Overview

Dataset statistics

Number of variables56
Number of observations165
Missing cells4463
Missing cells (%)48.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.9 KiB
Average record size in memory489.8 B

Variable types

Categorical18
Text6
DateTime4
Unsupported24
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17207/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (94.7%)Imbalance
휴업종료일자 is highly imbalanced (94.7%)Imbalance
총층수 is highly imbalanced (58.1%)Imbalance
지상층수 is highly imbalanced (58.1%)Imbalance
지하층수 is highly imbalanced (58.1%)Imbalance
통로너비 is highly imbalanced (58.1%)Imbalance
조명시설조도 is highly imbalanced (58.1%)Imbalance
노래방실수 is highly imbalanced (58.1%)Imbalance
청소년실수 is highly imbalanced (58.1%)Imbalance
총게임기수 is highly imbalanced (58.1%)Imbalance
인허가취소일자 has 165 (100.0%) missing valuesMissing
폐업일자 has 118 (71.5%) missing valuesMissing
재개업일자 has 165 (100.0%) missing valuesMissing
전화번호 has 132 (80.0%) missing valuesMissing
소재지면적 has 165 (100.0%) missing valuesMissing
소재지우편번호 has 165 (100.0%) missing valuesMissing
업태구분명 has 165 (100.0%) missing valuesMissing
좌표정보(X) has 23 (13.9%) missing valuesMissing
좌표정보(Y) has 23 (13.9%) missing valuesMissing
주변환경명 has 165 (100.0%) missing valuesMissing
제작취급품목내용 has 66 (40.0%) missing valuesMissing
시설면적 has 140 (84.8%) missing valuesMissing
건물용도명 has 165 (100.0%) missing valuesMissing
비상계단여부 has 165 (100.0%) missing valuesMissing
비상구여부 has 165 (100.0%) missing valuesMissing
자동환기여부 has 165 (100.0%) missing valuesMissing
청소년실여부 has 165 (100.0%) missing valuesMissing
특수조명여부 has 165 (100.0%) missing valuesMissing
방음시설여부 has 165 (100.0%) missing valuesMissing
비디오재생기명 has 165 (100.0%) missing valuesMissing
조명시설유무 has 165 (100.0%) missing valuesMissing
음향시설여부 has 165 (100.0%) missing valuesMissing
편의시설여부 has 165 (100.0%) missing valuesMissing
소방시설여부 has 165 (100.0%) missing valuesMissing
기존게임업외업종명 has 165 (100.0%) missing valuesMissing
제공게임물명 has 165 (100.0%) missing valuesMissing
공연장형태구분명 has 165 (100.0%) missing valuesMissing
품목명 has 165 (100.0%) missing valuesMissing
최초등록시점 has 165 (100.0%) missing valuesMissing
지역구분명 has 165 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 4 (2.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:26:48.341672
Analysis finished2024-05-11 05:26:49.882974
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
3150000
165 

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 165
100.0%

Length

2024-05-11T05:26:50.077204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:26:50.323164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 165
100.0%

관리번호
Text

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T05:26:50.643363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters3300
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

Unique165 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092014000001
2nd rowCDFF3241092015000003
3rd rowCDFF3241092015000004
4th rowCDFF3241092015000007
5th rowCDFF3241092015000009
ValueCountFrequency (%)
cdff3241092014000001 1
 
0.6%
cdff3241092020000012 1
 
0.6%
cdff3241092021000012 1
 
0.6%
cdff3241092021000013 1
 
0.6%
cdff3241092021000014 1
 
0.6%
cdff3241092021000015 1
 
0.6%
cdff3241092021000016 1
 
0.6%
cdff3241092021000017 1
 
0.6%
cdff3241092021000018 1
 
0.6%
cdff3241092021000019 1
 
0.6%
Other values (155) 155
93.9%
2024-05-11T05:26:51.257617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1097
33.2%
2 482
14.6%
1 348
 
10.5%
F 330
 
10.0%
3 210
 
6.4%
9 198
 
6.0%
4 191
 
5.8%
C 165
 
5.0%
D 165
 
5.0%
5 42
 
1.3%
Other values (3) 72
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2640
80.0%
Uppercase Letter 660
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1097
41.6%
2 482
18.3%
1 348
 
13.2%
3 210
 
8.0%
9 198
 
7.5%
4 191
 
7.2%
5 42
 
1.6%
8 26
 
1.0%
6 24
 
0.9%
7 22
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 330
50.0%
C 165
25.0%
D 165
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2640
80.0%
Latin 660
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1097
41.6%
2 482
18.3%
1 348
 
13.2%
3 210
 
8.0%
9 198
 
7.5%
4 191
 
7.2%
5 42
 
1.6%
8 26
 
1.0%
6 24
 
0.9%
7 22
 
0.8%
Latin
ValueCountFrequency (%)
F 330
50.0%
C 165
25.0%
D 165
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1097
33.2%
2 482
14.6%
1 348
 
10.5%
F 330
 
10.0%
3 210
 
6.4%
9 198
 
6.0%
4 191
 
5.8%
C 165
 
5.0%
D 165
 
5.0%
5 42
 
1.3%
Other values (3) 72
 
2.2%

인허가일자
Date

Distinct138
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2014-12-12 00:00:00
Maximum2024-05-02 00:00:00
2024-05-11T05:26:51.527886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:26:51.816955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

