Overview

Dataset statistics

Number of variables56
Number of observations48
Missing cells1331
Missing cells (%)49.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.9 KiB
Average record size in memory488.8 B

Variable types

Categorical17
Text9
DateTime4
Unsupported22
Numeric4

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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-17375/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 has constant value ""Constant
소재지우편번호 is highly imbalanced (78.2%)Imbalance
문화사업자구분명 is highly imbalanced (66.3%)Imbalance
총층수 is highly imbalanced (81.6%)Imbalance
지상층수 is highly imbalanced (81.6%)Imbalance
지하층수 is highly imbalanced (81.6%)Imbalance
통로너비 is highly imbalanced (85.4%)Imbalance
조명시설조도 is highly imbalanced (85.4%)Imbalance
노래방실수 is highly imbalanced (85.4%)Imbalance
청소년실수 is highly imbalanced (85.4%)Imbalance
총게임기수 is highly imbalanced (85.4%)Imbalance
인허가취소일자 has 48 (100.0%) missing valuesMissing
폐업일자 has 36 (75.0%) missing valuesMissing
휴업시작일자 has 48 (100.0%) missing valuesMissing
휴업종료일자 has 48 (100.0%) missing valuesMissing
재개업일자 has 48 (100.0%) missing valuesMissing
전화번호 has 36 (75.0%) missing valuesMissing
소재지면적 has 48 (100.0%) missing valuesMissing
도로명주소 has 3 (6.2%) missing valuesMissing
도로명우편번호 has 8 (16.7%) missing valuesMissing
업태구분명 has 48 (100.0%) missing valuesMissing
주변환경명 has 46 (95.8%) missing valuesMissing
제작취급품목내용 has 27 (56.2%) missing valuesMissing
시설면적 has 27 (56.2%) missing valuesMissing
건물용도명 has 46 (95.8%) missing valuesMissing
비상계단여부 has 48 (100.0%) missing valuesMissing
비상구여부 has 48 (100.0%) missing valuesMissing
자동환기여부 has 48 (100.0%) missing valuesMissing
청소년실여부 has 48 (100.0%) missing valuesMissing
특수조명여부 has 48 (100.0%) missing valuesMissing
방음시설여부 has 48 (100.0%) missing valuesMissing
비디오재생기명 has 48 (100.0%) missing valuesMissing
조명시설유무 has 48 (100.0%) missing valuesMissing
음향시설여부 has 48 (100.0%) missing valuesMissing
편의시설여부 has 48 (100.0%) missing valuesMissing
소방시설여부 has 48 (100.0%) missing valuesMissing
기존게임업외업종명 has 48 (100.0%) missing valuesMissing
제공게임물명 has 48 (100.0%) missing valuesMissing
공연장형태구분명 has 48 (100.0%) missing valuesMissing
품목명 has 48 (100.0%) missing valuesMissing
최초등록시점 has 48 (100.0%) missing valuesMissing
지역구분명 has 46 (95.8%) missing valuesMissing
관리번호 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
시설면적 has 1 (2.1%) zerosZeros

Reproduction

Analysis started2024-05-11 06:54:11.915095
Analysis finished2024-05-11 06:54:12.957976
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
3080000
48 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 48
100.0%

Length

2024-05-11T15:54:13.056430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:13.203852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 48
100.0%

관리번호
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-11T15:54:13.477835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters960
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

Unique48 ?
Unique (%)100.0%

Sample

1st rowCDFF1241072000000001
2nd rowCDFF1241072006000001
3rd rowCDFF1241072006000002
4th rowCDFF1241072009000001
5th rowCDFF1241072010000001
ValueCountFrequency (%)
cdff1241072000000001 1
 
2.1%
cdff1241072006000001 1
 
2.1%
cdff1241072023000005 1
 
2.1%
cdff1241072021000003 1
 
2.1%
cdff1241072021000004 1
 
2.1%
cdff1241072022000001 1
 
2.1%
cdff1241072022000002 1
 
2.1%
cdff1241072022000003 1
 
2.1%
cdff1241072023000001 1
 
2.1%
cdff1241072023000002 1
 
2.1%
Other values (38) 38
79.2%
2024-05-11T15:54:13.982264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 342
35.6%
1 142
14.8%
2 140
14.6%
F 96
 
10.0%
4 56
 
5.8%
7 52
 
5.4%
C 48
 
5.0%
D 48
 
5.0%
3 22
 
2.3%
5 5
 
0.5%
Other values (3) 9
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 768
80.0%
Uppercase Letter 192
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 342
44.5%
1 142
18.5%
2 140
18.2%
4 56
 
7.3%
7 52
 
6.8%
3 22
 
2.9%
5 5
 
0.7%
6 4
 
0.5%
9 3
 
0.4%
8 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 96
50.0%
C 48
25.0%
D 48
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 768
80.0%
Latin 192
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 342
44.5%
1 142
18.5%
2 140
18.2%
4 56
 
7.3%
7 52
 
6.8%
3 22
 
2.9%
5 5
 
0.7%
6 4
 
0.5%
9 3
 
0.4%
8 2
 
0.3%
Latin
ValueCountFrequency (%)
F 96
50.0%
C 48
25.0%
D 48
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 960
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 342
35.6%
1 142
14.8%
2 140
14.6%
F 96
 
