Overview

Dataset statistics

Number of variables56
Number of observations43
Missing cells1357
Missing cells (%)56.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.5 KiB
Average record size in memory489.1 B

Variable types

Categorical12
Text8
DateTime4
Unsupported27
Numeric5

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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17280/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
비디오재생기명 has constant value ""Constant
문화체육업종명 is highly imbalanced (84.1%)Imbalance
인허가취소일자 has 43 (100.0%) missing valuesMissing
폐업일자 has 1 (2.3%) missing valuesMissing
휴업시작일자 has 43 (100.0%) missing valuesMissing
휴업종료일자 has 43 (100.0%) missing valuesMissing
재개업일자 has 43 (100.0%) missing valuesMissing
전화번호 has 9 (20.9%) missing valuesMissing
소재지면적 has 43 (100.0%) missing valuesMissing
소재지우편번호 has 26 (60.5%) missing valuesMissing
도로명주소 has 4 (9.3%) missing valuesMissing
도로명우편번호 has 30 (69.8%) missing valuesMissing
업태구분명 has 43 (100.0%) missing valuesMissing
좌표정보(X) has 3 (7.0%) missing valuesMissing
좌표정보(Y) has 3 (7.0%) missing valuesMissing
주변환경명 has 37 (86.0%) missing valuesMissing
제작취급품목내용 has 43 (100.0%) missing valuesMissing
시설면적 has 5 (11.6%) missing valuesMissing
통로너비 has 43 (100.0%) missing valuesMissing
조명시설조도 has 43 (100.0%) missing valuesMissing
노래방실수 has 43 (100.0%) missing valuesMissing
청소년실수 has 43 (100.0%) missing valuesMissing
비상계단여부 has 43 (100.0%) missing valuesMissing
비상구여부 has 43 (100.0%) missing valuesMissing
자동환기여부 has 43 (100.0%) missing valuesMissing
청소년실여부 has 43 (100.0%) missing valuesMissing
특수조명여부 has 43 (100.0%) missing valuesMissing
방음시설여부 has 43 (100.0%) missing valuesMissing
비디오재생기명 has 41 (95.3%) missing valuesMissing
조명시설유무 has 43 (100.0%) missing valuesMissing
음향시설여부 has 43 (100.0%) missing valuesMissing
편의시설여부 has 43 (100.0%) missing valuesMissing
소방시설여부 has 43 (100.0%) missing valuesMissing
총게임기수 has 43 (100.0%) missing valuesMissing
기존게임업외업종명 has 43 (100.0%) missing valuesMissing
제공게임물명 has 43 (100.0%) missing valuesMissing
공연장형태구분명 has 43 (100.0%) missing valuesMissing
품목명 has 43 (100.0%) missing valuesMissing
최초등록시점 has 43 (100.0%) missing valuesMissing
지역구분명 has 37 (86.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
시설면적 has 29 (67.4%) zerosZeros

Reproduction

Analysis started2024-05-11 02:32:25.618102
Analysis finished2024-05-11 02:32:27.022986
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
3130000
43 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 43
100.0%

Length

2024-05-11T02:32:27.237463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:27.589080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 43
100.0%

관리번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T02:32:28.046230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters860
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

Unique43 ?
Unique (%)100.0%

Sample

1st rowCDFF1242011996000001
2nd rowCDFF1242011996000002
3rd rowCDFF1242011996000003
4th rowCDFF1242011996000004
5th rowCDFF1242011996000005
ValueCountFrequency (%)
cdff1242011996000001 1
 
2.3%
cdff1242011998000002 1
 
2.3%
cdff1242011999000001 1
 
2.3%
cdff1242011999000002 1
 
2.3%
cdff1242011999000003 1
 
2.3%
cdff1242012000000001 1
 
2.3%
cdff1242012001000001 1
 
2.3%
cdff1242012001000002 1
 
2.3%
cdff1242012001000003 1
 
2.3%
cdff1242012001000004 1
 
2.3%
Other values (33) 33
76.7%
2024-05-11T02:32:29.220506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 281
32.7%
1 145
16.9%
2 112
 
13.0%
F 86
 
10.0%
9 61
 
7.1%
4 47
 
5.5%
C 43
 
5.0%
D 43
 
5.0%
6 21
 
2.4%
3 6
 
0.7%
Other values (3) 15
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
80.0%
Uppercase Letter 172
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 281
40.8%
1 145
21.1%
2 112
 
16.3%
9 61
 
8.9%
4 47
 
6.8%
6 21
 
3.1%
3 6
 
0.9%
8 6
 
0.9%
7 5
 
0.7%
5 4
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 86
50.0%
C 43
25.0%
D 43
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 688
80.0%
Latin 172
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 281
40.8%
1 145
21.1%
2 112
 
16.3%
9 61
 
8.9%
4 47
 
6.8%
6 21
 
3.1%
3 6
 
0.9%
8 6
 
0.9%
7 5
 
0.7%
5 4
 
0.6%
Latin
ValueCountFrequency (%)
F 86
50.0%
C 43
25.0%
D 43
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 281
32.7%
1 145
16.9%
2 112
 
13.0%
F 86
 
10.0%
9 61
 
7.1%
4 47
 
5.5%
C 43
 
5.0%
D 43
 
5.0%
6 21
 
2.4%
3 6
 
0.7%
Other values (3) 15
 
1.7%

인허가일자
Date

Distinct32
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum1996-09-13 00:00:00
Maximum2018-04-06 00:00:00
2024-05-11T02:32:29.593702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:32:30.044431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
3
34 
4
8 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 34
79.1%
4 8
 
