Overview

Dataset statistics

Number of variables56
Number of observations88
Missing cells2622
Missing cells (%)53.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.9 KiB
Average record size in memory487.5 B

Variable types

Categorical13
Text5
DateTime3
Unsupported27
Numeric8

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-17289/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (51.4%)Imbalance
영업상태명 is highly imbalanced (51.4%)Imbalance
상세영업상태코드 is highly imbalanced (51.4%)Imbalance
상세영업상태명 is highly imbalanced (51.4%)Imbalance
데이터갱신구분 is highly imbalanced (64.1%)Imbalance
데이터갱신일자 is highly imbalanced (78.6%)Imbalance
문화체육업종명 is highly imbalanced (78.5%)Imbalance
주변환경명 is highly imbalanced (58.2%)Imbalance
지역구분명 is highly imbalanced (77.6%)Imbalance
인허가취소일자 has 88 (100.0%) missing valuesMissing
폐업일자 has 1 (1.1%) missing valuesMissing
휴업시작일자 has 88 (100.0%) missing valuesMissing
휴업종료일자 has 88 (100.0%) missing valuesMissing
재개업일자 has 88 (100.0%) missing valuesMissing
전화번호 has 74 (84.1%) missing valuesMissing
소재지면적 has 88 (100.0%) missing valuesMissing
소재지우편번호 has 37 (42.0%) missing valuesMissing
도로명우편번호 has 61 (69.3%) missing valuesMissing
업태구분명 has 88 (100.0%) missing valuesMissing
총층수 has 14 (15.9%) missing valuesMissing
제작취급품목내용 has 88 (100.0%) missing valuesMissing
시설면적 has 30 (34.1%) missing valuesMissing
지상층수 has 14 (15.9%) missing valuesMissing
지하층수 has 15 (17.0%) missing valuesMissing
통로너비 has 88 (100.0%) missing valuesMissing
조명시설조도 has 88 (100.0%) missing valuesMissing
노래방실수 has 88 (100.0%) missing valuesMissing
청소년실수 has 88 (100.0%) missing valuesMissing
비상계단여부 has 88 (100.0%) missing valuesMissing
비상구여부 has 88 (100.0%) missing valuesMissing
자동환기여부 has 88 (100.0%) missing valuesMissing
청소년실여부 has 88 (100.0%) missing valuesMissing
특수조명여부 has 88 (100.0%) missing valuesMissing
방음시설여부 has 88 (100.0%) missing valuesMissing
조명시설유무 has 88 (100.0%) missing valuesMissing
음향시설여부 has 88 (100.0%) missing valuesMissing
편의시설여부 has 88 (100.0%) missing valuesMissing
소방시설여부 has 88 (100.0%) missing valuesMissing
총게임기수 has 88 (100.0%) missing valuesMissing
기존게임업외업종명 has 88 (100.0%) missing valuesMissing
제공게임물명 has 88 (100.0%) missing valuesMissing
공연장형태구분명 has 88 (100.0%) missing valuesMissing
품목명 has 88 (100.0%) missing valuesMissing
최초등록시점 has 88 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 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
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
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
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 7 (8.0%) zerosZeros
시설면적 has 31 (35.2%) zerosZeros
지상층수 has 7 (8.0%) zerosZeros
지하층수 has 7 (8.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:45:49.845229
Analysis finished2024-05-11 06:45:50.620031
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size836.0 B
3220000
88 

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 88
100.0%

Length

2024-05-11T15:45:50.710198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:50.839825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3220000 88
100.0%

관리번호
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T15:45:51.067955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1760
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

Unique88 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000002
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011996000001 1
 
1.1%
cdff1242011996000002 1
 
1.1%
cdff1242012002000009 1
 
1.1%
cdff1242012002000008 1
 
1.1%
cdff1242012002000007 1
 
1.1%
cdff1242012002000006 1
 
1.1%
cdff1242012002000005 1
 
1.1%
cdff1242012002000004 1
 
1.1%
cdff1242012002000003 1
 
1.1%
cdff1242012002000002 1
 
1.1%
Other values (78) 78
88.6%
2024-05-11T15:45:51.576160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 602
34.2%
1 265
15.1%
2 254
14.4%
F 176
 
10.0%
4 103
 
5.9%
9 97
 
5.5%
C 88
 
5.0%
D 88
 
5.0%
6 35
 
2.0%
3 17
 
1.0%
Other values (3) 35
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1408
80.0%
Uppercase Letter 352
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 602
42.8%
1 265
18.8%
2 254
18.0%
4 103
 
7.3%
9 97
 
6.9%
6 35
 
2.5%
3 17
 
1.2%
7 16
 
1.1%
5 11
 
0.8%
8 8
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 176
50.0%
C 88
25.0%
D 88
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1408
80.0%
Latin 352
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 602
42.8%
1 265
18.8%
2 254
18.0%
4 103
 
7.3%
9 97
 
6.9%
6 35
 
2.5%
3 17
 
1.2%
7 16
 
1.1%
5 11
 
0.8%
8 8
 
0.6%
Latin
ValueCountFrequency (%)
F 176
50.0%
C 88
25.0%
D 88
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 602
34.2%
1 265
15.1%
2 254
14.4%
F 176
 
10.0%
4 103
 
5.9%
9 97
 
5.5%
C 88
 
5.0%
D 88
 
5.0%
6 35
 
2.0%
3 17
 
1.0%
Other values (3) 35
 
2.0%

인허가일자
Date

Distinct76
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum1996-09-03 00:00:00
Maximum2022-06-30 00:00:00
2024-05-11T15:45:51.783395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:45:52.028641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
3
71 
4
16 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 71
80.7%
4 16
 
