Overview

Dataset statistics

Number of variables56
Number of observations67
Missing cells2224
Missing cells (%)59.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.0 KiB
Average record size in memory489.0 B

Variable types

Categorical11
Text8
Numeric8
Unsupported27
DateTime2

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-17286/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
제공게임물명 has constant value ""Constant
영업상태코드 is highly imbalanced (54.8%)Imbalance
영업상태명 is highly imbalanced (54.8%)Imbalance
상세영업상태코드 is highly imbalanced (54.8%)Imbalance
상세영업상태명 is highly imbalanced (54.8%)Imbalance
데이터갱신구분 is highly imbalanced (73.6%)Imbalance
문화체육업종명 is highly imbalanced (88.8%)Imbalance
지하층수 is highly imbalanced (60.6%)Imbalance
인허가취소일자 has 67 (100.0%) missing valuesMissing
폐업일자 has 8 (11.9%) missing valuesMissing
휴업시작일자 has 67 (100.0%) missing valuesMissing
휴업종료일자 has 67 (100.0%) missing valuesMissing
재개업일자 has 67 (100.0%) missing valuesMissing
전화번호 has 42 (62.7%) missing valuesMissing
소재지면적 has 67 (100.0%) missing valuesMissing
소재지우편번호 has 14 (20.9%) missing valuesMissing
도로명주소 has 5 (7.5%) missing valuesMissing
도로명우편번호 has 67 (100.0%) missing valuesMissing
업태구분명 has 67 (100.0%) missing valuesMissing
좌표정보(X) has 5 (7.5%) missing valuesMissing
좌표정보(Y) has 5 (7.5%) missing valuesMissing
총층수 has 56 (83.6%) missing valuesMissing
주변환경명 has 63 (94.0%) missing valuesMissing
제작취급품목내용 has 67 (100.0%) missing valuesMissing
시설면적 has 35 (52.2%) missing valuesMissing
지상층수 has 51 (76.1%) missing valuesMissing
통로너비 has 67 (100.0%) missing valuesMissing
조명시설조도 has 67 (100.0%) missing valuesMissing
노래방실수 has 67 (100.0%) missing valuesMissing
청소년실수 has 67 (100.0%) missing valuesMissing
비상계단여부 has 67 (100.0%) missing valuesMissing
비상구여부 has 67 (100.0%) missing valuesMissing
자동환기여부 has 67 (100.0%) missing valuesMissing
청소년실여부 has 67 (100.0%) missing valuesMissing
특수조명여부 has 67 (100.0%) missing valuesMissing
방음시설여부 has 67 (100.0%) missing valuesMissing
조명시설유무 has 67 (100.0%) missing valuesMissing
음향시설여부 has 67 (100.0%) missing valuesMissing
편의시설여부 has 67 (100.0%) missing valuesMissing
소방시설여부 has 67 (100.0%) missing valuesMissing
총게임기수 has 67 (100.0%) missing valuesMissing
기존게임업외업종명 has 67 (100.0%) missing valuesMissing
제공게임물명 has 66 (98.5%) missing valuesMissing
공연장형태구분명 has 67 (100.0%) missing valuesMissing
품목명 has 67 (100.0%) missing valuesMissing
최초등록시점 has 67 (100.0%) missing valuesMissing
지역구분명 has 65 (97.0%) missing valuesMissing
관리번호 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
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
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 3 (4.5%) zerosZeros
시설면적 has 18 (26.9%) zerosZeros
지상층수 has 3 (4.5%) zerosZeros

Reproduction

Analysis started2024-04-06 09:52:45.073679
Analysis finished2024-04-06 09:52:46.130379
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
3190000
67 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 67
100.0%

Length

2024-04-06T18:52:46.239746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:46.407051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 67
100.0%

관리번호
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-04-06T18:52:46.685556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1340
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

Unique67 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011995000001
2nd rowCDFF1242011996000001
3rd rowCDFF1242011996000002
4th rowCDFF1242011996000003
5th rowCDFF1242011996000004
ValueCountFrequency (%)
cdff1242011995000001 1
 
1.5%
cdff1242011999000001 1
 
1.5%
cdff1242011999000003 1
 
1.5%
cdff1242011999000004 1
 
1.5%
cdff1242011999000005 1
 
1.5%
cdff1242011999000006 1
 
1.5%
cdff1242012000000001 1
 
1.5%
cdff1242012000000002 1
 
1.5%
cdff1242012001000001 1
 
1.5%
cdff1242012001000002 1
 
1.5%
Other values (57) 57
85.1%
2024-04-06T18:52:47.338431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 440
32.8%
1 204
15.2%
2 187
14.0%
F 134
 
10.0%
9 89
 
6.6%
4 74
 
5.5%
C 67
 
5.0%
D 67
 
5.0%
6 38
 
2.8%
3 17
 
1.3%
Other values (3) 23
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1072
80.0%
Uppercase Letter 268
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 440
41.0%
1 204
19.0%
2 187
17.4%
9 89
 
8.3%
4 74
 
6.9%
6 38
 
3.5%
3 17
 
1.6%
5 11
 
1.0%
7 7
 
0.7%
8 5
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 134
50.0%
C 67
25.0%
D 67
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1072
80.0%
Latin 268
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 440
41.0%
1 204
19.0%
2 187
17.4%
9 89
 
8.3%
4 74
 
6.9%
6 38
 
3.5%
3 17
 
1.6%
5 11
 
1.0%
7 7
 
0.7%
8 5
 
0.5%
Latin
ValueCountFrequency (%)
F 134
50.0%
C 67
25.0%
D 67
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 440
32.8%
1 204
15.2%
2 187
14.0%
F 134
 
