
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
95.6%
158809 1
 
2.2%
158050 1
 
2.2%

Length

2024-05-11T00:53:43.860137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:44.270537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
95.6%
158809 1
 
2.2%
158050 1
 
2.2%

지번주소
Text

Distinct42
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T00:53:44.756891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length28.866667
Min length19

Characters and Unicode

Total characters1299
Distinct characters92
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

Unique40 ?
Unique (%)88.9%

Sample

1st row서울특별시 양천구 목동 ***-**번지
2nd row서울특별시 양천구 목동 ***-**번지 현대드림타워 ***호
3rd row서울특별시 양천구 목동 ***-**번지 현대드림타워 ****호
4th row서울특별시 양천구 목동 ***-**번지 부영그린타운*차 지하 ***호
5th row서울특별시 양천구 목동 ***번지 목동성우네트빌 *층 ***호
ValueCountFrequency (%)
서울특별시 45
18.4%
양천구 44
18.0%
목동 24
9.8%
번지 24
9.8%
21
8.6%
호 17
 
7.0%
신정동 14
 
5.7%
신월동 6
 
2.5%
동 5
 
2.0%
층 4
 
1.6%
Other values (33) 40
16.4%
2024-05-11T00:53:45.575490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 296
22.8%
215
16.6%
동 57
 
4.4%
시 47
 
3.6%
서 46
 
3.5%
특 45
 
3.5%
별 45
 
3.5%
양 45
 
3.5%
구 45
 
3.5%
울 45
 
3.5%
Other values (82) 413
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 746
57.4%
Other Punctuation 297
 
22.9%
Space Separator 215
 
16.6%
Dash Punctuation 35
 
2.7%
Uppercase Letter 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
 
7.6%
시 47
 
6.3%
서 46
 
6.2%
특 45
 
6.0%
별 45
 
6.0%
양 45
 
6.0%
구 45
 
6.0%
울 45
 
6.0%
천 44
 
5.9%
지 36
 
4.8%
Other values (74) 291
39.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
K 2
33.3%
S 1
16.7%
T 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 296
99.7%
, 1
 
0.3%
Space Separator
ValueCountFrequency (%)
215
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 746
57.4%
Common 547
42.1%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
 
7.6%
시 47
 
6.3%
서 46
 
6.2%
특 45
 
6.0%
별 45
 
6.0%
양 45
 
6.0%
구 45
 
6.0%
울 45
 
6.0%
천 44
 
5.9%
지 36
 
4.8%
Other values (74) 291
39.0%
Common
ValueCountFrequency (%)
* 296
54.1%
215
39.3%
- 35
 
6.4%
, 1
 
0.2%
Latin
ValueCountFrequency (%)
B 2
33.3%
K 2
33.3%
S 1
16.7%
T 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 746
57.4%
ASCII 553
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 296
53.5%
215
38.9%
- 35
 
6.3%
B 2
 
0.4%
K 2
 
0.4%
S 1
 
0.2%
T 1
 
0.2%
, 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 57
 
7.6%
시 47
 
6.3%
서 46
 
6.2%
특 45
 
6.0%
별 45
 
6.0%
양 45
 
6.0%
구 45
 
6.0%
울 45
 
6.0%
천 44
 
5.9%
지 36
 
4.8%
Other values (74) 291
39.0%

도로명주소
Text

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T00:53:46.185091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length36.688889
Min length23

Characters and Unicode

Total characters1651
Distinct characters106
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

Unique41 ?
Unique (%)91.1%

Sample

1st row서울특별시 양천구 목동중앙본로**길 ** (목동)
2nd row서울특별시 양천구 목동동로 ***-*, ***호 (목동,현대드림타워)
3rd row서울특별시 양천구 목동동로 ***-* (목동,현대드림타워 ****호)
4th row서울특별시 양천구 목동동로 ***, ***호 (목동,부영그린타운*차 지하)
5th row서울특별시 양천구 목동서로 ***, ***호 (목동,목동성우네트빌 *층)
ValueCountFrequency (%)
47
15.3%
서울특별시 45
14.7%
양천구 44
14.3%
호 26
 
8.5%
목동 19
 
6.2%
신정동 14
 
4.6%
층 13
 
4.2%
목동동로 10
 
3.3%
신월동 6
 
2.0%
동 5
 
1.6%
Other values (55) 78
25.4%
2024-05-11T00:53:47.227669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 286
17.3%
270
16.4%
동 96
 
