Overview

Dataset statistics

Number of variables56
Number of observations101
Missing cells2691
Missing cells (%)47.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.3 KiB
Average record size in memory489.3 B

Variable types

Categorical17
Text5
Numeric7
Unsupported26
DateTime1

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
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-17287/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
도로명우편번호 is highly imbalanced (84.6%)Imbalance
데이터갱신구분 is highly imbalanced (76.0%)Imbalance
데이터갱신일자 is highly imbalanced (86.2%)Imbalance
비디오재생기명 is highly imbalanced (63.7%)Imbalance
인허가취소일자 has 101 (100.0%) missing valuesMissing
폐업일자 has 4 (4.0%) missing valuesMissing
휴업시작일자 has 101 (100.0%) missing valuesMissing
휴업종료일자 has 101 (100.0%) missing valuesMissing
재개업일자 has 101 (100.0%) missing valuesMissing
전화번호 has 14 (13.9%) missing valuesMissing
소재지면적 has 101 (100.0%) missing valuesMissing
소재지우편번호 has 27 (26.7%) missing valuesMissing
도로명주소 has 3 (3.0%) missing valuesMissing
업태구분명 has 101 (100.0%) missing valuesMissing
좌표정보(X) has 2 (2.0%) missing valuesMissing
좌표정보(Y) has 2 (2.0%) missing valuesMissing
총층수 has 9 (8.9%) missing valuesMissing
제작취급품목내용 has 101 (100.0%) missing valuesMissing
시설면적 has 4 (4.0%) missing valuesMissing
조명시설조도 has 101 (100.0%) missing valuesMissing
노래방실수 has 101 (100.0%) missing valuesMissing
청소년실수 has 101 (100.0%) missing valuesMissing
비상계단여부 has 101 (100.0%) missing valuesMissing
비상구여부 has 101 (100.0%) missing valuesMissing
자동환기여부 has 101 (100.0%) missing valuesMissing
청소년실여부 has 101 (100.0%) missing valuesMissing
특수조명여부 has 101 (100.0%) missing valuesMissing
방음시설여부 has 101 (100.0%) missing valuesMissing
조명시설유무 has 101 (100.0%) missing valuesMissing
음향시설여부 has 101 (100.0%) missing valuesMissing
편의시설여부 has 101 (100.0%) missing valuesMissing
소방시설여부 has 101 (100.0%) missing valuesMissing
총게임기수 has 101 (100.0%) missing valuesMissing
기존게임업외업종명 has 101 (100.0%) missing valuesMissing
제공게임물명 has 101 (100.0%) missing valuesMissing
공연장형태구분명 has 101 (100.0%) missing valuesMissing
품목명 has 101 (100.0%) missing valuesMissing
최초등록시점 has 101 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 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

Reproduction

Analysis started2024-04-06 12:59:41.894400
Analysis finished2024-04-06 12:59:42.717057
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
3200000
101 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 101
100.0%

Length

2024-04-06T21:59:42.843902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:43.008981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 101
100.0%

관리번호
Text

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-04-06T21:59:43.298617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2020
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

Unique101 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000002
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011996000001 1
 
1.0%
cdff1242012001000001 1
 
1.0%
cdff1242012002000016 1
 
1.0%
cdff1242012002000015 1
 
1.0%
cdff1242012002000014 1
 
1.0%
cdff1242012002000013 1
 
1.0%
cdff1242012002000012 1
 
1.0%
cdff1242012002000011 1
 
1.0%
cdff1242012002000010 1
 
1.0%
cdff1242012002000009 1
 
1.0%
Other values (91) 91
90.1%
2024-04-06T21:59:43.944530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 674
33.4%
2 309
15.3%
1 297
14.7%
F 202
 
10.0%
4 116
 
5.7%
9 111
 
5.5%
C 101
 
5.0%
D 101
 
5.0%
6 46
 
2.3%
3 27
 
1.3%
Other values (3) 36
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1616
80.0%
Uppercase Letter 404
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 674
41.7%
2 309
19.1%
1 297
18.4%
4 116
 
7.2%
9 111
 
6.9%
6 46
 
2.8%
3 27
 
1.7%
7 13
 
0.8%
5 12
 
0.7%
8 11
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 202
50.0%
C 101
25.0%
D 101
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1616
80.0%
Latin 404
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 674
41.7%
2 309
19.1%
1 297
18.4%
4 116
 
7.2%
9 111
 
6.9%
6 46
 
2.8%
3 27
 
1.7%
7 13
 
0.8%
5 12
 
0.7%
8 11
 
0.7%
Latin
ValueCountFrequency (%)
F 202
50.0%
C 101
25.0%
D 101
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 674
33.4%
2 309
15.3%
1 297
14.7%
F 202
 
10.0%
4 116
 
5.7%
9 111
 
5.5%
C 101
 
5.0%
D 101
 
5.0%
6 46
 
2.3%
3 27
 
1.3%
Other values (3) 36
 
1.8%

인허가일자
Real number (ℝ)

Distinct76
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19999233
Minimum19960602
Maximum20100524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-06T21:59:44.244144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960602
5-th percentile19960904
Q119960911
median20000902
Q320021002
95-th percentile20080421
Maximum20100524
Range139922
Interquartile range (IQR)60091

Descriptive statistics

Standard deviation36840.62
Coefficient of variation (CV)0.0018421016
Kurtosis-0.35619235
Mean19999233
Median Absolute Deviation (MAD)30210
Skewness0.59803345
Sum2.0199226 × 109
Variance1.3572312 × 109
MonotonicityNot monotonic
2024-04-06T21:59:44.554478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19960909 16
 