10.0%
9 89
 
6.6%
4 74
 
5.5%
C 67
 
5.0%
D 67
 
5.0%
6 38
 
2.8%
3 17
 
1.3%
Other values (3) 23
 
1.7%

인허가일자
Real number (ℝ)

Distinct53
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19992470
Minimum19950120
Maximum20080415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-04-06T18:52:47.670709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950120
5-th percentile19960909
Q119960920
median19980302
Q320020720
95-th percentile20060818
Maximum20080415
Range130295
Interquartile range (IQR)59800.5

Descriptive statistics

Standard deviation36131.007
Coefficient of variation (CV)0.0018072307
Kurtosis-0.72254601
Mean19992470
Median Absolute Deviation (MAD)19391
Skewness0.72282383
Sum1.3394955 × 109
Variance1.3054496 × 109
MonotonicityNot monotonic
2024-04-06T18:52:48.000853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19960918 4
 
6.0%
19960911 3
 
4.5%
19961030 2
 
3.0%
19961017 2
 
3.0%
19990911 2
 
3.0%
19960909 2
 
3.0%
19990913 2
 
3.0%
19960916 2
 
3.0%
19960919 2
 
3.0%
19960920 2
 
3.0%
Other values (43) 44
65.7%
ValueCountFrequency (%)
19950120 1
 
1.5%
19960902 1
 
1.5%
19960903 1
 
1.5%
19960909 2
3.0%
19960911 3
4.5%
19960913 1
 
1.5%
19960916 2
3.0%
19960918 4
6.0%
19960919 2
3.0%
19960920 2
3.0%
ValueCountFrequency (%)
20080415 1
1.5%
20070523 1
1.5%
20061110 1
1.5%
20060824 1
1.5%
20060804 1
1.5%
20051123 1
1.5%
20051121 1
1.5%
20050901 1
1.5%
20031231 1
1.5%
20031204 1
1.5%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
3
57 
1
8 
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 57
85.1%
1 8
 
11.9%
4 2
 
3.0%

Length

2024-04-06T18:52:48.412485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:48.608613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 57
85.1%
1 8
 
11.9%
4 2
 
3.0%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
폐업
57 
영업/정상
8 
취소/말소/만료/정지/중지
 
2

Length

Max length14
Median length2
Mean length2.7164179
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 57
85.1%
영업/정상 8
 
11.9%
취소/말소/만료/정지/중지 2
 
3.0%

Length

2024-04-06T18:52:48.826665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:49.046515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 57
85.1%
영업/정상 8
 
11.9%
취소/말소/만료/정지/중지 2
 
3.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
3
57 
13
8 
35
 
2

Length

Max length2
Median length1
Mean length1.1492537
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 57
85.1%
13 8
 
11.9%
35 2
 
3.0%

Length

2024-04-06T18:52:49.222626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:49.453009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 57
85.1%
13 8
 
11.9%
35 2
 
3.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
폐업
57 
영업중
8 
직권말소
 
2

Length

Max length4
Median length2
Mean length2.1791045
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 57
85.1%
영업중 8
 
11.9%
직권말소 2
 
3.0%

Length

2024-04-06T18:52:49.742781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:49.955102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 57
85.1%
영업중 8
 
11.9%
직권말소 2
 
3.0%

폐업일자
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)81.4%
Missing8
Missing (%)11.9%
Infinite0
Infinite (%)0.0%
Mean20059013
Minimum19981002
Maximum20220831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-04-06T18:52:50.133389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19981002
5-th percentile20001019
Q120021024
median20060828
Q320070921
95-th percentile20140502
Maximum20220831
Range239829
Interquartile range (IQR)49897.5

Descriptive statistics

Standard deviation44572.918
Coefficient of variation (CV)0.0022220892
Kurtosis2.9105446
Mean20059013
Median Absolute Deviation (MAD)19725
Skewness1.1684919
Sum1.1834818 × 109
Variance1.986745 × 109
MonotonicityNot monotonic
2024-04-06T18:52:50.375392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
20070824 6
 
9.0%
20050712 3
 
4.5%
20010508 2
 
3.0%
20060712 2
 
3.0%
20080924 2
 
3.0%
20070816 2
 
3.0%
20021129 1
 
1.5%
20071018 1
 
1.5%
20020918 1
 
1.5%
20090903 1
 
1.5%
Other values (38) 38
56.7%
(Missing) 8
 
11.9%
ValueCountFrequency (%)
19981002 1
1.5%
19981020 1
1.5%
20000919 1
1.5%
20001030 1
1.5%
20010304 1
1.5%
20010508 2
3.0%
20010712 1
1.5%
20010719 1
1.5%
20010821 1
1.5%
20020123 1
1.5%
ValueCountFrequency (%)
20220831 1
1.5%
20190717 1
1.5%
20140514 1
1.5%
20140501 1
1.5%
20130417 1
1.5%
20100420 1
1.5%
20100122 1
1.5%
20090903 1
1.5%
20080924 2
3.0%
20080708 1
1.5%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

전화번호
Text

MISSING 

Distinct25
Distinct (%)100.0%
Missing42
Missing (%)62.7%
Memory size668.0 B
2024-04-06T18:52:50.816725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length8
Mean length8.32
Min length5

Characters and Unicode

Total characters208
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row823-9722
2nd row813-7444
3rd row595-7334
4th row815-4021
5th row815-1273
ValueCountFrequency (%)
823-9722 1
 