영업상태코드
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1
117 
3
36 
5
 
11
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
1 117
70.9%
3 36
 
21.8%
5 11
 
6.7%
2 1
 
0.6%

Length

2024-05-11T05:26:52.085534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:26:52.315495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 117
70.9%
3 36
 
21.8%
5 11
 
6.7%
2 1
 
0.6%

영업상태명
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업/정상
117 
폐업
36 
제외/삭제/전출
 
11
휴업
 
1

Length

Max length8
Median length5
Mean length4.5272727
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 117
70.9%
폐업 36
 
21.8%
제외/삭제/전출 11
 
6.7%
휴업 1
 
0.6%

Length

2024-05-11T05:26:52.552943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:26:52.789814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 117
70.9%
폐업 36
 
21.8%
제외/삭제/전출 11
 
6.7%
휴업 1
 
0.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
13
117 
3
36 
15
 
11
2
 
1

Length

Max length2
Median length2
Mean length1.7757576
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
13 117
70.9%
3 36
 
21.8%
15 11
 
6.7%
2 1
 
0.6%

Length

2024-05-11T05:26:53.010857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:26:53.251480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 117
70.9%
3 36
 
21.8%
15 11
 
6.7%
2 1
 
0.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
영업중
117 
폐업
36 
전출
 
11
휴업
 
1

Length

Max length3
Median length3
Mean length2.7090909
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 117
70.9%
폐업 36
 
21.8%
전출 11
 
6.7%
휴업 1
 
0.6%

Length

2024-05-11T05:26:53.479802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:26:53.701252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 117
70.9%
폐업 36
 
21.8%
전출 11
 
6.7%
휴업 1
 
0.6%

폐업일자
Date

MISSING 

Distinct45
Distinct (%)95.7%
Missing118
Missing (%)71.5%
Memory size1.4 KiB
Minimum2015-11-09 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T05:26:53.929645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:26:54.195017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
164 
20211124
 
1

Length

Max length8
Median length4
Mean length4.0242424
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
99.4%
20211124 1
 
0.6%

Length

2024-05-11T05:26:54.620697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:26:54.972851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
99.4%
20211124 1
 
0.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
164 
20221001
 
1

Length

Max length8
Median length4
Mean length4.0242424
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 164
99.4%
20221001 1
 
0.6%

Length

2024-05-11T05:26:55.348797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:26:55.705800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 164
99.4%
20221001 1
 
0.6%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

전화번호
Text

MISSING 

Distinct32
Distinct (%)97.0%
Missing132
Missing (%)80.0%
Memory size1.4 KiB
2024-05-11T05:26:56.066866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.787879
Min length10

Characters and Unicode

Total characters389
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

Unique31 ?
Unique (%)93.9%

Sample

1st row02-3662-8835
2nd row0236617597
3rd row02-3663-8288
4th row02-6925-5077
5th row02-3664-1887
ValueCountFrequency (%)
02-332-2040 2
 
6.1%
0236617597 1
 
3.0%
0263590315 1
 
3.0%
02-3664-2882 1
 
3.0%
02-2658-0502 1
 
3.0%
02-6404-0100 1
 
3.0%
02-2645-7997 1
 
3.0%
02-6741-2073 1
 
3.0%
02-3662-8835 1
 
3.0%
02-2660-0403 1
 
3.0%
Other values (22) 22
66.7%
2024-05-11T05:26:56.780050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 73
18.8%
2 64
16.5%
- 59
15.2%
6 41
10.5%
3 30
7.7%
5 27
 
6.9%
4 24
 
6.2%
7 21
 
5.4%
8 18
 
4.6%
9 16
 
4.1%
Other values (2) 16
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 329
84.6%
Dash Punctuation 59
 
15.2%
Close Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 73
22.2%
2 64
19.5%
6 41
12.5%
3 30
9.1%
5 27
 
8.2%
4 24
 
7.3%
7 21
 
6.4%
8 18
 
5.5%
9 16
 
4.9%
1 15
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 389
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 73
18.8%
2 64
16.5%
- 59
15.2%
6 41
10.5%
3 30
7.7%
5 27
 
6.9%
4 24
 
6.2%
7 21
 
5.4%
8 18
 
4.6%
9 16
 
4.1%
Other values (2) 16
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 389
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 73
18.8%
2 64
16.5%
- 59
15.2%
6 41
10.5%
3 30
7.7%
5 27
 
6.9%
4 24
 
6.2%
7 21
 
5.4%
8 18
 
4.6%
9 16
 
4.1%
Other values (2) 16
 
4.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

지번주소
Text

Distinct129
Distinct (%)78.7%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2024-05-11T05:26:57.300532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length27.292683
Min length17

Characters and Unicode

Total characters4476
Distinct characters175
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)64.6%

Sample

1st row서울특별시 강서구 염창동 ***-**번지 도레미빌딩 *층
2nd row서울특별시 강서구 공항동 **-* E-SKY 오피스텔 ***호
3rd row서울특별시 강서구 화곡동 **-**번지 효성빌라 ***호
4th row서울특별시 강서구 화곡동 ***-**번지 동도센티리움 ***호
5th row서울특별시 강서구 염창동 ***-**번지 *층
ValueCountFrequency (%)
서울특별시 164
19.5%
강서구 164
19.5%
113
13.4%
마곡동 53
 
6.3%
번지 52
 
6.2%
등촌동 43
 
5.1%
호 40
 
4.7%
화곡동 25
 
3.0%
가양동 17
 
2.0%
염창동 13
 
1.5%
Other values (88) 159
18.9%
2024-05-11T05:26:58.091909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 854
19.1%
749
16.7%
서 332
 