10.0%
4 56
 
5.8%
7 52
 
5.4%
C 48
 
5.0%
D 48
 
5.0%
3 22
 
2.3%
5 5
 
0.5%
Other values (3) 9
 
0.9%

인허가일자
Date

Distinct45
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2000-02-08 00:00:00
Maximum2024-04-15 00:00:00
2024-05-11T15:54:14.212342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:54:14.463108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
1
36 
3
8 
5
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 36
75.0%
3 8
 
16.7%
5 4
 
8.3%

Length

2024-05-11T15:54:14.707296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:14.885831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
75.0%
3 8
 
16.7%
5 4
 
8.3%

영업상태명
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
영업/정상
36 
폐업
8 
제외/삭제/전출
4 

Length

Max length8
Median length5
Mean length4.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 36
75.0%
폐업 8
 
16.7%
제외/삭제/전출 4
 
8.3%

Length

2024-05-11T15:54:15.081397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:15.283946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 36
75.0%
폐업 8
 
16.7%
제외/삭제/전출 4
 
8.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
13
36 
3
8 
15
4 

Length

Max length2
Median length2
Mean length1.8333333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 36
75.0%
3 8
 
16.7%
15 4
 
8.3%

Length

2024-05-11T15:54:15.459379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:15.611237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 36
75.0%
3 8
 
16.7%
15 4
 
8.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
영업중
36 
폐업
8 
전출
4 

Length

Max length3
Median length3
Mean length2.75
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 36
75.0%
폐업 8
 
16.7%
전출 4
 
8.3%

Length

2024-05-11T15:54:15.780382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:15.933243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 36
75.0%
폐업 8
 
16.7%
전출 4
 
8.3%

폐업일자
Date

MISSING 

Distinct12
Distinct (%)100.0%
Missing36
Missing (%)75.0%
Memory size516.0 B
Minimum2015-03-19 00:00:00
Maximum2024-03-15 00:00:00
2024-05-11T15:54:16.102096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:54:16.292387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

전화번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing36
Missing (%)75.0%
Memory size516.0 B
2024-05-11T15:54:16.574503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13.5
Mean length11.166667
Min length8

Characters and Unicode

Total characters134
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st row945-5989
2nd row583-4379
3rd row02-556-6302
4th row070-7019-0370
5th row02-988-9303
ValueCountFrequency (%)
945-5989 1
8.3%
583-4379 1
8.3%
02-556-6302 1
8.3%
070-7019-0370 1
8.3%
02-988-9303 1
8.3%
02-980-9869 1
8.3%
02-1666-0464 1
8.3%
07048876015 1
8.3%
02-6402-8967,8 1
8.3%
02-447-7117 1
8.3%
Other values (2) 2
16.7%
2024-05-11T15:54:17.098799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23
17.2%
- 18
13.4%
7 16
11.9%
9 12
9.0%
4 12
9.0%
2 11
8.2%
8 10
7.5%
6 10
7.5%
5 7
 
5.2%
3 7
 
5.2%
Other values (2) 8
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
85.8%
Dash Punctuation 18
 
13.4%
Other Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
20.0%
7 16
13.9%
9 12
10.4%
4 12
10.4%
2 11
9.6%
8 10
8.7%
6 10
8.7%
5 7
 
6.1%
3 7
 
6.1%
1 7
 
6.1%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 134
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23
17.2%
- 18
13.4%
7 16
11.9%
9 12
9.0%
4 12
9.0%
2 11
8.2%
8 10
7.5%
6 10
7.5%
5 7
 
5.2%
3 7
 
5.2%
Other values (2) 8
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23
17.2%
- 18
13.4%
7 16
11.9%
9 12
9.0%
4 12
9.0%
2 11
8.2%
8 10
7.5%
6 10
7.5%
5 7
 
5.2%
3 7
 
5.2%
Other values (2) 8
 
6.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
45 
142866
 
1
137860
 
1
142781
 
1

Length

Max length6
Median length4
Mean length4.125
Min length4

Unique

Unique3 ?
Unique (%)6.2%

Sample

1st row142866
2nd row137860
3rd row142781
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 45
93.8%
142866 1
 
2.1%
137860 1
 
2.1%
142781 1
 
2.1%

Length

2024-05-11T15:54:17.357262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:17.575994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
93.8%
142866 1
 
2.1%
137860 1
 
2.1%
142781 1
 
2.1%

지번주소
Text

Distinct39
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-11T15:54:17.824043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length25.291667
Min length19

Characters and Unicode

Total characters1214
Distinct characters95
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)66.7%

Sample

1st row서울특별시 강북구 번동 ***-****번지
2nd row서울특별시 서초구 서초동 ****-**번지 코리아비지니스센터 ***호
3rd row서울특별시 강북구 수유동 ***-**번지 극동아파트 ***동 ****호
4th row서울특별시 강북구 수유동 ***-***번지 ***호
5th row서울특별시 강북구 미아동 ***-*번지 *층
ValueCountFrequency (%)
서울특별시 48
21.0%
강북구 47
20.5%
27
11.8%
번지 19
 
