Overview

Dataset statistics

Number of variables56
Number of observations46
Missing cells1270
Missing cells (%)49.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.0 KiB
Average record size in memory488.9 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
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-17814/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 has constant value ""Constant
인허가취소일자 is highly imbalanced (84.9%)Imbalance
총층수 is highly imbalanced (74.2%)Imbalance
지상층수 is highly imbalanced (74.2%)Imbalance
지하층수 is highly imbalanced (74.3%)Imbalance
통로너비 is highly imbalanced (74.2%)Imbalance
조명시설조도 is highly imbalanced (74.2%)Imbalance
노래방실수 is highly imbalanced (74.2%)Imbalance
청소년실수 is highly imbalanced (74.2%)Imbalance
총게임기수 is highly imbalanced (74.2%)Imbalance
폐업일자 has 31 (67.4%) missing valuesMissing
휴업시작일자 has 46 (100.0%) missing valuesMissing
휴업종료일자 has 46 (100.0%) missing valuesMissing
재개업일자 has 46 (100.0%) missing valuesMissing
전화번호 has 37 (80.4%) missing valuesMissing
소재지면적 has 46 (100.0%) missing valuesMissing
소재지우편번호 has 43 (93.5%) missing valuesMissing
도로명우편번호 has 3 (6.5%) missing valuesMissing
업태구분명 has 46 (100.0%) missing valuesMissing
주변환경명 has 46 (100.0%) missing valuesMissing
제작취급품목내용 has 23 (50.0%) missing valuesMissing
시설면적 has 34 (73.9%) missing valuesMissing
건물용도명 has 42 (91.3%) missing valuesMissing
비상계단여부 has 46 (100.0%) missing valuesMissing
비상구여부 has 46 (100.0%) missing valuesMissing
자동환기여부 has 46 (100.0%) missing valuesMissing
청소년실여부 has 46 (100.0%) missing valuesMissing
특수조명여부 has 46 (100.0%) missing valuesMissing
방음시설여부 has 46 (100.0%) missing valuesMissing
비디오재생기명 has 46 (100.0%) missing valuesMissing
조명시설유무 has 46 (100.0%) missing valuesMissing
음향시설여부 has 46 (100.0%) missing valuesMissing
편의시설여부 has 46 (100.0%) missing valuesMissing
소방시설여부 has 46 (100.0%) missing valuesMissing
기존게임업외업종명 has 46 (100.0%) missing valuesMissing
제공게임물명 has 46 (100.0%) missing valuesMissing
공연장형태구분명 has 46 (100.0%) missing valuesMissing
품목명 has 46 (100.0%) missing valuesMissing
최초등록시점 has 46 (100.0%) missing valuesMissing
지역구분명 has 45 (97.8%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 (2.2%) zerosZeros

Reproduction

Analysis started2024-05-11 06:30:40.565625
Analysis finished2024-05-11 06:30:41.866164
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
3120000
46 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 46
100.0%

Length

2024-05-11T15:30:41.957369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:42.115038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 46
100.0%

관리번호
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:30:42.418736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters920
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

Unique46 ?
Unique (%)100.0%

Sample

1st rowCDFF3241062007000001
2nd rowCDFF3241062007000002
3rd rowCDFF3241062008000001
4th rowCDFF3241062010000001
5th rowCDFF3241062011000001
ValueCountFrequency (%)
cdff3241062007000001 1
 
2.2%
cdff3241062022000001 1
 
2.2%
cdff3241062024000001 1
 
2.2%
cdff3241062020000003 1
 
2.2%
cdff3241062020000004 1
 
2.2%
cdff3241062020000005 1
 
2.2%
cdff3241062021000001 1
 
2.2%
cdff3241062021000002 1
 
2.2%
cdff3241062021000003 1
 
2.2%
cdff3241062021000004 1
 
2.2%
Other values (36) 36
78.3%
2024-05-11T15:30:42.917779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 331
36.0%
2 136
14.8%
F 92
 
10.0%
1 89
 
9.7%
3 60
 
6.5%
4 56
 
6.1%
6 49
 
5.3%
C 46
 
5.0%
D 46
 
5.0%
5 7
 
0.8%
Other values (3) 8
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 736
80.0%
Uppercase Letter 184
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 331
45.0%
2 136
18.5%
1 89
 
12.1%
3 60
 
8.2%
4 56
 
7.6%
6 49
 
6.7%
5 7
 
1.0%
7 3
 
0.4%
8 3
 
0.4%
9 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 736
80.0%
Latin 184
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 331
45.0%
2 136
18.5%
1 89
 
12.1%
3 60
 
8.2%
4 56
 
7.6%
6 49
 
6.7%
5 7
 
1.0%
7 3
 
0.4%
8 3
 
0.4%
9 2
 
0.3%
Latin
ValueCountFrequency (%)
F 92
50.0%
C 46
25.0%
D 46
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 331
36.0%
2 136
14.8%
F 92
 
10.0%
1 89
 
9.7%
3 60
 
6.5%
4 56
 
6.1%
6 49
 
5.3%
C 46
 
5.0%
D 46
 
5.0%
5 7
 
0.8%
Other values (3) 8
 
0.9%

인허가일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum1991-06-15 00:00:00
Maximum2024-01-24 00:00:00
2024-05-11T15:30:43.229319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:43.475261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
45 
20190807
 
