Overview

Dataset statistics

Number of variables56
Number of observations35
Missing cells1025
Missing cells (%)52.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory491.8 B

Variable types

Categorical15
Text6
Numeric7
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
Author강서구
URLhttps://data.seoul.go.kr/dataList/OA-17282/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화체육업종명 has constant value ""Constant
도로명우편번호 is highly imbalanced (81.3%)Imbalance
데이터갱신구분 is highly imbalanced (81.3%)Imbalance
데이터갱신일자 is highly imbalanced (81.3%)Imbalance
인허가취소일자 has 35 (100.0%) missing valuesMissing
폐업일자 has 6 (17.1%) missing valuesMissing
휴업시작일자 has 35 (100.0%) missing valuesMissing
휴업종료일자 has 35 (100.0%) missing valuesMissing
재개업일자 has 35 (100.0%) missing valuesMissing
전화번호 has 4 (11.4%) missing valuesMissing
소재지면적 has 35 (100.0%) missing valuesMissing
소재지우편번호 has 4 (11.4%) missing valuesMissing
업태구분명 has 35 (100.0%) missing valuesMissing
총층수 has 25 (71.4%) missing valuesMissing
제작취급품목내용 has 35 (100.0%) missing valuesMissing
시설면적 has 11 (31.4%) missing valuesMissing
통로너비 has 35 (100.0%) missing valuesMissing
조명시설조도 has 35 (100.0%) missing valuesMissing
노래방실수 has 35 (100.0%) missing valuesMissing
청소년실수 has 35 (100.0%) missing valuesMissing
비상계단여부 has 35 (100.0%) missing valuesMissing
비상구여부 has 35 (100.0%) missing valuesMissing
자동환기여부 has 35 (100.0%) missing valuesMissing
청소년실여부 has 35 (100.0%) missing valuesMissing
특수조명여부 has 35 (100.0%) missing valuesMissing
방음시설여부 has 35 (100.0%) missing valuesMissing
조명시설유무 has 35 (100.0%) missing valuesMissing
음향시설여부 has 35 (100.0%) missing valuesMissing
편의시설여부 has 35 (100.0%) missing valuesMissing
소방시설여부 has 35 (100.0%) missing valuesMissing
총게임기수 has 35 (100.0%) missing valuesMissing
기존게임업외업종명 has 35 (100.0%) missing valuesMissing
제공게임물명 has 35 (100.0%) missing valuesMissing
공연장형태구분명 has 35 (100.0%) missing valuesMissing
품목명 has 35 (100.0%) missing valuesMissing
최초등록시점 has 35 (100.0%) missing valuesMissing
지역구분명 has 30 (85.7%) missing valuesMissing
관리번호 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소 has unique valuesUnique
좌표정보(X) has unique valuesUnique
좌표정보(Y) has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 4 (11.4%) zerosZeros
시설면적 has 12 (34.3%) zerosZeros

Reproduction

Analysis started2024-05-11 06:38:32.068120
Analysis finished2024-05-11 06:38:32.797564
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
3150000
35 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3150000
2nd row3150000
3rd row3150000
4th row3150000
5th row3150000

Common Values

ValueCountFrequency (%)
3150000 35
100.0%

Length

2024-05-11T15:38:32.901508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:33.061532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3150000 35
100.0%

관리번호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-05-11T15:38:33.399268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters700
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

Unique35 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011995000001
2nd rowCDFF1242011996000001
3rd rowCDFF1242011996000002
4th rowCDFF1242011996000003
5th rowCDFF1242011996000004
ValueCountFrequency (%)
cdff1242011995000001 1
 
2.9%
cdff1242012001000001 1
 
2.9%
cdff1242012001000003 1
 
2.9%
cdff1242012001000004 1
 
2.9%
cdff1242012001000005 1
 
2.9%
cdff1242012001000006 1
 
2.9%
cdff1242012002000001 1
 
2.9%
cdff1242012002000002 1
 
2.9%
cdff1242012001000002 1
 
2.9%
cdff1242012003000001 1
 
2.9%
Other values (25) 25
71.4%
2024-05-11T15:38:33.965753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 242
34.6%
1 108
15.4%
2 96
 
13.7%
F 70
 
10.0%
4 41
 
5.9%
9 37
 
5.3%
C 35
 
5.0%
D 35
 
5.0%
6 14
 
2.0%
3 9
 
1.3%
Other values (3) 13
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
80.0%
Uppercase Letter 140
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 242
43.2%
1 108
19.3%
2 96
 
17.1%
4 41
 
7.3%
9 37
 
6.6%
6 14
 
2.5%
3 9
 
1.6%
5 6
 
1.1%
7 6
 
1.1%
8 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 70
50.0%
C 35
25.0%
D 35
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 560
80.0%
Latin 140
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 242
43.2%
1 108
19.3%
2 96
 
17.1%
4 41
 
7.3%
9 37
 
6.6%
6 14
 
2.5%
3 9
 
1.6%
5 6
 
1.1%
7 6
 
1.1%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
F 70
50.0%
C 35
25.0%
D 35
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 242
34.6%
1 108
15.4%
2 96
 
13.7%
F 70
 
10.0%
4 41
 
5.9%
9 37
 
5.3%
C 35
 
5.0%
D 35
 
5.0%
6 14
 
2.0%
3 9
 
1.3%
Other values (3) 13
 
1.9%

인허가일자
Real number (ℝ)