8.3%
수유동 19
 
8.3%
미아동 15
 
6.6%
번동 12
 
5.2%
호 7
 
3.1%
가든타워빌딩 3
 
1.3%
층 2
 
0.9%
Other values (29) 30
13.1%
2024-05-11T15:54:18.413572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 257
21.2%
199
16.4%
동 52
 
4.3%
서 50
 
4.1%
북 49
 
4.0%
특 48
 
4.0%
별 48
 
4.0%
시 48
 
4.0%
강 48
 
4.0%
구 48
 
4.0%
Other values (85) 367
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 702
57.8%
Other Punctuation 257
 
21.2%
Space Separator 199
 
16.4%
Dash Punctuation 47
 
3.9%
Decimal Number 9
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 52
 
7.4%
서 50
 
7.1%
북 49
 
7.0%
특 48
 
6.8%
별 48
 
6.8%
시 48
 
6.8%
강 48
 
6.8%
구 48
 
6.8%
울 48
 
6.8%
번 31
 
4.4%
Other values (77) 232
33.0%
Decimal Number
ValueCountFrequency (%)
3 3
33.3%
6 2
22.2%
1 2
22.2%
7 1
 
11.1%
8 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 257
100.0%
Space Separator
ValueCountFrequency (%)
199
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 702
57.8%
Common 512
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 52
 
7.4%
서 50
 
7.1%
북 49
 
7.0%
특 48
 
6.8%
별 48
 
6.8%
시 48
 
6.8%
강 48
 
6.8%
구 48
 
6.8%
울 48
 
6.8%
번 31
 
4.4%
Other values (77) 232
33.0%
Common
ValueCountFrequency (%)
* 257
50.2%
199
38.9%
- 47
 
9.2%
3 3
 
0.6%
6 2
 
0.4%
1 2
 
0.4%
7 1
 
0.2%
8 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 702
57.8%
ASCII 512
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 257
50.2%
199
38.9%
- 47
 
9.2%
3 3
 
0.6%
6 2
 
0.4%
1 2
 
0.4%
7 1
 
0.2%
8 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 52
 
7.4%
서 50
 
7.1%
북 49
 
7.0%
특 48
 
6.8%
별 48
 
6.8%
시 48
 
6.8%
강 48
 
6.8%
구 48
 
6.8%
울 48
 
6.8%
번 31
 
4.4%
Other values (77) 232
33.0%

도로명주소
Text

MISSING 

Distinct43
Distinct (%)95.6%
Missing3
Missing (%)6.2%
Memory size516.0 B
2024-05-11T15:54:18.754416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length34.355556
Min length24

Characters and Unicode

Total characters1546
Distinct characters122
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

Unique41 ?
Unique (%)91.1%

Sample

1st row서울특별시 서초구 강남대로 ***, ***호 (서초동,코리아비지니스센터)
2nd row서울특별시 강북구 덕릉로*길 **, ***호 (수유동)
3rd row서울특별시 강북구 도봉로**길 ** (미아동,*층)
4th row서울특별시 강북구 오현로**길 ***, ***호 (번동,*층)
5th row서울특별시 강북구 한천로***길 **-** (수유동)
ValueCountFrequency (%)
서울특별시 45
15.1%
강북구 44
14.8%
43
14.4%
호 22
 
7.4%
수유동 17
 
5.7%
층 15
 
5.0%
미아동 14
 
4.7%
번동 10
 
3.4%
도봉로 7
 
2.3%
삼양로**길 5
 
1.7%
Other values (61) 76
25.5%
2024-05-11T15:54:19.375880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 264
17.1%
258
 
16.7%
, 51
 
3.3%
동 49
 
3.2%
서 47
 
3.0%
로 46
 
3.0%
강 46
 
3.0%
북 46
 
3.0%
) 45
 
2.9%
( 45
 
2.9%
Other values (112) 649
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 853
55.2%
Other Punctuation 315
 
20.4%
Space Separator 258
 
16.7%
Close Punctuation 45
 
2.9%
Open Punctuation 45
 
2.9%
Decimal Number 15
 
1.0%
Dash Punctuation 11
 
0.7%
Uppercase Letter 3
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
 
5.7%
서 47
 
5.5%
로 46
 
5.4%
강 46
 
5.4%
북 46
 
5.4%
울 45
 
5.3%
구 45
 
5.3%
시 45
 
5.3%
별 45
 
5.3%
특 45
 
5.3%
Other values (95) 394
46.2%
Decimal Number
ValueCountFrequency (%)
2 4
26.7%
3 4
26.7%
1 2
13.3%
0 2
13.3%
4 1
 
6.7%
7 1
 
6.7%
6 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
A 1
33.3%
B 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 264
83.8%
, 51
 
16.2%
Space Separator
ValueCountFrequency (%)
258
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 853
55.2%
Common 689
44.6%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
 
5.7%
서 47
 
5.5%
로 46
 
5.4%
강 46
 
5.4%
북 46
 
5.4%
울 45
 
5.3%
구 45
 
5.3%
시 45
 
5.3%
별 45
 
5.3%
특 45
 
5.3%
Other values (95) 394
46.2%
Common
ValueCountFrequency (%)
* 264
38.3%
258
37.4%
, 51
 
