Overview

Dataset statistics

Number of variables56
Number of observations109
Missing cells3009
Missing cells (%)49.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.9 KiB
Average record size in memory487.2 B

Variable types

Categorical17
Text8
DateTime4
Unsupported22
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
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17391/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
총층수 is highly imbalanced (82.5%)Imbalance
지상층수 is highly imbalanced (81.4%)Imbalance
지하층수 is highly imbalanced (80.2%)Imbalance
통로너비 is highly imbalanced (81.8%)Imbalance
조명시설조도 is highly imbalanced (81.8%)Imbalance
노래방실수 is highly imbalanced (81.8%)Imbalance
청소년실수 is highly imbalanced (81.8%)Imbalance
총게임기수 is highly imbalanced (81.8%)Imbalance
지역구분명 is highly imbalanced (81.8%)Imbalance
인허가취소일자 has 109 (100.0%) missing valuesMissing
폐업일자 has 89 (81.7%) missing valuesMissing
휴업시작일자 has 109 (100.0%) missing valuesMissing
휴업종료일자 has 109 (100.0%) missing valuesMissing
재개업일자 has 109 (100.0%) missing valuesMissing
전화번호 has 75 (68.8%) missing valuesMissing
소재지면적 has 109 (100.0%) missing valuesMissing
소재지우편번호 has 95 (87.2%) missing valuesMissing
도로명주소 has 2 (1.8%) missing valuesMissing
도로명우편번호 has 22 (20.2%) missing valuesMissing
업태구분명 has 109 (100.0%) missing valuesMissing
주변환경명 has 107 (98.2%) missing valuesMissing
제작취급품목내용 has 55 (50.5%) missing valuesMissing
시설면적 has 57 (52.3%) missing valuesMissing
건물용도명 has 107 (98.2%) missing valuesMissing
비상계단여부 has 109 (100.0%) missing valuesMissing
비상구여부 has 109 (100.0%) missing valuesMissing
자동환기여부 has 109 (100.0%) missing valuesMissing
청소년실여부 has 109 (100.0%) missing valuesMissing
특수조명여부 has 109 (100.0%) missing valuesMissing
방음시설여부 has 109 (100.0%) missing valuesMissing
비디오재생기명 has 109 (100.0%) missing valuesMissing
조명시설유무 has 109 (100.0%) missing valuesMissing
음향시설여부 has 109 (100.0%) missing valuesMissing
편의시설여부 has 109 (100.0%) missing valuesMissing
소방시설여부 has 109 (100.0%) missing valuesMissing
기존게임업외업종명 has 109 (100.0%) missing valuesMissing
제공게임물명 has 109 (100.0%) missing valuesMissing
공연장형태구분명 has 109 (100.0%) missing valuesMissing
품목명 has 109 (100.0%) missing valuesMissing
최초등록시점 has 109 (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
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

Reproduction

Analysis started2024-05-11 09:37:12.496411
Analysis finished2024-05-11 09:37:14.652038
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1004.0 B
3240000
109 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 109
100.0%

Length

2024-05-11T09:37:14.878732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:15.331585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 109
100.0%

관리번호
Text

UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2024-05-11T09:37:15.863516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2180
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

Unique109 ?
Unique (%)100.0%

Sample

1st rowCDFF1241071981000001
2nd rowCDFF1241071988000001
3rd rowCDFF1241071991000002
4th rowCDFF1241071994000001
5th rowCDFF1241072001000001
ValueCountFrequency (%)
cdff1241071981000001 1
 
0.9%
cdff1241072020000007 1
 
0.9%
cdff1241072022000006 1
 
0.9%
cdff1241072022000005 1
 
0.9%
cdff1241072022000004 1
 
0.9%
cdff1241072022000003 1
 
0.9%
cdff1241072022000002 1
 
0.9%
cdff1241072022000001 1
 
0.9%
cdff1241072021000015 1
 
0.9%
cdff1241072021000014 1
 
0.9%
Other values (99) 99
90.8%
2024-05-11T09:37:16.993495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 772
35.4%
1 321
14.7%
2 313
14.4%
F 218
 
10.0%
4 130
 
6.0%
7 116
 
5.3%
C 109
 
5.0%
D 109
 
5.0%
3 37
 
1.7%
9 17
 
0.8%
Other values (3) 38
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1744
80.0%
Uppercase Letter 436
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 772
44.3%
1 321
18.4%
2 313
17.9%
4 130
 
7.5%
7 116
 
6.7%
3 37
 
2.1%
9 17
 
1.0%
8 14
 
0.8%
6 13
 
0.7%
5 11
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 218
50.0%
C 109
25.0%
D 109
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1744
80.0%
Latin 436
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 772
44.3%
1 321
18.4%
2 313
17.9%
4 130
 
7.5%
7 116
 
6.7%
3 37
 
2.1%
9 17
 
1.0%
8 14
 
0.8%
6 13
 
0.7%
5 11
 
0.6%
Latin
ValueCountFrequency (%)
F 218
50.0%
C 109
25.0%
D 109
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 772
35.4%
1 321
14.7%
2 313
14.4%
F 218
 
10.0%
4 130
 
6.0%
7 116
 
5.3%
C 109
 
5.0%
D 109
 
5.0%
3 37
 
1.7%
9 17
 
0.8%
Other values (3) 38
 
1.7%

인허가일자
Date

Distinct107
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1004.0 B
Minimum1981-09-22 00:00:00
Maximum2024-03-25 00:00:00
2024-05-11T09:37:17.425154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:37:17.948194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
1
89 
3
15 
5
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 89
81.7%
3 15
 