4.0%
844-3165 1
 
4.0%
816-4958 1
 
4.0%
823-3372 1
 
4.0%
826-6132 1
 
4.0%
816-4955 1
 
4.0%
816-2228 1
 
4.0%
813-0601 1
 
4.0%
815-5183 1
 
4.0%
537-6550 1
 
4.0%
Other values (15) 15
60.0%
2024-04-06T18:52:51.436660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 27
13.0%
- 27
13.0%
3 23
11.1%
1 23
11.1%
2 20
9.6%
4 20
9.6%
5 18
8.7%
7 15
7.2%
6 13
6.2%
0 11
5.3%
Other values (3) 11
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 179
86.1%
Dash Punctuation 27
 
13.0%
Open Punctuation 1
 
0.5%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 27
15.1%
3 23
12.8%
1 23
12.8%
2 20
11.2%
4 20
11.2%
5 18
10.1%
7 15
8.4%
6 13
7.3%
0 11
6.1%
9 9
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 208
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 27
13.0%
- 27
13.0%
3 23
11.1%
1 23
11.1%
2 20
9.6%
4 20
9.6%
5 18
8.7%
7 15
7.2%
6 13
6.2%
0 11
5.3%
Other values (3) 11
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 208
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 27
13.0%
- 27
13.0%
3 23
11.1%
1 23
11.1%
2 20
9.6%
4 20
9.6%
5 18
8.7%
7 15
7.2%
6 13
6.2%
0 11
5.3%
Other values (3) 11
5.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)32.1%
Missing14
Missing (%)20.9%
Infinite0
Infinite (%)0.0%
Mean156763.13
Minimum156030
Maximum156877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-04-06T18:52:51.643807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156030
5-th percentile156030
Q1156801
median156813
Q3156849
95-th percentile156861
Maximum156877
Range847
Interquartile range (IQR)48

Descriptive statistics

Standard deviation212.9032
Coefficient of variation (CV)0.0013581203
Kurtosis8.9734659
Mean156763.13
Median Absolute Deviation (MAD)12
Skewness-3.2294216
Sum8308446
Variance45327.771
MonotonicityNot monotonic
2024-04-06T18:52:51.854725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
156801 12
17.9%
156861 8
11.9%
156816 7
10.4%
156800 6
9.0%
156030 4
 
6.0%
156860 3
 
4.5%
156804 2
 
3.0%
156802 2
 
3.0%
156821 1
 
1.5%
156877 1
 
1.5%
Other values (7) 7
10.4%
(Missing) 14
20.9%
ValueCountFrequency (%)
156030 4
 
6.0%
156800 6
9.0%
156801 12
17.9%
156802 2
 
3.0%
156804 2
 
3.0%
156813 1
 
1.5%
156815 1
 
1.5%
156816 7
10.4%
156821 1
 
1.5%
156825 1
 
1.5%
ValueCountFrequency (%)
156877 1
 
1.5%
156861 8
11.9%
156860 3
 
4.5%
156852 1
 
1.5%
156849 1
 
1.5%
156843 1
 
1.5%
156827 1
 
1.5%
156825 1
 
1.5%
156821 1
 
1.5%
156816 7
10.4%

지번주소
Text

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-04-06T18:52:52.287368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length25.044776
Min length20

Characters and Unicode

Total characters1678
Distinct characters63
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

Unique65 ?
Unique (%)97.0%

Sample

1st row서울특별시 동작구 흑석동 106-11번지
2nd row서울특별시 동작구 노량진동 119-144번지
3rd row서울특별시 동작구 흑석동 184-21번지
4th row서울특별시 동작구 노량진동 211-35번지
5th row서울특별시 동작구 흑석동 207-26번지
ValueCountFrequency (%)
서울특별시 67
22.8%
동작구 67
22.8%
노량진동 28
 
9.5%
사당동 15
 
5.1%
흑석동 13
 
4.4%
상도동 8
 
2.7%
신대방동 3
 
1.0%
지층 2
 
0.7%
3층 2
 
0.7%
2층 2
 
0.7%
Other values (82) 87
29.6%
2024-04-06T18:52:52.976504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
291
17.3%
동 134
 
8.0%
1 96
 
5.7%
지 70
 
4.2%
서 67
 
4.0%
구 67
 
4.0%
- 67
 
4.0%
울 67
 
4.0%
작 67
 
4.0%
시 67
 
4.0%
Other values (53) 685
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 957
57.0%
Decimal Number 351
 
20.9%
Space Separator 291
 
17.3%
Dash Punctuation 67
 
4.0%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 3
 
0.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 134
14.0%
지 70
 
7.3%
서 67
 
7.0%
구 67
 
7.0%
울 67
 
7.0%
작 67
 
7.0%
시 67
 
7.0%
별 67
 
7.0%
특 67
 
7.0%
번 66
 
6.9%
Other values (35) 218
22.8%
Decimal Number
ValueCountFrequency (%)
1 96
27.4%
2 48
13.7%
4 38
 
10.8%
9 33
 
9.4%
3 31
 
8.8%
5 27
 
7.7%
0 23
 
6.6%
6 20
 
5.7%
8 19
 
5.4%
7 16
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
M 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
291
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 957
57.0%
Common 718
42.8%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 134
14.0%
지 70
 
7.3%
서 67
 
7.0%
구 67
 
7.0%
울 67
 
7.0%
작 67
 
7.0%
시 67
 
7.0%
별 67
 
7.0%
특 67
 
7.0%
번 66
 
6.9%
Other values (35) 218
22.8%
Common
ValueCountFrequency (%)
291
40.5%
1 96
 
13.4%
- 67
 
9.3%
2 48
 
6.7%
4 38
 
5.3%
9 33
 
4.6%
3 31
 
4.3%
5 27
 
3.8%
0 23
 
3.2%
6 20
 
2.8%
Other values (5) 44
 
6.1%
Latin
ValueCountFrequency (%)
D 1
33.3%
M 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 957
57.0%
ASCII 721
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
291
40.4%
1 96
 