7.4%
) 45
 
6.5%
( 45
 
6.5%
- 11
 
1.6%
2 4
 
0.6%
3 4
 
0.6%
1 2
 
0.3%
0 2
 
0.3%
Other values (3) 3
 
0.4%
Latin
ValueCountFrequency (%)
R 1
25.0%
e 1
25.0%
A 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 853
55.2%
ASCII 693
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 264
38.1%
258
37.2%
, 51
 
7.4%
) 45
 
6.5%
( 45
 
6.5%
- 11
 
1.6%
2 4
 
0.6%
3 4
 
0.6%
1 2
 
0.3%
0 2
 
0.3%
Other values (7) 7
 
1.0%
Hangul
ValueCountFrequency (%)
동 49
 
5.7%
서 47
 
5.5%
로 46
 
5.4%
강 46
 
5.4%
북 46
 
5.4%
울 45
 
5.3%
구 45
 
5.3%
시 45
 
5.3%
별 45
 
5.3%
특 45
 
5.3%
Other values (95) 394
46.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)77.5%
Missing8
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean4646.125
Minimum1004
Maximum142891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T15:54:19.972310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004
5-th percentile1021.85
Q11058.75
median1078
Q31161
95-th percentile1201.95
Maximum142891
Range141887
Interquartile range (IQR)102.25

Descriptive statistics

Standard deviation22418.985
Coefficient of variation (CV)4.8253082
Kurtosis39.999396
Mean4646.125
Median Absolute Deviation (MAD)41
Skewness6.3244854
Sum185845
Variance5.0261089 × 108
MonotonicityNot monotonic
2024-05-11T15:54:20.201481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1062 6
 
12.5%
1161 2
 
4.2%
1138 2
 
4.2%
1051 2
 
4.2%
1189 2
 
4.2%
1054 1
 
2.1%
1019 1
 
2.1%
1168 1
 
2.1%
1004 1
 
2.1%
1079 1
 
2.1%
Other values (21) 21
43.8%
(Missing) 8
 
16.7%
ValueCountFrequency (%)
1004 1
2.1%
1019 1
2.1%
1022 1
2.1%
1028 1
2.1%
1043 1
2.1%
1051 2
4.2%
1053 1
2.1%
1054 1
2.1%
1058 1
2.1%
1059 1
2.1%
ValueCountFrequency (%)
142891 1
2.1%
1220 1
2.1%
1201 1
2.1%
1197 1
2.1%
1189 2
4.2%
1180 1
2.1%
1171 1
2.1%
1168 1
2.1%
1161 2
4.2%
1158 1
2.1%

사업장명
Text

Distinct47
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-05-11T15:54:20.613101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length7.2083333
Min length2

Characters and Unicode

Total characters346
Distinct characters142
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

Unique46 ?
Unique (%)95.8%

Sample

1st row생활성서사
2nd row(주)엔터큐브
3rd rowT.E.R.C
4th row제니스 플러스 미디어
5th row소울엔터테인먼트
ValueCountFrequency (%)
주식회사 7
 
10.6%
포즈 2
 
3.0%
디자인 2
 
3.0%
픽쳐스 2
 
3.0%
주 2
 
3.0%
레오 1
 
1.5%
이야기살림 1
 
1.5%
콜라보협동조합 1
 
1.5%
유니온 1
 
1.5%
씨 1
 
1.5%
Other values (46) 46
69.7%
2024-05-11T15:54:21.245894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
5.2%
주 15
 
4.3%
디 12
 
3.5%
) 11
 
3.2%
( 11
 
3.2%
스 11
 
3.2%
이 10
 
2.9%
사 9
 
2.6%
회 7
 
2.0%
인 7
 
2.0%
Other values (132) 235
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
80.1%
Space Separator 18
 
5.2%
Uppercase Letter 16
 
4.6%
Close Punctuation 11
 
3.2%
Open Punctuation 11
 
3.2%
Other Punctuation 9
 
2.6%
Lowercase Letter 3
 
0.9%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
 
5.4%
디 12
 
4.3%
스 11
 
4.0%
이 10
 
3.6%
사 9
 
3.2%
회 7
 
2.5%
인 7
 
2.5%
오 7
 
2.5%
식 7
 
2.5%
프 5
 
1.8%
Other values (112) 187
67.5%
Uppercase Letter
ValueCountFrequency (%)
T 3
18.8%
E 2
12.5%
L 2
12.5%
I 2
12.5%
M 2
12.5%
F 1
 
6.2%
N 1
 
6.2%
R 1
 
6.2%
C 1
 
6.2%
O 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 7
77.8%
, 1
 
11.1%
? 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
a 1
33.3%
c 1
33.3%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
80.1%
Common 50
 
14.5%
Latin 19
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
 
5.4%
디 12
 
4.3%
스 11
 
4.0%
이 10
 
3.6%
사 9
 
3.2%
회 7
 
2.5%
인 7
 
2.5%
오 7
 
2.5%
식 7
 
2.5%
프 5
 
1.8%
Other values (112) 187
67.5%
Latin
ValueCountFrequency (%)
T 3
15.8%
E 2
10.5%
L 2
10.5%
I 2
10.5%
M 2
10.5%
a 1
 
5.3%
F 1
 
5.3%
N 1
 
5.3%
R 1
 
5.3%
C 1
 
5.3%
Other values (3) 3
15.8%
Common
ValueCountFrequency (%)
18
36.0%
) 11
22.0%
( 11
22.0%
. 7
 
