Overview

Dataset statistics

Number of variables56
Number of observations35
Missing cells1002
Missing cells (%)51.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.8 KiB
Average record size in memory490.8 B

Variable types

Categorical16
Text8
DateTime4
Unsupported24
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-17809/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
데이터갱신구분 is highly imbalanced (56.2%)Imbalance
총층수 is highly imbalanced (60.6%)Imbalance
지상층수 is highly imbalanced (53.0%)Imbalance
지하층수 is highly imbalanced (53.9%)Imbalance
통로너비 is highly imbalanced (57.8%)Imbalance
조명시설조도 is highly imbalanced (57.8%)Imbalance
노래방실수 is highly imbalanced (57.8%)Imbalance
청소년실수 is highly imbalanced (57.8%)Imbalance
총게임기수 is highly imbalanced (57.8%)Imbalance
인허가취소일자 has 35 (100.0%) missing valuesMissing
폐업일자 has 28 (80.0%) missing valuesMissing
휴업시작일자 has 35 (100.0%) missing valuesMissing
휴업종료일자 has 35 (100.0%) missing valuesMissing
재개업일자 has 35 (100.0%) missing valuesMissing
전화번호 has 21 (60.0%) missing valuesMissing
소재지면적 has 35 (100.0%) missing valuesMissing
소재지우편번호 has 35 (100.0%) missing valuesMissing
도로명주소 has 1 (2.9%) missing valuesMissing
도로명우편번호 has 5 (14.3%) missing valuesMissing
업태구분명 has 35 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.9%) missing valuesMissing
좌표정보(Y) has 1 (2.9%) missing valuesMissing
주변환경명 has 34 (97.1%) missing valuesMissing
제작취급품목내용 has 17 (48.6%) missing valuesMissing
시설면적 has 21 (60.0%) missing valuesMissing
건물용도명 has 33 (94.3%) missing valuesMissing
비상계단여부 has 35 (100.0%) missing valuesMissing
비상구여부 has 35 (100.0%) missing valuesMissing
자동환기여부 has 35 (100.0%) missing valuesMissing
청소년실여부 has 35 (100.0%) missing valuesMissing
특수조명여부 has 35 (100.0%) missing valuesMissing
방음시설여부 has 35 (100.0%) missing valuesMissing
비디오재생기명 has 35 (100.0%) missing valuesMissing
조명시설유무 has 35 (100.0%) missing valuesMissing
음향시설여부 has 35 (100.0%) missing valuesMissing
편의시설여부 has 35 (100.0%) missing valuesMissing
소방시설여부 has 35 (100.0%) missing valuesMissing
기존게임업외업종명 has 35 (100.0%) missing valuesMissing
제공게임물명 has 35 (100.0%) missing valuesMissing
공연장형태구분명 has 35 (100.0%) missing valuesMissing
품목명 has 35 (100.0%) missing valuesMissing
최초등록시점 has 35 (100.0%) missing valuesMissing
지역구분명 has 35 (100.0%) 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
소재지우편번호 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 1 (2.9%) zerosZeros

Reproduction

Analysis started2024-05-11 08:43:45.896602
Analysis finished2024-05-11 08:43:47.139674
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
3070000
35 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 35
100.0%

Length

2024-05-11T08:43:47.341423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:43:47.667818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 35
100.0%

관리번호
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-05-11T08:43:48.112833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters700
Distinct characters12
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

Unique35 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061999000001
2nd rowCDFF3241062001000001
3rd rowCDFF3241062006000001
4th rowCDFF3241062009000002
5th rowCDFF3241062010000001
ValueCountFrequency (%)
cdff3241061999000001 1
 
2.9%
cdff3241062018000004 1
 
2.9%
cdff3241062020000001 1
 
2.9%
cdff3241062021000001 1
 
2.9%
cdff3241062021000002 1
 
2.9%
cdff3241062021000003 1
 
2.9%
cdff3241062021000004 1
 
2.9%
cdff3241062021000005 1
 
2.9%
cdff3241062018000005 1
 
2.9%
cdff3241062022000001 1
 
2.9%
Other values (25) 25
71.4%
2024-05-11T08:43:49.116320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 250
35.7%
2 100
 
14.3%
1 73
 
10.4%
F 70
 
10.0%
3 45
 
6.4%
4 42
 
6.0%
6 37
 
5.3%
C 35
 
5.0%
D 35
 
5.0%
8 5
 
0.7%
Other values (2) 8
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
80.0%
Uppercase Letter 140
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 250
44.6%
2 100
 
17.9%
1 73
 
13.0%
3 45
 
8.0%
4 42
 
7.5%
6 37
 
6.6%
8 5
 
0.9%
9 4
 
0.7%
5 4
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 70
50.0%
C 35
25.0%
D 35
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 560
80.0%
Latin 140
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 250
44.6%
2 100
 
17.9%
1 73
 
13.0%
3 45
 
8.0%
4 42
 
7.5%
6 37
 
6.6%
8 5
 
0.9%
9 4
 
0.7%
5 4
 
0.7%
Latin
ValueCountFrequency (%)
F 70
50.0%
C 35
25.0%
D 35
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 250
35.7%
2 100
 
