Overview

Dataset statistics

Number of variables56
Number of observations111
Missing cells3148
Missing cells (%)50.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.1 KiB
Average record size in memory490.2 B

Variable types

Categorical16
Text6
DateTime4
Unsupported25
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-17305/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (77.6%)Imbalance
지상층수 is highly imbalanced (80.9%)Imbalance
지하층수 is highly imbalanced (77.6%)Imbalance
통로너비 is highly imbalanced (77.6%)Imbalance
조명시설조도 is highly imbalanced (77.6%)Imbalance
노래방실수 is highly imbalanced (77.6%)Imbalance
청소년실수 is highly imbalanced (77.6%)Imbalance
총게임기수 is highly imbalanced (77.6%)Imbalance
인허가취소일자 has 111 (100.0%) missing valuesMissing
폐업일자 has 90 (81.1%) missing valuesMissing
휴업시작일자 has 111 (100.0%) missing valuesMissing
휴업종료일자 has 111 (100.0%) missing valuesMissing
재개업일자 has 111 (100.0%) missing valuesMissing
전화번호 has 57 (51.4%) missing valuesMissing
소재지면적 has 111 (100.0%) missing valuesMissing
소재지우편번호 has 100 (90.1%) missing valuesMissing
도로명주소 has 2 (1.8%) missing valuesMissing
도로명우편번호 has 6 (5.4%) missing valuesMissing
업태구분명 has 111 (100.0%) missing valuesMissing
좌표정보(X) has 2 (1.8%) missing valuesMissing
좌표정보(Y) has 2 (1.8%) missing valuesMissing
주변환경명 has 111 (100.0%) missing valuesMissing
제작취급품목내용 has 47 (42.3%) missing valuesMissing
시설면적 has 67 (60.4%) missing valuesMissing
건물용도명 has 111 (100.0%) missing valuesMissing
비상계단여부 has 111 (100.0%) missing valuesMissing
비상구여부 has 111 (100.0%) missing valuesMissing
자동환기여부 has 111 (100.0%) missing valuesMissing
청소년실여부 has 111 (100.0%) missing valuesMissing
특수조명여부 has 111 (100.0%) missing valuesMissing
방음시설여부 has 111 (100.0%) missing valuesMissing
비디오재생기명 has 111 (100.0%) missing valuesMissing
조명시설유무 has 111 (100.0%) missing valuesMissing
음향시설여부 has 111 (100.0%) missing valuesMissing
편의시설여부 has 111 (100.0%) missing valuesMissing
소방시설여부 has 111 (100.0%) missing valuesMissing
기존게임업외업종명 has 111 (100.0%) missing valuesMissing
제공게임물명 has 111 (100.0%) missing valuesMissing
공연장형태구분명 has 111 (100.0%) missing valuesMissing
품목명 has 111 (100.0%) missing valuesMissing
최초등록시점 has 111 (100.0%) missing valuesMissing
지역구분명 has 111 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 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
비디오재생기명 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
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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 4 (3.6%) zerosZeros

Reproduction

Analysis started2024-05-11 06:23:34.610010
Analysis finished2024-05-11 06:23:35.545392
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1020.0 B
3130000
111 

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 111
100.0%

Length

2024-05-11T15:23:35.640259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:35.761302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 111
100.0%

관리번호
Text

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-05-11T15:23:35.968307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2220
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

Unique111 ?
Unique (%)100.0%

Sample

1st rowCDFF1241112000000001
2nd rowCDFF1241112001000001
3rd rowCDFF1241112002000001
4th rowCDFF1241112003000001
5th rowCDFF1241112004000001
ValueCountFrequency (%)
cdff1241112000000001 1
 
0.9%
cdff1241112021000003 1
 
0.9%
cdff1241112020000009 1
 
0.9%
cdff1241112020000007 1
 
0.9%
cdff1241112020000004 1
 
0.9%
cdff1241112020000003 1
 
0.9%
cdff1241112020000002 1
 
0.9%
cdff1241112020000001 1
 
0.9%
cdff1241112019000010 1
 
0.9%
cdff1241112019000009 1
 
0.9%
Other values (101) 101
91.0%
2024-05-11T15:23:36.440435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 693
31.2%
1 536
24.1%
2 299
13.5%
F 222
 
10.0%
4 134
 
6.0%
C 111
 
5.0%
D 111
 
5.0%
3 26
 
1.2%
6 23
 
1.0%
5 18
 
0.8%
Other values (3) 47
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1776
80.0%
Uppercase Letter 444
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 693
39.0%
1 536
30.2%
2 299
16.8%
4 134
 
7.5%
3 26
 
1.5%
6 23
 
1.3%
5 18
 
1.0%
9 17
 
1.0%
8 16
 
0.9%
7 14
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 222
50.0%
C 111
25.0%
D 111
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1776
80.0%
Latin 444
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 693
39.0%
1 536
30.2%
2 299
16.8%
4 134
 
7.5%
3 26
 
1.5%
6 23
 
1.3%
5 18
 
1.0%
9 17
 
1.0%
8 16
 
0.9%
7 14
 
0.8%
Latin
ValueCountFrequency (%)
F 222
50.0%
C 111
25.0%
D 111
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 693
31.2%
1 536
24.1%
2 299
13.5%
F 222
 