14.0%
, 1
 
2.0%
? 1
 
2.0%
3 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
80.1%
ASCII 69
 
19.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
26.1%
) 11
15.9%
( 11
15.9%
. 7
 
10.1%
T 3
 
4.3%
E 2
 
2.9%
L 2
 
2.9%
I 2
 
2.9%
M 2
 
2.9%
, 1
 
1.4%
Other values (10) 10
14.5%
Hangul
ValueCountFrequency (%)
주 15
 
5.4%
디 12
 
4.3%
스 11
 
4.0%
이 10
 
3.6%
사 9
 
3.2%
회 7
 
2.5%
인 7
 
2.5%
오 7
 
2.5%
식 7
 
2.5%
프 5
 
1.8%
Other values (112) 187
67.5%

최종수정일자
Date

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2006-07-21 09:35:45
Maximum2024-04-17 16:02:45
2024-05-11T15:54:21.458441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:54:21.648668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
I
36 
U
12 

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 36
75.0%
U 12
 
25.0%

Length

2024-05-11T15:54:21.843051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:21.994751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 36
75.0%
u 12
 
25.0%

데이터갱신일자
Date

Distinct33
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:09:00
2024-05-11T15:54:22.199083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:54:22.417879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

좌표정보(X)
Real number (ℝ)

Distinct44
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201924.87
Minimum200295.21
Maximum203041.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T15:54:22.649839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200295.21
5-th percentile201057.44
Q1201478.21
median202026.1
Q3202319.63
95-th percentile202857.04
Maximum203041.35
Range2746.1379
Interquartile range (IQR)841.41871

Descriptive statistics

Standard deviation609.40846
Coefficient of variation (CV)0.0030179961
Kurtosis-0.15476115
Mean201924.87
Median Absolute Deviation (MAD)415.30716
Skewness-0.36723398
Sum9692393.8
Variance371378.67
MonotonicityNot monotonic
2024-05-11T15:54:22.843309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
202155.401317068 3
 
6.2%
202443.441398401 2
 
4.2%
201666.863863193 2
 
4.2%
202886.755874852 1
 
2.1%
201259.577558759 1
 
2.1%
202415.602798577 1
 
2.1%
201425.248301789 1
 
2.1%
202079.178905462 1
 
2.1%
202651.533350789 1
 
2.1%
201612.827079567 1
 
2.1%
Other values (34) 34
70.8%
ValueCountFrequency (%)
200295.209541894 1
2.1%
200765.29984287 1
2.1%
201051.127581288 1
2.1%
201069.151226511 1
2.1%
201104.928799367 1
2.1%
201138.55426679 1
2.1%
201154.305977832 1
2.1%
201233.344017039 1
2.1%
201259.577558759 1
2.1%
201308.606536997 1
2.1%
ValueCountFrequency (%)
203041.347399226 1
2.1%
202930.470088404 1
2.1%
202886.755874852 1
2.1%
202801.862903624 1
2.1%
202677.90973112 1
2.1%
202651.533350789 1
2.1%
202631.106120887 1
2.1%
202623.297219041 1
2.1%
202483.029942697 1
2.1%
202443.441398401 2
4.2%

좌표정보(Y)
Real number (ℝ)

Distinct44
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458698.97
Minimum443154.96
Maximum461829.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T15:54:23.044047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum443154.96
5-th percentile457304.34
Q1458047.42
median459210.45
Q3459667.76
95-th percentile460348.09
Maximum461829.99
Range18675.023
Interquartile range (IQR)1620.3388

Descriptive statistics

Standard deviation2512.7548
Coefficient of variation (CV)0.0054780041
Kurtosis32.306611
Mean458698.97
Median Absolute Deviation (MAD)760.21143
Skewness-5.1924636
Sum22017550
Variance6313936.7
MonotonicityNot monotonic
2024-05-11T15:54:23.270715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
459411.940883021 3
 
6.2%
457708.146944977 2
 
4.2%
457627.782762292 2
 
4.2%
459070.360829272 1
 
2.1%
459145.111782892 1
 
2.1%
457850.270024593 1
 
2.1%
457269.520249946 1
 
2.1%
460329.319338554 1
 
2.1%
456660.462023001 1
 
2.1%
459827.02930018 1
 
2.1%
Other values (34) 34
70.8%
ValueCountFrequency (%)
443154.964346798 1
2.1%
456660.462023001 1
2.1%
457269.520249946 1
2.1%
457369.001979639 1
2.1%
457627.782762292 2
4.2%
457708.146944977 2
4.2%
457778.032946228 1
2.1%
457780.741529383 1
2.1%
457850.270024593 1
2.1%
457886.699362283 1
2.1%
ValueCountFrequency (%)
461829.987153339 1
2.1%
460385.3227153 1
2.1%
460358.193747616 1
2.1%
460329.319338554 1
2.1%
460086.31864512 1
2.1%
460053.551768857 1
2.1%
460047.689262819 1
2.1%
460007.527285804 1
2.1%
459933.793744931 1
2.1%
459909.34637925 1
2.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
25 
비디오물제작업
23 

Length

Max length7
Median length4
Mean length5.4375
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 25
52.1%
비디오물제작업 23
47.9%