15.8%
19960903 3
 
3.0%
19960918 2
 
2.0%
19971107 2
 
2.0%
19960907 2
 
2.0%
19960911 2
 
2.0%
19960904 2
 
2.0%
19960919 2
 
2.0%
19990716 2
 
2.0%
20020605 2
 
2.0%
Other values (66) 66
65.3%
ValueCountFrequency (%)
19960602 1
 
1.0%
19960731 1
 
1.0%
19960903 3
 
3.0%
19960904 2
 
2.0%
19960907 2
 
2.0%
19960909 16
15.8%
19960911 2
 
2.0%
19960912 1
 
1.0%
19960916 1
 
1.0%
19960918 2
 
2.0%
ValueCountFrequency (%)
20100524 1
1.0%
20080925 1
1.0%
20080916 1
1.0%
20080910 1
1.0%
20080513 1
1.0%
20080421 1
1.0%
20070124 1
1.0%
20061114 1
1.0%
20050711 1
1.0%
20041021 1
1.0%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
3
79 
4
18 
1
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 79
78.2%
4 18
 
17.8%
1 4
 
4.0%

Length

2024-04-06T21:59:44.805964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:44.997635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 79
78.2%
4 18
 
17.8%
1 4
 
4.0%

영업상태명
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
폐업
79 
취소/말소/만료/정지/중지
18 
영업/정상
 
4

Length

Max length14
Median length2
Mean length4.2574257
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 79
78.2%
취소/말소/만료/정지/중지 18
 
17.8%
영업/정상 4
 
4.0%

Length

2024-04-06T21:59:45.215451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:45.409009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 79
78.2%
취소/말소/만료/정지/중지 18
 
17.8%
영업/정상 4
 
4.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
3
79 
35
18 
13
 
4

Length

Max length2
Median length1
Mean length1.2178218
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 79
78.2%
35 18
 
17.8%
13 4
 
4.0%

Length

2024-04-06T21:59:45.638252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:45.841976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 79
78.2%
35 18
 
17.8%
13 4
 
4.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
폐업
79 
직권말소
18 
영업중
 
4

Length

Max length4
Median length2
Mean length2.3960396
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 79
78.2%
직권말소 18
 
17.8%
영업중 4
 
4.0%

Length

2024-04-06T21:59:46.057823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:46.262817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 79
78.2%
직권말소 18
 
17.8%
영업중 4
 
4.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)80.4%
Missing4
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean20082099
Minimum20020228
Maximum20211213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-06T21:59:46.480629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20020228
5-th percentile20028973
Q120050916
median20070906
Q320100514
95-th percentile20170936
Maximum20211213
Range190985
Interquartile range (IQR)49598

Descriptive statistics

Standard deviation41622.36
Coefficient of variation (CV)0.00207261
Kurtosis0.98770307
Mean20082099
Median Absolute Deviation (MAD)20198
Skewness1.1045552
Sum1.9479636 × 109
Variance1.7324209 × 109
MonotonicityNot monotonic
2024-04-06T21:59:46.822693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080716 6
 
5.9%
20080731 5
 
5.0%
20131008 4
 
4.0%
20120316 3
 
3.0%
20070906 2
 
2.0%
20061228 2
 
2.0%
20080220 2
 
2.0%
20070409 2
 
2.0%
20040331 2
 
2.0%
20090901 1
 
1.0%
Other values (68) 68
67.3%
(Missing) 4
 
4.0%
ValueCountFrequency (%)
20020228 1
1.0%
20020304 1
1.0%
20020725 1
1.0%
20020726 1
1.0%
20020827 1
1.0%
20031009 1
1.0%
20040302 1
1.0%
20040303 1
1.0%
20040324 1
1.0%
20040331 2
2.0%
ValueCountFrequency (%)
20211213 1
1.0%
20200320 1
1.0%
20190910 1
1.0%
20180209 1
1.0%
20171030 1
1.0%
20170912 1
1.0%
20170110 1
1.0%
20150618 1
1.0%
20141224 1
1.0%
20141128 1
1.0%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

전화번호
Text

MISSING 

Distinct86
Distinct (%)98.9%
Missing14
Missing (%)13.9%
Memory size940.0 B
2024-04-06T21:59:47.341998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length8
Mean length8.1609195
Min length8

Characters and Unicode

Total characters710
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)97.7%

Sample

1st row873-2988
2nd row884-8242
3rd row878-4432
4th row888-3511
5th row525-0409
ValueCountFrequency (%)
3486-1439 2
 
2.3%
875-2808 1
 
1.1%
884-2753 1
 
1.1%
871-0843 1
 
1.1%
888-4601 1
 
1.1%
874-1638 1
 
1.1%
888-9922 1
 
1.1%
875-4484 1
 
1.1%
588-1228 1
 
1.1%
882-5115 1
 
1.1%
Other values (76) 76
87.4%
2024-04-06T21:59:48.081915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 162
22.8%
7 95
13.4%
- 89
12.5%
5 55
 
7.7%
4 52
 
7.3%
0 50
 
7.0%
6 48
 
6.8%
3 43
 
6.1%
2 40
 
5.6%
1 38
 
5.4%
Other values (2) 38
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 620
87.3%
Dash Punctuation 89
 
12.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 162
26.1%
7 95
15.3%
5 55
 
8.9%
4 52
 
8.4%
0 50
 
8.1%
6 48
 
7.7%
3 43
 
6.9%
2 40
 
6.5%
1 38
 
6.1%
9 37
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 710
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 162
22.8%
7 95
13.4%
- 89
12.5%
5 55
 
7.7%
4 52
 
7.3%
0 50
 
7.0%
6 48
 
6.8%
3 43
 
6.1%
2 40
 
5.6%
1 38
 
5.4%
Other values (2) 38
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 162
22.8%
7 95
13.4%
- 89
12.5%
5 55
 
