Overview

Dataset statistics

Number of variables56
Number of observations426
Missing cells12365
Missing cells (%)51.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory204.0 KiB
Average record size in memory490.3 B

Variable types

Categorical16
Text6
DateTime4
Unsupported26
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17748/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
통로너비 is highly imbalanced (76.9%)Imbalance
조명시설조도 is highly imbalanced (76.9%)Imbalance
노래방실수 is highly imbalanced (76.9%)Imbalance
청소년실수 is highly imbalanced (76.9%)Imbalance
총게임기수 is highly imbalanced (76.9%)Imbalance
인허가취소일자 has 426 (100.0%) missing valuesMissing
폐업일자 has 342 (80.3%) missing valuesMissing
휴업시작일자 has 426 (100.0%) missing valuesMissing
휴업종료일자 has 426 (100.0%) missing valuesMissing
재개업일자 has 426 (100.0%) missing valuesMissing
전화번호 has 318 (74.6%) missing valuesMissing
소재지면적 has 426 (100.0%) missing valuesMissing
소재지우편번호 has 418 (98.1%) missing valuesMissing
도로명우편번호 has 90 (21.1%) missing valuesMissing
업태구분명 has 426 (100.0%) missing valuesMissing
문화사업자구분명 has 426 (100.0%) missing valuesMissing
주변환경명 has 426 (100.0%) missing valuesMissing
제작취급품목내용 has 426 (100.0%) missing valuesMissing
건물용도명 has 426 (100.0%) missing valuesMissing
비상계단여부 has 426 (100.0%) missing valuesMissing
비상구여부 has 426 (100.0%) missing valuesMissing
자동환기여부 has 426 (100.0%) missing valuesMissing
청소년실여부 has 426 (100.0%) missing valuesMissing
특수조명여부 has 426 (100.0%) missing valuesMissing
방음시설여부 has 426 (100.0%) missing valuesMissing
비디오재생기명 has 426 (100.0%) missing valuesMissing
조명시설유무 has 426 (100.0%) missing valuesMissing
음향시설여부 has 426 (100.0%) missing valuesMissing
편의시설여부 has 426 (100.0%) missing valuesMissing
소방시설여부 has 426 (100.0%) missing valuesMissing
기존게임업외업종명 has 426 (100.0%) missing valuesMissing
제공게임물명 has 426 (100.0%) missing valuesMissing
공연장형태구분명 has 426 (100.0%) missing valuesMissing
품목명 has 426 (100.0%) missing valuesMissing
최초등록시점 has 116 (27.2%) missing valuesMissing
지역구분명 has 426 (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 00:18:11.577126
Analysis finished2024-05-11 00:18:13.396405
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
3210000
426 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 426
100.0%

Length

2024-05-11T00:18:13.582268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:13.875519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 426
100.0%

관리번호
Text

UNIQUE 

Distinct426
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T00:18:14.267860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters8520
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

Unique426 ?
Unique (%)100.0%

Sample

1st rowCDFF5211012006000001
2nd rowCDFF5211012006000002
3rd rowCDFF5211012007000001
4th rowCDFF5211012007000003
5th rowCDFF5211012007000004
ValueCountFrequency (%)
cdff5211012006000001 1
 
0.2%
cdff5211012020000012 1
 
0.2%
cdff5211012020000010 1
 
0.2%
cdff5211012020000009 1
 
0.2%
cdff5211012020000008 1
 
0.2%
cdff5211012020000007 1
 
0.2%
cdff5211012020000006 1
 
0.2%
cdff5211012020000005 1
 
0.2%
cdff5211012020000004 1
 
0.2%
cdff5211012020000003 1
 
0.2%
Other values (416) 416
97.7%
2024-05-11T00:18:15.041152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2826
33.2%
1 1735
20.4%
2 1202
14.1%
F 852
 
10.0%
5 489
 
5.7%
C 426
 
5.0%
D 426
 
5.0%
3 137
 
1.6%
9 103
 
1.2%
4 95
 
1.1%
Other values (3) 229
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6816
80.0%
Uppercase Letter 1704
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2826
41.5%
1 1735
25.5%
2 1202
17.6%
5 489
 
7.2%
3 137
 
2.0%
9 103
 
1.5%
4 95
 
1.4%
8 88
 
1.3%
7 78
 
1.1%
6 63
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 852
50.0%
C 426
25.0%
D 426
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6816
80.0%
Latin 1704
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2826
41.5%
1 1735
25.5%
2 1202
17.6%
5 489
 
7.2%
3 137
 
2.0%
9 103
 
1.5%
4 95
 
1.4%
8 88
 
1.3%
7 78
 
1.1%
6 63
 
0.9%
Latin
ValueCountFrequency (%)
F 852
50.0%
C 426
25.0%
D 426
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2826
33.2%
1 1735
20.4%
2 1202
14.1%
F 852
 
10.0%
5 489
 
5.7%
C 426
 
5.0%
D 426
 
5.0%
3 137
 
1.6%
9 103
 
1.2%
4 95
 
1.1%
Other values (3) 229
 
2.7%

인허가일자
Date

Distinct382
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum1999-06-19 00:00:00
Maximum2024-03-25 00:00:00
2024-05-11T00:18:15.486770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:18:15.957660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
1
341 
3
55 
5
 