7.4%
동 180
 
4.0%
시 171
 
3.8%
강 168
 
3.8%
특 164
 
3.7%
별 164
 
3.7%
구 164
 
3.7%
울 164
 
3.7%
Other values (165) 1366
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2709
60.5%
Other Punctuation 856
 
19.1%
Space Separator 749
 
16.7%
Dash Punctuation 145
 
3.2%
Uppercase Letter 9
 
0.2%
Letter Number 7
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 332
 
12.3%
동 180
 
6.6%
시 171
 
6.3%
강 168
 
6.2%
특 164
 
6.1%
별 164
 
6.1%
구 164
 
6.1%
울 164
 
6.1%
곡 97
 
3.6%
마 73
 
2.7%
Other values (148) 1032
38.1%
Uppercase Letter
ValueCountFrequency (%)
W 1
11.1%
B 1
11.1%
C 1
11.1%
A 1
11.1%
L 1
11.1%
E 1
11.1%
S 1
11.1%
K 1
11.1%
Y 1
11.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 2
28.6%
Ⅲ 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
* 854
99.8%
, 2
 
0.2%
Space Separator
ValueCountFrequency (%)
749
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2709
60.5%
Common 1750
39.1%
Latin 17
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 332
 
12.3%
동 180
 
6.6%
시 171
 
6.3%
강 168
 
6.2%
특 164
 
6.1%
별 164
 
6.1%
구 164
 
6.1%
울 164
 
6.1%
곡 97
 
3.6%
마 73
 
2.7%
Other values (148) 1032
38.1%
Latin
ValueCountFrequency (%)
Ⅱ 4
23.5%
Ⅰ 2
11.8%
W 1
 
5.9%
Ⅲ 1
 
5.9%
B 1
 
5.9%
C 1
 
5.9%
A 1
 
5.9%
b 1
 
5.9%
L 1
 
5.9%
E 1
 
5.9%
Other values (3) 3
17.6%
Common
ValueCountFrequency (%)
* 854
48.8%
749
42.8%
- 145
 
8.3%
, 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2709
60.5%
ASCII 1760
39.3%
Number Forms 7
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 854
48.5%
749
42.6%
- 145
 
8.2%
, 2
 
0.1%
W 1
 
0.1%
B 1
 
0.1%
C 1
 
0.1%
A 1
 
0.1%
b 1
 
0.1%
L 1
 
0.1%
Other values (4) 4
 
0.2%
Hangul
ValueCountFrequency (%)
서 332
 
12.3%
동 180
 
6.6%
시 171
 
6.3%
강 168
 
6.2%
특 164
 
6.1%
별 164
 
6.1%
구 164
 
6.1%
울 164
 
6.1%
곡 97
 
3.6%
마 73
 
2.7%
Other values (148) 1032
38.1%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 2
28.6%
Ⅲ 1
 
14.3%

도로명주소
Text

Distinct145
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T05:26:58.625207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length38.078788
Min length24

Characters and Unicode

Total characters6283
Distinct characters203
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)77.6%

Sample

1st row서울특별시 강서구 공항대로 ***, *층 (염창동, 도레미빌딩)
2nd row서울특별시 강서구 공항대로 **-*, ***호 (공항동, E-SKY 오피스텔)
3rd row서울특별시 강서구 화곡로**나길 **-**, ***호 (화곡동, 효성빌라)
4th row서울특별시 강서구 화곡로 ***, ***호 (화곡동, 동도센티리움)
5th row서울특별시 강서구 공항대로**길 *, *층 (염창동)
ValueCountFrequency (%)
169
14.1%
서울특별시 165
13.8%
강서구 165
13.8%
호 113
 
9.4%
층 69
 
5.8%
마곡동 53
 
4.4%
등촌동 43
 
3.6%
양천로 32
 
2.7%
화곡동 25
 
2.1%
공항대로 25
 
2.1%
Other values (143) 338
28.2%
2024-05-11T05:26:59.676147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1128
18.0%
1032
16.4%
서 355
 
5.7%
동 201
 
3.2%
강 183
 
2.9%
, 180
 
2.9%
시 172
 
2.7%
로 166
 
2.6%
특 165
 
2.6%
별 165
 
2.6%
Other values (193) 2536
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3534
56.2%
Other Punctuation 1309
 
20.8%
Space Separator 1032
 
16.4%
Close Punctuation 165
 
2.6%
Open Punctuation 165
 
2.6%
Dash Punctuation 36
 
0.6%
Uppercase Letter 31
 
0.5%
Letter Number 7
 
0.1%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 355
 
10.0%
동 201
 
5.7%
강 183
 
5.2%
시 172
 
4.9%
로 166
 
4.7%
특 165
 
4.7%
별 165
 
4.7%
구 165
 
4.7%
울 165
 
4.7%
곡 146
 
4.1%
Other values (171) 1651
46.7%
Uppercase Letter
ValueCountFrequency (%)
B 9
29.0%
A 9
29.0%
C 3
 
9.7%
O 2
 
6.5%
K 2
 
6.5%
W 1
 
3.2%
L 1
 
3.2%
E 1
 
3.2%
S 1
 
3.2%
Y 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
* 1128
86.2%
, 180
 
13.8%
& 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 2
28.6%
Ⅲ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
1032
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3534
56.2%
Common 2711
43.1%
Latin 38
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 355
 