Distinct31
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19995071
Minimum19951206
Maximum20100511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T15:38:34.175656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19951206
5-th percentile19960906
Q119960912
median19971118
Q320025515
95-th percentile20044074
Maximum20100511
Range149305
Interquartile range (IQR)64603.5

Descriptive statistics

Standard deviation36908.905
Coefficient of variation (CV)0.0018459002
Kurtosis-0.010550814
Mean19995071
Median Absolute Deviation (MAD)19912
Skewness0.73803041
Sum6.9982747 × 108
Variance1.3622673 × 109
MonotonicityNot monotonic
2024-05-11T15:38:34.458631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
19960906 5
 
14.3%
19951206 1
 
2.9%
20010118 1
 
2.9%
20100511 1
 
2.9%
20050714 1
 
2.9%
20041228 1
 
2.9%
20041223 1
 
2.9%
20031212 1
 
2.9%
20030909 1
 
2.9%
20030307 1
 
2.9%
Other values (21) 21
60.0%
ValueCountFrequency (%)
19951206 1
 
2.9%
19960905 1
 
2.9%
19960906 5
14.3%
19960909 1
 
2.9%
19960910 1
 
2.9%
19960913 1
 
2.9%
19960918 1
 
2.9%
19961204 1
 
2.9%
19961217 1
 
2.9%
19970529 1
 
2.9%
ValueCountFrequency (%)
20100511 1
2.9%
20050714 1
2.9%
20041228 1
2.9%
20041223 1
2.9%
20031212 1
2.9%
20030909 1
2.9%
20030401 1
2.9%
20030331 1
2.9%
20030307 1
2.9%
20020723 1
2.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
3
29 
1
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 29
82.9%
1 6
 
17.1%

Length

2024-05-11T15:38:34.770436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:35.030536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 29
82.9%
1 6
 
17.1%

영업상태명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
폐업
29 
영업/정상
6 

Length

Max length5
Median length2
Mean length2.5142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 29
82.9%
영업/정상 6
 
17.1%

Length

2024-05-11T15:38:35.322307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:35.590148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 29
82.9%
영업/정상 6
 
17.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
3
29 
13
6 

Length

Max length2
Median length1
Mean length1.1714286
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 29
82.9%
13 6
 
17.1%

Length

2024-05-11T15:38:35.873226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:36.153320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 29
82.9%
13 6
 
17.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
폐업
29 
영업중
6 

Length

Max length3
Median length2
Mean length2.1714286
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 29
82.9%
영업중 6
 
17.1%

Length

2024-05-11T15:38:36.429208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:36.744054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 29
82.9%
영업중 6
 
17.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing6
Missing (%)17.1%
Infinite0
Infinite (%)0.0%
Mean20058291
Minimum20010601
Maximum20180115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T15:38:36.948971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010601
5-th percentile20010818
Q120020816
median20050428
Q320080613
95-th percentile20130563
Maximum20180115
Range169514
Interquartile range (IQR)59797

Descriptive statistics

Standard deviation43887.464
Coefficient of variation (CV)0.0021879962
Kurtosis0.65169966
Mean20058291
Median Absolute Deviation (MAD)30019
Skewness0.99256583
Sum5.8169044 × 108
Variance1.9261095 × 109
MonotonicityNot monotonic
2024-05-11T15:38:37.208592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20010816 1
 
2.9%
20110310 1
 
2.9%
20060518 1
 
2.9%
20180115 1
 
2.9%
20130731 1
 
2.9%
20120409 1
 
2.9%
20130311 1
 
2.9%
20061213 1
 
2.9%
20040614 1
 
2.9%
20081121 1
 
2.9%
Other values (19) 19
54.3%
(Missing) 6
 
17.1%
ValueCountFrequency (%)
20010601 1
2.9%
20010816 1
2.9%
20010820 1
2.9%
20011018 1
2.9%
20011113 1
2.9%
20011114 1
2.9%
20020409 1
2.9%
20020816 1
2.9%
20021127 1
2.9%
20040211 1
2.9%
ValueCountFrequency (%)
20180115 1
2.9%
20130731 1
2.9%
20130311 1
2.9%
20120409 1
2.9%
20110310 1
2.9%
20090730 1
2.9%
20081121 1
2.9%
20080613 1
2.9%
20080121 1
2.9%
20071211 1
2.9%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

전화번호
Text

MISSING 

Distinct30
Distinct (%)96.8%
Missing4
Missing (%)11.4%
Memory size412.0 B
2024-05-11T15:38:37.534608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.4516129
Min length8

Characters and Unicode

Total characters262
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

Unique29 ?
Unique (%)93.5%

Sample

1st row693-5115
2nd row654-3114
3rd row651-2952
4th row697-8182
5th row694-9643
ValueCountFrequency (%)
697-8182 2
 
6.5%
691-4104 1
 
3.2%
693-5115 1
 
3.2%
2694-9591 1
 
3.2%
2658-9095 1
 
3.2%
2694-3952 1
 
3.2%
2605-9199 1
 
3.2%
2651-9178 1
 
3.2%
2601-8948 1
 
3.2%
2607-5341 1
 
3.2%
Other values (20) 20
64.5%
2024-05-11T15:38:38.116163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 45
17.2%
9 33
12.6%
- 31
11.8%
5 24
9.2%
2 23
8.8%
1 22
8.4%
4 20
7.6%
8 17
 
