Overview

Dataset statistics

Number of variables56
Number of observations137
Missing cells3673
Missing cells (%)47.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory65.6 KiB
Average record size in memory490.0 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
Author송파구
URLhttps://data.seoul.go.kr/dataList/OA-17215/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (57.9%)Imbalance
영업상태명 is highly imbalanced (57.9%)Imbalance
상세영업상태코드 is highly imbalanced (57.9%)Imbalance
상세영업상태명 is highly imbalanced (57.9%)Imbalance
휴업시작일자 is highly imbalanced (92.1%)Imbalance
휴업종료일자 is highly imbalanced (92.1%)Imbalance
인허가취소일자 has 137 (100.0%) missing valuesMissing
폐업일자 has 112 (81.8%) missing valuesMissing
재개업일자 has 137 (100.0%) missing valuesMissing
전화번호 has 106 (77.4%) missing valuesMissing
소재지면적 has 137 (100.0%) missing valuesMissing
소재지우편번호 has 137 (100.0%) missing valuesMissing
업태구분명 has 137 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.5%) missing valuesMissing
좌표정보(Y) has 2 (1.5%) missing valuesMissing
주변환경명 has 137 (100.0%) missing valuesMissing
제작취급품목내용 has 53 (38.7%) missing valuesMissing
시설면적 has 109 (79.6%) missing valuesMissing
건물용도명 has 137 (100.0%) missing valuesMissing
비상계단여부 has 137 (100.0%) missing valuesMissing
비상구여부 has 137 (100.0%) missing valuesMissing
자동환기여부 has 137 (100.0%) missing valuesMissing
청소년실여부 has 137 (100.0%) missing valuesMissing
특수조명여부 has 137 (100.0%) missing valuesMissing
방음시설여부 has 137 (100.0%) missing valuesMissing
비디오재생기명 has 137 (100.0%) missing valuesMissing
조명시설유무 has 137 (100.0%) missing valuesMissing
음향시설여부 has 137 (100.0%) missing valuesMissing
편의시설여부 has 137 (100.0%) missing valuesMissing
소방시설여부 has 137 (100.0%) missing valuesMissing
기존게임업외업종명 has 137 (100.0%) missing valuesMissing
제공게임물명 has 137 (100.0%) missing valuesMissing
공연장형태구분명 has 137 (100.0%) missing valuesMissing
품목명 has 137 (100.0%) missing valuesMissing
최초등록시점 has 137 (100.0%) missing valuesMissing
지역구분명 has 137 (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 21 (15.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:21:44.631350
Analysis finished2024-05-11 06:21:46.447951
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3230000
137 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3230000 137
100.0%

Length

2024-05-11T15:21:46.581331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:46.770949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3230000 137
100.0%

관리번호
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T15:21:47.057797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2740
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

Unique137 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092014000002
2nd rowCDFF3241092015000001
3rd rowCDFF3241092015000006
4th rowCDFF3241092015000007
5th rowCDFF3241092015000008
ValueCountFrequency (%)
cdff3241092014000002 1
 
0.7%
cdff3241092021000001 1
 
0.7%
cdff3241092022000006 1
 
0.7%
cdff3241092022000005 1
 
0.7%
cdff3241092022000004 1
 
0.7%
cdff3241092022000003 1
 
0.7%
cdff3241092022000002 1
 
0.7%
cdff3241092022000001 1
 
0.7%
cdff3241092021000027 1
 
0.7%
cdff3241092021000026 1
 
0.7%
Other values (127) 127
92.7%
2024-05-11T15:21:47.631502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 915
33.4%
2 410
15.0%
1 283
 
10.3%
F 274
 
10.0%
3 170
 
6.2%
9 160
 
5.8%
4 159
 
5.8%
C 137
 
5.0%
D 137
 
5.0%
5 31
 
1.1%
Other values (3) 64
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2192
80.0%
Uppercase Letter 548
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 915
41.7%
2 410
18.7%
1 283
 
12.9%
3 170
 
7.8%
9 160
 
7.3%
4 159
 
7.3%
5 31
 
1.4%
7 23
 
1.0%
6 23
 
1.0%
8 18
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 274
50.0%
C 137
25.0%
D 137
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2192
80.0%
Latin 548
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 915
41.7%
2 410
18.7%
1 283
 
12.9%
3 170
 
7.8%
9 160
 
7.3%
4 159
 
7.3%
5 31
 
1.4%
7 23
 
1.0%
6 23
 
1.0%
8 18
 
0.8%
Latin
ValueCountFrequency (%)
F 274
50.0%
C 137
25.0%
D 137
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 915
33.4%
2 410
15.0%
1 283
 
10.3%
F 274
 
10.0%
3 170
 
6.2%
9 160
 
5.8%
4 159
 
5.8%
C 137
 
5.0%
D 137
 
5.0%
5 31
 
1.1%
Other values (3) 64
 
2.3%

인허가일자
Date

Distinct126
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2014-11-20 00:00:00
Maximum2024-05-07 00:00:00
2024-05-11T15:21:47.871308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:48.144727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
110 
3
16 
5
 
9
4
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
1 110
80.3%
3 16
 
11.7%
5 9
 
6.6%
4 1
 
0.7%
2 1
 
0.7%

Length

2024-05-11T15:21:48.370677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:48.527456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 110
80.3%
3 16
 