13.8%
5 5
 
4.6%

Length

2024-05-11T09:37:18.407711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:18.747502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 89
81.7%
3 15
 
13.8%
5 5
 
4.6%

영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
영업/정상
89 
폐업
15 
제외/삭제/전출
 
5

Length

Max length8
Median length5
Mean length4.7247706
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 89
81.7%
폐업 15
 
13.8%
제외/삭제/전출 5
 
4.6%

Length

2024-05-11T09:37:19.128352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:19.506422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 89
81.7%
폐업 15
 
13.8%
제외/삭제/전출 5
 
4.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
13
89 
3
15 
15
 
5

Length

Max length2
Median length2
Mean length1.8623853
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 89
81.7%
3 15
 
13.8%
15 5
 
4.6%

Length

2024-05-11T09:37:19.818728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:20.058870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 89
81.7%
3 15
 
13.8%
15 5
 
4.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
영업중
89 
폐업
15 
전출
 
5

Length

Max length3
Median length3
Mean length2.8165138
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 89
81.7%
폐업 15
 
13.8%
전출 5
 
4.6%

Length

2024-05-11T09:37:20.375027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:20.671782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 89
81.7%
폐업 15
 
13.8%
전출 5
 
4.6%

폐업일자
Date

MISSING 

Distinct20
Distinct (%)100.0%
Missing89
Missing (%)81.7%
Memory size1004.0 B
Minimum2008-10-15 00:00:00
Maximum2024-04-24 00:00:00
2024-05-11T09:37:20.959294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:37:21.539912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct33
Distinct (%)97.1%
Missing75
Missing (%)68.8%
Memory size1004.0 B
2024-05-11T09:37:21.961830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.6176471
Min length8

Characters and Unicode

Total characters327
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

Unique32 ?
Unique (%)94.1%

Sample

1st row523-5780
2nd row593-5630
3rd row482-2532
4th row477-2240
5th row425-3003
ValueCountFrequency (%)
488-8515 2
 
5.9%
02-1522-3601 1
 
2.9%
545-4319 1
 
2.9%
02-426-4400 1
 
2.9%
02-428-9461 1
 
2.9%
02-429-4525 1
 
2.9%
02-488-5550 1
 
2.9%
02-473-0103 1
 
2.9%
02-424-6609 1
 
2.9%
523-5780 1
 
2.9%
Other values (23) 23
67.6%
2024-05-11T09:37:22.816582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 49
15.0%
- 48
14.7%
0 42
12.8%
4 41
12.5%
5 28
8.6%
8 25
7.6%
3 25
7.6%
1 23
7.0%
6 18
 
5.5%
7 15
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 279
85.3%
Dash Punctuation 48
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 49
17.6%
0 42
15.1%
4 41
14.7%
5 28
10.0%
8 25
9.0%
3 25
9.0%
1 23
8.2%
6 18
 
6.5%
7 15
 
5.4%
9 13
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 327
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 49
15.0%
- 48
14.7%
0 42
12.8%
4 41
12.5%
5 28
8.6%
8 25
7.6%
3 25
7.6%
1 23
7.0%
6 18
 
5.5%
7 15
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 49
15.0%
- 48
14.7%
0 42
12.8%
4 41
12.5%
5 28
8.6%
8 25
7.6%
3 25
7.6%
1 23
7.0%
6 18
 
5.5%
7 15
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)85.7%
Missing95
Missing (%)87.2%
Infinite0
Infinite (%)0.0%
Mean134855
Minimum134817
Maximum134890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T09:37:23.183866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134817
5-th percentile134818.3
Q1134835.25
median134860
Q3134870.5
95-th percentile134890
Maximum134890
Range73
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation24.648295
Coefficient of variation (CV)0.00018277628
Kurtosis-1.0025915
Mean134855
Median Absolute Deviation (MAD)11.5
Skewness-0.31905423
Sum1887970
Variance607.53846
MonotonicityNot monotonic
2024-05-11T09:37:23.592264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
134851 2
 
1.8%
134890 2
 
1.8%
134868 1
 
0.9%
134861 1
 
0.9%
134822 1
 
0.9%
134871 1
 
0.9%
134830 1
 
0.9%
134869 1
 
0.9%
134817 1
 
0.9%
134819 1
 
0.9%
Other values (2) 2
 
1.8%
(Missing) 95
87.2%
ValueCountFrequency (%)
134817 1
0.9%
134819 1
0.9%
134822 1
0.9%
134830 1
0.9%
134851 2
1.8%
134859 1
0.9%
134861 1
0.9%
134868 1
0.9%
134869 1
0.9%
134871 1
0.9%
ValueCountFrequency (%)
134890 2
1.8%
134872 1
0.9%
134871 1
0.9%
134869 1
0.9%
134868 1
0.9%
134861 1
0.9%
134859 1
0.9%
134851 2
1.8%
134830 1
0.9%
134822 1
0.9%

지번주소
Text

Distinct97
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2024-05-11T09:37:24.232798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length26.651376
Min length17

Characters and Unicode

Total characters2905
Distinct characters152
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)83.5%

Sample

1st row서울특별시 강동구 천호동 ***-**번지
2nd row서울특별시 강동구 천호동 **-**번지 해청빌딩
3rd row서울특별시 강동구 성내동 ***-*번지 미림빌딩
4th row서울특별시 강동구 둔촌동 ***-*번지
5th row서울특별시 강동구 천호동 ***-***번지
ValueCountFrequency (%)
서울특별시 109
19.4%
강동구 109
19.4%
63
11.2%
번지 46
8.2%
성내동 34
 
