Overview

Dataset statistics

Number of variables56
Number of observations127
Missing cells3571
Missing cells (%)50.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.7 KiB
Average record size in memory489.0 B

Variable types

Categorical17
Text7
DateTime4
Unsupported25
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-17799/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (66.1%)Imbalance
시설면적 is highly imbalanced (73.5%)Imbalance
지상층수 is highly imbalanced (66.1%)Imbalance
지하층수 is highly imbalanced (66.1%)Imbalance
통로너비 is highly imbalanced (66.1%)Imbalance
조명시설조도 is highly imbalanced (66.1%)Imbalance
노래방실수 is highly imbalanced (66.1%)Imbalance
청소년실수 is highly imbalanced (66.1%)Imbalance
총게임기수 is highly imbalanced (66.1%)Imbalance
인허가취소일자 has 127 (100.0%) missing valuesMissing
폐업일자 has 98 (77.2%) missing valuesMissing
휴업시작일자 has 127 (100.0%) missing valuesMissing
휴업종료일자 has 127 (100.0%) missing valuesMissing
재개업일자 has 127 (100.0%) missing valuesMissing
전화번호 has 78 (61.4%) missing valuesMissing
소재지면적 has 127 (100.0%) missing valuesMissing
소재지우편번호 has 110 (86.6%) missing valuesMissing
도로명우편번호 has 35 (27.6%) missing valuesMissing
업태구분명 has 127 (100.0%) missing valuesMissing
주변환경명 has 127 (100.0%) missing valuesMissing
제작취급품목내용 has 75 (59.1%) missing valuesMissing
건물용도명 has 127 (100.0%) missing valuesMissing
비상계단여부 has 127 (100.0%) missing valuesMissing
비상구여부 has 127 (100.0%) missing valuesMissing
자동환기여부 has 127 (100.0%) missing valuesMissing
청소년실여부 has 127 (100.0%) missing valuesMissing
특수조명여부 has 127 (100.0%) missing valuesMissing
방음시설여부 has 127 (100.0%) missing valuesMissing
비디오재생기명 has 127 (100.0%) missing valuesMissing
조명시설유무 has 127 (100.0%) missing valuesMissing
음향시설여부 has 127 (100.0%) missing valuesMissing
편의시설여부 has 127 (100.0%) missing valuesMissing
소방시설여부 has 127 (100.0%) missing valuesMissing
기존게임업외업종명 has 127 (100.0%) missing valuesMissing
제공게임물명 has 127 (100.0%) missing valuesMissing
공연장형태구분명 has 127 (100.0%) missing valuesMissing
품목명 has 127 (100.0%) missing valuesMissing
최초등록시점 has 127 (100.0%) missing valuesMissing
지역구분명 has 127 (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
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2024-04-06 10:09:51.989328
Analysis finished2024-04-06 10:09:53.061941
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
3220000
127 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3220000
2nd row3220000
3rd row3220000
4th row3220000
5th row3220000

Common Values

ValueCountFrequency (%)
3220000 127
100.0%

Length

2024-04-06T19:09:53.182668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:53.349294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 127
100.0%

관리번호
Text

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T19:09:53.681248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2540
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

Unique127 ?
Unique (%)100.0%

Sample

1st rowCDFF3241101998000001
2nd rowCDFF3241101999000001
3rd rowCDFF3241101999000002
4th rowCDFF3241102002000001
5th rowCDFF3241102004000001
ValueCountFrequency (%)
cdff3241101998000001 1
 
0.8%
cdff3241102021000010 1
 
0.8%
cdff3241102021000006 1
 
0.8%
cdff3241102021000005 1
 
0.8%
cdff3241102021000004 1
 
0.8%
cdff3241102021000003 1
 
0.8%
cdff3241102021000002 1
 
0.8%
cdff3241102020000008 1
 
0.8%
cdff3241102020000006 1
 
0.8%
cdff3241102020000005 1
 
0.8%
Other values (117) 117
92.1%
2024-04-06T19:09:54.311842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 918
36.1%
1 357
 
14.1%
2 334
 
13.1%
F 254
 
10.0%
3 161
 
6.3%
4 153
 
6.0%
C 127
 
5.0%
D 127
 
5.0%
8 27
 
1.1%
6 23
 
0.9%
Other values (3) 59
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2032
80.0%
Uppercase Letter 508
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 918
45.2%
1 357
 
17.6%
2 334
 
16.4%
3 161
 
7.9%
4 153
 
7.5%
8 27
 
1.3%
6 23
 
1.1%
9 22
 
1.1%
5 20
 
1.0%
7 17
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 254
50.0%
C 127
25.0%
D 127
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2032
80.0%
Latin 508
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 918
45.2%
1 357
 
17.6%
2 334
 
16.4%
3 161
 
7.9%
4 153
 
7.5%
8 27
 
1.3%
6 23
 
1.1%
9 22
 
1.1%
5 20
 
1.0%
7 17
 
0.8%
Latin
ValueCountFrequency (%)
F 254
50.0%
C 127
25.0%
D 127
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 918
36.1%
1 357
 
14.1%
2 334
 
13.1%
F 254
 
10.0%
3 161
 
6.3%
4 153
 
6.0%
C 127
 
5.0%
D 127
 
5.0%
8 27
 
1.1%
6 23
 
0.9%
Other values (3) 59
 
2.3%

인허가일자
Date

Distinct120
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1998-09-29 00:00:00
Maximum2024-03-25 00:00:00
2024-04-06T19:09:54.635209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:09:54.951686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
1
97 
3
26 
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 97
76.4%
3 26
 