10.0%
4 134
 
6.0%
C 111
 
5.0%
D 111
 
5.0%
3 26
 
1.2%
6 23
 
1.0%
5 18
 
0.8%
Other values (3) 47
 
2.1%

인허가일자
Date

Distinct110
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2000-03-29 00:00:00
Maximum2024-03-19 00:00:00
2024-05-11T15:23:36.740991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:37.048740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
1
90 
3
14 
5
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 90
81.1%
3 14
 
12.6%
5 7
 
6.3%

Length

2024-05-11T15:23:37.265577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:37.454825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 90
81.1%
3 14
 
12.6%
5 7
 
6.3%

영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
영업/정상
90 
폐업
14 
제외/삭제/전출
 
7

Length

Max length8
Median length5
Mean length4.8108108
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 90
81.1%
폐업 14
 
12.6%
제외/삭제/전출 7
 
6.3%

Length

2024-05-11T15:23:37.670340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:37.864427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 90
81.1%
폐업 14
 
12.6%
제외/삭제/전출 7
 
6.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
13
90 
3
14 
15
 
7

Length

Max length2
Median length2
Mean length1.8738739
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 90
81.1%
3 14
 
12.6%
15 7
 
6.3%

Length

2024-05-11T15:23:38.059726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:38.268103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 90
81.1%
3 14
 
12.6%
15 7
 
6.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1020.0 B
영업중
90 
폐업
14 
전출
 
7

Length

Max length3
Median length3
Mean length2.8108108
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 90
81.1%
폐업 14
 
12.6%
전출 7
 
6.3%

Length

2024-05-11T15:23:38.469363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:38.663993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 90
81.1%
폐업 14
 
12.6%
전출 7
 
6.3%

폐업일자
Date

MISSING 

Distinct21
Distinct (%)100.0%
Missing90
Missing (%)81.1%
Memory size1020.0 B
Minimum2009-07-31 00:00:00
Maximum2023-10-26 00:00:00
2024-05-11T15:23:38.936485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:39.157164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct54
Distinct (%)100.0%
Missing57
Missing (%)51.4%
Memory size1020.0 B
2024-05-11T15:23:39.585903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.944444
Min length8

Characters and Unicode

Total characters591
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

Unique54 ?
Unique (%)100.0%

Sample

1st row2078-8072
2nd row313-3322
3rd row334-3808
4th row338-5656
5th row3446-9121
ValueCountFrequency (%)
02-2668-2628 1
 
1.9%
02-751-6698 1
 
1.9%
02-302-5523 1
 
1.9%
02-2146-0700 1
 
1.9%
02-6395-3926 1
 
1.9%
02-558-0680 1
 
1.9%
070-4794-5826 1
 
1.9%
02-2069-0513 1
 
1.9%
02-703-0058 1
 
1.9%
02-6401-6680 1
 
1.9%
Other values (44) 44
81.5%
2024-05-11T15:23:40.347213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 103
17.4%
- 96
16.2%
2 82
13.9%
3 53
9.0%
1 51
8.6%
7 44
7.4%
6 40
 
6.8%
8 40
 
6.8%
5 35
 
5.9%
4 26
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 495
83.8%
Dash Punctuation 96
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 103
20.8%
2 82
16.6%
3 53
10.7%
1 51
10.3%
7 44
8.9%
6 40
 
8.1%
8 40
 
8.1%
5 35
 
7.1%
4 26
 
5.3%
9 21
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 591
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 103
17.4%
- 96
16.2%
2 82
13.9%
3 53
9.0%
1 51
8.6%
7 44
7.4%
6 40
 
6.8%
8 40
 
6.8%
5 35
 
5.9%
4 26
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 103
17.4%
- 96
16.2%
2 82
13.9%
3 53
9.0%
1 51
8.6%
7 44
7.4%
6 40
 
6.8%
8 40
 
6.8%
5 35
 
5.9%
4 26
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)90.9%
Missing100
Missing (%)90.1%
Infinite0
Infinite (%)0.0%
Mean123011.64
Minimum121250
Maximum136055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:23:40.593994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121250
5-th percentile121260
Q1121756.5
median121819
Q3121853
95-th percentile128960.5
Maximum136055
Range14805
Interquartile range (IQR)96.5

Descriptive statistics

Standard deviation4331.9789
Coefficient of variation (CV)0.035216009
Kurtosis10.919603
Mean123011.64
Median Absolute Deviation (MAD)47
Skewness3.2996044
Sum1353128
Variance18766041
MonotonicityNot monotonic
2024-05-11T15:23:40.831230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
121866 2
 
1.8%
121819 1
 
0.9%
136055 1
 
0.9%
121837 1
 
0.9%
121270 1
 
0.9%
121708 1
 
0.9%
121805 1
 
0.9%
121250 1
 
0.9%
121812 1
 
0.9%
121840 1
 
0.9%
(Missing) 100
90.1%
ValueCountFrequency (%)
121250 1
0.9%
121270 1
0.9%
121708 1
0.9%
121805 1
0.9%
121812 1
0.9%
121819 1
0.9%
121837 1
0.9%
121840 1
0.9%
121866 2
1.8%
136055 1
0.9%
ValueCountFrequency (%)
136055 1
0.9%
121866 2
1.8%
121840 1
0.9%
121837 1
0.9%
121819 1
0.9%
121812 1
0.9%
121805 1
0.9%
121708 1
0.9%
121270 1
0.9%
121250 1
0.9%

지번주소
Text

Distinct90
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-05-11T15:23:41.417959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length26.225225
Min length18

Characters and Unicode

Total characters2911
Distinct characters163
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)67.6%