Length

2024-05-11T15:54:23.704009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:23.891875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 25
52.1%
비디오물제작업 23
47.9%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
45 
유통관련업
 
3

Length

Max length5
Median length4
Mean length4.0625
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
93.8%
유통관련업 3
 
6.2%

Length

2024-05-11T15:54:24.066507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:24.288751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
93.8%
유통관련업 3
 
6.2%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
46 
5
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.875
Min length1

Unique

Unique2 ?
Unique (%)4.2%

Sample

1st row<NA>
2nd row5
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 46
95.8%
5 1
 
2.1%
0 1
 
2.1%

Length

2024-05-11T15:54:24.530097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:24.697643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
95.8%
5 1
 
2.1%
0 1
 
2.1%

주변환경명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing46
Missing (%)95.8%
Memory size516.0 B
2024-05-11T15:54:24.858498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3.5
Mean length3.5
Min length2

Characters and Unicode

Total characters7
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row기타
2nd row아파트지역
ValueCountFrequency (%)
기타 1
50.0%
아파트지역 1
50.0%
2024-05-11T15:54:25.245835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
14.3%
타 1
14.3%
아 1
14.3%
파 1
14.3%
트 1
14.3%
지 1
14.3%
역 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
14.3%
타 1
14.3%
아 1
14.3%
파 1
14.3%
트 1
14.3%
지 1
14.3%
역 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
14.3%
타 1
14.3%
아 1
14.3%
파 1
14.3%
트 1
14.3%
지 1
14.3%
역 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
14.3%
타 1
14.3%
아 1
14.3%
파 1
14.3%
트 1
14.3%
지 1
14.3%
역 1
14.3%

제작취급품목내용
Text

MISSING 

Distinct19
Distinct (%)90.5%
Missing27
Missing (%)56.2%
Memory size516.0 B
2024-05-11T15:54:25.491346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length11
Mean length9.7142857
Min length2

Characters and Unicode

Total characters204
Distinct characters66
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

Unique17 ?
Unique (%)81.0%

Sample

1st row비디오물제작
2nd row인터넷강의, 홍보물
3rd row영상컨텐츠 및 비디오제작
4th row비디오물
5th row기록영상,홍보영화
ValueCountFrequency (%)
영상물 4
 
12.1%
영상제작 2
 
6.1%
홍보물 2
 
6.1%
비디오물제작 2
 
6.1%
등 1
 
3.0%
영상물제작 1
 
3.0%
미디어 1
 
3.0%
디지털 1
 
3.0%
광고홍보영상 1
 
3.0%
동영상,vr영상 1
 
3.0%
Other values (17) 17
51.5%
2024-05-11T15:54:25.943275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 23
 
11.3%
상 18
 
8.8%
, 13
 
6.4%
12
 
5.9%
물 11
 
5.4%
디 10
 
4.9%
비 7
 
3.4%
작 7
 
3.4%
오 7
 
3.4%
제 7
 
3.4%
Other values (56) 89
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
75.5%
Uppercase Letter 15
 
7.4%
Other Punctuation 13
 
6.4%
Space Separator 12
 
5.9%
Lowercase Letter 7
 
3.4%
Decimal Number 1
 
0.5%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 23
14.9%
상 18
 
11.7%
물 11
 
7.1%
디 10
 
6.5%
비 7
 
4.5%
작 7
 
4.5%
오 7
 
4.5%
제 7
 
4.5%
홍 6
 
3.9%
보 6
 
3.9%
Other values (39) 52
33.8%
Uppercase Letter
ValueCountFrequency (%)
D 6
40.0%
V 4
26.7%
C 2
 
13.3%
F 1
 
6.7%
R 1
 
6.7%
T 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
p 1
14.3%
i 1
14.3%
d 1
14.3%
o 1
14.3%
a 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
75.5%
Common 28
 
13.7%
Latin 22
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 23
14.9%
상 18
 
11.7%
물 11
 
7.1%
디 10
 
6.5%
비 7
 
4.5%
작 7
 
4.5%
오 7
 
4.5%
제 7
 
4.5%
홍 6
 
3.9%
보 6
 
3.9%
Other values (39) 52
33.8%
Latin
ValueCountFrequency (%)
D 6
27.3%
V 4
18.2%
e 2
 
9.1%
C 2
 
9.1%
F 1
 
4.5%
R 1
 
4.5%
p 1
 
4.5%
i 1
 
4.5%
d 1
 
4.5%
o 1
 
4.5%
Other values (2) 2
 
9.1%
Common
ValueCountFrequency (%)
, 13
46.4%
12
42.9%
3 1
 
3.6%
) 1
 
3.6%
( 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
75.5%
ASCII 50
 
24.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 23
14.9%
상 18
 
11.7%
물 11
 
7.1%
디 10
 
6.5%
비 7
 
4.5%
작 7
 
4.5%
오 7
 
4.5%
제 7
 
4.5%
홍 6
 
3.9%
보 6
 
3.9%
Other values (39) 52
33.8%
ASCII
ValueCountFrequency (%)
, 13
26.0%
12
24.0%
D 6
12.0%
V 4
 