20.5%
5 4
 
3.1%

Length

2024-04-06T19:09:55.264467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:55.516358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 97
76.4%
3 26
 
20.5%
5 4
 
3.1%

영업상태명
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업/정상
97 
폐업
26 
제외/삭제/전출
 
4

Length

Max length8
Median length5
Mean length4.480315
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 97
76.4%
폐업 26
 
20.5%
제외/삭제/전출 4
 
3.1%

Length

2024-04-06T19:09:55.689285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:55.859076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 97
76.4%
폐업 26
 
20.5%
제외/삭제/전출 4
 
3.1%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
13
97 
3
26 
15
 
4

Length

Max length2
Median length2
Mean length1.7952756
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 97
76.4%
3 26
 
20.5%
15 4
 
3.1%

Length

2024-04-06T19:09:56.070606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:56.245466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 97
76.4%
3 26
 
20.5%
15 4
 
3.1%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
영업중
97 
폐업
26 
전출
 
4

Length

Max length3
Median length3
Mean length2.7637795
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 97
76.4%
폐업 26
 
20.5%
전출 4
 
3.1%

Length

2024-04-06T19:09:56.431911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:09:56.596229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 97
76.4%
폐업 26
 
20.5%
전출 4
 
3.1%

폐업일자
Date

MISSING 

Distinct29
Distinct (%)100.0%
Missing98
Missing (%)77.2%
Memory size1.1 KiB
Minimum2008-01-08 00:00:00
Maximum2024-04-03 00:00:00
2024-04-06T19:09:56.757732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:09:56.969502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

전화번호
Text

MISSING 

Distinct46
Distinct (%)93.9%
Missing78
Missing (%)61.4%
Memory size1.1 KiB
2024-04-06T19:09:57.313597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.020408
Min length8

Characters and Unicode

Total characters540
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)87.8%

Sample

1st row3467-9400
2nd row02-2106-2000
3rd row543-1671
4th row546-4433
5th row02-3450-5433
ValueCountFrequency (%)
02-562-7188 2
 
4.1%
02-3450-5433 2
 
4.1%
02-2105-1700 2
 
4.1%
0260812838 1
 
2.0%
02-517-0980 1
 
2.0%
070-4353-2670 1
 
2.0%
02-3015-0547 1
 
2.0%
02-3465-7640 1
 
2.0%
02-556-7322 1
 
2.0%
070-8119-5079 1
 
2.0%
Other values (36) 36
73.5%
2024-04-06T19:09:57.918806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 101
18.7%
- 84
15.6%
2 65
12.0%
5 56
10.4%
4 44
8.1%
8 38
 
7.0%
1 37
 
6.9%
3 34
 
6.3%
7 33
 
6.1%
6 32
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 456
84.4%
Dash Punctuation 84
 
15.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 101
22.1%
2 65
14.3%
5 56
12.3%
4 44
9.6%
8 38
 
8.3%
1 37
 
8.1%
3 34
 
7.5%
7 33
 
7.2%
6 32
 
7.0%
9 16
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 540
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 101
18.7%
- 84
15.6%
2 65
12.0%
5 56
10.4%
4 44
8.1%
8 38
 
7.0%
1 37
 
6.9%
3 34
 
6.3%
7 33
 
6.1%
6 32
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 101
18.7%
- 84
15.6%
2 65
12.0%
5 56
10.4%
4 44
8.1%
8 38
 
7.0%
1 37
 
6.9%
3 34
 
6.3%
7 33
 
6.1%
6 32
 
5.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

소재지우편번호
Text

MISSING 

Distinct15
Distinct (%)88.2%
Missing110
Missing (%)86.6%
Memory size1.1 KiB
2024-04-06T19:09:58.188728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0588235
Min length6

Characters and Unicode

Total characters103
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)82.4%

Sample

1st row135833
2nd row135517
3rd row135957
4th row135815
5th row135953
ValueCountFrequency (%)
135517 3
17.6%
135833 1
 
5.9%
135957 1
 
5.9%
135815 1
 
5.9%
135953 1
 
5.9%
135954 1
 
5.9%
135766 1
 
5.9%
135840 1
 
5.9%
135502 1
 
5.9%
135965 1
 
5.9%
Other values (5) 5
29.4%
2024-04-06T19:09:58.621714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 26
25.2%
1 23
22.3%
3 21
20.4%
8 8
 
7.8%
9 6
 
5.8%
7 5
 
4.9%
6 4
 
3.9%
0 4
 
3.9%
2 3
 
2.9%
4 2
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 102
99.0%
Dash Punctuation 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 26
25.5%
1 23
22.5%
3 21
20.6%
8 8
 
7.8%
9 6
 
5.9%
7 5
 
4.9%
6 4
 
3.9%
0 4
 
3.9%
2 3
 
2.9%
4 2
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 103
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 26
25.2%
1 23
22.3%
3 21
20.4%
8 8
 
7.8%
9 6
 
5.8%
7 5
 
4.9%
6 4
 
3.9%
0 4
 
3.9%
2 3
 
2.9%
4 2
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 103
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 26
25.2%
1 23
22.3%
3 21
20.4%
8 8
 
