Overview

Dataset statistics

Number of variables56
Number of observations76
Missing cells2261
Missing cells (%)53.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.3 KiB
Average record size in memory488.7 B

Variable types

Categorical15
Text5
Numeric8
Unsupported27
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
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17271/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 is highly imbalanced (60.2%)Imbalance
데이터갱신일자 is highly imbalanced (78.5%)Imbalance
문화체육업종명 is highly imbalanced (89.9%)Imbalance
주변환경명 is highly imbalanced (55.5%)Imbalance
통로너비 is highly imbalanced (71.2%)Imbalance
지역구분명 is highly imbalanced (68.9%)Imbalance
인허가취소일자 has 76 (100.0%) missing valuesMissing
폐업일자 has 6 (7.9%) missing valuesMissing
휴업시작일자 has 76 (100.0%) missing valuesMissing
휴업종료일자 has 76 (100.0%) missing valuesMissing
재개업일자 has 76 (100.0%) missing valuesMissing
전화번호 has 19 (25.0%) missing valuesMissing
소재지면적 has 76 (100.0%) missing valuesMissing
소재지우편번호 has 19 (25.0%) missing valuesMissing
도로명주소 has 7 (9.2%) missing valuesMissing
도로명우편번호 has 76 (100.0%) missing valuesMissing
업태구분명 has 76 (100.0%) missing valuesMissing
좌표정보(X) has 4 (5.3%) missing valuesMissing
좌표정보(Y) has 4 (5.3%) missing valuesMissing
총층수 has 52 (68.4%) missing valuesMissing
제작취급품목내용 has 76 (100.0%) missing valuesMissing
시설면적 has 46 (60.5%) missing valuesMissing
지상층수 has 52 (68.4%) missing valuesMissing
조명시설조도 has 76 (100.0%) missing valuesMissing
노래방실수 has 76 (100.0%) missing valuesMissing
청소년실수 has 76 (100.0%) missing valuesMissing
비상계단여부 has 76 (100.0%) missing valuesMissing
비상구여부 has 76 (100.0%) missing valuesMissing
자동환기여부 has 76 (100.0%) missing valuesMissing
청소년실여부 has 76 (100.0%) missing valuesMissing
특수조명여부 has 76 (100.0%) missing valuesMissing
방음시설여부 has 76 (100.0%) missing valuesMissing
조명시설유무 has 76 (100.0%) missing valuesMissing
음향시설여부 has 76 (100.0%) missing valuesMissing
편의시설여부 has 76 (100.0%) missing valuesMissing
소방시설여부 has 76 (100.0%) missing valuesMissing
총게임기수 has 76 (100.0%) missing valuesMissing
기존게임업외업종명 has 76 (100.0%) missing valuesMissing
제공게임물명 has 76 (100.0%) missing valuesMissing
공연장형태구분명 has 76 (100.0%) missing valuesMissing
품목명 has 76 (100.0%) missing valuesMissing
최초등록시점 has 76 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
도로명우편번호 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
총층수 has 8 (10.5%) zerosZeros
시설면적 has 12 (15.8%) zerosZeros
지상층수 has 8 (10.5%) zerosZeros

Reproduction

Analysis started2024-04-06 11:12:13.698545
Analysis finished2024-04-06 11:12:14.620870
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
3040000
76 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 76
100.0%

Length

2024-04-06T20:12:14.767821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:14.984429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 76
100.0%

관리번호
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-06T20:12:15.308018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1520
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

Unique76 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000002
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011996000001 1
 
1.3%
cdff1242012000000003 1
 
1.3%
cdff1242012001000006 1
 
1.3%
cdff1242012001000005 1
 
1.3%
cdff1242012001000003 1
 
1.3%
cdff1242012001000002 1
 
1.3%
cdff1242012001000001 1
 
1.3%
cdff1242012000000006 1
 
1.3%
cdff1242012000000005 1
 
1.3%
cdff1242011996000002 1
 
1.3%
Other values (66) 66
86.8%
2024-04-06T20:12:15.887717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 503
33.1%
1 231
15.2%
2 205
13.5%
F 152
 
10.0%
9 105
 
6.9%
4 88
 
5.8%
C 76
 
5.0%
D 76
 
5.0%
6 36
 
2.4%
3 15
 
1.0%
Other values (3) 33
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1216
80.0%
Uppercase Letter 304
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 503
41.4%
1 231
19.0%
2 205
16.9%
9 105
 
8.6%
4 88
 
7.2%
6 36
 
3.0%
3 15
 
1.2%
5 13
 
1.1%
8 10
 
0.8%
7 10
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 152
50.0%
C 76
25.0%
D 76
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1216
80.0%
Latin 304
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 503
41.4%
1 231
19.0%
2 205
16.9%
9 105
 
8.6%
4 88
 
7.2%
6 36
 
3.0%
3 15
 
1.2%
5 13
 
1.1%
8 10
 
0.8%
7 10
 
0.8%
Latin
ValueCountFrequency (%)
F 152
50.0%
C 76
25.0%
D 76
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 503
33.1%
1 231
15.2%
2 205
13.5%
F 152
 
10.0%
9 105
 
6.9%
4 88
 
5.8%
C 76
 
5.0%
D 76
 
5.0%
6 36
 
2.4%
3 15
 
1.0%
Other values (3) 33
 
2.2%

인허가일자
Real number (ℝ)

Distinct59
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19993331
Minimum19960910
Maximum20090604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T20:12:16.154019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19960910
5-th percentile19960917
Q119961001
median19990304
Q320013596
95-th percentile20053115
Maximum20090604
Range129694
Interquartile range (IQR)52595.25