18.6%
1 1
 
2.3%

Length

2024-05-11T02:32:30.488192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:30.932425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 34
79.1%
4 8
 
18.6%
1 1
 
2.3%

영업상태명
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
폐업
34 
취소/말소/만료/정지/중지
8 
영업/정상
 
1

Length

Max length14
Median length2
Mean length4.3023256
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 34
79.1%
취소/말소/만료/정지/중지 8
 
18.6%
영업/정상 1
 
2.3%

Length

2024-05-11T02:32:31.615766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:32.071455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 34
79.1%
취소/말소/만료/정지/중지 8
 
18.6%
영업/정상 1
 
2.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
3
34 
35
8 
13
 
1

Length

Max length2
Median length1
Mean length1.2093023
Min length1

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 34
79.1%
35 8
 
18.6%
13 1
 
2.3%

Length

2024-05-11T02:32:32.548192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:32.914509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 34
79.1%
35 8
 
18.6%
13 1
 
2.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
폐업
34 
직권말소
8 
영업중
 
1

Length

Max length4
Median length2
Mean length2.3953488
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 34
79.1%
직권말소 8
 
18.6%
영업중 1
 
2.3%

Length

2024-05-11T02:32:33.417489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:33.967358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 34
79.1%
직권말소 8
 
18.6%
영업중 1
 
2.3%

폐업일자
Date

MISSING 

Distinct36
Distinct (%)85.7%
Missing1
Missing (%)2.3%
Memory size476.0 B
Minimum1999-11-23 00:00:00
Maximum2023-08-03 00:00:00
2024-05-11T02:32:34.495756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:32:34.978485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

전화번호
Text

MISSING 

Distinct34
Distinct (%)100.0%
Missing9
Missing (%)20.9%
Memory size476.0 B
2024-05-11T02:32:35.590186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length8.2941176
Min length8

Characters and Unicode

Total characters282
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

Unique34 ?
Unique (%)100.0%

Sample

1st row704-1276
2nd row3272-2888
3rd row326-3146
4th row322-1855
5th row707-3463
ValueCountFrequency (%)
322-4720 1
 
2.9%
338-1182 1
 
2.9%
02-322-6741 1
 
2.9%
3141-6137 1
 
2.9%
701--7829 1
 
2.9%
3141-1316 1
 
2.9%
326-0748 1
 
2.9%
706-6177 1
 
2.9%
334-8413 1
 
2.9%
336-1358 1
 
2.9%
Other values (24) 24
70.6%
2024-05-11T02:32:36.565928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 56
19.9%
- 37
13.1%
2 36
12.8%
1 31
11.0%
7 23
8.2%
6 22
 
7.8%
4 19
 
6.7%
0 17
 
6.0%
5 16
 
5.7%
8 16
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 245
86.9%
Dash Punctuation 37
 
13.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 56
22.9%
2 36
14.7%
1 31
12.7%
7 23
9.4%
6 22
 
9.0%
4 19
 
7.8%
0 17
 
6.9%
5 16
 
6.5%
8 16
 
6.5%
9 9
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 56
19.9%
- 37
13.1%
2 36
12.8%
1 31
11.0%
7 23
8.2%
6 22
 
7.8%
4 19
 
6.7%
0 17
 
6.0%
5 16
 
5.7%
8 16
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 56
19.9%
- 37
13.1%
2 36
12.8%
1 31
11.0%
7 23
8.2%
6 22
 
7.8%
4 19
 
6.7%
0 17
 
6.0%
5 16
 
5.7%
8 16
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)70.6%
Missing26
Missing (%)60.5%
Infinite0
Infinite (%)0.0%
Mean121803.12
Minimum121200
Maximum121893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T02:32:37.163795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121200
5-th percentile121686.4
Q1121817
median121837
Q3121851
95-th percentile121882.6
Maximum121893
Range693
Interquartile range (IQR)34

Descriptive statistics

Standard deviation157.32128
Coefficient of variation (CV)0.0012916031
Kurtosis16.036186
Mean121803.12
Median Absolute Deviation (MAD)20
Skewness-3.953576
Sum2070653
Variance24749.985
MonotonicityNot monotonic
2024-05-11T02:32:37.583095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
121837 3
 
7.0%
121817 2
 
4.7%
121812 2
 
4.7%
121838 2
 
4.7%
121851 1
 
2.3%
121847 1
 
2.3%
121880 1
 
2.3%
121870 1
 
2.3%
121200 1
 
2.3%
121808 1
 
2.3%
Other values (2) 2
 
4.7%
(Missing) 26
60.5%
ValueCountFrequency (%)
121200 1
 
2.3%
121808 1
 
2.3%
121812 2
4.7%
121817 2
4.7%
121837 3
7.0%
121838 2
4.7%
121847 1
 
2.3%
121851 1
 
2.3%
121859 1
 
2.3%
121870 1
 
2.3%
ValueCountFrequency (%)
121893 1
 
2.3%
121880 1
 
2.3%
121870 1
 
2.3%
121859 1
 
2.3%
121851 1
 
2.3%
121847 1
 
2.3%
121838 2
4.7%
121837 3
7.0%
121817 2
4.7%
121812 2
4.7%

지번주소
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T02:32:38.174177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length25.604651
Min length19

Characters and Unicode

Total characters1101
Distinct characters58
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