13.3%
- 67
 
9.3%
2 48
 
6.7%
4 38
 
5.3%
9 33
 
4.6%
3 31
 
4.3%
5 27
 
3.7%
0 23
 
3.2%
6 20
 
2.8%
Other values (8) 47
 
6.5%
Hangul
ValueCountFrequency (%)
동 134
14.0%
지 70
 
7.3%
서 67
 
7.0%
구 67
 
7.0%
울 67
 
7.0%
작 67
 
7.0%
시 67
 
7.0%
별 67
 
7.0%
특 67
 
7.0%
번 66
 
6.9%
Other values (35) 218
22.8%

도로명주소
Text

MISSING 

Distinct61
Distinct (%)98.4%
Missing5
Missing (%)7.5%
Memory size668.0 B
2024-04-06T18:52:53.444785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length43
Mean length27.935484
Min length22

Characters and Unicode

Total characters1732
Distinct characters77
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

Unique60 ?
Unique (%)96.8%

Sample

1st row서울특별시 동작구 서달로15길 18 (흑석동)
2nd row서울특별시 동작구 만양로 90-1 (노량진동)
3rd row서울특별시 동작구 흑석로 101-5 (흑석동)
4th row서울특별시 동작구 만양로14다길 17 (노량진동)
5th row서울특별시 동작구 흑석로6길 23 (흑석동)
ValueCountFrequency (%)
서울특별시 62
19.7%
동작구 62
19.7%
노량진동 22
 
7.0%
사당동 10
 
3.2%
흑석동 9
 
2.9%
만양로 6
 
1.9%
흑석로 5
 
1.6%
만양로14가길 5
 
1.6%
만양로18길 5
 
1.6%
18 4
 
1.3%
Other values (95) 125
39.7%
2024-04-06T18:52:54.114249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
309
17.8%
동 137
 
7.9%
작 75
 
4.3%
) 65
 
3.8%
1 65
 
3.8%
( 65
 
3.8%
서 64
 
3.7%
시 63
 
3.6%
별 62
 
3.6%
울 62
 
3.6%
Other values (67) 765
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1017
58.7%
Space Separator 309
 
17.8%
Decimal Number 241
 
13.9%
Close Punctuation 65
 
3.8%
Open Punctuation 65
 
3.8%
Other Punctuation 21
 
1.2%
Dash Punctuation 11
 
0.6%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 137
13.5%
작 75
 
7.4%
서 64
 
6.3%
시 63
 
6.2%
별 62
 
6.1%
울 62
 
6.1%
로 62
 
6.1%
특 62
 
6.1%
구 62
 
6.1%
길 42
 
4.1%
Other values (49) 326
32.1%
Decimal Number
ValueCountFrequency (%)
1 65
27.0%
2 40
16.6%
4 25
 
10.4%
8 20
 
8.3%
6 17
 
7.1%
0 17
 
7.1%
7 15
 
6.2%
3 15
 
6.2%
9 14
 
5.8%
5 13
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
M 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
309
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1017
58.7%
Common 712
41.1%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 137
13.5%
작 75
 
7.4%
서 64
 
6.3%
시 63
 
6.2%
별 62
 
6.1%
울 62
 
6.1%
로 62
 
6.1%
특 62
 
6.1%
구 62
 
6.1%
길 42
 
4.1%
Other values (49) 326
32.1%
Common
ValueCountFrequency (%)
309
43.4%
) 65
 
9.1%
1 65
 
9.1%
( 65
 
9.1%
2 40
 
5.6%
4 25
 
3.5%
, 21
 
2.9%
8 20
 
2.8%
6 17
 
2.4%
0 17
 
2.4%
Other values (5) 68
 
9.6%
Latin
ValueCountFrequency (%)
D 1
33.3%
M 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1017
58.7%
ASCII 715
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
309
43.2%
) 65
 
9.1%
1 65
 
9.1%
( 65
 
9.1%
2 40
 
5.6%
4 25
 
3.5%
, 21
 
2.9%
8 20
 
2.8%
6 17
 
2.4%
0 17
 
2.4%
Other values (8) 71
 
9.9%
Hangul
ValueCountFrequency (%)
동 137
13.5%
작 75
 
7.4%
서 64
 
6.3%
시 63
 
6.2%
별 62
 
6.1%
울 62
 
6.1%
로 62
 
6.1%
특 62
 
6.1%
구 62
 
6.1%
길 42
 
4.1%
Other values (49) 326
32.1%

도로명우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

사업장명
Text

Distinct65
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2024-04-06T18:52:54.564463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.641791
Min length5

Characters and Unicode

Total characters512
Distinct characters130
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

Unique63 ?
Unique (%)94.0%

Sample

1st row중앙비디오
2nd row영상 비디오방
3rd row리조이스 비디오방
4th row떼떼 비디오방
5th row학사 비디오방
ValueCountFrequency (%)
비디오방 37
32.7%
dvd 3
 
2.7%
영상 2
 
1.8%
신세계 2
 
1.8%
dvd키네마 1
 
0.9%
드림워커dvd비디오방 1
 
0.9%
천국 1
 
0.9%
dvd시네마 1
 
0.9%
비디오뱅크 1
 
0.9%
4차원비디오감상실 1
 
0.9%
Other values (63) 63
55.8%
2024-04-06T18:52:55.238895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 54
 
10.5%
디 53
 
10.4%
오 50
 
9.8%
46
 
9.0%
방 45
 
8.8%
D 28
 
5.5%
V 14
 
2.7%
영 10
 
2.0%
스 10
 
2.0%
네 7
 
1.4%
Other values (120) 195
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 412
80.5%
Space Separator 46
 