10.0%
동 201
 
5.7%
강 183
 
5.2%
시 172
 
4.9%
로 166
 
4.7%
특 165
 
4.7%
별 165
 
4.7%
구 165
 
4.7%
울 165
 
4.7%
곡 146
 
4.1%
Other values (171) 1651
46.7%
Latin
ValueCountFrequency (%)
B 9
23.7%
A 9
23.7%
Ⅱ 4
10.5%
C 3
 
7.9%
O 2
 
5.3%
Ⅰ 2
 
5.3%
K 2
 
5.3%
W 1
 
2.6%
Ⅲ 1
 
2.6%
L 1
 
2.6%
Other values (4) 4
10.5%
Common
ValueCountFrequency (%)
* 1128
41.6%
1032
38.1%
, 180
 
6.6%
) 165
 
6.1%
( 165
 
6.1%
- 36
 
1.3%
~ 4
 
0.1%
& 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3534
56.2%
ASCII 2742
43.6%
Number Forms 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1128
41.1%
1032
37.6%
, 180
 
6.6%
) 165
 
6.0%
( 165
 
6.0%
- 36
 
1.3%
B 9
 
0.3%
A 9
 
0.3%
~ 4
 
0.1%
C 3
 
0.1%
Other values (9) 11
 
0.4%
Hangul
ValueCountFrequency (%)
서 355
 
10.0%
동 201
 
5.7%
강 183
 
5.2%
시 172
 
4.9%
로 166
 
4.7%
특 165
 
4.7%
별 165
 
4.7%
구 165
 
4.7%
울 165
 
4.7%
곡 146
 
4.1%
Other values (171) 1651
46.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 2
28.6%
Ⅲ 1
 
14.3%

도로명우편번호
Real number (ℝ)

Distinct75
Distinct (%)45.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9468.9818
Minimum7505
Maximum157280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T05:27:00.007218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7505
5-th percentile7526.4
Q17563
median7631
Q37788
95-th percentile7806
Maximum157280
Range149775
Interquartile range (IQR)225

Descriptive statistics

Standard deviation16418.781
Coefficient of variation (CV)1.7339542
Kurtosis79.943901
Mean9468.9818
Median Absolute Deviation (MAD)84
Skewness8.9984144
Sum1562382
Variance2.6957638 × 108
MonotonicityNot monotonic
2024-05-11T05:27:00.436384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7788 16
 
9.7%
7573 13
 
7.9%
7802 9
 
5.5%
7631 7
 
4.2%
7540 6
 
3.6%
7803 6
 
3.6%
7548 6
 
3.6%
7563 4
 
2.4%
7801 4
 
2.4%
7806 4
 
2.4%
Other values (65) 90
54.5%
ValueCountFrequency (%)
7505 1
 
0.6%
7521 1
 
0.6%
7522 1
 
0.6%
7523 2
1.2%
7525 1
 
0.6%
7526 3
1.8%
7528 1
 
0.6%
7529 1
 
0.6%
7532 2
1.2%
7538 1
 
0.6%
ValueCountFrequency (%)
157280 1
 
0.6%
157201 1
 
0.6%
7807 4
 
2.4%
7806 4
 
2.4%
7803 6
 
3.6%
7802 9
5.5%
7801 4
 
2.4%
7788 16
9.7%
7786 1
 
0.6%
7785 1
 
0.6%

사업장명
Text

Distinct164
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-05-11T05:27:00.903863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length11.321212
Min length2

Characters and Unicode

Total characters1868
Distinct characters249
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)98.8%

Sample

1st row주식회사 도레미엔터테인먼트
2nd row엠제이엔터테인먼트(MJ ENTERTAINMENT)
3rd rowHF 엔터테인먼트
4th row(주)캐스팅팩토리
5th row크래프트앤준(CRAFT AND JUN)
ValueCountFrequency (%)
주식회사 61
 
21.7%
엔터테인먼트 11
 
3.9%
entertainment 5
 
1.8%
주)에이나인미디어 2
 
0.7%
컴퍼니 2
 
0.7%
주 2
 
0.7%
티엔엔터테인먼트 2
 
0.7%
k 2
 
0.7%
메이크이엔티 1
 
0.4%
주)제니알그룹인코퍼레이션 1
 
0.4%
Other values (192) 192
68.3%
2024-05-11T05:27:01.757625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
6.2%
주 101
 
5.4%
이 74
 
4.0%
엔 72
 
3.9%
트 71
 
3.8%
사 67
 
3.6%
식 66
 
3.5%
터 65
 
3.5%
인 64
 
3.4%
회 62
 
3.3%
Other values (239) 1110
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1407
75.3%
Uppercase Letter 118
 
6.3%
Space Separator 116
 
6.2%
Lowercase Letter 105
 
5.6%
Close Punctuation 57
 
3.1%
Open Punctuation 57
 
3.1%
Other Punctuation 5
 
0.3%
Decimal Number 2
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 101
 
7.2%
이 74
 
5.3%
엔 72
 
5.1%
트 71
 
5.0%
사 67
 
4.8%
식 66
 
4.7%
터 65
 
4.6%
인 64
 
4.5%
회 62
 
4.4%
먼 58
 
4.1%
Other values (189) 707
50.2%
Uppercase Letter
ValueCountFrequency (%)
E 16
13.6%
T 14
11.9%
N 11
 