7.7%
4 52
 
7.3%
0 50
 
7.0%
6 48
 
6.8%
3 43
 
6.1%
2 40
 
5.6%
1 38
 
5.4%
Other values (2) 38
 
5.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)31.1%
Missing27
Missing (%)26.7%
Infinite0
Infinite (%)0.0%
Mean151833.58
Minimum151015
Maximum151930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-06T21:59:48.363203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum151015
5-th percentile151548
Q1151858
median151895
Q3151895.75
95-th percentile151930
Maximum151930
Range915
Interquartile range (IQR)37.75

Descriptive statistics

Standard deviation196.19553
Coefficient of variation (CV)0.0012921748
Kurtosis13.643717
Mean151833.58
Median Absolute Deviation (MAD)35
Skewness-3.8342364
Sum11235685
Variance38492.685
MonotonicityNot monotonic
2024-04-06T21:59:48.537816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
151895 19
18.8%
151930 10
 
9.9%
151859 6
 
5.9%
151897 5
 
5.0%
151800 4
 
4.0%
151858 4
 
4.0%
151892 3
 
3.0%
151015 3
 
3.0%
151860 3
 
3.0%
151835 2
 
2.0%
Other values (13) 15
14.9%
(Missing) 27
26.7%
ValueCountFrequency (%)
151015 3
3.0%
151080 1
 
1.0%
151800 4
4.0%
151818 1
 
1.0%
151830 1
 
1.0%
151832 1
 
1.0%
151834 1
 
1.0%
151835 2
2.0%
151836 2
2.0%
151848 1
 
1.0%
ValueCountFrequency (%)
151930 10
9.9%
151903 2
 
2.0%
151899 1
 
1.0%
151897 5
 
5.0%
151896 1
 
1.0%
151895 19
18.8%
151894 1
 
1.0%
151892 3
 
3.0%
151873 1
 
1.0%
151860 3
 
3.0%

지번주소
Text

Distinct99
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-04-06T21:59:48.998138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length38
Mean length23.970297
Min length21

Characters and Unicode

Total characters2421
Distinct characters42
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)96.0%

Sample

1st row서울특별시 관악구 봉천동 875-7번지
2nd row서울특별시 관악구 봉천동 1598-20번지
3rd row서울특별시 관악구 봉천동 857-2번지
4th row서울특별시 관악구 봉천동 1657-24번지
5th row서울특별시 관악구 남현동 1060-2번지
ValueCountFrequency (%)
서울특별시 101
24.0%
관악구 101
24.0%
신림동 81
19.2%
봉천동 12
 
2.9%
남현동 8
 
1.9%
2층 2
 
0.5%
3층(관악구 2
 
0.5%
6 2
 
0.5%
3층 2
 
0.5%
1061-22번지 2
 
0.5%
Other values (106) 108
25.7%
2024-04-06T21:59:49.838125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
421
17.4%
1 150
 
6.2%
구 104
 
4.3%
관 104
 
4.3%
악 104
 
4.3%
지 102
 
4.2%
울 101
 
4.2%
동 101
 
4.2%
서 101
 
4.2%
시 101
 
4.2%
Other values (32) 1032
42.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1345
55.6%
Decimal Number 552
22.8%
Space Separator 421
 
17.4%
Dash Punctuation 97
 
4.0%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 104
 
7.7%
관 104
 
7.7%
악 104
 
7.7%
지 102
 
7.6%
울 101
 
7.5%
동 101
 
7.5%
서 101
 
7.5%
시 101
 
7.5%
별 101
 
7.5%
특 101
 
7.5%
Other values (18) 325
24.2%
Decimal Number
ValueCountFrequency (%)
1 150
27.2%
5 74
13.4%
2 65
11.8%
6 61
11.1%
3 57
 
10.3%
4 47
 
8.5%
8 29
 
5.3%
9 24
 
4.3%
7 23
 
4.2%
0 22
 
4.0%
Space Separator
ValueCountFrequency (%)
421
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1345
55.6%
Common 1076
44.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 104
 
7.7%
관 104
 
7.7%
악 104
 
7.7%
지 102
 
7.6%
울 101
 
7.5%
동 101
 
7.5%
서 101
 
7.5%
시 101
 
7.5%
별 101
 
7.5%
특 101
 
7.5%
Other values (18) 325
24.2%
Common
ValueCountFrequency (%)
421
39.1%
1 150
 
13.9%
- 97
 
9.0%
5 74
 
6.9%
2 65
 
6.0%
6 61
 
5.7%
3 57
 
5.3%
4 47
 
4.4%
8 29
 
2.7%
9 24
 
2.2%
Other values (4) 51
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1345
55.6%
ASCII 1076
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
421
39.1%
1 150
 
13.9%
- 97
 
9.0%
5 74
 
6.9%
2 65
 
6.0%
6 61
 
5.7%
3 57
 
5.3%
4 47
 
4.4%
8 29
 
2.7%
9 24
 
2.2%
Other values (4) 51
 
4.7%
Hangul
ValueCountFrequency (%)
구 104
 
7.7%
관 104
 
7.7%
악 104
 
7.7%
지 102
 
7.6%
울 101
 
7.5%
동 101
 
7.5%
서 101
 
7.5%
시 101
 
7.5%
별 101
 
7.5%
특 101
 
7.5%
Other values (18) 325
24.2%

도로명주소
Text

MISSING 

Distinct97
Distinct (%)99.0%
Missing3
Missing (%)3.0%
Memory size940.0 B
2024-04-06T21:59:50.366587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length26.193878
Min length22

Characters and Unicode

Total characters2567
Distinct characters64
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)98.0%

