Overview

Dataset statistics

Number of variables56
Number of observations46
Missing cells1374
Missing cells (%)53.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.1 KiB
Average record size in memory490.9 B

Variable types

Categorical14
Text7
Numeric7
Unsupported26
DateTime2

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-17288/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (84.9%)Imbalance
영업상태코드 is highly imbalanced (56.5%)Imbalance
영업상태명 is highly imbalanced (56.5%)Imbalance
상세영업상태코드 is highly imbalanced (62.6%)Imbalance
상세영업상태명 is highly imbalanced (62.6%)Imbalance
도로명우편번호 is highly imbalanced (77.4%)Imbalance
데이터갱신구분 is highly imbalanced (65.2%)Imbalance
문화체육업종명 is highly imbalanced (84.9%)Imbalance
지상층수 is highly imbalanced (67.0%)Imbalance
지하층수 is highly imbalanced (66.9%)Imbalance
건물용도명 is highly imbalanced (50.4%)Imbalance
폐업일자 has 4 (8.7%) missing valuesMissing
휴업시작일자 has 46 (100.0%) missing valuesMissing
휴업종료일자 has 46 (100.0%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
전화번호 has 7 (15.2%) missing valuesMissing
소재지면적 has 46 (100.0%) missing valuesMissing
소재지우편번호 has 6 (13.0%) missing valuesMissing
도로명주소 has 5 (10.9%) missing valuesMissing
업태구분명 has 46 (100.0%) missing valuesMissing
좌표정보(X) has 4 (8.7%) missing valuesMissing
좌표정보(Y) has 4 (8.7%) missing valuesMissing
총층수 has 39 (84.8%) missing valuesMissing
주변환경명 has 42 (91.3%) missing valuesMissing
제작취급품목내용 has 46 (100.0%) missing valuesMissing
시설면적 has 24 (52.2%) missing valuesMissing
통로너비 has 46 (100.0%) missing valuesMissing
조명시설조도 has 46 (100.0%) missing valuesMissing
노래방실수 has 46 (100.0%) missing valuesMissing
청소년실수 has 46 (100.0%) missing valuesMissing
비상계단여부 has 46 (100.0%) missing valuesMissing
비상구여부 has 46 (100.0%) missing valuesMissing
자동환기여부 has 46 (100.0%) missing valuesMissing
청소년실여부 has 46 (100.0%) missing valuesMissing
특수조명여부 has 46 (100.0%) missing valuesMissing
방음시설여부 has 46 (100.0%) missing valuesMissing
조명시설유무 has 46 (100.0%) missing valuesMissing
음향시설여부 has 46 (100.0%) missing valuesMissing
편의시설여부 has 46 (100.0%) missing valuesMissing
소방시설여부 has 46 (100.0%) missing valuesMissing
총게임기수 has 46 (100.0%) missing valuesMissing
기존게임업외업종명 has 46 (100.0%) missing valuesMissing
제공게임물명 has 46 (100.0%) missing valuesMissing
공연장형태구분명 has 46 (100.0%) missing valuesMissing
품목명 has 46 (100.0%) missing valuesMissing
최초등록시점 has 46 (100.0%) missing valuesMissing
지역구분명 has 43 (93.5%) missing valuesMissing
관리번호 has unique valuesUnique
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 1 (2.2%) zerosZeros
시설면적 has 15 (32.6%) zerosZeros

Reproduction

Analysis started2024-05-11 08:32:02.988055
Analysis finished2024-05-11 08:32:04.609194
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3210000
46 

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 46
100.0%

Length

2024-05-11T08:32:04.893678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:05.232074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 46
100.0%

관리번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T08:32:05.810398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters920
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

Unique46 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000002
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011996000001 1
 
2.2%
cdff1242011999000002 1
 
2.2%
cdff1242012014000001 1
 
2.2%
cdff1242011997000002 1
 
2.2%
cdff1242011997000003 1
 
2.2%
cdff1242011997000004 1
 
2.2%
cdff1242011997000005 1
 
2.2%
cdff1242011997000006 1
 
2.2%
cdff1242011997000007 1
 
2.2%
cdff1242011998000001 1
 
2.2%
Other values (36) 36
78.3%
2024-05-11T08:32:07.133016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 283
30.8%
1 154
16.7%
2 119
12.9%
F 92
 
10.0%
9 75
 
8.2%
4 53
 
5.8%
C 46
 
5.0%
D 46
 
5.0%
6 28
 
3.0%
7 10
 
1.1%
Other values (3) 14
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
80.0%
Uppercase Letter 184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 283
38.5%
1 154
20.9%
2 119
16.2%
9 75
 
10.2%
4 53
 
7.2%
6 28
 
3.8%
7 10
 
1.4%
5 6
 
0.8%
3 5
 
0.7%
8 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
80.0%
Latin 184
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 283
38.5%
1 154
20.9%
2 119
16.2%
9 75
 
10.2%
4 53
 
7.2%
6 28
 
3.8%
7 10
 
1.4%
5 6
 
0.8%
3 5
 
0.7%
8 3
 
0.4%
Latin
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 283
30.8%
1 154
16.7%
2 119
12.9%
F 92
 
10.0%
9 75
 
8.2%
4 53
 
5.8%
C 46
 
5.0%
D 46
 
5.0%
6 28
 
3.0%
7 10
 
1.1%
Other values (3) 14
 
1.5%

인허가일자
Real number (ℝ)

