Overview

Dataset statistics

Number of variables56
Number of observations100
Missing cells2691
Missing cells (%)48.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.5 KiB
Average record size in memory486.3 B

Variable types

Categorical18
Text5
DateTime4
Unsupported23
Numeric6

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17867/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태코드 is highly imbalanced (54.0%)Imbalance
상세영업상태명 is highly imbalanced (54.0%)Imbalance
주변환경명 is highly imbalanced (61.6%)Imbalance
건물용도명 is highly imbalanced (58.2%)Imbalance
통로너비 is highly imbalanced (75.8%)Imbalance
조명시설조도 is highly imbalanced (75.8%)Imbalance
노래방실수 is highly imbalanced (75.8%)Imbalance
청소년실수 is highly imbalanced (75.8%)Imbalance
총게임기수 is highly imbalanced (75.8%)Imbalance
지역구분명 is highly imbalanced (62.8%)Imbalance
인허가취소일자 has 100 (100.0%) missing valuesMissing
폐업일자 has 78 (78.0%) missing valuesMissing
휴업시작일자 has 100 (100.0%) missing valuesMissing
휴업종료일자 has 100 (100.0%) missing valuesMissing
재개업일자 has 100 (100.0%) missing valuesMissing
전화번호 has 35 (35.0%) missing valuesMissing
소재지면적 has 100 (100.0%) missing valuesMissing
도로명주소 has 2 (2.0%) missing valuesMissing
도로명우편번호 has 42 (42.0%) missing valuesMissing
업태구분명 has 100 (100.0%) missing valuesMissing
좌표정보(X) has 10 (10.0%) missing valuesMissing
좌표정보(Y) has 10 (10.0%) missing valuesMissing
총층수 has 76 (76.0%) missing valuesMissing
제작취급품목내용 has 100 (100.0%) missing valuesMissing
시설면적 has 64 (64.0%) missing valuesMissing
지상층수 has 74 (74.0%) missing valuesMissing
비상계단여부 has 100 (100.0%) missing valuesMissing
비상구여부 has 100 (100.0%) missing valuesMissing
자동환기여부 has 100 (100.0%) missing valuesMissing
청소년실여부 has 100 (100.0%) missing valuesMissing
특수조명여부 has 100 (100.0%) missing valuesMissing
방음시설여부 has 100 (100.0%) missing valuesMissing
비디오재생기명 has 100 (100.0%) missing valuesMissing
조명시설유무 has 100 (100.0%) missing valuesMissing
음향시설여부 has 100 (100.0%) missing valuesMissing
편의시설여부 has 100 (100.0%) missing valuesMissing
소방시설여부 has 100 (100.0%) missing valuesMissing
기존게임업외업종명 has 100 (100.0%) missing valuesMissing
제공게임물명 has 100 (100.0%) missing valuesMissing
공연장형태구분명 has 100 (100.0%) missing valuesMissing
품목명 has 100 (100.0%) missing valuesMissing
최초등록시점 has 100 (100.0%) missing valuesMissing
관리번호 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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 10 (10.0%) zerosZeros
시설면적 has 20 (20.0%) zerosZeros
지상층수 has 10 (10.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:20:17.396944
Analysis finished2024-05-11 06:20:18.879267
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
3150000
100 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 100
100.0%

Length

2024-05-11T06:20:19.168104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:19.526505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 100
100.0%

관리번호
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-05-11T06:20:20.150705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2000
Distinct characters14
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

Unique100 ?
Unique (%)100.0%

Sample

1st rowCDFG1252001967000001
2nd rowCDFG1252001969000001
3rd rowCDFG1252001970000001
4th rowCDFG1252001970000002
5th rowCDFG1252001971000001
ValueCountFrequency (%)
cdfg1252001967000001 1
 
1.0%
cdfg1252002015000003 1
 
1.0%
cdfg1252002018000001 1
 
1.0%
cdfg1252002017000007 1
 
1.0%
cdfg1252002017000006 1
 
1.0%
cdfg1252002017000005 1
 
1.0%
cdfg1252002017000004 1
 
1.0%
cdfg1252002017000003 1
 
1.0%
cdfg1252002017000002 1
 
1.0%
cdfg1252002016000005 1
 
1.0%
Other values (90) 90
90.0%
2024-05-11T06:20:21.693374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 822
41.1%
2 336
16.8%
1 199
 
10.0%
5 130
 
6.5%
C 100
 
5.0%
D 100
 
5.0%
F 100
 
5.0%
G 100
 
5.0%
9 34
 
1.7%
7 19
 
0.9%
Other values (4) 60
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1600
80.0%
Uppercase Letter 400
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 822
51.4%
2 336
21.0%
1 199
 
12.4%
5 130
 
8.1%
9 34
 
2.1%
7 19
 
1.2%
3 19
 
1.2%
4 17
 
1.1%
6 12
 
0.8%
8 12
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 100
25.0%
D 100
25.0%
F 100
25.0%
G 100
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1600
80.0%
Latin 400
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 822
51.4%
2 336
21.0%
1 199
 
12.4%
5 130
 
8.1%
9 34
 
2.1%
7 19
 
1.2%
3 19
 
1.2%
4 17
 
1.1%
6 12
 
0.8%
8 12
 
0.8%
Latin
ValueCountFrequency (%)
C 100
25.0%
D 100
25.0%
F 100
25.0%
G 100
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 822
41.1%
2 336
16.8%
1 199
 