7.8%
9 6
 
5.8%
7 5
 
4.9%
6 4
 
3.9%
0 4
 
3.9%
2 3
 
2.9%
4 2
 
1.9%

지번주소
Text

Distinct110
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T19:09:59.016937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length26.07874
Min length17

Characters and Unicode

Total characters3312
Distinct characters159
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)77.2%

Sample

1st row서울특별시 강남구 역삼동 ***-**번지 남창빌딩
2nd row서울특별시 강남구 논현동 ***-**번지 진영빌딩 *층
3rd row서울특별시 강남구 논현동 ***-**번지 에이앤에이스포츠빌딩 *층
4th row서울특별시 강남구 청담동 **-**번지 동양빌딩 *층
5th row서울특별시 강남구 청담동 ***-*번지 *층
ValueCountFrequency (%)
서울특별시 127
20.2%
강남구 127
20.2%
번지 72
11.4%
52
8.3%
역삼동 33
 
5.2%
논현동 31
 
4.9%
층 27
 
4.3%
삼성동 16
 
2.5%
신사동 15
 
2.4%
호 15
 
2.4%
Other values (77) 114
18.1%
2024-04-06T19:09:59.835073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 625
18.9%
582
17.6%
동 137
 
4.1%
남 129
 
3.9%
시 128
 
3.9%
강 128
 
3.9%
구 128
 
3.9%
서 127
 
3.8%
특 127
 
3.8%
별 127
 
3.8%
Other values (149) 1074
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1933
58.4%
Other Punctuation 631
 
19.1%
Space Separator 582
 
17.6%
Dash Punctuation 120
 
3.6%
Uppercase Letter 28
 
0.8%
Decimal Number 13
 
0.4%
Lowercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 137
 
7.1%
남 129
 
6.7%
시 128
 
6.6%
강 128
 
6.6%
구 128
 
6.6%
서 127
 
6.6%
특 127
 
6.6%
별 127
 
6.6%
울 127
 
6.6%
지 78
 
4.0%
Other values (116) 697
36.1%
Uppercase Letter
ValueCountFrequency (%)
N 6
21.4%
E 4
14.3%
T 3
10.7%
S 2
 
7.1%
C 2
 
7.1%
O 1
 
3.6%
L 1
 
3.6%
R 1
 
3.6%
A 1
 
3.6%
I 1
 
3.6%
Other values (6) 6
21.4%
Decimal Number
ValueCountFrequency (%)
1 3
23.1%
6 2
15.4%
0 2
15.4%
9 2
15.4%
5 1
 
7.7%
2 1
 
7.7%
3 1
 
7.7%
8 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
40.0%
a 1
20.0%
o 1
20.0%
k 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 625
99.0%
, 5
 
0.8%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
582
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1933
58.4%
Common 1346
40.6%
Latin 33
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 137
 
7.1%
남 129
 
6.7%
시 128
 
6.6%
강 128
 
6.6%
구 128
 
6.6%
서 127
 
6.6%
특 127
 
6.6%
별 127
 
6.6%
울 127
 
6.6%
지 78
 
4.0%
Other values (116) 697
36.1%
Latin
ValueCountFrequency (%)
N 6
18.2%
E 4
 
12.1%
T 3
 
9.1%
c 2
 
6.1%
S 2
 
6.1%
C 2
 
6.1%
O 1
 
3.0%
L 1
 
3.0%
R 1
 
3.0%
A 1
 
3.0%
Other values (10) 10
30.3%
Common
ValueCountFrequency (%)
* 625
46.4%
582
43.2%
- 120
 
8.9%
, 5
 
0.4%
1 3
 
0.2%
6 2
 
0.1%
0 2
 
0.1%
9 2
 
0.1%
5 1
 
0.1%
/ 1
 
0.1%
Other values (3) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1933
58.4%
ASCII 1379
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 625
45.3%
582
42.2%
- 120
 
8.7%
N 6
 
0.4%
, 5
 
0.4%
E 4
 
0.3%
T 3
 
0.2%
1 3
 
0.2%
c 2
 
0.1%
S 2
 
0.1%
Other values (23) 27
 
2.0%
Hangul
ValueCountFrequency (%)
동 137
 
7.1%
남 129
 
6.7%
시 128
 
6.6%
강 128
 
6.6%
구 128
 
6.6%
서 127
 
6.6%
특 127
 
6.6%
별 127
 
6.6%
울 127
 
6.6%
지 78
 
4.0%
Other values (116) 697
36.1%

도로명주소
Text

Distinct117
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T19:10:00.335481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length40
Mean length33.244094
Min length23

Characters and Unicode

Total characters4222
Distinct characters180
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)84.3%

Sample

1st row서울특별시 강남구 역삼로 *** (역삼동, 남창빌딩)
2nd row서울특별시 강남구 선릉로 *** (논현동,진영빌딩 *층)
3rd row서울특별시 강남구 논현로 *** (논현동,에이앤에이스포츠빌딩 *층)
4th row서울특별시 강남구 압구정로**길 ** (청담동,동양빌딩 *층)
5th row서울특별시 강남구 도산대로**길 ** (청담동,*층)
ValueCountFrequency (%)
서울특별시 127
16.1%
강남구 127
16.1%
124
15.8%
층 66
 
8.4%
역삼동 28
 
3.6%
호 27
 
3.4%
논현동 23
 
2.9%
삼성동 14
 
1.8%
신사동 12
 
1.5%
논현로***길 11
 
1.4%
Other values (126) 228
29.0%
2024-04-06T19:10:01.093016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
694
 