1

Length

Max length8
Median length4
Mean length4.0869565
Min length4

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 45
97.8%
20190807 1
 
2.2%

Length

2024-05-11T15:30:43.799511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:43.970373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
97.8%
20190807 1
 
2.2%

영업상태코드
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
1
30 
3
14 
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 30
65.2%
3 14
30.4%
4 1
 
2.2%
5 1
 
2.2%

Length

2024-05-11T15:30:44.130247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:44.274465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 30
65.2%
3 14
30.4%
4 1
 
2.2%
5 1
 
2.2%

영업상태명
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업/정상
30 
폐업
14 
취소/말소/만료/정지/중지
 
1
제외/삭제/전출
 
1

Length

Max length14
Median length5
Mean length4.3478261
Min length2

Unique

Unique2 ?
Unique (%)4.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 30
65.2%
폐업 14
30.4%
취소/말소/만료/정지/중지 1
 
2.2%
제외/삭제/전출 1
 
2.2%

Length

2024-05-11T15:30:44.483154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:44.682213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 30
65.2%
폐업 14
30.4%
취소/말소/만료/정지/중지 1
 
2.2%
제외/삭제/전출 1
 
2.2%

상세영업상태코드
Categorical

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
13
30 
3
13 
34
 
1
31
 
1
15
 
1

Length

Max length2
Median length2
Mean length1.7173913
Min length1

Unique

Unique3 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
13 30
65.2%
3 13
28.3%
34 1
 
2.2%
31 1
 
2.2%
15 1
 
2.2%

Length

2024-05-11T15:30:44.876023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:45.386080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 30
65.2%
3 13
28.3%
34 1
 
2.2%
31 1
 
2.2%
15 1
 
2.2%

상세영업상태명
Categorical

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
영업중
30 
폐업
13 
영업장폐쇄
 
1
등록취소
 
1
전출
 
1

Length

Max length5
Median length3
Mean length2.7608696
Min length2

Unique

Unique3 ?
Unique (%)6.5%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 30
65.2%
폐업 13
28.3%
영업장폐쇄 1
 
2.2%
등록취소 1
 
2.2%
전출 1
 
2.2%

Length

2024-05-11T15:30:45.589304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:45.780875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 30
65.2%
폐업 13
28.3%
영업장폐쇄 1
 
2.2%
등록취소 1
 
2.2%
전출 1
 
2.2%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing31
Missing (%)67.4%
Memory size500.0 B
Minimum2011-07-08 00:00:00
Maximum2024-04-29 00:00:00
2024-05-11T15:30:45.986840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:46.177887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing37
Missing (%)80.4%
Memory size500.0 B
2024-05-11T15:30:46.435827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.333333
Min length8

Characters and Unicode

Total characters93
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st row02-723-2204
2nd row3142-2592
3rd row333-8742
4th row02-2263-3233
5th row392-9070
ValueCountFrequency (%)
02-723-2204 1
11.1%
3142-2592 1
11.1%
333-8742 1
11.1%
02-2263-3233 1
11.1%
392-9070 1
11.1%
02-302-8428 1
11.1%
02-336-0620 1
11.1%
02-517-6668 1
11.1%
02-6956-0577 1
11.1%
2024-05-11T15:30:46.968998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 20
21.5%
- 15
16.1%
0 13
14.0%
3 13
14.0%
6 8
 
8.6%
7 6
 
6.5%
4 4
 
4.3%
5 4
 
4.3%
9 4
 
4.3%
8 4
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78
83.9%
Dash Punctuation 15
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20
25.6%
0 13
16.7%
3 13
16.7%
6 8
 
10.3%
7 6
 
7.7%
4 4
 
5.1%
5 4
 
5.1%
9 4
 
5.1%
8 4
 
5.1%
1 2
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 93
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 20
21.5%
- 15
16.1%
0 13
14.0%
3 13
14.0%
6 8
 
8.6%
7 6
 
6.5%
4 4
 
4.3%
5 4
 
4.3%
9 4
 
4.3%
8 4
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 93
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 20
21.5%
- 15
16.1%
0 13
14.0%
3 13
14.0%
6 8
 
8.6%
7 6
 
6.5%
4 4
 
4.3%
5 4
 
4.3%
9 4
 
4.3%
8 4
 
4.3%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소재지우편번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing43
Missing (%)93.5%
Memory size500.0 B
2024-05-11T15:30:47.184038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.3333333
Min length6

Characters and Unicode

Total characters19
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)100.0%

Sample

1st row120810
2nd row120-818
3rd row120848
ValueCountFrequency (%)
120810 1
33.3%
120-818 1
33.3%
120848 1
33.3%
2024-05-11T15:30:47.618887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 5
26.3%
8 5
26.3%
0 4
21.1%
2 3
15.8%
- 1
 
5.3%
4 1
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18
94.7%
Dash Punctuation 1
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5
27.8%
8 5
27.8%
0 4
22.2%
2 3
16.7%
4 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 5
26.3%
8 5
26.3%
0 4
21.1%
2 3
15.8%
- 1
 
5.3%
4 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 5
26.3%
8 5
26.3%
0 4
21.1%
2 3
15.8%
- 1
 
5.3%
4 1
 
5.3%

지번주소
Text

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:30:47.974271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38.5
Mean length26.826087
Min length20

