Overview

Dataset statistics

Number of variables56
Number of observations87
Missing cells2429
Missing cells (%)49.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.8 KiB
Average record size in memory491.5 B

Variable types

Categorical18
Text6
DateTime3
Unsupported26
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-17699/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (84.2%)Imbalance
통로너비 is highly imbalanced (84.2%)Imbalance
조명시설조도 is highly imbalanced (84.2%)Imbalance
노래방실수 is highly imbalanced (84.2%)Imbalance
청소년실수 is highly imbalanced (84.2%)Imbalance
총게임기수 is highly imbalanced (84.2%)Imbalance
인허가취소일자 has 87 (100.0%) missing valuesMissing
폐업일자 has 69 (79.3%) missing valuesMissing
휴업시작일자 has 87 (100.0%) missing valuesMissing
휴업종료일자 has 87 (100.0%) missing valuesMissing
재개업일자 has 87 (100.0%) missing valuesMissing
전화번호 has 49 (56.3%) missing valuesMissing
소재지면적 has 87 (100.0%) missing valuesMissing
도로명우편번호 has 20 (23.0%) missing valuesMissing
업태구분명 has 87 (100.0%) missing valuesMissing
문화사업자구분명 has 87 (100.0%) missing valuesMissing
주변환경명 has 87 (100.0%) missing valuesMissing
제작취급품목내용 has 87 (100.0%) missing valuesMissing
건물용도명 has 87 (100.0%) missing valuesMissing
비상계단여부 has 87 (100.0%) missing valuesMissing
비상구여부 has 87 (100.0%) missing valuesMissing
자동환기여부 has 87 (100.0%) missing valuesMissing
청소년실여부 has 87 (100.0%) missing valuesMissing
특수조명여부 has 87 (100.0%) missing valuesMissing
방음시설여부 has 87 (100.0%) missing valuesMissing
비디오재생기명 has 87 (100.0%) missing valuesMissing
조명시설유무 has 87 (100.0%) missing valuesMissing
음향시설여부 has 87 (100.0%) missing valuesMissing
편의시설여부 has 87 (100.0%) missing valuesMissing
소방시설여부 has 87 (100.0%) missing valuesMissing
기존게임업외업종명 has 87 (100.0%) missing valuesMissing
제공게임물명 has 87 (100.0%) missing valuesMissing
공연장형태구분명 has 87 (100.0%) missing valuesMissing
품목명 has 87 (100.0%) missing valuesMissing
최초등록시점 has 29 (33.3%) missing valuesMissing
지역구분명 has 87 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 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
제작취급품목내용 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 07:59:08.677533
Analysis finished2024-05-11 07:59:09.843190
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
3220000
87 

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 87
100.0%

Length

2024-05-11T07:59:09.989773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:10.368686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 87
100.0%

관리번호
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-05-11T07:59:10.779350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1740
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

Unique87 ?
Unique (%)100.0%

Sample

1st rowCDFF5211041999000001
2nd rowCDFF5211042004000001
3rd rowCDFF5211042006000001
4th rowCDFF5211042007000001
5th rowCDFF5211042007000002
ValueCountFrequency (%)
cdff5211041999000001 1
 
1.1%
cdff5211042020000001 1
 
1.1%
cdff5211042018000004 1
 
1.1%
cdff5211042018000003 1
 
1.1%
cdff5211042018000002 1
 
1.1%
cdff5211042018000001 1
 
1.1%
cdff5211042017000008 1
 
1.1%
cdff5211042017000007 1
 
1.1%
cdff5211042017000006 1
 
1.1%
cdff5211042017000005 1
 
1.1%
Other values (77) 77
88.5%
2024-05-11T07:59:11.795585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 636
36.6%
1 255
14.7%
2 216
 
12.4%
F 174
 
10.0%
4 108
 
6.2%
5 101
 
5.8%
C 87
 
5.0%
D 87
 
5.0%
3 23
 
1.3%
7 17
 
1.0%
Other values (3) 36
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1392
80.0%
Uppercase Letter 348
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 636
45.7%
1 255
18.3%
2 216
 
15.5%
4 108
 
7.8%
5 101
 
7.3%
3 23
 
1.7%
7 17
 
1.2%
9 13
 
0.9%
8 13
 
0.9%
6 10
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 174
50.0%
C 87
25.0%
D 87
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1392
80.0%
Latin 348
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 636
45.7%
1 255
18.3%
2 216
 
15.5%
4 108
 
7.8%
5 101
 
7.3%
3 23
 
1.7%
7 17
 
1.2%
9 13
 
0.9%
8 13
 
0.9%
6 10
 
0.7%
Latin
ValueCountFrequency (%)
F 174
50.0%
C 87
25.0%
D 87
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1740
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 636
36.6%
1 255
14.7%
2 216
 