16.4%
* 674
 
16.0%
동 146
 
3.5%
남 138
 
3.3%
강 137
 
3.2%
, 131
 
3.1%
구 131
 
3.1%
) 128
 
3.0%
( 128
 
3.0%
로 127
 
3.0%
Other values (170) 1788
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2392
56.7%
Other Punctuation 806
 
19.1%
Space Separator 694
 
16.4%
Close Punctuation 128
 
3.0%
Open Punctuation 128
 
3.0%
Uppercase Letter 38
 
0.9%
Decimal Number 20
 
0.5%
Dash Punctuation 13
 
0.3%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 146
 
6.1%
남 138
 
5.8%
강 137
 
5.7%
구 131
 
5.5%
로 127
 
5.3%
서 127
 
5.3%
울 127
 
5.3%
시 127
 
5.3%
별 127
 
5.3%
특 127
 
5.3%
Other values (136) 1078
45.1%
Uppercase Letter
ValueCountFrequency (%)
N 6
15.8%
B 5
13.2%
E 4
10.5%
M 3
7.9%
A 3
7.9%
T 3
7.9%
C 2
 
5.3%
I 2
 
5.3%
S 2
 
5.3%
U 1
 
2.6%
Other values (7) 7
18.4%
Decimal Number
ValueCountFrequency (%)
4 3
15.0%
5 3
15.0%
0 3
15.0%
3 3
15.0%
1 2
10.0%
6 2
10.0%
9 2
10.0%
2 1
 
5.0%
8 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
* 674
83.6%
, 131
 
16.3%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
694
100.0%
Close Punctuation
ValueCountFrequency (%)
) 128
100.0%
Open Punctuation
ValueCountFrequency (%)
( 128
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2392
56.7%
Common 1792
42.4%
Latin 38
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 146
 
6.1%
남 138
 
5.8%
강 137
 
5.7%
구 131
 
5.5%
로 127
 
5.3%
서 127
 
5.3%
울 127
 
5.3%
시 127
 
5.3%
별 127
 
5.3%
특 127
 
5.3%
Other values (136) 1078
45.1%
Common
ValueCountFrequency (%)
694
38.7%
* 674
37.6%
, 131
 
7.3%
) 128
 
7.1%
( 128
 
7.1%
- 13
 
0.7%
4 3
 
0.2%
5 3
 
0.2%
~ 3
 
0.2%
0 3
 
0.2%
Other values (7) 12
 
0.7%
Latin
ValueCountFrequency (%)
N 6
15.8%
B 5
13.2%
E 4
10.5%
M 3
7.9%
A 3
7.9%
T 3
7.9%
C 2
 
5.3%
I 2
 
5.3%
S 2
 
5.3%
U 1
 
2.6%
Other values (7) 7
18.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2392
56.7%
ASCII 1830
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
694
37.9%
* 674
36.8%
, 131
 
7.2%
) 128
 
7.0%
( 128
 
7.0%
- 13
 
0.7%
N 6
 
0.3%
B 5
 
0.3%
E 4
 
0.2%
4 3
 
0.2%
Other values (24) 44
 
2.4%
Hangul
ValueCountFrequency (%)
동 146
 
6.1%
남 138
 
5.8%
강 137
 
5.7%
구 131
 
5.5%
로 127
 
5.3%
서 127
 
5.3%
울 127
 
5.3%
시 127
 
5.3%
별 127
 
5.3%
특 127
 
5.3%
Other values (136) 1078
45.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)79.3%
Missing35
Missing (%)27.6%
Infinite0
Infinite (%)0.0%
Mean8939.9565
Minimum6012
Maximum135925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T19:10:01.396806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6012
5-th percentile6018
Q16052
median6134.5
Q36194
95-th percentile6255.7
Maximum135925
Range129913
Interquartile range (IQR)142

Descriptive statistics

Standard deviation18970.476
Coefficient of variation (CV)2.1219875
Kurtosis43.410879
Mean8939.9565
Median Absolute Deviation (MAD)77
Skewness6.6682874
Sum822476
Variance3.5987897 × 108
MonotonicityNot monotonic
2024-04-06T19:10:01.665857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6147 2
 
1.6%
6018 2
 
1.6%
6015 2
 
1.6%
6103 2
 
1.6%
6221 2
 
1.6%
6227 2
 
1.6%
6025 2
 
1.6%
6178 2
 
1.6%
6232 2
 
1.6%
6107 2
 
1.6%
Other values (63) 72
56.7%
(Missing) 35
27.6%
ValueCountFrequency (%)
6012 1
0.8%
6015 2
1.6%
6017 1
0.8%
6018 2
1.6%
6019 1
0.8%
6024 1
0.8%
6025 2
1.6%
6026 1
0.8%
6036 1
0.8%
6037 2
1.6%
ValueCountFrequency (%)
135925 1
0.8%
135080 1
0.8%
6307 2
1.6%
6259 1
0.8%
6253 1
0.8%
6249 1
0.8%
6245 1
0.8%
6243 1
0.8%
6240 1
0.8%
6237 1
0.8%

사업장명
Text

Distinct124
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-04-06T19:10:02.070847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length15
Mean length10.015748
Min length3

Characters and Unicode

Total characters1272
Distinct characters224
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