Descriptive statistics

Standard deviation34284.184
Coefficient of variation (CV)0.001714781
Kurtosis-0.044319932
Mean19993331
Median Absolute Deviation (MAD)29303.5
Skewness0.88721436
Sum1.5194931 × 109
Variance1.1754052 × 109
MonotonicityNot monotonic
2024-04-06T20:12:16.425577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19960917 4
 
5.3%
19960919 4
 
5.3%
19960920 4
 
5.3%
20030403 2
 
2.6%
20040716 2
 
2.6%
19960918 2
 
2.6%
19961001 2
 
2.6%
19960914 2
 
2.6%
19961010 2
 
2.6%
20030130 2
 
2.6%
Other values (49) 50
65.8%
ValueCountFrequency (%)
19960910 1
 
1.3%
19960914 2
2.6%
19960917 4
5.3%
19960918 2
2.6%
19960919 4
5.3%
19960920 4
5.3%
19960924 1
 
1.3%
19961001 2
2.6%
19961009 1
 
1.3%
19961010 2
2.6%
ValueCountFrequency (%)
20090604 1
1.3%
20080918 1
1.3%
20070115 1
1.3%
20060615 1
1.3%
20050615 1
1.3%
20050517 2
2.6%
20041028 1
1.3%
20040716 2
2.6%
20030403 2
2.6%
20030130 2
2.6%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size740.0 B
3
59 
4
11 
1
6 

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 59
77.6%
4 11
 
14.5%
1 6
 
7.9%

Length

2024-04-06T20:12:16.660269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:16.835094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 59
77.6%
4 11
 
14.5%
1 6
 
7.9%

영업상태명
Categorical

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size740.0 B
폐업
59 
취소/말소/만료/정지/중지
11 
영업/정상
6 

Length

Max length14
Median length2
Mean length3.9736842
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 59
77.6%
취소/말소/만료/정지/중지 11
 
14.5%
영업/정상 6
 
7.9%

Length

2024-04-06T20:12:17.034550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:17.209940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 59
77.6%
취소/말소/만료/정지/중지 11
 
14.5%
영업/정상 6
 
7.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
03
59 
35
11 
BBBB
 
4
13
 
2

Length

Max length4
Median length2
Mean length2.1052632
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35
2nd row03
3rd row03
4th row03
5th row03

Common Values

ValueCountFrequency (%)
03 59
77.6%
35 11
 
14.5%
BBBB 4
 
5.3%
13 2
 
2.6%

Length

2024-04-06T20:12:17.420929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:17.642160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03 59
77.6%
35 11
 
14.5%
bbbb 4
 
5.3%
13 2
 
2.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
폐업
59 
직권말소
11 
<NA>
 
4
영업중
 
2

Length

Max length4
Median length2
Mean length2.4210526
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 59
77.6%
직권말소 11
 
14.5%
<NA> 4
 
5.3%
영업중 2
 
2.6%

Length

2024-04-06T20:12:17.875823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:18.070757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 59
77.6%
직권말소 11
 
14.5%
na 4
 
5.3%
영업중 2
 
2.6%

폐업일자
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)84.3%
Missing6
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean20084543
Minimum19990210
Maximum20221118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T20:12:18.383066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990210
5-th percentile20005221
Q120053196
median20080725
Q320108150
95-th percentile20200221
Maximum20221118
Range230908
Interquartile range (IQR)54954.25

Descriptive statistics

Standard deviation52972.894
Coefficient of variation (CV)0.0026374956
Kurtosis0.39676239
Mean20084543
Median Absolute Deviation (MAD)29844
Skewness0.69957871
Sum1.405918 × 109
Variance2.8061275 × 109
MonotonicityNot monotonic
2024-04-06T20:12:18.623271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080822 8
 
10.5%
20131007 2
 
2.6%
20160701 2
 
2.6%
20080725 2
 
2.6%
20090812 2
 
2.6%
20000411 1
 
1.3%
20080130 1
 
1.3%
20001121 1
 
1.3%
20050718 1
 
1.3%
20221118 1
 
1.3%
Other values (49) 49
64.5%
(Missing) 6
 
7.9%
ValueCountFrequency (%)
19990210 1
1.3%
20000411 1
1.3%
20001121 1
1.3%
20001222 1
1.3%
20010108 1
1.3%
20020206 1
1.3%
20020208 1
1.3%
20021122 1
1.3%
20021223 1
1.3%
20021230 1
1.3%
ValueCountFrequency (%)
20221118 1
1.3%
20211115 1
1.3%
20210426 1
1.3%
20200225 1
1.3%
20200217 1
1.3%
20160701 2
2.6%
20160111 1
1.3%
20151001 1
1.3%
20150309 1
1.3%
20140613 1
1.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

전화번호
Text

MISSING 

Distinct55
Distinct (%)96.5%
Missing19
Missing (%)25.0%
Memory size740.0 B
2024-04-06T20:12:19.080307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.1578947
Min length7

Characters and Unicode

Total characters465
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

Unique53 ?
Unique (%)93.0%

Sample

1st row468-8646
2nd row3436-9820
3rd row453-9806
4th row3491-1626
5th row464-2549
ValueCountFrequency (%)
497-8083 2
 
3.5%
467-5164 2
 
3.5%
499-5828 1
 
1.8%
4995828 1
 
1.8%
2282-6951 1
 
1.8%
498-9541 1
 
1.8%
468-8646 1
 
1.8%
499-4083 1
 
1.8%
467-7096 1
 
1.8%
465-8963 1
 
1.8%
Other values (45) 45
78.9%
2024-04-06T20:12:19.865697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 76
16.3%
- 56
12.0%
6 53
11.4%
9 49
10.5%
3 40
8.6%
5 40
8.6%
8 35
7.5%
2 33
7.1%
7 30
 
6.5%
0 30
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 409
88.0%
Dash Punctuation 56
 