6.0%
호 32
 
5.7%
천호동 24
 
4.3%
길동 13
 
2.3%
암사동 12
 
2.1%
둔촌동 10
 
1.8%
Other values (84) 111
19.7%
2024-05-11T09:37:25.429741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 587
20.2%
504
17.3%
동 239
 
8.2%
강 124
 
4.3%
구 110
 
3.8%
서 110
 
3.8%
시 110
 
3.8%
별 109
 
3.8%
특 109
 
3.8%
울 109
 
3.8%
Other values (142) 794
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1699
58.5%
Other Punctuation 589
 
20.3%
Space Separator 504
 
17.3%
Dash Punctuation 91
 
3.1%
Uppercase Letter 9
 
0.3%
Decimal Number 8
 
0.3%
Lowercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 239
14.1%
강 124
 
7.3%
구 110
 
6.5%
서 110
 
6.5%
시 110
 
6.5%
별 109
 
6.4%
특 109
 
6.4%
울 109
 
6.4%
호 62
 
3.6%
지 56
 
3.3%
Other values (118) 561
33.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
22.2%
B 1
11.1%
H 1
11.1%
M 1
11.1%
Y 1
11.1%
S 1
11.1%
G 1
11.1%
U 1
11.1%
Decimal Number
ValueCountFrequency (%)
5 2
25.0%
2 2
25.0%
4 1
12.5%
0 1
12.5%
1 1
12.5%
3 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
g 1
20.0%
n 1
20.0%
u 1
20.0%
o 1
20.0%
e 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 587
99.7%
. 1
 
0.2%
, 1
 
0.2%
Space Separator
ValueCountFrequency (%)
504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 91
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1699
58.5%
Common 1192
41.0%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 239
14.1%
강 124
 
7.3%
구 110
 
6.5%
서 110
 
6.5%
시 110
 
6.5%
별 109
 
6.4%
특 109
 
6.4%
울 109
 
6.4%
호 62
 
3.6%
지 56
 
3.3%
Other values (118) 561
33.0%
Latin
ValueCountFrequency (%)
K 2
14.3%
B 1
 
7.1%
g 1
 
7.1%
H 1
 
7.1%
M 1
 
7.1%
n 1
 
7.1%
u 1
 
7.1%
o 1
 
7.1%
Y 1
 
7.1%
e 1
 
7.1%
Other values (3) 3
21.4%
Common
ValueCountFrequency (%)
* 587
49.2%
504
42.3%
- 91
 
7.6%
5 2
 
0.2%
2 2
 
0.2%
4 1
 
0.1%
0 1
 
0.1%
1 1
 
0.1%
3 1
 
0.1%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1699
58.5%
ASCII 1206
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 587
48.7%
504
41.8%
- 91
 
7.5%
K 2
 
0.2%
5 2
 
0.2%
2 2
 
0.2%
4 1
 
0.1%
0 1
 
0.1%
1 1
 
0.1%
3 1
 
0.1%
Other values (14) 14
 
1.2%
Hangul
ValueCountFrequency (%)
동 239
14.1%
강 124
 
7.3%
구 110
 
6.5%
서 110
 
6.5%
시 110
 
6.5%
별 109
 
6.4%
특 109
 
6.4%
울 109
 
6.4%
호 62
 
3.6%
지 56
 
3.3%
Other values (118) 561
33.0%

도로명주소
Text

MISSING 

Distinct106
Distinct (%)99.1%
Missing2
Missing (%)1.8%
Memory size1004.0 B
2024-05-11T09:37:26.201936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length36.018692
Min length22

Characters and Unicode

Total characters3854
Distinct characters168
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

Unique105 ?
Unique (%)98.1%

Sample

1st row서울특별시 강동구 구천면로 *** (천호동)
2nd row서울특별시 강동구 양재대로 **** (천호동,해청빌딩)
3rd row서울특별시 강동구 올림픽로 *** (성내동,미림빌딩)
4th row서울특별시 강동구 진황도로 ** (천호동)
5th row서울특별시 강동구 올림픽로 *** (천호동,민호빌딩 *층)
ValueCountFrequency (%)
108
14.9%
서울특별시 107
14.8%
강동구 107
14.8%
호 58
 
8.0%
층 38
 
5.2%
성내동 27
 
3.7%
천호동 20
 
2.8%
길동 12
 
1.7%
동 12
 
1.7%
암사동 11
 
1.5%
Other values (131) 224
30.9%
2024-05-11T09:37:27.705274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 689
17.9%
637
16.5%
동 251
 
6.5%
, 130
 
3.4%
강 127
 
3.3%
구 113
 
2.9%
서 108
 
2.8%
시 108
 
2.8%
울 107
 
2.8%
( 107
 
2.8%
Other values (158) 1477
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2134
55.4%
Other Punctuation 820
 
21.3%
Space Separator 637
 
16.5%
Open Punctuation 107
 
2.8%
Close Punctuation 107
 
2.8%
Dash Punctuation 23
 
0.6%
Uppercase Letter 11
 
0.3%
Decimal Number 10
 
0.3%
Lowercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 251
 
11.8%
강 127
 
6.0%
구 113
 
5.3%
서 108
 
5.1%
시 108
 
5.1%
울 107
 
5.0%
별 107
 
5.0%
특 107
 
5.0%
호 105
 
4.9%
로 102
 
4.8%
Other values (131) 899
42.1%
Uppercase Letter
ValueCountFrequency (%)
K 2
18.2%
B 2
18.2%
U 1
9.1%
M 1
9.1%
H 1
9.1%
G 1
9.1%
S 1
9.1%
Y 1
9.1%
A 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
5 2
20.0%
0 2
20.0%
1 1
 