Unique121 ?
Unique (%)95.3%

Sample

1st row한조물산(주)
2nd row이엠아이뮤직코리아(주)
3rd row(주)유니버설 뮤직
4th row(주)씨에스브라더스
5th row(주)피카도르엔터테인먼트
ValueCountFrequency (%)
주식회사 30
 
17.4%
유한회사 4
 
2.3%
주)뮤직컴퍼스 2
 
1.2%
주)더라임라이트뮤직컨설팅 2
 
1.2%
팬딩 2
 
1.2%
엔터테인먼트 2
 
1.2%
주)삼쩜일사 1
 
0.6%
주)바인엔터테인먼트 1
 
0.6%
우쥬록스 1
 
0.6%
주)새라온이앤티 1
 
0.6%
Other values (126) 126
73.3%
2024-04-06T19:10:02.679815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 106
 
8.3%
( 77
 
6.1%
) 77
 
6.1%
이 50
 
3.9%
45
 
3.5%
스 42
 
3.3%
사 41
 
3.2%
회 35
 
2.8%
트 33
 
2.6%
인 33
 
2.6%
Other values (214) 733
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1020
80.2%
Open Punctuation 77
 
6.1%
Close Punctuation 77
 
6.1%
Space Separator 45
 
3.5%
Lowercase Letter 26
 
2.0%
Uppercase Letter 21
 
1.7%
Decimal Number 5
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 106
 
10.4%
이 50
 
4.9%
스 42
 
4.1%
사 41
 
4.0%
회 35
 
3.4%
트 33
 
3.2%
인 33
 
3.2%
식 31
 
3.0%
엔 29
 
2.8%
테 27
 
2.6%
Other values (178) 593
58.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
15.4%
o 4
15.4%
i 2
7.7%
s 2
7.7%
c 2
7.7%
n 2
7.7%
u 2
7.7%
v 2
7.7%
f 1
 
3.8%
d 1
 
3.8%
Other values (4) 4
15.4%
Uppercase Letter
ValueCountFrequency (%)
C 3
14.3%
M 3
14.3%
U 3
14.3%
K 2
9.5%
S 2
9.5%
H 1
 
4.8%
D 1
 
4.8%
E 1
 
4.8%
R 1
 
4.8%
T 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
8 1
20.0%
7 1
20.0%
3 1
20.0%
1 1
20.0%
9 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 77
100.0%
Close Punctuation
ValueCountFrequency (%)
) 77
100.0%
Space Separator
ValueCountFrequency (%)
45
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1020
80.2%
Common 205
 
16.1%
Latin 47
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 106
 
10.4%
이 50
 
4.9%
스 42
 
4.1%
사 41
 
4.0%
회 35
 
3.4%
트 33
 
3.2%
인 33
 
3.2%
식 31
 
3.0%
엔 29
 
2.8%
테 27
 
2.6%
Other values (178) 593
58.1%
Latin
ValueCountFrequency (%)
e 4
 
8.5%
o 4
 
8.5%
C 3
 
6.4%
M 3
 
6.4%
U 3
 
6.4%
i 2
 
4.3%
s 2
 
4.3%
K 2
 
4.3%
c 2
 
4.3%
n 2
 
4.3%
Other values (17) 20
42.6%
Common
ValueCountFrequency (%)
( 77
37.6%
) 77
37.6%
45
22.0%
8 1
 
0.5%
7 1
 
0.5%
3 1
 
0.5%
1 1
 
0.5%
9 1
 
0.5%
& 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1020
80.2%
ASCII 252
 
19.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 106
 
10.4%
이 50
 
4.9%
스 42
 
4.1%
사 41
 
4.0%
회 35
 
3.4%
트 33
 
3.2%
인 33
 
3.2%
식 31
 
3.0%
엔 29
 
2.8%
테 27
 
2.6%
Other values (178) 593
58.1%
ASCII
ValueCountFrequency (%)
( 77
30.6%
) 77
30.6%
45
17.9%
e 4
 
1.6%
o 4
 
1.6%
C 3
 
1.2%
M 3
 
1.2%
U 3
 
1.2%
i 2
 
0.8%
s 2
 
0.8%
Other values (26) 32
12.7%

최종수정일자
Date

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2006-09-21 13:46:02
Maximum2024-04-03 15:05:39
2024-04-06T19:10:03.193784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:10:03.415381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
I
95 
U
31 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
I 95
74.8%
U 31
 
24.4%
D 1
 
0.8%

Length

2024-04-06T19:10:03.597955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:03.782207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 95
74.8%
u 31
 
24.4%
d 1
 
0.8%

데이터갱신일자
Date

Distinct61
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-04-06T19:10:04.014079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:10:04.300867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

좌표정보(X)
Real number (ℝ)

Distinct115
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203599.51
Minimum201750.93
Maximum205884.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T19:10:04.620993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201750.93
5-th percentile202132.78
Q1202809.57
median203588.05
Q3204076.01
95-th percentile205572.52
Maximum205884.1
Range4133.1635
Interquartile range (IQR)1266.4395

Descriptive statistics

Standard deviation1009.8552
Coefficient of variation (CV)0.0049600082
Kurtosis-0.37891104
Mean203599.51
Median Absolute Deviation (MAD)677.93932
Skewness0.39480142
Sum25857138
Variance1019807.6
MonotonicityNot monotonic
2024-04-06T19:10:04.862130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204979.055998352 2
 