18.2%
1 1
 
1.1%

Length

2024-05-11T15:45:52.226505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:52.382186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 71
80.7%
4 16
 
18.2%
1 1
 
1.1%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
폐업
71 
취소/말소/만료/정지/중지
16 
영업/정상
 
1

Length

Max length14
Median length2
Mean length4.2159091
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 71
80.7%
취소/말소/만료/정지/중지 16
 
18.2%
영업/정상 1
 
1.1%

Length

2024-05-11T15:45:52.553322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:52.709888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 71
80.7%
취소/말소/만료/정지/중지 16
 
18.2%
영업/정상 1
 
1.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
3
71 
35
16 
13
 
1

Length

Max length2
Median length1
Mean length1.1931818
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
3 71
80.7%
35 16
 
18.2%
13 1
 
1.1%

Length

2024-05-11T15:45:52.867856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:53.033093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 71
80.7%
35 16
 
18.2%
13 1
 
1.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
폐업
71 
직권말소
16 
영업중
 
1

Length

Max length4
Median length2
Mean length2.375
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 71
80.7%
직권말소 16
 
18.2%
영업중 1
 
1.1%

Length

2024-05-11T15:45:53.211935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:53.391484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 71
80.7%
직권말소 16
 
18.2%
영업중 1
 
1.1%

폐업일자
Date

MISSING 

Distinct68
Distinct (%)78.2%
Missing1
Missing (%)1.1%
Memory size836.0 B
Minimum1997-11-04 00:00:00
Maximum2023-03-13 00:00:00
2024-05-11T15:45:53.567317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:45:53.804994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

전화번호
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing74
Missing (%)84.1%
Memory size836.0 B
2024-05-11T15:45:54.064247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length10.214286
Min length8

Characters and Unicode

Total characters143
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

Unique12 ?
Unique (%)85.7%

Sample

1st row565-2818
2nd row02-3445-8784
3rd row02-538-4348
4th row02-567-3640
5th row562-7075
ValueCountFrequency (%)
02-538-4348 2
14.3%
565-2818 1
 
7.1%
02-3445-8784 1
 
7.1%
02-567-3640 1
 
7.1%
562-7075 1
 
7.1%
6440-5855 1
 
7.1%
02-562-9894 1
 
7.1%
02-543-7943 1
 
7.1%
501-7852 1
 
7.1%
02-508-7758 1
 
7.1%
Other values (3) 3
21.4%
2024-05-11T15:45:54.558500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 23
16.1%
5 21
14.7%
0 16
11.2%
8 16
11.2%
4 15
10.5%
2 14
9.8%
7 10
7.0%
3 8
 
5.6%
1 8
 
5.6%
6 7
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
83.9%
Dash Punctuation 23
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 21
17.5%
0 16
13.3%
8 16
13.3%
4 15
12.5%
2 14
11.7%
7 10
8.3%
3 8
 
6.7%
1 8
 
6.7%
6 7
 
5.8%
9 5
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 23
16.1%
5 21
14.7%
0 16
11.2%
8 16
11.2%
4 15
10.5%
2 14
9.8%
7 10
7.0%
3 8
 
5.6%
1 8
 
5.6%
6 7
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 23
16.1%
5 21
14.7%
0 16
11.2%
8 16
11.2%
4 15
10.5%
2 14
9.8%
7 10
7.0%
3 8
 
5.6%
1 8
 
5.6%
6 7
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)45.1%
Missing37
Missing (%)42.0%
Infinite0
Infinite (%)0.0%
Mean135865.14
Minimum135090
Maximum135952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:45:54.750661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135090
5-th percentile135802
Q1135843
median135897
Q3135908
95-th percentile135932
Maximum135952
Range862
Interquartile range (IQR)65

Descriptive statistics

Standard deviation128.94681
Coefficient of variation (CV)0.00094907948
Kurtosis27.600407
Mean135865.14
Median Absolute Deviation (MAD)30
Skewness-4.9231548
Sum6929122
Variance16627.281
MonotonicityNot monotonic
2024-05-11T15:45:54.921886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
135897 12
 
13.6%
135931 6
 
6.8%
135908 4
 
4.5%
135843 3
 
3.4%
135932 3
 
3.4%
135892 3
 
3.4%
135802 2
 
2.3%
135825 2
 
2.3%
135822 2
 
2.3%
135830 1
 
1.1%
Other values (13) 13
 
14.8%
(Missing) 37
42.0%
ValueCountFrequency (%)
135090 1
 
1.1%
135509 1
 
1.1%
135802 2
2.3%
135811 1
 
1.1%
135822 2
2.3%
135825 2
2.3%
135830 1
 
1.1%
135841 1
 
1.1%
135843 3
3.4%
135880 1
 
1.1%
ValueCountFrequency (%)
135952 1
 
1.1%
135945 1
 
1.1%
135932 3
 
3.4%
135931 6
6.8%
135927 1
 
1.1%
135908 4
 
4.5%
135897 12
13.6%
135896 1
 
1.1%
135894 1
 
1.1%
135892 3
 
3.4%

지번주소
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T15:45:55.326586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length26.181818
Min length17

Characters and Unicode

Total characters2304
Distinct characters62
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 역삼동 817-31번지 지하1층.1층
2nd row서울특별시 강남구 신사동 662-15번지 4층
3rd row서울특별시 강남구 신사동 578-3번지 (3층)
4th row서울특별시 강남구 역삼동 817-15번지 1.2층
5th row서울특별시 강남구 역삼동 813-18번지 (지하1층)
ValueCountFrequency (%)
서울특별시 88
20.1%
강남구 88
20.1%
신사동 35
 