Sample

1st row서울특별시 관악구 남부순환로 1794 (봉천동)
2nd row서울특별시 관악구 관악로 148 (봉천동)
3rd row서울특별시 관악구 남부순환로224길 4 (봉천동)
4th row서울특별시 관악구 남부순환로 1952 (봉천동)
5th row서울특별시 관악구 남현1길 47 (남현동)
ValueCountFrequency (%)
서울특별시 98
19.6%
관악구 98
19.6%
신림동 74
14.8%
봉천동 12
 
2.4%
남부순환로 12
 
2.4%
호암로22길 10
 
2.0%
대학길 9
 
1.8%
6 7
 
1.4%
신림로 7
 
1.4%
관악로 5
 
1.0%
Other values (118) 169
33.7%
2024-04-06T21:59:51.180446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
483
18.8%
관 106
 
4.1%
악 106
 
4.1%
시 104
 
4.1%
신 101
 
3.9%
( 101
 
3.9%
구 101
 
3.9%
) 101
 
3.9%
림 99
 
3.9%
울 98
 
3.8%
Other values (54) 1167
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1504
58.6%
Space Separator 483
 
18.8%
Decimal Number 355
 
13.8%
Open Punctuation 101
 
3.9%
Close Punctuation 101
 
3.9%
Other Punctuation 12
 
0.5%
Dash Punctuation 11
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 106
 
7.0%
악 106
 
7.0%
시 104
 
6.9%
신 101
 
6.7%
구 101
 
6.7%
림 99
 
6.6%
울 98
 
6.5%
서 98
 
6.5%
별 98
 
6.5%
특 98
 
6.5%
Other values (39) 495
32.9%
Decimal Number
ValueCountFrequency (%)
1 69
19.4%
2 59
16.6%
5 42
11.8%
6 38
10.7%
4 36
10.1%
3 28
7.9%
7 26
 
7.3%
9 25
 
7.0%
0 20
 
5.6%
8 12
 
3.4%
Space Separator
ValueCountFrequency (%)
483
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1504
58.6%
Common 1063
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 106
 
7.0%
악 106
 
7.0%
시 104
 
6.9%
신 101
 
6.7%
구 101
 
6.7%
림 99
 
6.6%
울 98
 
6.5%
서 98
 
6.5%
별 98
 
6.5%
특 98
 
6.5%
Other values (39) 495
32.9%
Common
ValueCountFrequency (%)
483
45.4%
( 101
 
9.5%
) 101
 
9.5%
1 69
 
6.5%
2 59
 
5.6%
5 42
 
4.0%
6 38
 
3.6%
4 36
 
3.4%
3 28
 
2.6%
7 26
 
2.4%
Other values (5) 80
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1504
58.6%
ASCII 1063
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
483
45.4%
( 101
 
9.5%
) 101
 
9.5%
1 69
 
6.5%
2 59
 
5.6%
5 42
 
4.0%
6 38
 
3.6%
4 36
 
3.4%
3 28
 
2.6%
7 26
 
2.4%
Other values (5) 80
 
7.5%
Hangul
ValueCountFrequency (%)
관 106
 
7.0%
악 106
 
7.0%
시 104
 
6.9%
신 101
 
6.7%
구 101
 
6.7%
림 99
 
6.6%
울 98
 
6.5%
서 98
 
6.5%
별 98
 
6.5%
특 98
 
6.5%
Other values (39) 495
32.9%

도로명우편번호
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
<NA>
96 
8759
 
1
8813
 
1
8787
 
1
151846
 
1

Length

Max length6
Median length4
Mean length4.019802
Min length4

Unique

Unique5 ?
Unique (%)5.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
95.0%
8759 1
 
1.0%
8813 1
 
1.0%
8787 1
 
1.0%
151846 1
 
1.0%
8769 1
 
1.0%

Length

2024-04-06T21:59:51.457497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:51.701531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
95.0%
8759 1
 
1.0%
8813 1
 
1.0%
8787 1
 
1.0%
151846 1
 
1.0%
8769 1
 
1.0%

사업장명
Text

Distinct89
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size940.0 B
2024-04-06T21:59:52.161057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length4.8316832
Min length2

Characters and Unicode

Total characters488
Distinct characters147
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

Unique82 ?
Unique (%)81.2%

Sample

1st row하바드
2nd row서울
3rd row아트
4th row세바
5th row자유
ValueCountFrequency (%)
dvd 7
 
5.8%
월드 4
 
3.3%
시네마 4
 
3.3%
아이맥스 3
 
2.5%
dvd영화관 3
 
2.5%
아카데미 3
 
2.5%
see 2
 
1.7%
영화관 2
 
1.7%
블루 2
 
1.7%
채플린 2
 
1.7%
Other values (88) 89
73.6%
2024-04-06T21:59:52.895940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
D 58
 
11.9%
V 30
 
6.1%
영 22
 
4.5%
화 21
 
4.3%
20
 
4.1%
스 16
 
3.3%
이 14
 
2.9%
관 14
 
2.9%
네 12
 
2.5%
시 11
 
2.3%
Other values (137) 270
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 336
68.9%
Uppercase Letter 105
 
21.5%
Space Separator 20
 
4.1%
Lowercase Letter 13
 
2.7%
Decimal Number 13
 
2.7%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 22
 
6.5%
화 21
 
6.2%
스 16
 
4.8%
이 14
 
4.2%
관 14
 
4.2%
네 12
 
3.6%
시 11
 
3.3%
아 10
 
3.0%
마 9
 
2.7%
드 8
 
2.4%
Other values (108) 199
59.2%
Uppercase Letter
ValueCountFrequency (%)
D 58
55.2%
V 30
28.6%
S 3
 