1.6%
203075.810741603 2
 
1.6%
203496.39 2
 
1.6%
203607.068430001 2
 
1.6%
203588.494126019 2
 
1.6%
204037.439263382 2
 
1.6%
204674.280067241 2
 
1.6%
203808.126310759 2
 
1.6%
205079.418138107 2
 
1.6%
205314.159889285 2
 
1.6%
Other values (105) 107
84.3%
ValueCountFrequency (%)
201750.935 2
1.6%
201753.375869612 1
0.8%
201951.810230898 1
0.8%
202047.422040409 1
0.8%
202072.176572517 1
0.8%
202124.262977683 1
0.8%
202152.6491897 1
0.8%
202174.746322434 1
0.8%
202181.620656972 1
0.8%
202196.546252492 1
0.8%
ValueCountFrequency (%)
205884.098501665 1
0.8%
205834.057580829 1
0.8%
205808.405306351 1
0.8%
205788.064365562 1
0.8%
205742.271323606 1
0.8%
205629.099290526 1
0.8%
205577.531086813 1
0.8%
205560.843453939 1
0.8%
205314.159889285 2
1.6%
205291.486713089 1
0.8%

좌표정보(Y)
Real number (ℝ)

Distinct115
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445307.48
Minimum441205.72
Maximum447257.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-04-06T19:10:05.078119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441205.72
5-th percentile443104.17
Q1444609.42
median445408.39
Q3446244.08
95-th percentile446972.64
Maximum447257.24
Range6051.5193
Interquartile range (IQR)1634.6603

Descriptive statistics

Standard deviation1242.1311
Coefficient of variation (CV)0.0027893784
Kurtosis0.7780872
Mean445307.48
Median Absolute Deviation (MAD)831.87522
Skewness-0.82054099
Sum56554050
Variance1542889.7
MonotonicityNot monotonic
2024-04-06T19:10:05.367664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446545.97544971 2
 
1.6%
445428.961000462 2
 
1.6%
445019.365 2
 
1.6%
445315.578728921 2
 
1.6%
444887.172681826 2
 
1.6%
441806.241681105 2
 
1.6%
444735.596578398 2
 
1.6%
445512.704269021 2
 
1.6%
444869.834721154 2
 
1.6%
445204.709309676 2
 
1.6%
Other values (105) 107
84.3%
ValueCountFrequency (%)
441205.716346342 1
0.8%
441806.241681105 2
1.6%
442050.172147888 1
0.8%
442443.252600854 1
0.8%
442568.383659654 1
0.8%
443095.281905418 1
0.8%
443124.904241878 1
0.8%
443496.691238029 1
0.8%
443676.30612293 1
0.8%
443697.332835811 1
0.8%
ValueCountFrequency (%)
447257.235661158 1
0.8%
447202.977976418 1
0.8%
447103.404977167 1
0.8%
447066.772854997 1
0.8%
447052.186215665 1
0.8%
447004.189243058 1
0.8%
446976.719216147 1
0.8%
446963.131878324 1
0.8%
446953.273987688 1
0.8%
446921.053409007 1
0.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
음반.음악영상물배급업
84 
<NA>
43 

Length

Max length11
Median length11
Mean length8.6299213
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물배급업
2nd row음반.음악영상물배급업
3rd row음반.음악영상물배급업
4th row음반.음악영상물배급업
5th row음반.음악영상물배급업

Common Values

ValueCountFrequency (%)
음반.음악영상물배급업 84
66.1%
<NA> 43
33.9%

Length

2024-04-06T19:10:05.626290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:05.847474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물배급업 84
66.1%
na 43
33.9%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
유통관련업
84 
<NA>
43 

Length

Max length5
Median length5
Mean length4.6614173
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 84
66.1%
<NA> 43
33.9%

Length

2024-04-06T19:10:06.076476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:06.255061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 84
66.1%
na 43
33.9%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
119 
0
 
8

Length

Max length4
Median length4
Mean length3.8110236
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> 119
93.7%
0 8
 
6.3%

Length

2024-04-06T19:10:06.458700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:06.633276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
93.7%
0 8
 
6.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

제작취급품목내용
Text

MISSING 

Distinct31
Distinct (%)59.6%
Missing75
Missing (%)59.1%
Memory size1.1 KiB
2024-04-06T19:10:06.945709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length8.1153846
Min length2

Characters and Unicode

Total characters422
Distinct characters57
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

Unique25 ?
Unique (%)48.1%

Sample

1st row음반
2nd row음반,음악영상물
3rd row음반
4th row음반
5th row음반,음악영상물
ValueCountFrequency (%)
음반 15
18.8%
음반,음악영상물 12
 
15.0%
음악영상물 4
 
5.0%
음반물 3
 
3.8%
음반음악영상물배급업 3
 
3.8%
및 3
 
3.8%
음악 2
 
2.5%
배급 2
 
2.5%
음반제작 2
 
2.5%
영상물 2
 
2.5%
Other values (28) 32
40.0%
2024-04-06T19:10:07.530288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 83
19.7%
반 47
11.1%
, 36
8.5%
악 30
 
7.1%
물 29
 
6.9%
영 28
 
6.6%
상 28
 
6.6%
28
 
6.6%
배 12
 
2.8%
급 12
 
2.8%
Other values (47) 89
21.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
82.7%
Other Punctuation 36
 
8.5%
Space Separator 28
 
6.6%
Uppercase Letter 9
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 83
23.8%
반 47
13.5%
악 30
 