12.4%
F 174
 
10.0%
4 108
 
6.2%
5 101
 
5.8%
C 87
 
5.0%
D 87
 
5.0%
3 23
 
1.3%
7 17
 
1.0%
Other values (3) 36
 
2.1%

인허가일자
Date

Distinct84
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum1999-06-19 00:00:00
Maximum2024-02-29 00:00:00
2024-05-11T07:59:12.226972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:59:12.694592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
1
69 
3
13 
5
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 69
79.3%
3 13
 
14.9%
5 5
 
5.7%

Length

2024-05-11T07:59:13.148811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:13.511591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 69
79.3%
3 13
 
14.9%
5 5
 
5.7%

영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업/정상
69 
폐업
13 
제외/삭제/전출
 
5

Length

Max length8
Median length5
Mean length4.7241379
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 69
79.3%
폐업 13
 
14.9%
제외/삭제/전출 5
 
5.7%

Length

2024-05-11T07:59:13.871659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:14.084796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 69
79.3%
폐업 13
 
14.9%
제외/삭제/전출 5
 
5.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
13
69 
3
13 
15
 
5

Length

Max length2
Median length2
Mean length1.8505747
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 69
79.3%
3 13
 
14.9%
15 5
 
5.7%

Length

2024-05-11T07:59:14.298354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:14.587534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 69
79.3%
3 13
 
14.9%
15 5
 
5.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size828.0 B
영업중
69 
폐업
13 
전출
 
5

Length

Max length3
Median length3
Mean length2.7931034
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 69
79.3%
폐업 13
 
14.9%
전출 5
 
5.7%

Length

2024-05-11T07:59:14.958065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:15.368758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 69
79.3%
폐업 13
 
14.9%
전출 5
 
5.7%

폐업일자
Date

MISSING 

Distinct17
Distinct (%)94.4%
Missing69
Missing (%)79.3%
Memory size828.0 B
Minimum2010-09-08 00:00:00
Maximum2023-12-15 00:00:00
2024-05-11T07:59:15.619889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:59:15.973143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

전화번호
Text

MISSING 

Distinct36
Distinct (%)94.7%
Missing49
Missing (%)56.3%
Memory size828.0 B
2024-05-11T07:59:16.393460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.078947
Min length8

Characters and Unicode

Total characters421
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

Unique34 ?
Unique (%)89.5%

Sample

1st row6497-5132
2nd row02-2015-0867
3rd row02-540-4637
4th row516-1207
5th row3463-0142
ValueCountFrequency (%)
02-3445-1393 2
 
5.3%
02-3490-9300 2
 
5.3%
02-512-4410 1
 
2.6%
070-4106-6948 1
 
2.6%
549-2900 1
 
2.6%
02-514-7778 1
 
2.6%
02-567-8484 1
 
2.6%
070-4848-0753 1
 
2.6%
02-3443-0012 1
 
2.6%
02-3015-0543 1
 
2.6%
Other values (26) 26
68.4%
2024-05-11T07:59:17.261385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 75
17.8%
- 67
15.9%
2 52
12.4%
4 44
10.5%
3 37
8.8%
5 30
 
7.1%
1 28
 
6.7%
9 26
 
6.2%
7 24
 
5.7%
8 19
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 354
84.1%
Dash Punctuation 67
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
21.2%
2 52
14.7%
4 44
12.4%
3 37
10.5%
5 30
 
8.5%
1 28
 
7.9%
9 26
 
7.3%
7 24
 
6.8%
8 19
 
5.4%
6 19
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 421
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 75
17.8%
- 67
15.9%
2 52
12.4%
4 44
10.5%
3 37
8.8%
5 30
 
7.1%
1 28
 
6.7%
9 26
 
6.2%
7 24
 
5.7%
8 19
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 421
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 75
17.8%
- 67
15.9%
2 52
12.4%
4 44
10.5%
3 37
8.8%
5 30
 
7.1%
1 28
 
6.7%
9 26
 
6.2%
7 24
 
5.7%
8 19
 
4.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
85 
135120
 
2

Length

Max length6
Median length4
Mean length4.045977
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row135120
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 85
97.7%
135120 2
 
2.3%

Length

2024-05-11T07:59:17.641582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:18.006398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
97.7%
135120 2
 
2.3%

지번주소
Text

Distinct82
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-05-11T07:59:18.470022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length24.045977
Min length17

Characters and Unicode

Total characters2092
Distinct characters116
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

Unique78 ?
Unique (%)89.7%

Sample

1st row서울특별시 강남구 논현동 91-6
2nd row서울특별시 강남구 신사동 600-4번지 계진빌딩502호
3rd row서울특별시 강남구 신사동 600-4번지 계진빌딩 6층
4th row서울특별시 강남구 논현동 13-10번지 신흥빌딩 4층
5th row서울특별시 강남구 논현동 1-3번지 렉스타워B1
ValueCountFrequency (%)
서울특별시 87
21.6%
강남구 87
21.6%
논현동 33
 
8.2%
신사동 18
 
4.5%
역삼동 16
 
4.0%
삼성동 6
 
1.5%
3-5번지 5
 
1.2%
대치동 5
 
1.2%
청담동 5
 
1.2%
532-1 3
 
0.7%
Other values (124) 137
34.1%
2024-05-11T07:59:19.497797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
371
 