5.8%
, 63
 
3.8%
목 63
 
3.8%
서 52
 
3.1%
시 47
 
2.8%
울 46
 
2.8%
( 45
 
2.7%
로 45
 
2.7%
Other values (96) 638
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 929
56.3%
Other Punctuation 349
 
21.1%
Space Separator 270
 
16.4%
Open Punctuation 45
 
2.7%
Close Punctuation 45
 
2.7%
Dash Punctuation 10
 
0.6%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 96
 
10.3%
목 63
 
6.8%
서 52
 
5.6%
시 47
 
5.1%
울 46
 
5.0%
로 45
 
4.8%
특 45
 
4.8%
구 45
 
4.8%
양 45
 
4.8%
별 45
 
4.8%
Other values (87) 400
43.1%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
K 1
33.3%
S 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 286
81.9%
, 63
 
18.1%
Space Separator
ValueCountFrequency (%)
270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 929
56.3%
Common 719
43.5%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 96
 
10.3%
목 63
 
6.8%
서 52
 
5.6%
시 47
 
5.1%
울 46
 
5.0%
로 45
 
4.8%
특 45
 
4.8%
구 45
 
4.8%
양 45
 
4.8%
별 45
 
4.8%
Other values (87) 400
43.1%
Common
ValueCountFrequency (%)
* 286
39.8%
270
37.6%
, 63
 
8.8%
( 45
 
6.3%
) 45
 
6.3%
- 10
 
1.4%
Latin
ValueCountFrequency (%)
B 1
33.3%
K 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 929
56.3%
ASCII 722
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 286
39.6%
270
37.4%
, 63
 
8.7%
( 45
 
6.2%
) 45
 
6.2%
- 10
 
1.4%
B 1
 
0.1%
K 1
 
0.1%
S 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 96
 
10.3%
목 63
 
6.8%
서 52
 
5.6%
시 47
 
5.1%
울 46
 
5.0%
로 45
 
4.8%
특 45
 
4.8%
구 45
 
4.8%
양 45
 
4.8%
별 45
 
4.8%
Other values (87) 400
43.1%

도로명우편번호
Text

MISSING 

Distinct34
Distinct (%)81.0%
Missing3
Missing (%)6.7%
Memory size492.0 B
2024-05-11T00:53:47.688587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0714286
Min length5

Characters and Unicode

Total characters213
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

Unique26 ?
Unique (%)61.9%

Sample

1st row07973
2nd row07995
3rd row07992
4th row08028
5th row158714
ValueCountFrequency (%)
07946 2
 
4.8%
08026 2
 
4.8%
07988 2
 
4.8%
07992 2
 
4.8%
07995 2
 
4.8%
08089 2
 
4.8%
07973 2
 
4.8%
07955 2
 
4.8%
07934 1
 
2.4%
07969 1
 
2.4%
Other values (24) 24
57.1%
2024-05-11T00:53:48.651859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 61
28.6%
7 33
15.5%
9 33
15.5%
8 29
13.6%
5 11
 
5.2%
2 10
 
4.7%
3 10
 
4.7%
6 9
 
4.2%
4 8
 
3.8%
1 8
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 212
99.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 61
28.8%
7 33
15.6%
9 33
15.6%
8 29
13.7%
5 11
 
5.2%
2 10
 
4.7%
3 10
 
4.7%
6 9
 
4.2%
4 8
 
3.8%
1 8
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 213
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 61
28.6%
7 33
15.5%
9 33
15.5%
8 29
13.6%
5 11
 
5.2%
2 10
 
4.7%
3 10
 
4.7%
6 9
 
4.2%
4 8
 
3.8%
1 8
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 61
28.6%
7 33
15.5%
9 33
15.5%
8 29
13.6%
5 11
 
5.2%
2 10
 
4.7%
3 10
 
4.7%
6 9
 
4.2%
4 8
 
3.8%
1 8
 
3.8%

사업장명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-05-11T00:53:49.195969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.5111111
Min length1

Characters and Unicode

Total characters338
Distinct characters142
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 row대명음반
2nd row본뮤직
3rd row민족영상
4th row필름 더 데이즈
5th row인이레(주)
ValueCountFrequency (%)
사운드 3
 