Sample

1st row서울특별시 마포구 동교동 ***-*번지 영준빌딩 본관 ***호
2nd row서울특별시 마포구 도화동 ***번지 데시앙한빛빌딩 *,*층
3rd row서울특별시 마포구 아현동 ***-*번지
4th row서울특별시 성북구 동선동*가 ***-*번지 대신빌딩 *층
5th row서울특별시 마포구 서교동 ***-*번지 증산빌딩 *층
ValueCountFrequency (%)
서울특별시 111
20.0%
마포구 110
19.8%
번지 56
10.1%
54
9.7%
상암동 41
 
7.4%
층 22
 
4.0%
서교동 21
 
3.8%
호 13
 
2.3%
성산동 7
 
1.3%
연남동 7
 
1.3%
Other values (82) 114
20.5%
2024-05-11T15:23:42.234181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 528
18.1%
502
17.2%
서 134
 
4.6%
동 116
 
4.0%
구 114
 
3.9%
시 113
 
3.9%
울 113
 
3.9%
마 112
 
3.8%
포 112
 
3.8%
특 111
 
3.8%
Other values (153) 956
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1747
60.0%
Other Punctuation 532
 
18.3%
Space Separator 502
 
17.2%
Dash Punctuation 69
 
2.4%
Uppercase Letter 50
 
1.7%
Decimal Number 4
 
0.1%
Lowercase Letter 3
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 134
 
7.7%
동 116
 
6.6%
구 114
 
6.5%
시 113
 
6.5%
울 113
 
6.5%
마 112
 
6.4%
포 112
 
6.4%
특 111
 
6.4%
별 111
 
6.4%
지 66
 
3.8%
Other values (131) 645
36.9%
Uppercase Letter
ValueCountFrequency (%)
C 16
32.0%
D 14
28.0%
M 13
26.0%
S 2
 
4.0%
B 2
 
4.0%
K 1
 
2.0%
J 1
 
2.0%
T 1
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
6 1
25.0%
8 1
25.0%
9 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 528
99.2%
, 3
 
0.6%
. 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
i 1
33.3%
y 1
33.3%
Space Separator
ValueCountFrequency (%)
502
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1747
60.0%
Common 1111
38.2%
Latin 53
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 134
 
7.7%
동 116
 
6.6%
구 114
 
6.5%
시 113
 
6.5%
울 113
 
6.5%
마 112
 
6.4%
포 112
 
6.4%
특 111
 
6.4%
별 111
 
6.4%
지 66
 
3.8%
Other values (131) 645
36.9%
Common
ValueCountFrequency (%)
* 528
47.5%
502
45.2%
- 69
 
6.2%
, 3
 
0.3%
) 2
 
0.2%
( 2
 
0.2%
. 1
 
0.1%
1 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
Latin
ValueCountFrequency (%)
C 16
30.2%
D 14
26.4%
M 13
24.5%
S 2
 
3.8%
B 2
 
3.8%
t 1
 
1.9%
i 1
 
1.9%
y 1
 
1.9%
K 1
 
1.9%
J 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1747
60.0%
ASCII 1164
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 528
45.4%
502
43.1%
- 69
 
5.9%
C 16
 
1.4%
D 14
 
1.2%
M 13
 
1.1%
, 3
 
0.3%
S 2
 
0.2%
B 2
 
0.2%
) 2
 
0.2%
Other values (12) 13
 
1.1%
Hangul
ValueCountFrequency (%)
서 134
 
7.7%
동 116
 
6.6%
구 114
 
6.5%
시 113
 
6.5%
울 113
 
6.5%
마 112
 
6.4%
포 112
 
6.4%
특 111
 
6.4%
별 111
 
6.4%
지 66
 
3.8%
Other values (131) 645
36.9%

도로명주소
Text

MISSING 

Distinct102
Distinct (%)93.6%
Missing2
Missing (%)1.8%
Memory size1020.0 B
2024-05-11T15:23:42.643043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length44
Mean length35.669725
Min length23

Characters and Unicode

Total characters3888
Distinct characters179
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)89.0%

Sample

1st row서울특별시 마포구 월드컵북로 **, ***호 (동교동,영준빌딩 본관)
2nd row서울특별시 마포구 독막로 *** (도화동,데시앙한빛빌딩 *,*층)
3rd row서울특별시 성북구 아리랑로 ** (동선동*가,대신빌딩 *층)
4th row서울특별시 마포구 와우산로 ** (서교동,증산빌딩 *층)
5th row서울특별시 마포구 연남로 ** (연남동,천호빌딩 *층)
ValueCountFrequency (%)
110
15.1%
서울특별시 109
15.0%
마포구 108
14.8%
층 49
 
6.7%
호 49
 
6.7%
상암동 38
 
5.2%
월드컵북로 24
 
3.3%
서교동 17
 
2.3%
월드컵북로**길 7
 
1.0%
성암로 6
 
0.8%
Other values (140) 211
29.0%
2024-05-11T15:23:43.411209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
639
 
16.4%
* 595
 
15.3%
, 133
 
3.4%
서 132
 
3.4%
동 128
 
3.3%
마 118
 
3.0%
포 116
 
3.0%
울 114
 
2.9%
구 113
 
2.9%
시 112
 
2.9%
Other values (169) 1688
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2230
57.4%
Other Punctuation 728
 