8.0%
역삼동 30
 
6.9%
지하1층 20
 
4.6%
3층 19
 
4.3%
2층 10
 
2.3%
4층 8
 
1.8%
대치동 8
 
1.8%
논현동 6
 
1.4%
Other values (103) 125
28.6%
2024-05-11T15:45:55.982932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
434
18.8%
지 121
 
5.3%
1 116
 
5.0%
서 88
 
3.8%
남 88
 
3.8%
울 88
 
3.8%
구 88
 
3.8%
동 88
 
3.8%
강 88
 
3.8%
시 88
 
3.8%
Other values (52) 1017
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1305
56.6%
Decimal Number 469
 
20.4%
Space Separator 434
 
18.8%
Dash Punctuation 84
 
3.6%
Other Punctuation 4
 
0.2%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 121
 
9.3%
서 88
 
6.7%
남 88
 
6.7%
울 88
 
6.7%
구 88
 
6.7%
동 88
 
6.7%
강 88
 
6.7%
시 88
 
6.7%
별 88
 
6.7%
특 88
 
6.7%
Other values (34) 392
30.0%
Decimal Number
ValueCountFrequency (%)
1 116
24.7%
6 73
15.6%
2 46
 
9.8%
3 45
 
9.6%
8 41
 
8.7%
4 38
 
8.1%
5 32
 
6.8%
7 32
 
6.8%
9 29
 
6.2%
0 17
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
434
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1305
56.6%
Common 997
43.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 121
 
9.3%
서 88
 
6.7%
남 88
 
6.7%
울 88
 
6.7%
구 88
 
6.7%
동 88
 
6.7%
강 88
 
6.7%
시 88
 
6.7%
별 88
 
6.7%
특 88
 
6.7%
Other values (34) 392
30.0%
Common
ValueCountFrequency (%)
434
43.5%
1 116
 
11.6%
- 84
 
8.4%
6 73
 
7.3%
2 46
 
4.6%
3 45
 
4.5%
8 41
 
4.1%
4 38
 
3.8%
5 32
 
3.2%
7 32
 
3.2%
Other values (6) 56
 
5.6%
Latin
ValueCountFrequency (%)
W 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1305
56.6%
ASCII 999
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
434
43.4%
1 116
 
11.6%
- 84
 
8.4%
6 73
 
7.3%
2 46
 
4.6%
3 45
 
4.5%
8 41
 
4.1%
4 38
 
3.8%
5 32
 
3.2%
7 32
 
3.2%
Other values (8) 58
 
5.8%
Hangul
ValueCountFrequency (%)
지 121
 
9.3%
서 88
 
6.7%
남 88
 
6.7%
울 88
 
6.7%
구 88
 
6.7%
동 88
 
6.7%
강 88
 
6.7%
시 88
 
6.7%
별 88
 
6.7%
특 88
 
6.7%
Other values (34) 392
30.0%

도로명주소
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T15:45:56.387476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length30.738636
Min length26

Characters and Unicode

Total characters2705
Distinct characters99
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 강남대로98길 12-5 (역삼동,지하1층.1층)
2nd row서울특별시 강남구 선릉로161길 15 (신사동,4층)
3rd row서울특별시 강남구 논현로175길 15 (신사동,(3층))
4th row서울특별시 강남구 테헤란로1길 28-6 (역삼동,1.2층)
5th row서울특별시 강남구 강남대로102길 11 (역삼동,(지하1층))
ValueCountFrequency (%)
서울특별시 88
 
18.6%
강남구 88
 
18.6%
신사동 14
 
3.0%
역삼동 10
 
2.1%
3층 8
 
1.7%
지하1층 7
 
1.5%
선릉로161길 6
 
1.3%
테헤란로1길 6
 
1.3%
선릉로 6
 
1.3%
신사동,3층 6
 
1.3%
Other values (142) 235
49.6%
2024-05-11T15:45:57.154669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
443
 
16.4%
1 123
 
4.5%
남 109
 
4.0%
강 108
 
4.0%
구 100
 
3.7%
, 93
 
3.4%
( 91
 
3.4%
) 91
 
3.4%
동 91
 
3.4%
서 89
 
3.3%
Other values (89) 1367
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1551
57.3%
Space Separator 443
 
16.4%
Decimal Number 424
 
15.7%
Other Punctuation 95
 
3.5%
Open Punctuation 91
 
3.4%
Close Punctuation 91
 
3.4%
Dash Punctuation 6
 
0.2%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 109
 
7.0%
강 108
 
7.0%
구 100
 
6.4%
동 91
 
5.9%
서 89
 
5.7%
로 89
 
5.7%
특 88
 
5.7%
별 88
 
5.7%
시 88
 
5.7%
울 88
 
5.7%
Other values (69) 613
39.5%
Decimal Number
ValueCountFrequency (%)
1 123
29.0%
2 60
14.2%
3 49
 
11.6%
4 48
 
11.3%
5 39
 
9.2%
6 28
 
6.6%
7 23
 
5.4%
9 21
 
5.0%
0 18
 
4.2%
8 15
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
W 1
25.0%
A 1
25.0%
Y 1
25.0%
K 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 93
97.9%
. 2
 
2.1%
Space Separator
ValueCountFrequency (%)
443
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1551
57.3%
Common 1150
42.5%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 109
 