Unique41 ?
Unique (%)95.3%

Sample

1st row서울특별시 마포구 노고산동 31-66번지 3층
2nd row서울특별시 마포구 신수동 81-59번지 2층
3rd row서울특별시 마포구 서교동 358-48번지 3층
4th row서울특별시 마포구 서교동 345-1번지 3층
5th row서울특별시 마포구 노고산동 107-61번지 3층
ValueCountFrequency (%)
서울특별시 43
20.2%
마포구 43
20.2%
서교동 18
 
8.5%
3층 15
 
7.0%
동교동 10
 
4.7%
2층 6
 
2.8%
지층 4
 
1.9%
노고산동 3
 
1.4%
도화동 3
 
1.4%
4층 3
 
1.4%
Other values (56) 65
30.5%
2024-05-11T02:32:39.519907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
19.3%
서 61
 
5.5%
동 53
 
4.8%
3 48
 
4.4%
지 46
 
4.2%
별 43
 
3.9%
특 43
 
3.9%
마 43
 
3.9%
포 43
 
3.9%
구 43
 
3.9%
Other values (48) 466
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 621
56.4%
Decimal Number 225
 
20.4%
Space Separator 212
 
19.3%
Dash Punctuation 40
 
3.6%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 61
 
9.8%
동 53
 
8.5%
지 46
 
7.4%
별 43
 
6.9%
특 43
 
6.9%
마 43
 
6.9%
포 43
 
6.9%
구 43
 
6.9%
울 43
 
6.9%
시 43
 
6.9%
Other values (33) 160
25.8%
Decimal Number
ValueCountFrequency (%)
3 48
21.3%
1 38
16.9%
6 31
13.8%
2 28
12.4%
4 24
10.7%
5 22
9.8%
8 13
 
5.8%
0 10
 
4.4%
7 8
 
3.6%
9 3
 
1.3%
Space Separator
ValueCountFrequency (%)
212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 621
56.4%
Common 480
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 61
 
9.8%
동 53
 
8.5%
지 46
 
7.4%
별 43
 
6.9%
특 43
 
6.9%
마 43
 
6.9%
포 43
 
6.9%
구 43
 
6.9%
울 43
 
6.9%
시 43
 
6.9%
Other values (33) 160
25.8%
Common
ValueCountFrequency (%)
212
44.2%
3 48
 
10.0%
- 40
 
8.3%
1 38
 
7.9%
6 31
 
6.5%
2 28
 
5.8%
4 24
 
5.0%
5 22
 
4.6%
8 13
 
2.7%
0 10
 
2.1%
Other values (5) 14
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 621
56.4%
ASCII 480
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
44.2%
3 48
 
10.0%
- 40
 
8.3%
1 38
 
7.9%
6 31
 
6.5%
2 28
 
5.8%
4 24
 
5.0%
5 22
 
4.6%
8 13
 
2.7%
0 10
 
2.1%
Other values (5) 14
 
2.9%
Hangul
ValueCountFrequency (%)
서 61
 
9.8%
동 53
 
8.5%
지 46
 
7.4%
별 43
 
6.9%
특 43
 
6.9%
마 43
 
6.9%
포 43
 
6.9%
구 43
 
6.9%
울 43
 
6.9%
시 43
 
6.9%
Other values (33) 160
25.8%

도로명주소
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing4
Missing (%)9.3%
Memory size476.0 B
2024-05-11T02:32:40.027049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length28.205128
Min length22

Characters and Unicode

Total characters1100
Distinct characters73
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

Unique39 ?
Unique (%)100.0%

Sample

1st row서울특별시 마포구 백범로1길 8-9, 3층 (노고산동)
2nd row서울특별시 마포구 서강로16길 69 (신수동,2층)
3rd row서울특별시 마포구 와우산로21길 36 (서교동,3층)
4th row서울특별시 마포구 어울마당로 120 (서교동,3층)
5th row서울특별시 마포구 백범로 24 (노고산동,3층)
ValueCountFrequency (%)
서울특별시 39
19.7%
마포구 39
19.7%
와우산로21길 10
 
5.1%
서교동,3층 7
 
3.5%
홍익로6길 7
 
3.5%
29 4
 
2.0%
서교동 3
 
1.5%
38 3
 
1.5%
21 3
 
1.5%
어울마당로 3
 
1.5%
Other values (68) 80
40.4%
2024-05-11T02:32:40.908257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
 
16.0%
서 58
 
5.3%
동 48
 
4.4%
마 42
 
3.8%
울 42
 
3.8%
2 40
 
3.6%
) 40
 
3.6%
( 40
 
3.6%
특 39
 
3.5%
별 39
 
3.5%
Other values (63) 536
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 641
58.3%
Space Separator 176
 
16.0%
Decimal Number 160
 
14.5%
Close Punctuation 40
 
3.6%
Open Punctuation 40
 
3.6%
Other Punctuation 35
 
3.2%
Dash Punctuation 8
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
 
9.0%
동 48
 
7.5%
마 42
 
6.6%
울 42
 
6.6%
특 39
 
6.1%
별 39
 
6.1%
시 39
 
6.1%
포 39
 
6.1%
구 39
 
6.1%
로 38
 
5.9%
Other values (48) 218
34.0%
Decimal Number
ValueCountFrequency (%)
2 40
25.0%
1 34
21.2%
3 30
18.8%
6 17
10.6%
4 9
 