6.5%
7 16
 
6.1%
3 16
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 231
88.2%
Dash Punctuation 31
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 45
19.5%
9 33
14.3%
5 24
10.4%
2 23
10.0%
1 22
9.5%
4 20
8.7%
8 17
 
7.4%
7 16
 
6.9%
3 16
 
6.9%
0 15
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 262
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 45
17.2%
9 33
12.6%
- 31
11.8%
5 24
9.2%
2 23
8.8%
1 22
8.4%
4 20
7.6%
8 17
 
6.5%
7 16
 
6.1%
3 16
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 262
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 45
17.2%
9 33
12.6%
- 31
11.8%
5 24
9.2%
2 23
8.8%
1 22
8.4%
4 20
7.6%
8 17
 
6.5%
7 16
 
6.1%
3 16
 
6.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)74.2%
Missing4
Missing (%)11.4%
Infinite0
Infinite (%)0.0%
Mean157839.03
Minimum157030
Maximum157928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T15:38:38.400520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum157030
5-th percentile157545.5
Q1157861
median157884
Q3157908.5
95-th percentile157928
Maximum157928
Range898
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation188.23203
Coefficient of variation (CV)0.0011925569
Kurtosis13.756618
Mean157839.03
Median Absolute Deviation (MAD)25
Skewness-3.7268214
Sum4893010
Variance35431.299
MonotonicityNot monotonic
2024-05-11T15:38:38.598234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
157897 5
 
14.3%
157928 3
 
8.6%
157880 2
 
5.7%
157916 2
 
5.7%
157812 1
 
2.9%
157925 1
 
2.9%
157902 1
 
2.9%
157924 1
 
2.9%
157840 1
 
2.9%
157881 1
 
2.9%
Other values (13) 13
37.1%
(Missing) 4
 
11.4%
ValueCountFrequency (%)
157030 1
2.9%
157280 1
2.9%
157811 1
2.9%
157812 1
2.9%
157835 1
2.9%
157840 1
2.9%
157842 1
2.9%
157850 1
2.9%
157872 1
2.9%
157879 1
2.9%
ValueCountFrequency (%)
157928 3
8.6%
157925 1
 
2.9%
157924 1
 
2.9%
157916 2
 
5.7%
157909 1
 
2.9%
157908 1
 
2.9%
157902 1
 
2.9%
157897 5
14.3%
157884 1
 
2.9%
157883 1
 
2.9%

지번주소
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-05-11T15:38:39.014074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length24.542857
Min length22

Characters and Unicode

Total characters859
Distinct characters38
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

Unique35 ?
Unique (%)100.0%

Sample

1st row서울특별시 강서구 내발산동 723-6번지
2nd row서울특별시 강서구 화곡동 778-3번지
3rd row서울특별시 강서구 화곡동 775-11번지
4th row서울특별시 강서구 화곡동 898-5번지
5th row서울특별시 강서구 화곡동 987-7번지
ValueCountFrequency (%)
서울특별시 35
22.7%
강서구 35
22.7%
화곡동 26
16.9%
3층 6
 
3.9%
등촌동 4
 
2.6%
지층 2
 
1.3%
내발산동 2
 
1.3%
공항동 2
 
1.3%
18통4반 1
 
0.6%
680-2번지 1
 
0.6%
Other values (40) 40
26.0%
2024-05-11T15:38:39.664720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
17.9%
서 70
 
8.1%
지 37
 
4.3%
- 35
 
4.1%
특 35
 
4.1%
별 35
 
4.1%
시 35
 
4.1%
강 35
 
4.1%
구 35
 
4.1%
1 35
 
4.1%
Other values (28) 353
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 479
55.8%
Decimal Number 185
 
21.5%
Space Separator 154
 
17.9%
Dash Punctuation 35
 
4.1%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 70
14.6%
지 37
7.7%
특 35
 
7.3%
별 35
 
7.3%
시 35
 
7.3%
강 35
 
7.3%
구 35
 
7.3%
울 35
 
7.3%
동 35
 
7.3%
번 35
 
7.3%
Other values (14) 92
19.2%
Decimal Number
ValueCountFrequency (%)
1 35
18.9%
3 22
11.9%
7 22
11.9%
6 19
10.3%
2 19
10.3%
8 18
9.7%
5 17
9.2%
4 13
 
7.0%
0 12
 
6.5%
9 8
 
4.3%
Space Separator
ValueCountFrequency (%)
154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 479
55.8%
Common 380
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 70
14.6%
지 37
7.7%
특 35
 
7.3%
별 35
 
7.3%
시 35
 
7.3%
강 35
 
7.3%
구 35
 
7.3%
울 35
 
7.3%
동 35
 
7.3%
번 35
 
7.3%
Other values (14) 92
19.2%
Common
ValueCountFrequency (%)
154
40.5%
- 35
 
9.2%
1 35
 
9.2%
3 22
 
5.8%
7 22
 
5.8%
6 19
 
5.0%
2 19
 
5.0%
8 18
 
4.7%
5 17
 
4.5%
4 13
 
3.4%
Other values (4) 26
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 479
55.8%
ASCII 380
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
40.5%
- 35
 