Characters and Unicode

Total characters1234
Distinct characters82
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

Unique40 ?
Unique (%)87.0%

Sample

1st row서울특별시 서대문구 북가좌동 **-**번지 (지층***호)
2nd row서울특별시 서대문구 북아현동 ***-**
3rd row서울특별시 서대문구 홍은동 ***-**번지 신원지벤스타 ***동 ***호
4th row서울특별시 서대문구 북가좌동 ***번지 삼성래미안e편한세상아파트 ***동 ***호
5th row서울특별시 서대문구 합동 ***번지
ValueCountFrequency (%)
서울특별시 46
20.3%
서대문구 46
20.3%
26
11.5%
번지 20
8.8%
연희동 11
 
4.8%
호 10
 
4.4%
창천동 6
 
2.6%
층 6
 
2.6%
홍은동 6
 
2.6%
북가좌동 5
 
2.2%
Other values (32) 45
19.8%
2024-05-11T15:30:48.574125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 257
20.8%
203
16.5%
서 93
 
7.5%
동 51
 
4.1%
대 51
 
4.1%
시 47
 
3.8%
특 46
 
3.7%
별 46
 
3.7%
문 46
 
3.7%
구 46
 
3.7%
Other values (72) 348
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 722
58.5%
Other Punctuation 259
 
21.0%
Space Separator 203
 
16.5%
Dash Punctuation 40
 
3.2%
Uppercase Letter 5
 
0.4%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 93
12.9%
동 51
 
7.1%
대 51
 
7.1%
시 47
 
6.5%
특 46
 
6.4%
별 46
 
6.4%
문 46
 
6.4%
구 46
 
6.4%
울 46
 
6.4%
지 26
 
3.6%
Other values (60) 224
31.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
20.0%
K 1
20.0%
A 1
20.0%
G 1
20.0%
S 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 257
99.2%
, 2
 
0.8%
Space Separator
ValueCountFrequency (%)
203
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 722
58.5%
Common 506
41.0%
Latin 6
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 93
12.9%
동 51
 
7.1%
대 51
 
7.1%
시 47
 
6.5%
특 46
 
6.4%
별 46
 
6.4%
문 46
 
6.4%
구 46
 
6.4%
울 46
 
6.4%
지 26
 
3.6%
Other values (60) 224
31.0%
Common
ValueCountFrequency (%)
* 257
50.8%
203
40.1%
- 40
 
7.9%
) 2
 
0.4%
( 2
 
0.4%
, 2
 
0.4%
Latin
ValueCountFrequency (%)
L 1
16.7%
K 1
16.7%
e 1
16.7%
A 1
16.7%
G 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 722
58.5%
ASCII 512
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 257
50.2%
203
39.6%
- 40
 
7.8%
) 2
 
0.4%
( 2
 
0.4%
, 2
 
0.4%
L 1
 
0.2%
K 1
 
0.2%
e 1
 
0.2%
A 1
 
0.2%
Other values (2) 2
 
0.4%
Hangul
ValueCountFrequency (%)
서 93
12.9%
동 51
 
7.1%
대 51
 
7.1%
시 47
 
6.5%
특 46
 
6.4%
별 46
 
6.4%
문 46
 
6.4%
구 46
 
6.4%
울 46
 
6.4%
지 26
 
3.6%
Other values (60) 224
31.0%

도로명주소
Text

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:30:48.984190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length34.021739
Min length23

Characters and Unicode

Total characters1565
Distinct characters115
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

Unique40 ?
Unique (%)87.0%

Sample

1st row서울특별시 서대문구 거북골로**길 **-* (북가좌동,(지층***호))
2nd row서울특별시 서대문구 북아현로**가길 ** (북아현동)
3rd row서울특별시 서대문구 명지길 **, ***동 ***호 (홍은동,신원지벤스타)
4th row서울특별시 서대문구 수색로 ***, ***동 ***호 (북가좌동, 삼성래미안e편한세상아파트)
5th row서울특별시 서대문구 서소문로 ** (합동)
ValueCountFrequency (%)
서울특별시 46
15.3%
46
15.3%
서대문구 46
15.3%
호 24
 
8.0%
층 18
 
6.0%
연희동 11
 
3.7%
창천동 6
 
2.0%
홍은동 5
 
1.7%
지층 5
 
1.7%
북가좌동 4
 
1.3%
Other values (67) 90
29.9%
2024-05-11T15:30:49.709634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
257
16.4%
* 247
 
15.8%
서 94
 
6.0%
대 53
 
3.4%
동 51
 
3.3%
, 48
 
3.1%
) 47
 
3.0%
( 47
 
3.0%
울 47
 
3.0%
시 47
 
3.0%
Other values (105) 627
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 904
57.8%
Other Punctuation 295
 
18.8%
Space Separator 257
 
16.4%
Close Punctuation 47
 
3.0%
Open Punctuation 47
 
3.0%
Dash Punctuation 8
 
0.5%
Uppercase Letter 6
 
0.4%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 94
 
10.4%
대 53
 
5.9%
동 51
 
5.6%
울 47
 
5.2%
시 47
 
5.2%
문 47
 
5.2%
구 46
 
5.1%
특 46
 
5.1%
별 46
 
5.1%
로 42
 
4.6%
Other values (93) 385
42.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
L 1
16.7%
K 1
16.7%
G 1
16.7%
S 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 247
83.7%
, 48
 