17.7%
강 88
 
4.2%
남 88
 
4.2%
동 88
 
4.2%
서 87
 
4.2%
특 87
 
4.2%
별 87
 
4.2%
시 87
 
4.2%
구 87
 
4.2%
울 87
 
4.2%
Other values (106) 935
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1248
59.7%
Decimal Number 372
 
17.8%
Space Separator 371
 
17.7%
Dash Punctuation 78
 
3.7%
Uppercase Letter 16
 
0.8%
Lowercase Letter 4
 
0.2%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 88
 
7.1%
남 88
 
7.1%
동 88
 
7.1%
서 87
 
7.0%
특 87
 
7.0%
별 87
 
7.0%
시 87
 
7.0%
구 87
 
7.0%
울 87
 
7.0%
지 51
 
4.1%
Other values (75) 411
32.9%
Uppercase Letter
ValueCountFrequency (%)
T 2
12.5%
E 2
12.5%
G 1
 
6.2%
S 1
 
6.2%
D 1
 
6.2%
I 1
 
6.2%
M 1
 
6.2%
C 1
 
6.2%
H 1
 
6.2%
Y 1
 
6.2%
Other values (4) 4
25.0%
Decimal Number
ValueCountFrequency (%)
5 52
14.0%
1 52
14.0%
3 45
12.1%
4 41
11.0%
2 41
11.0%
6 35
9.4%
8 33
8.9%
7 27
7.3%
9 25
6.7%
0 21
5.6%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Space Separator
ValueCountFrequency (%)
371
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1248
59.7%
Common 824
39.4%
Latin 20
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 88
 
7.1%
남 88
 
7.1%
동 88
 
7.1%
서 87
 
7.0%
특 87
 
7.0%
별 87
 
7.0%
시 87
 
7.0%
구 87
 
7.0%
울 87
 
7.0%
지 51
 
4.1%
Other values (75) 411
32.9%
Latin
ValueCountFrequency (%)
T 2
 
10.0%
E 2
 
10.0%
G 1
 
5.0%
S 1
 
5.0%
D 1
 
5.0%
I 1
 
5.0%
M 1
 
5.0%
C 1
 
5.0%
o 1
 
5.0%
w 1
 
5.0%
Other values (8) 8
40.0%
Common
ValueCountFrequency (%)
371
45.0%
- 78
 
9.5%
5 52
 
6.3%
1 52
 
6.3%
3 45
 
5.5%
4 41
 
5.0%
2 41
 
5.0%
6 35
 
4.2%
8 33
 
4.0%
7 27
 
3.3%
Other values (3) 49
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1248
59.7%
ASCII 844
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
371
44.0%
- 78
 
9.2%
5 52
 
6.2%
1 52
 
6.2%
3 45
 
5.3%
4 41
 
4.9%
2 41
 
4.9%
6 35
 
4.1%
8 33
 
3.9%
7 27
 
3.2%
Other values (21) 69
 
8.2%
Hangul
ValueCountFrequency (%)
강 88
 
7.1%
남 88
 
7.1%
동 88
 
7.1%
서 87
 
7.0%
특 87
 
7.0%
별 87
 
7.0%
시 87
 
7.0%
구 87
 
7.0%
울 87
 
7.0%
지 51
 
4.1%
Other values (75) 411
32.9%

도로명주소
Text

Distinct82
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-05-11T07:59:20.108465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length37
Mean length31.643678
Min length23

Characters and Unicode

Total characters2753
Distinct characters135
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)89.7%

Sample

1st row서울특별시 강남구 도산대로 310, 7,8,9층 (논현동, 916빌딩)
2nd row서울특별시 강남구 논현로168길 22 (신사동,계진빌딩502호)
3rd row서울특별시 강남구 논현로168길 22 (신사동,계진빌딩 6층)
4th row서울특별시 강남구 논현로149길 69 (논현동,신흥빌딩 4층)
5th row서울특별시 강남구 도산대로 108 (논현동,렉스타워B1)
ValueCountFrequency (%)
서울특별시 87
 
16.4%
강남구 87
 
16.4%
논현동 28
 
5.3%
역삼동 16
 
3.0%
신사동 15
 
2.8%
3층 7
 
1.3%
삼성동 6
 
1.1%
9 6
 
1.1%
8 6
 
1.1%
논현로 5
 
0.9%
Other values (186) 266
50.3%
2024-05-11T07:59:21.154826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
459
 
16.7%
동 103
 
3.7%
구 96
 
3.5%
강 94
 
3.4%
남 94
 
3.4%
로 90
 
3.3%
시 89
 
3.2%
( 87
 
3.2%
울 87
 
3.2%
서 87
 
3.2%
Other values (125) 1467
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1586
57.6%
Space Separator 459
 