9.0%
Uppercase Letter 46
 
9.0%
Decimal Number 4
 
0.8%
Dash Punctuation 1
 
0.2%
Lowercase Letter 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 54
 
13.1%
디 53
 
12.9%
오 50
 
12.1%
방 45
 
10.9%
영 10
 
2.4%
스 10
 
2.4%
네 7
 
1.7%
마 7
 
1.7%
상 6
 
1.5%
화 6
 
1.5%
Other values (105) 164
39.8%
Uppercase Letter
ValueCountFrequency (%)
D 28
60.9%
V 14
30.4%
E 1
 
2.2%
K 1
 
2.2%
A 1
 
2.2%
T 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
4 1
25.0%
5 1
25.0%
1 1
25.0%
2 1
25.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 412
80.5%
Common 53
 
10.4%
Latin 47
 
9.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 54
 
13.1%
디 53
 
12.9%
오 50
 
12.1%
방 45
 
10.9%
영 10
 
2.4%
스 10
 
2.4%
네 7
 
1.7%
마 7
 
1.7%
상 6
 
1.5%
화 6
 
1.5%
Other values (105) 164
39.8%
Common
ValueCountFrequency (%)
46
86.8%
4 1
 
1.9%
5 1
 
1.9%
- 1
 
1.9%
1 1
 
1.9%
2 1
 
1.9%
) 1
 
1.9%
( 1
 
1.9%
Latin
ValueCountFrequency (%)
D 28
59.6%
V 14
29.8%
E 1
 
2.1%
K 1
 
2.1%
A 1
 
2.1%
T 1
 
2.1%
x 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 412
80.5%
ASCII 100
 
19.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 54
 
13.1%
디 53
 
12.9%
오 50
 
12.1%
방 45
 
10.9%
영 10
 
2.4%
스 10
 
2.4%
네 7
 
1.7%
마 7
 
1.7%
상 6
 
1.5%
화 6
 
1.5%
Other values (105) 164
39.8%
ASCII
ValueCountFrequency (%)
46
46.0%
D 28
28.0%
V 14
 
14.0%
4 1
 
1.0%
5 1
 
1.0%
E 1
 
1.0%
K 1
 
1.0%
A 1
 
1.0%
T 1
 
1.0%
- 1
 
1.0%
Other values (5) 5
 
5.0%

최종수정일자
Date

Distinct53
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2003-04-18 11:55:44
Maximum2022-09-01 16:36:42
2024-04-06T18:52:55.502241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:52:55.738571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
I
64 
U
 
3

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 64
95.5%
U 3
 
4.5%

Length

2024-04-06T18:52:55.987693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:56.180587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 64
95.5%
u 3
 
4.5%

데이터갱신일자
Date

Distinct4
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2018-08-31 23:59:59
Maximum2021-12-09 00:03:00
2024-04-06T18:52:56.318702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:52:56.505816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)93.5%
Missing5
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean195975.74
Minimum191843.52
Maximum198313.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-04-06T18:52:56.693363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191843.52
5-th percentile194247.42
Q1195020.94
median195164.43
Q3196766.38
95-th percentile198282.79
Maximum198313.26
Range6469.7454
Interquartile range (IQR)1745.4442

Descriptive statistics

Standard deviation1524.493
Coefficient of variation (CV)0.0077789884
Kurtosis-0.47728371
Mean195975.74
Median Absolute Deviation (MAD)989.28648
Skewness0.12060826
Sum12150496
Variance2324078.8
MonotonicityNot monotonic
2024-04-06T18:52:57.295954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195131.613876116 2
 
3.0%
198282.786805929 2
 
3.0%
198225.576728972 2
 
3.0%
196391.554210718 2
 
3.0%
194327.149708859 1
 
1.5%
198282.134838293 1
 
1.5%
194524.424099884 1
 
1.5%
195018.222482012 1
 
1.5%
195067.845312058 1
 
1.5%
191843.518015126 1
 
1.5%
Other values (48) 48
71.6%
(Missing) 5
 
7.5%
ValueCountFrequency (%)
191843.518015126 1
1.5%
193218.36400997 1
1.5%
193983.245516757 1
1.5%
194243.225835089 1
1.5%
194327.149708859 1
1.5%
194397.846592065 1
1.5%
194465.7359912 1
1.5%
194471.38233956 1
1.5%
194499.54006812 1
1.5%
194524.424099884 1
1.5%
ValueCountFrequency (%)
198313.263455469 1
1.5%
198293.812256567 1
1.5%
198293.498296993 1
1.5%
198282.786805929 2
3.0%
198282.134838293 1
1.5%
198251.307436944 1
1.5%
198248.25171786 1
1.5%
198241.889764904 1
1.5%
198240.692006371 1
1.5%
198225.576728972 2
3.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)93.5%
Missing5
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean444576.6
Minimum441650.47
Maximum445668.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-04-06T18:52:57.569703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441650.47
5-th percentile442623.86
Q1443206.77
median445122.72
Q3445582.08
95-th percentile445653.79
Maximum445668.62
Range4018.1544
Interquartile range (IQR)2375.3131

Descriptive statistics

Standard deviation1262.235
Coefficient of variation (CV)0.0028391845
Kurtosis-0.93707717
Mean444576.6
Median Absolute Deviation (MAD)490.88538
Skewness-0.85679638
Sum27563749
Variance1593237.2
MonotonicityNot monotonic
2024-04-06T18:52:57.814350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445653.891589525 2
 