10.0%
8 1
 
10.0%
6 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
g 1
20.0%
o 1
20.0%
u 1
20.0%
n 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 689
84.0%
, 130
 
15.9%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
637
100.0%
Open Punctuation
ValueCountFrequency (%)
( 107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 107
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2134
55.4%
Common 1704
44.2%
Latin 16
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 251
 
11.8%
강 127
 
6.0%
구 113
 
5.3%
서 108
 
5.1%
시 108
 
5.1%
울 107
 
5.0%
별 107
 
5.0%
특 107
 
5.0%
호 105
 
4.9%
로 102
 
4.8%
Other values (131) 899
42.1%
Latin
ValueCountFrequency (%)
K 2
12.5%
B 2
12.5%
e 1
 
6.2%
U 1
 
6.2%
M 1
 
6.2%
H 1
 
6.2%
g 1
 
6.2%
G 1
 
6.2%
S 1
 
6.2%
Y 1
 
6.2%
Other values (4) 4
25.0%
Common
ValueCountFrequency (%)
* 689
40.4%
637
37.4%
, 130
 
7.6%
( 107
 
6.3%
) 107
 
6.3%
- 23
 
1.3%
2 3
 
0.2%
5 2
 
0.1%
0 2
 
0.1%
1 1
 
0.1%
Other values (3) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2134
55.4%
ASCII 1720
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 689
40.1%
637
37.0%
, 130
 
7.6%
( 107
 
6.2%
) 107
 
6.2%
- 23
 
1.3%
2 3
 
0.2%
5 2
 
0.1%
0 2
 
0.1%
K 2
 
0.1%
Other values (17) 18
 
1.0%
Hangul
ValueCountFrequency (%)
동 251
 
11.8%
강 127
 
6.0%
구 113
 
5.3%
서 108
 
5.1%
시 108
 
5.1%
울 107
 
5.0%
별 107
 
5.0%
특 107
 
5.0%
호 105
 
4.9%
로 102
 
4.8%
Other values (131) 899
42.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)79.3%
Missing22
Missing (%)20.2%
Infinite0
Infinite (%)0.0%
Mean6814
Minimum5201
Maximum134851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T09:37:28.307910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5201
5-th percentile5238
Q15266
median5328
Q35379
95-th percentile5408
Maximum134851
Range129650
Interquartile range (IQR)113

Descriptive statistics

Standard deviation13886.758
Coefficient of variation (CV)2.0379745
Kurtosis86.996515
Mean6814
Median Absolute Deviation (MAD)53
Skewness9.327102
Sum592818
Variance1.9284205 × 108
MonotonicityNot monotonic
2024-05-11T09:37:28.918712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5398 3
 
2.8%
5354 3
 
2.8%
5385 2
 
1.8%
5203 2
 
1.8%
5306 2
 
1.8%
5355 2
 
1.8%
5245 2
 
1.8%
5257 2
 
1.8%
5318 2
 
1.8%
5303 2
 
1.8%
Other values (59) 65
59.6%
(Missing) 22
 
20.2%
ValueCountFrequency (%)
5201 1
0.9%
5203 2
1.8%
5221 1
0.9%
5238 2
1.8%
5240 2
1.8%
5241 1
0.9%
5242 1
0.9%
5245 2
1.8%
5246 1
0.9%
5248 2
1.8%
ValueCountFrequency (%)
134851 1
0.9%
5416 1
0.9%
5415 1
0.9%
5414 1
0.9%
5408 2
1.8%
5407 1
0.9%
5405 1
0.9%
5403 1
0.9%
5402 1
0.9%
5400 1
0.9%

사업장명
Text

UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2024-05-11T09:37:29.757564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.3119266
Min length2

Characters and Unicode

Total characters906
Distinct characters241
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)100.0%

Sample

1st row(주)인풍비젼
2nd row제일프로덕션
3rd row대하교역
4th row(주)한국포스다
5th row(주)휴먼인터텐츠
ValueCountFrequency (%)
주식회사 25
 
16.0%
스튜디오 4
 
2.6%
미디어 3
 
1.9%
주 2
 
1.3%
사람을 2
 
1.3%
리플레이 2
 
1.3%
담다 2
 
1.3%
공간온 1
 
0.6%
크레파스미디어 1
 
0.6%
라이브온 1
 
0.6%
Other values (113) 113
72.4%
2024-05-11T09:37:31.188499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 54
 
6.0%
47
 
5.2%
이 35
 
3.9%
사 33
 
3.6%
( 33
 
3.6%
) 33
 
3.6%
디 32
 
3.5%
스 31
 
3.4%
회 26
 
2.9%
식 25
 
2.8%
Other values (231) 557
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 745
82.2%
Space Separator 47
 