16.7%
Decimal Number 418
 
15.2%
Open Punctuation 87
 
3.2%
Close Punctuation 87
 
3.2%
Other Punctuation 85
 
3.1%
Uppercase Letter 19
 
0.7%
Dash Punctuation 7
 
0.3%
Lowercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 103
 
6.5%
구 96
 
6.1%
강 94
 
5.9%
남 94
 
5.9%
로 90
 
5.7%
시 89
 
5.6%
울 87
 
5.5%
서 87
 
5.5%
별 87
 
5.5%
특 87
 
5.5%
Other values (91) 672
42.4%
Uppercase Letter
ValueCountFrequency (%)
T 3
15.8%
C 2
10.5%
S 2
10.5%
E 2
10.5%
I 2
10.5%
M 1
 
5.3%
W 1
 
5.3%
J 1
 
5.3%
O 1
 
5.3%
G 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
1 84
20.1%
2 63
15.1%
5 47
11.2%
4 39
9.3%
3 39
9.3%
8 39
9.3%
0 36
8.6%
6 32
 
7.7%
9 28
 
6.7%
7 11
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 82
96.5%
. 3
 
3.5%
Space Separator
ValueCountFrequency (%)
459
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1586
57.6%
Common 1144
41.6%
Latin 23
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 103
 
6.5%
구 96
 
6.1%
강 94
 
5.9%
남 94
 
5.9%
로 90
 
5.7%
시 89
 
5.6%
울 87
 
5.5%
서 87
 
5.5%
별 87
 
5.5%
특 87
 
5.5%
Other values (91) 672
42.4%
Common
ValueCountFrequency (%)
459
40.1%
( 87
 
7.6%
) 87
 
7.6%
1 84
 
7.3%
, 82
 
7.2%
2 63
 
5.5%
5 47
 
4.1%
4 39
 
3.4%
3 39
 
3.4%
8 39
 
3.4%
Other values (7) 118
 
10.3%
Latin
ValueCountFrequency (%)
T 3
13.0%
C 2
 
8.7%
S 2
 
8.7%
E 2
 
8.7%
I 2
 
8.7%
M 1
 
4.3%
W 1
 
4.3%
J 1
 
4.3%
O 1
 
4.3%
o 1
 
4.3%
Other values (7) 7
30.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1586
57.6%
ASCII 1167
42.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
459
39.3%
( 87
 
7.5%
) 87
 
7.5%
1 84
 
7.2%
, 82
 
7.0%
2 63
 
5.4%
5 47
 
4.0%
4 39
 
3.3%
3 39
 
3.3%
8 39
 
3.3%
Other values (24) 141
 
12.1%
Hangul
ValueCountFrequency (%)
동 103
 
6.5%
구 96
 
6.1%
강 94
 
5.9%
남 94
 
5.9%
로 90
 
5.7%
시 89
 
5.6%
울 87
 
5.5%
서 87
 
5.5%
별 87
 
5.5%
특 87
 
5.5%
Other values (91) 672
42.4%

도로명우편번호
Text

MISSING 

Distinct56
Distinct (%)83.6%
Missing20
Missing (%)23.0%
Memory size828.0 B
2024-05-11T07:59:21.711943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3432836
Min length5

Characters and Unicode

Total characters358
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

Unique47 ?
Unique (%)70.1%

Sample

1st row06054
2nd row135842
3rd row135-846
4th row135819
5th row135935
ValueCountFrequency (%)
06028 3
 
4.5%
06044 3
 
4.5%
06129 2
 
3.0%
135812 2
 
3.0%
06021 2
 
3.0%
06141 2
 
3.0%
06132 2
 
3.0%
135891 2
 
3.0%
06042 2
 
3.0%
06168 1
 
1.5%
Other values (46) 46
68.7%
2024-05-11T07:59:22.391512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 80
22.3%
6 55
15.4%
1 53
14.8%
5 34
9.5%
3 32
 
8.9%
2 28
 
7.8%
8 25
 
7.0%
4 19
 
5.3%
9 19
 
5.3%
7 10
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 355
99.2%
Dash Punctuation 3
 
0.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80
22.5%
6 55
15.5%
1 53
14.9%
5 34
9.6%
3 32
 
9.0%
2 28
 
7.9%
8 25
 
7.0%
4 19
 
5.4%
9 19
 
5.4%
7 10
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 358
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 80
22.3%
6 55
15.4%
1 53
14.8%
5 34
9.5%
3 32
 
8.9%
2 28
 
7.8%
8 25
 
7.0%
4 19
 
5.3%
9 19
 
5.3%
7 10
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 358
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 80
22.3%
6 55
15.4%
1 53
14.8%
5 34
9.5%
3 32
 
8.9%
2 28
 
7.8%
8 25
 
7.0%
4 19
 
5.3%
9 19
 
5.3%
7 10
 
2.8%

사업장명
Text

Distinct85
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size828.0 B
2024-05-11T07:59:22.898610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length9.3563218
Min length3

Characters and Unicode

Total characters814
Distinct characters200
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

Unique83 ?
Unique (%)95.4%

Sample

1st row주식회사 쇼박스
2nd row스폰지
3rd row(주)스폰지이엔티
4th row㈜타임웍스
5th row시네마스페이스㈜
ValueCountFrequency (%)
주식회사 14
 