7.0%
강 108
 
7.0%
구 100
 
6.4%
동 91
 
5.9%
서 89
 
5.7%
로 89
 
5.7%
특 88
 
5.7%
별 88
 
5.7%
시 88
 
5.7%
울 88
 
5.7%
Other values (69) 613
39.5%
Common
ValueCountFrequency (%)
443
38.5%
1 123
 
10.7%
, 93
 
8.1%
( 91
 
7.9%
) 91
 
7.9%
2 60
 
5.2%
3 49
 
4.3%
4 48
 
4.2%
5 39
 
3.4%
6 28
 
2.4%
Other values (6) 85
 
7.4%
Latin
ValueCountFrequency (%)
W 1
25.0%
A 1
25.0%
Y 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1551
57.3%
ASCII 1154
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
443
38.4%
1 123
 
10.7%
, 93
 
8.1%
( 91
 
7.9%
) 91
 
7.9%
2 60
 
5.2%
3 49
 
4.2%
4 48
 
4.2%
5 39
 
3.4%
6 28
 
2.4%
Other values (10) 89
 
7.7%
Hangul
ValueCountFrequency (%)
남 109
 
7.0%
강 108
 
7.0%
구 100
 
6.4%
동 91
 
5.9%
서 89
 
5.7%
로 89
 
5.7%
특 88
 
5.7%
별 88
 
5.7%
시 88
 
5.7%
울 88
 
5.7%
Other values (69) 613
39.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)48.1%
Missing61
Missing (%)69.3%
Infinite0
Infinite (%)0.0%
Mean10908.185
Minimum6017
Maximum135897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:45:57.367076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6017
5-th percentile6017.3
Q16018
median6129
Q36131.5
95-th percentile6320.2
Maximum135897
Range129880
Interquartile range (IQR)113.5

Descriptive statistics

Standard deviation24979.424
Coefficient of variation (CV)2.2899706
Kurtosis26.99924
Mean10908.185
Median Absolute Deviation (MAD)106
Skewness5.1960466
Sum294521
Variance6.2397161 × 108
MonotonicityNot monotonic
2024-05-11T15:45:57.850233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
6129 8
 
9.1%
6018 6
 
6.8%
6017 2
 
2.3%
6019 2
 
2.3%
6267 1
 
1.1%
6023 1
 
1.1%
6198 1
 
1.1%
6343 1
 
1.1%
6205 1
 
1.1%
6206 1
 
1.1%
Other values (3) 3
 
3.4%
(Missing) 61
69.3%
ValueCountFrequency (%)
6017 2
 
2.3%
6018 6
6.8%
6019 2
 
2.3%
6023 1
 
1.1%
6036 1
 
1.1%
6129 8
9.1%
6134 1
 
1.1%
6198 1
 
1.1%
6205 1
 
1.1%
6206 1
 
1.1%
ValueCountFrequency (%)
135897 1
 
1.1%
6343 1
 
1.1%
6267 1
 
1.1%
6206 1
 
1.1%
6205 1
 
1.1%
6198 1
 
1.1%
6134 1
 
1.1%
6129 8
9.1%
6036 1
 
1.1%
6023 1
 
1.1%

사업장명
Text

Distinct84
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
2024-05-11T15:45:58.177217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length16
Mean length8.1704545
Min length3

Characters and Unicode

Total characters719
Distinct characters168
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)92.0%

Sample

1st rowLA비디오방
2nd row두리비디오방
3rd row비엔나비디오방
4th row아트비디오방
5th row멀티비디오방
ValueCountFrequency (%)
dvd 7
 
6.5%
씨네마비디오감상실 3
 
2.8%
비디오물감상실업 3
 
2.8%
dvd방 3
 
2.8%
브로드웨이 2
 
1.9%
허리우드비디오방 2
 
1.9%
그린라이트 1
 
0.9%
디브이디존(dvd-zone 1
 
0.9%
스테이션 1
 
0.9%
씨네띠끄비디오물감상실업 1
 
0.9%
Other values (84) 84
77.8%
2024-05-11T15:45:58.691805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
디 62
 
8.6%
비 57
 
7.9%
오 53
 
7.4%
D 44
 
6.1%
상 31
 
4.3%
실 29
 
4.0%
감 28
 
3.9%
방 25
 
3.5%
V 22
 
3.1%
20
 
2.8%
Other values (158) 348
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 558
77.6%
Uppercase Letter 97
 
13.5%
Space Separator 20
 
2.8%
Lowercase Letter 16
 
2.2%
Decimal Number 10
 
1.4%
Open Punctuation 8
 
1.1%
Close Punctuation 8
 
1.1%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 62
 
11.1%
비 57
 
10.2%
오 53
 
9.5%
상 31
 
5.6%
실 29
 
5.2%
감 28
 
5.0%
방 25
 
4.5%
이 16
 
2.9%
스 10
 
1.8%
씨 9
 
1.6%
Other values (125) 238
42.7%
Uppercase Letter
ValueCountFrequency (%)
D 44
45.4%
V 22
22.7%
A 6
 
6.2%
M 3
 
3.1%
L 3
 
3.1%
O 3
 
3.1%
N 3
 
3.1%
I 2
 
2.1%
T 2
 
2.1%
E 2
 
2.1%
Other values (6) 7
 
7.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
25.0%
n 2
12.5%
o 2
12.5%
s 2
12.5%
t 2
12.5%
z 1
 
6.2%
a 1
 
6.2%
l 1
 
6.2%
g 1
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 6
60.0%
1 2
 
20.0%
0 2
 
20.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 558
77.6%
Latin 113
 
15.7%
Common 48
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 62
 
11.1%
비 57
 
10.2%
오 53
 
9.5%
상 31
 
5.6%
실 29
 
5.2%
감 28
 
5.0%
방 25
 
4.5%
이 16
 
2.9%
스 10
 
1.8%
씨 9
 
1.6%
Other values (125) 238
42.7%
Latin
ValueCountFrequency (%)
D 44
38.9%
V 22
19.5%
A 6
 