9.2%
1 35
 
9.2%
3 22
 
5.8%
7 22
 
5.8%
6 19
 
5.0%
2 19
 
5.0%
8 18
 
4.7%
5 17
 
4.5%
4 13
 
3.4%
Other values (4) 26
 
6.8%
Hangul
ValueCountFrequency (%)
서 70
14.6%
지 37
7.7%
특 35
 
7.3%
별 35
 
7.3%
시 35
 
7.3%
강 35
 
7.3%
구 35
 
7.3%
울 35
 
7.3%
동 35
 
7.3%
번 35
 
7.3%
Other values (14) 92
19.2%

도로명주소
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-05-11T15:38:40.060219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length30
Mean length26.457143
Min length23

Characters and Unicode

Total characters926
Distinct characters48
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

Unique35 ?
Unique (%)100.0%

Sample

1st row서울특별시 강서구 강서로45나길 12 (내발산동)
2nd row서울특별시 강서구 곰달래로 269 (화곡동)
3rd row서울특별시 강서구 등촌로5길 8 (화곡동)
4th row서울특별시 강서구 강서로 21 (화곡동)
5th row서울특별시 강서구 화곡로 289 (화곡동)
ValueCountFrequency (%)
서울특별시 35
19.7%
강서구 35
19.7%
화곡동 20
 
11.2%
강서로 6
 
3.4%
화곡로 5
 
2.8%
화곡동,3층 5
 
2.8%
곰달래로 5
 
2.8%
등촌로 2
 
1.1%
공항대로 2
 
1.1%
공항대로46길 2
 
1.1%
Other values (54) 61
34.3%
2024-05-11T15:38:40.637858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
19.0%
서 79
 
8.5%
강 44
 
4.8%
로 39
 
4.2%
( 38
 
4.1%
) 38
 
4.1%
동 36
 
3.9%
시 35
 
3.8%
구 35
 
3.8%
별 35
 
3.8%
Other values (38) 371
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 543
58.6%
Space Separator 176
 
19.0%
Decimal Number 118
 
12.7%
Open Punctuation 38
 
4.1%
Close Punctuation 38
 
4.1%
Other Punctuation 10
 
1.1%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 79
14.5%
강 44
 
8.1%
로 39
 
7.2%
동 36
 
6.6%
시 35
 
6.4%
구 35
 
6.4%
별 35
 
6.4%
화 35
 
6.4%
특 35
 
6.4%
울 35
 
6.4%
Other values (23) 135
24.9%
Decimal Number
ValueCountFrequency (%)
3 19
16.1%
1 18
15.3%
2 17
14.4%
4 15
12.7%
6 13
11.0%
5 12
10.2%
8 8
6.8%
9 8
6.8%
7 4
 
3.4%
0 4
 
3.4%
Space Separator
ValueCountFrequency (%)
176
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 543
58.6%
Common 383
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 79
14.5%
강 44
 
8.1%
로 39
 
7.2%
동 36
 
6.6%
시 35
 
6.4%
구 35
 
6.4%
별 35
 
6.4%
화 35
 
6.4%
특 35
 
6.4%
울 35
 
6.4%
Other values (23) 135
24.9%
Common
ValueCountFrequency (%)
176
46.0%
( 38
 
9.9%
) 38
 
9.9%
3 19
 
5.0%
1 18
 
4.7%
2 17
 
4.4%
4 15
 
3.9%
6 13
 
3.4%
5 12
 
3.1%
, 10
 
2.6%
Other values (5) 27
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 543
58.6%
ASCII 383
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
46.0%
( 38
 
9.9%
) 38
 
9.9%
3 19
 
5.0%
1 18
 
4.7%
2 17
 
4.4%
4 15
 
3.9%
6 13
 
3.4%
5 12
 
3.1%
, 10
 
2.6%
Other values (5) 27
 
7.0%
Hangul
ValueCountFrequency (%)
서 79
14.5%
강 44
 
8.1%
로 39
 
7.2%
동 36
 
6.6%
시 35
 
6.4%
구 35
 
6.4%
별 35
 
6.4%
화 35
 
6.4%
특 35
 
6.4%
울 35
 
6.4%
Other values (23) 135
24.9%

도로명우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
34 
7654
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
97.1%
7654 1
 
2.9%

Length

2024-05-11T15:38:40.910449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:41.072493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
97.1%
7654 1
 
2.9%

사업장명
Text

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-05-11T15:38:41.366323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.8
Min length2

Characters and Unicode

Total characters238
Distinct characters76
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)91.4%

Sample

1st row솔비디오방
2nd row4차원비디오방
3rd row그린비디오방
4th row명화비디오방
5th row영웅비디오방
ValueCountFrequency (%)
스크린비디오방 3
 
7.3%
dvd방 2
 
4.9%
21세기비디오방 1
 
2.4%
명보영화관 1
 
2.4%
c2u 1
 
2.4%
dvd 1
 
2.4%
zone 1
 
2.4%
월시네마영화방 1
 
2.4%
미로영화방 1
 
2.4%
팝스디브이디영화관 1
 
2.4%
Other values (28) 28
68.3%
2024-05-11T15:38:41.935114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
디 25
 
10.5%
오 23
 
9.7%
방 23
 
9.7%
비 22
 
9.2%
영 9
 
3.8%
스 8
 
3.4%
화 8
 
3.4%
D 8
 
3.4%
상 7
 
2.9%
6
 
2.5%
Other values (66) 99
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
87.0%
Uppercase Letter 18
 