30

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 341
80.0%
3 55
 
12.9%
5 30
 
7.0%

Length

2024-05-11T00:18:16.389669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:16.839759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 341
80.0%
3 55
 
12.9%
5 30
 
7.0%

영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영업/정상
341 
폐업
55 
제외/삭제/전출
 
30

Length

Max length8
Median length5
Mean length4.8239437
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 341
80.0%
폐업 55
 
12.9%
제외/삭제/전출 30
 
7.0%

Length

2024-05-11T00:18:17.279080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:17.728320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 341
80.0%
폐업 55
 
12.9%
제외/삭제/전출 30
 
7.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
13
341 
3
55 
15
 
30

Length

Max length2
Median length2
Mean length1.870892
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 341
80.0%
3 55
 
12.9%
15 30
 
7.0%

Length

2024-05-11T00:18:18.152555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:18.609360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 341
80.0%
3 55
 
12.9%
15 30
 
7.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영업중
341 
폐업
55 
전출
 
30

Length

Max length3
Median length3
Mean length2.8004695
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 341
80.0%
폐업 55
 
12.9%
전출 30
 
7.0%

Length

2024-05-11T00:18:19.326648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:19.785092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 341
80.0%
폐업 55
 
12.9%
전출 30
 
7.0%

폐업일자
Date

MISSING 

Distinct79
Distinct (%)94.0%
Missing342
Missing (%)80.3%
Memory size3.5 KiB
Minimum2009-11-27 00:00:00
Maximum2024-04-04 00:00:00
2024-05-11T00:18:20.335708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:18:21.047593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

전화번호
Text

MISSING 

Distinct105
Distinct (%)97.2%
Missing318
Missing (%)74.6%
Memory size3.5 KiB
2024-05-11T00:18:21.978711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.277778
Min length8

Characters and Unicode

Total characters1218
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

Unique102 ?
Unique (%)94.4%

Sample

1st row02-532-9948
2nd row3463-0031
3rd row591-0093
4th row02-592-2087
5th row02-577-6779
ValueCountFrequency (%)
02-3445-8848 2
 
1.9%
02-3444-0222 2
 
1.9%
070-7503-7104 2
 
1.9%
02-532-8357 1
 
0.9%
025221837 1
 
0.9%
02-575-9332 1
 
0.9%
070-7522-3159 1
 
0.9%
1644-2525 1
 
0.9%
02-584-2430 1
 
0.9%
025842340 1
 
0.9%
Other values (95) 95
88.0%
2024-05-11T00:18:23.560287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 198
16.3%
0 194
15.9%
2 167
13.7%
5 122
10.0%
7 99
8.1%
4 91
7.5%
8 89
7.3%
3 69
 
5.7%
9 67
 
5.5%
1 65
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1020
83.7%
Dash Punctuation 198
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 194
19.0%
2 167
16.4%
5 122
12.0%
7 99
9.7%
4 91
8.9%
8 89
8.7%
3 69
 
6.8%
9 67
 
6.6%
1 65
 
6.4%
6 57
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1218
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 198
16.3%
0 194
15.9%
2 167
13.7%
5 122
10.0%
7 99
8.1%
4 91
7.5%
8 89
7.3%
3 69
 
5.7%
9 67
 
5.5%
1 65
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1218
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 198
16.3%
0 194
15.9%
2 167
13.7%
5 122
10.0%
7 99
8.1%
4 91
7.5%
8 89
7.3%
3 69
 
5.7%
9 67
 
5.5%
1 65
 
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)87.5%
Missing418
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean137737.88
Minimum137030
Maximum137876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T00:18:24.244186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137030
5-th percentile137301.95
Q1137807.75
median137842
Q3137846
95-th percentile137868.65
Maximum137876
Range846
Interquartile range (IQR)38.25

Descriptive statistics

Standard deviation286.93376
Coefficient of variation (CV)0.0020831871
Kurtosis7.848652
Mean137737.88
Median Absolute Deviation (MAD)23.5
Skewness-2.7927724
Sum1101903
Variance82330.982
MonotonicityNot monotonic
2024-05-11T00:18:24.875288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
137843 2
 
0.5%
137855 1
 
0.2%
137841 1
 
0.2%
137030 1
 
0.2%
137808 1
 
0.2%
137876 1
 
0.2%
137807 1
 
0.2%
(Missing) 418
98.1%
ValueCountFrequency (%)
137030 1
0.2%
137807 1
0.2%
137808 1
0.2%
137841 1
0.2%
137843 2
0.5%
137855 1
0.2%
137876 1
0.2%
ValueCountFrequency (%)
137876 1
0.2%
137855 1
0.2%
137843 2
0.5%
137841 1
0.2%
137808 1
0.2%
137807 1
0.2%
137030 1
0.2%

지번주소
Text

Distinct290
Distinct (%)68.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T00:18:25.483723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length25.406103
Min length13

Characters and Unicode

Total characters10823
Distinct characters265
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique243 ?
Unique (%)57.0%