12.4%
영화진흥위원회(강남지점 2
 
1.8%
엘지아트센터 2
 
1.8%
주)투베어엔터테인먼트 1
 
0.9%
film(자메이크 1
 
0.9%
후이엔이 1
 
0.9%
주)콘텐츠지오 1
 
0.9%
쇼박스 1
 
0.9%
엔씨미디어 1
 
0.9%
활엔터테인먼트 1
 
0.9%
Other values (88) 88
77.9%
2024-05-11T07:59:23.873925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 60
 
7.4%
( 53
 
6.5%
) 53
 
6.5%
스 43
 
5.3%
이 33
 
4.1%
27
 
3.3%
트 20
 
2.5%
회 16
 
2.0%
식 16
 
2.0%
사 16
 
2.0%
Other values (190) 477
58.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 633
77.8%
Open Punctuation 53
 
6.5%
Close Punctuation 53
 
6.5%
Space Separator 27
 
3.3%
Uppercase Letter 18
 
2.2%
Lowercase Letter 16
 
2.0%
Other Symbol 12
 
1.5%
Decimal Number 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 60
 
9.5%
스 43
 
6.8%
이 33
 
5.2%
트 20
 
3.2%
회 16
 
2.5%
식 16
 
2.5%
사 16
 
2.5%
오 14
 
2.2%
디 13
 
2.1%
지 12
 
1.9%
Other values (161) 390
61.6%
Lowercase Letter
ValueCountFrequency (%)
a 2
12.5%
m 2
12.5%
e 2
12.5%
i 2
12.5%
l 1
6.2%
f 1
6.2%
k 1
6.2%
s 1
6.2%
r 1
6.2%
u 1
6.2%
Other values (2) 2
12.5%
Uppercase Letter
ValueCountFrequency (%)
E 3
16.7%
T 2
11.1%
I 2
11.1%
H 2
11.1%
S 2
11.1%
P 2
11.1%
Z 1
 
5.6%
A 1
 
5.6%
L 1
 
5.6%
X 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 645
79.2%
Common 135
 
16.6%
Latin 34
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 60
 
9.3%
스 43
 
6.7%
이 33
 
5.1%
트 20
 
3.1%
회 16
 
2.5%
식 16
 
2.5%
사 16
 
2.5%
오 14
 
2.2%
디 13
 
2.0%
㈜ 12
 
1.9%
Other values (162) 402
62.3%
Latin
ValueCountFrequency (%)
E 3
 
8.8%
T 2
 
5.9%
a 2
 
5.9%
I 2
 
5.9%
m 2
 
5.9%
H 2
 
5.9%
e 2
 
5.9%
S 2
 
5.9%
P 2
 
5.9%
i 2
 
5.9%
Other values (13) 13
38.2%
Common
ValueCountFrequency (%)
( 53
39.3%
) 53
39.3%
27
20.0%
4 1
 
0.7%
& 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 633
77.8%
ASCII 169
 
20.8%
None 12
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 60
 
9.5%
스 43
 
6.8%
이 33
 
5.2%
트 20
 
3.2%
회 16
 
2.5%
식 16
 
2.5%
사 16
 
2.5%
오 14
 
2.2%
디 13
 
2.1%
지 12
 
1.9%
Other values (161) 390
61.6%
ASCII
ValueCountFrequency (%)
( 53
31.4%
) 53
31.4%
27
16.0%
E 3
 
1.8%
T 2
 
1.2%
a 2
 
1.2%
I 2
 
1.2%
m 2
 
1.2%
H 2
 
1.2%
e 2
 
1.2%
Other values (18) 21
 
12.4%
None
ValueCountFrequency (%)
㈜ 12
100.0%

최종수정일자
Date

Distinct81
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
Minimum2010-04-26 14:06:50
Maximum2024-05-09 14:24:46
2024-05-11T07:59:24.140699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:59:24.437911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
I
58 
U
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 58
66.7%
U 29
33.3%

Length

2024-05-11T07:59:24.796770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:25.108952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 58
66.7%
u 29
33.3%

데이터갱신일자
Categorical

Distinct42
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
2018-08-31 23:59:59.0
44 
2022-11-01 23:07:00.0
 
2
2022-12-07 00:01:00.0
 
2
2020-10-24 02:40:00.0
 
1
2019-03-09 02:40:00.0
 
1
Other values (37)
37 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique39 ?
Unique (%)44.8%

Sample

1st row2023-12-04 00:05:00.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 44
50.6%
2022-11-01 23:07:00.0 2
 
2.3%
2022-12-07 00:01:00.0 2
 
2.3%
2020-10-24 02:40:00.0 1
 
1.1%
2019-03-09 02:40:00.0 1
 
1.1%
2022-10-30 22:09:00.0 1
 
1.1%
2021-10-30 02:40:00.0 1
 
1.1%
2023-12-05 00:01:00.0 1
 
1.1%
2023-12-04 23:01:00.0 1
 
1.1%
2022-12-04 23:09:00.0 1
 
1.1%
Other values (32) 32
36.8%

Length

2024-05-11T07:59:25.333247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 44
25.3%
23:59:59.0 44
25.3%
02:40:00.0 9
 