2.9%
O 3
 
2.9%
N 2
 
1.9%
K 2
 
1.9%
C 2
 
1.9%
R 1
 
1.0%
E 1
 
1.0%
Z 1
 
1.0%
Other values (2) 2
 
1.9%
Decimal Number
ValueCountFrequency (%)
2 4
30.8%
0 2
15.4%
1 2
15.4%
4 1
 
7.7%
8 1
 
7.7%
7 1
 
7.7%
5 1
 
7.7%
6 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
53.8%
i 1
 
7.7%
d 1
 
7.7%
r 1
 
7.7%
n 1
 
7.7%
o 1
 
7.7%
h 1
 
7.7%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 336
68.9%
Latin 118
 
24.2%
Common 34
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 22
 
6.5%
화 21
 
6.2%
스 16
 
4.8%
이 14
 
4.2%
관 14
 
4.2%
네 12
 
3.6%
시 11
 
3.3%
아 10
 
3.0%
마 9
 
2.7%
드 8
 
2.4%
Other values (108) 199
59.2%
Latin
ValueCountFrequency (%)
D 58
49.2%
V 30
25.4%
e 7
 
5.9%
S 3
 
2.5%
O 3
 
2.5%
N 2
 
1.7%
K 2
 
1.7%
C 2
 
1.7%
i 1
 
0.8%
R 1
 
0.8%
Other values (9) 9
 
7.6%
Common
ValueCountFrequency (%)
20
58.8%
2 4
 
11.8%
0 2
 
5.9%
1 2
 
5.9%
4 1
 
2.9%
& 1
 
2.9%
8 1
 
2.9%
7 1
 
2.9%
5 1
 
2.9%
6 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 336
68.9%
ASCII 152
31.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
D 58
38.2%
V 30
19.7%
20
 
13.2%
e 7
 
4.6%
2 4
 
2.6%
S 3
 
2.0%
O 3
 
2.0%
0 2
 
1.3%
N 2
 
1.3%
K 2
 
1.3%
Other values (19) 21
 
13.8%
Hangul
ValueCountFrequency (%)
영 22
 
6.5%
화 21
 
6.2%
스 16
 
4.8%
이 14
 
4.2%
관 14
 
4.2%
네 12
 
3.6%
시 11
 
3.3%
아 10
 
3.0%
마 9
 
2.7%
드 8
 
2.4%
Other values (108) 199
59.2%

최종수정일자
Date

UNIQUE 

Distinct101
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
Minimum2003-02-17 10:55:41
Maximum2021-12-14 16:12:05
2024-04-06T21:59:53.144911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:59:53.407669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
I
97 
U
 
4

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 97
96.0%
U 4
 
4.0%

Length

2024-04-06T21:59:53.648671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:53.837861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 97
96.0%
u 4
 
4.0%

데이터갱신일자
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
2018-08-31 23:59:59.0
97 
2019-07-17 02:40:00.0
 
1
2021-12-16 02:40:00.0
 
1
2020-03-22 02:40:00.0
 
1
2019-09-12 02:40:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique4 ?
Unique (%)4.0%

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 97
96.0%
2019-07-17 02:40:00.0 1
 
1.0%
2021-12-16 02:40:00.0 1
 
1.0%
2020-03-22 02:40:00.0 1
 
1.0%
2019-09-12 02:40:00.0 1
 
1.0%

Length

2024-04-06T21:59:54.070765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:54.631795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 97
48.0%
23:59:59.0 97
48.0%
02:40:00.0 4
 
2.0%
2019-07-17 1
 
0.5%
2021-12-16 1
 
0.5%
2020-03-22 1
 
0.5%
2019-09-12 1
 
0.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)97.0%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean194312.37
Minimum191244.19
Maximum198284.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-06T21:59:54.913792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191244.19
5-th percentile191323.78
Q1193646.56
median194287.79
Q3194469.66
95-th percentile198215.73
Maximum198284.49
Range7040.3004
Interquartile range (IQR)823.10368

Descriptive statistics

Standard deviation1510.6734
Coefficient of variation (CV)0.0077744579
Kurtosis1.9221973
Mean194312.37
Median Absolute Deviation (MAD)571.65587
Skewness0.7678078
Sum19236925
Variance2282134
MonotonicityNot monotonic
2024-04-06T21:59:55.190279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193577.478087521 2
 
2.0%
193646.560679034 2
 
2.0%
198284.487350496 2
 
2.0%
194310.617185103 1
 
1.0%
193540.457686752 1
 
1.0%
194429.643353613 1
 
1.0%
193664.377571808 1
 
1.0%
194444.828883046 1
 
1.0%
194437.251570106 1
 
1.0%
194408.140904527 1
 
1.0%
Other values (86) 86
85.1%
(Missing) 2
 
2.0%
ValueCountFrequency (%)
191244.186952943 1
1.0%
191264.654358325 1
1.0%
191278.82541331 1
1.0%
191288.170481488 1
1.0%
191298.923231156 1
1.0%
191326.542622821 1
1.0%
191431.385585212 1
1.0%
192317.743639315 1
1.0%
192356.455817365 1
1.0%
192444.755614505 1
1.0%
ValueCountFrequency (%)
198284.487350496 2
2.0%
198280.308333613 1
1.0%
198276.67716302 1
1.0%
198274.871752809 1
1.0%
198209.153690741 1
1.0%
198172.998854713 1
1.0%
196892.414715366 1
1.0%
196347.890512479 1
1.0%
195844.387823458 1
1.0%
195789.12194343 1
1.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)97.0%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean441546.84
Minimum440465.31
Maximum443221.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-06T21:59:55.454622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440465.31
5-th percentile440648.48
Q1440778.57
median441466.91
Q3442349.45
95-th percentile442700.72
Maximum443221.32
Range2756.0123
Interquartile range (IQR)1570.8784