8.6%
물 29
 
8.3%
영 28
 
8.0%
상 28
 
8.0%
배 12
 
3.4%
급 12
 
3.4%
업 10
 
2.9%
오 6
 
1.7%
Other values (38) 64
18.3%
Uppercase Letter
ValueCountFrequency (%)
D 2
22.2%
C 2
22.2%
V 1
11.1%
T 1
11.1%
P 1
11.1%
A 1
11.1%
W 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 36
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 349
82.7%
Common 64
 
15.2%
Latin 9
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 83
23.8%
반 47
13.5%
악 30
 
8.6%
물 29
 
8.3%
영 28
 
8.0%
상 28
 
8.0%
배 12
 
3.4%
급 12
 
3.4%
업 10
 
2.9%
오 6
 
1.7%
Other values (38) 64
18.3%
Latin
ValueCountFrequency (%)
D 2
22.2%
C 2
22.2%
V 1
11.1%
T 1
11.1%
P 1
11.1%
A 1
11.1%
W 1
11.1%
Common
ValueCountFrequency (%)
, 36
56.2%
28
43.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 349
82.7%
ASCII 73
 
17.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 83
23.8%
반 47
13.5%
악 30
 
8.6%
물 29
 
8.3%
영 28
 
8.0%
상 28
 
8.0%
배 12
 
3.4%
급 12
 
3.4%
업 10
 
2.9%
오 6
 
1.7%
Other values (38) 64
18.3%
ASCII
ValueCountFrequency (%)
, 36
49.3%
28
38.4%
D 2
 
2.7%
C 2
 
2.7%
V 1
 
1.4%
T 1
 
1.4%
P 1
 
1.4%
A 1
 
1.4%
W 1
 
1.4%

시설면적
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
112 
0.0
 
11
60.89
 
1
667.59
 
1
280.7
 
1

Length

Max length6
Median length4
Mean length3.9527559
Min length3

Unique

Unique4 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 112
88.2%
0.0 11
 
8.7%
60.89 1
 
0.8%
667.59 1
 
0.8%
280.7 1
 
0.8%
29.62 1
 
0.8%

Length

2024-04-06T19:10:07.805614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:08.014197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 112
88.2%
0.0 11
 
8.7%
60.89 1
 
0.8%
667.59 1
 
0.8%
280.7 1
 
0.8%
29.62 1
 
0.8%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
119 
0
 
8

Length

Max length4
Median length4
Mean length3.8110236
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> 119
93.7%
0 8
 
6.3%

Length

2024-04-06T19:10:08.234362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:08.421588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
93.7%
0 8
 
6.3%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
119 
0
 
8

Length

Max length4
Median length4
Mean length3.8110236
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> 119
93.7%
0 8
 
6.3%

Length

2024-04-06T19:10:08.597312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:08.776908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
93.7%
0 8
 
6.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
119 
0
 
8

Length

Max length4
Median length4
Mean length3.8110236
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> 119
93.7%
0 8
 
6.3%

Length

2024-04-06T19:10:09.013585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:09.210263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
93.7%
0 8
 
6.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
119 
0
 
8

Length

Max length4
Median length4
Mean length3.8110236
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> 119
93.7%
0 8
 
6.3%

Length

2024-04-06T19:10:09.372454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:09.541836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
93.7%
0 8
 
6.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
119 
0
 
8

Length

Max length4
Median length4
Mean length3.8110236
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> 119
93.7%
0 8
 
6.3%

Length

2024-04-06T19:10:09.773803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:09.938905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
93.7%
0 8
 
6.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
119 
0
 
8

Length

Max length4
Median length4
Mean length3.8110236
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> 119
93.7%
0 8
 
6.3%

Length

2024-04-06T19:10:10.158912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:10.370921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
93.7%
0 8
 
6.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
<NA>
119 
0
 
8

Length

Max length4
Median length4
Mean length3.8110236
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> 119
93.7%
0 8
 
6.3%

Length

2024-04-06T19:10:10.569904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:10:10.770990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 119
93.7%
0 8
 