12.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 76
18.6%
6 53
13.0%
9 49
12.0%
3 40
9.8%
5 40
9.8%
8 35
8.6%
2 33
8.1%
7 30
 
7.3%
0 30
 
7.3%
1 23
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 465
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 76
16.3%
- 56
12.0%
6 53
11.4%
9 49
10.5%
3 40
8.6%
5 40
8.6%
8 35
7.5%
2 33
7.1%
7 30
 
6.5%
0 30
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 465
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 76
16.3%
- 56
12.0%
6 53
11.4%
9 49
10.5%
3 40
8.6%
5 40
8.6%
8 35
7.5%
2 33
7.1%
7 30
 
6.5%
0 30
 
6.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)26.3%
Missing19
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean143853.21
Minimum143130
Maximum143962
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T20:12:20.092416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum143130
5-th percentile143612
Q1143841
median143914
Q3143914
95-th percentile143916.2
Maximum143962
Range832
Interquartile range (IQR)73

Descriptive statistics

Standard deviation171.99416
Coefficient of variation (CV)0.0011956227
Kurtosis13.41957
Mean143853.21
Median Absolute Deviation (MAD)1
Skewness-3.7383613
Sum8199633
Variance29581.991
MonotonicityNot monotonic
2024-04-06T20:12:20.303984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
143914 26
34.2%
143915 8
 
10.5%
143825 4
 
5.3%
143841 3
 
3.9%
143916 3
 
3.9%
143840 2
 
2.6%
143917 2
 
2.6%
143130 2
 
2.6%
143826 1
 
1.3%
143846 1
 
1.3%
Other values (5) 5
 
6.6%
(Missing) 19
25.0%
ValueCountFrequency (%)
143130 2
2.6%
143200 1
 
1.3%
143715 1
 
1.3%
143817 1
 
1.3%
143825 4
5.3%
143826 1
 
1.3%
143838 1
 
1.3%
143840 2
2.6%
143841 3
3.9%
143846 1
 
1.3%
ValueCountFrequency (%)
143962 1
 
1.3%
143917 2
 
2.6%
143916 3
 
3.9%
143915 8
 
10.5%
143914 26
34.2%
143846 1
 
1.3%
143841 3
 
3.9%
143840 2
 
2.6%
143838 1
 
1.3%
143826 1
 
1.3%

지번주소
Text

Distinct74
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-06T20:12:20.808753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length36
Mean length25.013158
Min length20

Characters and Unicode

Total characters1901
Distinct characters52
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

Unique73 ?
Unique (%)96.1%

Sample

1st row서울특별시 광진구 자양동 1-2번지 (4층)
2nd row서울특별시 광진구 화양동 195-25번지
3rd row서울특별시 광진구 화양동 132-64번지
4th row서울특별시 광진구 화양동 18-2번지
5th row서울특별시 광진구 군자동 374-7번지
ValueCountFrequency (%)
서울특별시 76
21.4%
광진구 76
21.4%
화양동 54
15.2%
3층 17
 
4.8%
구의동 13
 
3.7%
자양동 6
 
1.7%
지층 6
 
1.7%
2층 4
 
1.1%
4층 4
 
1.1%
7-42번지 3
 
0.8%
Other values (89) 96
27.0%
2024-04-06T20:12:21.551024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
351
18.5%
구 89
 
4.7%
지 84
 
4.4%
동 79
 
4.2%
서 77
 
4.1%
울 77
 
4.1%
광 76
 
4.0%
별 76
 
4.0%
특 76
 
4.0%
진 76
 
4.0%
Other values (42) 840
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1080
56.8%
Space Separator 351
 
18.5%
Decimal Number 326
 
17.1%
Dash Punctuation 76
 
4.0%
Open Punctuation 32
 
1.7%
Close Punctuation 32
 
1.7%
Other Punctuation 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 89
 
8.2%
지 84
 
7.8%
동 79
 
7.3%
서 77
 
7.1%
울 77
 
7.1%
광 76
 
7.0%
별 76
 
7.0%
특 76
 
7.0%
진 76
 
7.0%
시 76
 
7.0%
Other values (26) 294
27.2%
Decimal Number
ValueCountFrequency (%)
1 59
18.1%
3 48
14.7%
2 44
13.5%
4 40
12.3%
7 32
9.8%
5 28
8.6%
6 20
 
6.1%
9 20
 
6.1%
8 19
 
5.8%
0 16
 
4.9%
Space Separator
ValueCountFrequency (%)
351
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1080
56.8%
Common 820
43.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 89
 
8.2%
지 84
 
7.8%
동 79
 
7.3%
서 77
 
7.1%
울 77
 
7.1%
광 76
 
7.0%
별 76
 
7.0%
특 76
 
7.0%
진 76
 
7.0%
시 76
 
7.0%
Other values (26) 294
27.2%
Common
ValueCountFrequency (%)
351
42.8%
- 76
 
9.3%
1 59
 
7.2%
3 48
 
5.9%
2 44
 
5.4%
4 40
 
4.9%
7 32
 
3.9%
( 32
 
3.9%
) 32
 
3.9%
5 28
 
3.4%
Other values (5) 78
 
9.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1080
56.8%
ASCII 821
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
351
42.8%
- 76
 
9.3%
1 59
 
7.2%
3 48
 
5.8%
2 44
 
5.4%
4 40
 
4.9%
7 32
 
3.9%
( 32
 
3.9%
) 32
 
3.9%
5 28
 
3.4%
Other values (6) 79
 
9.6%
Hangul
ValueCountFrequency (%)
구 89
 
8.2%
지 84
 
7.8%
동 79
 
7.3%
서 77
 
7.1%
울 77
 
7.1%
광 76
 
7.0%
별 76
 
7.0%
특 76
 
7.0%
진 76
 
7.0%
시 76
 
7.0%
Other values (26) 294
27.2%

도로명주소
Text

MISSING 

Distinct67
Distinct (%)97.1%
Missing7
Missing (%)9.2%
Memory size740.0 B
2024-04-06T20:12:21.947973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length29.231884
Min length24