5.3%
e 4
 
3.5%
M 3
 
2.7%
L 3
 
2.7%
O 3
 
2.7%
N 3
 
2.7%
n 2
 
1.8%
o 2
 
1.8%
Other values (15) 21
18.6%
Common
ValueCountFrequency (%)
20
41.7%
( 8
 
16.7%
) 8
 
16.7%
2 6
 
12.5%
1 2
 
4.2%
0 2
 
4.2%
- 1
 
2.1%
& 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 558
77.6%
ASCII 161
 
22.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
디 62
 
11.1%
비 57
 
10.2%
오 53
 
9.5%
상 31
 
5.6%
실 29
 
5.2%
감 28
 
5.0%
방 25
 
4.5%
이 16
 
2.9%
스 10
 
1.8%
씨 9
 
1.6%
Other values (125) 238
42.7%
ASCII
ValueCountFrequency (%)
D 44
27.3%
V 22
13.7%
20
12.4%
( 8
 
5.0%
) 8
 
5.0%
2 6
 
3.7%
A 6
 
3.7%
e 4
 
2.5%
M 3
 
1.9%
L 3
 
1.9%
Other values (23) 37
23.0%

최종수정일자
Date

Distinct68
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
Minimum2003-02-08 13:54:58
Maximum2023-03-14 11:01:37
2024-05-11T15:45:58.953499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:45:59.143331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
I
82 
U
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 82
93.2%
U 6
 
6.8%

Length

2024-05-11T15:45:59.316151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:59.458634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 82
93.2%
u 6
 
6.8%

데이터갱신일자
Categorical

IMBALANCE 

Distinct7
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2018-08-31 23:59:59.0
81 
2022-12-02 23:06:00.0
 
2
2021-04-30 02:40:00.0
 
1
2021-06-26 02:40:00.0
 
1
2020-01-18 02:40:00.0
 
1
Other values (2)
 
2

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique5 ?
Unique (%)5.7%

Sample

1st row2018-08-31 23:59:59.0
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 81
92.0%
2022-12-02 23:06:00.0 2
 
2.3%
2021-04-30 02:40:00.0 1
 
1.1%
2021-06-26 02:40:00.0 1
 
1.1%
2020-01-18 02:40:00.0 1
 
1.1%
2019-05-12 02:40:00.0 1
 
1.1%
2021-12-07 00:02:00.0 1
 
1.1%

Length

2024-05-11T15:45:59.589865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:45:59.726663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 81
46.0%
23:59:59.0 81
46.0%
02:40:00.0 4
 
2.3%
2022-12-02 2
 
1.1%
23:06:00.0 2
 
1.1%
2021-04-30 1
 
0.6%
2021-06-26 1
 
0.6%
2020-01-18 1
 
0.6%
2019-05-12 1
 
0.6%
2021-12-07 1
 
0.6%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

좌표정보(X)
Real number (ℝ)

Distinct80
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203192.24
Minimum201739.35
Maximum207653.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:45:59.881907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201739.35
5-th percentile201953.96
Q1202357.29
median203121.72
Q3203421.55
95-th percentile205348.75
Maximum207653.07
Range5913.7217
Interquartile range (IQR)1064.2555

Descriptive statistics

Standard deviation1162.8361
Coefficient of variation (CV)0.0057228372
Kurtosis2.6878261
Mean203192.24
Median Absolute Deviation (MAD)745.56874
Skewness1.492326
Sum17880917
Variance1352187.8
MonotonicityNot monotonic
2024-05-11T15:46:00.034443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203315.15238216 2
 
2.3%
202379.956845993 2
 
2.3%
203395.425313081 2
 
2.3%
203290.166484019 2
 
2.3%
203430.760409855 2
 
2.3%
204521.216088637 2
 
2.3%
203412.919430862 2
 
2.3%
202415.48453233 2
 
2.3%
203357.638380065 1
 
1.1%
203131.425794406 1
 
1.1%
Other values (70) 70
79.5%
ValueCountFrequency (%)
201739.35 1
1.1%
201773.37 1
1.1%
201928.52231281 1
1.1%
201942.737405801 1
1.1%
201944.584488182 1
1.1%
201971.35912276 1
1.1%
201978.492375663 1
1.1%
201991.40830336 1
1.1%
202057.046070209 1
1.1%
202247.706647347 1
1.1%
ValueCountFrequency (%)
207653.071746263 1
1.1%
207254.388207461 1
1.1%
205567.591666928 1
1.1%
205465.388365865 1
1.1%
205353.117735155 1
1.1%
205340.631121567 1
1.1%
204986.837709378 1
1.1%
204831.182562062 1
1.1%
204772.378817301 1
1.1%
204605.052896072 1
1.1%

좌표정보(Y)
Real number (ℝ)

Distinct80
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445431.37
Minimum442265.89
Maximum447393.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:46:00.205702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442265.89
5-th percentile443450.08
Q1444208.51
median445135.15
Q3447109.76
95-th percentile447273.32
Maximum447393.51
Range5127.6178
Interquartile range (IQR)2901.246

Descriptive statistics

Standard deviation1495.8001
Coefficient of variation (CV)0.0033580932
Kurtosis-1.3887274
Mean445431.37
Median Absolute Deviation (MAD)1092.0932
Skewness-0.012618321
Sum39197960
Variance2237417.8
MonotonicityNot monotonic
2024-05-11T15:46:00.371242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447268.988551304 2
 