5.2%
Open Punctuation 33
 
3.6%
Close Punctuation 33
 
3.6%
Uppercase Letter 20
 
2.2%
Lowercase Letter 19
 
2.1%
Decimal Number 9
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 54
 
7.2%
이 35
 
4.7%
사 33
 
4.4%
디 32
 
4.3%
스 31
 
4.2%
회 26
 
3.5%
식 25
 
3.4%
인 18
 
2.4%
미 17
 
2.3%
어 15
 
2.0%
Other values (198) 459
61.6%
Uppercase Letter
ValueCountFrequency (%)
M 3
15.0%
C 2
10.0%
E 2
10.0%
D 2
10.0%
S 2
10.0%
V 2
10.0%
P 1
 
5.0%
B 1
 
5.0%
U 1
 
5.0%
O 1
 
5.0%
Other values (3) 3
15.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
10.5%
e 2
10.5%
i 2
10.5%
r 2
10.5%
o 2
10.5%
y 2
10.5%
t 1
 
5.3%
n 1
 
5.3%
p 1
 
5.3%
m 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
2 4
44.4%
0 2
22.2%
5 2
22.2%
8 1
 
11.1%
Space Separator
ValueCountFrequency (%)
47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 745
82.2%
Common 122
 
13.5%
Latin 39
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 54
 
7.2%
이 35
 
4.7%
사 33
 
4.4%
디 32
 
4.3%
스 31
 
4.2%
회 26
 
3.5%
식 25
 
3.4%
인 18
 
2.4%
미 17
 
2.3%
어 15
 
2.0%
Other values (198) 459
61.6%
Latin
ValueCountFrequency (%)
M 3
 
7.7%
a 2
 
5.1%
C 2
 
5.1%
e 2
 
5.1%
i 2
 
5.1%
r 2
 
5.1%
o 2
 
5.1%
E 2
 
5.1%
D 2
 
5.1%
y 2
 
5.1%
Other values (16) 18
46.2%
Common
ValueCountFrequency (%)
47
38.5%
( 33
27.0%
) 33
27.0%
2 4
 
3.3%
0 2
 
1.6%
5 2
 
1.6%
8 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 745
82.2%
ASCII 161
 
17.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 54
 
7.2%
이 35
 
4.7%
사 33
 
4.4%
디 32
 
4.3%
스 31
 
4.2%
회 26
 
3.5%
식 25
 
3.4%
인 18
 
2.4%
미 17
 
2.3%
어 15
 
2.0%
Other values (198) 459
61.6%
ASCII
ValueCountFrequency (%)
47
29.2%
( 33
20.5%
) 33
20.5%
2 4
 
2.5%
M 3
 
1.9%
a 2
 
1.2%
C 2
 
1.2%
0 2
 
1.2%
e 2
 
1.2%
i 2
 
1.2%
Other values (23) 31
19.3%

최종수정일자
Date

UNIQUE 

Distinct109
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1004.0 B
Minimum2006-04-18 11:46:48
Maximum2024-04-24 15:36:54
2024-05-11T09:37:31.707750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:37:32.378544image/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 size1004.0 B
I
83 
U
26 

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 83
76.1%
U 26
 
23.9%

Length

2024-05-11T09:37:32.914850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:33.255115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 83
76.1%
u 26
 
23.9%

데이터갱신일자
Date

Distinct73
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size1004.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 22:06:00
2024-05-11T09:37:33.771919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:37:34.338641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

Distinct103
Distinct (%)95.4%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean212004.94
Minimum210656.19
Maximum215966.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T09:37:34.818998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210656.19
5-th percentile210671.47
Q1211139.67
median211684.47
Q3212564.9
95-th percentile214954.74
Maximum215966.73
Range5310.537
Interquartile range (IQR)1425.2293

Descriptive statistics

Standard deviation1227.3435
Coefficient of variation (CV)0.0057892214
Kurtosis1.981659
Mean212004.94
Median Absolute Deviation (MAD)678.85166
Skewness1.4543124
Sum22896533
Variance1506372.1
MonotonicityNot monotonic
2024-05-11T09:37:35.337089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210661.467338527 3
 
2.8%
211047.878697259 2
 
1.8%
211218.32897109 2
 
1.8%
211680.853759912 2
 
1.8%
211604.998552758 1
 
0.9%
211638.175152301 1
 
0.9%
211105.217151701 1
 
0.9%
212589.810596332 1
 
0.9%
211165.03474961 1
 
0.9%
211980.248325806 1
 
0.9%
Other values (93) 93
85.3%
ValueCountFrequency (%)
210656.192068858 1
 
0.9%
210661.467338527 3
2.8%
210661.875484958 1
 
0.9%
210670.952245602 1
 
0.9%
210672.431145962 1
 
0.9%
210704.774772111 1
 
0.9%
210708.441569972 1
 
0.9%
210744.81545375 1
 
0.9%
210777.125630135 1
 
0.9%
210783.147773299 1
 
0.9%
ValueCountFrequency (%)
215966.729045494 1
0.9%
215898.113091143 1
0.9%
215407.863928053 1
0.9%
215278.711932608 1
0.9%
215144.766442481 1
0.9%
214958.621473538 1
0.9%
214947.532397575 1
0.9%
214921.411960605 1
0.9%
214202.035389784 1
0.9%
214075.140422558 1
0.9%

좌표정보(Y)
Real number (ℝ)

Distinct103
Distinct (%)95.4%
Missing1
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean448699.56
Minimum446598.59
Maximum452305.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T09:37:35.780201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446598.59
5-th percentile447077.44
Q1447679.02
median448561.32
Q3449562.35
95-th percentile450816.17
Maximum452305.72
Range5707.1319
Interquartile range (IQR)1883.3286