14.3%
1 73
 
10.4%
F 70
 
10.0%
3 45
 
6.4%
4 42
 
6.0%
6 37
 
5.3%
C 35
 
5.0%
D 35
 
5.0%
8 5
 
0.7%
Other values (2) 8
 
1.1%

인허가일자
Date

Distinct34
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum1999-06-19 00:00:00
Maximum2024-02-05 00:00:00
2024-05-11T08:43:49.535209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:43:50.046950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
1
28 
3
6 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 28
80.0%
3 6
 
17.1%
5 1
 
2.9%

Length

2024-05-11T08:43:50.521047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:43:50.923422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 28
80.0%
3 6
 
17.1%
5 1
 
2.9%

영업상태명
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
영업/정상
28 
폐업
6 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length4.5714286
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 28
80.0%
폐업 6
 
17.1%
제외/삭제/전출 1
 
2.9%

Length

2024-05-11T08:43:51.371975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:43:51.822639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 28
80.0%
폐업 6
 
17.1%
제외/삭제/전출 1
 
2.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
13
28 
3
6 
15
 
1

Length

Max length2
Median length2
Mean length1.8285714
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
13 28
80.0%
3 6
 
17.1%
15 1
 
2.9%

Length

2024-05-11T08:43:52.435751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:43:52.881861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 28
80.0%
3 6
 
17.1%
15 1
 
2.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
영업중
28 
폐업
6 
전출
 
1

Length

Max length3
Median length3
Mean length2.8
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 28
80.0%
폐업 6
 
17.1%
전출 1
 
2.9%

Length

2024-05-11T08:43:53.321542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:43:53.722888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 28
80.0%
폐업 6
 
17.1%
전출 1
 
2.9%

폐업일자
Date

MISSING 

Distinct7
Distinct (%)100.0%
Missing28
Missing (%)80.0%
Memory size412.0 B
Minimum2000-01-01 00:00:00
Maximum2023-08-10 00:00:00
2024-05-11T08:43:54.034736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:43:54.568602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

전화번호
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing21
Missing (%)60.0%
Memory size412.0 B
2024-05-11T08:43:55.112942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11.5
Mean length10.857143
Min length8

Characters and Unicode

Total characters152
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 (%)85.7%

Sample

1st row937-5237
2nd row02)912-3085
3rd row743-5904
4th row02-928-8146
5th row070-8825-6418
ValueCountFrequency (%)
02-2088-8944 2
14.3%
937-5237 1
 
7.1%
02)912-3085 1
 
7.1%
743-5904 1
 
7.1%
02-928-8146 1
 
7.1%
070-8825-6418 1
 
7.1%
924-0752 1
 
7.1%
02-912-2887 1
 
7.1%
1833-6845 1
 
7.1%
02-941-0408 1
 
7.1%
Other values (3) 3
21.4%
2024-05-11T08:43:56.098066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 23
15.1%
0 22
14.5%
2 21
13.8%
8 19
12.5%
9 12
7.9%
4 12
7.9%
7 11
7.2%
1 10
6.6%
5 8
 
5.3%
3 7
 
4.6%
Other values (2) 7
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 128
84.2%
Dash Punctuation 23
 
15.1%
Close Punctuation 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22
17.2%
2 21
16.4%
8 19
14.8%
9 12
9.4%
4 12
9.4%
7 11
8.6%
1 10
7.8%
5 8
 
6.2%
3 7
 
5.5%
6 6
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 23
15.1%
0 22
14.5%
2 21
13.8%
8 19
12.5%
9 12
7.9%
4 12
7.9%
7 11
7.2%
1 10
6.6%
5 8
 
5.3%
3 7
 
4.6%
Other values (2) 7
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 23
15.1%
0 22
14.5%
2 21
13.8%
8 19
12.5%
9 12
7.9%
4 12
7.9%
7 11
7.2%
1 10
6.6%
5 8
 
5.3%
3 7
 
4.6%
Other values (2) 7
 
4.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

지번주소
Text

Distinct32
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-05-11T08:43:56.589654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length25.971429
Min length18

Characters and Unicode

Total characters909
Distinct characters93
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

Unique29 ?
Unique (%)82.9%

Sample

1st row서울특별시 성북구 삼선동*가 ***번지
2nd row서울특별시 성북구 성북동 ***-**번지 (*층)
3rd row서울특별시 성북구 동선동*가 ***-*번지
4th row서울특별시 성북구 삼선동*가 **-**번지 ***호
5th row서울특별시 성북구 삼선동*가 **번지 현명빌딩
ValueCountFrequency (%)
서울특별시 35
20.6%
성북구 35
20.6%
번지 19
11.2%
16
9.4%
삼선동*가 7
 
4.1%
동선동*가 6
 
3.5%
돈암동 6
 
3.5%
호 6
 
3.5%
길음동 5
 
2.9%
보문동*가 3
 
1.8%
Other values (25) 32
18.8%
2024-05-11T08:43:57.739779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 170
18.7%
157
17.3%
동 44
 
4.8%
성 42
 
4.6%
북 41
 
4.5%
울 38
 
4.2%
서 37
 
4.1%
특 35
 
3.9%
별 35
 
3.9%
시 35
 
3.9%
Other values (83) 275
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 552
60.7%
Other Punctuation 170
 