Distinct29
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19987119
Minimum19960909
Maximum20140714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T08:32:07.776924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960909
5-th percentile19960909
Q119960909
median19961103
Q319991148
95-th percentile20088085
Maximum20140714
Range179805
Interquartile range (IQR)30238.75

Descriptive statistics

Standard deviation45571.566
Coefficient of variation (CV)0.0022800468
Kurtosis4.6392968
Mean19987119
Median Absolute Deviation (MAD)194
Skewness2.2148311
Sum9.1940745 × 108
Variance2.0767676 × 109
MonotonicityIncreasing
2024-05-11T08:32:08.321688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
19960909 16
34.8%
19960919 2
 
4.3%
19960912 2
 
4.3%
19990922 1
 
2.2%
20140714 1
 
2.2%
20140618 1
 
2.2%
20100408 1
 
2.2%
20051115 1
 
2.2%
20050610 1
 
2.2%
20041111 1
 
2.2%
Other values (19) 19
41.3%
ValueCountFrequency (%)
19960909 16
34.8%
19960912 2
 
4.3%
19960913 1
 
2.2%
19960916 1
 
2.2%
19960919 2
 
4.3%
19961002 1
 
2.2%
19961204 1
 
2.2%
19970109 1
 
2.2%
19970321 1
 
2.2%
19970430 1
 
2.2%
ValueCountFrequency (%)
20140714 1
2.2%
20140618 1
2.2%
20100408 1
2.2%
20051115 1
2.2%
20050610 1
2.2%
20041111 1
2.2%
20021213 1
2.2%
20020329 1
2.2%
20011211 1
2.2%
20010629 1
2.2%

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
20080407
 
1

Length

Max length8
Median length4
Mean length4.0869565
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
20080407 1
 
2.2%

Length

2024-05-11T08:32:08.948893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:09.481258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
20080407 1
 
2.2%

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
3
40 
4
 
3
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 40
87.0%
4 3
 
6.5%
1 3
 
6.5%

Length

2024-05-11T08:32:09.985882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:10.451553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 40
87.0%
4 3
 
6.5%
1 3
 
6.5%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
폐업
40 
취소/말소/만료/정지/중지
 
3
영업/정상
 
3

Length

Max length14
Median length2
Mean length2.9782609
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 40
87.0%
취소/말소/만료/정지/중지 3
 
6.5%
영업/정상 3
 
6.5%

Length

2024-05-11T08:32:10.823919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:11.096756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 40
87.0%
취소/말소/만료/정지/중지 3
 
6.5%
영업/정상 3
 
6.5%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
3
40 
13
 
3
35
 
2
31
 
1

Length

Max length2
Median length1
Mean length1.1304348
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
3 40
87.0%
13 3
 
6.5%
35 2
 
4.3%
31 1
 
2.2%

Length

2024-05-11T08:32:11.396837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:11.999275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 40
87.0%
13 3
 
6.5%
35 2
 
4.3%
31 1
 
2.2%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
폐업
40 
영업중
 
3
직권말소
 
2
등록취소
 
1

Length

Max length4
Median length2
Mean length2.1956522
Min length2

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 40
87.0%
영업중 3
 
6.5%
직권말소 2
 
4.3%
등록취소 1
 
2.2%

Length

2024-05-11T08:32:12.455888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:12.977095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 40
87.0%
영업중 3
 
6.5%
직권말소 2
 
4.3%
등록취소 1
 
2.2%

폐업일자
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)95.2%
Missing4
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean20063949
Minimum19990810
Maximum20220706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T08:32:13.618350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990810
5-th percentile20000722
Q120021128
median20050830
Q320080767
95-th percentile20170985
Maximum20220706
Range229896
Interquartile range (IQR)59639

Descriptive statistics

Standard deviation54537.594
Coefficient of variation (CV)0.0027181885
Kurtosis0.88953128
Mean20063949
Median Absolute Deviation (MAD)29737
Skewness1.1253346
Sum8.4268585 × 108
Variance2.9743492 × 109
MonotonicityNot monotonic
2024-05-11T08:32:14.274613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20021128 3
 
6.5%
20130321 1
 
2.2%
20060214 1
 
2.2%
20120302 1
 
2.2%
20080318 1
 
2.2%
20050831 1
 
2.2%
20130612 1
 
2.2%
20220706 1
 
2.2%
20000612 1
 
2.2%
20030725 1
 
2.2%
Other values (30) 30
65.2%
(Missing) 4
 
8.7%
ValueCountFrequency (%)
19990810 1
 
2.2%
20000612 1
 
2.2%
20000718 1
 
2.2%
20000803 1
 
2.2%
20010221 1
 
2.2%
20010411 1
 
2.2%
20020129 1
 
2.2%
20020313 1
 
2.2%
20020926 1
 
2.2%
20021128 3
6.5%
ValueCountFrequency (%)
20220706 1
2.2%
20190107 1
2.2%
20171031 1
2.2%
20170116 1
2.2%
20130612 1
2.2%
20130321 1
2.2%
20120302 1
2.2%
20110520 1
2.2%
20100517 1
2.2%
20090810 1
2.2%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전화번호
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing7
Missing (%)15.2%
Memory size500.0 B
2024-05-11T08:32:15.425532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.4102564
Min length8

Characters and Unicode

Total characters328
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

Unique39 ?
Unique (%)100.0%

Sample

1st row533-2078
2nd row564-1187
3rd row536-8192
4th row563-3301
5th row3481-4774
ValueCountFrequency (%)
533-2078 1
 