2.3%
444295.924676649 2
 
2.3%
447220.440971209 2
 
2.3%
447128.540042728 2
 
2.3%
447194.183216893 2
 
2.3%
443940.569385358 2
 
2.3%
447130.62099185 2
 
2.3%
444197.885358769 2
 
2.3%
447231.009843882 1
 
1.1%
447204.535632346 1
 
1.1%
Other values (70) 70
79.5%
ValueCountFrequency (%)
442265.894119562 1
1.1%
442317.616445129 1
1.1%
442642.378163236 1
1.1%
443073.015965395 1
1.1%
443194.223961835 1
1.1%
443925.244459883 1
1.1%
443940.569385358 2
2.3%
443958.728670181 1
1.1%
444012.419848492 1
1.1%
444111.046932553 1
1.1%
ValueCountFrequency (%)
447393.51192286 1
1.1%
447308.868246701 1
1.1%
447298.458358351 1
1.1%
447296.979708424 1
1.1%
447275.654525634 1
1.1%
447268.988551304 2
2.3%
447256.058730404 1
1.1%
447235.795267081 1
1.1%
447231.009843882 1
1.1%
447220.440971209 2
2.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
비디오물감상실업
85 
<NA>
 
3

Length

Max length8
Median length8
Mean length7.8636364
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 85
96.6%
<NA> 3
 
3.4%

Length

2024-05-11T15:46:00.538523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:00.680754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 85
96.6%
na 3
 
3.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
유통관련업
51 
<NA>
37 

Length

Max length5
Median length5
Mean length4.5795455
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 51
58.0%
<NA> 37
42.0%

Length

2024-05-11T15:46:00.828364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:00.973364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 51
58.0%
na 37
42.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)12.2%
Missing14
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean4.7567568
Minimum0
Maximum10
Zeros7
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:46:01.095662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median5
Q36
95-th percentile7.35
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1055101
Coefficient of variation (CV)0.44263565
Kurtosis1.2285536
Mean4.7567568
Median Absolute Deviation (MAD)1
Skewness-0.44764841
Sum352
Variance4.4331729
MonotonicityNot monotonic
2024-05-11T15:46:01.330461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6 19
21.6%
4 19
21.6%
5 15
17.0%
0 7
 
8.0%
3 5
 
5.7%
7 5
 
5.7%
10 2
 
2.3%
8 1
 
1.1%
9 1
 
1.1%
(Missing) 14
15.9%
ValueCountFrequency (%)
0 7
 
8.0%
3 5
 
5.7%
4 19
21.6%
5 15
17.0%
6 19
21.6%
7 5
 
5.7%
8 1
 
1.1%
9 1
 
1.1%
10 2
 
2.3%
ValueCountFrequency (%)
10 2
 
2.3%
9 1
 
1.1%
8 1
 
1.1%
7 5
 
5.7%
6 19
21.6%
5 15
17.0%
4 19
21.6%
3 5
 
5.7%
0 7
 
8.0%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
76 
학교정화(상대)
10 
유흥업소밀집지역
 
2

Length

Max length8
Median length4
Mean length4.5454545
Min length4

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> 76
86.4%
학교정화(상대) 10
 
11.4%
유흥업소밀집지역 2
 
2.3%

Length

2024-05-11T15:46:01.531548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:01.744221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
86.4%
학교정화(상대 10
 
11.4%
유흥업소밀집지역 2
 
2.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct27
Distinct (%)46.6%
Missing30
Missing (%)34.1%
Infinite0
Infinite (%)0.0%
Mean74.359828
Minimum0
Maximum245.55
Zeros31
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:46:01.891386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3156.725
95-th percentile221.8355
Maximum245.55
Range245.55
Interquartile range (IQR)156.725

Descriptive statistics

Standard deviation87.645588
Coefficient of variation (CV)1.1786685
Kurtosis-1.4123085
Mean74.359828
Median Absolute Deviation (MAD)0
Skewness0.52337505
Sum4312.87
Variance7681.7491
MonotonicityNot monotonic
2024-05-11T15:46:02.078633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 31
35.2%
105.66 2
 
2.3%
142.0 1
 
1.1%
93.0 1
 
1.1%
6.6 1
 
1.1%
178.4 1
 
1.1%
178.33 1
 
1.1%
207.39 1
 
1.1%
186.97 1
 
1.1%
142.69 1
 
1.1%
Other values (17) 17
19.3%
(Missing) 30
34.1%
ValueCountFrequency (%)
0.0 31
35.2%
6.6 1
 
1.1%
93.0 1
 
1.1%
105.66 2
 
2.3%
112.55 1
 
1.1%
120.9 1
 
1.1%
128.0 1
 
1.1%
137.49 1
 
1.1%
142.0 1
 
1.1%
142.69 1
 
1.1%
ValueCountFrequency (%)
245.55 1
1.1%
234.36 1
1.1%
224.02 1
1.1%
221.45 1
1.1%
218.11 1
1.1%
207.39 1
1.1%
186.97 1
1.1%
185.74 1
1.1%
184.04 1
1.1%
178.4 1
1.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)12.2%
Missing14
Missing (%)15.9%
Infinite0
Infinite (%)0.0%
Mean3.8783784
Minimum0
Maximum10
Zeros7
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:46:02.269348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q35
95-th percentile6
Maximum10
Range10
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8649816
Coefficient of variation (CV)0.48086633
Kurtosis1.0840133
Mean3.8783784
Median Absolute Deviation (MAD)1
Skewness-0.20885451
Sum287
Variance3.4781562
MonotonicityNot monotonic
2024-05-11T15:46:02.440500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
5 20
22.7%
3 17
19.3%
4 14
15.9%
6 9
10.2%
0 7
 