16.3%
Space Separator
ValueCountFrequency (%)
257
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 904
57.8%
Common 654
41.8%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 94
 
10.4%
대 53
 
5.9%
동 51
 
5.6%
울 47
 
5.2%
시 47
 
5.2%
문 47
 
5.2%
구 46
 
5.1%
특 46
 
5.1%
별 46
 
5.1%
로 42
 
4.6%
Other values (93) 385
42.6%
Common
ValueCountFrequency (%)
257
39.3%
* 247
37.8%
, 48
 
7.3%
) 47
 
7.2%
( 47
 
7.2%
- 8
 
1.2%
Latin
ValueCountFrequency (%)
A 2
28.6%
L 1
14.3%
K 1
14.3%
G 1
14.3%
S 1
14.3%
e 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 904
57.8%
ASCII 661
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
257
38.9%
* 247
37.4%
, 48
 
7.3%
) 47
 
7.1%
( 47
 
7.1%
- 8
 
1.2%
A 2
 
0.3%
L 1
 
0.2%
K 1
 
0.2%
G 1
 
0.2%
Other values (2) 2
 
0.3%
Hangul
ValueCountFrequency (%)
서 94
 
10.4%
대 53
 
5.9%
동 51
 
5.6%
울 47
 
5.2%
시 47
 
5.2%
문 47
 
5.2%
구 46
 
5.1%
특 46
 
5.1%
별 46
 
5.1%
로 42
 
4.6%
Other values (93) 385
42.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)83.7%
Missing3
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean14572.93
Minimum3601
Maximum120807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:30:49.959997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3601
5-th percentile3623.5
Q13697.5
median3722
Q33773
95-th percentile120128.9
Maximum120807
Range117206
Interquartile range (IQR)75.5

Descriptive statistics

Standard deviation34306.437
Coefficient of variation (CV)2.3541207
Kurtosis6.748855
Mean14572.93
Median Absolute Deviation (MAD)40
Skewness2.9045977
Sum626636
Variance1.1769316 × 109
MonotonicityNot monotonic
2024-05-11T15:30:50.172756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3785 4
 
8.7%
3708 2
 
4.3%
3628 2
 
4.3%
3675 2
 
4.3%
3787 2
 
4.3%
120807 1
 
2.2%
3720 1
 
2.2%
3683 1
 
2.2%
3665 1
 
2.2%
3762 1
 
2.2%
Other values (26) 26
56.5%
(Missing) 3
 
6.5%
ValueCountFrequency (%)
3601 1
2.2%
3604 1
2.2%
3623 1
2.2%
3628 2
4.3%
3665 1
2.2%
3675 2
4.3%
3676 1
2.2%
3683 1
2.2%
3697 1
2.2%
3698 1
2.2%
ValueCountFrequency (%)
120807 1
 
2.2%
120725 1
 
2.2%
120132 1
 
2.2%
120101 1
 
2.2%
3787 2
4.3%
3785 4
8.7%
3780 1
 
2.2%
3766 1
 
2.2%
3762 1
 
2.2%
3757 1
 
2.2%

사업장명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2024-05-11T15:30:50.566605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length16
Mean length9.3913043
Min length2

Characters and Unicode

Total characters432
Distinct characters165
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 (%)100.0%

Sample

1st row연세미디어
2nd row전통타악연구소
3rd row이모션 인 모션
4th row수도음악사
5th rowRJS Communication
ValueCountFrequency (%)
주식회사 7
 
9.6%
매치박스 1
 
1.4%
와이비씨 1
 
1.4%
주)에이비제이컴퍼니 1
 
1.4%
label 1
 
1.4%
레이블(reverb 1
 
1.4%
리버브 1
 
1.4%
유한책임회사 1
 
1.4%
브이로드이엔앰코리아 1
 
1.4%
컴퍼니 1
 
1.4%
Other values (57) 57
78.1%
2024-05-11T15:30:51.263598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
6.2%
주 15
 
3.5%
이 13
 
3.0%
스 13
 
3.0%
) 12
 
2.8%
( 12
 
2.8%
사 12
 
2.8%
트 9
 
2.1%
리 8
 
1.9%
회 8
 
1.9%
Other values (155) 303
70.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 317
73.4%
Uppercase Letter 30
 
6.9%
Lowercase Letter 28
 
6.5%
Space Separator 27
 
6.2%
Close Punctuation 12
 
2.8%
Open Punctuation 12
 
2.8%
Other Punctuation 5
 
1.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 15
 
4.7%
이 13
 
4.1%
스 13
 
4.1%
사 12
 
3.8%
트 9
 
2.8%
리 8
 
2.5%
회 8
 
2.5%
인 7
 
2.2%
식 7
 
2.2%
퍼 6
 
1.9%
Other values (120) 219
69.1%
Lowercase Letter
ValueCountFrequency (%)
n 3
10.7%
c 3
10.7%
i 3
10.7%
e 3
10.7%
b 2
 
7.1%
u 2
 
7.1%
a 2
 
7.1%
m 2
 
7.1%
o 2
 
7.1%
l 1
 
3.6%
Other values (5) 5
17.9%
Uppercase Letter
ValueCountFrequency (%)
L 5
16.7%
R 5
16.7%
C 3
10.0%
O 2
 