18.7%
Space Separator 157
 
17.3%
Dash Punctuation 20
 
2.2%
Uppercase Letter 6
 
0.7%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 44
 
8.0%
성 42
 
7.6%
북 41
 
7.4%
울 38
 
6.9%
서 37
 
6.7%
특 35
 
6.3%
별 35
 
6.3%
시 35
 
6.3%
구 35
 
6.3%
번 19
 
3.4%
Other values (72) 191
34.6%
Uppercase Letter
ValueCountFrequency (%)
R 1
16.7%
S 1
16.7%
M 1
16.7%
P 1
16.7%
A 1
16.7%
K 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 170
100.0%
Space Separator
ValueCountFrequency (%)
157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 552
60.7%
Common 351
38.6%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 44
 
8.0%
성 42
 
7.6%
북 41
 
7.4%
울 38
 
6.9%
서 37
 
6.7%
특 35
 
6.3%
별 35
 
6.3%
시 35
 
6.3%
구 35
 
6.3%
번 19
 
3.4%
Other values (72) 191
34.6%
Latin
ValueCountFrequency (%)
R 1
16.7%
S 1
16.7%
M 1
16.7%
P 1
16.7%
A 1
16.7%
K 1
16.7%
Common
ValueCountFrequency (%)
* 170
48.4%
157
44.7%
- 20
 
5.7%
( 2
 
0.6%
) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 552
60.7%
ASCII 357
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 170
47.6%
157
44.0%
- 20
 
5.6%
( 2
 
0.6%
) 2
 
0.6%
R 1
 
0.3%
S 1
 
0.3%
M 1
 
0.3%
P 1
 
0.3%
A 1
 
0.3%
Hangul
ValueCountFrequency (%)
동 44
 
8.0%
성 42
 
7.6%
북 41
 
7.4%
울 38
 
6.9%
서 37
 
6.7%
특 35
 
6.3%
별 35
 
6.3%
시 35
 
6.3%
구 35
 
6.3%
번 19
 
3.4%
Other values (72) 191
34.6%

도로명주소
Text

MISSING 

Distinct32
Distinct (%)94.1%
Missing1
Missing (%)2.9%
Memory size412.0 B
2024-05-11T08:43:58.358656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length41.5
Mean length35.264706
Min length22

Characters and Unicode

Total characters1199
Distinct characters109
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

Unique30 ?
Unique (%)88.2%

Sample

1st row서울특별시 성북구 성북로 ** (성북동,(*층))
2nd row서울특별시 성북구 아리랑로 ** (동선동*가)
3rd row서울특별시 성북구 창경궁로 ***-* (삼선동*가,***호)
4th row서울특별시 성북구 삼선교로 **, ***호 (삼선동*가, 현명빌딩)
5th row서울특별시 성북구 보국문로*길 ** (정릉동,***호)
ValueCountFrequency (%)
35
15.6%
서울특별시 34
15.2%
성북구 34
15.2%
호 14
 
6.2%
층 7
 
3.1%
동 6
 
2.7%
돈암동 6
 
2.7%
동선동*가 6
 
2.7%
삼선동*가 5
 
2.2%
길음동 5
 
2.2%
Other values (54) 72
32.1%
2024-05-11T08:43:59.824362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 206
17.2%
194
16.2%
동 51
 
4.3%
성 43
 
3.6%
북 42
 
3.5%
울 37
 
3.1%
서 36
 
3.0%
( 36
 
3.0%
) 36
 
3.0%
특 34
 
2.8%
Other values (99) 484
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 678
56.5%
Other Punctuation 239
 
19.9%
Space Separator 194
 
16.2%
Open Punctuation 36
 
3.0%
Close Punctuation 36
 
3.0%
Dash Punctuation 9
 
0.8%
Uppercase Letter 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 51
 
7.5%
성 43
 
6.3%
북 42
 
6.2%
울 37
 
5.5%
서 36
 
5.3%
특 34
 
5.0%
별 34
 
5.0%
시 34
 
5.0%
구 34
 
5.0%
로 34
 
5.0%
Other values (86) 299
44.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
14.3%
M 1
14.3%
P 1
14.3%
A 1
14.3%
R 1
14.3%
K 1
14.3%
B 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 206
86.2%
, 33
 
13.8%
Space Separator
ValueCountFrequency (%)
194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 678
56.5%
Common 514
42.9%
Latin 7
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 51
 
7.5%
성 43
 
6.3%
북 42
 
6.2%
울 37
 
5.5%
서 36
 
5.3%
특 34
 
5.0%
별 34
 
5.0%
시 34
 
5.0%
구 34
 
5.0%
로 34
 
5.0%
Other values (86) 299
44.1%
Latin
ValueCountFrequency (%)
S 1
14.3%
M 1
14.3%
P 1
14.3%
A 1
14.3%
R 1
14.3%
K 1
14.3%
B 1
14.3%
Common
ValueCountFrequency (%)
* 206
40.1%
194
37.7%
( 36
 
7.0%
) 36
 
7.0%
, 33
 
6.4%
- 9
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 678
56.5%
ASCII 521
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 206
39.5%
194
37.2%
( 36
 
6.9%
) 36
 
6.9%
, 33
 
6.3%
- 9
 
1.7%
S 1
 
0.2%
M 1
 
0.2%
P 1
 
0.2%
A 1
 
0.2%
Other values (3) 3
 
0.6%
Hangul
ValueCountFrequency (%)
동 51
 
7.5%
성 43
 
6.3%
북 42
 
6.2%
울 37
 
5.5%
서 36
 
5.3%
특 34
 
5.0%
별 34
 
5.0%
시 34
 
5.0%
구 34
 
5.0%
로 34
 
5.0%
Other values (86) 299
44.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)60.0%
Missing5
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean2817.2333
Minimum2721
Maximum2872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T08:44:00.215793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2721
5-th percentile2722.8
Q12804
median2829
Q32859.75
95-th percentile2872
Maximum2872
Range151
Interquartile range (IQR)55.75