8.0%
2 4
 
4.5%
7 1
 
1.1%
1 1
 
1.1%
10 1
 
1.1%
(Missing) 14
15.9%
ValueCountFrequency (%)
0 7
 
8.0%
1 1
 
1.1%
2 4
 
4.5%
3 17
19.3%
4 14
15.9%
5 20
22.7%
6 9
10.2%
7 1
 
1.1%
10 1
 
1.1%
ValueCountFrequency (%)
10 1
 
1.1%
7 1
 
1.1%
6 9
10.2%
5 20
22.7%
4 14
15.9%
3 17
19.3%
2 4
 
4.5%
1 1
 
1.1%
0 7
 
8.0%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)8.2%
Missing15
Missing (%)17.0%
Infinite0
Infinite (%)0.0%
Mean1.109589
Minimum0
Maximum5
Zeros7
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size924.0 B
2024-05-11T15:46:02.614452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile2.4
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8589665
Coefficient of variation (CV)0.7741303
Kurtosis12.194789
Mean1.109589
Median Absolute Deviation (MAD)0
Skewness3.1643917
Sum81
Variance0.73782344
MonotonicityNot monotonic
2024-05-11T15:46:02.788959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 60
68.2%
0 7
 
8.0%
2 2
 
2.3%
5 2
 
2.3%
4 1
 
1.1%
3 1
 
1.1%
(Missing) 15
 
17.0%
ValueCountFrequency (%)
0 7
 
8.0%
1 60
68.2%
2 2
 
2.3%
3 1
 
1.1%
4 1
 
1.1%
5 2
 
2.3%
ValueCountFrequency (%)
5 2
 
2.3%
4 1
 
1.1%
3 1
 
1.1%
2 2
 
2.3%
1 60
68.2%
0 7
 
8.0%

건물용도명
Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
근린생활시설
71 
<NA>
17 

Length

Max length6
Median length6
Mean length5.6136364
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
근린생활시설 71
80.7%
<NA> 17
 
19.3%

Length

2024-05-11T15:46:02.991397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:03.140887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
근린생활시설 71
80.7%
na 17
 
19.3%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

비디오재생기명
Categorical

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
53 
자동
34 
수동
 
1

Length

Max length4
Median length4
Mean length3.2045455
Min length2

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
60.2%
자동 34
38.6%
수동 1
 
1.1%

Length

2024-05-11T15:46:03.331686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:03.556744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
60.2%
자동 34
38.6%
수동 1
 
1.1%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing88
Missing (%)100.0%
Memory size924.0 B

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size836.0 B
<NA>
83 
일반주거지역
 
4
주거지역
 
1

Length

Max length6
Median length4
Mean length4.0909091
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 83
94.3%
일반주거지역 4
 
4.5%
주거지역 1
 
1.1%

Length

2024-05-11T15:46:03.796638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:46:03.975616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 83
94.3%
일반주거지역 4
 