10.0%
5 130
 
6.5%
C 100
 
5.0%
D 100
 
5.0%
F 100
 
5.0%
G 100
 
5.0%
9 34
 
1.7%
7 19
 
0.9%
Other values (4) 60
 
3.0%

인허가일자
Date

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum1967-12-04 00:00:00
Maximum2024-04-25 00:00:00
2024-05-11T06:20:22.877641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:20:23.579457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
78 
3
20 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 78
78.0%
3 20
 
20.0%
5 2
 
2.0%

Length

2024-05-11T06:20:24.178289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:24.589787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 78
78.0%
3 20
 
20.0%
5 2
 
2.0%

영업상태명
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
영업/정상
78 
폐업
20 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.46
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 78
78.0%
폐업 20
 
20.0%
제외/삭제/전출 2
 
2.0%

Length

2024-05-11T06:20:25.139657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:25.459320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 78
78.0%
폐업 20
 
20.0%
제외/삭제/전출 2
 
2.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
13
75 
03
20 
BBBB
 
2
15
 
2
14
 
1

Length

Max length4
Median length2
Mean length2.04
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row03
2nd row13
3rd row13
4th row03
5th row03

Common Values

ValueCountFrequency (%)
13 75
75.0%
03 20
 
20.0%
BBBB 2
 
2.0%
15 2
 
2.0%
14 1
 
1.0%

Length

2024-05-11T06:20:25.996004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:26.386566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 75
75.0%
03 20
 
20.0%
bbbb 2
 
2.0%
15 2
 
2.0%
14 1
 
1.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
영업중
75 
폐업
20 
<NA>
 
2
전출
 
2
전입
 
1

Length

Max length4
Median length3
Mean length2.79
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 75
75.0%
폐업 20
 
20.0%
<NA> 2
 
2.0%
전출 2
 
2.0%
전입 1
 
1.0%

Length

2024-05-11T06:20:27.112625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:27.649532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 75
75.0%
폐업 20
 
20.0%
na 2
 
2.0%
전출 2
 
2.0%
전입 1
 
1.0%

폐업일자
Date

MISSING 

Distinct22
Distinct (%)100.0%
Missing78
Missing (%)78.0%
Memory size932.0 B
Minimum2000-06-05 00:00:00
Maximum2023-07-25 00:00:00
2024-05-11T06:20:28.108733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:20:28.631676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

전화번호
Text

MISSING 

Distinct61
Distinct (%)93.8%
Missing35
Missing (%)35.0%
Memory size932.0 B
2024-05-11T06:20:29.364480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.092308
Min length8

Characters and Unicode

Total characters656
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)87.7%

Sample

1st row691-5311
2nd row3663-3531
3rd row3662-5200
4th row694-0430
5th row3661-0051
ValueCountFrequency (%)
02-3664-1650 2
 
3.1%
02-6418-8000 2
 
3.1%
02-2274-1590 2
 
3.1%
2065-1591 2
 
3.1%
02-2659-1325 1
 
1.5%
02-2659-4003 1
 
1.5%
2662-5907 1
 
1.5%
839-5455 1
 
1.5%
02-6489-8789 1
 
1.5%
3665-2641 1
 
1.5%
Other values (51) 51
78.5%
2024-05-11T06:20:30.464017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 106
16.2%
- 90
13.7%
0 87
13.3%
2 84
12.8%
3 57
8.7%
5 50
7.6%
1 49
7.5%
4 36
 
5.5%
8 33
 
5.0%
7 32
 
4.9%
Other values (2) 32
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 565
86.1%
Dash Punctuation 90
 
13.7%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 106
18.8%
0 87
15.4%
2 84
14.9%
3 57
10.1%
5 50
8.8%
1 49
8.7%
4 36
 
6.4%
8 33
 
5.8%
7 32
 
5.7%
9 31
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 106
16.2%
- 90
13.7%
0 87
13.3%
2 84
12.8%
3 57
8.7%
5 50
7.6%
1 49
7.5%
4 36
 
5.5%
8 33
 
5.0%
7 32
 
4.9%
Other values (2) 32
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 106
16.2%
- 90
13.7%
0 87
13.3%
2 84
12.8%
3 57
8.7%
5 50
7.6%
1 49
7.5%
4 36
 
5.5%
8 33
 
5.0%
7 32
 
4.9%
Other values (2) 32
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

소재지우편번호
Categorical

Distinct28
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
45 
157838
8 
157862
7 
157839
6 
157840
6 
Other values (23)
28 

Length

Max length7
Median length6
Mean length5.11
Min length4

Unique

Unique18 ?
Unique (%)18.0%

Sample

1st row157839
2nd row157-839
3rd row157210
4th row157838
5th row157839

Common Values

ValueCountFrequency (%)
<NA> 45
45.0%
157838 8
 
8.0%
157862 7
 
7.0%
157839 6
 
6.0%
157840 6
 
6.0%
157210 2
 
2.0%
157861 2
 
2.0%
157879 2
 
2.0%
157801 2
 
2.0%
157930 2
 
2.0%
Other values (18) 18
 
18.0%

Length

2024-05-11T06:20:31.365435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 45
45.0%
157838 8
 