Descriptive statistics

Standard deviation50.921632
Coefficient of variation (CV)0.01807505
Kurtosis-0.30872385
Mean2817.2333
Median Absolute Deviation (MAD)28
Skewness-0.9819438
Sum84517
Variance2593.0126
MonotonicityNot monotonic
2024-05-11T08:44:00.767223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2725 3
 
8.6%
2872 3
 
8.6%
2829 3
 
8.6%
2721 2
 
5.7%
2807 2
 
5.7%
2861 2
 
5.7%
2849 2
 
5.7%
2827 2
 
5.7%
2863 2
 
5.7%
2831 1
 
2.9%
Other values (8) 8
22.9%
(Missing) 5
14.3%
ValueCountFrequency (%)
2721 2
5.7%
2725 3
8.6%
2739 1
 
2.9%
2800 1
 
2.9%
2803 1
 
2.9%
2807 2
5.7%
2824 1
 
2.9%
2826 1
 
2.9%
2827 2
5.7%
2829 3
8.6%
ValueCountFrequency (%)
2872 3
8.6%
2867 1
 
2.9%
2863 2
5.7%
2861 2
5.7%
2856 1
 
2.9%
2849 2
5.7%
2837 1
 
2.9%
2831 1
 
2.9%
2829 3
8.6%
2827 2
5.7%

사업장명
Text

Distinct33
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-05-11T08:44:01.504987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length9.3428571
Min length3

Characters and Unicode

Total characters327
Distinct characters145
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)88.6%

Sample

1st row아코이
2nd row송강기획(주)
3rd row네트워크리더쉽코리아
4th row(주)신붕민예
5th rowGM엔터테인먼트
ValueCountFrequency (%)
주식회사 4
 
6.6%
국악성가연구소 2
 
3.3%
러프페이지 2
 
3.3%
뮤직 2
 
3.3%
레인보우 1
 
1.6%
퓨쳐메이커스 1
 
1.6%
아코이 1
 
1.6%
스튜디오 1
 
1.6%
더 1
 
1.6%
박스 1
 
1.6%
Other values (45) 45
73.8%
2024-05-11T08:44:02.624469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
8.0%
) 11
 
3.4%
( 11
 
3.4%
주 10
 
3.1%
스 9
 
2.8%
이 9
 
2.8%
리 8
 
2.4%
인 7
 
2.1%
사 5
 
1.5%
디 5
 
1.5%
Other values (135) 226
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
71.3%
Uppercase Letter 29
 
8.9%
Space Separator 26
 
8.0%
Close Punctuation 11
 
3.4%
Open Punctuation 11
 
3.4%
Lowercase Letter 11
 
3.4%
Decimal Number 4
 
1.2%
Other Punctuation 1
 
0.3%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10
 
4.3%
스 9
 
3.9%
이 9
 
3.9%
리 8
 
3.4%
인 7
 
3.0%
사 5
 
2.1%
디 5
 
2.1%
지 5
 
2.1%
트 4
 
1.7%
더 4
 
1.7%
Other values (103) 167
71.7%
Uppercase Letter
ValueCountFrequency (%)
M 3
10.3%
O 3
10.3%
S 3
10.3%
D 2
 
6.9%
L 2
 
6.9%
C 2
 
6.9%
N 2
 
6.9%
E 2
 
6.9%
H 2
 
6.9%
G 2
 
6.9%
Other values (6) 6
20.7%
Lowercase Letter
ValueCountFrequency (%)
r 2
18.2%
l 2
18.2%
b 1
9.1%
h 1
9.1%
e 1
9.1%
y 1
9.1%
d 1
9.1%
s 1
9.1%
i 1
9.1%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
5 2
50.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 234
71.6%
Common 53
 
16.2%
Latin 40
 
12.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10
 
4.3%
스 9
 
3.8%
이 9
 
3.8%
리 8
 
3.4%
인 7
 
3.0%
사 5
 
2.1%
디 5
 
2.1%
지 5
 
2.1%
트 4
 
1.7%
더 4
 
1.7%
Other values (104) 168
71.8%
Latin
ValueCountFrequency (%)
M 3
 
7.5%
O 3
 
7.5%
S 3
 
7.5%
D 2
 
5.0%
L 2
 
5.0%
C 2
 
5.0%
r 2
 
5.0%
l 2
 
5.0%
N 2
 
5.0%
E 2
 
5.0%
Other values (15) 17
42.5%
Common
ValueCountFrequency (%)
26
49.1%
) 11
20.8%
( 11
20.8%
2 2
 
3.8%
5 2
 
3.8%
. 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
71.3%
ASCII 93
 
28.4%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
26
28.0%
) 11
 
11.8%
( 11
 
11.8%
M 3
 
3.2%
O 3
 
3.2%
S 3
 
3.2%
D 2
 
2.2%
L 2
 
2.2%
C 2
 
2.2%
2 2
 
2.2%
Other values (21) 28
30.1%
Hangul
ValueCountFrequency (%)
주 10
 
4.3%
스 9
 
3.9%
이 9
 
3.9%
리 8
 
3.4%
인 7
 
3.0%
사 5
 
2.1%
디 5
 
2.1%
지 5
 
2.1%
트 4
 
1.7%
더 4
 
1.7%
Other values (103) 167
71.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2010-08-09 13:56:10
Maximum2024-02-05 17:05:38
2024-05-11T08:44:03.286993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:44:03.744241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
I
30 
U
4 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
I 30
85.7%
U 4
 