7.6%
Space Separator 6
 
2.5%
Decimal Number 6
 
2.5%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 25
 
12.1%
오 23
 
11.1%
방 23
 
11.1%
비 22
 
10.6%
영 9
 
4.3%
스 8
 
3.9%
화 8
 
3.9%
상 7
 
3.4%
실 5
 
2.4%
감 5
 
2.4%
Other values (52) 72
34.8%
Uppercase Letter
ValueCountFrequency (%)
D 8
44.4%
V 4
22.2%
E 1
 
5.6%
N 1
 
5.6%
O 1
 
5.6%
Z 1
 
5.6%
U 1
 
5.6%
C 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 1
 
16.7%
5 1
 
16.7%
4 1
 
16.7%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
87.0%
Latin 18
 
7.6%
Common 13
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 25
 
12.1%
오 23
 
11.1%
방 23
 
11.1%
비 22
 
10.6%
영 9
 
4.3%
스 8
 
3.9%
화 8
 
3.9%
상 7
 
3.4%
실 5
 
2.4%
감 5
 
2.4%
Other values (52) 72
34.8%
Latin
ValueCountFrequency (%)
D 8
44.4%
V 4
22.2%
E 1
 
5.6%
N 1
 
5.6%
O 1
 
5.6%
Z 1
 
5.6%
U 1
 
5.6%
C 1
 
5.6%
Common
ValueCountFrequency (%)
6
46.2%
2 3
23.1%
1 1
 
7.7%
5 1
 
7.7%
4 1
 
7.7%
? 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
87.0%
ASCII 31
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
디 25
 
12.1%
오 23
 
11.1%
방 23
 
11.1%
비 22
 
10.6%
영 9
 
4.3%
스 8
 
3.9%
화 8
 
3.9%
상 7
 
3.4%
실 5
 
2.4%
감 5
 
2.4%
Other values (52) 72
34.8%
ASCII
ValueCountFrequency (%)
D 8
25.8%
6
19.4%
V 4
12.9%
2 3
 
9.7%
E 1
 
3.2%
N 1
 
3.2%
O 1
 
3.2%
Z 1
 
3.2%
U 1
 
3.2%
1 1
 
3.2%
Other values (4) 4
12.9%

최종수정일자
Date

Distinct27
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2003-04-18 11:50:44
Maximum2019-07-10 09:09:50
2024-05-11T15:38:42.124804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:38:42.344359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
I
34 
U
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
I 34
97.1%
U 1
 
2.9%

Length

2024-05-11T15:38:42.544848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:42.708104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 34
97.1%
u 1
 
2.9%

데이터갱신일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
2018-08-31 23:59:59.0
34 
2019-07-12 02:40:00.0
 
1

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique1 ?
Unique (%)2.9%

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 34
97.1%
2019-07-12 02:40:00.0 1
 
2.9%

Length

2024-05-11T15:38:43.009246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:43.178168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 34
48.6%
23:59:59.0 34
48.6%
2019-07-12 1
 
1.4%
02:40:00.0 1
 
1.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

좌표정보(X)
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186359.09
Minimum183205.51
Maximum187888.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T15:38:43.420058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum183205.51
5-th percentile183234.59
Q1185704.07
median186455.63
Q3187129.82
95-th percentile187841.54
Maximum187888.38
Range4682.8623
Interquartile range (IQR)1425.7547

Descriptive statistics

Standard deviation1243.4856
Coefficient of variation (CV)0.0066725246
Kurtosis1.5348673
Mean186359.09
Median Absolute Deviation (MAD)741.84053
Skewness-1.151967
Sum6522568
Variance1546256.4
MonotonicityNot monotonic
2024-05-11T15:38:43.651489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
185416.995235468 1
 
2.9%
187813.535669524 1
 
2.9%
187813.225821865 1
 
2.9%
186341.392221918 1
 
2.9%
185791.395611383 1
 
2.9%
186402.816527333 1
 
2.9%
186712.751990345 1
 
2.9%
186455.628277915 1
 
2.9%
187831.703508721 1
 
2.9%
186453.187638488 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
183205.51413075 1
2.9%
183227.963853126 1
2.9%
183237.425943428 1
2.9%
185416.995235468 1
2.9%
185480.851084522 1
2.9%
185526.740191834 1
2.9%
185628.594608335 1
2.9%
185669.055133283 1
2.9%
185688.018511973 1
2.9%
185720.120822482 1
2.9%
ValueCountFrequency (%)
187888.376453234 1
2.9%
187864.485714298 1
2.9%
187831.703508721 1
2.9%
187826.825163572 1
2.9%
187813.535669524 1
2.9%
187813.225821865 1
2.9%
187801.513582377 1
2.9%
187443.327979072 1
2.9%
187197.468812217 1
2.9%
187062.179875272 1
2.9%

좌표정보(Y)
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448984.83
Minimum447517.15
Maximum452313.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T15:38:43.844104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447517.15
5-th percentile447555.7
Q1447793.02
median448518.27
Q3450065.4
95-th percentile451207.52
Maximum452313.1
Range4795.9495
Interquartile range (IQR)2272.3806

Descriptive statistics

Standard deviation1380.1649
Coefficient of variation (CV)0.0030739678
Kurtosis-0.8527932
Mean448984.83
Median Absolute Deviation (MAD)953.05063
Skewness0.59082888
Sum15714469
Variance1904855.3
MonotonicityNot monotonic
2024-05-11T15:38:44.031996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
449583.942090155 1
 