5.6%
8 9
 
5.6%
0 8
 
5.0%
9 6
 
3.8%
7 4
 
2.5%
5 3
 
1.9%
Space Separator
ValueCountFrequency (%)
176
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 641
58.3%
Common 459
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
 
9.0%
동 48
 
7.5%
마 42
 
6.6%
울 42
 
6.6%
특 39
 
6.1%
별 39
 
6.1%
시 39
 
6.1%
포 39
 
6.1%
구 39
 
6.1%
로 38
 
5.9%
Other values (48) 218
34.0%
Common
ValueCountFrequency (%)
176
38.3%
2 40
 
8.7%
) 40
 
8.7%
( 40
 
8.7%
, 35
 
7.6%
1 34
 
7.4%
3 30
 
6.5%
6 17
 
3.7%
4 9
 
2.0%
8 9
 
2.0%
Other values (5) 29
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 641
58.3%
ASCII 459
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
38.3%
2 40
 
8.7%
) 40
 
8.7%
( 40
 
8.7%
, 35
 
7.6%
1 34
 
7.4%
3 30
 
6.5%
6 17
 
3.7%
4 9
 
2.0%
8 9
 
2.0%
Other values (5) 29
 
6.3%
Hangul
ValueCountFrequency (%)
서 58
 
9.0%
동 48
 
7.5%
마 42
 
6.6%
울 42
 
6.6%
특 39
 
6.1%
별 39
 
6.1%
시 39
 
6.1%
포 39
 
6.1%
구 39
 
6.1%
로 38
 
5.9%
Other values (48) 218
34.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)61.5%
Missing30
Missing (%)69.8%
Infinite0
Infinite (%)0.0%
Mean13108
Minimum4039
Maximum121806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T02:32:41.226495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4039
5-th percentile4039.6
Q14041
median4048
Q34050
95-th percentile51187.8
Maximum121806
Range117767
Interquartile range (IQR)9

Descriptive statistics

Standard deviation32659.69
Coefficient of variation (CV)2.4915845
Kurtosis12.99999
Mean13108
Median Absolute Deviation (MAD)7
Skewness3.6055493
Sum170404
Variance1.0666553 × 109
MonotonicityNot monotonic
2024-05-11T02:32:41.603958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4041 3
 
7.0%
4050 3
 
7.0%
4040 2
 
4.7%
121806 1
 
2.3%
4109 1
 
2.3%
4039 1
 
2.3%
4048 1
 
2.3%
4049 1
 
2.3%
(Missing) 30
69.8%
ValueCountFrequency (%)
4039 1
 
2.3%
4040 2
4.7%
4041 3
7.0%
4048 1
 
2.3%
4049 1
 
2.3%
4050 3
7.0%
4109 1
 
2.3%
121806 1
 
2.3%
ValueCountFrequency (%)
121806 1
 
2.3%
4109 1
 
2.3%
4050 3
7.0%
4049 1
 
2.3%
4048 1
 
2.3%
4041 3
7.0%
4040 2
4.7%
4039 1
 
2.3%

사업장명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-05-11T02:32:42.132930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.6046512
Min length1

Characters and Unicode

Total characters284
Distinct characters94
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row세상밖으로 비디오방
2nd rowE.F 월드비디오감상실
3rd row스카이디브이디방
4th row오승비디오방
5th row서강영상비디오방
ValueCountFrequency (%)
영화관 2
 
3.8%
dvd 2
 
3.8%
세상밖으로 1
 
1.9%
dvd비디오방 1
 
1.9%
미니영상비디오감상실 1
 
1.9%
멀티비디오방 1
 
1.9%
윈비디오감상실 1
 
1.9%
무지개 1
 
1.9%
비디오 1
 
1.9%
감상실 1
 
1.9%
Other values (41) 41
77.4%
2024-05-11T02:32:43.075460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
디 24
 
8.5%
D 20
 
7.0%
오 18
 
6.3%
비 16
 
5.6%
방 13
 
4.6%
상 11
 
3.9%
V 10
 
3.5%
10
 
3.5%
이 9
 
3.2%
스 9
 
3.2%
Other values (84) 144
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 228
80.3%
Uppercase Letter 43
 
15.1%
Space Separator 10
 
3.5%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 24
 
10.5%
오 18
 
7.9%
비 16
 
7.0%
방 13
 
5.7%
상 11
 
4.8%
이 9
 
3.9%
스 9
 
3.9%
감 8
 
3.5%
실 8
 
3.5%
아 5
 
2.2%
Other values (68) 107
46.9%
Uppercase Letter
ValueCountFrequency (%)
D 20
46.5%
V 10
23.3%
O 2
 
4.7%
E 2
 
4.7%
W 2
 
4.7%
K 1
 
2.3%
J 1
 
2.3%
Y 1
 
2.3%
C 1
 
2.3%
I 1
 
2.3%
Other values (2) 2
 
4.7%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 228
80.3%
Latin 43
 
15.1%
Common 13
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 24
 
10.5%
오 18
 
7.9%
비 16
 
7.0%
방 13
 
5.7%
상 11
 
4.8%
이 9
 
3.9%
스 9
 
3.9%
감 8
 
3.5%
실 8
 
3.5%
아 5
 
2.2%
Other values (68) 107
46.9%
Latin
ValueCountFrequency (%)
D 20
46.5%
V 10
23.3%
O 2
 