11.4%
D 1
 
2.9%

Length

2024-05-11T08:44:04.230591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:44:04.732661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 30
85.7%
u 4
 
11.4%
d 1
 
2.9%

데이터갱신일자
Date

Distinct19
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:07:00
2024-05-11T08:44:05.032522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:44:05.405815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)91.2%
Missing1
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean201450.29
Minimum199477.18
Maximum203270.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T08:44:05.805739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199477.18
5-th percentile200186.58
Q1200986.05
median201471.93
Q3201907.04
95-th percentile202793.14
Maximum203270.93
Range3793.7489
Interquartile range (IQR)920.98995

Descriptive statistics

Standard deviation805.23371
Coefficient of variation (CV)0.0039971831
Kurtosis0.54038092
Mean201450.29
Median Absolute Deviation (MAD)458.97848
Skewness-0.035364089
Sum6849309.9
Variance648401.33
MonotonicityNot monotonic
2024-05-11T08:44:06.227772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
201886.666805861 2
 
5.7%
200824.924527451 2
 
5.7%
201097.689502532 2
 
5.7%
201947.993533529 1
 
2.9%
201989.271689499 1
 
2.9%
201395.246426677 1
 
2.9%
201913.830800365 1
 
2.9%
201548.620949518 1
 
2.9%
202778.74627599 1
 
2.9%
200267.609054044 1
 
2.9%
Other values (21) 21
60.0%
ValueCountFrequency (%)
199477.183716877 1
2.9%
200036.101823647 1
2.9%
200267.609054044 1
2.9%
200379.779213941 1
2.9%
200743.205132779 1
2.9%
200824.924527451 2
5.7%
200841.726990037 1
2.9%
200962.88960625 1
2.9%
201055.530580464 1
2.9%
201097.689502532 2
5.7%
ValueCountFrequency (%)
203270.932666666 1
2.9%
202819.871767584 1
2.9%
202778.74627599 1
2.9%
202770.701448009 1
2.9%
202010.412505798 1
2.9%
201989.271689499 1
2.9%
201973.92566522 1
2.9%
201947.993533529 1
2.9%
201913.830800365 1
2.9%
201886.666805861 2
5.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)91.2%
Missing1
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean454768.57
Minimum453302.58
Maximum456200.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T08:44:06.594290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453302.58
5-th percentile453519.14
Q1454065.07
median454766.32
Q3455319.13
95-th percentile456108.02
Maximum456200.61
Range2898.0258
Interquartile range (IQR)1254.0667

Descriptive statistics

Standard deviation833.75218
Coefficient of variation (CV)0.0018333549
Kurtosis-1.0281514
Mean454768.57
Median Absolute Deviation (MAD)696.47917
Skewness0.020827852
Sum15462131
Variance695142.69
MonotonicityNot monotonic
2024-05-11T08:44:07.079045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
455714.252149231 2
 
5.7%
454025.315015361 2
 
5.7%
454065.066322136 2
 
5.7%
455351.6069428 1
 
2.9%
455190.095862939 1
 
2.9%
454622.664384213 1
 
2.9%
456200.605609337 1
 
2.9%
453550.457301075 1
 
2.9%
455751.390285744 1
 
2.9%
454330.140219949 1
 
2.9%
Other values (21) 21
60.0%
ValueCountFrequency (%)
453302.57979037 1
2.9%
453460.990302724 1
2.9%
453550.457301075 1
2.9%
453596.672961003 1
2.9%
453772.781996422 1
2.9%
453923.218172057 1
2.9%
454025.315015361 2
5.7%
454065.066322136 2
5.7%
454149.011691135 1
2.9%
454164.925243468 1
2.9%
ValueCountFrequency (%)
456200.605609337 1
2.9%
456178.853732657 1
2.9%
456069.874150175 1
2.9%
455881.033752973 1
2.9%
455751.390285744 1
2.9%
455714.252149231 2
5.7%
455458.024657239 1
2.9%
455351.6069428 1
2.9%
455221.711377925 1
2.9%
455190.095862939 1
2.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
음반.음악영상물제작업
26 
<NA>
9 

Length

Max length11
Median length11
Mean length9.2
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음반.음악영상물제작업
2nd row음반.음악영상물제작업
3rd row음반.음악영상물제작업
4th row음반.음악영상물제작업
5th row음반.음악영상물제작업

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 26
74.3%
<NA> 9
 
25.7%

Length

2024-05-11T08:44:07.547721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:44:07.894482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 26
74.3%
na 9
 
25.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
유통관련업
26 
<NA>
9 

Length

Max length5
Median length5
Mean length4.7428571
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 26
74.3%
<NA> 9
 
25.7%

Length

2024-05-11T08:44:08.267045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:44:08.592960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 26
74.3%
na 9
 
25.7%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
30 
0
 
3
3
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.5714286
Min length1

Unique

Unique2 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 30
85.7%
0 3
 
8.6%
3 1
 
2.9%
5 1
 
2.9%

Length

2024-05-11T08:44:08.952841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:44:09.310617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
85.7%
0 3
 