11.7%
5 9
 
6.6%
4 1
 
0.7%
2 1
 
0.7%

영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
110 
폐업
16 
제외/삭제/전출
 
9
취소/말소/만료/정지/중지
 
1
휴업
 
1

Length

Max length14
Median length5
Mean length4.8905109
Min length2

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 110
80.3%
폐업 16
 
11.7%
제외/삭제/전출 9
 
6.6%
취소/말소/만료/정지/중지 1
 
0.7%
휴업 1
 
0.7%

Length

2024-05-11T15:21:48.712200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:48.960865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 110
80.3%
폐업 16
 
11.7%
제외/삭제/전출 9
 
6.6%
취소/말소/만료/정지/중지 1
 
0.7%
휴업 1
 
0.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
13
110 
3
16 
15
 
9
25
 
1
2
 
1

Length

Max length2
Median length2
Mean length1.8759124
Min length1

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 110
80.3%
3 16
 
11.7%
15 9
 
6.6%
25 1
 
0.7%
2 1
 
0.7%

Length

2024-05-11T15:21:49.200310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:49.396132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 110
80.3%
3 16
 
11.7%
15 9
 
6.6%
25 1
 
0.7%
2 1
 
0.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업중
110 
폐업
16 
전출
 
9
영업정지
 
1
휴업
 
1

Length

Max length4
Median length3
Mean length2.8175182
Min length2

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 110
80.3%
폐업 16
 
11.7%
전출 9
 
6.6%
영업정지 1
 
0.7%
휴업 1
 
0.7%

Length

2024-05-11T15:21:49.623587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:49.809744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 110
80.3%
폐업 16
 
11.7%
전출 9
 
6.6%
영업정지 1
 
0.7%
휴업 1
 
0.7%

폐업일자
Date

MISSING 

Distinct25
Distinct (%)100.0%
Missing112
Missing (%)81.8%
Memory size1.2 KiB
Minimum2015-09-25 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T15:21:49.971050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:50.147972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
135 
20190715
 
1
20200801
 
1

Length

Max length8
Median length4
Mean length4.0583942
Min length4

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 135
98.5%
20190715 1
 
0.7%
20200801 1
 
0.7%

Length

2024-05-11T15:21:50.420320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:50.622278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 135
98.5%
20190715 1
 
0.7%
20200801 1
 
0.7%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
135 
20190814
 
1
20210731
 
1

Length

Max length8
Median length4
Mean length4.0583942
Min length4

Unique

Unique2 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 135
98.5%
20190814 1
 
0.7%
20210731 1
 
0.7%

Length

2024-05-11T15:21:50.826237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:51.025056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 135
98.5%
20190814 1
 
0.7%
20210731 1
 
0.7%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing106
Missing (%)77.4%
Memory size1.2 KiB
2024-05-11T15:21:51.372003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.677419
Min length2

Characters and Unicode

Total characters331
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 (%)100.0%

Sample

1st row02-416-8955
2nd row02-406-6182
3rd row739-2890
4th row02-715-8808
5th row02-1899-1987
ValueCountFrequency (%)
02-416-8955 1
 
3.0%
5520 1
 
3.0%
0260520401 1
 
3.0%
02-2138-0166 1
 
3.0%
02-424-3693 1
 
3.0%
050-6909-0480 1
 
3.0%
02-6181-4346 1
 
3.0%
027825242 1
 
3.0%
025471445 1
 
3.0%
02-3012-2003 1
 
3.0%
Other values (23) 23
69.7%
2024-05-11T15:21:51.949434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 65
19.6%
2 52
15.7%
- 43
13.0%
4 31
9.4%
8 27
8.2%
1 25
 
7.6%
5 22
 
6.6%
6 18
 
5.4%
3 18
 
5.4%
9 14
 
4.2%
Other values (2) 16
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 286
86.4%
Dash Punctuation 43
 
13.0%
Space Separator 2
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 65
22.7%
2 52
18.2%
4 31
10.8%
8 27
9.4%
1 25
 
8.7%
5 22
 
7.7%
6 18
 
6.3%
3 18
 
6.3%
9 14
 
4.9%
7 14
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 331
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 65
19.6%
2 52
15.7%
- 43
13.0%
4 31
9.4%
8 27
8.2%
1 25
 
7.6%
5 22
 
6.6%
6 18
 
5.4%
3 18
 
5.4%
9 14
 
4.2%
Other values (2) 16
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 331
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 65
19.6%
2 52
15.7%
- 43
13.0%
4 31
9.4%
8 27
8.2%
1 25
 
7.6%
5 22
 
6.6%
6 18
 
5.4%
3 18
 
5.4%
9 14
 
4.2%
Other values (2) 16
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

지번주소
Text

Distinct122
Distinct (%)89.7%
Missing1
Missing (%)0.7%
Memory size1.2 KiB
2024-05-11T15:21:52.463770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length24.911765
Min length16

Characters and Unicode

Total characters3388
Distinct characters170
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

Unique111 ?
Unique (%)81.6%

Sample

1st row서울특별시 송파구 방이동 **-*번지 올림픽파크뷰 ***호
2nd row서울특별시 송파구 문정동 ***-*번지
3rd row서울특별시 송파구 신천동 *-**번지 한국광고문화회관 **층*호
4th row서울특별시 송파구 삼전동 ***-**번지 *층
5th row서울특별시 송파구 오금동 **-**번지 지하*층
ValueCountFrequency (%)
서울특별시 136
20.3%
송파구 136
20.3%
92
13.7%
번지 42
 