6.7%
I 2
 
6.7%
D 2
 
6.7%
E 2
 
6.7%
J 2
 
6.7%
S 2
 
6.7%
T 1
 
3.3%
Other values (4) 4
13.3%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 317
73.4%
Latin 58
 
13.4%
Common 57
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 15
 
4.7%
이 13
 
4.1%
스 13
 
4.1%
사 12
 
3.8%
트 9
 
2.8%
리 8
 
2.5%
회 8
 
2.5%
인 7
 
2.2%
식 7
 
2.2%
퍼 6
 
1.9%
Other values (120) 219
69.1%
Latin
ValueCountFrequency (%)
L 5
 
8.6%
R 5
 
8.6%
n 3
 
5.2%
c 3
 
5.2%
i 3
 
5.2%
C 3
 
5.2%
e 3
 
5.2%
O 2
 
3.4%
I 2
 
3.4%
D 2
 
3.4%
Other values (19) 27
46.6%
Common
ValueCountFrequency (%)
27
47.4%
) 12
21.1%
( 12
21.1%
. 4
 
7.0%
, 1
 
1.8%
1 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 317
73.4%
ASCII 115
 
26.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
23.5%
) 12
 
10.4%
( 12
 
10.4%
L 5
 
4.3%
R 5
 
4.3%
. 4
 
3.5%
n 3
 
2.6%
c 3
 
2.6%
i 3
 
2.6%
C 3
 
2.6%
Other values (25) 38
33.0%
Hangul
ValueCountFrequency (%)
주 15
 
4.7%
이 13
 
4.1%
스 13
 
4.1%
사 12
 
3.8%
트 9
 
2.8%
리 8
 
2.5%
회 8
 
2.5%
인 7
 
2.2%
식 7
 
2.2%
퍼 6
 
1.9%
Other values (120) 219
69.1%

최종수정일자
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2008-05-21 10:59:41
Maximum2024-04-30 17:26:48
2024-05-11T15:30:51.538545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:51.827008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
I
34 
U
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 34
73.9%
U 12
 
26.1%

Length

2024-05-11T15:30:52.061798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:52.212253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 34
73.9%
u 12
 
26.1%

데이터갱신일자
Date

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-05 00:02:00
2024-05-11T15:30:52.396108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T15:30:52.666359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

좌표정보(X)
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194223.71
Minimum191993.36
Maximum196892.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:30:52.919801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191993.36
5-th percentile192218.48
Q1193627.28
median193970.44
Q3195104.61
95-th percentile196532.72
Maximum196892.09
Range4898.7294
Interquartile range (IQR)1477.3299

Descriptive statistics

Standard deviation1265.0479
Coefficient of variation (CV)0.0065133546
Kurtosis-0.42040574
Mean194223.71
Median Absolute Deviation (MAD)857.42604
Skewness0.33840824
Sum8934290.7
Variance1600346.2
MonotonicityNot monotonic
2024-05-11T15:30:53.195075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
193712.476983727 3
 
6.5%
194033.03782295 2
 
4.3%
192899.251651304 1
 
2.2%
194010.358568812 1
 
2.2%
194370.029925057 1
 
2.2%
193770.840542885 1
 
2.2%
193709.59390137 1
 
2.2%
193787.375023863 1
 
2.2%
196140.313986297 1
 
2.2%
196143.875838071 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
191993.362939917 1
2.2%
192179.469546538 1
2.2%
192210.825792415 1
2.2%
192241.446894582 1
2.2%
192265.732493169 1
2.2%
192874.514454351 1
2.2%
192899.251651304 1
2.2%
193127.439150594 1
2.2%
193310.567638385 1
2.2%
193338.154696533 1
2.2%
ValueCountFrequency (%)
196892.09236853 1
2.2%
196794.572693354 1
2.2%
196662.335160742 1
2.2%
196143.875838071 1
2.2%
196140.313986297 1
2.2%
195962.031615722 1
2.2%
195935.137088572 1
2.2%
195522.60437547 1
2.2%
195280.710219904 1
2.2%
195197.872766556 1
2.2%

좌표정보(Y)
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452189.4
Minimum450514.65
Maximum455526.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:30:53.422925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450514.65
5-th percentile450592.17
Q1451173.18
median451858.21
Q3453010.22
95-th percentile454410.56
Maximum455526.47
Range5011.817
Interquartile range (IQR)1837.0331

Descriptive statistics

Standard deviation1312.9722
Coefficient of variation (CV)0.002903589
Kurtosis-0.18860943
Mean452189.4
Median Absolute Deviation (MAD)960.32264
Skewness0.66891449
Sum20800712
Variance1723895.9
MonotonicityNot monotonic
2024-05-11T15:30:53.686759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
450637.010875398 3
 
6.5%
450514.653917441 2
 
4.3%
451752.38877576 1
 
2.2%
451756.700490842 1
 
2.2%
452392.257529295 1
 
2.2%
451718.051253925 1
 
2.2%
450665.215102694 1
 
2.2%
451524.16495862 1
 
2.2%
451355.119989652 1
 
2.2%
450654.038830365 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
450514.653917441 2
4.3%
450577.222827177 1
 