Characters and Unicode

Total characters2017
Distinct characters61
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

Unique66 ?
Unique (%)95.7%

Sample

1st row서울특별시 광진구 능동로 95 (자양동,(4층))
2nd row서울특별시 광진구 능동로17길 55 (화양동)
3rd row서울특별시 광진구 광나루로 364 (화양동)
4th row서울특별시 광진구 광나루로 389 (군자동)
5th row서울특별시 광진구 능동로19길 12 (화양동)
ValueCountFrequency (%)
서울특별시 69
19.6%
광진구 69
19.6%
화양동 25
 
7.1%
동일로22길 16
 
4.5%
화양동,(3층 9
 
2.6%
아차산로29길 8
 
2.3%
능동로 7
 
2.0%
아차산로 7
 
2.0%
아차산로33길 6
 
1.7%
능동로19길 5
 
1.4%
Other values (99) 131
37.2%
2024-04-06T20:12:23.005027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
17.1%
동 104
 
5.2%
( 97
 
4.8%
) 97
 
4.8%
구 81
 
4.0%
광 75
 
3.7%
서 70
 
3.5%
울 70
 
3.5%
특 69
 
3.4%
별 69
 
3.4%
Other values (51) 941
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1124
55.7%
Space Separator 344
 
17.1%
Decimal Number 307
 
15.2%
Open Punctuation 97
 
4.8%
Close Punctuation 97
 
4.8%
Other Punctuation 42
 
2.1%
Dash Punctuation 5
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 104
 
9.3%
구 81
 
7.2%
광 75
 
6.7%
서 70
 
6.2%
울 70
 
6.2%
특 69
 
6.1%
별 69
 
6.1%
시 69
 
6.1%
진 69
 
6.1%
로 69
 
6.1%
Other values (35) 379
33.7%
Decimal Number
ValueCountFrequency (%)
2 68
22.1%
1 65
21.2%
3 44
14.3%
9 25
 
8.1%
5 24
 
7.8%
0 23
 
7.5%
4 22
 
7.2%
7 17
 
5.5%
6 10
 
3.3%
8 9
 
2.9%
Space Separator
ValueCountFrequency (%)
344
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1124
55.7%
Common 892
44.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 104
 
9.3%
구 81
 
7.2%
광 75
 
6.7%
서 70
 
6.2%
울 70
 
6.2%
특 69
 
6.1%
별 69
 
6.1%
시 69
 
6.1%
진 69
 
6.1%
로 69
 
6.1%
Other values (35) 379
33.7%
Common
ValueCountFrequency (%)
344
38.6%
( 97
 
10.9%
) 97
 
10.9%
2 68
 
7.6%
1 65
 
7.3%
3 44
 
4.9%
, 42
 
4.7%
9 25
 
2.8%
5 24
 
2.7%
0 23
 
2.6%
Other values (5) 63
 
7.1%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1124
55.7%
ASCII 893
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
38.5%
( 97
 
10.9%
) 97
 
10.9%
2 68
 
7.6%
1 65
 
7.3%
3 44
 
4.9%
, 42
 
4.7%
9 25
 
2.8%
5 24
 
2.7%
0 23
 
2.6%
Other values (6) 64
 
7.2%
Hangul
ValueCountFrequency (%)
동 104
 
9.3%
구 81
 
7.2%
광 75
 
6.7%
서 70
 
6.2%
울 70
 
6.2%
특 69
 
6.1%
별 69
 
6.1%
시 69
 
6.1%
진 69
 
6.1%
로 69
 
6.1%
Other values (35) 379
33.7%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

사업장명
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-06T20:12:23.456153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length14
Mean length9.1842105
Min length3

Characters and Unicode

Total characters698
Distinct characters150
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

Unique76 ?
Unique (%)100.0%

Sample

1st rowQ 비디오감상실
2nd row건국 비디오감상실
3rd row진 비디오감상실
4th row하나로 비디오감상실
5th row화인 비디오감상실
ValueCountFrequency (%)
비디오감상실 29
 
23.6%
무단폐업 3
 
2.4%
dvd 3
 
2.4%
현장조사 3
 
2.4%
2014-02-25 3
 
2.4%
리허설 2
 
1.6%
영화관 2
 
1.6%
멀티비디오방 1
 
0.8%
컴온dvd클럽 1
 
0.8%
콜롬비아비디오방 1
 
0.8%
Other values (75) 75
61.0%
2024-04-06T20:12:24.123262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 54
 
7.7%
디 53
 
7.6%
오 51
 
7.3%
47
 
6.7%
상 38
 
5.4%
감 37
 
5.3%
실 37
 
5.3%
D 19
 
2.7%
2 16
 
2.3%
방 13
 
1.9%
Other values (140) 333
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 554
79.4%
Space Separator 47
 
6.7%
Decimal Number 42
 
6.0%
Uppercase Letter 36
 
5.2%
Dash Punctuation 6
 
0.9%
Close Punctuation 5
 
0.7%
Open Punctuation 5
 
0.7%
Lowercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 54
 
9.7%
디 53
 
9.6%
오 51
 
9.2%
상 38
 
6.9%
감 37
 
6.7%
실 37
 
6.7%
방 13
 
2.3%
리 13
 
2.3%
스 10
 
1.8%
드 8
 
1.4%
Other values (118) 240
43.3%
Uppercase Letter
ValueCountFrequency (%)
D 19
52.8%
V 9
25.0%
C 2
 