2.6%
591-8389 1
 
2.6%
6351-1548 1
 
2.6%
529-9185 1
 
2.6%
596-2081 1
 
2.6%
3477-7596 1
 
2.6%
3471-5689 1
 
2.6%
522-4648 1
 
2.6%
3482-4030 1
 
2.6%
6414-8825 1
 
2.6%
Other values (29) 29
74.4%
2024-05-11T08:32:16.836653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 45
13.7%
- 40
12.2%
8 33
10.1%
4 33
10.1%
1 31
9.5%
3 30
9.1%
7 27
8.2%
9 25
7.6%
6 24
7.3%
2 22
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 288
87.8%
Dash Punctuation 40
 
12.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 45
15.6%
8 33
11.5%
4 33
11.5%
1 31
10.8%
3 30
10.4%
7 27
9.4%
9 25
8.7%
6 24
8.3%
2 22
7.6%
0 18
 
6.2%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 328
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 45
13.7%
- 40
12.2%
8 33
10.1%
4 33
10.1%
1 31
9.5%
3 30
9.1%
7 27
8.2%
9 25
7.6%
6 24
7.3%
2 22
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 328
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 45
13.7%
- 40
12.2%
8 33
10.1%
4 33
10.1%
1 31
9.5%
3 30
9.1%
7 27
8.2%
9 25
7.6%
6 24
7.3%
2 22
6.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)40.0%
Missing6
Missing (%)13.0%
Infinite0
Infinite (%)0.0%
Mean137865.58
Minimum137803
Maximum137953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T08:32:17.392489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137803
5-th percentile137827.1
Q1137842
median137856
Q3137887
95-th percentile137909
Maximum137953
Range150
Interquartile range (IQR)45

Descriptive statistics

Standard deviation32.424182
Coefficient of variation (CV)0.00023518693
Kurtosis-0.12819876
Mean137865.58
Median Absolute Deviation (MAD)27
Skewness0.35504961
Sum5514623
Variance1051.3276
MonotonicityNot monotonic
2024-05-11T08:32:17.907037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
137856 8
17.4%
137842 6
13.0%
137887 6
13.0%
137829 3
 
6.5%
137909 2
 
4.3%
137828 2
 
4.3%
137908 2
 
4.3%
137852 2
 
4.3%
137895 2
 
4.3%
137881 1
 
2.2%
Other values (6) 6
13.0%
(Missing) 6
13.0%
ValueCountFrequency (%)
137803 1
 
2.2%
137810 1
 
2.2%
137828 2
 
4.3%
137829 3
 
6.5%
137842 6
13.0%
137852 2
 
4.3%
137856 8
17.4%
137876 1
 
2.2%
137881 1
 
2.2%
137887 6
13.0%
ValueCountFrequency (%)
137953 1
 
2.2%
137909 2
 
4.3%
137908 2
 
4.3%
137904 1
 
2.2%
137903 1
 
2.2%
137895 2
 
4.3%
137887 6
13.0%
137881 1
 
2.2%
137876 1
 
2.2%
137856 8
17.4%

지번주소
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T08:32:18.743474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length26.695652
Min length20

Characters and Unicode

Total characters1228
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

Unique44 ?
Unique (%)95.7%

Sample

1st row서울특별시 서초구 잠원동 69-5번지 지층 18,19,20 반포쇼핑타운5동
2nd row서울특별시 서초구 서초동 1317-7번지
3rd row서울특별시 서초구 반포동 58-9번지 서초빌딩 2층
4th row서울특별시 서초구 서초동 1307-20번지
5th row서울특별시 서초구 서초동 1307-23번지 보성빌딩301호
ValueCountFrequency (%)
서울특별시 46
20.6%
서초구 46
20.6%
서초동 15
 
6.7%
방배동 14
 
6.3%
양재동 8
 
3.6%
3층 7
 
3.1%
잠원동 6
 
2.7%
4층 3
 
1.3%
2층 3
 
1.3%
반포동 3
 
1.3%
Other values (70) 72
32.3%
2024-05-11T08:32:20.163468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
219
17.8%
서 109
 
8.9%
초 63
 
5.1%
1 61
 
5.0%
동 51
 
4.2%
지 51
 
4.2%
울 46
 
3.7%
- 46
 
3.7%
구 46
 
3.7%
시 46
 
3.7%
Other values (52) 490
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 688
56.0%
Decimal Number 263
 
21.4%
Space Separator 219
 
17.8%
Dash Punctuation 46
 
3.7%
Other Punctuation 7
 
0.6%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 109
15.8%
초 63
9.2%
동 51
 
7.4%
지 51
 
7.4%
울 46
 
6.7%
구 46
 
6.7%
시 46
 
6.7%
별 46
 
6.7%
특 46
 
6.7%
번 45
 
6.5%
Other values (36) 139
20.2%
Decimal Number
ValueCountFrequency (%)
1 61
23.2%
2 30
11.4%
3 29
11.0%
0 29
11.0%
7 24
 
9.1%
9 23
 
8.7%
8 20
 
7.6%
4 18
 
6.8%
5 17
 
6.5%
6 12
 
4.6%
Space Separator
ValueCountFrequency (%)
219
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 688
56.0%
Common 539
43.9%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 109
15.8%
초 63
9.2%
동 51
 