4.7%
E 2
 
4.7%
W 2
 
4.7%
K 1
 
2.3%
J 1
 
2.3%
Y 1
 
2.3%
C 1
 
2.3%
I 1
 
2.3%
Other values (2) 2
 
4.7%
Common
ValueCountFrequency (%)
10
76.9%
( 1
 
7.7%
) 1
 
7.7%
. 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 228
80.3%
ASCII 56
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
디 24
 
10.5%
오 18
 
7.9%
비 16
 
7.0%
방 13
 
5.7%
상 11
 
4.8%
이 9
 
3.9%
스 9
 
3.9%
감 8
 
3.5%
실 8
 
3.5%
아 5
 
2.2%
Other values (68) 107
46.9%
ASCII
ValueCountFrequency (%)
D 20
35.7%
V 10
17.9%
10
17.9%
O 2
 
3.6%
E 2
 
3.6%
W 2
 
3.6%
K 1
 
1.8%
J 1
 
1.8%
Y 1
 
1.8%
( 1
 
1.8%
Other values (6) 6
 
10.7%

최종수정일자
Date

Distinct32
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2003-04-18 14:56:25
Maximum2023-08-03 17:50:44
2024-05-11T02:32:43.475364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:32:44.026614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
I
33 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 33
76.7%
U 10
 
23.3%

Length

2024-05-11T02:32:44.457116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:44.850302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 33
76.7%
u 10
 
23.3%

데이터갱신일자
Date

Distinct6
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2018-10-11 15:46:28
Maximum2022-12-08 00:05:00
2024-05-11T02:32:45.226582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:32:45.707851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)87.5%
Missing3
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean193556.56
Minimum191838.17
Maximum195898.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T02:32:46.208728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191838.17
5-th percentile192980.83
Q1193090.5
median193146.27
Q3193907.86
95-th percentile195555.51
Maximum195898.73
Range4060.5681
Interquartile range (IQR)817.3624

Descriptive statistics

Standard deviation907.09571
Coefficient of variation (CV)0.0046864632
Kurtosis1.0777788
Mean193556.56
Median Absolute Deviation (MAD)76.241137
Skewness1.2993489
Sum7742262.5
Variance822822.62
MonotonicityNot monotonic
2024-05-11T02:32:46.809874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
193070.031498237 3
 
7.0%
193122.777695951 2
 
4.7%
193098.749972269 2
 
4.7%
193194.851782274 2
 
4.7%
194417.058299833 1
 
2.3%
195127.843532025 1
 
2.3%
195898.733804744 1
 
2.3%
193111.819258314 1
 
2.3%
193167.687990835 1
 
2.3%
193097.316956084 1
 
2.3%
Other values (25) 25
58.1%
(Missing) 3
 
7.0%
ValueCountFrequency (%)
191838.165700442 1
 
2.3%
192907.186146466 1
 
2.3%
192984.709426979 1
 
2.3%
193020.653366586 1
 
2.3%
193036.480252311 1
 
2.3%
193052.920262645 1
 
2.3%
193065.601057859 1
 
2.3%
193070.031498237 3
7.0%
193097.316956084 1
 
2.3%
193098.749972269 2
4.7%
ValueCountFrequency (%)
195898.733804744 1
2.3%
195809.979935872 1
2.3%
195542.119522775 1
2.3%
195223.804348288 1
2.3%
195127.843532025 1
2.3%
194434.960574665 1
2.3%
194426.871005472 1
2.3%
194417.058299833 1
2.3%
194377.598359678 1
2.3%
194366.547557895 1
2.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)87.5%
Missing3
Missing (%)7.0%
Infinite0
Infinite (%)0.0%
Mean450143.36
Minimum448652.18
Maximum451216.98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T02:32:47.319907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448652.18
5-th percentile449770.63
Q1449992.78
median450187.11
Q3450367.83
95-th percentile450522.05
Maximum451216.98
Range2564.804
Interquartile range (IQR)375.05647

Descriptive statistics

Standard deviation399.31178
Coefficient of variation (CV)0.00088707693
Kurtosis5.8514942
Mean450143.36
Median Absolute Deviation (MAD)187.70955
Skewness-1.2896652
Sum18005734
Variance159449.9
MonotonicityNot monotonic
2024-05-11T02:32:47.826587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
449992.775315167 3
 
7.0%
450367.831782916 2
 
4.7%
449999.40068353 2
 
4.7%
450402.317911101 2
 
4.7%
450183.308882835 1
 
2.3%
450301.719411767 1
 
2.3%
450514.30006354 1
 
2.3%
450237.849372072 1
 
2.3%
450376.949748821 1
 
2.3%
451216.980797664 1
 
2.3%
Other values (25) 25
58.1%
(Missing) 3
 
7.0%
ValueCountFrequency (%)
448652.176751796 1
 
2.3%
449077.864283969 1
 
2.3%
449807.09367357 1
 
2.3%
449822.240693024 1
 
2.3%
449908.226107115 1
 
2.3%
449945.938821078 1
 
2.3%
449964.831704 1
 
2.3%
449986.055913029 1
 
2.3%
449992.775315167 3
7.0%
449999.40068353 2
4.7%
ValueCountFrequency (%)
451216.980797664 1
2.3%
450669.215960467 1
2.3%
450514.30006354 1
2.3%
450465.09572616 1
2.3%
450402.317911101 2
4.7%
450394.174554737 1
2.3%
450376.949748821 1
2.3%
450370.13368124 1
2.3%
450367.831782916 2
4.7%
450360.624339264 1
2.3%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
비디오물감상실업
42 
<NA>
 