8.6%
3 1
 
2.9%
5 1
 
2.9%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing34
Missing (%)97.1%
Memory size412.0 B
2024-05-11T08:44:09.626162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters8
Distinct characters8
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row학교정화(상대)
ValueCountFrequency (%)
학교정화(상대 1
100.0%
2024-05-11T08:44:10.215666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 1
12.5%
교 1
12.5%
정 1
12.5%
화 1
12.5%
( 1
12.5%
상 1
12.5%
대 1
12.5%
) 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
75.0%
Open Punctuation 1
 
12.5%
Close Punctuation 1
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 1
16.7%
교 1
16.7%
정 1
16.7%
화 1
16.7%
상 1
16.7%
대 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
75.0%
Common 2
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 1
16.7%
교 1
16.7%
정 1
16.7%
화 1
16.7%
상 1
16.7%
대 1
16.7%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
75.0%
ASCII 2
 
25.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 1
16.7%
교 1
16.7%
정 1
16.7%
화 1
16.7%
상 1
16.7%
대 1
16.7%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

제작취급품목내용
Text

MISSING 

Distinct15
Distinct (%)83.3%
Missing17
Missing (%)48.6%
Memory size412.0 B
2024-05-11T08:44:10.568993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length18.5
Mean length10
Min length2

Characters and Unicode

Total characters180
Distinct characters47
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

Unique13 ?
Unique (%)72.2%

Sample

1st row음반, CD, DVD, Tape
2nd row음악cd,공연영상물(dvd),연극,영화영상물(dvd)등
3rd row음반(CD,DVD,TAPE)
4th rowCD, DVD, 뮤직비디오, 음원 등
5th row음반.영상물제작
ValueCountFrequency (%)
음반 8
24.2%
음원 5
15.2%
cd 2
 
6.1%
dvd 2
 
6.1%
등 2
 
6.1%
영상물 1
 
3.0%
영상콘텐츠 1
 
3.0%
노래영상물제작,노래음악영상파일,sd카드 1
 
3.0%
음원영상 1
 
3.0%
음악영상물 1
 
3.0%
Other values (9) 9
27.3%
2024-05-11T08:44:11.436274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 23
 
12.8%
, 18
 
10.0%
15
 
8.3%
영 12
 
6.7%
반 12
 
6.7%
상 11
 
6.1%
D 10
 
5.6%
물 7
 
3.9%
원 6
 
3.3%
d 5
 
2.8%
Other values (37) 61
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106
58.9%
Uppercase Letter 22
 
12.2%
Other Punctuation 20
 
11.1%
Space Separator 15
 
8.3%
Lowercase Letter 11
 
6.1%
Close Punctuation 3
 
1.7%
Open Punctuation 3
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 23
21.7%
영 12
11.3%
반 12
11.3%
상 11
10.4%
물 7
 
6.6%
원 6
 
5.7%
악 5
 
4.7%
등 3
 
2.8%
작 3
 
2.8%
제 3
 
2.8%
Other values (18) 21
19.8%
Uppercase Letter
ValueCountFrequency (%)
D 10
45.5%
V 3
 
13.6%
C 3
 
13.6%
T 2
 
9.1%
S 1
 
4.5%
E 1
 
4.5%
P 1
 
4.5%
A 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
d 5
45.5%
v 2
 
18.2%
c 1
 
9.1%
e 1
 
9.1%
p 1
 
9.1%
a 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 18
90.0%
. 2
 
10.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106
58.9%
Common 41
 
22.8%
Latin 33
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 23
21.7%
영 12
11.3%
반 12
11.3%
상 11
10.4%
물 7
 
6.6%
원 6
 
5.7%
악 5
 
4.7%
등 3
 
2.8%
작 3
 
2.8%
제 3
 
2.8%
Other values (18) 21
19.8%
Latin
ValueCountFrequency (%)
D 10
30.3%
d 5
15.2%
V 3
 
9.1%
C 3
 
9.1%
v 2
 
6.1%
T 2
 
6.1%
S 1
 
3.0%
E 1
 
3.0%
P 1
 
3.0%
A 1
 
3.0%
Other values (4) 4
 
12.1%
Common
ValueCountFrequency (%)
, 18
43.9%
15
36.6%
) 3
 
7.3%
( 3
 
7.3%
. 2
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106
58.9%
ASCII 74
41.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 23
21.7%
영 12
11.3%
반 12
11.3%
상 11
10.4%
물 7
 
6.6%
원 6
 
5.7%
악 5
 
4.7%
등 3
 
2.8%
작 3
 
2.8%
제 3
 
2.8%
Other values (18) 21
19.8%
ASCII
ValueCountFrequency (%)
, 18
24.3%
15
20.3%
D 10
13.5%
d 5
 
6.8%
) 3
 
4.1%
( 3
 
4.1%
V 3
 
4.1%
C 3
 
4.1%
v 2
 
2.7%
T 2
 
2.7%
Other values (9) 10
13.5%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)92.9%
Missing21
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean72.859286
Minimum0
Maximum209.78
Zeros1
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-05-11T08:44:11.835833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.725
Q133
median51.32
Q386.9675
95-th percentile200.771
Maximum209.78
Range209.78
Interquartile range (IQR)53.9675

Descriptive statistics

Standard deviation64.779807
Coefficient of variation (CV)0.88910845
Kurtosis0.65501367
Mean72.859286
Median Absolute Deviation (MAD)30.455
Skewness1.2352336
Sum1020.03
Variance4196.4234
MonotonicityNot monotonic
2024-05-11T08:44:12.583359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
33.0 2
 