6.3%
잠실동 23
 
3.4%
문정동 20
 
3.0%
방이동 19
 
2.8%
석촌동 18
 
2.7%
가락동 14
 
2.1%
삼전동 13
 
1.9%
Other values (102) 157
23.4%
2024-05-11T15:21:53.306530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
607
17.9%
* 548
16.2%
파 165
 
4.9%
송 151
 
4.5%
동 143
 
4.2%
서 138
 
4.1%
시 138
 
4.1%
특 136
 
4.0%
별 136
 
4.0%
구 136
 
4.0%
Other values (160) 1090
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2101
62.0%
Space Separator 607
 
17.9%
Other Punctuation 549
 
16.2%
Dash Punctuation 113
 
3.3%
Uppercase Letter 12
 
0.4%
Decimal Number 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 165
 
7.9%
송 151
 
7.2%
동 143
 
6.8%
서 138
 
6.6%
시 138
 
6.6%
특 136
 
6.5%
별 136
 
6.5%
구 136
 
6.5%
울 136
 
6.5%
지 58
 
2.8%
Other values (143) 764
36.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
16.7%
B 2
16.7%
L 2
16.7%
E 2
16.7%
D 1
8.3%
T 1
8.3%
O 1
8.3%
H 1
8.3%
Decimal Number
ValueCountFrequency (%)
6 2
33.3%
3 1
16.7%
8 1
16.7%
2 1
16.7%
4 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 548
99.8%
? 1
 
0.2%
Space Separator
ValueCountFrequency (%)
607
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2101
62.0%
Common 1275
37.6%
Latin 12
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 165
 
7.9%
송 151
 
7.2%
동 143
 
6.8%
서 138
 
6.6%
시 138
 
6.6%
특 136
 
6.5%
별 136
 
6.5%
구 136
 
6.5%
울 136
 
6.5%
지 58
 
2.8%
Other values (143) 764
36.4%
Common
ValueCountFrequency (%)
607
47.6%
* 548
43.0%
- 113
 
8.9%
6 2
 
0.2%
3 1
 
0.1%
8 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
? 1
 
0.1%
Latin
ValueCountFrequency (%)
C 2
16.7%
B 2
16.7%
L 2
16.7%
E 2
16.7%
D 1
8.3%
T 1
8.3%
O 1
8.3%
H 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2101
62.0%
ASCII 1287
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
607
47.2%
* 548
42.6%
- 113
 
8.8%
C 2
 
0.2%
B 2
 
0.2%
L 2
 
0.2%
E 2
 
0.2%
6 2
 
0.2%
3 1
 
0.1%
8 1
 
0.1%
Other values (7) 7
 
0.5%
Hangul
ValueCountFrequency (%)
파 165
 
7.9%
송 151
 
7.2%
동 143
 
6.8%
서 138
 
6.6%
시 138
 
6.6%
특 136
 
6.5%
별 136
 
6.5%
구 136
 
6.5%
울 136
 
6.5%
지 58
 
2.8%
Other values (143) 764
36.4%

도로명주소
Text

Distinct133
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T15:21:53.817552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length36.890511
Min length23

Characters and Unicode

Total characters5054
Distinct characters197
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)94.9%

Sample

1st row서울특별시 송파구 올림픽로 ***, ***호 (방이동, 올림픽파크뷰)
2nd row서울특별시 송파구 새말로 *** (문정동)
3rd row서울특별시 송파구 올림픽로**길 ***, **층 *호 (신천동, 한국광고문화회관)
4th row서울특별시 송파구 삼학사로 **, *층 (삼전동)
5th row서울특별시 송파구 마천로 ***, 지하*층 (오금동)
ValueCountFrequency (%)
서울특별시 137
 
14.1%
송파구 137
 
14.1%
135
 
13.9%
호 76
 
7.8%
층 44
 
4.5%
잠실동 23
 
2.4%
문정동 20
 
2.1%
석촌동 19
 
2.0%
방이동 19
 
2.0%
가락동 14
 
1.4%
Other values (169) 345
35.6%
2024-05-11T15:21:54.488007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 850
16.8%
832
 
16.5%
파 182
 
3.6%
송 175
 
3.5%
, 174
 
3.4%
동 166
 
3.3%
서 139
 
2.8%
시 139
 
2.8%
로 138
 
2.7%
( 137
 
2.7%
Other values (187) 2122
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2857
56.5%
Other Punctuation 1025
 
20.3%
Space Separator 832
 
16.5%
Open Punctuation 137
 
2.7%
Close Punctuation 137
 
2.7%
Dash Punctuation 30
 
0.6%
Uppercase Letter 23
 
0.5%
Decimal Number 13
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 182
 
6.4%
송 175
 
6.1%
동 166
 
5.8%
서 139
 
4.9%
시 139
 
4.9%
로 138
 
4.8%
특 137
 
4.8%
별 137
 
4.8%
구 137
 
4.8%
울 137
 
4.8%
Other values (164) 1370
48.0%
Uppercase Letter
ValueCountFrequency (%)
B 9
39.1%
C 3
 