Sample

1st row서울특별시 서초구 잠원동 **-*번지 푸른빌딩
2nd row서울특별시 서초구 서초동 ****-*번지 *층,*층
3rd row서울특별시 서초구 서초동 ****-**번지 한원빌딩 신관*층 ***호
4th row서울특별시 서초구 반포동 **-*번지
5th row서울특별시 서초구 잠원동 **-**번지 정덕빌딩 ***호
ValueCountFrequency (%)
서울특별시 426
21.0%
서초구 426
21.0%
번지 205
10.1%
178
8.8%
서초동 164
 
8.1%
잠원동 88
 
4.3%
방배동 65
 
3.2%
양재동 56
 
2.8%
반포동 44
 
2.2%
호 40
 
2.0%
Other values (229) 336
16.6%
2024-05-11T00:18:27.313959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1931
17.8%
1901
17.6%
서 1040
 
9.6%
초 609
 
5.6%
동 445
 
4.1%
시 433
 
4.0%
구 429
 
4.0%
울 428
 
4.0%
특 426
 
3.9%
별 426
 
3.9%
Other values (255) 2755
25.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6531
60.3%
Other Punctuation 1935
 
17.9%
Space Separator 1901
 
17.6%
Dash Punctuation 364
 
3.4%
Uppercase Letter 61
 
0.6%
Close Punctuation 10
 
0.1%
Open Punctuation 10
 
0.1%
Lowercase Letter 7
 
0.1%
Decimal Number 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1040
15.9%
초 609
 
9.3%
동 445
 
6.8%
시 433
 
6.6%
구 429
 
6.6%
울 428
 
6.6%
특 426
 
6.5%
별 426
 
6.5%
지 231
 
3.5%
번 205
 
3.1%
Other values (218) 1859
28.5%
Uppercase Letter
ValueCountFrequency (%)
B 11
18.0%
C 6
 
9.8%
G 5
 
8.2%
I 4
 
6.6%
K 4
 
6.6%
M 4
 
6.6%
T 3
 
4.9%
J 3
 
4.9%
L 3
 
4.9%
N 3
 
4.9%
Other values (10) 15
24.6%
Lowercase Letter
ValueCountFrequency (%)
a 2
28.6%
s 1
14.3%
e 1
14.3%
l 1
14.3%
i 1
14.3%
z 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 1931
99.8%
, 2
 
0.1%
/ 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
8 1
33.3%
3 1
33.3%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
1901
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6528
60.3%
Common 4224
39.0%
Latin 68
 
0.6%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1040
15.9%
초 609
 
9.3%
동 445
 
6.8%
시 433
 
6.6%
구 429
 
6.6%
울 428
 
6.6%
특 426
 
6.5%
별 426
 
6.5%
지 231
 
3.5%
번 205
 
3.1%
Other values (215) 1856
28.4%
Latin
ValueCountFrequency (%)
B 11
16.2%
C 6
 
8.8%
G 5
 
7.4%
I 4
 
5.9%
K 4
 
5.9%
M 4
 
5.9%
T 3
 
4.4%
J 3
 
4.4%
L 3
 
4.4%
N 3
 
4.4%
Other values (16) 22
32.4%
Common
ValueCountFrequency (%)
* 1931
45.7%
1901
45.0%
- 364
 
8.6%
) 10
 
0.2%
( 10
 
0.2%
, 2
 
< 0.1%
/ 2
 
< 0.1%
8 1
 
< 0.1%
~ 1
 
< 0.1%
3 1
 
< 0.1%
Han
ValueCountFrequency (%)
齎 1
33.3%
然 1
33.3%
哄 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6528
60.3%
ASCII 4292
39.7%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1931
45.0%
1901
44.3%
- 364
 
8.5%
B 11
 
0.3%
) 10
 
0.2%
( 10
 
0.2%
C 6
 
0.1%
G 5
 
0.1%
I 4
 
0.1%
K 4
 
0.1%
Other values (27) 46
 
1.1%
Hangul
ValueCountFrequency (%)
서 1040
15.9%
초 609
 
9.3%
동 445
 
6.8%
시 433
 
6.6%
구 429
 
6.6%
울 428
 
6.6%
특 426
 
6.5%
별 426
 
6.5%
지 231
 
3.5%
번 205
 
3.1%
Other values (215) 1856
28.4%
CJK
ValueCountFrequency (%)
齎 1
33.3%
然 1
33.3%
哄 1
33.3%

도로명주소
Text

Distinct379
Distinct (%)89.6%
Missing3
Missing (%)0.7%
Memory size3.5 KiB
2024-05-11T00:18:28.306887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length46
Mean length36.267139
Min length21

Characters and Unicode

Total characters15341
Distinct characters305
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique349 ?
Unique (%)82.5%

Sample

1st row서울특별시 서초구 강남대로 *** (잠원동,푸른빌딩)
2nd row서울특별시 서초구 남부순환로***길 ** (서초동,*층,*층)
3rd row서울특별시 서초구 반포대로*길 ** (서초동,한원빌딩 신관*층 ***호)
4th row서울특별시 서초구 고무래로 * (반포동)
5th row서울특별시 서초구 신반포로**길 *-* (잠원동,정덕빌딩 ***호)
ValueCountFrequency (%)
428
15.1%
서울특별시 423
14.9%
서초구 423
14.9%
호 185
 