Descriptive statistics

Standard deviation794.06292
Coefficient of variation (CV)0.0017983662
Kurtosis-1.5454231
Mean441546.84
Median Absolute Deviation (MAD)737.55096
Skewness0.22317182
Sum43713138
Variance630535.92
MonotonicityNot monotonic
2024-04-06T21:59:55.763871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442385.22261746 2
 
2.0%
442722.612162982 2
 
2.0%
441422.54753911 2
 
2.0%
440726.345566578 1
 
1.0%
442393.833791186 1
 
1.0%
440716.424900258 1
 
1.0%
442287.130270576 1
 
1.0%
440751.866220794 1
 
1.0%
440799.559013964 1
 
1.0%
440775.182351578 1
 
1.0%
Other values (86) 86
85.1%
(Missing) 2
 
2.0%
ValueCountFrequency (%)
440465.308720064 1
1.0%
440502.507843484 1
1.0%
440569.673621646 1
1.0%
440602.043958183 1
1.0%
440606.434075036 1
1.0%
440653.156260382 1
1.0%
440685.911628121 1
1.0%
440694.192006341 1
1.0%
440698.444186102 1
1.0%
440700.359694836 1
1.0%
ValueCountFrequency (%)
443221.321009043 1
1.0%
443107.755379371 1
1.0%
442775.501498729 1
1.0%
442722.612162982 2
2.0%
442698.285576063 1
1.0%
442680.965490408 1
1.0%
442621.679865443 1
1.0%
442552.376302214 1
1.0%
442470.548427476 1
1.0%
442463.858277668 1
1.0%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
비디오물감상실업
101 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 101
100.0%

Length

2024-04-06T21:59:56.040728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:56.319827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 101
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
유통관련업
79 
<NA>
22 

Length

Max length5
Median length5
Mean length4.7821782
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 79
78.2%
<NA> 22
 
21.8%

Length

2024-04-06T21:59:56.510273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:56.680708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 79
78.2%
na 22
 
21.8%

총층수
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)8.7%
Missing9
Missing (%)8.9%
Infinite0
Infinite (%)0.0%
Mean3.8478261
Minimum2
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-06T21:59:56.864342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.55
Q13
median3
Q34
95-th percentile5
Maximum33
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.217175
Coefficient of variation (CV)0.83610198
Kurtosis76.091928
Mean3.8478261
Median Absolute Deviation (MAD)0
Skewness8.3785122
Sum354
Variance10.350215
MonotonicityNot monotonic
2024-04-06T21:59:57.094595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 48
47.5%
4 29
28.7%
5 6
 
5.9%
2 5
 
5.0%
33 1
 
1.0%
6 1
 
1.0%
8 1
 
1.0%
7 1
 
1.0%
(Missing) 9
 
8.9%
ValueCountFrequency (%)
2 5
 
5.0%
3 48
47.5%
4 29
28.7%
5 6
 
5.9%
6 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
33 1
 
1.0%
ValueCountFrequency (%)
33 1
 
1.0%
8 1
 
1.0%
7 1
 
1.0%
6 1
 
1.0%
5 6
 
5.9%
4 29
28.7%
3 48
47.5%
2 5
 
5.0%

주변환경명
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
기타
70 
유흥업소밀집지역
15 
<NA>
13 
학교정화(상대)
 
3

Length

Max length8
Median length2
Mean length3.3267327
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 70
69.3%
유흥업소밀집지역 15
 
14.9%
<NA> 13
 
12.9%
학교정화(상대) 3
 
3.0%

Length

2024-04-06T21:59:57.341609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:57.578566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 70
69.3%
유흥업소밀집지역 15
 
14.9%
na 13
 
12.9%
학교정화(상대 3
 
3.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

시설면적
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)75.3%
Missing4
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean129.72629
Minimum57
Maximum251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-06T21:59:57.812702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57
5-th percentile70
Q195
median130
Q3161
95-th percentile195.86
Maximum251
Range194
Interquartile range (IQR)66

Descriptive statistics

Standard deviation43.831139
Coefficient of variation (CV)0.33787399
Kurtosis-0.39899963
Mean129.72629
Median Absolute Deviation (MAD)32
Skewness0.42922047
Sum12583.45
Variance1921.1688
MonotonicityNot monotonic
2024-04-06T21:59:58.101932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
161.0 3
 
3.0%
134.0 3
 
3.0%
165.0 3
 
3.0%
115.0 3
 
3.0%
100.0 2
 
2.0%
71.0 2
 
2.0%
190.0 2
 
2.0%
97.0 2
 
2.0%
90.0 2
 
2.0%
82.0 2
 
2.0%
Other values (63) 73
72.3%
(Missing) 4
 
4.0%
ValueCountFrequency (%)
57.0 1
1.0%
60.0 1
1.0%
65.0 1
1.0%
66.0 2
2.0%
71.0 2
2.0%
73.0 1
1.0%
75.0 1
1.0%
77.0 2
2.0%
77.76 1
1.0%
79.0 2
2.0%
ValueCountFrequency (%)
251.0 1
1.0%
235.0 1
1.0%
226.0 1
1.0%
217.71 1
1.0%
199.3 1
1.0%
195.0 1
1.0%
193.0 1
1.0%
192.6 1
1.0%
192.0 1
1.0%
190.0 2
2.0%

지상층수
Categorical

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
3
40 
2
31 
4
19 
<NA>
8 
5
 
3

Length

Max length4
Median length1
Mean length1.2376238
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 40
39.6%
2 31
30.7%
4 19
18.8%
<NA> 8
 
7.9%
5 3
 
3.0%

Length

2024-04-06T21:59:58.402002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:58.577646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 40
39.6%
2 31
30.7%
4 19
18.8%
na 8
 