5.0%
주식회사 2
 
3.3%
더 2
 
3.3%
볼트 1
 
1.7%
j.star 1
 
1.7%
코인노래뮤비방 1
 
1.7%
부띠끄뮤직 1
 
1.7%
율뮤직 1
 
1.7%
감성뮤직 1
 
1.7%
뮤즈와인드 1
 
1.7%
Other values (46) 46
76.7%
2024-05-11T00:53:50.378694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
 
4.4%
뮤 11
 
3.3%
) 9
 
2.7%
( 9
 
2.7%
주 9
 
2.7%
인 9
 
2.7%
이 9
 
2.7%
직 8
 
2.4%
리 7
 
2.1%
드 7
 
2.1%
Other values (132) 245
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 249
73.7%
Lowercase Letter 32
 
9.5%
Uppercase Letter 22
 
6.5%
Space Separator 15
 
4.4%
Close Punctuation 9
 
2.7%
Open Punctuation 9
 
2.7%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
뮤 11
 
4.4%
주 9
 
3.6%
인 9
 
3.6%
이 9
 
3.6%
직 8
 
3.2%
리 7
 
2.8%
드 7
 
2.8%
디 6
 
2.4%
트 6
 
2.4%
스 6
 
2.4%
Other values (102) 171
68.7%
Lowercase Letter
ValueCountFrequency (%)
t 6
18.8%
e 4
12.5%
n 3
9.4%
r 3
9.4%
a 3
9.4%
i 3
9.4%
m 2
 
6.2%
o 2
 
6.2%
d 2
 
6.2%
g 1
 
3.1%
Other values (3) 3
9.4%
Uppercase Letter
ValueCountFrequency (%)
S 4
18.2%
T 3
13.6%
A 3
13.6%
J 2
9.1%
M 2
9.1%
R 1
 
4.5%
O 1
 
4.5%
I 1
 
4.5%
D 1
 
4.5%
U 1
 
4.5%
Other values (3) 3
13.6%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 249
73.7%
Latin 54
 
16.0%
Common 35
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
뮤 11
 
4.4%
주 9
 
3.6%
인 9
 
3.6%
이 9
 
3.6%
직 8
 
3.2%
리 7
 
2.8%
드 7
 
2.8%
디 6
 
2.4%
트 6
 
2.4%
스 6
 
2.4%
Other values (102) 171
68.7%
Latin
ValueCountFrequency (%)
t 6
 
11.1%
S 4
 
7.4%
e 4
 
7.4%
n 3
 
5.6%
r 3
 
5.6%
a 3
 
5.6%
T 3
 
5.6%
A 3
 
5.6%
i 3
 
5.6%
m 2
 
3.7%
Other values (16) 20
37.0%
Common
ValueCountFrequency (%)
15
42.9%
) 9
25.7%
( 9
25.7%
. 2
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 249
73.7%
ASCII 89
 
26.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
16.9%
) 9
 
10.1%
( 9
 
10.1%
t 6
 
6.7%
S 4
 
4.5%
e 4
 
4.5%
n 3
 
3.4%
r 3
 
3.4%
a 3
 
3.4%
T 3
 
3.4%
Other values (20) 30
33.7%
Hangul
ValueCountFrequency (%)
뮤 11
 
4.4%
주 9
 
3.6%
인 9
 
3.6%
이 9
 
3.6%
직 8
 
3.2%
리 7
 
2.8%
드 7
 
2.8%
디 6
 
2.4%
트 6
 
2.4%
스 6
 
2.4%
Other values (102) 171
68.7%

최종수정일자
Date

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2007-03-26 15:20:06
Maximum2024-05-02 09:47:43
2024-05-11T00:53:50.931424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:53:51.500587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
I
31 
U
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 31
68.9%
U 14
31.1%

Length

2024-05-11T00:53:52.016501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:52.483795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 31
68.9%
u 14
31.1%

데이터갱신일자
Date

Distinct30
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T00:53:52.821431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:53:53.430000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

좌표정보(X)
Real number (ℝ)

Distinct36
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188190.18
Minimum185365.57
Maximum199476.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T00:53:54.011102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185365.57
5-th percentile185952.42
Q1187557.75
median188111.08
Q3188591.95
95-th percentile189519.86
Maximum199476.85
Range14111.288
Interquartile range (IQR)1034.2006