9.3%
M 10
 
8.5%
A 8
 
6.8%
H 7
 
5.9%
J 6
 
5.1%
S 5
 
4.2%
I 5
 
4.2%
P 5
 
4.2%
Other values (12) 31
26.3%
Lowercase Letter
ValueCountFrequency (%)
n 16
15.2%
e 14
13.3%
t 13
12.4%
r 10
9.5%
o 10
9.5%
a 6
 
5.7%
u 5
 
4.8%
i 5
 
4.8%
m 4
 
3.8%
d 3
 
2.9%
Other values (10) 19
18.1%
Other Punctuation
ValueCountFrequency (%)
. 3
60.0%
' 1
 
20.0%
& 1
 
20.0%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Decimal Number
ValueCountFrequency (%)
7 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1408
75.4%
Common 237
 
12.7%
Latin 223
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 101
 
7.2%
이 74
 
5.3%
엔 72
 
5.1%
트 71
 
5.0%
사 67
 
4.8%
식 66
 
4.7%
터 65
 
4.6%
인 64
 
4.5%
회 62
 
4.4%
먼 58
 
4.1%
Other values (190) 708
50.3%
Latin
ValueCountFrequency (%)
n 16
 
7.2%
E 16
 
7.2%
T 14
 
6.3%
e 14
 
6.3%
t 13
 
5.8%
N 11
 
4.9%
M 10
 
4.5%
r 10
 
4.5%
o 10
 
4.5%
A 8
 
3.6%
Other values (32) 101
45.3%
Common
ValueCountFrequency (%)
116
48.9%
) 57
24.1%
( 57
24.1%
. 3
 
1.3%
7 2
 
0.8%
' 1
 
0.4%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1407
75.3%
ASCII 460
 
24.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
25.2%
) 57
12.4%
( 57
12.4%
n 16
 
3.5%
E 16
 
3.5%
T 14
 
3.0%
e 14
 
3.0%
t 13
 
2.8%
N 11
 
2.4%
M 10
 
2.2%
Other values (39) 136
29.6%
Hangul
ValueCountFrequency (%)
주 101
 
7.2%
이 74
 
5.3%
엔 72
 
5.1%
트 71
 
5.0%
사 67
 
4.8%
식 66
 
4.7%
터 65
 
4.6%
인 64
 
4.5%
회 62
 
4.4%
먼 58
 
4.1%
Other values (189) 707
50.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2015-04-16 15:17:32
Maximum2024-05-02 12:56:56
2024-05-11T05:27:02.311985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:27:02.731552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
U
83 
I
82 

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 (%)
U 83
50.3%
I 82
49.7%

Length

2024-05-11T05:27:03.164595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:27:03.492396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 83
50.3%
i 82
49.7%

데이터갱신일자
Date

Distinct121
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:04:00
2024-05-11T05:27:03.843877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T05:27:04.285175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)72.5%
Missing23
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean186385.1
Minimum183007.22
Maximum189145.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T05:27:04.787569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183007.22
5-th percentile183666.27
Q1185375.87
median186501.11
Q3187381.32
95-th percentile188703.7
Maximum189145.46
Range6138.2358
Interquartile range (IQR)2005.445

Descriptive statistics

Standard deviation1420.3074
Coefficient of variation (CV)0.0076202838
Kurtosis-0.35215326
Mean186385.1
Median Absolute Deviation (MAD)1014.3451
Skewness-0.33994772
Sum26466685
Variance2017273
MonotonicityNot monotonic
2024-05-11T05:27:05.261381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186501.110937132 6
 
3.6%
185144.0 5
 
3.0%
188703.698085939 5
 
3.0%
187999.32555627 3
 
1.8%
187381.316533948 3
 
1.8%
184498.0 3
 
1.8%
187952.560027898 3
 
1.8%
187701.673692397 3
 
1.8%
186317.207037672 3
 
1.8%
187142.520159168 3
 
1.8%
Other values (93) 105
63.6%
(Missing) 23
 
13.9%
ValueCountFrequency (%)
183007.220061564 1
0.6%
183077.104950217 1
0.6%
183233.355705347 1
0.6%
183240.476205201 1
0.6%
183269.701256706 1
0.6%
183364.801646741 1
0.6%
183567.417575573 1
0.6%
183660.874187038 1
0.6%
183768.696418792 1
0.6%
184131.371323249 1
0.6%
ValueCountFrequency (%)
189145.455894355 2
 
1.2%
189027.554806104 1
 
0.6%
189010.481823545 1
 
0.6%
188748.874153488 1
 
0.6%
188703.698085939 5
3.0%
188129.756696846 1
 
0.6%
187999.32555627 3
1.8%
187952.560027898 3
1.8%
187919.411935118 1
 
0.6%
187898.764987277 1
 
0.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct103
Distinct (%)72.5%
Missing23
Missing (%)13.9%
Infinite0
Infinite (%)0.0%
Mean450473.57
Minimum447376.15
Maximum452617.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T05:27:05.713112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447376.15
5-th percentile447844.42
Q1449840.75
median450740.12
Q3451298.74
95-th percentile452000.78
Maximum452617.04
Range5240.8921
Interquartile range (IQR)1457.9916

Descriptive statistics

Standard deviation1167.5031
Coefficient of variation (CV)0.0025917239
Kurtosis0.52395648
Mean450473.57
Median Absolute Deviation (MAD)664.31851
Skewness-0.91434195
Sum63967247
Variance1363063.6
MonotonicityNot monotonic
2024-05-11T05:27:06.170745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
451334.591084256 6
 