7.9%
5 3
 
3.0%

지하층수
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
<NA>
61 
1
40 

Length

Max length4
Median length4
Mean length2.8118812
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 61
60.4%
1 40
39.6%

Length

2024-04-06T21:59:58.840706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:59.027560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
60.4%
1 40
39.6%

건물용도명
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
기타
68 
근린생활시설
21 
<NA>
11 
운수시설
 
1

Length

Max length6
Median length2
Mean length3.0693069
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 68
67.3%
근린생활시설 21
 
20.8%
<NA> 11
 
10.9%
운수시설 1
 
1.0%

Length

2024-04-06T21:59:59.237672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:59.449516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 68
67.3%
근린생활시설 21
 
20.8%
na 11
 
10.9%
운수시설 1
 
1.0%

통로너비
Categorical

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
1
76 
<NA>
25 

Length

Max length4
Median length1
Mean length1.7425743
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 76
75.2%
<NA> 25
 
24.8%

Length

2024-04-06T21:59:59.664036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:59:59.856549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 76
75.2%
na 25
 
24.8%

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

비디오재생기명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size940.0 B
자동
94 
<NA>
 
7

Length

Max length4
Median length2
Mean length2.1386139
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동 94
93.1%
<NA> 7
 
6.9%

Length

2024-04-06T22:00:00.045020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:00:00.254035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동 94
93.1%
na 7
 
6.9%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing101
Missing (%)100.0%
Memory size1.0 KiB

지역구분명
Categorical

Distinct7
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size940.0 B
준주거지역
52 
상업지역
29 
<NA>
11 
일반상업지역
 
3
근린상업지역
 
2
Other values (2)
 
4

Length

Max length6
Median length5
Mean length4.6534653
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상업지역
2nd row상업지역
3rd row상업지역
4th row근린상업지역
5th row상업지역

Common Values

ValueCountFrequency (%)
준주거지역 52
51.5%
상업지역 29
28.7%
<NA> 11
 
10.9%
일반상업지역 3
 
3.0%
근린상업지역 2
 
2.0%
일반주거지역 2
 
2.0%
주거지역 2
 
2.0%

Length

2024-04-06T22:00:00.451778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T22:00:00.701222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
준주거지역 52
51.5%
상업지역 29
28.7%
na 11
 