Descriptive statistics

Standard deviation1231.7248
Coefficient of variation (CV)0.0027450993
Kurtosis0.29858321
Mean448699.56
Median Absolute Deviation (MAD)904.27563
Skewness0.70240113
Sum48459552
Variance1517146.1
MonotonicityNot monotonic
2024-05-11T09:37:36.206186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447679.023606447 3
 
2.8%
450021.504957301 2
 
1.8%
448268.454326241 2
 
1.8%
447125.42728615 2
 
1.8%
447946.46830821 1
 
0.9%
447635.059814546 1
 
0.9%
447898.116390878 1
 
0.9%
449726.470848707 1
 
0.9%
449556.520197875 1
 
0.9%
448111.060277943 1
 
0.9%
Other values (93) 93
85.3%
ValueCountFrequency (%)
446598.591776331 1
0.9%
446784.488188771 1
0.9%
446824.910976521 1
0.9%
446956.450160363 1
0.9%
447007.285220271 1
0.9%
447051.598623403 1
0.9%
447125.42728615 2
1.8%
447164.517596783 1
0.9%
447259.892572716 1
0.9%
447268.322944558 1
0.9%
ValueCountFrequency (%)
452305.723682264 1
0.9%
452052.025388385 1
0.9%
452042.723062516 1
0.9%
451625.467060082 1
0.9%
451485.809606277 1
0.9%
451075.353171782 1
0.9%
450334.841840923 1
0.9%
450334.387435489 1
0.9%
450274.382514974 1
0.9%
450247.514214532 1
0.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
비디오물제작업
64 
<NA>
45 

Length

Max length7
Median length7
Mean length5.7614679
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 64
58.7%
<NA> 45
41.3%

Length

2024-05-11T09:37:36.705480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:37.081568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 64
58.7%
na 45
41.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
94 
유통관련업
15 

Length

Max length5
Median length4
Mean length4.1376147
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 94
86.2%
유통관련업 15
 
13.8%

Length

2024-05-11T09:37:37.494807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:37.834698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 94
86.2%
유통관련업 15
 
13.8%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
103 
0
 
3
8
 
1
6
 
1
17
 
1

Length

Max length4
Median length4
Mean length3.8440367
Min length1

Unique

Unique3 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 103
94.5%
0 3
 
2.8%
8 1
 
0.9%
6 1
 
0.9%
17 1
 
0.9%

Length

2024-05-11T09:37:38.277635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:38.782537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 103
94.5%
0 3
 
2.8%
8 1
 
0.9%
6 1
 
0.9%
17 1
 
0.9%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing107
Missing (%)98.2%
Memory size1004.0 B
2024-05-11T09:37:39.037451image/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 row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-05-11T09:37:40.069692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Text

MISSING 

Distinct43
Distinct (%)79.6%
Missing55
Missing (%)50.5%
Memory size1004.0 B
2024-05-11T09:37:40.602668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length22
Mean length11.111111
Min length4

Characters and Unicode

Total characters600
Distinct characters111
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

Unique39 ?
Unique (%)72.2%

Sample

1st row영상컨텐츠
2nd row비디오 영상물
3rd row비디오.DVD.VCD
4th row홍보.광고용 비디오물
5th row비디오물 영화 등
ValueCountFrequency (%)
비디오물 15
 
12.5%
홍보영상 9
 
7.5%
영상 9
 
7.5%
및 5
 
4.2%
영상물 5
 
4.2%
제작 4
 
3.3%
등 4
 
3.3%
방송프로그램 3
 
2.5%
영상제작 3
 
2.5%
영화 3
 
2.5%
Other values (54) 60
50.0%
2024-05-11T09:37:41.802444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
11.0%
영 52
 
8.7%
상 47
 
7.8%
, 36
 
6.0%
물 30
 
5.0%
디 26
 
4.3%
비 23
 
3.8%
오 23
 
3.8%
제 20
 
3.3%
작 18
 
3.0%
Other values (101) 259
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
74.3%
Space Separator 66
 
11.0%
Other Punctuation 43
 
7.2%
Uppercase Letter 23
 
3.8%
Lowercase Letter 18
 
3.0%
Open Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%
Dash Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 52
 
11.7%
상 47
 
10.5%
물 30
 
6.7%
디 26
 
5.8%
비 23
 
5.2%
오 23
 
5.2%
제 20
 
4.5%
작 18
 
4.0%
홍 18
 
4.0%
보 18
 
4.0%
Other values (73) 171
38.3%
Lowercase Letter
ValueCountFrequency (%)
l 4
22.2%
m 3
16.7%
c 2
11.1%
i 2
11.1%
u 1
 
5.6%
d 1
 
5.6%
o 1
 
5.6%
e 1
 
5.6%
r 1
 
5.6%
a 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
V 5
21.7%
R 4
17.4%
C 4
17.4%
F 3
13.0%
D 3
13.0%
G 1
 
4.3%
A 1
 
4.3%
M 1
 
4.3%
T 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 36
83.7%
? 4
 
9.3%
. 3
 
7.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
74.3%
Common 113
 
18.8%
Latin 41
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 52
 
11.7%
상 47
 
10.5%
물 30
 
6.7%
디 26
 
5.8%
비 23
 
5.2%
오 23
 
5.2%
제 20
 
4.5%
작 18
 
4.0%
홍 18
 
4.0%
보 18
 
4.0%
Other values (73) 171
38.3%
Latin
ValueCountFrequency (%)
V 5
12.2%
l 4
 
9.8%
R 4
 
9.8%
C 4
 
9.8%
m 3
 
7.3%
F 3
 
7.3%
D 3
 
7.3%
c 2
 
4.9%
i 2
 
4.9%
u 1
 
2.4%
Other values (10) 10
24.4%
Common
ValueCountFrequency (%)
66
58.4%
, 36
31.9%
? 4
 