5.6%
M 2
 
5.6%
Q 1
 
2.8%
Z 1
 
2.8%
A 1
 
2.8%
E 1
 
2.8%
Decimal Number
ValueCountFrequency (%)
2 16
38.1%
0 9
21.4%
1 8
19.0%
5 4
 
9.5%
4 3
 
7.1%
6 1
 
2.4%
7 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
n 1
33.3%
a 1
33.3%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 554
79.4%
Common 105
 
15.0%
Latin 39
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 54
 
9.7%
디 53
 
9.6%
오 51
 
9.2%
상 38
 
6.9%
감 37
 
6.7%
실 37
 
6.7%
방 13
 
2.3%
리 13
 
2.3%
스 10
 
1.8%
드 8
 
1.4%
Other values (118) 240
43.3%
Common
ValueCountFrequency (%)
47
44.8%
2 16
 
15.2%
0 9
 
8.6%
1 8
 
7.6%
- 6
 
5.7%
) 5
 
4.8%
( 5
 
4.8%
5 4
 
3.8%
4 3
 
2.9%
6 1
 
1.0%
Latin
ValueCountFrequency (%)
D 19
48.7%
V 9
23.1%
C 2
 
5.1%
M 2
 
5.1%
Q 1
 
2.6%
n 1
 
2.6%
a 1
 
2.6%
p 1
 
2.6%
Z 1
 
2.6%
A 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 554
79.4%
ASCII 144
 
20.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 54
 
9.7%
디 53
 
9.6%
오 51
 
9.2%
상 38
 
6.9%
감 37
 
6.7%
실 37
 
6.7%
방 13
 
2.3%
리 13
 
2.3%
스 10
 
1.8%
드 8
 
1.4%
Other values (118) 240
43.3%
ASCII
ValueCountFrequency (%)
47
32.6%
D 19
13.2%
2 16
 
11.1%
V 9
 
6.2%
0 9
 
6.2%
1 8
 
5.6%
- 6
 
4.2%
) 5
 
3.5%
( 5
 
3.5%
5 4
 
2.8%
Other values (12) 16
 
11.1%

최종수정일자
Date

Distinct68
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum2003-05-13 11:34:49
Maximum2022-11-18 18:27:52
2024-04-06T20:12:24.378071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T20:12:24.647369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
I
70 
U
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 70
92.1%
U 6
 
7.9%

Length

2024-04-06T20:12:24.886313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:25.090453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 70
92.1%
u 6
 
7.9%

데이터갱신일자
Categorical

IMBALANCE 

Distinct7
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size740.0 B
2018-08-31 23:59:59.0
70 
2020-02-20 02:40:00.0
 
1
2021-10-31 22:00:00.0
 
1
2021-11-17 02:40:00.0
 
1
2020-02-27 02:40:00.0
 
1
Other values (2)
 
2

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique6 ?
Unique (%)7.9%

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 70
92.1%
2020-02-20 02:40:00.0 1
 
1.3%
2021-10-31 22:00:00.0 1
 
1.3%
2021-11-17 02:40:00.0 1
 
1.3%
2020-02-27 02:40:00.0 1
 
1.3%
2020-04-08 02:40:00.0 1
 
1.3%
2021-04-25 02:40:00.0 1
 
1.3%

Length

2024-04-06T20:12:25.298134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:25.532247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 70
46.1%
23:59:59.0 70
46.1%
02:40:00.0 5
 
3.3%
2020-02-20 1
 
0.7%
2021-10-31 1
 
0.7%
22:00:00.0 1
 
0.7%
2021-11-17 1
 
0.7%
2020-02-27 1
 
0.7%
2020-04-08 1
 
0.7%
2021-04-25 1
 
0.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)91.7%
Missing4
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean206450.58
Minimum205887.52
Maximum208558.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T20:12:25.790998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205887.52
5-th percentile205964.89
Q1206071.43
median206148.33
Q3206387.93
95-th percentile208034.58
Maximum208558.29
Range2670.7711
Interquartile range (IQR)316.49881

Descriptive statistics

Standard deviation679.58704
Coefficient of variation (CV)0.0032917662
Kurtosis1.7185187
Mean206450.58
Median Absolute Deviation (MAD)157.23169
Skewness1.734123
Sum14864442
Variance461838.55
MonotonicityNot monotonic
2024-04-06T20:12:26.021861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206071.426952559 3
 
3.9%
206387.925766945 2
 
2.6%
205972.710118258 2
 
2.6%
206117.047193201 2
 
2.6%
208201.993320839 2
 
2.6%
205970.711970786 1
 
1.3%
206195.455820406 1
 
1.3%
205988.366387477 1
 
1.3%
206048.618422884 1
 
1.3%
206411.586296227 1
 
1.3%
Other values (56) 56
73.7%
(Missing) 4
 
5.3%
ValueCountFrequency (%)
205887.515523609 1
1.3%
205910.132577972 1
1.3%
205948.348025434 1
1.3%
205959.161607349 1
1.3%
205969.581133832 1
1.3%
205970.711970786 1
1.3%
205972.710118258 2
2.6%
205981.437370247 1
1.3%
205981.488253574 1
1.3%
205988.366387477 1
1.3%
ValueCountFrequency (%)
208558.286631653 1
1.3%
208201.993320839 2
2.6%
208189.434497483 1
1.3%
207907.884299176 1
1.3%
207897.69288255 1
1.3%
207789.460351798 1
1.3%
207564.476226586 1
1.3%
207470.704992686 1
1.3%
207459.112990904 1
1.3%
207444.54897561 1
1.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)91.7%
Missing4
Missing (%)5.3%
Infinite0
Infinite (%)0.0%
Mean448865.46
Minimum447967.3
Maximum450515.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T20:12:26.288049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447967.3
5-th percentile448298.33
Q1448718.08
median448764.24
Q3449010.12
95-th percentile449508.49
Maximum450515.58
Range2548.2762
Interquartile range (IQR)292.04137