10.9%
일반상업지역 3
 
3.0%
근린상업지역 2
 
2.0%
일반주거지역 2
 
2.0%
주거지역 2
 
2.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03200000CDFF124201199600000119960918<NA>4취소/말소/만료/정지/중지35직권말소20080731<NA><NA><NA>873-2988<NA>151836서울특별시 관악구 봉천동 875-7번지서울특별시 관악구 남부순환로 1794 (봉천동)<NA>하바드2008-10-16 14:42:04I2018-08-31 23:59:59.0<NA>195445.432424442127.015244비디오물감상실업유통관련업4기타<NA>73.031기타1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
13200000CDFF124201199600000219960907<NA>3폐업3폐업20040302<NA><NA><NA>884-8242<NA>151835서울특별시 관악구 봉천동 1598-20번지서울특별시 관악구 관악로 148 (봉천동)<NA>서울2008-06-11 12:59:13I2018-08-31 23:59:59.0<NA>195737.026568441809.639612비디오물감상실업유통관련업4기타<NA>100.031기타1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
23200000CDFF124201199600000319960907<NA>3폐업3폐업20040303<NA><NA><NA>878-4432<NA>151848서울특별시 관악구 봉천동 857-2번지서울특별시 관악구 남부순환로224길 4 (봉천동)<NA>아트2008-06-11 13:00:38I2018-08-31 23:59:59.0<NA>195789.121943442057.860854비디오물감상실업유통관련업4기타<NA>99.031기타1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
33200000CDFF124201199600000419961010<NA>3폐업3폐업20060503<NA><NA><NA>888-3511<NA>151832서울특별시 관악구 봉천동 1657-24번지서울특별시 관악구 남부순환로 1952 (봉천동)<NA>세바2006-05-03 18:07:02I2018-08-31 23:59:59.0<NA>196892.414715441529.42779비디오물감상실업유통관련업4기타<NA>108.031기타1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
43200000CDFF124201199600000519960916<NA>3폐업3폐업20090901<NA><NA><NA>525-0409<NA>151800서울특별시 관악구 남현동 1060-2번지서울특별시 관악구 남현1길 47 (남현동)<NA>자유2009-09-01 15:16:04I2018-08-31 23:59:59.0<NA>198172.998855441536.498672비디오물감상실업유통관련업3기타<NA>175.03<NA>기타1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
53200000CDFF124201199600000619961004<NA>4취소/말소/만료/정지/중지35직권말소20080716<NA><NA><NA>525-3090<NA>151800서울특별시 관악구 남현동 1061-26번지서울특별시 관악구 과천대로 949 (남현동)<NA>채플린2008-07-22 16:31:49I2018-08-31 23:59:59.0<NA>198276.677163441466.910001비디오물감상실업유통관련업4기타<NA>66.04<NA>기타1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
63200000CDFF124201199600000719960903<NA>3폐업3폐업20051201<NA><NA><NA>878-3515<NA>151930서울특별시 관악구 신림동 1639-26번지서울특별시 관악구 남부순환로176길 6 (신림동)<NA>24시2006-03-23 15:13:41I2018-08-31 23:59:59.0<NA>193577.478088442385.222617비디오물감상실업유통관련업4기타<NA>87.031기타1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
73200000CDFF124201199600000819960909<NA>3폐업3폐업20070730<NA><NA><NA>875-9485<NA>151930서울특별시 관악구 신림동 1641-9번지서울특별시 관악구 신림로 324 (신림동)<NA>시네마2008-01-28 10:20:03I2018-08-31 23:59:59.0<NA>193738.282198442335.004445비디오물감상실업유통관련업4유흥업소밀집지역<NA>85.04<NA>기타1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
83200000CDFF124201199600000919960909<NA>3폐업3폐업20100514<NA><NA><NA>884-6178<NA>151930서울특별시 관악구 신림동 1638-15번지서울특별시 관악구 신원로 39 (신림동)<NA>시네마클럽2010-05-14 20:40:31I2018-08-31 23:59:59.0<NA>193685.367084442254.360437비디오물감상실업유통관련업3기타<NA>79.03<NA>기타1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
93200000CDFF124201199600001019960911<NA>3폐업3폐업20050127<NA><NA><NA>877-7089<NA>151930서울특별시 관악구 신림동 1640-28번지서울특별시 관악구 남부순환로 1600-8 (신림동)<NA>아이멕스2008-06-11 13:06:29I2018-08-31 23:59:59.0<NA>193632.390178442385.351113비디오물감상실업유통관련업5기타<NA>165.041기타1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
913200000CDFF124201200400000320041021<NA>1영업/정상13영업중<NA><NA><NA><NA>02-861-0973<NA><NA>서울특별시 관악구 신림동 241-21번지서울특별시 관악구 대학길 23 (신림동)<NA>명품DVD영화관2013-06-26 13:11:48I2018-08-31 23:59:59.0<NA>194446.193925440815.950279비디오물감상실업<NA>5학교정화(상대)<NA>217.714<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
923200000CDFF124201200500000120050711<NA>3폐업3폐업20141128<NA><NA><NA>877-9095<NA><NA>서울특별시 관악구 신림동 1421-63번지서울특별시 관악구 신림로64길 9 (신림동)<NA>팝스DVD영화관2014-11-28 11:13:37I2018-08-31 23:59:59.0<NA>193761.462122442552.376302비디오물감상실업<NA>4<NA><NA>184.133<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
933200000CDFF124201200600000120061114<NA>3폐업3폐업20081121<NA><NA><NA><NA><NA>151930서울특별시 관악구 신림동 1640-16번지 3층서울특별시 관악구 남부순환로 1600-21 (신림동,3층)<NA>테이크5 신림점2008-11-21 11:50:59I2018-08-31 23:59:59.0<NA>193671.798183442385.410979비디오물감상실업유통관련업3기타<NA>165.873<NA>근린생활시설1<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
943200000CDFF124201200700000120070124<NA>3폐업3폐업20200320<NA><NA><NA>853-1237<NA><NA>서울특별시 관악구 신림동 1655-19번지 지층서울특별시 관악구 시흥대로 558, 지하1층 (신림동)8769칸DVD 영화관2020-03-20 09:39:39U2020-03-22 02:40:00.0<NA>191244.186953442274.238534비디오물감상실업<NA><NA><NA><NA>192.6<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>
953200000CDFF124201200800000120080421<NA>3폐업3폐업20081219<NA><NA><NA><NA><NA>151800서울특별시 관악구 남현동 1061-22번지 4층서울특별시 관악구 과천대로 945 (남현동,4층)<NA>조이텔영상감상실2008-12-19 15:23:37I2018-08-31 23:59:59.0<NA>198284.48735441422.547539비디오물감상실업유통관련업5유흥업소밀집지역<NA>77.764<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
963200000CDFF124201200800000220080513<NA>1영업/정상13영업중<NA><NA><NA><NA>839-9434<NA><NA>서울특별시 관악구 신림동 1644-8번지 2층서울특별시 관악구 조원로 13 (신림동,2층)<NA>7080DVD2014-02-20 16:53:26I2018-08-31 23:59:59.0<NA>191431.385585442389.265269비디오물감상실업<NA>5기타<NA>80.52<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
973200000CDFF124201200800000320080910<NA>3폐업3폐업20190910<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1640-40번지 3층(관악구 삼모길 6)서울특별시 관악구 신림로59길 10 (신림동,3층(관악구 삼모길 6))<NA>프라임DVD영화관2019-09-10 17:54:18U2019-09-12 02:40:00.0<NA>193668.256376442332.218263비디오물감상실업<NA>4<NA><NA>80.643<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
983200000CDFF124201200800000420080916<NA>3폐업3폐업20150618<NA><NA><NA>867-5009<NA><NA>서울특별시 관악구 신림동 1655-2번지 4층(관악구 강남길 6)서울특별시 관악구 조원로 6 (신림동,4층(관악구 강남길 6))<NA>DVD ZONE 영화관2015-06-19 14:16:42I2018-08-31 23:59:59.0<NA>191326.542623442358.444308비디오물감상실업<NA>8<NA><NA>188.754<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
993200000CDFF124201200800000520080925<NA>3폐업3폐업20110712<NA><NA><NA><NA><NA><NA>서울특별시 관악구 남현동 1062-15번지 3층(관악구 문화재길 5)서울특별시 관악구 남현1길 58 (남현동,3층(관악구 문화재길 5))<NA>ROCK DVD영화관2011-07-12 17:42:16I2018-08-31 23:59:59.0<NA>198209.153691441502.542951비디오물감상실업<NA>7<NA><NA>160.363<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
1003200000CDFF124201201000000120100524<NA>4취소/말소/만료/정지/중지35직권말소20120316<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 1423-4번지 2층 우측서울특별시 관악구 봉천로12길 49 (신림동,2층 우측)<NA>신림 DVD 방2012-10-10 16:37:35I2018-08-31 23:59:59.0<NA>193755.143685442698.285576비디오물감상실업<NA>2유흥업소밀집지역<NA>150.262<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역