2.2%
450637.010875398 3
6.5%
450654.038830365 1
 
2.2%
450665.215102694 1
 
2.2%
450666.510310035 1
 
2.2%
450948.915518467 1
 
2.2%
450999.900043141 1
 
2.2%
451170.766061692 1
 
2.2%
451180.441186072 1
 
2.2%
ValueCountFrequency (%)
455526.470899178 1
2.2%
455193.014698844 1
2.2%
454432.605441944 1
2.2%
454344.432517428 1
2.2%
454309.458387607 1
2.2%
453681.531642847 1
2.2%
453666.413730132 1
2.2%
453316.191014056 1
2.2%
453302.660259142 1
2.2%
453296.220981827 1
2.2%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
음반.음악영상물제작업
28 
<NA>
18 

Length

Max length11
Median length11
Mean length8.2608696
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 28
60.9%
<NA> 18
39.1%

Length

2024-05-11T15:30:53.933645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:54.111400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 28
60.9%
na 18
39.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
유통관련업
28 
<NA>
18 

Length

Max length5
Median length5
Mean length4.6086957
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 28
60.9%
<NA> 18
39.1%

Length

2024-05-11T15:30:54.289229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:54.430724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 28
60.9%
na 18
39.1%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T15:30:54.608746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:54.764684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

제작취급품목내용
Text

MISSING 

Distinct20
Distinct (%)87.0%
Missing23
Missing (%)50.0%
Memory size500.0 B
2024-05-11T15:30:54.987133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length9.0434783
Min length2

Characters and Unicode

Total characters208
Distinct characters41
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

Unique18 ?
Unique (%)78.3%

Sample

1st row음반,강의테이프
2nd row음원, 음반
3rd row음반(음원)제작
4th row대중음악영상
5th row영상물 음악음반cd제작업
ValueCountFrequency (%)
음반 9
20.5%
음악파일 3
 
6.8%
음반음악파일 2
 
4.5%
음원 2
 
4.5%
음악영상파일 2
 
4.5%
음악영상물 2
 
4.5%
영상물 2
 
4.5%
제작 2
 
4.5%
음반음악영상물 2
 
4.5%
유튜브 1
 
2.3%
Other values (17) 17
38.6%
2024-05-11T15:30:55.507302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 41
19.7%
21
10.1%
반 20
9.6%
악 17
 
8.2%
, 17
 
8.2%
영 11
 
5.3%
상 11
 
5.3%
일 8
 
3.8%
물 7
 
3.4%
파 7
 
3.4%
Other values (31) 48
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
78.4%
Space Separator 21
 
10.1%
Other Punctuation 18
 
8.7%
Uppercase Letter 2
 
1.0%
Lowercase Letter 2
 
1.0%
Close Punctuation 1
 
0.5%
Open Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 41
25.2%
반 20
12.3%
악 17
10.4%
영 11
 
6.7%
상 11
 
6.7%
일 8
 
4.9%
물 7
 
4.3%
파 7
 
4.3%
작 4
 
2.5%
제 4
 
2.5%
Other values (22) 33
20.2%
Other Punctuation
ValueCountFrequency (%)
, 17
94.4%
? 1
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
V 1
50.0%
M 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
d 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
78.4%
Common 41
 
19.7%
Latin 4
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 41
25.2%
반 20
12.3%
악 17
10.4%
영 11
 
6.7%
상 11
 
6.7%
일 8
 
4.9%
물 7
 
4.3%
파 7
 
4.3%
작 4
 
2.5%
제 4
 
2.5%
Other values (22) 33
20.2%
Common
ValueCountFrequency (%)
21
51.2%
, 17
41.5%
? 1
 
2.4%
) 1
 
2.4%
( 1
 
2.4%
Latin
ValueCountFrequency (%)
V 1
25.0%
M 1
25.0%
d 1
25.0%
c 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
78.4%
ASCII 45
 
21.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 41
25.2%
반 20
12.3%
악 17
10.4%
영 11
 
6.7%
상 11
 
6.7%
일 8
 
4.9%
물 7
 
4.3%
파 7
 
4.3%
작 4
 
2.5%
제 4
 
2.5%
Other values (22) 33
20.2%
ASCII
ValueCountFrequency (%)
21
46.7%
, 17
37.8%
V 1
 
2.2%
M 1
 
2.2%
? 1
 
2.2%
d 1
 
2.2%
c 1
 
2.2%
) 1
 
2.2%
( 1
 
2.2%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)100.0%
Missing34
Missing (%)73.9%
Infinite0
Infinite (%)0.0%
Mean19.1525
Minimum0
Maximum50
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size546.0 B
2024-05-11T15:30:55.703103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q12.9
median17.5
Q333.5
95-th percentile42.9325
Maximum50
Range50
Interquartile range (IQR)30.6

Descriptive statistics

Standard deviation16.704343
Coefficient of variation (CV)0.87217559
Kurtosis-0.98868903
Mean19.1525
Median Absolute Deviation (MAD)15.2
Skewness0.45087121
Sum229.83
Variance279.03508
MonotonicityNot monotonic
2024-05-11T15:30:55.893416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
37.15 1
 