18.7%
Space Separator 639
 
16.4%
Open Punctuation 112
 
2.9%
Close Punctuation 112
 
2.9%
Uppercase Letter 52
 
1.3%
Dash Punctuation 10
 
0.3%
Decimal Number 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 132
 
5.9%
동 128
 
5.7%
마 118
 
5.3%
포 116
 
5.2%
울 114
 
5.1%
구 113
 
5.1%
시 112
 
5.0%
로 112
 
5.0%
별 109
 
4.9%
특 109
 
4.9%
Other values (151) 1067
47.8%
Uppercase Letter
ValueCountFrequency (%)
C 14
26.9%
D 14
26.9%
M 13
25.0%
B 4
 
7.7%
S 3
 
5.8%
R 1
 
1.9%
K 1
 
1.9%
J 1
 
1.9%
T 1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
* 595
81.7%
, 133
 
18.3%
Decimal Number
ValueCountFrequency (%)
3 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
639
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2230
57.4%
Common 1606
41.3%
Latin 52
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 132
 
5.9%
동 128
 
5.7%
마 118
 
5.3%
포 116
 
5.2%
울 114
 
5.1%
구 113
 
5.1%
시 112
 
5.0%
로 112
 
5.0%
별 109
 
4.9%
특 109
 
4.9%
Other values (151) 1067
47.8%
Common
ValueCountFrequency (%)
639
39.8%
* 595
37.0%
, 133
 
8.3%
( 112
 
7.0%
) 112
 
7.0%
- 10
 
0.6%
3 2
 
0.1%
1 2
 
0.1%
~ 1
 
0.1%
Latin
ValueCountFrequency (%)
C 14
26.9%
D 14
26.9%
M 13
25.0%
B 4
 
7.7%
S 3
 
5.8%
R 1
 
1.9%
K 1
 
1.9%
J 1
 
1.9%
T 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2230
57.4%
ASCII 1658
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
639
38.5%
* 595
35.9%
, 133
 
8.0%
( 112
 
6.8%
) 112
 
6.8%
C 14
 
0.8%
D 14
 
0.8%
M 13
 
0.8%
- 10
 
0.6%
B 4
 
0.2%
Other values (8) 12
 
0.7%
Hangul
ValueCountFrequency (%)
서 132
 
5.9%
동 128
 
5.7%
마 118
 
5.3%
포 116
 
5.2%
울 114
 
5.1%
구 113
 
5.1%
시 112
 
5.0%
로 112
 
5.0%
별 109
 
4.9%
특 109
 
4.9%
Other values (151) 1067
47.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)53.3%
Missing6
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean6226.1524
Minimum2829
Maximum121875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:23:43.851768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2829
5-th percentile3908
Q13925
median3991
Q34049
95-th percentile4167
Maximum121875
Range119046
Interquartile range (IQR)124

Descriptive statistics

Standard deviation16148.146
Coefficient of variation (CV)2.5935995
Kurtosis49.915528
Mean6226.1524
Median Absolute Deviation (MAD)66
Skewness7.1386527
Sum653746
Variance2.6076261 × 108
MonotonicityNot monotonic
2024-05-11T15:23:44.169676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3925 13
 
11.7%
3908 6
 
5.4%
3924 4
 
3.6%
3920 4
 
3.6%
3926 4
 
3.6%
3980 3
 
2.7%
3923 3
 
2.7%
4068 3
 
2.7%
3996 3
 
2.7%
3998 3
 
2.7%
Other values (46) 59
53.2%
(Missing) 6
 
5.4%
ValueCountFrequency (%)
2829 1
 
0.9%
3908 6
5.4%
3909 3
 
2.7%
3920 4
 
3.6%
3921 1
 
0.9%
3923 3
 
2.7%
3924 4
 
3.6%
3925 13
11.7%
3926 4
 
3.6%
3929 1
 
0.9%
ValueCountFrequency (%)
121875 1
0.9%
121231 1
0.9%
4211 1
0.9%
4195 1
0.9%
4168 1
0.9%
4167 2
1.8%
4165 1
0.9%
4162 1
0.9%
4158 1
0.9%
4157 1
0.9%

사업장명
Text

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-05-11T15:23:44.753244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length19
Mean length10.540541
Min length4

Characters and Unicode

Total characters1170
Distinct characters230
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)100.0%

Sample

1st row(주)마더텅
2nd row(주)한빛소프트
3rd row동양물산기업(주)
4th row네트워크리더쉽코리아(유)
5th row(주)아이코리아티브이
ValueCountFrequency (%)
주식회사 43
 
24.9%
media 3
 
1.7%
미디어 2
 
1.2%
사람들 1
 
0.6%
몽당연필 1
 
0.6%
채널옥트 1
 
0.6%
㈜루모스미디어 1
 
0.6%
엘지헬로비전 1
 
0.6%
주)크리시아미디어 1
 
0.6%
주)마더텅 1
 
0.6%
Other values (118) 118
68.2%
2024-05-11T15:23:45.594937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 89
 
7.6%
62
 
5.3%
이 59
 
5.0%
( 57
 
4.9%
) 57
 
4.9%
사 48
 
4.1%
회 44
 
3.8%
식 43
 
3.7%
스 40
 
3.4%
디 32
 
2.7%
Other values (220) 639
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 910
77.8%
Uppercase Letter 63
 