8.0%
157862 7
 
7.0%
157839 6
 
6.0%
157840 6
 
6.0%
157879 2
 
2.0%
157801 2
 
2.0%
157930 2
 
2.0%
157861 2
 
2.0%
157210 2
 
2.0%
Other values (18) 18
 
18.0%

지번주소
Text

Distinct72
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-05-11T06:20:31.981274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length26.73
Min length19

Characters and Unicode

Total characters2673
Distinct characters132
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)64.0%

Sample

1st row서울특별시 강서구 등촌동 ***-**번지
2nd row서울특별시 강서구 등촌동 ***-**
3rd row서울특별시 강서구 마곡동 **-*번지
4th row서울특별시 강서구 등촌동 ***-**번지
5th row서울특별시 강서구 등촌동 ***-*번지
ValueCountFrequency (%)
서울특별시 100
20.4%
강서구 99
20.2%
번지 73
14.9%
등촌동 36
 
7.3%
29
 
5.9%
호 22
 
4.5%
화곡동 20
 
4.1%
마곡동 15
 
3.1%
염창동 14
 
2.9%
층 8
 
1.6%
Other values (53) 74
15.1%
2024-05-11T06:20:33.146830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 544
20.4%
455
17.0%
서 201
 
7.5%
동 110
 
4.1%
강 103
 
3.9%
구 100
 
3.7%
울 100
 
3.7%
시 100
 
3.7%
별 100
 
3.7%
특 100
 
3.7%
Other values (122) 760
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1552
58.1%
Other Punctuation 545
 
20.4%
Space Separator 455
 
17.0%
Dash Punctuation 95
 
3.6%
Uppercase Letter 13
 
0.5%
Decimal Number 4
 
0.1%
Letter Number 3
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 201
13.0%
동 110
 
7.1%
강 103
 
6.6%
구 100
 
6.4%
울 100
 
6.4%
시 100
 
6.4%
별 100
 
6.4%
특 100
 
6.4%
지 77
 
5.0%
번 73
 
4.7%
Other values (102) 488
31.4%
Uppercase Letter
ValueCountFrequency (%)
B 7
53.8%
A 2
 
15.4%
W 1
 
7.7%
M 1
 
7.7%
G 1
 
7.7%
S 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
9 1
25.0%
8 1
25.0%
2 1
25.0%
1 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 544
99.8%
, 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
Math Symbol
ValueCountFrequency (%)
< 1
50.0%
> 1
50.0%
Space Separator
ValueCountFrequency (%)
455
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1552
58.1%
Common 1105
41.3%
Latin 16
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 201
13.0%
동 110
 
7.1%
강 103
 
6.6%
구 100
 
6.4%
울 100
 
6.4%
시 100
 
6.4%
별 100
 
6.4%
특 100
 
6.4%
지 77
 
5.0%
번 73
 
4.7%
Other values (102) 488
31.4%
Common
ValueCountFrequency (%)
* 544
49.2%
455
41.2%
- 95
 
8.6%
) 2
 
0.2%
( 2
 
0.2%
, 1
 
0.1%
9 1
 
0.1%
8 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
B 7
43.8%
A 2
 
12.5%
Ⅰ 2
 
12.5%
W 1
 
6.2%
M 1
 
6.2%
Ⅱ 1
 
6.2%
G 1
 
6.2%
S 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1552
58.1%
ASCII 1118
41.8%
Number Forms 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 544
48.7%
455
40.7%
- 95
 
8.5%
B 7
 
0.6%
A 2
 
0.2%
) 2
 
0.2%
( 2
 
0.2%
W 1
 
0.1%
M 1
 
0.1%
, 1
 
0.1%
Other values (8) 8
 
0.7%
Hangul
ValueCountFrequency (%)
서 201
13.0%
동 110
 
7.1%
강 103
 
6.6%
구 100
 
6.4%
울 100
 
6.4%
시 100
 
6.4%
별 100
 
6.4%
특 100
 
6.4%
지 77
 
5.0%
번 73
 
4.7%
Other values (102) 488
31.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%

도로명주소
Text

MISSING 

Distinct83
Distinct (%)84.7%
Missing2
Missing (%)2.0%
Memory size932.0 B
2024-05-11T06:20:33.916349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length42
Mean length32.938776
Min length23

Characters and Unicode

Total characters3228
Distinct characters141
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)75.5%

Sample

1st row서울특별시 강서구 화곡로**길 *** (등촌동)
2nd row서울특별시 강서구 양천로**나길 * (마곡동)
3rd row서울특별시 강서구 양천로 *** (등촌동)
4th row서울특별시 강서구 양천로 *** (등촌동)
5th row서울특별시 강서구 화곡로**길 **-* (화곡동,지하층)
ValueCountFrequency (%)
99
16.6%
서울특별시 98
16.5%
강서구 97
16.3%
호 34
 
5.7%
등촌동 33
 
5.5%
양천로 20
 
3.4%
화곡동 16
 
2.7%
층 14
 
2.4%
마곡동 14
 
2.4%
화곡로**길 14
 
2.4%
Other values (82) 156
26.2%
2024-05-11T06:20:35.244870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 549
17.0%
534
16.5%
서 212
 
6.6%
강 113
 
3.5%
동 111
 
3.4%
로 100
 
3.1%
( 99
 
3.1%
) 99
 
3.1%
시 98
 
3.0%
구 98
 
3.0%
Other values (131) 1215
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1819
56.4%
Other Punctuation 635
 