6.5%
층 175
 
6.2%
서초동 135
 
4.8%
잠원동 71
 
2.5%
강남대로**길 54
 
1.9%
양재동 50
 
1.8%
방배동 50
 
1.8%
Other values (386) 843
29.7%
2024-05-11T00:18:29.957901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2571
16.8%
2498
16.3%
서 1119
 
7.3%
초 668
 
4.4%
, 494
 
3.2%
동 479
 
3.1%
( 431
 
2.8%
시 431
 
2.8%
) 431
 
2.8%
구 429
 
2.8%
Other values (295) 5790
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8735
56.9%
Other Punctuation 3066
 
20.0%
Space Separator 2498
 
16.3%
Open Punctuation 431
 
2.8%
Close Punctuation 431
 
2.8%
Dash Punctuation 92
 
0.6%
Uppercase Letter 75
 
0.5%
Lowercase Letter 8
 
0.1%
Decimal Number 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 1119
 
12.8%
초 668
 
7.6%
동 479
 
5.5%
시 431
 
4.9%
구 429
 
4.9%
울 425
 
4.9%
특 423
 
4.8%
별 423
 
4.8%
로 414
 
4.7%
길 307
 
3.5%
Other values (257) 3617
41.4%
Uppercase Letter
ValueCountFrequency (%)
B 20
26.7%
A 6
 
8.0%
G 6
 
8.0%
C 5
 
6.7%
M 4
 
5.3%
K 4
 
5.3%
I 4
 
5.3%
L 4
 
5.3%
T 3
 
4.0%
N 3
 
4.0%
Other values (10) 16
21.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
25.0%
b 1
12.5%
z 1
12.5%
i 1
12.5%
l 1
12.5%
e 1
12.5%
s 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 2571
83.9%
, 494
 
16.1%
/ 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
7 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
2498
100.0%
Open Punctuation
ValueCountFrequency (%)
( 431
100.0%
Close Punctuation
ValueCountFrequency (%)
) 431
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8732
56.9%
Common 6523
42.5%
Latin 83
 
0.5%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 1119
 
12.8%
초 668
 
7.7%
동 479
 
5.5%
시 431
 
4.9%
구 429
 
4.9%
울 425
 
4.9%
특 423
 
4.8%
별 423
 
4.8%
로 414
 
4.7%
길 307
 
3.5%
Other values (254) 3614
41.4%
Latin
ValueCountFrequency (%)
B 20
24.1%
A 6
 
7.2%
G 6
 
7.2%
C 5
 
6.0%
M 4
 
4.8%
K 4
 
4.8%
I 4
 
4.8%
L 4
 
4.8%
T 3
 
3.6%
N 3
 
3.6%
Other values (17) 24
28.9%
Common
ValueCountFrequency (%)
* 2571
39.4%
2498
38.3%
, 494
 
7.6%
( 431
 
6.6%
) 431
 
6.6%
- 92
 
1.4%
2 2
 
< 0.1%
7 1
 
< 0.1%
4 1
 
< 0.1%
~ 1
 
< 0.1%
Han
ValueCountFrequency (%)
哄 1
33.3%
然 1
33.3%
齎 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8732
56.9%
ASCII 6606
43.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2571
38.9%
2498
37.8%
, 494
 
7.5%
( 431
 
6.5%
) 431
 
6.5%
- 92
 
1.4%
B 20
 
0.3%
A 6
 
0.1%
G 6
 
0.1%
C 5
 
0.1%
Other values (28) 52
 
0.8%
Hangul
ValueCountFrequency (%)
서 1119
 
12.8%
초 668
 
7.7%
동 479
 
5.5%
시 431
 
4.9%
구 429
 
4.9%
울 425
 
4.9%
특 423
 
4.8%
별 423
 
4.8%
로 414
 
4.7%
길 307
 
3.5%
Other values (254) 3614
41.4%
CJK
ValueCountFrequency (%)
哄 1
33.3%
然 1
33.3%
齎 1
33.3%

도로명우편번호
Text

MISSING 

Distinct156
Distinct (%)46.4%
Missing90
Missing (%)21.1%
Memory size3.5 KiB
2024-05-11T00:18:30.855355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2172619
Min length5

Characters and Unicode

Total characters1753
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

Unique97 ?
Unique (%)28.9%

Sample

1st row137044
2nd row137815
3rd row137876
4th row137838
5th row137886
ValueCountFrequency (%)
06627 16
 
4.8%
137071 11
 
3.3%
06527 10
 
3.0%
137030 10
 
3.0%
06530 9
 
2.7%
137131 9
 
2.7%
06595 8
 
2.4%
06524 8
 
2.4%
06651 7
 
2.1%
06531 7
 
2.1%
Other values (146) 241
71.7%
2024-05-11T00:18:32.173401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 422
24.1%
0 362
20.7%
7 213
12.2%
5 166
 
9.5%
1 163
 
9.3%
3 156
 
8.9%
2 91
 
5.2%
4 71
 
4.1%
8 61
 
3.5%
9 44
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1749
99.8%
Dash Punctuation 4
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 422
24.1%
0 362
20.7%
7 213
12.2%
5 166
 
9.5%
1 163
 
9.3%
3 156
 
8.9%
2 91
 
5.2%
4 71
 
4.1%
8 61
 
3.5%
9 44
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1753
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 422
24.1%
0 362
20.7%
7 213
12.2%
5 166
 