5.4%
Space Separator 62
 
5.3%
Open Punctuation 57
 
4.9%
Close Punctuation 57
 
4.9%
Lowercase Letter 12
 
1.0%
Other Punctuation 6
 
0.5%
Decimal Number 2
 
0.2%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 89
 
9.8%
이 59
 
6.5%
사 48
 
5.3%
회 44
 
4.8%
식 43
 
4.7%
스 40
 
4.4%
디 32
 
3.5%
미 24
 
2.6%
어 21
 
2.3%
트 17
 
1.9%
Other values (184) 493
54.2%
Uppercase Letter
ValueCountFrequency (%)
E 9
14.3%
M 6
 
9.5%
L 5
 
7.9%
D 5
 
7.9%
T 4
 
6.3%
A 4
 
6.3%
R 4
 
6.3%
C 4
 
6.3%
O 3
 
4.8%
B 3
 
4.8%
Other values (9) 16
25.4%
Lowercase Letter
ValueCountFrequency (%)
i 2
16.7%
d 2
16.7%
s 2
16.7%
a 1
8.3%
e 1
8.3%
m 1
8.3%
l 1
8.3%
t 1
8.3%
o 1
8.3%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
, 2
33.3%
Decimal Number
ValueCountFrequency (%)
7 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 911
77.9%
Common 184
 
15.7%
Latin 75
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 89
 
9.8%
이 59
 
6.5%
사 48
 
5.3%
회 44
 
4.8%
식 43
 
4.7%
스 40
 
4.4%
디 32
 
3.5%
미 24
 
2.6%
어 21
 
2.3%
트 17
 
1.9%
Other values (185) 494
54.2%
Latin
ValueCountFrequency (%)
E 9
 
12.0%
M 6
 
8.0%
L 5
 
6.7%
D 5
 
6.7%
T 4
 
5.3%
A 4
 
5.3%
R 4
 
5.3%
C 4
 
5.3%
O 3
 
4.0%
B 3
 
4.0%
Other values (18) 28
37.3%
Common
ValueCountFrequency (%)
62
33.7%
( 57
31.0%
) 57
31.0%
. 4
 
2.2%
, 2
 
1.1%
7 1
 
0.5%
2 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 910
77.8%
ASCII 259
 
22.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 89
 
9.8%
이 59
 
6.5%
사 48
 
5.3%
회 44
 
4.8%
식 43
 
4.7%
스 40
 
4.4%
디 32
 
3.5%
미 24
 
2.6%
어 21
 
2.3%
트 17
 
1.9%
Other values (184) 493
54.2%
ASCII
ValueCountFrequency (%)
62
23.9%
( 57
22.0%
) 57
22.0%
E 9
 
3.5%
M 6
 
2.3%
L 5
 
1.9%
D 5
 
1.9%
. 4
 
1.5%
T 4
 
1.5%
A 4
 
1.5%
Other values (25) 46
17.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2006-02-23 16:38:44
Maximum2024-04-30 09:44:08
2024-05-11T15:23:45.924438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:46.205362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
I
69 
U
42 

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 69
62.2%
U 42
37.8%

Length

2024-05-11T15:23:46.464017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:46.671176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 69
62.2%
u 42
37.8%

데이터갱신일자
Date

Distinct63
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
Minimum2018-10-11 15:46:28
Maximum2023-12-05 00:02:00
2024-05-11T15:23:46.884933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:23:47.195356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)78.0%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean192235.18
Minimum189779.17
Maximum201344.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:23:47.480401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189779.17
5-th percentile189980.9
Q1190293.98
median192277.4
Q3193166.74
95-th percentile195323.69
Maximum201344.94
Range11565.774
Interquartile range (IQR)2872.7613

Descriptive statistics

Standard deviation1979.4181
Coefficient of variation (CV)0.010296857
Kurtosis2.6680678
Mean192235.18
Median Absolute Deviation (MAD)1806.3126
Skewness1.0778395
Sum20953634
Variance3918096.2
MonotonicityNot monotonic
2024-05-11T15:23:47.749890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190250.875091908 7
 
6.3%
190335.496775957 5
 
4.5%
190125.564768858 4
 
3.6%
189855.433985731 4
 
3.6%
190293.979873354 2
 
1.8%
192237.384904789 2
 
1.8%
193162.941502573 2
 
1.8%
190070.994854984 2
 
1.8%
193166.741184321 2
 
1.8%
190459.967586857 2
 
1.8%
Other values (75) 77
69.4%
ValueCountFrequency (%)
189779.165991291 1
 
0.9%
189855.433985731 4
3.6%
189954.316212248 1
 
0.9%
190020.777440717 1
 
0.9%
190070.994854984 2
1.8%
190075.380363452 2
1.8%
190125.564768858 4
3.6%
190144.892942247 1
 
0.9%
190182.067334395 1
 
0.9%
190182.824561077 1
 
0.9%
ValueCountFrequency (%)
201344.940085256 1
0.9%
195855.131833666 1
0.9%
195766.588069694 1
0.9%
195764.944565229 1
0.9%
195616.580723896 1
0.9%
195324.793653981 1
0.9%
195322.033365468 1
0.9%
195292.972627854 1
0.9%
195228.918161534 1
0.9%
195189.043753394 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct85
Distinct (%)78.0%
Missing2
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean451195.92
Minimum448487.37
Maximum454811.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:23:48.417164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448487.37
5-th percentile448867.86
Q1449695.09
median450701.23
Q3453017.87
95-th percentile453354.52
Maximum454811.14
Range6323.7666
Interquartile range (IQR)3322.7772