13.0%
D 2
 
8.7%
L 2
 
8.7%
E 2
 
8.7%
A 2
 
8.7%
O 1
 
4.3%
T 1
 
4.3%
H 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
6 3
23.1%
1 3
23.1%
0 2
15.4%
9 2
15.4%
4 1
 
7.7%
8 1
 
7.7%
5 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
* 850
82.9%
, 174
 
17.0%
? 1
 
0.1%
Space Separator
ValueCountFrequency (%)
832
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2857
56.5%
Common 2174
43.0%
Latin 23
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 182
 
6.4%
송 175
 
6.1%
동 166
 
5.8%
서 139
 
4.9%
시 139
 
4.9%
로 138
 
4.8%
특 137
 
4.8%
별 137
 
4.8%
구 137
 
4.8%
울 137
 
4.8%
Other values (164) 1370
48.0%
Common
ValueCountFrequency (%)
* 850
39.1%
832
38.3%
, 174
 
8.0%
( 137
 
6.3%
) 137
 
6.3%
- 30
 
1.4%
6 3
 
0.1%
1 3
 
0.1%
0 2
 
0.1%
9 2
 
0.1%
Other values (4) 4
 
0.2%
Latin
ValueCountFrequency (%)
B 9
39.1%
C 3
 
13.0%
D 2
 
8.7%
L 2
 
8.7%
E 2
 
8.7%
A 2
 
8.7%
O 1
 
4.3%
T 1
 
4.3%
H 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2857
56.5%
ASCII 2197
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 850
38.7%
832
37.9%
, 174
 
7.9%
( 137
 
6.2%
) 137
 
6.2%
- 30
 
1.4%
B 9
 
0.4%
6 3
 
0.1%
1 3
 
0.1%
C 3
 
0.1%
Other values (13) 19
 
0.9%
Hangul
ValueCountFrequency (%)
파 182
 
6.4%
송 175
 
6.1%
동 166
 
5.8%
서 139
 
4.9%
시 139
 
4.9%
로 138
 
4.8%
특 137
 
4.8%
별 137
 
4.8%
구 137
 
4.8%
울 137
 
4.8%
Other values (164) 1370
48.0%

도로명우편번호
Real number (ℝ)

Distinct93
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5656.7518
Minimum5501
Maximum5855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:21:54.721682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5510
Q15563
median5621
Q35727
95-th percentile5839.2
Maximum5855
Range354
Interquartile range (IQR)164

Descriptive statistics

Standard deviation110.04282
Coefficient of variation (CV)0.019453359
Kurtosis-1.0768009
Mean5656.7518
Median Absolute Deviation (MAD)74
Skewness0.48605661
Sum774975
Variance12109.423
MonotonicityNot monotonic
2024-05-11T15:21:55.043804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5510 6
 
4.4%
5545 4
 
2.9%
5838 3
 
2.2%
5611 3
 
2.2%
5594 3
 
2.2%
5836 3
 
2.2%
5547 3
 
2.2%
5854 3
 
2.2%
5610 3
 
2.2%
5828 3
 
2.2%
Other values (83) 103
75.2%
ValueCountFrequency (%)
5501 3
2.2%
5502 1
 
0.7%
5510 6
4.4%
5518 1
 
0.7%
5519 1
 
0.7%
5533 1
 
0.7%
5542 1
 
0.7%
5544 1
 
0.7%
5545 4
2.9%
5547 3
2.2%
ValueCountFrequency (%)
5855 1
 
0.7%
5854 3
2.2%
5849 1
 
0.7%
5840 2
1.5%
5839 1
 
0.7%
5838 3
2.2%
5837 1
 
0.7%
5836 3
2.2%
5831 2
1.5%
5829 1
 
0.7%

사업장명
Text

Distinct136
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T15:21:55.529641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length20
Mean length10.875912
Min length2

Characters and Unicode

Total characters1490
Distinct characters239
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

Unique135 ?
Unique (%)98.5%

Sample

1st row주식회사 지브로스컴패니
2nd row주식회사 초이스굿
3rd row(주)와이에스케이파트너스
4th row스카이피플엔터테인먼트
5th row주식회사 씨엔아트코리아
ValueCountFrequency (%)
주식회사 53
 
22.6%
엔터테인먼트 11
 
4.7%
주 5
 
2.1%
에이전시 3
 
1.3%
music 2
 
0.9%
컴퍼니 2
 
0.9%
매니지먼트 2
 
0.9%
티오엠매니지먼트 2
 
0.9%
entertainment 2
 
0.9%
키스톤엔터테인먼트 1
 
0.4%
Other values (151) 151
64.5%
2024-05-11T15:21:56.315411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
 
6.5%
주 79
 
5.3%
트 59
 
4.0%
이 57
 
3.8%
사 55
 
3.7%
회 54
 
3.6%
식 53
 
3.6%
엔 49
 
3.3%
인 47
 
3.2%
먼 43
 
2.9%
Other values (229) 897
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1110
74.5%
Space Separator 97
 