1

Length

Max length8
Median length8
Mean length7.9069767
Min length4

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물감상실업 42
97.7%
<NA> 1
 
2.3%

Length

2024-05-11T02:32:48.342634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:48.715243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물감상실업 42
97.7%
na 1
 
2.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
26 
유통관련업
17 

Length

Max length5
Median length4
Mean length4.3953488
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
60.5%
유통관련업 17
39.5%

Length

2024-05-11T02:32:49.121948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:49.501591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
60.5%
유통관련업 17
39.5%

총층수
Categorical

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
27 
0
12 
4
 
2
6
 
1
5
 
1

Length

Max length4
Median length4
Mean length2.8837209
Min length1

Unique

Unique2 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
62.8%
0 12
27.9%
4 2
 
4.7%
6 1
 
2.3%
5 1
 
2.3%

Length

2024-05-11T02:32:49.930848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:50.576364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
62.8%
0 12
27.9%
4 2
 
4.7%
6 1
 
2.3%
5 1
 
2.3%

주변환경명
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing37
Missing (%)86.0%
Memory size476.0 B
2024-05-11T02:32:51.141832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6.5
Mean length5.5
Min length2

Characters and Unicode

Total characters33
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)33.3%

Sample

1st row유흥업소밀집지역
2nd row기타
3rd row유흥업소밀집지역
4th row기타
5th row학교정화(상대)
ValueCountFrequency (%)
유흥업소밀집지역 2
33.3%
기타 2
33.3%
학교정화(상대 1
16.7%
아파트지역 1
16.7%
2024-05-11T02:32:52.265776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 3
 
9.1%
역 3
 
9.1%
유 2
 
6.1%
업 2
 
6.1%
소 2
 
6.1%
밀 2
 
6.1%
집 2
 
6.1%
기 2
 
6.1%
타 2
 
6.1%
흥 2
 
6.1%
Other values (11) 11
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31
93.9%
Close Punctuation 1
 
3.0%
Open Punctuation 1
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3
 
9.7%
역 3
 
9.7%
유 2
 
6.5%
업 2
 
6.5%
소 2
 
6.5%
밀 2
 
6.5%
집 2
 
6.5%
기 2
 
6.5%
타 2
 
6.5%
흥 2
 
6.5%
Other values (9) 9
29.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31
93.9%
Common 2
 
6.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3
 
9.7%
역 3
 
9.7%
유 2
 
6.5%
업 2
 
6.5%
소 2
 
6.5%
밀 2
 
6.5%
집 2
 
6.5%
기 2
 
6.5%
타 2
 
6.5%
흥 2
 
6.5%
Other values (9) 9
29.0%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31
93.9%
ASCII 2
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 3
 
9.7%
역 3
 
9.7%
유 2
 
6.5%
업 2
 
6.5%
소 2
 
6.5%
밀 2
 
6.5%
집 2
 
6.5%
기 2
 
6.5%
타 2
 
6.5%
흥 2
 
6.5%
Other values (9) 9
29.0%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct10
Distinct (%)26.3%
Missing5
Missing (%)11.6%
Infinite0
Infinite (%)0.0%
Mean33.605263
Minimum0
Maximum247.77
Zeros29
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-05-11T02:32:52.730688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile171.6165
Maximum247.77
Range247.77
Interquartile range (IQR)0

Descriptive statistics

Standard deviation69.157659
Coefficient of variation (CV)2.0579413
Kurtosis2.8283024
Mean33.605263
Median Absolute Deviation (MAD)0
Skewness1.9722749
Sum1277
Variance4782.7818
MonotonicityNot monotonic
2024-05-11T02:32:53.136728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 29
67.4%
96.0 1
 
2.3%
158.35 1
 
2.3%
151.0 1
 
2.3%
108.0 1
 
2.3%
247.77 1
 
2.3%
161.4 1
 
2.3%
102.47 1
 
2.3%
22.5 1
 
2.3%
229.51 1
 
2.3%
(Missing) 5
 
11.6%
ValueCountFrequency (%)
0.0 29
67.4%
22.5 1
 
2.3%
96.0 1
 
2.3%
102.47 1
 
2.3%
108.0 1
 
2.3%
151.0 1
 
2.3%
158.35 1
 
2.3%
161.4 1
 
2.3%
229.51 1
 
2.3%
247.77 1
 
2.3%
ValueCountFrequency (%)
247.77 1
 
2.3%
229.51 1
 
2.3%
161.4 1
 
2.3%
158.35 1
 
2.3%
151.0 1
 
2.3%
108.0 1
 
2.3%
102.47 1
 
2.3%
96.0 1
 
2.3%
22.5 1
 
2.3%
0.0 29
67.4%

지상층수
Categorical

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
27 
0
11 
4
3 
3
 
1
6
 
1

Length

Max length4
Median length4
Mean length2.8837209
Min length1

Unique

Unique2 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
62.8%
0 11
25.6%
4 3
 
7.0%
3 1
 
2.3%
6 1
 
2.3%

Length

2024-05-11T02:32:53.712389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:54.270841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
62.8%
0 11
25.6%
4 3
 
7.0%
3 1
 
2.3%
6 1
 
2.3%

지하층수
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
27 
0
12 
1
4 

Length

Max length4
Median length4
Mean length2.8837209
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
62.8%
0 12
27.9%
1 4
 
9.3%

Length

2024-05-11T02:32:54.757995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:55.148913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
62.8%
0 12
27.9%
1 4
 