19.7%
Space Separator 534
 
16.5%
Open Punctuation 99
 
3.1%
Close Punctuation 99
 
3.1%
Dash Punctuation 22
 
0.7%
Uppercase Letter 12
 
0.4%
Letter Number 3
 
0.1%
Decimal Number 3
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 212
 
11.7%
강 113
 
6.2%
동 111
 
6.1%
로 100
 
5.5%
시 98
 
5.4%
구 98
 
5.4%
별 98
 
5.4%
특 98
 
5.4%
울 98
 
5.4%
곡 72
 
4.0%
Other values (115) 721
39.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
50.0%
A 4
33.3%
W 1
 
8.3%
M 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
* 549
86.5%
, 86
 
13.5%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
8 1
33.3%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
534
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1819
56.4%
Common 1394
43.2%
Latin 15
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 212
 
11.7%
강 113
 
6.2%
동 111
 
6.1%
로 100
 
5.5%
시 98
 
5.4%
구 98
 
5.4%
별 98
 
5.4%
특 98
 
5.4%
울 98
 
5.4%
곡 72
 
4.0%
Other values (115) 721
39.6%
Common
ValueCountFrequency (%)
* 549
39.4%
534
38.3%
( 99
 
7.1%
) 99
 
7.1%
, 86
 
6.2%
- 22
 
1.6%
2 2
 
0.1%
> 1
 
0.1%
< 1
 
0.1%
8 1
 
0.1%
Latin
ValueCountFrequency (%)
B 6
40.0%
A 4
26.7%
Ⅰ 2
 
13.3%
W 1
 
6.7%
M 1
 
6.7%
Ⅱ 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1819
56.4%
ASCII 1406
43.6%
Number Forms 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 549
39.0%
534
38.0%
( 99
 
7.0%
) 99
 
7.0%
, 86
 
6.1%
- 22
 
1.6%
B 6
 
0.4%
A 4
 
0.3%
2 2
 
0.1%
> 1
 
0.1%
Other values (4) 4
 
0.3%
Hangul
ValueCountFrequency (%)
서 212
 
11.7%
강 113
 
6.2%
동 111
 
6.1%
로 100
 
5.5%
시 98
 
5.4%
구 98
 
5.4%
별 98
 
5.4%
특 98
 
5.4%
울 98
 
5.4%
곡 72
 
4.0%
Other values (115) 721
39.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
66.7%
Ⅱ 1
33.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)70.7%
Missing42
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean41327.034
Minimum7532
Maximum157930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T06:20:35.850879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7532
5-th percentile7547
Q17573.5
median7778
Q37805.75
95-th percentile157870.5
Maximum157930
Range150398
Interquartile range (IQR)232.25

Descriptive statistics

Standard deviation63155.227
Coefficient of variation (CV)1.5281819
Kurtosis-0.16144327
Mean41327.034
Median Absolute Deviation (MAD)181.5
Skewness1.3584231
Sum2396968
Variance3.9885827 × 109
MonotonicityNot monotonic
2024-05-11T06:20:36.385796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7548 5
 
5.0%
7788 3
 
3.0%
7801 3
 
3.0%
157930 2
 
2.0%
7551 2
 
2.0%
7741 2
 
2.0%
7547 2
 
2.0%
7792 2
 
2.0%
157862 2
 
2.0%
157838 2
 
2.0%
Other values (31) 33
33.0%
(Missing) 42
42.0%
ValueCountFrequency (%)
7532 1
 
1.0%
7535 1
 
1.0%
7547 2
 
2.0%
7548 5
5.0%
7551 2
 
2.0%
7557 1
 
1.0%
7567 1
 
1.0%
7570 1
 
1.0%
7573 1
 
1.0%
7575 1
 
1.0%
ValueCountFrequency (%)
157930 2
2.0%
157913 1
1.0%
157863 1
1.0%
157862 2
2.0%
157861 1
1.0%
157840 1
1.0%
157838 2
2.0%
157804 1
1.0%
157802 1
1.0%
157201 1
1.0%

사업장명
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-05-11T06:20:37.202338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.32
Min length2

Characters and Unicode

Total characters732
Distinct characters185
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

Unique96 ?
Unique (%)96.0%

Sample

1st row대일인쇄
2nd row일신인쇄(주)
3rd row(주)시대인쇄
4th row고려서적(주)강서사업부
5th row(주)중앙문화인쇄
ValueCountFrequency (%)
주식회사 8
 
6.8%
신영문화사 2
 
1.7%
사단법인 2
 
1.7%
대성기획 2
 
1.7%
디자인 1
 
0.9%
대일인쇄 1
 
0.9%
한스테크 1
 
0.9%
좋은세상애 1
 
0.9%
다온에스엠디자인 1
 
0.9%
지랜드 1
 
0.9%
Other values (97) 97
82.9%
2024-05-11T06:20:38.732583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 44
 
6.0%
( 38
 
5.2%
) 38
 
5.2%
인 30
 
4.1%
사 27
 
3.7%
스 22
 
3.0%
이 21
 
2.9%
쇄 20
 
2.7%
17
 
2.3%
문 13
 
1.8%
Other values (175) 462
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 618
84.4%
Open Punctuation 38
 