5.7%
81.59 1
 
2.9%
62.64 1
 
2.9%
16.5 1
 
2.9%
88.76 1
 
2.9%
66.0 1
 
2.9%
20.68 1
 
2.9%
39.35 1
 
2.9%
209.78 1
 
2.9%
195.92 1
 
2.9%
Other values (3) 3
 
8.6%
(Missing) 21
60.0%
ValueCountFrequency (%)
0.0 1
2.9%
16.5 1
2.9%
20.68 1
2.9%
33.0 2
5.7%
39.35 1
2.9%
40.0 1
2.9%
62.64 1
2.9%
66.0 1
2.9%
81.59 1
2.9%
88.76 1
2.9%
ValueCountFrequency (%)
209.78 1
2.9%
195.92 1
2.9%
132.81 1
2.9%
88.76 1
2.9%
81.59 1
2.9%
66.0 1
2.9%
62.64 1
2.9%
40.0 1
2.9%
39.35 1
2.9%
33.0 2
5.7%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
28 
0
3 
1
 
2
2
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.4
Min length1

Unique

Unique2 ?
Unique (%)5.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 28
80.0%
0 3
 
8.6%
1 2
 
5.7%
2 1
 
2.9%
5 1
 
2.9%

Length

2024-05-11T08:44:13.196227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:44:13.584883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
80.0%
0 3
 
8.6%
1 2
 
5.7%
2 1
 
2.9%
5 1
 
2.9%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
30 
0
 
3
1
 
2

Length

Max length4
Median length4
Mean length3.5714286
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> 30
85.7%
0 3
 
8.6%
1 2
 
5.7%

Length

2024-05-11T08:44:14.151866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:44:14.846072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
85.7%
0 3
 
8.6%
1 2
 
5.7%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing33
Missing (%)94.3%
Memory size412.0 B
2024-05-11T08:44:15.371472image/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%
2024-05-11T08:44:16.438265image/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 (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
32 
0
 
3

Length

Max length4
Median length4
Mean length3.7428571
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> 32
91.4%
0 3
 
8.6%

Length

2024-05-11T08:44:17.295419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:44:17.875090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
91.4%
0 3
 
8.6%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
32 
0
 
3

Length

Max length4
Median length4
Mean length3.7428571
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> 32
91.4%
0 3
 
8.6%

Length

2024-05-11T08:44:18.387285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:44:18.812088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
91.4%
0 3
 
8.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
32 
0
 
3

Length

Max length4
Median length4
Mean length3.7428571
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> 32
91.4%
0 3
 
8.6%

Length

2024-05-11T08:44:19.340909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:44:19.879268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
91.4%
0 3
 
8.6%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
32 
0
 
3

Length

Max length4
Median length4
Mean length3.7428571
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> 32
91.4%
0 3
 
8.6%

Length

2024-05-11T08:44:20.506102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:44:20.836034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
91.4%
0 3
 
8.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size412.0 B
<NA>
32 
0
 
3

Length

Max length4
Median length4
Mean length3.7428571
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> 32
91.4%
0 3
 
8.6%

Length

2024-05-11T08:44:21.242015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:44:21.714255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
91.4%
0 3
 