2.9%
447808.826090566 1
 
2.9%
447777.206346537 1
 
2.9%
447875.256526169 1
 
2.9%
451169.360322824 1
 
2.9%
447637.266027106 1
 
2.9%
450014.905648854 1
 
2.9%
447517.152976677 1
 
2.9%
447842.42892058 1
 
2.9%
447642.840238156 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
447517.152976677 1
2.9%
447533.491978926 1
2.9%
447565.220978163 1
2.9%
447597.039112391 1
2.9%
447637.266027106 1
2.9%
447642.840238156 1
2.9%
447729.114323802 1
2.9%
447754.593014567 1
2.9%
447777.206346537 1
2.9%
447808.826090566 1
2.9%
ValueCountFrequency (%)
452313.102504379 1
2.9%
451296.552424492 1
2.9%
451169.360322824 1
2.9%
450986.476023762 1
2.9%
450519.999405521 1
2.9%
450374.104547941 1
2.9%
450149.128774823 1
2.9%
450124.317328357 1
2.9%
450068.277076504 1
2.9%
450062.516618524 1
2.9%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
비디오물감상실업
35 

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 35
100.0%

Length

2024-05-11T15:38:44.203422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:44.361620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 35
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
유통관련업
31 
<NA>
4 

Length

Max length5
Median length5
Mean length4.8857143
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 31
88.6%
<NA> 4
 
11.4%

Length

2024-05-11T15:38:44.540072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:44.714446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 31
88.6%
na 4
 
11.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)60.0%
Missing25
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean3.6
Minimum0
Maximum9
Zeros4
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T15:38:44.875782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q36
95-th percentile8.55
Maximum9
Range9
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.5339622
Coefficient of variation (CV)0.98165617
Kurtosis-1.5917759
Mean3.6
Median Absolute Deviation (MAD)3.5
Skewness0.2628284
Sum36
Variance12.488889
MonotonicityNot monotonic
2024-05-11T15:38:45.039642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 4
 
11.4%
6 2
 
5.7%
3 1
 
2.9%
9 1
 
2.9%
8 1
 
2.9%
4 1
 
2.9%
(Missing) 25
71.4%
ValueCountFrequency (%)
0 4
11.4%
3 1
 
2.9%
4 1
 
2.9%
6 2
5.7%
8 1
 
2.9%
9 1
 
2.9%
ValueCountFrequency (%)
9 1
 
2.9%
8 1
 
2.9%
6 2
5.7%
4 1
 
2.9%
3 1
 
2.9%
0 4
11.4%

주변환경명
Categorical

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
23 
학교정화(상대)
5 
기타
4 
유흥업소밀집지역
3 

Length

Max length8
Median length4
Mean length4.6857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학교정화(상대)
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 23
65.7%
학교정화(상대) 5
 
14.3%
기타 4
 
11.4%
유흥업소밀집지역 3
 
8.6%

Length

2024-05-11T15:38:45.276501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:45.468208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 23
65.7%
학교정화(상대 5
 
14.3%
기타 4
 
11.4%
유흥업소밀집지역 3
 
8.6%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)54.2%
Missing11
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean75.136667
Minimum0
Maximum222.92
Zeros12
Zeros (%)34.3%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T15:38:45.652476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median41.47
Q3148.5675
95-th percentile195.2745
Maximum222.92
Range222.92
Interquartile range (IQR)148.5675

Descriptive statistics

Standard deviation82.195301
Coefficient of variation (CV)1.0939439
Kurtosis-1.6087811
Mean75.136667
Median Absolute Deviation (MAD)41.47
Skewness0.37185787
Sum1803.28
Variance6756.0675
MonotonicityNot monotonic
2024-05-11T15:38:45.820979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 12
34.3%
172.89 1
 
2.9%
139.83 1
 
2.9%
144.96 1
 
2.9%
179.83 1
 
2.9%
111.18 1
 
2.9%
159.39 1
 
2.9%
82.94 1
 
2.9%
222.92 1
 
2.9%
198.0 1
 
2.9%
Other values (3) 3
 
8.6%
(Missing) 11
31.4%
ValueCountFrequency (%)
0.0 12
34.3%
82.94 1
 
2.9%
83.52 1
 
2.9%
111.18 1
 
2.9%
139.83 1
 
2.9%
144.12 1
 
2.9%
144.96 1
 
2.9%
159.39 1
 
2.9%
163.7 1
 
2.9%
172.89 1
 
2.9%
ValueCountFrequency (%)
222.92 1
2.9%
198.0 1
2.9%
179.83 1
2.9%
172.89 1
2.9%
163.7 1
2.9%
159.39 1
2.9%
144.96 1
2.9%
144.12 1
2.9%
139.83 1
2.9%
111.18 1
2.9%

지상층수
Categorical

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
24 
3
4 
0
3 
7
 
2
5
 
2

Length

Max length4
Median length4
Mean length3.0571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 24
68.6%
3 4
 
11.4%
0 3
 
8.6%
7 2
 
5.7%
5 2
 
5.7%

Length

2024-05-11T15:38:46.000548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:46.194033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 24
68.6%
3 4
 
11.4%
0 3
 
8.6%
7 2
 
5.7%
5 2
 
5.7%

지하층수
Categorical

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
25 
0
5 
1
4 
2
 
1

Length

Max length4
Median length4
Mean length3.1428571
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
71.4%
0 5
 