5.2%
23:07:00.0 6
 
3.4%
2021-12-03 4
 
2.3%
2022-12-07 3
 
1.7%
00:01:00.0 3
 
1.7%
23:01:00.0 2
 
1.1%
2023-12-03 2
 
1.1%
22:01:00.0 2
 
1.1%
Other values (48) 55
31.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

좌표정보(X)
Real number (ℝ)

Distinct72
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203009.47
Minimum201609.63
Maximum206573.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-05-11T07:59:25.562273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201609.63
5-th percentile201774.58
Q1202146.52
median202790.52
Q3203485.83
95-th percentile205167.74
Maximum206573.65
Range4964.021
Interquartile range (IQR)1339.3074

Descriptive statistics

Standard deviation1098.3661
Coefficient of variation (CV)0.005410418
Kurtosis0.47013239
Mean203009.47
Median Absolute Deviation (MAD)675.19767
Skewness1.0080403
Sum17661824
Variance1206408.1
MonotonicityNot monotonic
2024-05-11T07:59:25.953307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201869.777642622 5
 
5.7%
201876.763775315 4
 
4.6%
202072.176572517 3
 
3.4%
203129.501105555 2
 
2.3%
202310.311355859 2
 
2.3%
203184.108901561 2
 
2.3%
201609.62721933 2
 
2.3%
202177.713168161 2
 
2.3%
202584.62159531 2
 
2.3%
202773.477820859 1
 
1.1%
Other values (62) 62
71.3%
ValueCountFrequency (%)
201609.62721933 2
 
2.3%
201657.313312924 1
 
1.1%
201724.249541331 1
 
1.1%
201753.188497176 1
 
1.1%
201824.492635066 1
 
1.1%
201869.777642622 5
5.7%
201876.763775315 4
4.6%
201981.375904108 1
 
1.1%
201996.425 1
 
1.1%
202072.176572517 3
3.4%
ValueCountFrequency (%)
206573.648227777 1
1.1%
205677.522476464 1
1.1%
205345.731819116 1
1.1%
205314.159889285 1
1.1%
205245.202634594 1
1.1%
204986.977259092 1
1.1%
204979.055998352 1
1.1%
204768.643941044 1
1.1%
204649.22 1
1.1%
204588.240549376 1
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct72
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445552.28
Minimum442703.58
Maximum446966.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-05-11T07:59:26.310158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442703.58
5-th percentile443393.56
Q1444685.23
median445850.35
Q3446508.95
95-th percentile446899.38
Maximum446966.8
Range4263.2169
Interquartile range (IQR)1823.7222

Descriptive statistics

Standard deviation1111.7929
Coefficient of variation (CV)0.0024953142
Kurtosis-0.36537294
Mean445552.28
Median Absolute Deviation (MAD)846.51227
Skewness-0.7082013
Sum38763048
Variance1236083.5
MonotonicityNot monotonic
2024-05-11T07:59:26.569412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
446024.410215048 5
 
5.7%
446752.450886565 4
 
4.6%
445585.498649988 3
 
3.4%
444340.670924301 2
 
2.3%
444240.798282863 2
 
2.3%
444431.873863292 2
 
2.3%
446508.952046359 2
 
2.3%
446954.213637343 2
 
2.3%
446824.497495788 2
 
2.3%
446374.401363805 1
 
1.1%
Other values (62) 62
71.3%
ValueCountFrequency (%)
442703.584823804 1
1.1%
442766.115006817 1
1.1%
443149.100356632 1
1.1%
443195.189239438 1
1.1%
443214.427680422 1
1.1%
443811.54 1
1.1%
443839.93360458 1
1.1%
443898.321193665 1
1.1%
443937.024326439 1
1.1%
444106.486630762 1
1.1%
ValueCountFrequency (%)
446966.801695763 1
 
1.1%
446954.213637343 2
2.3%
446949.984677644 1
 
1.1%
446918.477249492 1
 
1.1%
446854.832411779 1
 
1.1%
446824.497495788 2
2.3%
446818.995259311 1
 
1.1%
446789.583905333 1
 
1.1%
446757.421384847 1
 
1.1%
446752.450886565 4
4.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
영화상영업
58 
<NA>
29 

Length

Max length5
Median length5
Mean length4.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 58
66.7%
<NA> 29
33.3%

Length

2024-05-11T07:59:26.852616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:27.052085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 58
66.7%
na 29
33.3%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

총층수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
76 
0
11 

Length

Max length4
Median length4
Mean length3.6206897
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
87.4%
0 11
 
12.6%

Length

2024-05-11T07:59:27.275109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:27.513184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
87.4%
0 11
 
12.6%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

시설면적
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
76 
0
11 

Length

Max length4
Median length4
Mean length3.6206897
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
87.4%
0 11
 