Descriptive statistics

Standard deviation2005.4234
Coefficient of variation (CV)0.010656366
Kurtosis23.231759
Mean188190.18
Median Absolute Deviation (MAD)509.47364
Skewness4.0386503
Sum8468558.1
Variance4021723.2
MonotonicityNot monotonic
2024-05-11T00:53:54.710772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
189519.862506193 3
 
6.7%
188584.345447275 3
 
6.7%
188111.081853548 2
 
4.4%
187911.038588523 2
 
4.4%
188585.854107151 2
 
4.4%
187766.276177683 2
 
4.4%
189042.496526196 2
 
4.4%
187047.810109944 1
 
2.2%
186890.060200356 1
 
2.2%
188591.948366011 1
 
2.2%
Other values (26) 26
57.8%
ValueCountFrequency (%)
185365.565 1
2.2%
185595.501803315 1
2.2%
185840.616929676 1
2.2%
186399.630008065 1
2.2%
186496.322273078 1
2.2%
186581.42064821 1
2.2%
186712.11224869 1
2.2%
186806.633903536 1
2.2%
186890.060200356 1
2.2%
187011.438790117 1
2.2%
ValueCountFrequency (%)
199476.85346643 1
 
2.2%
189519.862506193 3
6.7%
189447.055883703 1
 
2.2%
189042.496526196 2
4.4%
188953.066831076 1
 
2.2%
188662.118781869 1
 
2.2%
188620.55549233 1
 
2.2%
188598.016776019 1
 
2.2%
188591.948366011 1
 
2.2%
188585.854107151 2
4.4%

좌표정보(Y)
Real number (ℝ)

Distinct36
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean447557.46
Minimum445001.62
Maximum454104.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T00:53:55.344077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445001.62
5-th percentile445801.22
Q1446692.9
median447255.07
Q3448282.26
95-th percentile449592.89
Maximum454104.54
Range9102.9178
Interquartile range (IQR)1589.3557

Descriptive statistics

Standard deviation1507.8673
Coefficient of variation (CV)0.0033691033
Kurtosis7.0014757
Mean447557.46
Median Absolute Deviation (MAD)810.07429
Skewness1.8297801
Sum20140086
Variance2273663.8
MonotonicityNot monotonic
2024-05-11T00:53:56.153670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
448282.256149224 3
 
6.7%
447255.070457495 3
 
6.7%
448607.421311138 2
 
4.4%
446792.720633767 2
 
4.4%
447573.303575146 2
 
4.4%
446265.890841351 2
 
4.4%
447777.835760268 2
 
4.4%
445755.514912318 1
 
2.2%
446630.638222313 1
 
2.2%
448550.940704372 1
 
2.2%
Other values (26) 26
57.8%
ValueCountFrequency (%)
445001.620672229 1
2.2%
445021.404026362 1
2.2%
445755.514912318 1
2.2%
445984.041714478 1
2.2%
446127.795328854 1
2.2%
446265.890841351 2
4.4%
446444.996171878 1
2.2%
446491.505340711 1
2.2%
446630.638222313 1
2.2%
446692.335000001 1
2.2%
ValueCountFrequency (%)
454104.538438739 1
 
2.2%
449833.140237863 1
 
2.2%
449696.135465978 1
 
2.2%
449179.91650199 1
 
2.2%
449142.281742437 1
 
2.2%
449065.113834478 1
 
2.2%
448839.532655951 1
 
2.2%
448607.421311138 2
4.4%
448550.940704372 1
 
2.2%
448282.256149224 3
6.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
음반.음악영상물제작업
27 
<NA>
18 

Length

Max length11
Median length11
Mean length8.2
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 27
60.0%
<NA> 18
40.0%

Length

2024-05-11T00:53:56.916790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:57.463170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 27
60.0%
na 18
40.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
유통관련업
27 
<NA>
18 

Length

Max length5
Median length5
Mean length4.6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 27
60.0%
<NA> 18
40.0%

Length

2024-05-11T00:53:58.009069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:58.332119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 27
60.0%
na 18
40.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
44 
0
 
1

Length

Max length4
Median length4
Mean length3.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
97.8%
0 1
 
2.2%

Length

2024-05-11T00:53:58.849673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:53:59.521115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
97.8%
0 1
 
2.2%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing44
Missing (%)97.8%
Memory size492.0 B
2024-05-11T00:53:59.658035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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 (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T00:54:00.363506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Text