2.2%
50.0 1
 
2.2%
15.0 1
 
2.2%
35.0 1
 
2.2%
1.0 1
 
2.2%
23.18 1
 
2.2%
33.0 1
 
2.2%
9.9 1
 
2.2%
2.6 1
 
2.2%
20.0 1
 
2.2%
Other values (2) 2
 
4.3%
(Missing) 34
73.9%
ValueCountFrequency (%)
0.0 1
2.2%
1.0 1
2.2%
2.6 1
2.2%
3.0 1
2.2%
9.9 1
2.2%
15.0 1
2.2%
20.0 1
2.2%
23.18 1
2.2%
33.0 1
2.2%
35.0 1
2.2%
ValueCountFrequency (%)
50.0 1
2.2%
37.15 1
2.2%
35.0 1
2.2%
33.0 1
2.2%
23.18 1
2.2%
20.0 1
2.2%
15.0 1
2.2%
9.9 1
2.2%
3.0 1
2.2%
2.6 1
2.2%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T15:30:56.108745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:56.301231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
43 
0
 
2
1
 
1

Length

Max length4
Median length4
Mean length3.8043478
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
93.5%
0 2
 
4.3%
1 1
 
2.2%

Length

2024-05-11T15:30:56.475450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:56.651152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
93.5%
0 2
 
4.3%
1 1
 
2.2%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing42
Missing (%)91.3%
Memory size500.0 B
2024-05-11T15:30:56.819786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.75
Min length5

Characters and Unicode

Total characters23
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)25.0%

Sample

1st row근린생활시설
2nd row다세대주택
3rd row근린생활시설
4th row근린생활시설
ValueCountFrequency (%)
근린생활시설 3
75.0%
다세대주택 1
 
25.0%
2024-05-11T15:30:57.274870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 3
13.0%
린 3
13.0%
생 3
13.0%
활 3
13.0%
시 3
13.0%
설 3
13.0%
다 1
 
4.3%
세 1
 
4.3%
대 1
 
4.3%
주 1
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 3
13.0%
린 3
13.0%
생 3
13.0%
활 3
13.0%
시 3
13.0%
설 3
13.0%
다 1
 
4.3%
세 1
 
4.3%
대 1
 
4.3%
주 1
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 3
13.0%
린 3
13.0%
생 3
13.0%
활 3
13.0%
시 3
13.0%
설 3
13.0%
다 1
 
4.3%
세 1
 
4.3%
대 1
 
4.3%
주 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 3
13.0%
린 3
13.0%
생 3
13.0%
활 3
13.0%
시 3
13.0%
설 3
13.0%
다 1
 
4.3%
세 1
 
4.3%
대 1
 
4.3%
주 1
 
4.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T15:30:57.490438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:57.706263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T15:30:57.885060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:58.047394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T15:30:58.218518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:58.382741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T15:30:58.569299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:58.738350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
<NA>
44 
0
 
2

Length

Max length4
Median length4
Mean length3.8695652
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> 44
95.7%
0 2
 
4.3%

Length

2024-05-11T15:30:58.921443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T15:30:59.088805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
95.7%
0 2
 