3.6%
450938.0 5
 
3.0%
449814.215239402 5
 
3.0%
449920.361168751 3
 
1.8%
450751.226503557 3
 
1.8%
451786.0 3
 
1.8%
450562.020225978 3
 
1.8%
450327.279069351 3
 
1.8%
451462.350090067 3
 
1.8%
450809.366186016 3
 
1.8%
Other values (93) 105
63.6%
(Missing) 23
 
13.9%
ValueCountFrequency (%)
447376.148282319 1
0.6%
447488.865003251 1
0.6%
447528.693200117 1
0.6%
447542.237425203 1
0.6%
447575.32048598 1
0.6%
447835.032408626 1
0.6%
447835.753982915 1
0.6%
447841.752020724 1
0.6%
447895.135699265 1
0.6%
448041.452583243 1
0.6%
ValueCountFrequency (%)
452617.040420089 1
0.6%
452270.865851416 1
0.6%
452190.990405833 1
0.6%
452173.153654734 1
0.6%
452070.495538155 1
0.6%
452056.331542004 1
0.6%
452034.27568352 1
0.6%
452001.548882852 1
0.6%
451986.092621568 1
0.6%
451911.861670188 1
0.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
대중문화예술기획업
99 
<NA>
66 

Length

Max length9
Median length9
Mean length7
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 99
60.0%
<NA> 66
40.0%

Length

2024-05-11T05:27:06.655699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:27:07.246060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 99
60.0%
na 66
40.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
유통관련업
99 
<NA>
66 

Length

Max length5
Median length5
Mean length4.6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 99
60.0%
<NA> 66
40.0%

Length

2024-05-11T05:27:07.820063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:27:08.463157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 99
60.0%
na 66
40.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
151 
0
 
14

Length

Max length4
Median length4
Mean length3.7454545
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> 151
91.5%
0 14
 
8.5%

Length

2024-05-11T05:27:08.918606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:27:09.327151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
91.5%
0 14
 
8.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

제작취급품목내용
Text

MISSING 

Distinct57
Distinct (%)57.6%
Missing66
Missing (%)40.0%
Memory size1.4 KiB
2024-05-11T05:27:09.798854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length26
Mean length10.20202
Min length4

Characters and Unicode

Total characters1010
Distinct characters91
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)47.5%

Sample

1st row방송프로그램제작, 엔터테인먼트 등
2nd row매니저업, 연예인에이전시
3rd row엔터테인먼트
4th row엔터테인먼트 등
5th row엔터테인먼트, 연예인 대리
ValueCountFrequency (%)
엔터테인먼트 20
 
11.6%
매니지먼트 19
 
11.0%
연예매니지먼트 12
 
6.9%
매니저업 7
 
4.0%
모델에이전시 7
 
4.0%
및 6
 
3.5%
제작 6
 
3.5%
연예인 5
 
2.9%
등 5
 
2.9%
에이전시 4
 
2.3%
Other values (63) 82
47.4%
2024-05-11T05:27:10.875171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
 
7.3%
트 68
 
6.7%
먼 66
 
6.5%
, 52
 
5.1%
매 50
 
5.0%
니 50
 
5.0%
연 44
 
4.4%
예 40
 
4.0%
지 39
 
3.9%
인 37
 
3.7%
Other values (81) 490
48.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 878
86.9%
Space Separator 74
 
7.3%
Other Punctuation 52
 
5.1%
Uppercase Letter 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 68
 
7.7%
먼 66
 
7.5%
매 50
 
5.7%
니 50
 
5.7%
연 44
 
5.0%
예 40
 
4.6%
지 39
 
4.4%
인 37
 
4.2%
기 28
 
3.2%
획 26
 
3.0%
Other values (76) 430
49.0%
Uppercase Letter
ValueCountFrequency (%)
D 3
50.0%
V 2
33.3%
C 1
 
16.7%
Space Separator
ValueCountFrequency (%)
74
100.0%
Other Punctuation
ValueCountFrequency (%)
, 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 878
86.9%
Common 126
 
12.5%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 68
 
7.7%
먼 66
 
7.5%
매 50
 
5.7%
니 50
 
5.7%
연 44
 
5.0%
예 40
 
4.6%
지 39
 
4.4%
인 37
 
4.2%
기 28
 
3.2%
획 26
 
3.0%
Other values (76) 430
49.0%
Latin
ValueCountFrequency (%)
D 3
50.0%
V 2
33.3%
C 1
 
16.7%
Common
ValueCountFrequency (%)
74
58.7%
, 52
41.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 878
86.9%
ASCII 132
 
13.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
56.1%
, 52
39.4%
D 3
 
2.3%
V 2
 
1.5%
C 1
 
0.8%
Hangul
ValueCountFrequency (%)
트 68
 
7.7%
먼 66
 
7.5%
매 50
 
5.7%
니 50
 
5.7%
연 44
 
5.0%
예 40
 
4.6%
지 39
 
4.4%
인 37
 
4.2%
기 28
 
3.2%
획 26
 
3.0%
Other values (76) 430
49.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct22
Distinct (%)88.0%
Missing140
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean72.804
Minimum0
Maximum300
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-05-11T05:27:11.274565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.61
median40
Q3110
95-th percentile195.568
Maximum300
Range300
Interquartile range (IQR)103.39