14.3%
1 4
 
11.4%
2 1
 
2.9%

Length

2024-05-11T15:38:46.389341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:46.561552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
71.4%
0 5
 
14.3%
1 4
 
11.4%
2 1
 
2.9%

건물용도명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
25 
근린생활시설
10 

Length

Max length6
Median length4
Mean length4.5714286
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
71.4%
근린생활시설 10
 
28.6%

Length

2024-05-11T15:38:46.750999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:46.949494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
71.4%
근린생활시설 10
 
28.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

비디오재생기명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
19 
자동
16 

Length

Max length4
Median length4
Mean length3.0857143
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 19
54.3%
자동 16
45.7%

Length

2024-05-11T15:38:47.124862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:38:47.301808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
54.3%
자동 16
45.7%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

지역구분명
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing30
Missing (%)85.7%
Memory size412.0 B
2024-05-11T15:38:47.516207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters30
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row근린상업지역
2nd row일반상업지역
3rd row일반상업지역
4th row일반주거지역
5th row일반주거지역
ValueCountFrequency (%)
일반상업지역 2
40.0%
일반주거지역 2
40.0%
근린상업지역 1
20.0%
2024-05-11T15:38:47.944708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 5
16.7%
역 5
16.7%
일 4
13.3%
반 4
13.3%
상 3
10.0%
업 3
10.0%
주 2
 
6.7%
거 2
 
6.7%
근 1
 
3.3%
린 1
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 5
16.7%
역 5
16.7%
일 4
13.3%
반 4
13.3%
상 3
10.0%
업 3
10.0%
주 2
 
6.7%
거 2
 
6.7%
근 1
 
3.3%
린 1
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 5
16.7%
역 5
16.7%
일 4
13.3%
반 4
13.3%
상 3
10.0%
업 3
10.0%
주 2
 
6.7%
거 2
 
6.7%
근 1
 
3.3%
린 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 5
16.7%
역 5
16.7%
일 4
13.3%
반 4
13.3%
상 3
10.0%
업 3
10.0%
주 2
 