MISSING 

Distinct23
Distinct (%)100.0%
Missing22
Missing (%)48.9%
Memory size492.0 B
2024-05-11T00:54:01.041830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length9.826087
Min length2

Characters and Unicode

Total characters226
Distinct characters53
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row음반CD
2nd row음반,음악영상물
3rd row문화영상콘텐츠, 홍보비디오 외
4th row음반영상물
5th row음반기획 및 제작
ValueCountFrequency (%)
및 4
 
8.2%
음반 4
 
8.2%
영상물 3
 
6.1%
제작 3
 
6.1%
음반제작 2
 
4.1%
제작업 2
 
4.1%
뮤직비디오 2
 
4.1%
음악영상물 2
 
4.1%
음원 2
 
4.1%
광고영상제작,음반제작 1
 
2.0%
Other values (24) 24
49.0%
2024-05-11T00:54:02.067464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
11.5%
음 24
 
10.6%
작 16
 
7.1%
반 15
 
6.6%
제 15
 
6.6%
, 14
 
6.2%
물 14
 
6.2%
영 13
 
5.8%
상 13
 
5.8%
디 6
 
2.7%
Other values (43) 70
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182
80.5%
Space Separator 26
 
11.5%
Other Punctuation 14
 
6.2%
Uppercase Letter 2
 
0.9%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 24
13.2%
작 16
 
8.8%
반 15
 
8.2%
제 15
 
8.2%
물 14
 
7.7%
영 13
 
7.1%
상 13
 
7.1%
디 6
 
3.3%
오 5
 
2.7%
원 5
 
2.7%
Other values (37) 56
30.8%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182
80.5%
Common 42
 
18.6%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 24
13.2%
작 16
 
8.8%
반 15
 
8.2%
제 15
 
8.2%
물 14
 
7.7%
영 13
 
7.1%
상 13
 
7.1%
디 6
 
3.3%
오 5
 
2.7%
원 5
 
2.7%
Other values (37) 56
30.8%
Common
ValueCountFrequency (%)
26
61.9%
, 14
33.3%
) 1
 
2.4%
( 1
 
2.4%
Latin
ValueCountFrequency (%)
C 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182
80.5%
ASCII 44
 
19.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
59.1%
, 14
31.8%
C 1
 
2.3%
) 1
 
2.3%
( 1
 
2.3%
D 1
 
2.3%
Hangul
ValueCountFrequency (%)
음 24
13.2%
작 16
 
8.8%
반 15
 
8.2%
제 15
 
8.2%
물 14
 
7.7%
영 13
 
7.1%
상 13
 
7.1%
디 6
 
3.3%
오 5
 
2.7%
원 5
 
2.7%
Other values (37) 56
30.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)100.0%
Missing38
Missing (%)84.4%
Infinite0
Infinite (%)0.0%
Mean44.972857
Minimum0
Maximum92.56
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-05-11T00:54:02.670273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.904
Q126.335
median36
Q366.79
95-th percentile90.448
Maximum92.56
Range92.56
Interquartile range (IQR)40.455

Descriptive statistics

Standard deviation33.676216
Coefficient of variation (CV)0.74881201
Kurtosis-0.91593834
Mean44.972857
Median Absolute Deviation (MAD)16.32
Skewness0.39632932
Sum314.81
Variance1134.0875
MonotonicityNot monotonic
2024-05-11T00:54:03.019937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
36.0 1
 
2.2%
48.06 1
 
2.2%
19.68 1
 
2.2%
92.56 1
 
2.2%
32.99 1
 
2.2%
85.52 1
 
2.2%
0.0 1
 
2.2%
(Missing) 38
84.4%
ValueCountFrequency (%)
0.0 1
2.2%
19.68 1
2.2%
32.99 1
2.2%
36.0 1
2.2%
48.06 1
2.2%
85.52 1
2.2%
92.56 1
2.2%
ValueCountFrequency (%)
92.56 1
2.2%
85.52 1
2.2%
48.06 1
2.2%
36.0 1
2.2%
32.99 1
2.2%
19.68 1
2.2%
0.0 1
2.2%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
44 
0
 
1

Length

Max length4
Median length4
Mean length3.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
97.8%
0 1
 
2.2%

Length

2024-05-11T00:54:03.513309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:03.911557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
97.8%
0 1
 