9.3%

건물용도명
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
<NA>
33 
근린생활시설
9 
사무실
 
1

Length

Max length6
Median length4
Mean length4.3953488
Min length3

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
76.7%
근린생활시설 9
 
20.9%
사무실 1
 
2.3%

Length

2024-05-11T02:32:55.672582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T02:32:56.016345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
76.7%
근린생활시설 9
 
20.9%
사무실 1
 
2.3%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

비디오재생기명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing41
Missing (%)95.3%
Memory size476.0 B
2024-05-11T02:32:56.230726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
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 row자동
2nd row자동
ValueCountFrequency (%)
자동 2
100.0%
2024-05-11T02:32:56.852051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
자 2
50.0%
동 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 2
50.0%
동 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 2
50.0%
동 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
자 2
50.0%
동 2
50.0%

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)100.0%
Memory size519.0 B

지역구분명
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing37
Missing (%)86.0%
Memory size476.0 B
2024-05-11T02:32:57.373384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.1666667
Min length4

Characters and Unicode

Total characters31
Distinct characters11
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 (%)33.3%

Sample

1st row준주거지역
2nd row근린상업지역
3rd row상업지역
4th row근린상업지역
5th row상업지역
ValueCountFrequency (%)
근린상업지역 2
33.3%
상업지역 2
33.3%
준주거지역 1
16.7%
일반주거지역 1
16.7%
2024-05-11T02:32:58.250899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 6
19.4%
역 6
19.4%
상 4
12.9%
업 4
12.9%
근 2
 
6.5%
린 2
 
6.5%
주 2
 
6.5%
거 2
 
6.5%
준 1
 
3.2%
일 1
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 6
19.4%
역 6
19.4%
상 4
12.9%
업 4
12.9%
근 2
 
6.5%
린 2
 
6.5%
주 2
 
6.5%
거 2
 
6.5%
준 1
 
3.2%
일 1
 
3.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 6
19.4%
역 6
19.4%
상 4
12.9%
업 4
12.9%
근 2
 
6.5%
린 2
 
6.5%
주 2
 
6.5%
거 2
 
6.5%
준 1
 
3.2%
일 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 6
19.4%
역 6
19.4%
상 4
12.9%
업 4
12.9%
근 2
 