7.4%
지 51
 
7.4%
울 46
 
6.7%
구 46
 
6.7%
시 46
 
6.7%
별 46
 
6.7%
특 46
 
6.7%
번 45
 
6.5%
Other values (36) 139
20.2%
Common
ValueCountFrequency (%)
219
40.6%
1 61
 
11.3%
- 46
 
8.5%
2 30
 
5.6%
3 29
 
5.4%
0 29
 
5.4%
7 24
 
4.5%
9 23
 
4.3%
8 20
 
3.7%
4 18
 
3.3%
Other values (5) 40
 
7.4%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 688
56.0%
ASCII 540
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
219
40.6%
1 61
 
11.3%
- 46
 
8.5%
2 30
 
5.6%
3 29
 
5.4%
0 29
 
5.4%
7 24
 
4.4%
9 23
 
4.3%
8 20
 
3.7%
4 18
 
3.3%
Other values (6) 41
 
7.6%
Hangul
ValueCountFrequency (%)
서 109
15.8%
초 63
9.2%
동 51
 
7.4%
지 51
 
7.4%
울 46
 
6.7%
구 46
 
6.7%
시 46
 
6.7%
별 46
 
6.7%
특 46
 
6.7%
번 45
 
6.5%
Other values (36) 139
20.2%

도로명주소
Text

MISSING 

Distinct41
Distinct (%)100.0%
Missing5
Missing (%)10.9%
Memory size500.0 B
2024-05-11T08:32:21.005746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length30.439024
Min length24

Characters and Unicode

Total characters1248
Distinct characters79
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

Unique41 ?
Unique (%)100.0%

Sample

1st row서울특별시 서초구 신반포로 195 (잠원동,지층 18,19,20 반포쇼핑타운5동)
2nd row서울특별시 서초구 서초대로77길 13 (서초동)
3rd row서울특별시 서초구 고무래로 12 (반포동,서초빌딩 2층)
4th row서울특별시 서초구 서초대로77길 25 (서초동)
5th row서울특별시 서초구 서초대로77길 19 (서초동,보성빌딩301호)
ValueCountFrequency (%)
서울특별시 41
18.7%
서초구 41
18.7%
서초동 12
 
5.5%
서초대로77길 7
 
3.2%
방배동 5
 
2.3%
신반포로 4
 
1.8%
효령로31길 4
 
1.8%
방배중앙로 3
 
1.4%
방배동,3층 3
 
1.4%
12 2
 
0.9%
Other values (85) 97
44.3%
2024-05-11T08:32:22.511019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
 
17.1%
서 109
 
8.7%
초 68
 
5.4%
동 49
 
3.9%
) 43
 
3.4%
( 43
 
3.4%
로 41
 
3.3%
울 41
 
3.3%
구 41
 
3.3%
시 41
 
3.3%
Other values (69) 559
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 715
57.3%
Space Separator 213
 
17.1%
Decimal Number 198
 
15.9%
Close Punctuation 43
 
3.4%
Open Punctuation 43
 
3.4%
Other Punctuation 30
 
2.4%
Dash Punctuation 5
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 109
15.2%
초 68
 
9.5%
동 49
 
6.9%
로 41
 
5.7%
울 41
 
5.7%
구 41
 
5.7%
시 41
 
5.7%
별 41
 
5.7%
특 41
 
5.7%
길 27
 
3.8%
Other values (53) 216
30.2%
Decimal Number
ValueCountFrequency (%)
1 33
16.7%
3 33
16.7%
2 27
13.6%
7 24
12.1%
5 19
9.6%
0 14
7.1%
9 14
7.1%
4 14
7.1%
8 12
 
6.1%
6 8
 
4.0%
Space Separator
ValueCountFrequency (%)
213
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Other Punctuation
ValueCountFrequency (%)
, 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 715
57.3%
Common 532
42.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 109
15.2%
초 68
 
9.5%
동 49
 
6.9%
로 41
 
5.7%
울 41
 
5.7%
구 41
 
5.7%
시 41
 
5.7%
별 41
 
5.7%
특 41
 
5.7%
길 27
 
3.8%
Other values (53) 216
30.2%
Common
ValueCountFrequency (%)
213
40.0%
) 43
 
8.1%
( 43
 
8.1%
1 33
 
6.2%
3 33
 
6.2%
, 30
 
5.6%
2 27
 
5.1%
7 24
 
4.5%
5 19
 
3.6%
0 14
 
2.6%
Other values (5) 53
 
10.0%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 715
57.3%
ASCII 533
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
40.0%
) 43
 
8.1%
( 43
 
8.1%
1 33
 
6.2%
3 33
 
6.2%
, 30
 
5.6%
2 27
 
5.1%
7 24
 
4.5%
5 19
 
3.6%
0 14
 
2.6%
Other values (6) 54
 
10.1%
Hangul
ValueCountFrequency (%)
서 109
15.2%
초 68
 
9.5%
동 49
 
6.9%
로 41
 
5.7%
울 41
 
5.7%
구 41
 
5.7%
시 41
 
5.7%
별 41
 
5.7%
특 41
 
5.7%
길 27
 
3.8%
Other values (53) 216
30.2%

도로명우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
43 
6612
 
1
6650
 
1
6634
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique3 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
93.5%
6612 1
 
2.2%
6650 1
 
2.2%
6634 1
 
2.2%

Length

2024-05-11T08:32:23.021185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:23.388150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
93.5%
6612 1
 
2.2%
6650 1
 
2.2%
6634 1
 
2.2%

사업장명
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T08:32:23.978361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length7.9782609
Min length2

Characters and Unicode

Total characters367
Distinct characters93
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)95.7%