Descriptive statistics

Standard deviation78.924831
Coefficient of variation (CV)1.0840727
Kurtosis1.2427759
Mean72.804
Median Absolute Deviation (MAD)40
Skewness1.2037971
Sum1820.1
Variance6229.1289
MonotonicityNot monotonic
2024-05-11T05:27:11.730621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0.0 4
 
2.4%
105.0 1
 
0.6%
148.0 1
 
0.6%
176.0 1
 
0.6%
110.0 1
 
0.6%
0.52 1
 
0.6%
200.46 1
 
0.6%
59.34 1
 
0.6%
300.0 1
 
0.6%
6.61 1
 
0.6%
Other values (12) 12
 
7.3%
(Missing) 140
84.8%
ValueCountFrequency (%)
0.0 4
2.4%
0.52 1
 
0.6%
1.0 1
 
0.6%
6.61 1
 
0.6%
12.0 1
 
0.6%
13.2 1
 
0.6%
25.0 1
 
0.6%
28.86 1
 
0.6%
35.33 1
 
0.6%
40.0 1
 
0.6%
ValueCountFrequency (%)
300.0 1
0.6%
200.46 1
0.6%
176.0 1
0.6%
157.81 1
0.6%
148.0 1
0.6%
141.0 1
0.6%
110.0 1
0.6%
105.0 1
0.6%
100.0 1
0.6%
84.97 1
0.6%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
151 
0
 
14

Length

Max length4
Median length4
Mean length3.7454545
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> 151
91.5%
0 14
 
8.5%

Length

2024-05-11T05:27:12.179564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:27:12.533510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
91.5%
0 14
 
8.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
151 
0
 
14

Length

Max length4
Median length4
Mean length3.7454545
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> 151
91.5%
0 14
 
8.5%

Length

2024-05-11T05:27:12.934017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:27:13.279225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
91.5%
0 14
 
8.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
151 
0
 
14

Length

Max length4
Median length4
Mean length3.7454545
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> 151
91.5%
0 14
 
8.5%

Length

2024-05-11T05:27:13.662354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:27:14.046111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
91.5%
0 14
 
8.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
151 
0
 
14

Length

Max length4
Median length4
Mean length3.7454545
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> 151
91.5%
0 14
 
8.5%

Length

2024-05-11T05:27:14.432299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:27:14.764010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
91.5%
0 14
 
8.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
151 
0
 
14

Length

Max length4
Median length4
Mean length3.7454545
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> 151
91.5%
0 14
 
8.5%

Length

2024-05-11T05:27:15.126491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:27:15.331131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
91.5%
0 14
 
8.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
151 
0
 
14

Length

Max length4
Median length4
Mean length3.7454545
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> 151
91.5%
0 14
 
8.5%

Length

2024-05-11T05:27:15.547602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:27:15.752240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
91.5%
0 14
 
8.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
<NA>
151 
0
 
14

Length

Max length4
Median length4
Mean length3.7454545
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> 151
91.5%
0 14
 
8.5%

Length

2024-05-11T05:27:16.088517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T05:27:16.385426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 151
91.5%
0 14
 