5.2%
Close Punctuation 38
 
5.2%
Uppercase Letter 19
 
2.6%
Space Separator 17
 
2.3%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 44
 
7.1%
인 30
 
4.9%
사 27
 
4.4%
스 22
 
3.6%
이 21
 
3.4%
쇄 20
 
3.2%
문 13
 
2.1%
화 11
 
1.8%
회 11
 
1.8%
디 10
 
1.6%
Other values (161) 409
66.2%
Uppercase Letter
ValueCountFrequency (%)
M 4
21.1%
P 4
21.1%
A 3
15.8%
R 3
15.8%
G 1
 
5.3%
E 1
 
5.3%
C 1
 
5.3%
K 1
 
5.3%
S 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 618
84.4%
Common 95
 
13.0%
Latin 19
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 44
 
7.1%
인 30
 
4.9%
사 27
 
4.4%
스 22
 
3.6%
이 21
 
3.4%
쇄 20
 
3.2%
문 13
 
2.1%
화 11
 
1.8%
회 11
 
1.8%
디 10
 
1.6%
Other values (161) 409
66.2%
Latin
ValueCountFrequency (%)
M 4
21.1%
P 4
21.1%
A 3
15.8%
R 3
15.8%
G 1
 
5.3%
E 1
 
5.3%
C 1
 
5.3%
K 1
 
5.3%
S 1
 
5.3%
Common
ValueCountFrequency (%)
( 38
40.0%
) 38
40.0%
17
17.9%
& 1
 
1.1%
. 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 618
84.4%
ASCII 114
 
15.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 44
 
7.1%
인 30
 
4.9%
사 27
 
4.4%
스 22
 
3.6%
이 21
 
3.4%
쇄 20
 
3.2%
문 13
 
2.1%
화 11
 
1.8%
회 11
 
1.8%
디 10
 
1.6%
Other values (161) 409
66.2%
ASCII
ValueCountFrequency (%)
( 38
33.3%
) 38
33.3%
17
14.9%
M 4
 
3.5%
P 4
 
3.5%
A 3
 
2.6%
R 3
 
2.6%
G 1
 
0.9%
E 1
 
0.9%
C 1
 
0.9%
Other values (4) 4
 
3.5%

최종수정일자
Date

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2003-04-18 11:51:11
Maximum2024-04-25 17:59:14
2024-05-11T06:20:39.216763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:20:39.646448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
I
82 
U
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 82
82.0%
U 18
 
18.0%

Length

2024-05-11T06:20:40.057600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:40.375228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 82
82.0%
u 18
 
18.0%

데이터갱신일자
Date

Distinct35
Distinct (%)35.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:07:00
2024-05-11T06:20:40.889207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:20:41.588831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)77.8%
Missing10
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean186967.92
Minimum183356.51
Maximum192681.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T06:20:42.215721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183356.51
5-th percentile184584.22
Q1186280.94
median187160.67
Q3187703.25
95-th percentile188646.81
Maximum192681.81
Range9325.3058
Interquartile range (IQR)1422.316

Descriptive statistics

Standard deviation1363.8092
Coefficient of variation (CV)0.0072943488
Kurtosis3.2076537
Mean186967.92
Median Absolute Deviation (MAD)672.24842
Skewness0.13140846
Sum16827113
Variance1859975.6
MonotonicityNot monotonic
2024-05-11T06:20:42.745047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
187160.665637183 7
 
7.0%
188646.810503675 4
 
4.0%
187952.560027898 3
 
3.0%
187117.224057771 2
 
2.0%
187142.520159168 2
 
2.0%
186800.193947236 2
 
2.0%
187493.03635056 2
 
2.0%
186280.938515685 2
 
2.0%
185488.56093285 2
 
2.0%
187182.851540674 2
 
2.0%
Other values (60) 62
62.0%
(Missing) 10
 
10.0%
ValueCountFrequency (%)
183356.508299031 1
1.0%
183496.692501805 1
1.0%
183517.75999736 1
1.0%
184300.877642506 1
1.0%
184526.084367975 1
1.0%
184655.264279055 1
1.0%
184805.681473385 1
1.0%
185075.961315199 1
1.0%
185290.575517909 1
1.0%
185445.0 1
1.0%
ValueCountFrequency (%)
192681.814128886 1
 
1.0%
189124.441211963 1
 
1.0%
188727.598189382 1
 
1.0%
188646.810503675 4
4.0%
188633.287833453 2
2.0%
188551.477680807 1
 
1.0%
188538.531422494 1
 
1.0%
188429.106552524 1
 
1.0%
188040.096652549 1
 
1.0%
187999.046660331 1
 
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)77.8%
Missing10
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean450178
Minimum447414.84
Maximum452179.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T06:20:43.276930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447414.84
5-th percentile447682.06
Q1449704.25
median450490.24
Q3450871.94
95-th percentile451735.39
Maximum452179.58
Range4764.7327
Interquartile range (IQR)1167.6918

Descriptive statistics

Standard deviation1118.6377
Coefficient of variation (CV)0.0024848786
Kurtosis0.40784661
Mean450178
Median Absolute Deviation (MAD)481.36283
Skewness-0.89752254
Sum40516020
Variance1251350.2
MonotonicityNot monotonic
2024-05-11T06:20:44.014779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
450873.017067141 7
 