Sample

1st row반포비디오방
2nd row아이맥스
3rd row조인비디오방
4th row씨네21비디오감상실
5th row벤허비디오감상실
ValueCountFrequency (%)
비디오방 7
 
10.3%
비디오감상실 5
 
7.4%
큐 2
 
2.9%
서초비디오감상실 1
 
1.5%
dvd방 1
 
1.5%
씨엔엔(cnn)비디오감상실 1
 
1.5%
천지창조 1
 
1.5%
신화창조 1
 
1.5%
씨티비디오감상실 1
 
1.5%
4동 1
 
1.5%
Other values (47) 47
69.1%
2024-05-11T08:32:25.188536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
디 38
 
10.4%
비 36
 
9.8%
오 34
 
9.3%
22
 
6.0%
방 20
 
5.4%
상 17
 
4.6%
실 17
 
4.6%
감 17
 
4.6%
D 14
 
3.8%
V 7
 
1.9%
Other values (83) 145
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 296
80.7%
Uppercase Letter 38
 
10.4%
Space Separator 22
 
6.0%
Decimal Number 5
 
1.4%
Close Punctuation 3
 
0.8%
Open Punctuation 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 38
 
12.8%
비 36
 
12.2%
오 34
 
11.5%
방 20
 
6.8%
상 17
 
5.7%
실 17
 
5.7%
감 17
 
5.7%
화 6
 
2.0%
이 6
 
2.0%
영 4
 
1.4%
Other values (67) 101
34.1%
Uppercase Letter
ValueCountFrequency (%)
D 14
36.8%
V 7
18.4%
O 3
 
7.9%
M 3
 
7.9%
S 2
 
5.3%
B 2
 
5.3%
C 2
 
5.3%
N 2
 
5.3%
A 2
 
5.3%
X 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
1 2
40.0%
4 1
20.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 296
80.7%
Latin 38
 
10.4%
Common 33
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 38
 
12.8%
비 36
 
12.2%
오 34
 
11.5%
방 20
 
6.8%
상 17
 
5.7%
실 17
 
5.7%
감 17
 
5.7%
화 6
 
2.0%
이 6
 
2.0%
영 4
 
1.4%
Other values (67) 101
34.1%
Latin
ValueCountFrequency (%)
D 14
36.8%
V 7
18.4%
O 3
 
7.9%
M 3
 
7.9%
S 2
 
5.3%
B 2
 
5.3%
C 2
 
5.3%
N 2
 
5.3%
A 2
 
5.3%
X 1
 
2.6%
Common
ValueCountFrequency (%)
22
66.7%
) 3
 
9.1%
( 3
 
9.1%
2 2
 
6.1%
1 2
 
6.1%
4 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 296
80.7%
ASCII 71
 
19.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
디 38
 
12.8%
비 36
 
12.2%
오 34
 
11.5%
방 20
 
6.8%
상 17
 
5.7%
실 17
 
5.7%
감 17
 
5.7%
화 6
 
2.0%
이 6
 
2.0%
영 4
 
1.4%
Other values (67) 101
34.1%
ASCII
ValueCountFrequency (%)
22
31.0%
D 14
19.7%
V 7
 
9.9%
O 3
 
4.2%
M 3
 
4.2%
) 3
 
4.2%
( 3
 
4.2%
S 2
 
2.8%
B 2
 
2.8%
C 2
 
2.8%
Other values (6) 10
14.1%

최종수정일자
Date

Distinct38
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2003-04-18 11:31:33
Maximum2022-07-06 15:43:22
2024-05-11T08:32:25.804109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:32:26.236138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
I
43 
U
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 43
93.5%
U 3
 
6.5%

Length

2024-05-11T08:32:26.779399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:27.134175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 43
93.5%
u 3
 
6.5%

데이터갱신일자
Date

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2021-12-07 00:08:00
2024-05-11T08:32:27.404403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:32:27.761814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)97.6%
Missing4
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean201044.23
Minimum198358.54
Maximum204057.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T08:32:28.107578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198358.54
5-th percentile198545.76
Q1199640.03
median201205.63
Q3202152.14
95-th percentile203311.44
Maximum204057.97
Range5699.438
Interquartile range (IQR)2512.115

Descriptive statistics

Standard deviation1623.3745
Coefficient of variation (CV)0.0080747133
Kurtosis-0.98185002
Mean201044.23
Median Absolute Deviation (MAD)1020.8728
Skewness-0.085875263
Sum8443857.6
Variance2635344.7
MonotonicityNot monotonic
2024-05-11T08:32:28.506538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
201205.63015626 2
 
4.3%
202143.464864988 1
 
2.2%
199629.321360766 1
 
2.2%
202148.515493055 1
 
2.2%
202255.131792909 1
 
2.2%
200554.74395758 1
 
2.2%
200328.893756396 1
 
2.2%
198542.487418582 1
 
2.2%
202123.769148202 1
 
2.2%
198417.330210677 1
 
2.2%
Other values (31) 31
67.4%
(Missing) 4
 
8.7%
ValueCountFrequency (%)
198358.536839066 1
2.2%
198417.330210677 1
2.2%
198542.487418582 1
2.2%
198607.928387261 1
2.2%
198687.861893195 1
2.2%
198714.143762521 1
2.2%
198723.668750242 1
2.2%
199574.773278339 1
2.2%
199577.148061639 1
2.2%
199629.321360766 1
2.2%
ValueCountFrequency (%)
204057.974884412 1
2.2%
203919.075 1
2.2%
203311.510959821 1
2.2%
203310.177034603 1
2.2%
203304.685194895 1
2.2%
203079.119100267 1
2.2%
202255.131792909 1
2.2%
202238.2979163 1
2.2%
202214.708075013 1
2.2%
202185.159218347 1
2.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)97.6%
Missing4
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean443467.53
Minimum441176.13
Maximum445872.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T08:32:28.910300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441176.13
5-th percentile441677.61
Q1442384.58
median443548.85
Q3444295.56
95-th percentile444929.55
Maximum445872.93
Range4696.8054
Interquartile range (IQR)1910.9868