3.0%
442649.850361187 2
 
3.0%
442738.977458151 2
 
3.0%
445050.999323622 2
 
3.0%
445623.835477523 1
 
1.5%
442666.747459966 1
 
1.5%
444693.586536328 1
 
1.5%
445502.784731271 1
 
1.5%
445650.010537195 1
 
1.5%
443195.828157727 1
 
1.5%
Other values (48) 48
71.6%
(Missing) 5
 
7.5%
ValueCountFrequency (%)
441650.468638787 1
1.5%
442097.494275893 1
1.5%
442391.975462514 1
1.5%
442622.637150701 1
1.5%
442647.1302872 1
1.5%
442649.850361187 2
3.0%
442666.747459966 1
1.5%
442738.977458151 2
3.0%
442793.615509761 1
1.5%
442801.643316495 1
1.5%
ValueCountFrequency (%)
445668.622994655 1
1.5%
445662.149945282 1
1.5%
445653.891589525 2
3.0%
445651.858121299 1
1.5%
445650.010537195 1
1.5%
445638.589781714 1
1.5%
445630.023828103 1
1.5%
445626.110995512 1
1.5%
445623.835477523 1
1.5%
445615.996713762 1
1.5%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
비디오물감상실업
66 
<NA>
 
1

Length

Max length8
Median length8
Mean length7.9402985
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 66
98.5%
<NA> 1
 
1.5%

Length

2024-04-06T18:52:58.292348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:58.519486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 66
98.5%
na 1
 
1.5%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
유통관련업
56 
<NA>
11 

Length

Max length5
Median length5
Mean length4.8358209
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 56
83.6%
<NA> 11
 
16.4%

Length

2024-04-06T18:52:58.700389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:52:58.882328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 56
83.6%
na 11
 
16.4%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)72.7%
Missing56
Missing (%)83.6%
Infinite0
Infinite (%)0.0%
Mean9.1818182
Minimum0
Maximum48
Zeros3
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-04-06T18:52:59.024971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q37.5
95-th percentile33.5
Maximum48
Range48
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation13.941436
Coefficient of variation (CV)1.5183742
Kurtosis7.0102591
Mean9.1818182
Median Absolute Deviation (MAD)3
Skewness2.5584528
Sum101
Variance194.36364
MonotonicityNot monotonic
2024-04-06T18:52:59.227565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 3
 
4.5%
4 2
 
3.0%
5 1
 
1.5%
48 1
 
1.5%
19 1
 
1.5%
7 1
 
1.5%
8 1
 
1.5%
6 1
 
1.5%
(Missing) 56
83.6%
ValueCountFrequency (%)
0 3
4.5%
4 2
3.0%
5 1
 
1.5%
6 1
 
1.5%
7 1
 
1.5%
8 1
 
1.5%
19 1
 
1.5%
48 1
 
1.5%
ValueCountFrequency (%)
48 1
 
1.5%
19 1
 
1.5%
8 1
 
1.5%
7 1
 
1.5%
6 1
 
1.5%
5 1
 
1.5%
4 2
3.0%
0 3
4.5%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing63
Missing (%)94.0%
Memory size668.0 B
2024-04-06T18:52:59.467169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters20
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

Unique0 ?
Unique (%)0.0%

Sample

1st row유흥업소밀집지역
2nd row기타
3rd row기타
4th row유흥업소밀집지역
ValueCountFrequency (%)
유흥업소밀집지역 2
50.0%
기타 2
50.0%
2024-04-06T18:53:00.124639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 2
10.0%
흥 2
10.0%
업 2
10.0%
소 2
10.0%
밀 2
10.0%
집 2
10.0%
지 2
10.0%
역 2
10.0%
기 2
10.0%
타 2
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 2
10.0%
흥 2
10.0%
업 2
10.0%
소 2
10.0%
밀 2
10.0%
집 2
10.0%
지 2
10.0%
역 2
10.0%
기 2
10.0%
타 2
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 2
10.0%
흥 2
10.0%
업 2
10.0%
소 2
10.0%
밀 2
10.0%
집 2
10.0%
지 2
10.0%
역 2
10.0%
기 2
10.0%
타 2
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 2
10.0%
흥 2
10.0%
업 2
10.0%
소 2
10.0%
밀 2
10.0%
집 2
10.0%
지 2
10.0%
역 2
10.0%
기 2
10.0%
타 2
10.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)46.9%
Missing35
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean128.29656
Minimum0
Maximum2398.69
Zeros18
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-04-06T18:53:00.350976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3119.0925
95-th percentile199.8075
Maximum2398.69
Range2398.69
Interquartile range (IQR)119.0925

Descriptive statistics

Standard deviation420.31443
Coefficient of variation (CV)3.2761161
Kurtosis30.026677
Mean128.29656
Median Absolute Deviation (MAD)0
Skewness5.4057434
Sum4105.49
Variance176664.22
MonotonicityNot monotonic
2024-04-06T18:53:00.593289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 18
26.9%
193.44 1
 
1.5%
79.0 1
 
1.5%
2398.69 1
 
1.5%
138.5 1
 
1.5%
123.0 1
 
1.5%
122.07 1
 
1.5%
105.83 1
 
1.5%
57.67 1
 
1.5%
190.97 1
 
1.5%
Other values (5) 5
 
7.5%
(Missing) 35
52.2%
ValueCountFrequency (%)
0.0 18
26.9%
57.67 1
 
1.5%
79.0 1
 
1.5%
99.96 1
 
1.5%
103.2 1
 
1.5%
105.83 1
 
1.5%
118.1 1
 
1.5%
122.07 1
 
1.5%
123.0 1
 
1.5%
138.5 1
 
1.5%
ValueCountFrequency (%)
2398.69 1
1.5%
207.59 1
1.5%
193.44 1
1.5%
190.97 1
1.5%
167.47 1
1.5%
138.5 1
1.5%
123.0 1
1.5%
122.07 1
1.5%
118.1 1
1.5%
105.83 1
1.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)50.0%
Missing51
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean6.5625
Minimum0
Maximum41
Zeros3
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size735.0 B
2024-04-06T18:53:00.840411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.75
median3.5
Q35.5
95-th percentile24.5
Maximum41
Range41
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation10.210901
Coefficient of variation (CV)1.5559468
Kurtosis9.4633445
Mean6.5625
Median Absolute Deviation (MAD)1.5
Skewness2.9762277
Sum105
Variance104.2625
MonotonicityNot monotonic
2024-04-06T18:53:01.048082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 4
 