7.0%
449720.713458418 4
 
4.0%
450562.020225978 3
 
3.0%
450868.720608284 2
 
2.0%
450809.366186016 2
 
2.0%
449680.272769723 2
 
2.0%
450452.114414053 2
 
2.0%
448000.309783166 2
 
2.0%
449183.873175335 2
 
2.0%
450732.022147376 2
 
2.0%
Other values (60) 62
62.0%
(Missing) 10
 
10.0%
ValueCountFrequency (%)
447414.842626865 1
1.0%
447581.125959193 1
1.0%
447641.032856616 1
1.0%
447663.647693336 1
1.0%
447671.746127989 1
1.0%
447694.672135093 1
1.0%
447775.786483583 1
1.0%
448000.309783166 2
2.0%
448058.802428359 1
1.0%
448482.530951085 1
1.0%
ValueCountFrequency (%)
452179.575362641 1
1.0%
452149.512190298 1
1.0%
451927.393990243 1
1.0%
451864.298152252 1
1.0%
451745.8184619 1
1.0%
451722.650631223 1
1.0%
451592.633437183 1
1.0%
451485.251875922 1
1.0%
451462.350090067 1
1.0%
451180.446651127 1
1.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
인쇄사
84 
<NA>
16 

Length

Max length4
Median length3
Mean length3.16
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 84
84.0%
<NA> 16
 
16.0%

Length

2024-05-11T06:20:44.673838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:45.038225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 84
84.0%
na 16
 
16.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
출판인쇄업
84 
<NA>
16 

Length

Max length5
Median length5
Mean length4.84
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
출판인쇄업 84
84.0%
<NA> 16
 
16.0%

Length

2024-05-11T06:20:45.428231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:45.777081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
출판인쇄업 84
84.0%
na 16
 
16.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)29.2%
Missing76
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean3.125
Minimum0
Maximum15
Zeros10
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T06:20:46.064911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q34.25
95-th percentile9.55
Maximum15
Range15
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation3.7219969
Coefficient of variation (CV)1.191039
Kurtosis3.4328153
Mean3.125
Median Absolute Deviation (MAD)3
Skewness1.6313842
Sum75
Variance13.853261
MonotonicityNot monotonic
2024-05-11T06:20:46.431073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 10
 
10.0%
4 6
 
6.0%
5 3
 
3.0%
2 2
 
2.0%
15 1
 
1.0%
10 1
 
1.0%
7 1
 
1.0%
(Missing) 76
76.0%
ValueCountFrequency (%)
0 10
10.0%
2 2
 
2.0%
4 6
6.0%
5 3
 
3.0%
7 1
 
1.0%
10 1
 
1.0%
15 1
 
1.0%
ValueCountFrequency (%)
15 1
 
1.0%
10 1
 
1.0%
7 1
 
1.0%
5 3
 
3.0%
4 6
6.0%
2 2
 
2.0%
0 10
10.0%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
87 
기타
12 
유흥업소밀집지역
 
1

Length

Max length8
Median length4
Mean length3.8
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 87
87.0%
기타 12
 
12.0%
유흥업소밀집지역 1
 
1.0%

Length

2024-05-11T06:20:47.010355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:47.519806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 87
87.0%
기타 12
 
12.0%
유흥업소밀집지역 1
 
1.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)36.1%
Missing64
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean48.890556
Minimum0
Maximum488
Zeros20
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T06:20:47.954676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q366
95-th percentile173.25
Maximum488
Range488
Interquartile range (IQR)66

Descriptive statistics

Standard deviation93.438457
Coefficient of variation (CV)1.911176
Kurtosis13.732544
Mean48.890556
Median Absolute Deviation (MAD)0
Skewness3.3216409
Sum1760.06
Variance8730.7452
MonotonicityNot monotonic
2024-05-11T06:20:48.501259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 20
 
20.0%
66.0 4
 
4.0%
165.0 2
 
2.0%
198.0 1
 
1.0%
16.5 1
 
1.0%
82.5 1
 
1.0%
38.28 1
 
1.0%
106.56 1
 
1.0%
488.0 1
 
1.0%
47.25 1
 
1.0%
Other values (3) 3
 
3.0%
(Missing) 64
64.0%
ValueCountFrequency (%)
0.0 20
20.0%
10.0 1
 
1.0%
16.5 1
 
1.0%
38.28 1
 
1.0%
43.89 1
 
1.0%
47.25 1
 
1.0%
66.0 4
 
4.0%
82.5 1
 
1.0%
106.56 1
 
1.0%
135.08 1
 
1.0%
ValueCountFrequency (%)
488.0 1
 
1.0%
198.0 1
 
1.0%
165.0 2
2.0%
135.08 1
 
1.0%
106.56 1
 
1.0%
82.5 1
 
1.0%
66.0 4
4.0%
47.25 1
 
1.0%
43.89 1
 
1.0%
38.28 1
 
1.0%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)34.6%
Missing74
Missing (%)74.0%
Infinite0
Infinite (%)0.0%
Mean3.1538462
Minimum0
Maximum21
Zeros10
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-05-11T06:20:48.868453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2.5
Q34
95-th percentile10.5
Maximum21
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.6276759
Coefficient of variation (CV)1.4673119
Kurtosis8.5262514
Mean3.1538462
Median Absolute Deviation (MAD)2.5
Skewness2.648359
Sum82
Variance21.415385
MonotonicityNot monotonic
2024-05-11T06:20:49.224506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 10
 