Descriptive statistics

Standard deviation1165.5443
Coefficient of variation (CV)0.0026282518
Kurtosis-0.86737627
Mean443467.53
Median Absolute Deviation (MAD)1018.9641
Skewness-0.0043756557
Sum18625636
Variance1358493.6
MonotonicityNot monotonic
2024-05-11T08:32:29.348929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
443398.137648916 2
 
4.3%
444322.92168619 1
 
2.2%
442233.431531171 1
 
2.2%
444226.637929707 1
 
2.2%
444026.067585724 1
 
2.2%
444811.364826199 1
 
2.2%
444916.909338499 1
 
2.2%
443859.359648325 1
 
2.2%
444374.640776733 1
 
2.2%
442812.280009518 1
 
2.2%
Other values (31) 31
67.4%
(Missing) 4
 
8.7%
ValueCountFrequency (%)
441176.12601532 1
2.2%
441488.5 1
2.2%
441651.560578965 1
2.2%
442172.617397099 1
2.2%
442195.048630285 1
2.2%
442231.961059155 1
2.2%
442233.431531171 1
2.2%
442238.259527328 1
2.2%
442297.856710243 1
2.2%
442310.86055246 1
2.2%
ValueCountFrequency (%)
445872.931385761 1
2.2%
445650.137597016 1
2.2%
444930.22 1
2.2%
444916.909338499 1
2.2%
444878.428106997 1
2.2%
444811.364826199 1
2.2%
444724.806885599 1
2.2%
444584.046692363 1
2.2%
444374.640776733 1
2.2%
444322.92168619 1
2.2%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
비디오물감상실업
45 
<NA>
 
1

Length

Max length8
Median length8
Mean length7.9130435
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 45
97.8%
<NA> 1
 
2.2%

Length

2024-05-11T08:32:29.980276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:30.313473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 45
97.8%
na 1
 
2.2%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
유통관련업
40 
<NA>
6 

Length

Max length5
Median length5
Mean length4.8695652
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 40
87.0%
<NA> 6
 
13.0%

Length

2024-05-11T08:32:30.688337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:31.005247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 40
87.0%
na 6
 
13.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)85.7%
Missing39
Missing (%)84.8%
Infinite0
Infinite (%)0.0%
Mean5
Minimum0
Maximum12
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T08:32:31.256234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9
Q13.5
median4
Q36
95-th percentile10.5
Maximum12
Range12
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation3.7416574
Coefficient of variation (CV)0.74833148
Kurtosis1.8857143
Mean5
Median Absolute Deviation (MAD)1
Skewness0.96214047
Sum35
Variance14
MonotonicityNot monotonic
2024-05-11T08:32:31.635731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 2
 
4.3%
0 1
 
2.2%
3 1
 
2.2%
12 1
 
2.2%
7 1
 
2.2%
5 1
 
2.2%
(Missing) 39
84.8%
ValueCountFrequency (%)
0 1
2.2%
3 1
2.2%
4 2
4.3%
5 1
2.2%
7 1
2.2%
12 1
2.2%
ValueCountFrequency (%)
12 1
2.2%
7 1
2.2%
5 1
2.2%
4 2
4.3%
3 1
2.2%
0 1
2.2%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing42
Missing (%)91.3%
Memory size500.0 B
2024-05-11T08:32:31.914192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.75
Min length2

Characters and Unicode

Total characters11
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row기타
2nd row기타
3rd row기타
4th row주택가주변
ValueCountFrequency (%)
기타 3
75.0%
주택가주변 1
 
25.0%
2024-05-11T08:32:32.549680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 3
27.3%
타 3
27.3%
주 2
18.2%
택 1
 
9.1%
가 1
 
9.1%
변 1
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3
27.3%
타 3
27.3%
주 2
18.2%
택 1
 
9.1%
가 1
 
9.1%
변 1
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3
27.3%
타 3
27.3%
주 2
18.2%
택 1
 
9.1%
가 1
 
9.1%
변 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 3
27.3%
타 3
27.3%
주 2
18.2%
택 1
 
9.1%
가 1
 
9.1%
변 1
 
9.1%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)36.4%
Missing24
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean51.425909
Minimum0
Maximum222.83
Zeros15
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T08:32:32.898189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3127.8
95-th percentile196.4125
Maximum222.83
Range222.83
Interquartile range (IQR)127.8

Descriptive statistics

Standard deviation79.564379
Coefficient of variation (CV)1.5471652
Kurtosis-0.57645603
Mean51.425909
Median Absolute Deviation (MAD)0
Skewness1.0644702
Sum1131.37
Variance6330.4903
MonotonicityNot monotonic
2024-05-11T08:32:33.187202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 15
32.6%
148.5 1
 