6.5%
Lowercase Letter 96
 
6.4%
Uppercase Letter 92
 
6.2%
Open Punctuation 41
 
2.8%
Close Punctuation 41
 
2.8%
Decimal Number 10
 
0.7%
Other Symbol 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 79
 
7.1%
트 59
 
5.3%
이 57
 
5.1%
사 55
 
5.0%
회 54
 
4.9%
식 53
 
4.8%
엔 49
 
4.4%
인 47
 
4.2%
먼 43
 
3.9%
터 40
 
3.6%
Other values (180) 574
51.7%
Uppercase Letter
ValueCountFrequency (%)
M 9
 
9.8%
A 9
 
9.8%
S 9
 
9.8%
E 8
 
8.7%
O 7
 
7.6%
T 6
 
6.5%
G 5
 
5.4%
N 4
 
4.3%
H 4
 
4.3%
B 4
 
4.3%
Other values (12) 27
29.3%
Lowercase Letter
ValueCountFrequency (%)
s 11
11.5%
e 11
11.5%
n 10
10.4%
t 9
9.4%
r 8
8.3%
i 7
7.3%
o 7
7.3%
a 7
7.3%
l 6
 
6.2%
c 4
 
4.2%
Other values (8) 16
16.7%
Decimal Number
ValueCountFrequency (%)
2 5
50.0%
3 3
30.0%
0 1
 
10.0%
8 1
 
10.0%
Space Separator
ValueCountFrequency (%)
97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1112
74.6%
Common 190
 
12.8%
Latin 188
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 79
 
7.1%
트 59
 
5.3%
이 57
 
5.1%
사 55
 
4.9%
회 54
 
4.9%
식 53
 
4.8%
엔 49
 
4.4%
인 47
 
4.2%
먼 43
 
3.9%
터 40
 
3.6%
Other values (181) 576
51.8%
Latin
ValueCountFrequency (%)
s 11
 
5.9%
e 11
 
5.9%
n 10
 
5.3%
M 9
 
4.8%
A 9
 
4.8%
S 9
 
4.8%
t 9
 
4.8%
r 8
 
4.3%
E 8
 
4.3%
i 7
 
3.7%
Other values (30) 97
51.6%
Common
ValueCountFrequency (%)
97
51.1%
( 41
21.6%
) 41
21.6%
2 5
 
2.6%
3 3
 
1.6%
0 1
 
0.5%
8 1
 
0.5%
? 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1110
74.5%
ASCII 378
 
25.4%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
25.7%
( 41
 
10.8%
) 41
 
10.8%
s 11
 
2.9%
e 11
 
2.9%
n 10
 
2.6%
M 9
 
2.4%
A 9
 
2.4%
S 9
 
2.4%
t 9
 
2.4%
Other values (38) 131
34.7%
Hangul
ValueCountFrequency (%)
주 79
 
7.1%
트 59
 
5.3%
이 57
 
5.1%
사 55
 
5.0%
회 54
 
4.9%
식 53
 
4.8%
엔 49
 
4.4%
인 47
 
4.2%
먼 43
 
3.9%
터 40
 
3.6%
Other values (180) 574
51.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

최종수정일자
Date

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2015-06-09 17:24:17
Maximum2024-05-07 07:27:32
2024-05-11T15:21:56.607185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:56.902172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
78 
U
59 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 78
56.9%
U 59
43.1%

Length

2024-05-11T15:21:57.148835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:57.330087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 78
56.9%
u 59
43.1%

데이터갱신일자
Date

Distinct113
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:09:00
2024-05-11T15:21:57.550796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:21:57.844042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)87.4%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean209567.58
Minimum206985.11
Maximum213050.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:21:58.100851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum206985.11
5-th percentile207192.51
Q1208408.61
median209603.74
Q3210670.43
95-th percentile211910.06
Maximum213050.88
Range6065.7703
Interquartile range (IQR)2261.8204

Descriptive statistics

Standard deviation1495.3844
Coefficient of variation (CV)0.0071355714
Kurtosis-0.85560339
Mean209567.58
Median Absolute Deviation (MAD)1118.1439
Skewness-0.026999518
Sum28291624
Variance2236174.6
MonotonicityNot monotonic
2024-05-11T15:21:58.370915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207270.219021574 3
 
2.2%
210986.460698452 3
 
2.2%
207849.576769863 2
 
1.5%
207254.185070469 2
 
1.5%
209202.451250538 2
 
1.5%
210476.0 2
 
1.5%
209603.739779507 2
 
1.5%
209467.914332992 2
 
1.5%
209540.814362969 2
 
1.5%
207681.285366516 2
 
1.5%
Other values (108) 113
82.5%
ValueCountFrequency (%)
206985.109463517 1
0.7%
207006.591695429 1
0.7%
207008.325963842 1
0.7%
207029.721338468 1
0.7%
207081.468563852 1
0.7%
207131.050701521 1
0.7%
207145.084174969 1
0.7%
207212.830081193 1
0.7%
207222.404796277 1
0.7%
207254.185070469 2
1.5%
ValueCountFrequency (%)
213050.879803312 1
0.7%
212775.796583888 1
0.7%
212499.0 1
0.7%
212324.603761118 1
0.7%
211986.297245596 1
0.7%
211960.489837246 1
0.7%
211913.050794407 1
0.7%
211908.776682936 1
0.7%
211771.92400624 1
0.7%
211717.662210695 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct118
Distinct (%)87.4%
Missing2
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean444573.4
Minimum441725.29
Maximum448190.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:21:59.085716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441725.29
5-th percentile441950.85
Q1444097.31
median444794.99
Q3445308.88
95-th percentile446080.94
Maximum448190.06
Range6464.7653
Interquartile range (IQR)1211.5696