4.5%
주거지역 1
 
1.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03220000CDFF124201199600000119960903<NA>3폐업3폐업19991125<NA><NA><NA><NA><NA>135931서울특별시 강남구 역삼동 817-31번지 지하1층.1층서울특별시 강남구 강남대로98길 12-5 (역삼동,지하1층.1층)<NA>LA비디오방2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>202404.480682444243.818677비디오물감상실업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13220000CDFF124201199600000219960904<NA>3폐업3폐업19991029<NA><NA><NA><NA><NA>135897서울특별시 강남구 신사동 662-15번지 4층서울특별시 강남구 선릉로161길 15 (신사동,4층)<NA>두리비디오방2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>203395.425313447220.440971비디오물감상실업유통관련업6<NA><NA>0.051<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23220000CDFF124201199600000319960905<NA>3폐업3폐업20041022<NA><NA><NA><NA><NA>135892서울특별시 강남구 신사동 578-3번지 (3층)서울특별시 강남구 논현로175길 15 (신사동,(3층))<NA>비엔나비디오방2004-10-22 15:35:19I2018-08-31 23:59:59.0<NA>202352.367995447069.214058비디오물감상실업유통관련업5<NA><NA><NA>41근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33220000CDFF124201199600000419960905<NA>3폐업3폐업20100510<NA><NA><NA><NA><NA><NA>서울특별시 강남구 역삼동 817-15번지 1.2층서울특별시 강남구 테헤란로1길 28-6 (역삼동,1.2층)<NA>아트비디오방2010-05-10 16:42:59I2018-08-31 23:59:59.0<NA>202404.84017444226.54844비디오물감상실업<NA>4<NA><NA>234.3631근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43220000CDFF124201199600000519960907<NA>3폐업3폐업20030903<NA><NA><NA><NA><NA>135931서울특별시 강남구 역삼동 813-18번지 (지하1층)서울특별시 강남구 강남대로102길 11 (역삼동,(지하1층))<NA>멀티비디오방2003-09-03 14:51:57I2018-08-31 23:59:59.0<NA>202294.230653444415.377739비디오물감상실업유통관련업6<NA><NA><NA>51근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53220000CDFF124201199600000619960907<NA>3폐업3폐업20160107<NA><NA><NA><NA><NA><NA>서울특별시 강남구 도곡동 955-4번지 지하1층서울특별시 강남구 남부순환로355길 14, 지하1층 (도곡동, 의료사고가족연합회)6267명화비디오감상실2016-01-07 15:52:45I2018-08-31 23:59:59.0<NA>203112.022673442642.378163비디오물감상실업<NA>5학교정화(상대)<NA>142.041근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63220000CDFF124201199600000719960907<NA>4취소/말소/만료/정지/중지35직권말소20160310<NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 616-8번지 지하1층서울특별시 강남구 압구정로36길 7, 지하1층 (신사동)6023씨네마비디오감상실2016-03-14 14:04:25I2018-08-31 23:59:59.0<NA>202729.628213447308.868247비디오물감상실업<NA>3학교정화(상대)<NA>0.021근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73220000CDFF124201199600000819960907<NA>3폐업3폐업20010407<NA><NA><NA><NA><NA>135811서울특별시 강남구 논현동 1-2번지 지하1층서울특별시 강남구 도산대로 106 (논현동,지하1층)<NA>아트비디오감상실2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>201739.35445988.94비디오물감상실업유통관련업6<NA><NA>0.051<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83220000CDFF124201199600000919960909<NA>3폐업3폐업20010612<NA><NA><NA><NA><NA>135927서울특별시 강남구 역삼동 756-18번지 3층서울특별시 강남구 선릉로 313 (역삼동,3층)<NA>이브비디오감상실2003-02-08 13:54:58I2018-08-31 23:59:59.0<NA>204521.216089443940.569385비디오물감상실업유통관련업<NA><NA><NA>0.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93220000CDFF124201199600001019960909<NA>3폐업3폐업20140313<NA><NA><NA><NA><NA><NA>서울특별시 강남구 대치동 991-0번지 4층서울특별시 강남구 도곡로 524 (대치동,4층)<NA>타임비디오방2014-03-13 17:05:40I2018-08-31 23:59:59.0<NA>205567.591667444146.603364비디오물감상실업<NA>5<NA><NA>128.041근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
783220000CDFF124201200400000520041011<NA>3폐업3폐업20120217<NA><NA><NA>02-538-4348<NA><NA>서울특별시 강남구 역삼동 813-16번지 지상4,5층서울특별시 강남구 봉은사로2길 37 (역삼동,지상4,5층)<NA>몬스터 비디오물감상실업2012-02-17 15:33:33I2018-08-31 23:59:59.0<NA>202281.871206444447.919009비디오물감상실업<NA>5<NA><NA>221.4551근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
793220000CDFF124201200400000620041204<NA>3폐업3폐업20131111<NA><NA><NA>02-508-7758<NA><NA>서울특별시 강남구 역삼동 619-1번지 민빌딩2층서울특별시 강남구 강남대로102길 22 (역삼동,민빌딩2층)<NA>비트맥스DVD영화관2013-11-11 11:07:07I2018-08-31 23:59:59.0<NA>202355.404847444464.966635비디오물감상실업<NA>5<NA><NA>147.551근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
803220000CDFF124201200500000120050228<NA>3폐업3폐업20080709<NA><NA><NA><NA><NA>135822서울특별시 강남구 논현동 141-4번지 지상2층서울특별시 강남구 학동로2길 13 (논현동,지상2층)<NA>M&G DVD존 비디오물감상실업2008-07-09 16:49:48I2018-08-31 23:59:59.0<NA>201944.584488445356.768341비디오물감상실업유통관련업4<NA><NA>142.6941근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
813220000CDFF124201200500000220050912<NA>4취소/말소/만료/정지/중지35직권말소20160310<NA><NA><NA>02-511-0479<NA><NA>서울특별시 강남구 신사동 664-19번지 지상3층서울특별시 강남구 압구정로54길 21, 3층 (신사동)6018브로드웨이2016-03-14 13:58:19I2018-08-31 23:59:59.0<NA>203412.919431447130.620992비디오물감상실업<NA>4<NA><NA>186.9741근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
823220000CDFF124201200800000120081205<NA>3폐업3폐업20110103<NA><NA><NA>514-5261<NA><NA>서울특별시 강남구 신사동 663-4번지 2층서울특별시 강남구 선릉로157길 24 (신사동,2층)<NA>A DVD방2011-01-03 14:54:52I2018-08-31 23:59:59.0<NA>203290.166484447128.540043비디오물감상실업<NA><NA><NA><NA>207.39<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
833220000CDFF124201201000000120100316<NA>3폐업3폐업20170928<NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 663-9번지 4층서울특별시 강남구 언주로172길 56, 4층 (신사동, 서현빌딩)6018Latte DVD2017-09-29 10:09:56I2018-08-31 23:59:59.0<NA>203315.883714447173.044396비디오물감상실업<NA><NA><NA><NA>178.33<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
843220000CDFF12420120100000022010-09-14<NA>3폐업3폐업2023-03-13<NA><NA><NA>070-8119-8582<NA><NA>서울특별시 강남구 역삼동 820-2 지상3층서울특별시 강남구 테헤란로1길 17, 3층 (역삼동)6134해피죤DVD방2023-03-14 11:01:29U2022-12-02 23:06:00.0<NA>202372.354139444139.628295<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853220000CDFF124201201100000120110405<NA>3폐업3폐업20191215<NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 656-1번지 지상2층서울특별시 강남구 선릉로155길 27, 2층 (신사동)6019DVD 홀릭2020-01-16 13:20:49U2020-01-18 02:40:00.0<NA>203228.061559447044.051068비디오물감상실업<NA><NA><NA><NA>178.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863220000CDFF124201201700000120171026<NA>3폐업3폐업20190430<NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 652-3번지서울특별시 강남구 도산대로49길 8, 1층 (신사동, YK빌딩)6019그린라이트 브이알씨씨2019-05-10 11:15:00U2019-05-12 02:40:00.0<NA>203239.081151446792.97673비디오물감상실업<NA><NA><NA><NA>6.6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873220000CDFF124201202200000120220630<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강남구 신사동 541서울특별시 강남구 가로수길 22, 지하1층 (신사동)6036보이드2022-06-30 14:20:36I2021-12-07 00:02:00.0<NA>201991.408303446353.146737<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>