3.5%
. 3
 
2.7%
( 1
 
0.9%
3 1
 
0.9%
- 1
 
0.9%
) 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
74.3%
ASCII 154
 
25.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
42.9%
, 36
23.4%
V 5
 
3.2%
l 4
 
2.6%
R 4
 
2.6%
? 4
 
2.6%
C 4
 
2.6%
m 3
 
1.9%
F 3
 
1.9%
D 3
 
1.9%
Other values (18) 22
 
14.3%
Hangul
ValueCountFrequency (%)
영 52
 
11.7%
상 47
 
10.5%
물 30
 
6.7%
디 26
 
5.8%
비 23
 
5.2%
오 23
 
5.2%
제 20
 
4.5%
작 18
 
4.0%
홍 18
 
4.0%
보 18
 
4.0%
Other values (73) 171
38.3%

시설면적
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)92.3%
Missing57
Missing (%)52.3%
Infinite0
Infinite (%)0.0%
Mean101.465
Minimum0
Maximum495.33
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T09:37:42.446137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.475
Q133.39
median63.125
Q3115.325
95-th percentile353.0985
Maximum495.33
Range495.33
Interquartile range (IQR)81.935

Descriptive statistics

Standard deviation108.40261
Coefficient of variation (CV)1.0683745
Kurtosis3.747464
Mean101.465
Median Absolute Deviation (MAD)37.085
Skewness1.9514507
Sum5276.18
Variance11751.127
MonotonicityNot monotonic
2024-05-11T09:37:43.069550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
40.0 3
 
2.8%
33.52 2
 
1.8%
1.0 2
 
1.8%
0.0 1
 
0.9%
214.53 1
 
0.9%
33.0 1
 
0.9%
5.5 1
 
0.9%
25.0 1
 
0.9%
84.06 1
 
0.9%
176.6 1
 
0.9%
Other values (38) 38
34.9%
(Missing) 57
52.3%
ValueCountFrequency (%)
0.0 1
0.9%
1.0 2
1.8%
5.5 1
0.9%
6.6 1
0.9%
15.0 1
0.9%
19.5 1
0.9%
20.0 1
0.9%
23.0 1
0.9%
25.0 1
0.9%
29.8 1
0.9%
ValueCountFrequency (%)
495.33 1
0.9%
391.5 1
0.9%
381.33 1
0.9%
330.0 1
0.9%
316.8 1
0.9%
214.53 1
0.9%
196.25 1
0.9%
176.6 1
0.9%
173.68 1
0.9%
165.0 1
0.9%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
102 
0
 
3
7
 
1
5
 
1
12
 
1

Length

Max length4
Median length4
Mean length3.8165138
Min length1

Unique

Unique4 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 102
93.6%
0 3
 
2.8%
7 1
 
0.9%
5 1
 
0.9%
12 1
 
0.9%
2 1
 
0.9%

Length

2024-05-11T09:37:43.613332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:44.036551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
93.6%
0 3
 
2.8%
7 1
 
0.9%
5 1
 
0.9%
12 1
 
0.9%
2 1
 
0.9%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
104 
0
 
3
1
 
2

Length

Max length4
Median length4
Mean length3.8623853
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> 104
95.4%
0 3
 
2.8%
1 2
 
1.8%

Length

2024-05-11T09:37:44.618944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:45.065013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
95.4%
0 3
 
2.8%
1 2
 
1.8%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing107
Missing (%)98.2%
Memory size1004.0 B
2024-05-11T09:37:45.395508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row근린생활시설
2nd row근린생활시설
ValueCountFrequency (%)
근린생활시설 2
100.0%
2024-05-11T09:37:46.226376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
106 
0
 
3

Length

Max length4
Median length4
Mean length3.9174312
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> 106
97.2%
0 3
 
2.8%

Length

2024-05-11T09:37:46.692990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:46.972519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
97.2%
0 3
 
2.8%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
106 
0
 
3

Length

Max length4
Median length4
Mean length3.9174312
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> 106
97.2%
0 3
 
2.8%

Length

2024-05-11T09:37:47.346224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:47.653685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
97.2%
0 3
 
2.8%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
106 
0
 
3

Length

Max length4
Median length4
Mean length3.9174312
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> 106
97.2%
0 3
 
2.8%

Length

2024-05-11T09:37:48.207378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:48.520617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
97.2%
0 3
 
2.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
106 
0
 
3

Length

Max length4
Median length4
Mean length3.9174312
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> 106
97.2%
0 3
 
2.8%

Length

2024-05-11T09:37:48.854374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:49.193388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
97.2%
0 3
 
2.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
106 
0
 
3

Length

Max length4
Median length4
Mean length3.9174312
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> 106
97.2%
0 3
 
2.8%

Length

2024-05-11T09:37:49.547422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:49.976037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
97.2%
0 3
 
2.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing109
Missing (%)100.0%
Memory size1.1 KiB

지역구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1004.0 B
<NA>
106 
일반주거지역
 
3

Length

Max length6
Median length4
Mean length4.0550459
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 106
97.2%
일반주거지역 3
 
2.8%

Length

2024-05-11T09:37:50.354476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:37:50.676370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 106
97.2%
일반주거지역 3
 