Descriptive statistics

Standard deviation1262.5431
Coefficient of variation (CV)0.002839898
Kurtosis0.59323284
Mean444573.4
Median Absolute Deviation (MAD)610.29405
Skewness-0.33861402
Sum60017409
Variance1594015.2
MonotonicityNot monotonic
2024-05-11T15:21:59.368404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445550.277249649 3
 
2.2%
441725.293491662 3
 
2.2%
445299.913591118 2
 
1.5%
445174.18229007 2
 
1.5%
444413.327599773 2
 
1.5%
442586.0 2
 
1.5%
444998.379923703 2
 
1.5%
444641.669447546 2
 
1.5%
445695.46525298 2
 
1.5%
445006.363640627 2
 
1.5%
Other values (108) 113
82.5%
ValueCountFrequency (%)
441725.293491662 3
2.2%
441730.920486073 1
 
0.7%
441833.16323518 2
1.5%
441944.0 1
 
0.7%
441953.78437551 1
 
0.7%
442053.227933005 1
 
0.7%
442377.0 1
 
0.7%
442481.471208789 1
 
0.7%
442586.0 2
1.5%
442587.0 1
 
0.7%
ValueCountFrequency (%)
448190.058748324 1
0.7%
448128.379013671 1
0.7%
447722.031347121 1
0.7%
446201.867636819 2
1.5%
446156.529775445 1
0.7%
446087.944327019 1
0.7%
446077.94417344 1
0.7%
446061.439207259 1
0.7%
446042.592367722 1
0.7%
445977.157638051 1
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
대중문화예술기획업
84 
<NA>
53 

Length

Max length9
Median length9
Mean length7.0656934
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 84
61.3%
<NA> 53
38.7%

Length

2024-05-11T15:21:59.621336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:21:59.793098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 84
61.3%
na 53
38.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
유통관련업
84 
<NA>
53 

Length

Max length5
Median length5
Mean length4.6131387
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 84
61.3%
<NA> 53
38.7%

Length

2024-05-11T15:22:00.009245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:00.233308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 84
61.3%
na 53
38.7%

총층수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
114 
0
23 

Length

Max length4
Median length4
Mean length3.4963504
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> 114
83.2%
0 23
 
16.8%

Length

2024-05-11T15:22:00.455254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:00.645702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
83.2%
0 23
 
16.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

제작취급품목내용
Text

MISSING 

Distinct58
Distinct (%)69.0%
Missing53
Missing (%)38.7%
Memory size1.2 KiB
2024-05-11T15:22:00.954309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length37
Mean length15.190476
Min length4

Characters and Unicode

Total characters1276
Distinct characters121
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)59.5%

Sample

1st row음원, 음반제작, (가수, 연기자, 아나운서)매니지먼트
2nd row연예기획
3rd row이벤트사업, 국제회의,음악출판,방송프로그램제작,디지털콘텐츠제작
4th row연예인대리, 매니저업, 캐스팅디렉터, 공연알선, 엔터테인먼트, 모델에이전시
5th row공연기획 및 행사기획 대행
ValueCountFrequency (%)
매니지먼트 22
 
9.9%
엔터테인먼트 17
 
7.6%
연예매니지먼트 11
 
4.9%
및 11
 
4.9%
공연기획 8
 
3.6%
음반제작 8
 
3.6%
등 5
 
2.2%
연예인 5
 
2.2%
제작 5
 
2.2%
공연 4
 
1.8%
Other values (95) 127
57.0%
2024-05-11T15:22:01.537300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
139
 
10.9%
, 99
 
7.8%
트 70
 
5.5%
먼 64
 
5.0%
연 55
 
4.3%
매 49
 
3.8%
니 47
 
3.7%
지 44
 
3.4%
기 40
 
3.1%
예 40
 
3.1%
Other values (111) 629
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1033
81.0%
Space Separator 139
 
10.9%
Other Punctuation 102
 
8.0%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 70
 
6.8%
먼 64
 
6.2%
연 55
 
5.3%
매 49
 
4.7%
니 47
 
4.5%
지 44
 
4.3%
기 40
 
3.9%
예 40
 
3.9%
획 36
 
3.5%
인 35
 
3.4%
Other values (106) 553
53.5%
Other Punctuation
ValueCountFrequency (%)
, 99
97.1%
/ 3
 
2.9%
Space Separator
ValueCountFrequency (%)
139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1033
81.0%
Common 243
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 70
 
6.8%
먼 64
 
6.2%
연 55
 
5.3%
매 49
 
4.7%
니 47
 
4.5%
지 44
 
4.3%
기 40
 
3.9%
예 40
 
3.9%
획 36
 
3.5%
인 35
 
3.4%
Other values (106) 553
53.5%
Common
ValueCountFrequency (%)
139
57.2%
, 99
40.7%
/ 3
 
1.2%
) 1
 
0.4%
( 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1033
81.0%
ASCII 243
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
139
57.2%
, 99
40.7%
/ 3
 