Descriptive statistics

Standard deviation430.21289
Coefficient of variation (CV)0.00095844507
Kurtosis2.4038338
Mean448865.46
Median Absolute Deviation (MAD)120.22067
Skewness0.96527478
Sum32318313
Variance185083.13
MonotonicityNot monotonic
2024-04-06T20:12:26.605377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448734.249359413 3
 
3.9%
449434.26661297 2
 
2.6%
448845.693008822 2
 
2.6%
448742.653011903 2
 
2.6%
447967.299542306 2
 
2.6%
448777.128518132 1
 
1.3%
448786.791683852 1
 
1.3%
448815.728308174 1
 
1.3%
448748.197649814 1
 
1.3%
449410.214761756 1
 
1.3%
Other values (56) 56
73.7%
(Missing) 4
 
5.3%
ValueCountFrequency (%)
447967.299542306 2
2.6%
448129.166313052 1
1.3%
448263.89528182 1
1.3%
448326.497287633 1
1.3%
448353.905156369 1
1.3%
448361.285673647 1
1.3%
448369.568917225 1
1.3%
448408.722800518 1
1.3%
448428.754164083 1
1.3%
448459.536821989 1
1.3%
ValueCountFrequency (%)
450515.575725945 1
1.3%
449938.014730815 1
1.3%
449543.172023494 1
1.3%
449509.584404216 1
1.3%
449507.587423434 1
1.3%
449497.421823 1
1.3%
449477.873700109 1
1.3%
449434.26661297 2
2.6%
449420.23835582 1
1.3%
449415.943515539 1
1.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
비디오물감상실업
75 
<NA>
 
1

Length

Max length8
Median length8
Mean length7.9473684
Min length4

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 75
98.7%
<NA> 1
 
1.3%

Length

2024-04-06T20:12:26.900238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:27.160403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 75
98.7%
na 1
 
1.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
유통관련업
59 
<NA>
17 

Length

Max length5
Median length5
Mean length4.7763158
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 59
77.6%
<NA> 17
 
22.4%

Length

2024-04-06T20:12:27.376968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:27.537960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 59
77.6%
na 17
 
22.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)29.2%
Missing52
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean4.5416667
Minimum0
Maximum11
Zeros8
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T20:12:27.695986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q36.75
95-th percentile10
Maximum11
Range11
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation3.9118456
Coefficient of variation (CV)0.86132381
Kurtosis-1.2410966
Mean4.5416667
Median Absolute Deviation (MAD)5
Skewness0.21017288
Sum109
Variance15.302536
MonotonicityNot monotonic
2024-04-06T20:12:27.848563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 8
 
10.5%
5 5
 
6.6%
10 4
 
5.3%
4 3
 
3.9%
6 2
 
2.6%
9 1
 
1.3%
11 1
 
1.3%
(Missing) 52
68.4%
ValueCountFrequency (%)
0 8
10.5%
4 3
 
3.9%
5 5
6.6%
6 2
 
2.6%
9 1
 
1.3%
10 4
5.3%
11 1
 
1.3%
ValueCountFrequency (%)
11 1
 
1.3%
10 4
5.3%
9 1
 
1.3%
6 2
 
2.6%
5 5
6.6%
4 3
 
3.9%
0 8
10.5%

주변환경명
Categorical

IMBALANCE 

Distinct6
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
60 
주택가주변
 
6
유흥업소밀집지역
 
6
기타
 
2
아파트지역
 
1

Length

Max length8
Median length4
Mean length4.4078947
Min length2

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
78.9%
주택가주변 6
 
7.9%
유흥업소밀집지역 6
 
7.9%
기타 2
 
2.6%
아파트지역 1
 
1.3%
학교정화(상대) 1
 
1.3%

Length

2024-04-06T20:12:28.065277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:28.337121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
78.9%
주택가주변 6
 
7.9%
유흥업소밀집지역 6
 
7.9%
기타 2
 
2.6%
아파트지역 1
 
1.3%
학교정화(상대 1
 
1.3%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)60.0%
Missing46
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean64.442667
Minimum0
Maximum234.88
Zeros12
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T20:12:28.556758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median71.65
Q3105.445
95-th percentile153.428
Maximum234.88
Range234.88
Interquartile range (IQR)105.445

Descriptive statistics

Standard deviation62.52666
Coefficient of variation (CV)0.97026804
Kurtosis0.059847048
Mean64.442667
Median Absolute Deviation (MAD)63
Skewness0.61459489
Sum1933.28
Variance3909.5832
MonotonicityNot monotonic
2024-04-06T20:12:28.757790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 12
 
15.8%
74.0 2
 
2.6%
102.07 1
 
1.3%
80.92 1
 
1.3%
157.46 1
 
1.3%
79.76 1
 
1.3%
234.88 1
 
1.3%
121.53 1
 
1.3%
106.57 1
 
1.3%
62.24 1
 
1.3%
Other values (8) 8
 
10.5%
(Missing) 46
60.5%
ValueCountFrequency (%)
0.0 12
15.8%
62.24 1
 
1.3%
65.96 1
 
1.3%
69.3 1
 
1.3%
74.0 2
 
2.6%
79.76 1
 
1.3%
80.92 1
 
1.3%
97.0 1
 
1.3%
98.28 1
 
1.3%
102.07 1
 
1.3%
ValueCountFrequency (%)
234.88 1
1.3%
157.46 1
1.3%
148.5 1
1.3%
126.0 1
1.3%
121.53 1
1.3%
118.74 1
1.3%
116.07 1
1.3%
106.57 1
1.3%
102.07 1
1.3%
98.28 1
1.3%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)29.2%
Missing52
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean3.7083333
Minimum0
Maximum10
Zeros8
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T20:12:28.982729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q35
95-th percentile9
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2900267
Coefficient of variation (CV)0.8871982
Kurtosis-0.75773922
Mean3.7083333
Median Absolute Deviation (MAD)3.5
Skewness0.43343646
Sum89
Variance10.824275
MonotonicityNot monotonic
2024-04-06T20:12:29.214141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 8
 