8.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing165
Missing (%)100.0%
Memory size1.6 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFF324109201400000120141212<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3662-8835<NA><NA>서울특별시 강서구 염창동 ***-**번지 도레미빌딩 *층서울특별시 강서구 공항대로 ***, *층 (염창동, 도레미빌딩)7557주식회사 도레미엔터테인먼트2015-04-16 15:17:32I2018-08-31 23:59:59.0<NA>189145.455894449483.688744대중문화예술기획업유통관련업<NA><NA>방송프로그램제작, 엔터테인먼트 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13150000CDFF32410920150000032015-04-10<NA>3폐업3폐업2022-08-06<NA><NA><NA><NA><NA><NA>서울특별시 강서구 공항동 **-* E-SKY 오피스텔 ***호서울특별시 강서구 공항대로 **-*, ***호 (공항동, E-SKY 오피스텔)7622엠제이엔터테인먼트(MJ ENTERTAINMENT)2023-08-09 14:13:29U2022-12-07 23:01:00.0<NA>183077.10495451010.770545<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23150000CDFF324109201500000420150504<NA>3폐업3폐업20180822<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 **-**번지 효성빌라 ***호서울특별시 강서구 화곡로**나길 **-**, ***호 (화곡동, 효성빌라)7678HF 엔터테인먼트2018-08-23 09:36:34I2018-08-31 23:59:59.0<NA>186422.524974449394.597059대중문화예술기획업유통관련업<NA><NA>매니저업, 연예인에이전시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33150000CDFF324109201500000720150602<NA>1영업/정상13영업중<NA><NA><NA><NA>0236617597<NA><NA>서울특별시 강서구 화곡동 ***-**번지 동도센티리움 ***호서울특별시 강서구 화곡로 ***, ***호 (화곡동, 동도센티리움)7663(주)캐스팅팩토리2015-06-02 09:30:08I2018-08-31 23:59:59.0<NA>186480.475282449665.415631대중문화예술기획업유통관련업<NA><NA>엔터테인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43150000CDFF324109201500000920150608<NA>3폐업3폐업20180720<NA><NA><NA><NA><NA><NA>서울특별시 강서구 염창동 ***-**번지 *층서울특별시 강서구 공항대로**길 *, *층 (염창동)7558크래프트앤준(CRAFT AND JUN)2018-07-24 09:15:55I2018-08-31 23:59:59.0<NA>189010.481824449476.886788대중문화예술기획업유통관련업<NA><NA>엔터테인먼트 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53150000CDFF324109201500001020150611<NA>3폐업3폐업20151109<NA><NA><NA>02-3663-8288<NA><NA>서울특별시 강서구 등촌동 ***-*번지 태진빌딩 지하*층서울특별시 강서구 강서로**가길 **, 지하*층 (등촌동, 태진빌딩)7583주식회사 라온이엠지(Raon EMG)2015-11-16 19:31:15I2018-08-31 23:59:59.0<NA>185817.650196451115.041794대중문화예술기획업유통관련업<NA><NA>엔터테인먼트, 연예인 대리<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63150000CDFF324109201500001120150615<NA>3폐업3폐업20180403<NA><NA><NA><NA><NA><NA>서울특별시 강서구 염창동 ***-**번지 b동 ****호서울특별시 강서구 양천로 *** (염창동, 우림블루나인)7547(주)이큐브미디어2018-04-04 09:07:28I2018-08-31 23:59:59.0<NA>187952.560028450562.020226대중문화예술기획업유통관련업<NA><NA>매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73150000CDFF324109201500001220150618<NA>3폐업3폐업20161203<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ***-**번지 *층서울특별시 강서구 월정로**가길 ** (화곡동)7761대박 엔터테인먼트(db엔터테인먼트)2019-08-05 18:11:44U2019-08-07 02:40:00.0<NA>185486.765884448101.862057대중문화예술기획업유통관련업<NA><NA>매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83150000CDFF32410920150000152015-07-10<NA>3폐업3폐업2023-08-01<NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ***-* 세운빌딩 ***호서울특별시 강서구 강서로*나길 ***-*, ***호 (화곡동, 세운빌딩)7775링크트리2023-08-02 09:07:12U2022-12-08 00:04:00.0<NA>185898.410135447376.148282<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93150000CDFF324109201500001620150722<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6925-5077<NA><NA>서울특별시 강서구 등촌동 ***번지 ***호서울특별시 강서구 양천로 ***, ***호 (등촌동)7551주식회사 행복한배우들2015-07-22 17:39:32I2018-08-31 23:59:59.0<NA>187682.690357450578.892821대중문화예술기획업유통관련업<NA><NA>연예매니지먼트<NA><NA><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
1553150000CDFF32410920230000132023-10-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2662-4345<NA><NA>서울특별시 강서구 공항동 ****-* 한국항공화물청사서울특별시 강서구 하늘길 ***, 한국항공화물청사 ***-*호 (공항동)7505주식회사 예원당2023-10-25 14:25:12I2022-10-30 22:07:00.0<NA>183007.220062450515.642036<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1563150000CDFF32410920230000142021-03-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 ****-** 원신교통사옥서울특별시 강서구 강서로 ***, 원신교통사옥 *층 ***호 (가양동)7521디스웨이 뮤지컬 프로덕션2023-11-08 15:06:30I2022-10-31 23:00:00.0<NA>185971.661667452270.865851<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1573150000CDFF32410920230000152023-11-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 가양동 **-** 토피아빌딩서울특별시 강서구 화곡로 ***, 토피아빌딩 ***-*호 (가양동)7526넉클라우드2023-11-14 08:54:26I2022-10-31 23:06:00.0<NA>187125.882786451038.464053<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1583150000CDFF32410920230000162023-12-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6959-0553<NA><NA>서울특별시 강서구 등촌동 **-* 가양역 데시앙플렉스 지식산업센터서울특별시 강서구 양천로 ***, 가양역 데시앙플렉스 지식산업센터 ***호 (등촌동)7573주식회사 제이엑스디엔터테인먼트2023-12-14 09:03:59I2022-11-01 23:06:00.0<NA>186501.110937451334.591084<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1593150000CDFF32410920230000172023-12-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2959-0053<NA><NA>서울특별시 강서구 등촌동 **-* 가양역 데시앙플렉스 지식산업센터서울특별시 강서구 양천로 ***, 가양역 데시앙플렉스 지식산업센터 ***호 (등촌동)7573주식회사 엔에이케이엔터테인먼트2023-12-14 09:05:08I2022-11-01 23:06:00.0<NA>186501.110937451334.591084<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1603150000CDFF32410920240000012024-01-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 ****-** 경희효자한의원서울특별시 강서구 우장산로 ***, 경희효자한의원 ***호 (화곡동)7650스테이터스(STATUS)2024-01-19 13:48:27I2023-11-30 22:01:00.0<NA>186569.11897450134.767481<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1613150000CDFF32410920240000022015-08-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 ***-*서울특별시 강서구 화곡로**길 **, ***호 (등촌동)7548(주)토탈셋2024-02-26 09:23:34U2023-12-01 22:08:00.0<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>
1623150000CDFF32410920240000032016-12-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 마곡동 ***-* 리더스퀘어마곡서울특별시 강서구 마곡중앙*로 **, 리더스퀘어마곡 A동 ***-A**호 (마곡동)7802(주) 탄탄엔터테인먼트2024-04-09 09:01:42I2023-12-03 23:01:00.0<NA>185127.285385450939.221091<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1633150000CDFF32410920240000042024-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 염창동 ***-**서울특별시 강서구 양천로 ***, 지층 (염창동)7540THE VEAX'S STUDIO(더 백스 스튜디오)2024-04-25 18:21:55I2023-12-03 22:07:00.0<NA>188748.874153449791.075222<NA><NA><NA><NA><NA><NA><NA><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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