9.5%
1 163
 
9.3%
3 156
 
8.9%
2 91
 
5.2%
4 71
 
4.1%
8 61
 
3.5%
9 44
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1753
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 422
24.1%
0 362
20.7%
7 213
12.2%
5 166
 
9.5%
1 163
 
9.3%
3 156
 
8.9%
2 91
 
5.2%
4 71
 
4.1%
8 61
 
3.5%
9 44
 
2.5%

사업장명
Text

Distinct421
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-05-11T00:18:32.803980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length18
Mean length8.7511737
Min length2

Characters and Unicode

Total characters3728
Distinct characters422
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

Unique416 ?
Unique (%)97.7%

Sample

1st row㈜케이앤엔터테인먼트
2nd row㈜디엔에이프로덕션
3rd row㈜하일엔터테인먼트
4th row㈜디에스피미디어
5th row㈜디엔비스튜디오
ValueCountFrequency (%)
주식회사 71
 
12.5%
주 23
 
4.0%
영화사 10
 
1.8%
필름 4
 
0.7%
lab 2
 
0.4%
유한회사 2
 
0.4%
film 2
 
0.4%
팻머스문화선교회 2
 
0.4%
주)영화특별시에스엠씨 2
 
0.4%
주)필름295 2
 
0.4%
Other values (448) 450
78.9%
2024-05-11T00:18:34.002896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 281
 
7.5%
( 216
 
5.8%
) 216
 
5.8%
스 158
 
4.2%
144
 
3.9%
사 118
 
3.2%
이 109
 
2.9%
트 82
 
2.2%
회 79
 
2.1%
식 75
 
2.0%
Other values (412) 2250
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2980
79.9%
Open Punctuation 216
 
5.8%
Close Punctuation 216
 
5.8%
Space Separator 144
 
3.9%
Lowercase Letter 53
 
1.4%
Uppercase Letter 52
 
1.4%
Other Symbol 40
 
1.1%
Decimal Number 21
 
0.6%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 281
 
9.4%
스 158
 
5.3%
사 118
 
4.0%
이 109
 
3.7%
트 82
 
2.8%
회 79
 
2.7%
식 75
 
2.5%
엔 69
 
2.3%
인 61
 
2.0%
터 56
 
1.9%
Other values (361) 1892
63.5%
Lowercase Letter
ValueCountFrequency (%)
o 7
13.2%
a 6
11.3%
r 5
9.4%
n 5
9.4%
i 4
 
7.5%
e 3
 
5.7%
m 3
 
5.7%
l 3
 
5.7%
s 3
 
5.7%
u 2
 
3.8%
Other values (8) 12
22.6%
Uppercase Letter
ValueCountFrequency (%)
L 8
15.4%
M 6
11.5%
I 4
 
7.7%
S 4
 
7.7%
A 4
 
7.7%
E 4
 
7.7%
F 3
 
5.8%
N 3
 
5.8%
C 3
 
5.8%
B 2
 
3.8%
Other values (7) 11
21.2%
Decimal Number
ValueCountFrequency (%)
1 5
23.8%
3 3
14.3%
5 3
14.3%
9 3
14.3%
2 3
14.3%
0 1
 
4.8%
4 1
 
4.8%
6 1
 
4.8%
8 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 1
 
16.7%
& 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 216
100.0%
Close Punctuation
ValueCountFrequency (%)
) 216
100.0%
Space Separator
ValueCountFrequency (%)
144
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3020
81.0%
Common 603
 
16.2%
Latin 105
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 281
 
9.3%
스 158
 
5.2%
사 118
 
3.9%
이 109
 
3.6%
트 82
 
2.7%
회 79
 
2.6%
식 75
 
2.5%
엔 69
 
2.3%
인 61
 
2.0%
터 56
 
1.9%
Other values (362) 1932
64.0%
Latin
ValueCountFrequency (%)
L 8
 
7.6%
o 7
 
6.7%
M 6
 
5.7%
a 6
 
5.7%
r 5
 
4.8%
n 5
 
4.8%
I 4
 
3.8%
i 4
 
3.8%
S 4
 
3.8%
A 4
 
3.8%
Other values (25) 52
49.5%
Common
ValueCountFrequency (%)
( 216
35.8%
) 216
35.8%
144
23.9%
1 5
 
0.8%
. 4
 
0.7%
3 3
 
0.5%
5 3
 
0.5%
9 3
 
0.5%
2 3
 
0.5%
, 1
 
0.2%
Other values (5) 5
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2980
79.9%
ASCII 708
 
19.0%
None 40
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 281
 
9.4%
스 158
 
5.3%
사 118
 
4.0%
이 109
 
3.7%
트 82
 
2.8%
회 79
 
2.7%
식 75
 
2.5%
엔 69
 
2.3%
인 61
 
2.0%
터 56
 
1.9%
Other values (361) 1892
63.5%
ASCII
ValueCountFrequency (%)
( 216
30.5%
) 216
30.5%
144
20.3%
L 8
 