6.0%
0 3
 
4.5%
4 3
 
4.5%
7 2
 
3.0%
41 1
 
1.5%
2 1
 
1.5%
19 1
 
1.5%
5 1
 
1.5%
(Missing) 51
76.1%
ValueCountFrequency (%)
0 3
4.5%
2 1
 
1.5%
3 4
6.0%
4 3
4.5%
5 1
 
1.5%
7 2
3.0%
19 1
 
1.5%
41 1
 
1.5%
ValueCountFrequency (%)
41 1
 
1.5%
19 1
 
1.5%
7 2
3.0%
5 1
 
1.5%
4 3
4.5%
3 4
6.0%
2 1
 
1.5%
0 3
4.5%

지하층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
55 
1
6 
0
 
3
7
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.4626866
Min length1

Unique

Unique3 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
82.1%
1 6
 
9.0%
0 3
 
4.5%
7 1
 
1.5%
3 1
 
1.5%
2 1
 
1.5%

Length

2024-04-06T18:53:01.366726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:53:01.572254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
82.1%
1 6
 
9.0%
0 3
 
4.5%
7 1
 
1.5%
3 1
 
1.5%
2 1
 
1.5%

건물용도명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
<NA>
56 
근린생활시설
11 

Length

Max length6
Median length4
Mean length4.3283582
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 56
83.6%
근린생활시설 11
 
16.4%

Length

2024-04-06T18:53:01.777900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:53:02.002964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
83.6%
근린생활시설 11
 
16.4%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

비디오재생기명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
자동
40 
<NA>
27 

Length

Max length4
Median length2
Mean length2.8059701
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자동 40
59.7%
<NA> 27
40.3%

Length

2024-04-06T18:53:02.324961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:53:02.613834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자동 40
59.7%
na 27
40.3%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

제공게임물명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing66
Missing (%)98.5%
Memory size668.0 B
2024-04-06T18:53:02.862598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters5
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 (%)100.0%