2.8%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03240000CDFF124107198100000119810922<NA>1영업/정상13영업중<NA><NA><NA><NA>523-5780<NA>134868서울특별시 강동구 천호동 ***-**번지서울특별시 강동구 구천면로 *** (천호동)<NA>(주)인풍비젼2006-05-09 13:30:19I2018-08-31 23:59:59.0<NA>210704.774772448909.290755비디오물제작업유통관련업<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>
13240000CDFF124107198800000119880524<NA>1영업/정상13영업중<NA><NA><NA><NA>593-5630<NA>134861서울특별시 강동구 천호동 **-**번지 해청빌딩서울특별시 강동구 양재대로 **** (천호동,해청빌딩)<NA>제일프로덕션2006-05-09 13:32:52I2018-08-31 23:59:59.0<NA>212437.98618448948.404195비디오물제작업유통관련업<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>
23240000CDFF124107199100000219910406<NA>1영업/정상13영업중<NA><NA><NA><NA>482-2532<NA>134851서울특별시 강동구 성내동 ***-*번지 미림빌딩서울특별시 강동구 올림픽로 *** (성내동,미림빌딩)<NA>대하교역2006-05-09 13:38:20I2018-08-31 23:59:59.0<NA>210661.875485447756.559361비디오물제작업유통관련업<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>
33240000CDFF124107199400000119940715<NA>1영업/정상13영업중<NA><NA><NA><NA>477-2240<NA>134822서울특별시 강동구 둔촌동 ***-*번지<NA><NA>(주)한국포스다2006-05-09 13:40:53I2018-08-31 23:59:59.0<NA><NA><NA>비디오물제작업유통관련업<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>
43240000CDFF124107200100000120010205<NA>1영업/정상13영업중<NA><NA><NA><NA>425-3003<NA>134871서울특별시 강동구 천호동 ***-***번지서울특별시 강동구 진황도로 ** (천호동)<NA>(주)휴먼인터텐츠2006-05-09 13:47:00I2018-08-31 23:59:59.0<NA>211279.030242448548.819717비디오물제작업유통관련업<NA><NA>영상컨텐츠<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>
53240000CDFF124107200100000220010516<NA>1영업/정상13영업중<NA><NA><NA><NA>428-3369<NA>134830서울특별시 강동구 명일동 ***-*번지 대종빌딩 ***호<NA><NA>(주)그린모아텍2006-05-09 13:53:30I2018-08-31 23:59:59.0<NA>212618.653948449389.320473비디오물제작업유통관련업<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>
63240000CDFF124107200100000320011204<NA>1영업/정상13영업중<NA><NA><NA><NA>470-1135<NA>134869서울특별시 강동구 천호동 ***번지 민호빌딩 *층서울특별시 강동구 올림픽로 *** (천호동,민호빌딩 *층)<NA>멀티화인테크(주)2006-05-09 13:59:01I2018-08-31 23:59:59.0<NA>211016.744215449029.359543비디오물제작업유통관련업<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>
73240000CDFF124107200100000420011224<NA>1영업/정상13영업중<NA><NA><NA><NA>485-5620<NA>134817서울특별시 강동구 둔촌동 **-*번지 ***호서울특별시 강동구 천호대로***길 ** (둔촌동,***호)<NA>인디영상2006-05-09 14:04:33I2018-08-31 23:59:59.0<NA>212501.173688447839.294324비디오물제작업유통관련업<NA><NA>비디오 영상물<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>
83240000CDFF124107200200000120020121<NA>3폐업3폐업20170504<NA><NA><NA>482-2719<NA>134819서울특별시 강동구 둔촌동 ***-*번지 주공아파트 ***-***서울특별시 강동구 양재대로 **** (둔촌동,주공아파트 ***-***)<NA>VBS한국비디오영상정보편집연구원2017-05-04 17:07:07I2018-08-31 23:59:59.0<NA>212027.481159446598.591776비디오물제작업유통관련업<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>
93240000CDFF124107200200000220020318<NA>3폐업3폐업20081015<NA><NA><NA>488-8515<NA>134890서울특별시 강동구 성내동 ***-**번지 화영빌딩지*층서울특별시 강동구 강동대로**길 ** (성내동,화영빌딩지*층)<NA>(주)플레이스테이션월드코리아2008-10-15 14:55:47I2018-08-31 23:59:59.0<NA>211680.85376447125.427286비디오물제작업유통관련업<NA><NA>비디오.DVD.VCD<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
993240000CDFF12410720230000122023-07-25<NA>3폐업3폐업2024-01-15<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 ***-** 강동투웨니퍼스트서울특별시 강동구 진황도로 **, 강동투웨니퍼스트 ****호 (길동)5354팔미리 스튜디오(8MM STUDIO)2024-01-15 14:43:11U2023-11-30 23:07:00.0<NA>211923.798191448280.0297<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>
1003240000CDFF12410720230000132023-08-22<NA>5제외/삭제/전출15전출2024-04-24<NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 **-* 천호역 효성해링턴타워서울특별시 강동구 올림픽로 ***, *층 *호 (성내동, 천호역 효성해링턴타워)5385유니픽셀2024-04-24 15:36:54U2023-12-03 22:06:00.0<NA>210818.50502448187.153176<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>
1013240000CDFF12410720230000142023-08-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 **-**서울특별시 강동구 구천면로**길 **, ***호 (천호동)5306이백2023-08-24 09:46:07I2022-12-07 22:06:00.0<NA>212563.431847449650.265063<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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