1.1%
o 7
 
1.0%
M 6
 
0.8%
a 6
 
0.8%
1 5
 
0.7%
r 5
 
0.7%
n 5
 
0.7%
Other values (40) 90
12.7%
None
ValueCountFrequency (%)
㈜ 40
100.0%

최종수정일자
Date

Distinct379
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2010-04-28 15:48:31
Maximum2024-05-01 09:37:37
2024-05-11T00:18:34.599125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:18:35.206865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
I
310 
U
115 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
I 310
72.8%
U 115
 
27.0%
D 1
 
0.2%

Length

2024-05-11T00:18:35.708863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:36.072987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 310
72.8%
u 115
 
27.0%
d 1
 
0.2%

데이터갱신일자
Date

Distinct201
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:03:00
2024-05-11T00:18:36.490744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:18:37.086679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

좌표정보(X)
Real number (ℝ)

Distinct334
Distinct (%)78.6%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean201417.95
Minimum198363.71
Maximum205785.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T00:18:37.737919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198363.71
5-th percentile198836.58
Q1200677.57
median201487.64
Q3202324.64
95-th percentile203789.05
Maximum205785.01
Range7421.3057
Interquartile range (IQR)1647.0711

Descriptive statistics

Standard deviation1402.0691
Coefficient of variation (CV)0.0069609939
Kurtosis-0.11144504
Mean201417.95
Median Absolute Deviation (MAD)811.8364
Skewness-0.035872681
Sum85602629
Variance1965797.8
MonotonicityNot monotonic
2024-05-11T00:18:38.211254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202501.602561199 14
 
3.3%
200675.805294681 6
 
1.4%
201213.64069933 5
 
1.2%
203848.094015013 5
 
1.2%
201853.889908967 4
 
0.9%
199518.983388264 4
 
0.9%
202638.948768564 4
 
0.9%
201386.338220173 3
 
0.7%
199462.435800883 3
 
0.7%
201457.999635171 3
 
0.7%
Other values (324) 374
87.8%
ValueCountFrequency (%)
198363.705516537 1
0.2%
198443.027160659 1
0.2%
198462.41625588 1
0.2%
198534.748228783 1
0.2%
198540.181617126 1
0.2%
198557.423342862 1
0.2%
198592.572389794 1
0.2%
198592.83837836 1
0.2%
198628.029120295 1
0.2%
198644.181748143 1
0.2%
ValueCountFrequency (%)
205785.011209825 1
0.2%
205634.311119598 1
0.2%
204894.348398976 1
0.2%
204648.061332538 1
0.2%
204181.414843033 1
0.2%
204169.215212055 1
0.2%
204158.349624217 1
0.2%
203991.283703817 1
0.2%
203955.826307271 1
0.2%
203909.115 1
0.2%

좌표정보(Y)
Real number (ℝ)

Distinct334
Distinct (%)78.6%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean443463.74
Minimum438376.27
Maximum446206.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T00:18:38.803756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438376.27
5-th percentile441109.32
Q1442514.44
median443263.22
Q3444722.8
95-th percentile445951.22
Maximum446206.35
Range7830.0823
Interquartile range (IQR)2208.3621

Descriptive statistics

Standard deviation1556.9975
Coefficient of variation (CV)0.0035109915
Kurtosis-0.41843634
Mean443463.74
Median Absolute Deviation (MAD)998.88269
Skewness0.0082556784
Sum1.8847209 × 108
Variance2424241.1
MonotonicityNot monotonic
2024-05-11T00:18:39.415047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443226.434038556 14
 
3.3%
443427.113896821 6
 
1.4%
442739.647017252 5
 
1.2%
441601.513809347 5
 
1.2%
444549.812390159 4
 
0.9%
442403.743760001 4
 
0.9%
443109.509930091 4
 
0.9%
443689.075119969 3
 
0.7%
442514.441515508 3
 
0.7%
445573.640430594 3
 
0.7%
Other values (324) 374
87.8%
ValueCountFrequency (%)
438376.272604803 1
0.2%
438769.485852873 1
0.2%
439165.019874854 1
0.2%
439511.409267862 1
0.2%
440039.336541313 1
0.2%
440218.664366759 1
0.2%
440305.389638751 1
0.2%
440372.135898289 1
0.2%
440425.566715464 1
0.2%
440668.613286281 1
0.2%
ValueCountFrequency (%)
446206.354902748 2
0.5%
446183.502793135 2
0.5%
446180.260965954 2
0.5%
446168.909904186 1
0.2%
446150.216745339 2
0.5%
446138.893347795 1
0.2%
446130.47997888 1
0.2%
446085.40011294 1
0.2%
446068.560179388 1
0.2%
446065.753966473 1
0.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
영화제작업
310 
<NA>
116 

Length

Max length5
Median length5
Mean length4.7276995
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 310
72.8%
<NA> 116
 
27.2%

Length

2024-05-11T00:18:40.059690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:40.456102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 310
72.8%
na 116
 
27.2%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

총층수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
360 
0
66 

Length

Max length4
Median length4
Mean length3.5352113
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 360
84.5%
0 66
 
15.5%

Length

2024-05-11T00:18:40.819563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:41.235050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 360
84.5%
0 66
 
15.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

시설면적
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
360 
0
66 

Length

Max length4
Median length4
Mean length3.5352113
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 360
84.5%
0 66
 