Sample

1st row전체이용가
ValueCountFrequency (%)
전체이용가 1
100.0%
2024-04-06T18:53:03.404612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 1
20.0%
체 1
20.0%
이 1
20.0%
용 1
20.0%
가 1
20.0%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing67
Missing (%)100.0%
Memory size735.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing65
Missing (%)97.0%
Memory size668.0 B
2024-04-06T18:53:03.648258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters10
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row상업지역
2nd row일반상업지역
ValueCountFrequency (%)
상업지역 1
50.0%
일반상업지역 1
50.0%
2024-04-06T18:53:04.157109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
상 2
20.0%
업 2
20.0%
지 2
20.0%
역 2
20.0%
일 1
10.0%
반 1
10.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03190000CDFF124201199500000119950120<NA>3폐업3폐업20070816<NA><NA><NA><NA><NA>156860서울특별시 동작구 흑석동 106-11번지서울특별시 동작구 서달로15길 18 (흑석동)<NA>중앙비디오2007-08-16 10:00:18I2018-08-31 23:59:59.0<NA>196592.19112445164.592017비디오물감상실업유통관련업<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>
13190000CDFF124201199600000119960902<NA>3폐업3폐업20060419<NA><NA><NA><NA><NA>156801서울특별시 동작구 노량진동 119-144번지서울특별시 동작구 만양로 90-1 (노량진동)<NA>영상 비디오방2006-04-19 13:25:43I2018-08-31 23:59:59.0<NA>195023.920864445478.366779비디오물감상실업유통관련업<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>
23190000CDFF124201199600000219960903<NA>3폐업3폐업20070824<NA><NA><NA><NA><NA>156861서울특별시 동작구 흑석동 184-21번지서울특별시 동작구 흑석로 101-5 (흑석동)<NA>리조이스 비디오방2007-08-24 14:58:46I2018-08-31 23:59:59.0<NA>196454.640112445084.135828비디오물감상실업유통관련업<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>
33190000CDFF124201199600000319960909<NA>3폐업3폐업20070723<NA><NA><NA><NA><NA>156802서울특별시 동작구 노량진동 211-35번지서울특별시 동작구 만양로14다길 17 (노량진동)<NA>떼떼 비디오방2007-07-23 16:34:58I2018-08-31 23:59:59.0<NA>195118.038062445424.211796비디오물감상실업유통관련업<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>
43190000CDFF124201199600000419960909<NA>3폐업3폐업20000919<NA><NA><NA><NA><NA>156861서울특별시 동작구 흑석동 207-26번지서울특별시 동작구 흑석로6길 23 (흑석동)<NA>학사 비디오방2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>196086.80787444826.698965비디오물감상실업유통관련업<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>
53190000CDFF124201199600000519960911<NA>3폐업3폐업19981020<NA><NA><NA><NA><NA>156800서울특별시 동작구 노량진동 31-18번지서울특별시 동작구 노량진로8길 21 (노량진동)<NA>21세기 비디오방2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>194327.149709445623.835478비디오물감상실업유통관련업<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>
63190000CDFF124201199600000619960911<NA>3폐업3폐업20001030<NA><NA><NA><NA><NA>156801서울특별시 동작구 노량진동 125-14번지서울특별시 동작구 만양로14가길 18 (노량진동)<NA>허리우드 비디오방2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>195082.535489445575.953797비디오물감상실업유통관련업<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>
73190000CDFF124201199600000719960911<NA>3폐업3폐업20021129<NA><NA><NA><NA><NA>156030서울특별시 동작구 상도동 56-13번지<NA><NA>캠퍼스 비디오방2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA><NA><NA>비디오물감상실업유통관련업0<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>
83190000CDFF124201199600000819960913<NA>3폐업3폐업20020315<NA><NA><NA><NA><NA>156802서울특별시 동작구 노량진동 207-4번지서울특별시 동작구 만양로14길 30 (노량진동)<NA>명문 비디오방2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>195147.223018445535.119041비디오물감상실업유통관련업<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>
93190000CDFF124201199600000919960916<NA>3폐업3폐업20010304<NA><NA><NA>823-9722<NA>156800서울특별시 동작구 노량진동 40-38번지서울특별시 동작구 노량진로12길 12-4 (노량진동)<NA>레옹 비디오방2003-04-18 11:55:44I2018-08-31 23:59:59.0<NA>194465.735991445630.023828비디오물감상실업유통관련업<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
573190000CDFF124201200300000620031204<NA>3폐업3폐업20140514<NA><NA><NA>816-2228<NA>156861서울특별시 동작구 흑석동 190-4번지 지층서울특별시 동작구 흑석로9길 4 (흑석동,지층)<NA>선샤인DVD2014-05-14 16:56:03I2018-08-31 23:59:59.0<NA>196391.554211445050.999324비디오물감상실업유통관련업4<NA><NA>123.031근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583190000CDFF124201200300000720031231<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 신대방동 395-69번지 보라매아카데미타워 6층609호호서울특별시 동작구 보라매로5가길 16, 6층609호호 (신대방동,보라매아카데미타워)<NA>뮤즈DVD2019-05-13 09:18:04U2019-05-15 02:40:00.0<NA>193218.36401443239.581054비디오물감상실업<NA>48유흥업소밀집지역<NA>122.07417근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
593190000CDFF124201200500000120050901<NA>1영업/정상13영업중<NA><NA><NA><NA>816-4955<NA><NA>서울특별시 동작구 상도동 502-4번지서울특별시 동작구 사당로 18 (상도동)<NA>스타레온DVD시네마2012-05-02 17:05:04I2018-08-31 23:59:59.0<NA>196060.844546443669.316318비디오물감상실업유통관련업<NA><NA><NA>105.833<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603190000CDFF124201200500000220051121<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 139-22번지 (2층)서울특별시 동작구 동작대로27길 31 (사당동,(2층))<NA>벅스 DVD2015-07-31 09:40:26I2018-08-31 23:59:59.0<NA>198178.761819442801.643316비디오물감상실업<NA><NA><NA><NA>57.672<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613190000CDFF124201200500000320051123<NA>3폐업3폐업20190717<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 139-30번지 (4층)서울특별시 동작구 동작대로27길 5 (사당동,(4층))<NA>엔터 DVD2019-07-17 18:20:22U2019-07-19 02:40:00.0<NA>198293.498297442793.61551비디오물감상실업<NA><NA><NA><NA>190.974<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
623190000CDFF124201200600000120060804<NA>1영업/정상13영업중<NA><NA><NA><NA>826-6132<NA><NA>서울특별시 동작구 노량진동 117-20번지 외 2서울특별시 동작구 만양로14가길 26 (노량진동,외 2)<NA>팝스디브이디2012-04-03 16:53:38I2018-08-31 23:59:59.0<NA>195062.158455445615.996714비디오물감상실업<NA>4<NA><NA>118.141근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633190000CDFF124201200600000220060824<NA>1영업/정상13영업중<NA><NA><NA><NA>823-3372<NA>156813서울특별시 동작구 노량진동 330번지 삼익주상복합아파트 220,221호서울특별시 동작구 만양로 84, 220,221호 (노량진동,삼익주상복합아파트)<NA>DVD키네마2006-08-24 18:08:18I2018-08-31 23:59:59.0<NA>195079.265529445413.288375비디오물감상실업유통관련업19<NA><NA>167.47193근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
643190000CDFF124201200600000320061110<NA>1영업/정상13영업중<NA><NA><NA><NA>816-4958<NA><NA>서울특별시 동작구 흑석동 183-1번지 7층서울특별시 동작구 흑석로 110 (흑석동,7층)<NA>스타레온DVD2009-10-05 10:24:38I2018-08-31 23:59:59.0<NA>196520.443225445100.857919비디오물감상실업유통관련업7<NA><NA>99.9672근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
653190000CDFF124201200700000120070523<NA>3폐업3폐업20130417<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 139-21번지 4층서울특별시 동작구 동작대로27길 15 (사당동,4층)<NA>볼보DVD영화관2013-04-19 12:58:59I2018-08-31 23:59:59.0<NA>198251.307437442806.500063비디오물감상실업<NA>8<NA><NA>103.271<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
663190000CDFF124201200800000120080415<NA>3폐업3폐업20140501<NA><NA><NA>824-5022<NA><NA>서울특별시 동작구 노량진동 125-15번지 양지상(125-16호) 지층서울특별시 동작구 만양로14가길 16 (노량진동,양지상(125-16호) 지층)<NA>비트맥스DVD영화관2014-06-17 15:43:13I2018-08-31 23:59:59.0<NA>195085.093366445563.315244비디오물감상실업<NA>6<NA><NA>207.5951<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>자동<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>