10.5%
4 8
 
10.5%
9 3
 
3.9%
5 2
 
2.6%
3 1
 
1.3%
10 1
 
1.3%
7 1
 
1.3%
(Missing) 52
68.4%
ValueCountFrequency (%)
0 8
10.5%
3 1
 
1.3%
4 8
10.5%
5 2
 
2.6%
7 1
 
1.3%
9 3
 
3.9%
10 1
 
1.3%
ValueCountFrequency (%)
10 1
 
1.3%
9 3
 
3.9%
7 1
 
1.3%
5 2
 
2.6%
4 8
10.5%
3 1
 
1.3%
0 8
10.5%

지하층수
Categorical

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
52 
1
14 
0
8 
5
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.0526316
Min length1

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
68.4%
1 14
 
18.4%
0 8
 
10.5%
5 1
 
1.3%
3 1
 
1.3%

Length

2024-04-06T20:12:29.486416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:29.692943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
68.4%
1 14
 
18.4%
0 8
 
10.5%
5 1
 
1.3%
3 1
 
1.3%

건물용도명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
58 
근린생활시설
18 

Length

Max length6
Median length4
Mean length4.4736842
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 58
76.3%
근린생활시설 18
 
23.7%

Length

2024-04-06T20:12:29.943175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:30.181288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
76.3%
근린생활시설 18
 
23.7%

통로너비
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
69 
1.2
 
3
1.0
 
3
1.05
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length3

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 69
90.8%
1.2 3
 
3.9%
1.0 3
 
3.9%
1.05 1
 
1.3%

Length

2024-04-06T20:12:30.379735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:30.596747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 69
90.8%
1.2 3
 
3.9%
1.0 3
 
3.9%
1.05 1
 
1.3%

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

비디오재생기명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
자동
59 
<NA>
17 

Length

Max length4
Median length2
Mean length2.4473684
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동 59
77.6%
<NA> 17
 
22.4%

Length

2024-04-06T20:12:30.859578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:31.064633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동 59
77.6%
na 17
 
22.4%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing76
Missing (%)100.0%
Memory size816.0 B

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
67 
일반주거지역
 
5
주거지역
 
2
근린상업지역
 
1
일반상업지역
 
1

Length

Max length6
Median length4
Mean length4.1842105
Min length4

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
88.2%
일반주거지역 5
 
6.6%
주거지역 2
 
2.6%
근린상업지역 1
 
1.3%
일반상업지역 1
 
1.3%

Length

2024-04-06T20:12:31.304649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T20:12:31.535266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
88.2%
일반주거지역 5
 