8.0%
e 2
 
4.0%
C 2
 
4.0%
F 1
 
2.0%
3 1
 
2.0%
R 1
 
2.0%
p 1
 
2.0%
Other values (7) 7
14.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)90.5%
Missing27
Missing (%)56.2%
Infinite0
Infinite (%)0.0%
Mean42.662857
Minimum0
Maximum131.77
Zeros1
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-05-11T15:54:26.156960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q131.8
median40.72
Q351.12
95-th percentile99.14
Maximum131.77
Range131.77
Interquartile range (IQR)19.32

Descriptive statistics

Standard deviation30.960155
Coefficient of variation (CV)0.72569343
Kurtosis2.6029952
Mean42.662857
Median Absolute Deviation (MAD)10.4
Skewness1.2134543
Sum895.92
Variance958.53121
MonotonicityNot monotonic
2024-05-11T15:54:26.356235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
50.0 2
 
4.2%
33.0 2
 
4.2%
1.0 1
 
2.1%
53.0 1
 
2.1%
50.23 1
 
2.1%
52.8 1
 
2.1%
6.9 1
 
2.1%
10.0 1
 
2.1%
51.12 1
 
2.1%
49.7 1
 
2.1%
Other values (9) 9
 
18.8%
(Missing) 27
56.2%
ValueCountFrequency (%)
0.0 1
2.1%
1.0 1
2.1%
6.9 1
2.1%
10.0 1
2.1%
16.6 1
2.1%
31.8 1
2.1%
33.0 2
4.2%
33.28 1
2.1%
36.25 1
2.1%
40.72 1
2.1%
ValueCountFrequency (%)
131.77 1
2.1%
99.14 1
2.1%
65.61 1
2.1%
53.0 1
2.1%
52.8 1
2.1%
51.12 1
2.1%
50.23 1
2.1%
50.0 2
4.2%
49.7 1
2.1%
40.72 1
2.1%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
46 
4
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.875
Min length1

Unique

Unique2 ?
Unique (%)4.2%

Sample

1st row<NA>
2nd row4
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 46
95.8%
4 1
 
2.1%
0 1
 
2.1%

Length

2024-05-11T15:54:26.599744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:26.909864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
95.8%
4 1
 
2.1%
0 1
 
2.1%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
46 
1
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.875
Min length1

Unique

Unique2 ?
Unique (%)4.2%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 46
95.8%
1 1
 
2.1%
0 1
 
2.1%

Length

2024-05-11T15:54:27.137548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:27.298205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
95.8%
1 1
 
2.1%
0 1
 
2.1%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing46
Missing (%)95.8%
Memory size516.0 B
2024-05-11T15:54:27.435348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Characters and Unicode

Total characters7
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row단독주택
2nd row아파트
ValueCountFrequency (%)
단독주택 1
50.0%
아파트 1
50.0%
2024-05-11T15:54:27.837606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
단 1
14.3%
독 1
14.3%
주 1
14.3%
택 1
14.3%
아 1
14.3%
파 1
14.3%
트 1
14.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
단 1
14.3%
독 1
14.3%
주 1
14.3%
택 1
14.3%
아 1
14.3%
파 1
14.3%
트 1
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
단 1
14.3%
독 1
14.3%
주 1
14.3%
택 1
14.3%
아 1
14.3%
파 1
14.3%
트 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
단 1
14.3%
독 1
14.3%
주 1
14.3%
택 1
14.3%
아 1
14.3%
파 1
14.3%
트 1
14.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
47 
0
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
97.9%
0 1
 
2.1%

Length

2024-05-11T15:54:28.117572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:28.293986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
97.9%
0 1
 
2.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
47 
0
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
97.9%
0 1
 
2.1%

Length

2024-05-11T15:54:28.528109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:28.748106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
97.9%
0 1
 
2.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
47 
0
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
97.9%
0 1
 
2.1%

Length

2024-05-11T15:54:28.984965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:29.203799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
97.9%
0 1
 
2.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
47 
0
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
97.9%
0 1
 
2.1%

Length

2024-05-11T15:54:29.408272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:29.593007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
97.9%
0 1
 
2.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size516.0 B
<NA>
47 
0
 
1

Length

Max length4
Median length4
Mean length3.9375
Min length1

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
97.9%
0 1
 
2.1%

Length

2024-05-11T15:54:29.750441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:54:29.962930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
97.9%
0 1
 