15.5%

Length

2024-05-11T00:18:41.746379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:42.202606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 360
84.5%
0 66
 
15.5%

지상층수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
360 
0
66 

Length

Max length4
Median length4
Mean length3.5352113
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 360
84.5%
0 66
 
15.5%

Length

2024-05-11T00:18:42.693945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:43.052750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 360
84.5%
0 66
 
15.5%

지하층수
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
360 
0
66 

Length

Max length4
Median length4
Mean length3.5352113
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 360
84.5%
0 66
 
15.5%

Length

2024-05-11T00:18:43.478338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:43.947258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 360
84.5%
0 66
 
15.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
410 
0
 
16

Length

Max length4
Median length4
Mean length3.8873239
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> 410
96.2%
0 16
 
3.8%

Length

2024-05-11T00:18:44.406497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:44.823905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 410
96.2%
0 16
 
3.8%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
410 
0
 
16

Length

Max length4
Median length4
Mean length3.8873239
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> 410
96.2%
0 16
 
3.8%

Length

2024-05-11T00:18:45.311206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:45.725895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 410
96.2%
0 16
 
3.8%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
410 
0
 
16

Length

Max length4
Median length4
Mean length3.8873239
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> 410
96.2%
0 16
 
3.8%

Length

2024-05-11T00:18:46.257704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:46.985134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 410
96.2%
0 16
 
3.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
410 
0
 
16

Length

Max length4
Median length4
Mean length3.8873239
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> 410
96.2%
0 16
 
3.8%

Length

2024-05-11T00:18:48.071344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:48.499269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 410
96.2%
0 16
 
3.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
<NA>
410 
0
 
16

Length

Max length4
Median length4
Mean length3.8873239
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> 410
96.2%
0 16
 
3.8%

Length

2024-05-11T00:18:49.218573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:18:49.841805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 410
96.2%
0 16
 
3.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct282
Distinct (%)91.0%
Missing116
Missing (%)27.2%
Infinite0
Infinite (%)0.0%
Mean20140678
Minimum20011122
Maximum20220105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 KiB
2024-05-11T00:18:50.647543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20011122
5-th percentile20070850
Q120100346
median20140460
Q320180723
95-th percentile20210372
Maximum20220105
Range208983
Interquartile range (IQR)80377.25

Descriptive statistics

Standard deviation45274.573
Coefficient of variation (CV)0.0022479171
Kurtosis-1.1421141
Mean20140678
Median Absolute Deviation (MAD)40251
Skewness-0.023322533
Sum6.2436102 × 109
Variance2.049787 × 109
MonotonicityNot monotonic
2024-05-11T00:18:51.295901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20090130 5
 