1.2%
) 1
 
0.4%
( 1
 
0.4%
Hangul
ValueCountFrequency (%)
트 70
 
6.8%
먼 64
 
6.2%
연 55
 
5.3%
매 49
 
4.7%
니 47
 
4.5%
지 44
 
4.3%
기 40
 
3.9%
예 40
 
3.9%
획 36
 
3.5%
인 35
 
3.4%
Other values (106) 553
53.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)28.6%
Missing109
Missing (%)79.6%
Infinite0
Infinite (%)0.0%
Mean26.645357
Minimum0
Maximum378.16
Zeros21
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T15:22:01.731655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile150.9395
Maximum378.16
Range378.16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation78.980312
Coefficient of variation (CV)2.9641303
Kurtosis15.709867
Mean26.645357
Median Absolute Deviation (MAD)0
Skewness3.8626657
Sum746.07
Variance6237.8896
MonotonicityNot monotonic
2024-05-11T15:22:01.924946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 21
 
15.3%
20.0 1
 
0.7%
22.92 1
 
0.7%
73.57 1
 
0.7%
192.6 1
 
0.7%
378.16 1
 
0.7%
21.2 1
 
0.7%
37.62 1
 
0.7%
(Missing) 109
79.6%
ValueCountFrequency (%)
0.0 21
15.3%
20.0 1
 
0.7%
21.2 1
 
0.7%
22.92 1
 
0.7%
37.62 1
 
0.7%
73.57 1
 
0.7%
192.6 1
 
0.7%
378.16 1
 
0.7%
ValueCountFrequency (%)
378.16 1
 
0.7%
192.6 1
 
0.7%
73.57 1
 
0.7%
37.62 1
 
0.7%
22.92 1
 
0.7%
21.2 1
 
0.7%
20.0 1
 
0.7%
0.0 21
15.3%

지상층수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
114 
0
23 

Length

Max length4
Median length4
Mean length3.4963504
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> 114
83.2%
0 23
 
16.8%

Length

2024-05-11T15:22:02.162105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:02.347133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
83.2%
0 23
 
16.8%

지하층수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
114 
0
23 

Length

Max length4
Median length4
Mean length3.4963504
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> 114
83.2%
0 23
 
16.8%

Length

2024-05-11T15:22:02.562700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:02.744350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
83.2%
0 23
 
16.8%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

통로너비
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
117 
0
20 

Length

Max length4
Median length4
Mean length3.5620438
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> 117
85.4%
0 20
 
14.6%

Length

2024-05-11T15:22:02.951770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:03.139579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
85.4%
0 20
 
14.6%

조명시설조도
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
117 
0
20 

Length

Max length4
Median length4
Mean length3.5620438
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> 117
85.4%
0 20
 
14.6%

Length

2024-05-11T15:22:03.435096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:03.620492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
85.4%
0 20
 
14.6%

노래방실수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
117 
0
20 

Length

Max length4
Median length4
Mean length3.5620438
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> 117
85.4%
0 20
 
14.6%

Length

2024-05-11T15:22:03.812115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:03.997661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
85.4%
0 20
 
14.6%

청소년실수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
117 
0
20 

Length

Max length4
Median length4
Mean length3.5620438
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> 117
85.4%
0 20
 
14.6%

Length

2024-05-11T15:22:04.221027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:04.424239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
85.4%
0 20
 
14.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

총게임기수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
117 
0
20 

Length

Max length4
Median length4
Mean length3.5620438
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> 117
85.4%
0 20
 
14.6%

Length

2024-05-11T15:22:04.628686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:22:04.845915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 117
85.4%
0 20
 