2.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing48
Missing (%)100.0%
Memory size564.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing46
Missing (%)95.8%
Memory size516.0 B
2024-05-11T15:54:30.184359image/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 row일반주거지역
2nd row일반주거지역
ValueCountFrequency (%)
일반주거지역 2
100.0%
2024-05-11T15:54:30.674189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 2
16.7%
반 2
16.7%
주 2
16.7%
거 2
16.7%
지 2
16.7%
역 2
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03080000CDFF124107200000000120000208<NA>1영업/정상13영업중<NA><NA><NA><NA>945-5989<NA>142866서울특별시 강북구 번동 ***-****번지<NA><NA>생활성서사2008-02-19 13:30:10I2018-08-31 23:59:59.0<NA>202677.909731458930.405425비디오물제작업유통관련업<NA><NA>비디오물제작<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>
13080000CDFF124107200600000120060417<NA>1영업/정상13영업중<NA><NA><NA><NA>583-4379<NA>137860서울특별시 서초구 서초동 ****-**번지 코리아비지니스센터 ***호서울특별시 서초구 강남대로 ***, ***호 (서초동,코리아비지니스센터)<NA>(주)엔터큐브2006-07-21 09:35:45I2018-08-31 23:59:59.0<NA>202623.297219443154.964347비디오물제작업유통관련업5기타<NA>40.7241단독주택<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
23080000CDFF124107200600000220060420<NA>3폐업3폐업20170116<NA><NA><NA><NA><NA>142781서울특별시 강북구 수유동 ***-**번지 극동아파트 ***동 ****호<NA><NA>T.E.R.C2017-01-16 16:36:14I2018-08-31 23:59:59.0<NA>201154.305978460047.689263비디오물제작업유통관련업<NA>아파트지역<NA><NA><NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
33080000CDFF124107200900000120090811<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-***번지 ***호서울특별시 강북구 덕릉로*길 **, ***호 (수유동)<NA>제니스 플러스 미디어2009-08-11 09:33:40I2018-08-31 23:59:59.0<NA>201233.344017458924.861086비디오물제작업<NA><NA><NA>인터넷강의, 홍보물65.61<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>
43080000CDFF124107201000000120101117<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-*번지 *층서울특별시 강북구 도봉로**길 ** (미아동,*층)<NA>소울엔터테인먼트2010-11-17 17:14:30I2018-08-31 23:59:59.0<NA>201919.953228458222.953524비디오물제작업<NA><NA><NA>영상컨텐츠 및 비디오제작31.8<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>
53080000CDFF124107201100000120090701<NA>1영업/정상13영업중<NA><NA><NA><NA>02-556-6302<NA><NA>서울특별시 강북구 번동 ***-*번지 *층 ***호서울특별시 강북구 오현로**길 ***, ***호 (번동,*층)<NA>(주)버즈픽쳐스2013-02-12 12:38:05I2018-08-31 23:59:59.0<NA>203041.347399458882.812051비디오물제작업<NA><NA><NA>비디오물1.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63080000CDFF124107201100000220110310<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*번지서울특별시 강북구 한천로***길 **-** (수유동)<NA>영상기록창2011-03-10 16:25:50I2018-08-31 23:59:59.0<NA>202287.63314459909.346379비디오물제작업<NA><NA><NA>기록영상,홍보영화36.25<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>
73080000CDFF124107201100000320100126<NA>3폐업3폐업20201204<NA><NA><NA>070-7019-0370<NA><NA>서울특별시 강북구 수유동 ***-***<NA><NA>(주)인디플러그2020-12-04 14:01:47U2020-12-06 02:40:00.0<NA>200295.209542460007.527286비디오물제작업<NA><NA><NA>영화DVD,영화CD,영화Video Tape33.28<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>
83080000CDFF124107201200000120120510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-***번지서울특별시 강북구 삼양로***길 **-** (수유동)1028또다른세상2013-01-31 17:41:39I2018-08-31 23:59:59.0<NA>201069.151227460385.322715비디오물제작업<NA><NA><NA>홍보영상, 뮤직비디오, 영화 등 영상물99.14<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>
93080000CDFF124107201400000120140630<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-*번지서울특별시 강북구 솔매로**길 * (미아동)1110제네럴 픽쳐스2014-06-30 16:35:05I2018-08-31 23:59:59.0<NA>201418.061127458156.738656비디오물제작업<NA><NA><NA>홍보물16.6<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
383080000CDFF12410720230000082022-10-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-****서울특별시 강북구 삼양로**길 **, *층 (미아동)1189포즈 디자인2023-06-14 17:06:08I2022-12-05 23:06:00.0<NA>201666.863863457627.782762<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>
393080000CDFF12410720230000092023-07-05<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4352-1144<NA><NA>서울특별시 강북구 미아동 ***-*서울특별시 강북구 도봉로 ***, e동 *층 ***호 (미아동)1161윌메이커스튜디오2023-07-05 10:18:38I2022-12-07 00:07:00.0<NA>202443.441398457708.146945<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>
403080000CDFF12410720230000102023-08-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-** 유림빌라서울특별시 강북구 삼양로**길 *-**, ***호 (수유동, 유림빌라)1079앤쓰리필름(N3FILM)2023-08-23 15:30:33I2022-12-07 22:05:00.0<NA>201495.859686459486.96027<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>
413080000CDFF12410720230000112023-09-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-*** 성도주택서울특별시 강북구 오현로*길 ***, *층 *호 (미아동, 성도주택)1153?(TaT)2023-09-11 18:01:53I2022-12-08 23:03:00.0<NA>202801.862904457778.032946<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>
423080000CDFF12410720230000122023-11-05<NA>3폐업3폐업2024-01-30<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**서울특별시 강북구 삼양로**길 **-*, *층 (미아동)1201킹스민2024-01-30 15:42:24U2023-12-02 00:01:00.0<NA>201893.924139457369.00198<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>
433080000CDFF12410720230000132023-11-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-** 성재빌딩서울특별시 강북구 한천로***길 **, 성재빌딩 *층 (수유동)1053클릭2023-11-07 13:19:53I2022-11-01 00:09:00.0<NA>201985.658062460086.318645<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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