1.2%
20180723 3
 
0.7%
20120927 3
 
0.7%
20190919 3
 
0.7%
20190625 2
 
0.5%
20150326 2
 
0.5%
20120409 2
 
0.5%
20110120 2
 
0.5%
20180903 2
 
0.5%
20130403 2
 
0.5%
Other values (272) 284
66.7%
(Missing) 116
27.2%
ValueCountFrequency (%)
20011122 1
0.2%
20060713 1
0.2%
20061122 1
0.2%
20061207 1
0.2%
20070111 1
0.2%
20070122 1
0.2%
20070227 1
0.2%
20070330 1
0.2%
20070507 1
0.2%
20070514 1
0.2%
ValueCountFrequency (%)
20220105 1
0.2%
20211227 1
0.2%
20211207 1
0.2%
20211201 1
0.2%
20211126 2
0.5%
20211005 1
0.2%
20210809 1
0.2%
20210806 1
0.2%
20210628 1
0.2%
20210625 1
0.2%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing426
Missing (%)100.0%
Memory size3.9 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFF521101200600000120061122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-*번지 푸른빌딩서울특별시 서초구 강남대로 *** (잠원동,푸른빌딩)<NA>㈜케이앤엔터테인먼트2010-04-28 15:48:31I2018-08-31 23:59:59.0<NA>201664.358565445710.12002영화제작업<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>20061122<NA>
13210000CDFF521101200600000220061207<NA>3폐업3폐업20100513<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-*번지 *층,*층서울특별시 서초구 남부순환로***길 ** (서초동,*층,*층)<NA>㈜디엔에이프로덕션2010-05-14 09:46:21I2018-08-31 23:59:59.0<NA>200842.590033442244.007729영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20061207<NA>
23210000CDFF521101200700000120070111<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-**번지 한원빌딩 신관*층 ***호서울특별시 서초구 반포대로*길 ** (서초동,한원빌딩 신관*층 ***호)<NA>㈜하일엔터테인먼트2010-04-28 15:48:31I2018-08-31 23:59:59.0<NA>201332.024846442180.310159영화제작업<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>20070111<NA>
33210000CDFF521101200700000320070122<NA>3폐업3폐업20110223<NA><NA><NA>02-532-9948<NA><NA>서울특별시 서초구 반포동 **-*번지서울특별시 서초구 고무래로 * (반포동)<NA>㈜디에스피미디어2011-02-24 10:35:59I2018-08-31 23:59:59.0<NA>200815.19245444605.147365영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070122<NA>
43210000CDFF521101200700000420070227<NA>3폐업3폐업20120925<NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-**번지 정덕빌딩 ***호서울특별시 서초구 신반포로**길 *-* (잠원동,정덕빌딩 ***호)<NA>㈜디엔비스튜디오2012-09-25 17:17:47I2018-08-31 23:59:59.0<NA>201622.521167445443.962769영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070227<NA>
53210000CDFF521101200700000620070330<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-*번지 ***서울특별시 서초구 서초대로**길 ** (서초동,***)<NA>위드시네마2010-04-28 15:48:31I2018-08-31 23:59:59.0<NA>202123.769148444374.640777영화제작업<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>20070330<NA>
63210000CDFF52110120070000102007-04-26<NA>3폐업3폐업2023-03-20<NA><NA><NA>3463-0031<NA><NA>서울특별시 서초구 양재동 **-* 심산빌딩 *층서울특별시 서초구 바우뫼로**길 ** (양재동,심산빌딩 *층)<NA>㈜에스아이미디어그룹2023-03-20 10:20:19U2022-12-02 22:02:00.0<NA>203393.086265441998.06408<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73210000CDFF521101200700001120070507<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 반포동 ***-*번지 스카이빌딩 *층서울특별시 서초구 주흥길 **-** (반포동,스카이빌딩 *층)<NA>영화사열매2010-04-28 15:48:31I2018-08-31 23:59:59.0<NA>201646.343491445197.3628영화제작업<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>20070507<NA>
83210000CDFF521101200700001220070514<NA>3폐업3폐업20100607<NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 **-**번지 예일빌딩 *층서울특별시 서초구 서초대로**길 ** (방배동,예일빌딩 *층)<NA>㈜영화대장간2010-06-08 09:24:46I2018-08-31 23:59:59.0<NA>199366.9334443149.915155영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070514<NA>
93210000CDFF521101200700001320070521<NA>3폐업3폐업20100409<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-*번지서울특별시 서초구 서초대로**길 ** (서초동)<NA>㈜성원아이컴2010-05-31 14:56:40I2018-08-31 23:59:59.0<NA>200736.126321443526.420076영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070521<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
4163210000CDFF52110120240000072024-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-866-8055<NA><NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 강남대로**길 **-*, *층 (서초동)06734주식회사 제이콥홀딩스2024-02-21 14:17:40I2023-12-01 22:03:00.0<NA>202608.279007442531.620416<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4173210000CDFF52110120240000082024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3478-1904<NA><NA>서울특별시 서초구 반포동 **-** 청천빌라서울특별시 서초구 동광로**길 **, ***호 (반포동, 청천빌라)06580런앤건2024-02-23 15:45:31I2023-12-01 22:05:00.0<NA>199961.577773443656.244933<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4183210000CDFF52110120240000092024-02-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-**서울특별시 서초구 도구로 ***-**, *층 (방배동)06564슈가솔트페퍼2024-02-23 15:08:11I2023-12-01 22:05:00.0<NA>198754.837247442899.45912<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4193210000CDFF52110120240000102024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-* 정동빌딩서울특별시 서초구 강남대로**길 **, 정동빌딩 ***호 (잠원동)06531란코 (RANKO)2024-02-27 13:22:35I2023-12-01 22:09:00.0<NA>201672.224322445526.980257<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4203210000CDFF52110120240000112024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 잠원동 **-* 영빌딩서울특별시 서초구 강남대로**길 **, 영빌딩 *층 (잠원동)06526스타플래티넘 유한회사2024-02-27 13:27:50I2023-12-01 22:09:00.0<NA>201512.086401445829.420787<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4213210000CDFF52110120240000122024-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* 센터프라자서울특별시 서초구 강남대로**길 **, 센터프라자 *층 ***호 (서초동)06614괴수도감 픽쳐스2024-02-28 11:24:09I2023-12-03 00:02:00.0<NA>202183.509842444119.505393<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4223210000CDFF52110120240000132024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2055-3253<NA><NA>서울특별시 서초구 잠원동 **-* 삼도빌딩서울특별시 서초구 신반포로**길 **-*, 삼도빌딩 *층 (잠원동)06531시네마 포브2024-03-18 14:54:11U2023-12-02 22:00:00.0<NA>201613.641708445527.760232<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4233210000CDFF52110120240000142024-03-25<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8623-0092<NA><NA>서울특별시 서초구 양재동 ***-* 트윈타워 에이동 ****호서울특별시 서초구 마방로**길 **, 트윈타워 에이동 **층 ****호 (양재동)06775주식회사 별빛소년2024-03-25 19:07:06I2023-12-02 22:07:00.0<NA>203848.094015441601.513809<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4243210000CDFF52110120240000152024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* 서초메이플라워맴버스빌서울특별시 서초구 서초대로 ***, 서초메이플라워맴버스빌 ***호 (서초동)06607주식회사 유엠아이엔터테인먼트2024-04-03 09:31:01U2023-12-04 00:05:00.0<NA>201711.438277443758.65672<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4253210000CDFF52110120240000162015-09-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 ***-**서울특별시 서초구 서초대로**길 *-** (방배동)06662주식회사 영화사 우상2024-05-01 09:37:37I2023-12-05 00:03:00.0<NA>199739.757468442875.614654<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>