6.5%
린 2
 
6.5%
주 2
 
6.5%
거 2
 
6.5%
준 1
 
3.2%
일 1
 
3.2%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF124201199600000119960913<NA>3폐업3폐업20040831<NA><NA><NA>704-1276<NA><NA>서울특별시 마포구 노고산동 31-66번지 3층서울특별시 마포구 백범로1길 8-9, 3층 (노고산동)121806세상밖으로 비디오방2015-05-19 16:29:55I2018-10-11 15:46:28.0<NA>194434.960575450190.911594비디오물감상실업<NA><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>
13130000CDFF124201199600000219960913<NA>3폐업3폐업20050204<NA><NA><NA>3272-2888<NA><NA>서울특별시 마포구 신수동 81-59번지 2층서울특별시 마포구 서강로16길 69 (신수동,2층)<NA>E.F 월드비디오감상실2015-05-19 16:30:47I2018-10-11 15:46:28.0<NA>194377.59836449908.226107비디오물감상실업<NA><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>
23130000CDFF124201199600000319960913<NA>4취소/말소/만료/정지/중지35직권말소20191004<NA><NA><NA>326-3146<NA><NA>서울특별시 마포구 서교동 358-48번지 3층서울특별시 마포구 와우산로21길 36 (서교동,3층)4040스카이디브이디방2019-10-08 10:16:58U2019-10-10 02:40:00.0<NA>193036.480252450024.641399비디오물감상실업<NA>0<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>
33130000CDFF124201199600000419960913<NA>3폐업3폐업20020802<NA><NA><NA>322-1855<NA>121837서울특별시 마포구 서교동 345-1번지 3층서울특별시 마포구 어울마당로 120 (서교동,3층)<NA>오승비디오방2003-04-18 14:56:25I2018-10-11 15:46:28.0<NA>193173.542976450327.015497비디오물감상실업유통관련업0<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>
43130000CDFF124201199600000519960913<NA>4취소/말소/만료/정지/중지35직권말소20191004<NA><NA><NA>707-3463<NA><NA>서울특별시 마포구 노고산동 107-61번지 3층서울특별시 마포구 백범로 24 (노고산동,3층)4109서강영상비디오방2019-10-08 10:37:33U2019-10-10 02:40:00.0<NA>194366.547558450039.518635비디오물감상실업<NA><NA><NA><NA>96.0<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>
53130000CDFF124201199600000619960913<NA>3폐업3폐업20000311<NA><NA><NA>712-4688<NA>121851서울특별시 마포구 신공덕동 26-17번지 2층서울특별시 마포구 만리재로 20-7 (신공덕동,2층)<NA>중앙비디오방2003-04-18 14:56:25I2018-10-11 15:46:28.0<NA>195809.979936449077.864284비디오물감상실업유통관련업<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>
63130000CDFF124201199600000719960913<NA>3폐업3폐업20021008<NA><NA><NA>322-0338<NA>121837서울특별시 마포구 서교동 345-2번지 3층서울특별시 마포구 어울마당로 118 (서교동,3층)<NA>캐치원2003-04-18 14:56:25I2018-10-11 15:46:28.0<NA>193166.990517450312.26832비디오물감상실업유통관련업0<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>
73130000CDFF124201199600000819960913<NA>4취소/말소/만료/정지/중지35직권말소20150519<NA><NA><NA>322-6741<NA><NA>서울특별시 마포구 동교동 162-2번지 3층서울특별시 마포구 홍익로6길 23 (동교동,3층)<NA>윈2015-05-19 14:28:18I2018-10-11 15:46:28.0<NA>193122.777696450367.831783비디오물감상실업<NA>0<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>
83130000CDFF124201199600000919960913<NA>3폐업3폐업20110408<NA><NA><NA><NA><NA>121817서울특별시 마포구 동교동 162-14번지 3층서울특별시 마포구 홍익로6길 21 (동교동,3층)<NA>에이스2011-04-11 09:01:33I2018-10-11 15:46:28.0<NA>193115.093128450360.624339비디오물감상실업유통관련업<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>
93130000CDFF124201199600001019960918<NA>3폐업3폐업20000209<NA><NA><NA>335-1830<NA>121847서울특별시 마포구 성산동 252-22번지 2층서울특별시 마포구 월드컵로 108 (성산동,2층)<NA>성미2003-04-18 14:56:25I2018-10-11 15:46:28.0<NA>191838.1657450669.21596비디오물감상실업유통관련업<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
333130000CDFF124201200200000120020105<NA>3폐업3폐업20050830<NA><NA><NA>322-9106<NA><NA>서울특별시 마포구 서교동 364-31번지 3층서울특별시 마포구 와우산로21길 29 (서교동,3층)<NA>DVD비디오방2015-05-19 16:38:02I2018-10-11 15:46:28.0<NA>193070.031498449992.775315비디오물감상실업<NA><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>
343130000CDFF124201200200000220020329<NA>3폐업3폐업20031231<NA><NA><NA>334-8413<NA><NA>서울특별시 마포구 연남동 252-5번지 3층서울특별시 마포구 성미산로26길 13 (연남동,3층)<NA>파이오니아2015-12-10 14:25:49I2018-10-11 15:46:28.0<NA>193097.316956451216.980798비디오물감상실업<NA>0<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>
353130000CDFF124201200300000120030109<NA>3폐업3폐업20190730<NA><NA><NA><NA><NA>121838서울특별시 마포구 서교동 358-46번지 2층서울특별시 마포구 와우산로21길 34 (서교동,2층)4040팝스DVD홍대점2019-07-30 10:03:20U2019-08-01 02:40:00.0<NA>193052.920263450032.520125비디오물감상실업유통관련업0<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>
363130000CDFF124201200400000120041224<NA>1영업/정상13영업중<NA><NA><NA><NA>02-324-3533<NA><NA>서울특별시 마포구 서교동 369-4번지 호곡빌딩6층서울특별시 마포구 홍익로3길 44 (서교동,호곡빌딩6층)4039WOW DVD방2015-12-01 17:19:53I2018-10-11 15:46:28.0<NA>192984.709427450043.418102비디오물감상실업<NA>6유흥업소밀집지역<NA>247.77<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
373130000CDFF124201200500000120051107<NA>3폐업3폐업20100330<NA><NA><NA><NA><NA>121893서울특별시 마포구 서교동 364-31번지 3층서울특별시 마포구 와우산로21길 29 (서교동,3층)<NA>키네마 홍대점2010-03-30 13:40:32I2018-10-11 15:46:28.0<NA>193070.031498449992.775315비디오물감상실업유통관련업<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><NA><NA><NA><NA>
383130000CDFF124201200700000120070828<NA>3폐업3폐업20080129<NA><NA><NA><NA><NA><NA>서울특별시 마포구 신수동 63-8번지서울특별시 마포구 백범로 29 (신수동)<NA>멀티플러스감상실2015-05-19 16:20:02I2018-10-11 15:46:28.0<NA>194426.871005449986.055913비디오물감상실업<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><NA><NA><NA><NA><NA>
393130000CDFF124201200900000120090429<NA>3폐업3폐업20210608<NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 405-5 6층서울특별시 마포구 잔다리로 21-1, 6층 (서교동)4048K DVD2021-06-08 16:36:50U2021-06-10 02:40:00.0<NA>192907.186146449822.240693비디오물감상실업<NA><NA>기타<NA>161.461근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>근린상업지역
403130000CDFF124201200900000220090702<NA>3폐업3폐업20130626<NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 164-17번지서울특별시 마포구 홍익로6길 38 (동교동)<NA>시네피아디브이디 영화관2013-06-26 13:33:02I2018-10-11 15:46:28.0<NA>193194.851782450402.317911비디오물감상실업<NA>5학교정화(상대)<NA>102.4741근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>상업지역
413130000CDFF124201201000000120100308<NA>3폐업3폐업20110323<NA><NA><NA><NA><NA><NA>서울특별시 마포구 도화동 550번지 삼성아파트 지층1호 125호<NA><NA>씨즈디브이디2011-03-24 14:20:26I2018-10-11 15:46:28.0<NA>195542.119523448652.176752비디오물감상실업<NA><NA>아파트지역<NA>22.5<NA><NA>사무실<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
423130000CDFF124201201800000120180406<NA>3폐업3폐업20180628<NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 407-27번지서울특별시 마포구 잔다리로 5-1, 3층 (서교동)4049코코DVD영화관2018-06-29 11:44:50I2018-10-11 15:46:28.0<NA>193065.601058449807.093674비디오물감상실업<NA><NA><NA><NA>229.51<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>