2.2%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
44 
0
 
1

Length

Max length4
Median length4
Mean length3.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
97.8%
0 1
 
2.2%

Length

2024-05-11T00:54:04.341647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:04.699090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
97.8%
0 1
 
2.2%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing44
Missing (%)97.8%
Memory size492.0 B
2024-05-11T00:54:05.115424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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 (%)100.0%

Sample

1st row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-05-11T00:54:06.060123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
44 
0
 
1

Length

Max length4
Median length4
Mean length3.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
97.8%
0 1
 
2.2%

Length

2024-05-11T00:54:06.638075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:07.186123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
97.8%
0 1
 
2.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
44 
0
 
1

Length

Max length4
Median length4
Mean length3.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
97.8%
0 1
 
2.2%

Length

2024-05-11T00:54:07.778809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:08.139965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
97.8%
0 1
 
2.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
44 
0
 
1

Length

Max length4
Median length4
Mean length3.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
97.8%
0 1
 
2.2%

Length

2024-05-11T00:54:08.640442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:09.164574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
97.8%
0 1
 
2.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
44 
0
 
1

Length

Max length4
Median length4
Mean length3.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
97.8%
0 1
 
2.2%

Length

2024-05-11T00:54:09.697732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:10.242624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
97.8%
0 1
 
2.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
44 
0
 
1

Length

Max length4
Median length4
Mean length3.9333333
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
97.8%
0 1
 
2.2%

Length

2024-05-11T00:54:10.658795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:54:11.089997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
97.8%
0 1
 
2.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)100.0%
Memory size537.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing44
Missing (%)97.8%
Memory size492.0 B
2024-05-11T00:54:11.439438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
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 (%)100.0%