12.6%

Length

2024-05-11T07:59:27.811191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:28.079395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
87.4%
0 11
 
12.6%

지상층수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
76 
0
11 

Length

Max length4
Median length4
Mean length3.6206897
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
87.4%
0 11
 
12.6%

Length

2024-05-11T07:59:28.386180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:28.665988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
87.4%
0 11
 
12.6%

지하층수
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
76 
0
11 

Length

Max length4
Median length4
Mean length3.6206897
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
87.4%
0 11
 
12.6%

Length

2024-05-11T07:59:29.125996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:29.401488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
87.4%
0 11
 
12.6%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
85 
0
 
2

Length

Max length4
Median length4
Mean length3.9310345
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> 85
97.7%
0 2
 
2.3%

Length

2024-05-11T07:59:29.635594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:29.862473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
97.7%
0 2
 
2.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
85 
0
 
2

Length

Max length4
Median length4
Mean length3.9310345
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> 85
97.7%
0 2
 
2.3%

Length

2024-05-11T07:59:30.122308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:30.323498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
97.7%
0 2
 
2.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
85 
0
 
2

Length

Max length4
Median length4
Mean length3.9310345
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> 85
97.7%
0 2
 
2.3%

Length

2024-05-11T07:59:30.528028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:30.721565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
97.7%
0 2
 
2.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
85 
0
 
2

Length

Max length4
Median length4
Mean length3.9310345
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> 85
97.7%
0 2
 
2.3%

Length

2024-05-11T07:59:30.925121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:31.163708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
97.7%
0 2
 
2.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size828.0 B
<NA>
85 
0
 
2

Length

Max length4
Median length4
Mean length3.9310345
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> 85
97.7%
0 2
 
2.3%

Length

2024-05-11T07:59:31.492726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:31.833227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
97.7%
0 2
 
2.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)96.6%
Missing29
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean20128507
Minimum20040416
Maximum20200916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2024-05-11T07:59:32.186172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20040416
5-th percentile20070105
Q120100116
median20125726
Q320160965
95-th percentile20200201
Maximum20200916
Range160500
Interquartile range (IQR)60849.5

Descriptive statistics

Standard deviation41753.611
Coefficient of variation (CV)0.0020743521
Kurtosis-0.8951068
Mean20128507
Median Absolute Deviation (MAD)35011
Skewness0.095400182
Sum1.1674534 × 109
Variance1.743364 × 109
MonotonicityNot monotonic
2024-05-11T07:59:32.619164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20070105 3
 
3.4%
20170603 1
 
1.1%
20090518 1
 
1.1%
20140912 1
 
1.1%
20141022 1
 
1.1%
20141125 1
 
1.1%
20150605 1
 
1.1%
20150703 1
 
1.1%
20150804 1
 
1.1%
20150901 1
 
1.1%
Other values (46) 46
52.9%
(Missing) 29
33.3%
ValueCountFrequency (%)
20040416 1
 