Descriptive statistics

Standard deviation1646.5934
Coefficient of variation (CV)0.0036493978
Kurtosis-1.4065522
Mean451195.92
Median Absolute Deviation (MAD)1450.3576
Skewness0.12552185
Sum49180355
Variance2711269.8
MonotonicityNot monotonic
2024-05-11T15:23:48.671382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453017.867202928 7
 
6.3%
452758.642764785 5
 
4.5%
453090.149821248 4
 
3.6%
453614.583448105 4
 
3.6%
452694.976414446 2
 
1.8%
451267.291723204 2
 
1.8%
449587.977598681 2
 
1.8%
453176.817119902 2
 
1.8%
451378.371853012 2
 
1.8%
453050.376274362 2
 
1.8%
Other values (75) 77
69.4%
ValueCountFrequency (%)
448487.374314355 1
0.9%
448575.956518546 1
0.9%
448689.206203195 1
0.9%
448780.26877488 1
0.9%
448854.594112514 1
0.9%
448856.150306454 1
0.9%
448885.430093289 1
0.9%
448969.110547126 1
0.9%
448973.867131637 1
0.9%
449028.002731859 1
0.9%
ValueCountFrequency (%)
454811.140934884 1
 
0.9%
453614.583448105 4
3.6%
453360.240306636 1
 
0.9%
453345.947683972 2
1.8%
453302.04990022 1
 
0.9%
453263.335891345 1
 
0.9%
453176.817119902 2
1.8%
453150.178870554 1
 
0.9%
453141.676626027 1
 
0.9%
453112.077787463 1
 
0.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
비디오물배급업
67 
<NA>
44 

Length

Max length7
Median length7
Mean length5.8108108
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 67
60.4%
<NA> 44
39.6%

Length

2024-05-11T15:23:48.928069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:49.197568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 67
60.4%
na 44
39.6%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
98 
유통관련업
13 

Length

Max length5
Median length4
Mean length4.1171171
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 98
88.3%
유통관련업 13
 
11.7%

Length

2024-05-11T15:23:49.439245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:49.622325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 98
88.3%
유통관련업 13
 
11.7%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
107 
0
 
4

Length

Max length4
Median length4
Mean length3.8918919
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
96.4%
0 4
 
3.6%

Length

2024-05-11T15:23:49.820642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:50.005971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
96.4%
0 4
 
3.6%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

제작취급품목내용
Text

MISSING 

Distinct36
Distinct (%)56.2%
Missing47
Missing (%)42.3%
Memory size1020.0 B
2024-05-11T15:23:50.347526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length7.671875
Min length3

Characters and Unicode

Total characters491
Distinct characters101
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

Unique34 ?
Unique (%)53.1%

Sample

1st row비디오물
2nd row비디오물
3rd row비디오물
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 31
32.6%
배급 3
 
3.2%
비디오 3
 
3.2%
광고 3
 
3.2%
영상물 3
 
3.2%
영상 2
 
2.1%
제작 2
 
2.1%
dvd 2
 
2.1%
홍보영상 2
 
2.1%
공중파방송사/케이블tv/극장개봉용영화/iptv용 1
 
1.1%
Other values (43) 43
45.3%
2024-05-11T15:23:51.073076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
물 45
 
9.2%
디 44
 
9.0%
비 40
 
8.1%
오 40
 
8.1%
31
 
6.3%
, 24
 
4.9%
영 24
 
4.9%
상 23
 
4.7%
D 12
 
2.4%
V 9
 
1.8%
Other values (91) 199
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
79.2%
Uppercase Letter 33
 
6.7%
Space Separator 31
 
6.3%
Other Punctuation 28
 
5.7%
Open Punctuation 3
 
0.6%
Close Punctuation 3
 
0.6%
Lowercase Letter 3
 
0.6%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 45
 
11.6%
디 44
 
11.3%
비 40
 
10.3%
오 40
 
10.3%
영 24
 
6.2%
상 23
 
5.9%
홍 9
 
2.3%
보 9
 
2.3%
방 7
 
1.8%
송 7
 
1.8%
Other values (72) 141
36.2%
Uppercase Letter
ValueCountFrequency (%)
D 12
36.4%
V 9
27.3%
C 3
 
9.1%
T 2
 
6.1%
P 2
 
6.1%
I 1
 
3.0%
K 1
 
3.0%
E 1
 
3.0%
U 1
 
3.0%
R 1
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 24
85.7%
/ 3
 
10.7%
. 1
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
d 2
66.7%
v 1
33.3%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
79.2%
Common 66
 
13.4%
Latin 36
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 45
 
11.6%
디 44
 
11.3%
비 40
 
10.3%
오 40
 
10.3%
영 24
 
6.2%
상 23
 
5.9%
홍 9
 
2.3%
보 9
 
2.3%
방 7
 
1.8%
송 7
 
1.8%
Other values (72) 141
36.2%
Latin
ValueCountFrequency (%)
D 12
33.3%
V 9
25.0%
C 3
 
8.3%
T 2
 
5.6%
P 2
 
5.6%
d 2
 
5.6%
I 1
 
2.8%
K 1
 
2.8%
E 1
 
2.8%
v 1
 
2.8%
Other values (2) 2
 
5.6%
Common
ValueCountFrequency (%)
31
47.0%
, 24
36.4%
/ 3
 
4.5%
( 3
 
4.5%
) 3
 
4.5%
4 1
 
1.5%
. 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
79.2%
ASCII 102
 
20.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
물 45
 
11.6%
디 44
 
11.3%
비 40
 
10.3%
오 40
 
10.3%
영 24
 
6.2%
상 23
 
5.9%
홍 9
 
2.3%
보 9
 
2.3%
방 7
 
1.8%
송 7
 
1.8%
Other values (72) 141
36.2%
ASCII
ValueCountFrequency (%)
31
30.4%
, 24
23.5%
D 12
 