6.7%
거 2
 
6.7%
근 1
 
3.3%
린 1
 
3.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03150000CDFF124201199500000119951206<NA>3폐업3폐업20080121<NA><NA><NA>693-5115<NA>157835서울특별시 강서구 내발산동 723-6번지서울특별시 강서구 강서로45나길 12 (내발산동)<NA>솔비디오방2008-01-22 09:44:16I2018-08-31 23:59:59.0<NA>185416.995235449583.94209비디오물감상실업유통관련업<NA>학교정화(상대)<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>
13150000CDFF124201199600000119960905<NA>3폐업3폐업20010816<NA><NA><NA>654-3114<NA>157897서울특별시 강서구 화곡동 778-3번지서울특별시 강서구 곰달래로 269 (화곡동)<NA>4차원비디오방2003-04-30 14:40:48I2018-08-31 23:59:59.0<NA>187813.53567447808.826091비디오물감상실업유통관련업<NA><NA><NA><NA><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>
23150000CDFF124201199600000219961204<NA>3폐업3폐업20011113<NA><NA><NA>651-2952<NA>157897서울특별시 강서구 화곡동 775-11번지서울특별시 강서구 등촌로5길 8 (화곡동)<NA>그린비디오방2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>187826.825164447918.889983비디오물감상실업유통관련업<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>
33150000CDFF124201199600000319960906<NA>1영업/정상13영업중<NA><NA><NA><NA>697-8182<NA>157909서울특별시 강서구 화곡동 898-5번지서울특별시 강서구 강서로 21 (화곡동)<NA>명화비디오방2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>186448.247704447533.491979비디오물감상실업유통관련업<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>
43150000CDFF124201199600000419960906<NA>3폐업3폐업20020816<NA><NA><NA>694-9643<NA>157916서울특별시 강서구 화곡동 987-7번지서울특별시 강서구 화곡로 289 (화곡동)<NA>영웅비디오방2003-04-30 14:41:13I2018-08-31 23:59:59.0<NA>186501.147308449795.582277비디오물감상실업유통관련업<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>
53150000CDFF124201199600000519960906<NA>3폐업3폐업20071211<NA><NA><NA>664-0231<NA>157812서울특별시 강서구 공항동 42-22번지서울특별시 강서구 공항대로 34 (공항동)<NA>탑비디오방2007-12-11 16:33:22I2018-08-31 23:59:59.0<NA>183227.963853450986.476024비디오물감상실업유통관련업<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>
63150000CDFF124201199600000619960906<NA>3폐업3폐업20090730<NA><NA><NA>2605-3825<NA>157916서울특별시 강서구 화곡동 1098-9번지서울특별시 강서구 우장산로 125 (화곡동)<NA>타임 비디오방2009-07-31 15:49:55I2018-08-31 23:59:59.0<NA>186674.002558450124.317328비디오물감상실업유통관련업0<NA><NA>0.000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73150000CDFF124201199600000719960906<NA>3폐업3폐업20060607<NA><NA><NA>690-5489<NA>157882서울특별시 강서구 화곡동 354-65번지서울특별시 강서구 가로공원로76가길 2 (화곡동)<NA>멀티비디오감상실2006-06-07 11:59:48I2018-08-31 23:59:59.0<NA>185720.120822447860.383162비디오물감상실업유통관련업<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>
83150000CDFF124201199600000819960913<NA>3폐업3폐업20041102<NA><NA><NA>613-7017<NA>157811서울특별시 강서구 공항동 22-53번지서울특별시 강서구 방화동로 36-1 (공항동)<NA>탑건2004-11-02 18:12:49I2018-08-31 23:59:59.0<NA>183237.425943451296.552424비디오물감상실업유통관련업<NA>학교정화(상대)<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>
93150000CDFF124201199600000919960909<NA>3폐업3폐업20011114<NA><NA><NA>694-6664<NA>157908서울특별시 강서구 화곡동 897-20번지서울특별시 강서구 곰달래로 140-1 (화곡동)<NA>명작비디오감상실2003-04-18 11:50:44I2018-08-31 23:59:59.0<NA>186544.992412447597.039112비디오물감상실업유통관련업<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
253150000CDFF124201200200000220020723<NA>1영업/정상13영업중<NA><NA><NA><NA>697-8182<NA><NA>서울특별시 강서구 화곡동 898-16번지 3층서울특별시 강서구 강서로 21 (화곡동,3층)<NA>디지털팝콘2019-07-10 09:09:50U2019-07-12 02:40:00.0<NA>186455.628278447517.152977비디오물감상실업유통관련업0기타<NA>179.8330근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263150000CDFF124201200300000120030331<NA>3폐업3폐업20040614<NA><NA><NA>2651-9178<NA>157897서울특별시 강서구 화곡동 776-8번지서울특별시 강서구 곰달래로59길 8 (화곡동)<NA>21세기비디오방2007-04-05 11:06:07I2018-08-31 23:59:59.0<NA>187831.703509447842.428921비디오물감상실업유통관련업<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>
273150000CDFF124201200300000220030401<NA>3폐업3폐업20061213<NA><NA><NA>2605-9199<NA>157880서울특별시 강서구 화곡동 342-55번지서울특별시 강서구 강서로 34 (화곡동)<NA>시네마영화관2006-12-13 13:06:21I2018-08-31 23:59:59.0<NA>186453.187638447642.840238비디오물감상실업유통관련업<NA><NA><NA>111.18<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>
283150000CDFF124201200300000320030307<NA>3폐업3폐업20130311<NA><NA><NA>2694-3952<NA>157928서울특별시 강서구 화곡동 1117-18번지 3층 (화곡로131)서울특별시 강서구 화곡로 326 (화곡동,3층 (화곡로131))<NA>명보영화관2013-03-11 20:48:38I2018-08-31 23:59:59.0<NA>186748.439905450068.277077비디오물감상실업<NA><NA><NA><NA>159.39<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>
293150000CDFF124201200300000420030909<NA>3폐업3폐업20120409<NA><NA><NA>2658-9095<NA>157840서울특별시 강서구 등촌동 641-11번지 (2층)서울특별시 강서구 공항대로45길 44 (등촌동,(2층))<NA>팝스디브이디영화관2012-04-09 10:52:28I2018-08-31 23:59:59.0<NA>187197.468812450519.999406비디오물감상실업유통관련업9기타<NA>82.9472근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
303150000CDFF124201200300000520031212<NA>3폐업3폐업20130731<NA><NA><NA>2694-9591<NA><NA>서울특별시 강서구 화곡동 781-4번지서울특별시 강서구 등촌로 19 (화곡동)<NA>미로영화방2013-08-01 10:23:20I2018-08-31 23:59:59.0<NA>187864.485714447729.114324비디오물감상실업<NA>6기타<NA>222.9251근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
313150000CDFF124201200400000120041223<NA>3폐업3폐업20180115<NA><NA><NA>2697-4775<NA>157924서울특별시 강서구 화곡동 1066-20번지서울특별시 강서구 화곡로 149 (화곡동)<NA>월시네마영화방2018-01-15 09:42:20I2018-08-31 23:59:59.0<NA>185628.594608448796.60458비디오물감상실업유통관련업6학교정화(상대)<NA>198.051근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
323150000CDFF124201200400000220041228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강서구 화곡동 1115-8번지 4층서울특별시 강서구 공항대로46길 57, 4층 (화곡동)7654C2U DVD ZONE2014-02-25 09:56:47I2018-08-31 23:59:59.0<NA>186853.073777450149.128775비디오물감상실업<NA>8유흥업소밀집지역<NA>163.771근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
333150000CDFF124201200500000120050714<NA>3폐업3폐업20060518<NA><NA><NA><NA><NA>157902서울특별시 강서구 화곡동 839-12번지서울특별시 강서구 곰달래로 231 (화곡동)<NA>블럭버스트 DVD방2007-04-05 11:02:01I2018-08-31 23:59:59.0<NA>187443.327979447754.593015비디오물감상실업유통관련업4기타<NA>144.1231근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
343150000CDFF124201201000000120100511<NA>3폐업3폐업20110310<NA><NA><NA><NA><NA><NA>서울특별시 강서구 등촌동 505-6번지 지층 (등촌로6)서울특별시 강서구 등촌로 235 (등촌동,지층 (등촌로6))<NA>DVD감상실2011-03-10 11:36:04I2018-08-31 23:59:59.0<NA>187888.376453449856.26691비디오물감상실업<NA><NA><NA><NA>83.52<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>