8.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing35
Missing (%)100.0%
Memory size447.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03070000CDFF324106199900000119990619<NA>3폐업3폐업20000101<NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 ***번지<NA><NA>아코이2011-01-25 13:20:19I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물제작업유통관련업<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>
13070000CDFF324106200100000120010420<NA>3폐업3폐업20081224<NA><NA><NA><NA><NA><NA>서울특별시 성북구 성북동 ***-**번지 (*층)서울특별시 성북구 성북로 ** (성북동,(*층))<NA>송강기획(주)2011-01-27 12:40:43I2018-08-31 23:59:59.0<NA>200267.609054454330.14022음반.음악영상물제작업유통관련업<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>
23070000CDFF324106200600000120060818<NA>3폐업3폐업20110809<NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동*가 ***-*번지서울특별시 성북구 아리랑로 ** (동선동*가)<NA>네트워크리더쉽코리아2011-08-10 10:41:23I2018-08-31 23:59:59.0<NA>201344.940085454811.140935음반.음악영상물제작업유통관련업<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>
33070000CDFF324106200900000220090314<NA>3폐업3폐업20110117<NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 **-**번지 ***호서울특별시 성북구 창경궁로 ***-* (삼선동*가,***호)<NA>(주)신붕민예2011-01-18 13:08:37I2018-08-31 23:59:59.0<NA>200379.779214453923.218172음반.음악영상물제작업유통관련업<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>
43070000CDFF324106201000000120100112<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 **번지 현명빌딩서울특별시 성북구 삼선교로 **, ***호 (삼선동*가, 현명빌딩)2861GM엔터테인먼트2018-07-15 15:26:58I2018-08-31 23:59:59.0<NA>200824.924527454025.315015음반.음악영상물제작업유통관련업<NA><NA>음반, CD, DVD, Tape81.59<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>
53070000CDFF324106201000000220100809<NA>1영업/정상13영업중<NA><NA><NA><NA>937-5237<NA><NA>서울특별시 성북구 정릉동 ***-**번지 ***호서울특별시 성북구 보국문로*길 ** (정릉동,***호)<NA>RSZ(라이징 선 오브 지온)2010-08-09 13:56:10I2018-08-31 23:59:59.0<NA>201055.53058455881.033753음반.음악영상물제작업유통관련업<NA><NA>음악cd,공연영상물(dvd),연극,영화영상물(dvd)등<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>
63070000CDFF324106201100000120040823<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동*가 ***-* 세연온마음의원서울특별시 성북구 동소문로 ***-*, 세연온마음의원 지층 (동선동*가)2829(주)노만엔터테인먼트2020-07-30 14:47:41U2020-08-01 02:40:00.0<NA>201567.010601454672.308045음반.음악영상물제작업유통관련업<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>
73070000CDFF324106201200000220120207<NA>1영업/정상13영업중<NA><NA><NA><NA>02)912-3085<NA><NA>서울특별시 성북구 종암동 *-**번지서울특별시 성북구 종암로**길 **, *층 (종암동)2800문미디어2012-02-07 17:27:46I2018-08-31 23:59:59.0<NA>203270.932667455046.089659음반.음악영상물제작업유통관련업3<NA>음반(CD,DVD,TAPE)62.6421<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83070000CDFF324106201200000320121107<NA>1영업/정상13영업중<NA><NA><NA><NA>743-5904<NA><NA>서울특별시 성북구 삼선동*가 **번지서울특별시 성북구 삼선교로**길 **, *층 (삼선동*가)2863(주)일광폴라리스2012-11-07 13:30:59I2018-08-31 23:59:59.0<NA>201097.689503454065.066322음반.음악영상물제작업유통관련업<NA><NA>CD, DVD, 뮤직비디오, 음원 등33.0<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>
93070000CDFF32410620120000042012-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 ***-***번지서울특별시 성북구 아리랑로*나길 *-** (돈암동)2827국악성가연구소2023-06-08 17:20:47D2022-12-05 23:00:00.0<NA>201328.272182455153.381915<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
253070000CDFF324106202100000520120816<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2293-1161<NA><NA>서울특별시 성북구 하월곡동 **-*** 성북웅진베어스빌서울특별시 성북구 종암로 ***, ***호 (하월곡동, 성북웅진베어스빌)2739(주)쓰리나인종합미디어2021-11-03 09:17:50I2021-11-04 00:22:45.0<NA>202778.746276455751.390286음반.음악영상물제작업유통관련업0<NA><NA>40.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
263070000CDFF324106202200000120220125<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 *** 길음역금호어울림센터힐서울특별시 성북구 동소문로**길 **, ***동 ****호 (돈암동, 길음역금호어울림센터힐)2807체리 힐(Cherry Hill)2022-01-25 09:18:35I2022-01-27 00:22:39.0<NA>201947.993534455351.606943음반.음악영상물제작업유통관련업0<NA>영상, 음반 등0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
273070000CDFF324106202200000220220823<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2088-8944<NA><NA>서울특별시 성북구 성북동 **-**서울특별시 성북구 선잠로*마길 * (성북동)2837에스비디25(sbd25)2022-08-23 10:57:44I2021-12-07 22:05:00.0<NA>199477.183717454999.488055<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>
283070000CDFF324106202200000320220923<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 ** (주)일광공영사옥서울특별시 성북구 삼선교로**길 ** (주)일광공영사옥 ***호 (삼선동*가)2863주식회사 더웨이브스2022-09-23 16:53:09I2021-12-08 22:05:00.0<NA>201097.689503454065.066322<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>
293070000CDFF32410620220000042022-12-29<NA>5제외/삭제/전출15전출2023-04-13<NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 ****-* 서울성북 미디어문화마루서울특별시 성북구 길음로*길 **, 서울성북 미디어문화마루 *동 지*층 *호 (길음동)2721러프페이지2023-04-13 13:22:02U2022-12-03 23:05:00.0<NA>201886.666806455714.252149<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>
303070000CDFF324106202200000520221226<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 ****-* 서울성북 미디어문화마루서울특별시 성북구 길음로*길 **, 서울성북 미디어문화마루 *동 B*층 *호 (길음동)2721러프페이지2023-01-06 17:59:41I2022-12-01 00:08:00.0<NA>201886.666806455714.252149<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>
313070000CDFF324106202300000220121218<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7826-9872<NA><NA>서울특별시 성북구 보문동*가 * 엠투서울특별시 성북구 보문로 **, 엠투 *층 (보문동*가)2872(주)아츠로2023-01-27 13:31:40I2022-11-30 22:09:00.0<NA>201697.816727453460.990303<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>
323070000CDFF32410620230000032012-11-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 ***-*** 예수고난회 신학교서울특별시 성북구 아리랑로*나길 *-**, 예수고난회 신학교 (돈암동)2827국악성가연구소2023-06-08 17:19:57I2022-12-05 23:00:00.0<NA>201317.560081455154.433921<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>
333070000CDFF32410620230000042018-03-27<NA>3폐업3폐업2023-08-10<NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동*가 **서울특별시 성북구 아리랑로 **, 지하*층 (동선동*가)2829스튜디오 더 박스2023-08-11 10:58:44I2022-12-07 23:03:00.0<NA>201369.810057454712.383266<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>
343070000CDFF32410620240000012024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동*가 **서울특별시 성북구 동소문로**길 **, 지하 *층 (동선동*가)2849주식회사 공간엔터2024-02-05 17:05:38I2023-12-02 00:07:00.0<NA>201621.375661454149.011691<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>