1.1%
20060413 1
 
1.1%
20070105 3
3.4%
20070716 1
 
1.1%
20071212 1
 
1.1%
20080115 1
 
1.1%
20081016 1
 
1.1%
20090130 1
 
1.1%
20090312 1
 
1.1%
20090518 1
 
1.1%
ValueCountFrequency (%)
20200916 1
1.1%
20200624 1
1.1%
20200611 1
1.1%
20200129 1
1.1%
20200109 1
1.1%
20191204 1
1.1%
20180208 1
1.1%
20180118 1
1.1%
20180116 1
1.1%
20171030 1
1.1%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)100.0%
Memory size915.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF52110419990000011999-06-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 91-6서울특별시 강남구 도산대로 310, 7,8,9층 (논현동, 916빌딩)06054주식회사 쇼박스2024-04-03 10:35:31U2023-12-04 00:05:00.0<NA>203064.640171446594.319139<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000CDFF521104200400000120040416<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>135120서울특별시 강남구 신사동 600-4번지 계진빌딩502호서울특별시 강남구 논현로168길 22 (신사동,계진빌딩502호)<NA>스폰지2010-10-29 11:27:15I2018-08-31 23:59:59.0<NA>202584.621595446824.497496영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040416<NA>
23220000CDFF521104200600000120060413<NA>1영업/정상13영업중<NA><NA><NA><NA>6497-5132<NA><NA>서울특별시 강남구 신사동 600-4번지 계진빌딩 6층서울특별시 강남구 논현로168길 22 (신사동,계진빌딩 6층)<NA>(주)스폰지이엔티2011-01-27 16:37:05I2018-08-31 23:59:59.0<NA>202584.621595446824.497496영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20060413<NA>
33220000CDFF521104200700000120070105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 13-10번지 신흥빌딩 4층서울특별시 강남구 논현로149길 69 (논현동,신흥빌딩 4층)<NA>㈜타임웍스2010-04-26 14:06:50I2018-08-31 23:59:59.0<NA>201981.375904446035.876331영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070105<NA>
43220000CDFF521104200700000220070105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 1-3번지 렉스타워B1서울특별시 강남구 도산대로 108 (논현동,렉스타워B1)<NA>시네마스페이스㈜2010-04-26 14:06:50I2018-08-31 23:59:59.0<NA>201753.188497446003.445192영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070105<NA>
53220000CDFF521104200700000320070716<NA>3폐업3폐업20100908<NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 164-7번지서울특별시 강남구 강남대로 510 (논현동)<NA>㈜하명중영화제작소2010-09-09 10:14:25I2018-08-31 23:59:59.0<NA>201996.425445069.98영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070716<NA>
63220000CDFF521104200700000420071212<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 247번지서울특별시 강남구 학동로42길 21 (논현동)<NA>㈜스토리웍스2010-04-26 14:06:50I2018-08-31 23:59:59.0<NA>203164.400524445771.774237영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20071212<NA>
73220000CDFF521104200700000620070105<NA>3폐업3폐업20140514<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 983-1번지 해암빌딩14층서울특별시 강남구 영동대로 325, 14층 (대치동, 해암빌딩)135842㈜모티스2014-05-14 15:07:18I2018-08-31 23:59:59.0<NA>205677.522476444555.644454영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070105<NA>
83220000CDFF521104200800000120080115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 268-6번지서울특별시 강남구 봉은사로51길 26 (논현동)<NA>빅마스터플러스㈜2010-04-26 14:06:50I2018-08-31 23:59:59.0<NA>203696.835146445519.836285영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080115<NA>
93220000CDFF521104200800000220081016<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 3-5번지서울특별시 강남구 도산대로8길 8 (논현동)<NA>㈜브로드웨이앤파트너스2010-04-26 14:06:50I2018-08-31 23:59:59.0<NA>201869.777643446024.410215영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20081016<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
773220000CDFF52110420220000012022-03-23<NA>3폐업3폐업2023-11-13<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 819-6서울특별시 강남구 강남대로92길 19, 지하1층 (역삼동)06134오르페오 룸 엣 트레바리 강남2023-11-13 20:24:07U2022-10-31 23:05:00.0<NA>202487.540609444106.486631<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
783220000CDFF521104202200000220220624<NA>1영업/정상13영업중<NA><NA><NA><NA>02-323-7935<NA><NA>서울특별시 강남구 역삼동 678-15 E.M.C. Tower서울특별시 강남구 테헤란로33길 13-3, E.M.C. Tower 3층 328호 (역삼동)06141고스트4(주)2022-06-24 09:34:20I2021-12-05 22:06:00.0<NA>203373.64444483.765<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
793220000CDFF521104202300000120230104<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 일원동 743 디에이치 자이 개포서울특별시 강남구 영동대로 22 (일원동, 디에이치 자이 개포)06346디에이치 시네마2023-01-04 10:11:50I2022-12-01 00:07:00.0<NA>206573.648228443195.189239<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
803220000CDFF52110420230000022023-02-10<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3442-6929<NA><NA>서울특별시 강남구 신사동 576-8서울특별시 강남구 논현로167길 12, 지하1층 (신사동)06030(주)이오스튜디오2023-02-10 14:26:54I2022-12-01 23:02:00.0<NA>202347.567149446949.984678<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
813220000CDFF52110420230000032023-03-02<NA>1영업/정상13영업중<NA><NA><NA><NA>02-539-2902<NA><NA>서울특별시 강남구 신사동 631-13서울특별시 강남구 언주로154길 10 (신사동)06021(주)아스터개발 디아드아스턴갤리러지점2023-03-02 13:59:44I2022-12-03 00:04:00.0<NA>202960.831024446757.421385<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823220000CDFF52110420230000042023-06-29<NA>1영업/정상13영업중<NA><NA><NA><NA>02-540-1637<NA><NA>서울특별시 강남구 역삼동 816서울특별시 강남구 강남대로 422, 지하 3층 (역삼동)06129씨티극장2023-06-29 15:44:41I2022-12-07 00:01:00.0<NA>202310.311356444240.798283<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833220000CDFF52110420230000052023-12-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 532-1서울특별시 강남구 압구정로10길 9, 지하 2층 (신사동)06028주식회사 스튜디오글로빅(강남지점)2023-12-15 14:57:46I2022-11-01 23:07:00.0<NA>201876.763775446752.450887<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843220000CDFF52110420240000012024-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 논현동 83-7서울특별시 강남구 언주로133길 26-6 (논현동)06053데저트블룸픽처스 주식회사2024-01-09 11:10:14I2023-11-30 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>
853220000CDFF52110420240000022021-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 삼성동 157-33 하이브로빌딩서울특별시 강남구 테헤란로 503, 하이브로빌딩 912호 (삼성동)06168(주)키노라이츠2024-02-15 11:05:25I2023-12-01 23:07:00.0<NA>204986.977259445021.423616<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863220000CDFF52110420240000032024-02-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 889-41서울특별시 강남구 선릉로 428, 10층 106호 (대치동)06192에이전시 레인보우2024-02-29 16:47:39I2023-12-03 00:02:00.0<NA>204338.40374444582.424929<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>