14.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing137
Missing (%)100.0%
Memory size1.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03230000CDFF324109201400000220141120<NA>3폐업3폐업20171121<NA><NA><NA>02-416-8955<NA><NA>서울특별시 송파구 방이동 **-*번지 올림픽파크뷰 ***호서울특별시 송파구 올림픽로 ***, ***호 (방이동, 올림픽파크뷰)5544주식회사 지브로스컴패니2017-11-23 17:56:38I2018-08-31 23:59:59.0<NA>209815.726365446077.944173대중문화예술기획업유통관련업<NA><NA>음원, 음반제작, (가수, 연기자, 아나운서)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>
13230000CDFF324109201500000120150406<NA>3폐업3폐업20170828<NA><NA><NA>02-406-6182<NA><NA>서울특별시 송파구 문정동 ***-*번지서울특별시 송파구 새말로 *** (문정동)5800주식회사 초이스굿2017-08-29 07:05:58I2018-08-31 23:59:59.0<NA>211619.645682442686.000742대중문화예술기획업유통관련업<NA><NA>연예기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23230000CDFF324109201500000620150528<NA>1영업/정상13영업중<NA><NA><NA><NA>739-2890<NA><NA>서울특별시 송파구 신천동 *-**번지 한국광고문화회관 **층*호서울특별시 송파구 올림픽로**길 ***, **층 *호 (신천동, 한국광고문화회관)5510(주)와이에스케이파트너스2020-03-18 09:20:49U2020-03-20 02:40:00.0<NA>208738.593846445977.157638대중문화예술기획업유통관련업<NA><NA>이벤트사업, 국제회의,음악출판,방송프로그램제작,디지털콘텐츠제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33230000CDFF324109201500000720150609<NA>1영업/정상13영업중<NA><NA><NA><NA>02-715-8808<NA><NA>서울특별시 송파구 삼전동 ***-**번지 *층서울특별시 송파구 삼학사로 **, *층 (삼전동)5603스카이피플엔터테인먼트2015-06-09 17:24:17I2018-08-31 23:59:59.0<NA>208485.595841444529.216861대중문화예술기획업유통관련업<NA><NA>연예인대리, 매니저업, 캐스팅디렉터, 공연알선, 엔터테인먼트, 모델에이전시<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43230000CDFF324109201500000820150609<NA>1영업/정상13영업중<NA><NA><NA><NA>02-1899-1987<NA><NA>서울특별시 송파구 오금동 **-**번지 지하*층서울특별시 송파구 마천로 ***, 지하*층 (오금동)5728주식회사 씨엔아트코리아2015-06-09 17:25:30I2018-08-31 23:59:59.0<NA>211913.050794444680.079739대중문화예술기획업유통관련업<NA><NA>공연기획 및 행사기획 대행<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53230000CDFF324109201500001120150619<NA>3폐업3폐업20190820<NA><NA><NA>02-407-4916<NA><NA>서울특별시 송파구 방이동 **-*번지 올림픽선수기자촌아파트 ***동 ***호서울특별시 송파구 양재대로 ****, ***동 ***호 (방이동, 올림픽선수기자촌아파트)5649하얀달엔터테인먼트2019-08-20 17:23:41U2019-08-22 02:40:00.0<NA>211599.408765445631.306834대중문화예술기획업유통관련업<NA><NA>음반, 음원 및 마스터기획, 가수, 연기자 매니지먼트, 음반프로듀싱, 작사, 작곡, 편곡<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63230000CDFF32410920150000122015-07-01<NA>3폐업3폐업2024-03-07<NA><NA><NA><NA><NA><NA>서울특별시 송파구 신천동 **-* 더?스타리버 지하*층서울특별시 송파구 올림픽로**길 **, 지하*층 (신천동, 더?스타리버)5510주식회사 나우이엔티2024-03-07 17:55:36U2023-12-03 00:09:00.0<NA>209160.342515446201.867637<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73230000CDFF324109201500001320150714<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 ***-**번지서울특별시 송파구 가락로**길 *, ***호 (방이동)5644주식회사 토브콤2019-03-28 18:59:01U2019-03-30 02:40:00.0<NA>210406.001199445282.674696대중문화예술기획업유통관련업<NA><NA>엔터테인먼트, 매니지업, 연예인 대리업, 공연기획<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83230000CDFF324109201500001420150714<NA>1영업/정상13영업중<NA><NA><NA><NA>02-541-8838<NA><NA>서울특별시 송파구 송파동 ***-*번지 수정빌딩 *층서울특별시 송파구 오금로 ***, *층 (송파동, 수정빌딩)5663주식회사 디엔터테인먼트파스칼2015-07-14 17:50:50I2018-08-31 23:59:59.0<NA>210169.638923445089.457348대중문화예술기획업유통관련업<NA><NA>연예, 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>
93230000CDFF324109201500001720150723<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 방이동 ***번지서울특별시 송파구 오금로**길 ** (방이동)5645Good Fellas Entertainment2016-03-21 13:06:57I2018-08-31 23:59:59.0<NA>210665.132695445030.340121대중문화예술기획업유통관련업<NA><NA>연예대리, 기록매체출판, 음반및음반녹음제작, 프로듀싱<NA><NA><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
1273230000CDFF32410920230000132023-10-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 **-**서울특별시 송파구 송이로**길 **, 지하*호 (가락동)5700(주)프리스카뮤직2023-10-24 06:53:19I2022-10-30 22:06:00.0<NA>210904.994027444472.056702<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1283230000CDFF32410920230000142023-11-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ** 트리지움서울특별시 송파구 잠실로 **, ***층 ***호 (잠실동, 트리지움)5555씨뎃(SEA THAT)2023-11-03 10:38:01I2022-11-01 00:05:00.0<NA>207849.57677445299.913591<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1293230000CDFF32410920230000152023-12-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 잠실동 ***-* 그레이스빌서울특별시 송파구 석촌호수로**길 **, 비*호 (잠실동, 그레이스빌)5563(주)티오프 엔터테인먼트2023-12-15 07:55:29I2022-11-01 23:07:00.0<NA>207254.18507445174.18229<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1303230000CDFF32410920230000162023-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 ***-**서울특별시 송파구 동남로**길 **, 비***호 (가락동)5828주식회사 붐컴2023-12-22 13:45:01I2022-11-01 22:04:00.0<NA>211026.366236443587.843023<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1313230000CDFF32410920240000012017-09-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 오금동 ** 우송그린아파트서울특별시 송파구 성내천로 **, ***호 (오금동, 우송그린아파트)5723(주) 어바웃커뮤니케이션즈2024-01-05 15:30:15I2023-12-01 00:07:00.0<NA>211960.489837444844.599263<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1323230000CDFF32410920240000022024-01-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 삼전동 **-*서울특별시 송파구 백제고분로**길 **, 지하*층 ***호 (삼전동)5596(주) 알제이엔터테인먼트2024-01-15 13:47:24I2023-11-30 23:08:00.0<NA>207986.566633444254.306318<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1333230000CDFF32410920240000032022-01-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 송파구 가락동 ***-**서울특별시 송파구 송이로**길 **, 디**호 (가락동)5828드로잉엔터테인먼트 주식회사2024-02-22 09:18:20U2023-12-01 22:04:00.0<NA>210957.856207443689.052389<NA><NA><NA><NA><NA><NA><NA><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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