6.6%
주거지역 2
 
2.6%
근린상업지역 1
 
1.3%
일반상업지역 1
 
1.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03040000CDFF124201199600000119960910<NA>4취소/말소/만료/정지/중지35직권말소20080822<NA><NA><NA>468-8646<NA>143841서울특별시 광진구 자양동 1-2번지 (4층)서울특별시 광진구 능동로 95 (자양동,(4층))<NA>Q 비디오감상실2008-08-22 15:54:57I2018-08-31 23:59:59.0<NA>206130.58194448587.832476비디오물감상실업유통관련업<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>
13040000CDFF124201199600000219960914<NA>3폐업03폐업20040409<NA><NA><NA><NA><NA>143915서울특별시 광진구 화양동 195-25번지<NA><NA>건국 비디오감상실2004-07-08 15:23:38I2018-08-31 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>
23040000CDFF124201199600000319960914<NA>3폐업03폐업20000411<NA><NA><NA>3436-9820<NA>143915서울특별시 광진구 화양동 132-64번지서울특별시 광진구 능동로17길 55 (화양동)<NA>진 비디오감상실2003-05-13 11:34:49I2018-08-31 23:59:59.0<NA>206151.025099449389.395435비디오물감상실업유통관련업0주택가주변<NA>0.000근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33040000CDFF124201199600000419960917<NA>3폐업03폐업20020206<NA><NA><NA><NA><NA>143916서울특별시 광진구 화양동 18-2번지서울특별시 광진구 광나루로 364 (화양동)<NA>하나로 비디오감상실2003-05-13 11:34:49I2018-08-31 23:59:59.0<NA>206133.420238449509.584404비디오물감상실업유통관련업<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>
43040000CDFF124201199600000519960917<NA>3폐업03폐업20021122<NA><NA><NA><NA><NA>143840서울특별시 광진구 군자동 374-7번지서울특별시 광진구 광나루로 389 (군자동)<NA>화인 비디오감상실2004-08-26 11:19:22I2018-08-31 23:59:59.0<NA>206405.530734449497.421823비디오물감상실업유통관련업<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>
53040000CDFF124201199600000619960917<NA>3폐업03폐업20040403<NA><NA><NA>453-9806<NA>143915서울특별시 광진구 화양동 213-0번지서울특별시 광진구 능동로19길 12 (화양동)<NA>영화사랑2004-07-08 15:24:13I2018-08-31 23:59:59.0<NA>206387.925767449434.266613비디오물감상실업유통관련업<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>
63040000CDFF124201199600000819960917<NA>4취소/말소/만료/정지/중지35직권말소20080822<NA><NA><NA>3491-1626<NA>143825서울특별시 광진구 구의동 246-60번지 (2층)서울특별시 광진구 아차산로51길 9 (구의동,(2층))<NA>킹비디오방2008-08-22 15:54:38I2018-08-31 23:59:59.0<NA>207459.112991448361.285674비디오물감상실업유통관련업<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>
73040000CDFF124201199600000919960918<NA>3폐업03폐업20060630<NA><NA><NA>464-2549<NA>143914서울특별시 광진구 화양동 5-3번지 (4층)서울특별시 광진구 능동로 125 (화양동,(4층))<NA>오리온존 비디오감상실2006-07-03 08:41:17I2018-08-31 23:59:59.0<NA>206231.687095448883.548801비디오물감상실업유통관련업<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>
83040000CDFF124201199600001019960918<NA>4취소/말소/만료/정지/중지35직권말소20160701<NA><NA><NA>499-7629<NA><NA>서울특별시 광진구 자양동 1-7번지 (3층)서울특별시 광진구 아차산로 244 (자양동,(3층))<NA>깐느 비디오감상실 (현장조사 2014-02-25 무단폐업)2016-07-01 14:43:21I2018-08-31 23:59:59.0<NA>206132.681153448621.23452비디오물감상실업<NA><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>
93040000CDFF124201199600001119960919<NA>3폐업03폐업20080801<NA><NA><NA>3436-3772<NA>143826서울특별시 광진구 구의동 252-130번지 (3층)서울특별시 광진구 아차산로51길 31 (구의동,(3층))<NA>25시 비디오감상실2008-08-01 16:13:22I2018-08-31 23:59:59.0<NA>207429.67068448459.536822비디오물감상실업유통관련업<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
663040000CDFF124201200400000120040716<NA>3폐업03폐업20200225<NA><NA><NA>4995828<NA>143130서울특별시 광진구 화양동 7-8번지 ,9호(6층)<NA><NA>에이플러스럭셔리DVD방6층2020-02-25 18:38:55U2020-02-27 02:40:00.0<NA><NA><NA>비디오물감상실업유통관련업10유흥업소밀집지역<NA>74.091근린생활시설1.2<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
673040000CDFF124201200400000220040716<NA>3폐업03폐업20150309<NA><NA><NA>499-5828<NA>143130서울특별시 광진구 화양동 7-8번지 ,9호(7층)<NA><NA>에이플러스럭셔리DVD방7층2015-03-09 13:22:54I2018-08-31 23:59:59.0<NA><NA><NA>비디오물감상실업유통관련업10유흥업소밀집지역<NA>74.091근린생활시설1.2<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
683040000CDFF124201200400000320041028<NA>3폐업03폐업20090713<NA><NA><NA>498-9541<NA><NA>서울특별시 광진구 화양동 47-73번지서울특별시 광진구 동일로22길 71 (화양동)<NA>브로드웨이비디오감상실2009-07-13 11:18:08I2018-08-31 23:59:59.0<NA>205959.161607448810.133047비디오물감상실업<NA>6주택가주변<NA>116.0751근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
693040000CDFF124201200500000120050517<NA>3폐업03폐업20060823<NA><NA><NA>467-5164<NA>143914서울특별시 광진구 화양동 8-102번지 (4층)서울특별시 광진구 동일로22길 107 (화양동,(4층))<NA>시네마건국112006-08-23 14:00:43I2018-08-31 23:59:59.0<NA>206117.047193448742.653012비디오물감상실업유통관련업5주택가주변<NA>102.0741근린생활시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
703040000CDFF124201200500000220050517<NA>3폐업03폐업20070328<NA><NA><NA>467-5164<NA>143914서울특별시 광진구 화양동 8-102번지 (3층)서울특별시 광진구 동일로22길 107 (화양동,(3층))<NA>시네마건국12007-03-28 17:12:33I2018-08-31 23:59:59.0<NA>206117.047193448742.653012비디오물감상실업유통관련업5주택가주변<NA>106.5741근린생활시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
713040000CDFF124201200500000320050615<NA>3폐업03폐업20110531<NA><NA><NA><NA><NA>143914서울특별시 광진구 화양동 9-89번지 (2층)서울특별시 광진구 아차산로29길 18 (화양동,(2층))<NA>네오 DVD 존2011-05-31 16:07:17I2018-08-31 23:59:59.0<NA>205993.832649448828.432653비디오물감상실업유통관련업5주택가주변<NA>121.5341근린생활시설1.05<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
723040000CDFF124201200600000120060615<NA>3폐업03폐업20110929<NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 7-12번지 (지상4층)서울특별시 광진구 아차산로 235 (화양동,(지상4층))<NA>아일랜드DVD2011-09-29 10:50:44I2018-08-31 23:59:59.0<NA>206080.208609448722.534735비디오물감상실업유통관련업11유흥업소밀집지역<NA>234.88101근린생활시설1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
733040000CDFF124201200700000120070115<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 546-11번지 지너스타워 지하 106호서울특별시 광진구 강변역로4길 10, 106호 (구의동,지너스타워 지하)<NA>엠엔지 DVD 영화관2020-04-06 10:56:27U2020-04-08 02:40:00.0<NA>208189.434497448129.166313비디오물감상실업<NA><NA>학교정화(상대)<NA>79.76<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
743040000CDFF124201200800000120080918<NA>3폐업03폐업20100211<NA><NA><NA>454-5877<NA>143200서울특별시 광진구 구의동 546-1번지서울특별시 광진구 강변역로 50 (구의동)<NA>블루 DVD 영화관2010-02-11 16:16:42I2018-08-31 23:59:59.0<NA>208201.993321447967.299542비디오물감상실업유통관련업10<NA><NA>157.4673<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
753040000CDFF124201200900000120090604<NA>3폐업03폐업20210426<NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 7-9 5층서울특별시 광진구 동일로22길 104 (화양동,5층)<NA>에이플러스 럭셔리DVD방2021-04-23 11:08:24U2021-04-25 02:40:00.0<NA>206098.338891448722.142529비디오물감상실업<NA>10<NA><NA>80.9291근린생활시설1.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역