10.0%
3 5
 
5.0%
4 4
 
4.0%
1 2
 
2.0%
2 1
 
1.0%
11 1
 
1.0%
9 1
 
1.0%
6 1
 
1.0%
21 1
 
1.0%
(Missing) 74
74.0%
ValueCountFrequency (%)
0 10
10.0%
1 2
 
2.0%
2 1
 
1.0%
3 5
5.0%
4 4
 
4.0%
6 1
 
1.0%
9 1
 
1.0%
11 1
 
1.0%
21 1
 
1.0%
ValueCountFrequency (%)
21 1
 
1.0%
11 1
 
1.0%
9 1
 
1.0%
6 1
 
1.0%
4 4
 
4.0%
3 5
5.0%
2 1
 
1.0%
1 2
 
2.0%
0 10
10.0%

지하층수
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
77 
1
12 
0
10 
4
 
1

Length

Max length4
Median length4
Mean length3.31
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 77
77.0%
1 12
 
12.0%
0 10
 
10.0%
4 1
 
1.0%

Length

2024-05-11T06:20:49.708566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:50.045048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 77
77.0%
1 12
 
12.0%
0 10
 
10.0%
4 1
 
1.0%

건물용도명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
85 
근린생활시설
14 
사무실
 
1

Length

Max length6
Median length4
Mean length4.27
Min length3

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 85
85.0%
근린생활시설 14
 
14.0%
사무실 1
 
1.0%

Length

2024-05-11T06:20:50.461444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:50.866881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
85.0%
근린생활시설 14
 
14.0%
사무실 1
 
1.0%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
96 
0
 
4

Length

Max length4
Median length4
Mean length3.88
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> 96
96.0%
0 4
 
4.0%

Length

2024-05-11T06:20:51.314667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:51.796212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
96.0%
0 4
 
4.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
96 
0
 
4

Length

Max length4
Median length4
Mean length3.88
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> 96
96.0%
0 4
 
4.0%

Length

2024-05-11T06:20:52.206778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:52.536646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
96.0%
0 4
 
4.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
96 
0
 
4

Length

Max length4
Median length4
Mean length3.88
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> 96
96.0%
0 4
 
4.0%

Length

2024-05-11T06:20:53.021097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:53.357613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
96.0%
0 4
 
4.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
96 
0
 
4

Length

Max length4
Median length4
Mean length3.88
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> 96
96.0%
0 4
 
4.0%

Length

2024-05-11T06:20:53.684004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:54.230268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
96.0%
0 4
 
4.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
96 
0
 
4

Length

Max length4
Median length4
Mean length3.88
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> 96
96.0%
0 4
 
4.0%

Length

2024-05-11T06:20:54.804321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:55.303977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
96.0%
0 4
 
4.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing100
Missing (%)100.0%
Memory size1.0 KiB

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
<NA>
85 
일반주거지역
 
7
준공업지역
 
5
일반상업지역
 
2
주거지역
 
1

Length

Max length6
Median length4
Mean length4.23
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 85
85.0%
일반주거지역 7
 
7.0%
준공업지역 5
 
5.0%
일반상업지역 2
 
2.0%
주거지역 1
 
1.0%

Length

2024-05-11T06:20:55.725516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:20:56.204468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
85.0%
일반주거지역 7
 