6.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing127
Missing (%)100.0%
Memory size1.2 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF324110199800000119980929<NA>3폐업3폐업20131219<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-**번지 남창빌딩서울특별시 강남구 역삼로 *** (역삼동, 남창빌딩)135925한조물산(주)2014-01-20 16:02:32I2018-08-31 23:59:59.0<NA>203150.623204443676.306123음반.음악영상물배급업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000CDFF324110199900000119991213<NA>3폐업3폐업20090227<NA><NA><NA>3467-9400<NA>135833서울특별시 강남구 논현동 ***-**번지 진영빌딩 *층서울특별시 강남구 선릉로 *** (논현동,진영빌딩 *층)<NA>이엠아이뮤직코리아(주)2009-02-27 17:15:50I2018-08-31 23:59:59.0<NA>203736.905005445476.2982음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFF324110199900000219990611<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2106-2000<NA><NA>서울특별시 강남구 논현동 ***-**번지 에이앤에이스포츠빌딩 *층서울특별시 강남구 논현로 *** (논현동,에이앤에이스포츠빌딩 *층)<NA>(주)유니버설 뮤직2010-10-14 11:06:59I2018-08-31 23:59:59.0<NA>202690.197812445554.647439음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFF324110200200000120020308<NA>3폐업3폐업20081212<NA><NA><NA><NA><NA>135517서울특별시 강남구 청담동 **-**번지 동양빌딩 *층서울특별시 강남구 압구정로**길 ** (청담동,동양빌딩 *층)<NA>(주)씨에스브라더스2008-12-12 14:14:21I2018-08-31 23:59:59.0<NA>203934.855029446963.131878음반.음악영상물배급업유통관련업<NA><NA>음반,음악영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFF324110200400000120041122<NA>1영업/정상13영업중<NA><NA><NA><NA>543-1671<NA>135957서울특별시 강남구 청담동 ***-*번지 *층서울특별시 강남구 도산대로**길 ** (청담동,*층)<NA>(주)피카도르엔터테인먼트2007-03-20 12:17:18I2018-08-31 23:59:59.0<NA>204448.985174447052.186216음반.음악영상물배급업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFF324110200400000220040326<NA>3폐업3폐업20080328<NA><NA><NA>546-4433<NA>135815서울특별시 강남구 논현동 **-**번지 능원타워 ***호서울특별시 강남구 논현로***길 ** (논현동,능원타워 ***호)<NA>(주)더라임라이트뮤직컨설팅2008-03-28 16:27:00I2018-08-31 23:59:59.0<NA>202494.42924445871.873786음반.음악영상물배급업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFF324110200500000120050113<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3450-5433<NA><NA>서울특별시 강남구 대치동 ***-**번지 보성빌딩서울특별시 강남구 테헤란로**길 **, 보성빌딩 *층 (대치동)6194에프앤지서비스(주)2020-03-30 13:33:03U2020-04-01 02:40:00.0<NA>204674.280067444735.596578음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFF324110200600000120060727<NA>1영업/정상13영업중<NA><NA><NA><NA>6710-7777<NA>135953서울특별시 강남구 청담동 **-*번지 정인빌딩서울특별시 강남구 학동로**길 ** (청담동,정인빌딩)<NA>(주)팬텀엔터테인먼트그룹2008-11-27 16:02:02I2018-08-31 23:59:59.0<NA>204753.02446508.085음반.음악영상물배급업유통관련업<NA><NA>음반,음악영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFF324110200600000220060803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 ***-*번지 계진빌딩 *층서울특별시 강남구 논현로***길 ** (신사동,계진빌딩 *층)<NA>(주)스폰지이엔티2011-01-26 10:26:10I2018-08-31 23:59:59.0<NA>202584.621595446824.497496음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000CDFF324110200600000320060921<NA>1영업/정상13영업중<NA><NA><NA><NA>540-0600<NA>135954서울특별시 강남구 청담동 **-*번지서울특별시 강남구 선릉로 *** (청담동)<NA>(주)세도나미디어2006-09-21 13:46:02I2018-08-31 23:59:59.0<NA>203476.174718447004.189243음반.음악영상물배급업유통관련업<NA><NA>음반물<NA><NA><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
1173220000CDFF32411020230000092023-02-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-* 제이빌딩서울특별시 강남구 강남대로 ***, 제이빌딩 (논현동)6043엔에이치엔링크(주)2023-08-16 15:42:37I2022-12-07 23:08:00.0<NA>201750.935445774.145<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1183220000CDFF32411020230000102023-08-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 ***서울특별시 강남구 논현로***길 **, *층 ****호 (신사동)6037하이로우뮤직2023-08-24 13:50:53I2022-12-07 22:06:00.0<NA>202124.262978446374.647464<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1193220000CDFF32411020230000112023-09-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 ***-** 궁도빌딩서울특별시 강남구 봉은사로 ***, 궁도빌딩 *,*,*,*층 (논현동)6103주식회사 테이크원컴퍼니2023-09-07 21:56:07I2022-12-09 00:09:00.0<NA>203693.332185445328.210921<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1203220000CDFF32411020230000122023-10-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 ***-** 신사동 C/K빌딩서울특별시 강남구 도산대로**길 **, 신사동 C/K빌딩 *층 (신사동)6018주식회사 풍월당2023-10-27 14:45:37I2022-10-30 22:09:00.0<NA>203369.422927447066.772855<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1213220000CDFF32411020240000012024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 **-*서울특별시 강남구 언주로***길 **-* (논현동)6053데저트블룸픽처스 주식회사2024-01-09 21:13:15I2023-11-30 23:01:00.0<NA>202841.84953446016.682642<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1223220000CDFF32411020240000022024-01-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 ****-*서울특별시 강남구 영동대로 ***, *층 *호 (대치동)6177이지엔터테인먼트2024-01-16 16:00:55I2023-11-30 23:08:00.0<NA>205834.057581444596.716943<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1233220000CDFF32411020240000032024-01-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-** 동희빌딩서울특별시 강남구 강남대로 ***, 동희빌딩 *층 (역삼동)6253마운드미디어 주식회사2024-01-17 15:38:56I2023-11-30 23:09:00.0<NA>202730.793061443124.904242<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1243220000CDFF32411020240000042024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 ***-**서울특별시 강남구 논현로***길 **, *층,*층,*층,*층 (신사동)6037주식회사 스튜디오 플럼2024-02-20 09:29:11U2023-12-01 22:02:00.0<NA>202315.201582446427.75918<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1253220000CDFF32411020240000052024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 ***-*서울특별시 강남구 언주로 ***, *층 ***호 (역삼동)6144주식회사 헬로준넷글로벌2024-03-25 14:51:38I2023-12-02 22:07:00.0<NA>203496.39445019.365<NA><NA><NA><NA><NA><NA><NA><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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