Sample

1st row주거지역
ValueCountFrequency (%)
주거지역 1
100.0%
2024-05-11T00:54:12.151376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03140000CDFF324106199500000119950105<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2652-0922<NA>158809서울특별시 양천구 목동 ***-**번지서울특별시 양천구 목동중앙본로**길 ** (목동)07973대명음반2007-03-26 15:20:06I2018-08-31 23:59:59.0<NA>188662.118782449179.916502음반.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>
13140000CDFF324106200200000120021129<NA>3폐업3폐업20111223<NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-**번지 현대드림타워 ***호서울특별시 양천구 목동동로 ***-*, ***호 (목동,현대드림타워)<NA>본뮤직2011-12-23 15:05:54I2018-08-31 23:59:59.0<NA>188584.345447447255.070457음반.음악영상물제작업유통관련업<NA><NA>음반CD36.0<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>
23140000CDFF324106200600000120060223<NA>3폐업3폐업20160520<NA><NA><NA>2653-7993<NA><NA>서울특별시 양천구 목동 ***-**번지 현대드림타워 ****호서울특별시 양천구 목동동로 ***-* (목동,현대드림타워 ****호)07995민족영상2016-05-23 09:15:00I2018-08-31 23:59:59.0<NA>188584.345447447255.070457음반.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>
33140000CDFF324106200800000220081124<NA>3폐업3폐업20090612<NA><NA><NA><NA><NA>158050서울특별시 양천구 목동 ***-**번지 부영그린타운*차 지하 ***호서울특별시 양천구 목동동로 ***, ***호 (목동,부영그린타운*차 지하)<NA>필름 더 데이즈2009-06-12 16:11:51I2018-08-31 23:59:59.0<NA>189519.862506448282.256149음반.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>
43140000CDFF324106201000000120100401<NA>3폐업3폐업20191226<NA><NA><NA>2642-2859<NA><NA>서울특별시 양천구 목동 ***번지 목동성우네트빌 *층 ***호서울특별시 양천구 목동서로 ***, ***호 (목동,목동성우네트빌 *층)07992인이레(주)2019-12-26 17:56:49U2019-12-28 02:40:00.0<NA>188585.854107447573.303575음반.음악영상물제작업유통관련업<NA><NA>문화영상콘텐츠, 홍보비디오 외48.06<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53140000CDFF324106201000000220100407<NA>1영업/정상13영업중<NA><NA><NA><NA>6347-9872<NA><NA>서울특별시 양천구 신월동 ***-*번지서울특별시 양천구 중앙로 *** (신월동)08028(주)하나컬쳐2010-04-07 13:55:22I2018-08-31 23:59:59.0<NA>186806.633904446692.900491음반.음악영상물제작업유통관련업<NA><NA>음반영상물19.68<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>
63140000CDFF324106201100000120110520<NA>3폐업3폐업20121109<NA><NA><NA>3445-2057<NA><NA>서울특별시 양천구 목동 ***-**번지 부영그린타운*차 *층 ***호, ***호서울특별시 양천구 목동동로 *** (목동,부영그린타운*차 *층 ***호, ***호)<NA>(주)부영엔터테인먼트2012-11-09 17:10:40I2018-08-31 23:59:59.0<NA>189519.862506448282.256149음반.음악영상물제작업유통관련업<NA><NA>음반기획 및 제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73140000CDFF324106201100000220111111<NA>5제외/삭제/전출15전출20220816<NA><NA><NA>2647-1285<NA><NA>서울특별시 양천구 목동 *** KT정보전산센터 *층서울특별시 양천구 목동서로 *** (목동)158714(주)케이엠에이치2022-08-16 16:06:57U2021-12-07 23:08:00.0<NA>188538.244361447476.275718<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83140000CDFF324106201100000320111223<NA>1영업/정상13영업중<NA><NA><NA><NA>2695-2844<NA><NA>서울특별시 양천구 목동 ***-*번지 *층서울특별시 양천구 등촌로 ***, *층 (목동)07946빅스타레코드2012-05-29 14:18:36I2018-08-31 23:59:59.0<NA>187968.497078449833.140238음반.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>
93140000CDFF324106201200000120121109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ****-*번지 현대프라자 지하*층서울특별시 양천구 중앙로**길 ** (신정동)08087메인쇼2012-11-09 17:50:43I2018-08-31 23:59:59.0<NA>187587.063453446444.996172음반.음악영상물제작업유통관련업<NA>기타음반제작92.56<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
353140000CDFF324106202200000420220822<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 ***-**서울특별시 양천구 중앙로**길 ** (신월동)07934하모니카2022-08-22 15:45:19I2021-12-07 22:04:00.0<NA>186399.630008446925.645126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363140000CDFF324106202200000520220920<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-** 거산빌리지 ***호서울특별시 양천구 목동중앙북로*길 **, ***호 (목동, 거산빌리지)07946휘2022-09-20 18:00:52I2021-12-08 22:02:00.0<NA>188073.44692449696.135466<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373140000CDFF32410620220000062022-11-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 ***-* 금호빌라서울특별시 양천구 남부순환로**길 **-*, *층 ***호 (신월동, 금호빌라)08039엠티엔터테인먼트2023-02-03 09:07:05U2022-12-02 00:05:00.0<NA>185365.565446692.335<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383140000CDFF32410620230000012023-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-**서울특별시 양천구 오목로 ***, 지하*층, *, *층 (목동)08000초이크리에이티브랩2023-05-08 20:36:13I2022-12-04 23:00:00.0<NA>188620.555492447006.657414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393140000CDFF32410620230000022023-08-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 ***-**서울특별시 양천구 목동중앙본로*길 **, *층 (목동)07955JSTAR 뮤비방2023-08-16 08:53:18I2022-12-07 23:08:00.0<NA>188111.081854448607.421311<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403140000CDFF32410620230000031997-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신월동 ***-*서울특별시 양천구 중앙로**가길 **-* (신월동)07933도서출판비전2023-08-23 10:49:04I2022-12-07 22:05:00.0<NA>186496.322273447089.476558<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413140000CDFF32410620230000042023-10-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 **** 세양청마루아파트 ***동 ***호서울특별시 양천구 목동남로*길 **-**, ***동 *층 ***호 (신정동, 세양청마루아파트)08105테일러 사운드2023-10-20 16:31:53I2022-10-30 22:02:00.0<NA>187876.785857445001.620672<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423140000CDFF32410620240000012024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 목동 *** 목동성우네트빌서울특별시 양천구 목동서로 ***, 목동성우네트빌 **층 ****호 (목동)07992제이팝미디어2024-02-14 16:19:11I2023-12-01 23:07:00.0<NA>188585.854107447573.303575<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433140000CDFF32410620240000022024-02-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 양천구 신정동 ***-**서울특별시 양천구 목동남로*길 **, *층 (신정동)08104엠엔에스뮤직2024-02-20 10:19:01I2023-12-01 22:02:00.0<NA>187961.25482445021.404026<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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