11.8%
V 9
 
8.8%
C 3
 
2.9%
/ 3
 
2.9%
( 3
 
2.9%
) 3
 
2.9%
T 2
 
2.0%
P 2
 
2.0%
Other values (9) 10
 
9.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)93.2%
Missing67
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean256.89045
Minimum0
Maximum3901
Zeros4
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T15:23:51.366187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126.01
median95.72
Q3159.655
95-th percentile692.174
Maximum3901
Range3901
Interquartile range (IQR)133.645

Descriptive statistics

Standard deviation669.62915
Coefficient of variation (CV)2.606672
Kurtosis22.824786
Mean256.89045
Median Absolute Deviation (MAD)67.76
Skewness4.6632036
Sum11303.18
Variance448403.19
MonotonicityNot monotonic
2024-05-11T15:23:51.676327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
0.0 4
 
3.6%
43.31 1
 
0.9%
380.16 1
 
0.9%
172.68 1
 
0.9%
26.1 1
 
0.9%
103.34 1
 
0.9%
22.23 1
 
0.9%
94.87 1
 
0.9%
50.0 1
 
0.9%
3901.0 1
 
0.9%
Other values (31) 31
27.9%
(Missing) 67
60.4%
ValueCountFrequency (%)
0.0 4
3.6%
1.0 1
 
0.9%
1.82 1
 
0.9%
13.75 1
 
0.9%
19.1 1
 
0.9%
22.23 1
 
0.9%
23.5 1
 
0.9%
25.74 1
 
0.9%
26.1 1
 
0.9%
35.7 1
 
0.9%
ValueCountFrequency (%)
3901.0 1
0.9%
2355.2 1
0.9%
731.54 1
0.9%
469.1 1
0.9%
380.16 1
0.9%
319.0 1
0.9%
252.76 1
0.9%
206.0 1
0.9%
177.3 1
0.9%
172.68 1
0.9%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
104 
0
 
4
4
 
1
1
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.8108108
Min length1

Unique

Unique3 ?
Unique (%)2.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
93.7%
0 4
 
3.6%
4 1
 
0.9%
1 1
 
0.9%
6 1
 
0.9%

Length

2024-05-11T15:23:52.012507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:52.201899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
93.7%
0 4
 
3.6%
4 1
 
0.9%
1 1
 
0.9%
6 1
 
0.9%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
107 
0
 
4

Length

Max length4
Median length4
Mean length3.8918919
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
96.4%
0 4
 
3.6%

Length

2024-05-11T15:23:52.414282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:52.599984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
96.4%
0 4
 
3.6%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
107 
0
 
4

Length

Max length4
Median length4
Mean length3.8918919
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
96.4%
0 4
 
3.6%

Length

2024-05-11T15:23:52.841156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:53.050879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
96.4%
0 4
 
3.6%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
107 
0
 
4

Length

Max length4
Median length4
Mean length3.8918919
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
96.4%
0 4
 
3.6%

Length

2024-05-11T15:23:53.261060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:53.470037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
96.4%
0 4
 
3.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
107 
0
 
4

Length

Max length4
Median length4
Mean length3.8918919
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
96.4%
0 4
 
3.6%

Length

2024-05-11T15:23:53.668902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:53.877751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
96.4%
0 4
 
3.6%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
107 
0
 
4

Length

Max length4
Median length4
Mean length3.8918919
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
96.4%
0 4
 
3.6%

Length

2024-05-11T15:23:54.106544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:54.408158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
96.4%
0 4
 
3.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1020.0 B
<NA>
107 
0
 
4

Length

Max length4
Median length4
Mean length3.8918919
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 107
96.4%
0 4
 
3.6%

Length

2024-05-11T15:23:54.613798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:23:54.797805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 107
96.4%
0 4
 