7.0%
준공업지역 5
 
5.0%
일반상업지역 2
 
2.0%
주거지역 1
 
1.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFG125200196700000119671204<NA>3폐업03폐업20110325<NA><NA><NA>691-5311<NA>157839서울특별시 강서구 등촌동 ***-**번지<NA><NA>대일인쇄2011-04-28 13:26:38I2018-08-31 23:59:59.0<NA><NA><NA>인쇄사출판인쇄업<NA><NA><NA>0.0<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>
13150000CDFG12520019690000011969-03-04<NA>1영업/정상13영업중<NA><NA><NA><NA>3663-3531<NA>157-839서울특별시 강서구 등촌동 ***-**서울특별시 강서구 화곡로**길 *** (등촌동)<NA>일신인쇄(주)2023-09-14 14:17:48U2022-12-08 23:06:00.0<NA>187622.85576450346.199891<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23150000CDFG125200197000000119700509<NA>1영업/정상13영업중<NA><NA><NA><NA>3662-5200<NA>157210서울특별시 강서구 마곡동 **-*번지서울특별시 강서구 양천로**나길 * (마곡동)<NA>(주)시대인쇄2003-05-03 15:53:33I2018-08-31 23:59:59.0<NA>185647.774425452149.51219인쇄사출판인쇄업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33150000CDFG125200197000000219700912<NA>3폐업03폐업20000605<NA><NA><NA>694-0430<NA>157838서울특별시 강서구 등촌동 ***-**번지서울특별시 강서구 양천로 *** (등촌동)<NA>고려서적(주)강서사업부2003-04-18 11:51:11I2018-08-31 23:59:59.0<NA>187318.488409450810.52048인쇄사출판인쇄업<NA><NA><NA>0.0<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>
43150000CDFG125200197100000119710909<NA>3폐업03폐업20021022<NA><NA><NA>3661-0051<NA>157839서울특별시 강서구 등촌동 ***-*번지서울특별시 강서구 양천로 *** (등촌동)<NA>(주)중앙문화인쇄2003-04-18 11:51:11I2018-08-31 23:59:59.0<NA>187999.04666450348.436581인쇄사출판인쇄업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53150000CDFG125200197400000119740426<NA>1영업/정상13영업중<NA><NA><NA><NA>697-1122<NA>157928서울특별시 강서구 화곡동 ****-**번지 지하층서울특별시 강서구 화곡로**길 **-* (화곡동,지하층)<NA>한밤의 소리사2003-04-18 11:51:11I2018-08-31 23:59:59.0<NA>186859.971132450042.562376인쇄사출판인쇄업<NA><NA><NA>0.0<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>
63150000CDFG125200197500000119750710<NA>1영업/정상13영업중<NA><NA><NA><NA>662-0643<NA>157851서울특별시 강서구 방화동 ***-**번지서울특별시 강서구 방화동로 ** (방화동)<NA>남일인쇄소2003-04-18 11:51:11I2018-08-31 23:59:59.0<NA>183356.508299451592.633437인쇄사출판인쇄업<NA><NA><NA>0.0<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>
73150000CDFG125200197900000219790719<NA>1영업/정상13영업중<NA><NA><NA><NA>602-5383<NA>157839서울특별시 강서구 등촌동 ***-**번지서울특별시 강서구 화곡로**길 *** (등촌동)<NA>한선인쇄사2003-04-18 11:51:11I2018-08-31 23:59:59.0<NA>187493.036351450452.114414인쇄사출판인쇄업<NA><NA><NA>0.0<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>
83150000CDFG125200198000000119800307<NA>3폐업03폐업20221221<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 982-1서울특별시 강서구 화곡로 282 (화곡동)7663동문사2022-12-22 11:26:24U2021-11-01 22:04:00.0<NA>186506.006809449725.387313<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93150000CDFG125200198500000119850814<NA>1영업/정상13영업중<NA><NA><NA><NA>666-3245<NA>157801서울특별시 강서구 가양동 ***-**번지서울특별시 강서구 강서로 ***-* (가양동)<NA>보성문화인쇄(주)2003-04-18 11:51:11I2018-08-31 23:59:59.0<NA>185895.844626451927.39399인쇄사출판인쇄업<NA><NA><NA>0.0<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
903150000CDFG125200202200000220220405<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2278-2420<NA><NA>서울특별시 강서구 마곡동 *** ***호서울특별시 강서구 마곡중앙*로*길 **, ***호 (마곡동)7792서영디자인2022-04-05 15:51:31I2021-12-04 00:07:00.0<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>
913150000CDFG125200202200000320220418<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 ***-* ****호서울특별시 강서구 화곡로**길 **, ****호 (등촌동)7548주식회사 이롬컴퍼니2022-04-18 14:32:59I2021-12-03 22:00:00.0<NA>187142.520159450809.366186<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
923150000CDFG12520020220000042022-08-09<NA>5제외/삭제/전출15전출2023-06-09<NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 **-* 금부빌딩서울특별시 강서구 양천로 ***, 금부빌딩 *층 (등촌동)7575메그(MEG)2023-06-09 15:41:51U2022-12-05 23:01:00.0<NA>186966.036177451047.287264<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
933150000CDFG125200202200000520220927<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 이너매스마곡Ⅰ ***호서울특별시 강서구 마곡중앙*로 **, 이너매스마곡Ⅰ ***호 (마곡동)7801삼영애드2022-09-27 14:12:16I2021-12-08 22:09:00.0<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>
943150000CDFG125200202300000120230125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 두산더랜드타워 A동 ***호서울특별시 강서구 마곡서로 ***, 두산더랜드타워 A동 ***호 (마곡동)7788주식회사 바라다2023-01-25 08:54:10I2022-11-30 22:07:00.0<NA>184526.084368451722.650631<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
953150000CDFG12520020230000022011-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA>02-323-2017<NA><NA>서울특별시 강서구 염창동 ***-** 우림블루나인비즈니스센터서울특별시 강서구 양천로 ***, 우림블루나인비즈니스센터 A동 ****호 (염창동)7547(주)에이크리에이티브그룹2023-02-10 11:12:36I2022-12-01 23:02:00.0<NA>187952.560028450562.020226<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
963150000CDFG12520020230000032023-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6258-9258<NA><NA>서울특별시 강서구 마곡동 ***-* 열린M타워Ⅱ서울특별시 강서구 공항대로 ***, 열린M타워Ⅱ ****호 (마곡동)7805와이엘엔지니어링2023-03-20 13:04:01I2022-12-02 22:02:00.0<NA>185290.575518450703.353566<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
973150000CDFG12520020240000012024-01-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 ***-* 가양역 더스카이밸리*차 지식산업센터서울특별시 강서구 화곡로 ***, 가양역 더스카이밸리*차 지식산업센터 ****호 (등촌동)7548주식회사 컨텍스쳐2024-01-24 17:19:12I2023-11-30 22:06:00.0<NA>187160.665637450873.017067<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
983150000CDFG12520020240000022024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ***-**서울특별시 강서구 곰달래로**길 ** (화곡동)7741디자인 공감2024-03-25 08:01:58I2023-12-02 22:07:00.0<NA>187828.083034448058.802428<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
993150000CDFG12520020240000032024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>0236636011<NA><NA>서울특별시 강서구 내발산동 ***-* 항공빌딩서울특별시 강서구 공항대로**길 **-*, 항공빌딩 *층 (내발산동)7647주식회사 와스코2024-04-25 17:59:14I2023-12-03 22:07:00.0<NA>186125.669943450510.869964<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>