4.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)100.0%
Memory size546.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing45
Missing (%)97.8%
Memory size500.0 B
2024-05-11T15:30:59.246175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row일반주거지역
ValueCountFrequency (%)
일반주거지역 1
100.0%
2024-05-11T15:31:00.228925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1
16.7%
반 1
16.7%
주 1
16.7%
거 1
16.7%
지 1
16.7%
역 1
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03120000CDFF324106200700000120070330<NA>3폐업3폐업20110708<NA><NA><NA><NA><NA>120810서울특별시 서대문구 북가좌동 **-**번지 (지층***호)서울특별시 서대문구 거북골로**길 **-* (북가좌동,(지층***호))<NA>연세미디어2011-07-08 17:20:14I2018-08-31 23:59:59.0<NA>192241.446895452821.644575음반.음악영상물제작업유통관련업<NA><NA>음반,강의테이프<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13120000CDFF32410620070000022007-07-20<NA>3폐업3폐업2023-10-27<NA><NA><NA><NA><NA>120-818서울특별시 서대문구 북아현동 ***-**서울특별시 서대문구 북아현로**가길 ** (북아현동)<NA>전통타악연구소2023-10-30 17:43:49U2022-11-01 00:01:00.0<NA>195935.137089451180.441186<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23120000CDFF324106200800000120080521<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120848서울특별시 서대문구 홍은동 ***-**번지 신원지벤스타 ***동 ***호서울특별시 서대문구 명지길 **, ***동 ***호 (홍은동,신원지벤스타)<NA>이모션 인 모션2008-05-21 10:59:41I2018-08-31 23:59:59.0<NA>193621.446233453200.237757음반.음악영상물제작업유통관련업<NA><NA>음원, 음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33120000CDFF324106201000000120100603<NA>3폐업3폐업20150722<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 ***번지 삼성래미안e편한세상아파트 ***동 ***호서울특별시 서대문구 수색로 ***, ***동 ***호 (북가좌동, 삼성래미안e편한세상아파트)120725수도음악사2015-07-23 09:05:37I2018-08-31 23:59:59.0<NA>191993.36294452741.30218음반.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>
43120000CDFF324106201100000120111216<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 합동 ***번지서울특별시 서대문구 서소문로 ** (합동)3741RJS Communication2011-12-16 14:15:16I2018-08-31 23:59:59.0<NA>196892.092369450948.915518음반.음악영상물제작업유통관련업<NA><NA>음반(음원)제작37.15<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53120000CDFF32410620120000012012-02-02<NA>3폐업3폐업2023-02-13<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 ***-** *층서울특별시 서대문구 증가로**길 **, *층 (남가좌동)3665별빛노래2023-02-13 17:44:03U2022-12-01 23:05:00.0<NA>193310.567638453033.327122<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63120000CDFF324106201200000320120309<NA>3폐업3폐업20150623<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 ***-**번지 지층서울특별시 서대문구 응암로 ***, 지층 (북가좌동)120132코스모스노래기획2015-06-24 09:01:48I2018-08-31 23:59:59.0<NA>192265.732493453296.220982음반.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>
73120000CDFF324106201200000420121029<NA>3폐업3폐업20190108<NA><NA><NA>02-723-2204<NA><NA>서울특별시 서대문구 홍제동 ***-*번지서울특별시 서대문구 모래내로 *** (홍제동, 홍제그린빌 ****호)3729닥터나인2019-01-08 17:08:06U2019-01-10 02:40:00.0<NA>195161.384719453681.531643음반.음악영상물제작업유통관련업<NA><NA>대중음악영상<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83120000CDFF324106201200000520121130<NA>3폐업34영업장폐쇄20140905<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 ***-**번지 지층서울특별시 서대문구 증가로 *** (남가좌동, 지층)120807백련노래바2014-12-10 10:00:34I2018-08-31 23:59:59.0<NA>193127.439151452815.425317음반.음악영상물제작업유통관련업<NA><NA>영상물 음악음반cd제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93120000CDFF324106201300000120130116<NA>1영업/정상13영업중<NA><NA><NA><NA>3142-2592<NA><NA>서울특별시 서대문구 연희동 ***-**번지 우진빌딩 *층서울특별시 서대문구 연희맛로 **, *층 (연희동, 우진빌딩)3708(주)포레스트미디어2013-01-16 16:44:17I2018-08-31 23:59:59.0<NA>193663.262605451536.446012음반.음악영상물제작업유통관련업<NA><NA>음반?음악영상물<NA><NA><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
363120000CDFF324106202200000420220616<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 **-**서울특별시 서대문구 연희로 *** (연희동)3699(주)파익스퍼밀2022-06-16 17:42:09I2021-12-05 23:08:00.0<NA>194098.241327452127.853124<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373120000CDFF324106202200000520220720<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 대현동 ***-** 현대캠퍼빌서울특별시 서대문구 신촌역로 **, 현대캠퍼빌 ***호 (대현동)3780어절씨구 반지하 블루스2022-07-20 13:17:36I2021-12-06 22:03:00.0<NA>194842.291233450666.51031<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383120000CDFF324106202200000620190703<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 ***-* 시온쉐르빌서울특별시 서대문구 가좌로 ***, 시온쉐르빌 A동 ***호 (홍은동)3675(주)하이블레코드 (h1BLE RECORDS Inc.)2022-09-13 14:30:55U2021-12-08 23:05:00.0<NA>193394.01767453316.191014<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393120000CDFF32410620230000012023-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 *-***서울특별시 서대문구 포방터길 ***-* (홍은동)3601새벽숨의 예술인들2023-03-28 18:22:18I2022-12-02 21:00:00.0<NA>195522.604375455526.470899<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
403120000CDFF32410620230000022023-09-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북아현동 ***-* 서일빌딩 *층 ***호서울특별시 서대문구 북아현로 **, 서일빌딩 *층 ***호 (북아현동)3762아하하 아트컴퍼니2023-09-04 16:57:30I2022-12-09 00:06:00.0<NA>195962.031616451170.766062<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
413120000CDFF32410620230000032022-08-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 ***-** 더세영 ***호서울특별시 서대문구 통일로**길 **, 더세영 *층 ***호 (홍제동)3628주식회사 코엑트2023-09-07 14:57:46I2022-12-09 00:09:00.0<NA>195066.701635454309.458388<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423120000CDFF32410620230000042023-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-517-6668<NA><NA>서울특별시 서대문구 홍제동 ***-** 유진상가, 유진아파트,공유캠퍼스 ***호서울특별시 서대문구 통일로 ***, 유진상가, 유진아파트,공유캠퍼스 ***호 (홍제동)3628주식회사 아울리(AULLRI.CO.,LTD.)2023-10-24 12:04:22I2022-10-30 22:06:00.0<NA>194850.361025454344.432517<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433120000CDFF32410620230000052023-10-25<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 ***-* 보광빌딩 ***호서울특별시 서대문구 거북골로 *-**, 보광빌딩 *층 ***호 (홍은동)3675크리에이터J2023-10-25 13:31:40I2022-10-30 22:07:00.0<NA>193338.154697453302.660259<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443120000CDFF32410620240000012024-01-24<NA>3폐업3폐업2024-04-29<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 **-*** 지하층 ***호서울특별시 서대문구 거북골로**나길 **-**, 지하층 ***호 (북가좌동)3683노이지무드2024-04-30 17:26:48U2023-12-05 00:02:00.0<NA>192179.469547452940.890562<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453120000CDFF32410620240000022023-02-03<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6956-0577<NA><NA>서울특별시 서대문구 연희동 ***-** 현빌딩 *층서울특별시 서대문구 연희로 **-**, 현빌딩 *층 (연희동)3708주식회사 이고그룹2024-04-22 12:46:48U2023-12-03 22:04:00.0<NA>193700.718013451535.237246<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>