2.2%
129.15 1
 
2.2%
169.67 1
 
2.2%
197.82 1
 
2.2%
222.83 1
 
2.2%
139.65 1
 
2.2%
123.75 1
 
2.2%
(Missing) 24
52.2%
ValueCountFrequency (%)
0.0 15
32.6%
123.75 1
 
2.2%
129.15 1
 
2.2%
139.65 1
 
2.2%
148.5 1
 
2.2%
169.67 1
 
2.2%
197.82 1
 
2.2%
222.83 1
 
2.2%
ValueCountFrequency (%)
222.83 1
 
2.2%
197.82 1
 
2.2%
169.67 1
 
2.2%
148.5 1
 
2.2%
139.65 1
 
2.2%
129.15 1
 
2.2%
123.75 1
 
2.2%
0.0 15
32.6%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
40 
4
 
2
0
 
1
12
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.6304348
Min length1

Unique

Unique4 ?
Unique (%)8.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
87.0%
4 2
 
4.3%
0 1
 
2.2%
12 1
 
2.2%
6 1
 
2.2%
3 1
 
2.2%

Length

2024-05-11T08:32:33.490848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:33.776325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
87.0%
4 2
 
4.3%
0 1
 
2.2%
12 1
 
2.2%
6 1
 
2.2%
3 1
 
2.2%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
41 
0
 
2
1
 
2
3
 
1

Length

Max length4
Median length4
Mean length3.673913
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
89.1%
0 2
 
4.3%
1 2
 
4.3%
3 1
 
2.2%

Length

2024-05-11T08:32:34.093120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:34.352894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
89.1%
0 2
 
4.3%
1 2
 
4.3%
3 1
 
2.2%

건물용도명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
41 
근린생활시설
5 

Length

Max length6
Median length4
Mean length4.2173913
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> 41
89.1%
근린생활시설 5
 
10.9%

Length

2024-05-11T08:32:34.651667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:35.015379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
89.1%
근린생활시설 5
 
10.9%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비디오재생기명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
자동
25 
<NA>
21 

Length

Max length4
Median length2
Mean length2.9130435
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동 25
54.3%
<NA> 21
45.7%

Length

2024-05-11T08:32:35.388420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:32:35.685129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동 25
54.3%
na 21
45.7%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing43
Missing (%)93.5%
Memory size500.0 B
2024-05-11T08:32:35.953680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters18
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row일반상업지역
2nd row일반상업지역
3rd row일반주거지역
ValueCountFrequency (%)
일반상업지역 2
66.7%
일반주거지역 1
33.3%
2024-05-11T08:32:36.661898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 3
16.7%
반 3
16.7%
지 3
16.7%
역 3
16.7%
상 2
11.1%
업 2
11.1%
주 1
 
5.6%
거 1
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 3
16.7%
반 3
16.7%
지 3
16.7%
역 3
16.7%
상 2
11.1%
업 2
11.1%
주 1
 
5.6%
거 1
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 3
16.7%
반 3
16.7%
지 3
16.7%
역 3
16.7%
상 2
11.1%
업 2
11.1%
주 1
 
5.6%
거 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 3
16.7%
반 3
16.7%
지 3
16.7%
역 3
16.7%
상 2
11.1%
업 2
11.1%
주 1
 