3.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing111
Missing (%)100.0%
Memory size1.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF124111200000000120001222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>121819서울특별시 마포구 동교동 ***-*번지 영준빌딩 본관 ***호서울특별시 마포구 월드컵북로 **, ***호 (동교동,영준빌딩 본관)3992(주)마더텅2006-09-06 14:35:46I2018-10-11 15:46:28.0<NA>192861.064576450513.247342비디오물배급업유통관련업<NA><NA>비디오물<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>
13130000CDFF124111200100000120010406<NA>3폐업3폐업20090731<NA><NA><NA>2078-8072<NA><NA>서울특별시 마포구 도화동 ***번지 데시앙한빛빌딩 *,*층서울특별시 마포구 독막로 *** (도화동,데시앙한빛빌딩 *,*층)<NA>(주)한빛소프트2009-07-31 10:25:47I2018-10-11 15:46:28.0<NA>195322.033365448969.110547비디오물배급업<NA><NA><NA>비디오물<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>
23130000CDFF124111200200000120020726<NA>1영업/정상13영업중<NA><NA><NA><NA>313-3322<NA><NA>서울특별시 마포구 아현동 ***-*번지<NA><NA>동양물산기업(주)2015-05-18 14:45:07I2018-10-11 15:46:28.0<NA><NA><NA>비디오물배급업<NA><NA><NA>비디오물<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>
33130000CDFF124111200300000120030320<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>136055서울특별시 성북구 동선동*가 ***-*번지 대신빌딩 *층서울특별시 성북구 아리랑로 ** (동선동*가,대신빌딩 *층)2829네트워크리더쉽코리아(유)2006-08-03 17:48:53I2018-10-11 15:46:28.0<NA>201344.940085454811.140935비디오물배급업유통관련업<NA><NA>비디오물<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>
43130000CDFF124111200400000120040107<NA>1영업/정상13영업중<NA><NA><NA><NA>334-3808<NA>121837서울특별시 마포구 서교동 ***-*번지 증산빌딩 *층서울특별시 마포구 와우산로 ** (서교동,증산빌딩 *층)4041(주)아이코리아티브이2006-02-23 16:38:44I2018-10-11 15:46:28.0<NA>193133.987619449916.42902비디오물배급업유통관련업<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>
53130000CDFF124111200400000220040810<NA>1영업/정상13영업중<NA><NA><NA><NA>338-5656<NA>121866서울특별시 마포구 연남동 ***-*번지 천호빌딩 *층서울특별시 마포구 연남로 ** (연남동,천호빌딩 *층)3975(주)아이윈미디어2006-06-20 10:09:04I2018-10-11 15:46:28.0<NA>192835.264213451389.060732비디오물배급업유통관련업<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>
63130000CDFF124111200400000320040818<NA>1영업/정상13영업중<NA><NA><NA><NA>3446-9121<NA>121270서울특별시 마포구 상암동 DMC내 C-*지구 디지털매직스페이스 *층<NA><NA>(주)디케이미디어2006-08-02 13:52:02I2018-10-11 15:46:28.0<NA><NA><NA>비디오물배급업유통관련업<NA><NA>비디오물<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>
73130000CDFF124111200500000120051123<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**번지 ***호서울특별시 마포구 어울마당로 ***, ***호 (서교동)4053(주)민트미디어2009-11-11 13:51:50I2018-10-11 15:46:28.0<NA>193344.390553450421.410163비디오물배급업유통관련업<NA><NA>비디오물<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>
83130000CDFF124111200600000120060421<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>121708서울특별시 마포구 마포동 **-*번지 삼정빌딩 ****호서울특별시 마포구 마포대로 **, ****호 (마포동,삼정빌딩)4167(주)디스퍼트엔터테인먼트2006-04-21 10:57:21I2018-10-11 15:46:28.0<NA>195051.533697448575.956519비디오물배급업유통관련업<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>
93130000CDFF124111200600000220060614<NA>1영업/정상13영업중<NA><NA><NA><NA>702-2195<NA>121805서울특별시 마포구 공덕동 ***번지 한국사회복지회관 르네상스타워 ****호서울특별시 마포구 만리재로 **, ****호 (공덕동,한국사회복지회관 르네상스타워)4195(주)아이콤소프트2006-06-14 09:39:22I2018-10-11 15:46:28.0<NA>195766.58807449083.306923비디오물배급업유통관련업<NA><NA>온라인,PC,콘솔게임물<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1013130000CDFF124111202200001620200612<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 ***-*서울특별시 마포구 양화로 **, 동성빌딩 ***호 (합정동)4046(주)스마트비전컴2022-09-05 21:27:28I2021-12-09 00:07:00.0<NA>192377.277695449695.089965<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><NA>
1023130000CDFF124111202200001720220920<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-* 아도디아빌딩서울특별시 마포구 월드컵북로 **, 아도디아빌딩 *층 (서교동)4001포니캐년코리아 주식회사2022-09-20 10:59:09I2021-12-08 22:02:00.0<NA>192854.773092450437.474685<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><NA>
1033130000CDFF12411120230000012023-01-25<NA>5제외/삭제/전출15전출2023-09-13<NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** DMC이안오피스텔서울특별시 마포구 월드컵북로 ***, DMC이안오피스텔 ****호 (상암동)3908에그이즈커밍2023-09-13 10:22:21U2022-12-08 23:05:00.0<NA>190335.496776452758.642765<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><NA>
1043130000CDFF12411120230000022021-02-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** 전자회관서울특별시 마포구 월드컵북로**길 **, 전자회관 *층 ***호 (상암동)3924주식회사 보더리스필름2023-02-03 10:20:02I2022-12-02 00:05:00.0<NA>190070.994855453176.81712<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><NA>
1053130000CDFF12411120230000032023-03-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-* 한울재서울특별시 마포구 동교로**길 **-**, 한울재 *층 (서교동)4035주식회사 디브이피2023-03-29 11:46:49I2022-12-04 00:01:00.0<NA>192314.429418450027.449688<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><NA>
1063130000CDFF12411120230000042020-07-30<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 ***-* 케이스퀘어서울특별시 마포구 양화로 ***, 케이스퀘어 *층 ***호 (동교동)3995비스킷타운 주식회사2023-06-29 10:50:59I2022-12-07 00:01:00.0<NA>193152.623835450523.47124<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><NA>
1073130000CDFF12411120230000052011-08-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** DMC첨단산업센터서울특별시 마포구 성암로 ***, DMC첨단산업센터 비동 ***호 (상암동)3920주식회사 티비미학2023-08-13 16:22:01U2022-12-07 23:07:00.0<NA>189855.433986453614.583448<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><NA>
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