5.6%
거 1
 
5.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFF124201199600000119960909<NA>3폐업3폐업20190107<NA><NA><NA>533-2078<NA>137908서울특별시 서초구 잠원동 69-5번지 지층 18,19,20 반포쇼핑타운5동서울특별시 서초구 신반포로 195 (잠원동,지층 18,19,20 반포쇼핑타운5동)<NA>반포비디오방2019-01-07 09:53:40U2019-01-09 02:40:00.0<NA>200395.885444930.22비디오물감상실업유통관련업<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>
13210000CDFF124201199600000219960909<NA>3폐업3폐업20040130<NA><NA><NA>564-1187<NA>137856서울특별시 서초구 서초동 1317-7번지서울특별시 서초구 서초대로77길 13 (서초동)<NA>아이맥스2004-06-21 12:00:57I2018-08-31 23:59:59.0<NA>202238.297916444070.290311비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23210000CDFF124201199600000319960909<NA>3폐업3폐업20000803<NA><NA><NA>536-8192<NA>137803서울특별시 서초구 반포동 58-9번지 서초빌딩 2층서울특별시 서초구 고무래로 12 (반포동,서초빌딩 2층)<NA>조인비디오방2003-04-18 11:31:33I2018-08-31 23:59:59.0<NA>200820.772494444584.046692비디오물감상실업유통관련업<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>
33210000CDFF124201199600000419960909<NA>3폐업3폐업20080602<NA><NA><NA>563-3301<NA>137856서울특별시 서초구 서초동 1307-20번지서울특별시 서초구 서초대로77길 25 (서초동)<NA>씨네21비디오감상실2008-06-02 15:54:11I2018-08-31 23:59:59.0<NA>202185.159218444189.105329비디오물감상실업유통관련업<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>
43210000CDFF124201199600000519960909<NA>3폐업3폐업20040722<NA><NA><NA>3481-4774<NA>137856서울특별시 서초구 서초동 1307-23번지 보성빌딩301호서울특별시 서초구 서초대로77길 19 (서초동,보성빌딩301호)<NA>벤허비디오감상실2004-07-27 10:23:23I2018-08-31 23:59:59.0<NA>202214.708075444131.257351비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53210000CDFF124201199600000619960909<NA>3폐업3폐업19990810<NA><NA><NA>3471-7099<NA>137842서울특별시 서초구 방배동 910-2번지서울특별시 서초구 효령로31길 38 (방배동)<NA>그린라이프 비디오방2003-04-18 11:31:33I2018-08-31 23:59:59.0<NA>199577.148062442297.85671비디오물감상실업유통관련업<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>
63210000CDFF124201199600000719960909<NA>3폐업3폐업20040910<NA><NA><NA>597-5980<NA>137842서울특별시 서초구 방배동 909-5번지서울특별시 서초구 효령로31길 14 (방배동)<NA>방배 비디오방2004-10-02 10:19:42I2018-08-31 23:59:59.0<NA>199639.860633442195.04863비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73210000CDFF124201199600000819960909<NA>3폐업3폐업20080822<NA><NA><NA>574-5048<NA>137887서울특별시 서초구 양재동 11-2번지 금정빌딩 302<NA><NA>큐빅입체비디오방2008-08-22 12:40:32I2018-08-31 23:59:59.0<NA>203079.1191442472.790157비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83210000CDFF124201199600000919960909<NA>3폐업3폐업20050830<NA><NA><NA>3461-2448<NA>137887서울특별시 서초구 양재동 11-43번지<NA><NA>명작비디오감상실2005-08-31 15:44:50I2018-08-31 23:59:59.0<NA><NA><NA>비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93210000CDFF124201199600001019960909<NA>3폐업3폐업20021128<NA><NA><NA>3471-7191<NA>137842서울특별시 서초구 방배동 910-8번지 4층서울특별시 서초구 방배로 89 (방배동,4층)<NA>투투비디오감상실2004-07-27 10:33:22I2018-08-31 23:59:59.0<NA>199643.692624442231.961059비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
363210000CDFF124201200100000220010629<NA>3폐업3폐업20041217<NA><NA><NA>592-6046<NA>137829서울특별시 서초구 방배동 778-25번지서울특별시 서초구 방배중앙로 155 (방배동)<NA>COM(컴)비디오방2005-11-30 17:46:17I2018-08-31 23:59:59.0<NA>198714.143763443426.487689비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373210000CDFF124201200100000320011211<NA>4취소/말소/만료/정지/중지35직권말소20080407<NA><NA><NA>542-6557<NA>137810서울특별시 서초구 반포동 748-12번지서울특별시 서초구 강남대로 475 (반포동)<NA>BOOM DVD 영화방2003-04-18 11:31:33I2018-08-31 23:59:59.0<NA>202037.793624444724.806886비디오물감상실업유통관련업<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>
383210000CDFF124201200200000120020329<NA>3폐업3폐업20090810<NA><NA><NA>573-5792<NA>137887서울특별시 서초구 양재동 11-41번지 3층<NA><NA>MAX DVD(맥스 디브이디 영화감상실)2009-08-10 17:25:58I2018-08-31 23:59:59.0<NA><NA><NA>비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393210000CDFF124201200200000220021213<NA>3폐업3폐업20080520<NA><NA><NA>6414-8825<NA>137842서울특별시 서초구 방배동 909-11번지 4층서울특별시 서초구 효령로31길 10 (방배동,4층)<NA>칸느212008-05-20 13:41:28I2018-08-31 23:59:59.0<NA>199640.528188442172.617397비디오물감상실업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403210000CDFF124201200400000120041111<NA>3폐업3폐업20110520<NA><NA><NA><NA><NA>137829서울특별시 서초구 방배동 769-24번지 3층서울특별시 서초구 방배중앙로 168 (방배동,3층)<NA>돈 DVD영화관2011-05-20 16:25:10I2018-08-31 23:59:59.0<NA>198723.66875443552.067631비디오물감상실업유통관련업3기타<NA>129.15<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413210000CDFF124201200500000120050610<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1308-10번지 서초동월드상가8층 802호서울특별시 서초구 서초대로77길 37, 802호 (서초동, 서초동월드)6612A DVD방2016-07-06 17:01:02I2018-08-31 23:59:59.0<NA>202148.84233444308.829109비디오물감상실업<NA>12기타<NA>169.67123근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
423210000CDFF124201200500000220051115<NA>3폐업3폐업20051219<NA><NA><NA><NA><NA>137876서울특별시 서초구 서초동 1593-1번지서울특별시 서초구 반포대로18길 40 (서초동)<NA>서초비디오감상실2006-08-30 09:52:15I2018-08-31 23:59:59.0<NA>201034.634465442758.77038비디오물감상실업유통관련업<NA>기타<NA>197.82<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
433210000CDFF124201201000000120100408<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 방배동 445-5번지 6층서울특별시 서초구 방배천로 5-3 (방배동,6층)<NA>무비겔러리2019-05-29 10:43:28U2019-05-31 02:40:00.0<NA>198358.536839441651.560579비디오물감상실업<NA>7<NA><NA>222.836<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443210000CDFF124201201400000120140618<NA>1영업/정상13영업중<NA><NA><NA><NA>02-585-3811<NA><NA>서울특별시 서초구 서초동 1579-9번지 B02호서울특별시 서초구 사임당로 33, B02호 (서초동)6650DVD시네마서초2014-06-18 14:08:57I2018-08-31 23:59:59.0<NA>201137.110518442911.819287비디오물감상실업<NA>5주택가주변<NA>139.6541근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
453210000CDFF124201201400000220140714<NA>3폐업3폐업20171031<NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 1657-8번지서울특별시 서초구 서초대로52길 22 (서초동)6634DVD시네마2017-10-31 12:08:55I2018-08-31 23:59:59.0<NA>201205.630156443398.137649비디오물감상실업<NA>4<NA><NA>123.7531근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>