Overview

Dataset statistics

Number of variables56
Number of observations50
Missing cells1320
Missing cells (%)47.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.0 KiB
Average record size in memory491.6 B

Variable types

Categorical18
Text6
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-17199/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (85.9%)Imbalance
휴업종료일자 is highly imbalanced (85.9%)Imbalance
인허가취소일자 has 50 (100.0%) missing valuesMissing
폐업일자 has 40 (80.0%) missing valuesMissing
재개업일자 has 50 (100.0%) missing valuesMissing
전화번호 has 42 (84.0%) missing valuesMissing
소재지면적 has 50 (100.0%) missing valuesMissing
소재지우편번호 has 50 (100.0%) missing valuesMissing
업태구분명 has 50 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.0%) missing valuesMissing
좌표정보(Y) has 1 (2.0%) missing valuesMissing
주변환경명 has 50 (100.0%) missing valuesMissing
제작취급품목내용 has 14 (28.0%) missing valuesMissing
시설면적 has 22 (44.0%) missing valuesMissing
건물용도명 has 50 (100.0%) missing valuesMissing
비상계단여부 has 50 (100.0%) missing valuesMissing
비상구여부 has 50 (100.0%) missing valuesMissing
자동환기여부 has 50 (100.0%) missing valuesMissing
청소년실여부 has 50 (100.0%) missing valuesMissing
특수조명여부 has 50 (100.0%) missing valuesMissing
방음시설여부 has 50 (100.0%) missing valuesMissing
비디오재생기명 has 50 (100.0%) missing valuesMissing
조명시설유무 has 50 (100.0%) missing valuesMissing
음향시설여부 has 50 (100.0%) missing valuesMissing
편의시설여부 has 50 (100.0%) missing valuesMissing
소방시설여부 has 50 (100.0%) missing valuesMissing
기존게임업외업종명 has 50 (100.0%) missing valuesMissing
제공게임물명 has 50 (100.0%) missing valuesMissing
공연장형태구분명 has 50 (100.0%) missing valuesMissing
품목명 has 50 (100.0%) missing valuesMissing
최초등록시점 has 50 (100.0%) missing valuesMissing
지역구분명 has 50 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 5 (10.0%) zerosZeros

Reproduction

Analysis started2024-04-06 12:24:42.295947
Analysis finished2024-04-06 12:24:43.557048
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
3070000
50 

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 50
100.0%

Length

2024-04-06T21:24:43.690029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:24:43.890126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 50
100.0%

관리번호
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T21:24:44.294170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1000
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

Unique50 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000002
3rd rowCDFF3241092015000003
4th rowCDFF3241092015000004
5th rowCDFF3241092015000005
ValueCountFrequency (%)
cdff3241092015000001 1
 
2.0%
cdff3241092021000004 1
 
2.0%
cdff3241092023000004 1
 
2.0%
cdff3241092019000009 1
 
2.0%
cdff3241092019000011 1
 
2.0%
cdff3241092020000001 1
 
2.0%
cdff3241092020000004 1
 
2.0%
cdff3241092020000005 1
 
2.0%
cdff3241092020000006 1
 
2.0%
cdff3241092021000001 1
 
2.0%
Other values (40) 40
80.0%
2024-04-06T21:24:45.064175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 350
35.0%
2 132
 
13.2%
1 101
 
10.1%
F 100
 
10.0%
3 62
 
6.2%
9 62
 
6.2%
4 58
 
5.8%
C 50
 
5.0%
D 50
 
5.0%
5 18
 
1.8%
Other values (3) 17
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 800
80.0%
Uppercase Letter 200
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 350
43.8%
2 132
 
16.5%
1 101
 
12.6%
3 62
 
7.8%
9 62
 
7.8%
4 58
 
7.2%
5 18
 
2.2%
7 7
 
0.9%
8 6
 
0.8%
6 4
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 100
50.0%
C 50
25.0%
D 50
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 800
80.0%
Latin 200
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 350
43.8%
2 132
 
16.5%
1 101
 
12.6%
3 62
 
7.8%
9 62
 
7.8%
4 58
 
7.2%
5 18
 
2.2%
7 7
 
0.9%
8 6
 
0.8%
6 4
 
0.5%
Latin
ValueCountFrequency (%)
F 100
50.0%
C 50
25.0%
D 50
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 350
35.0%
2 132
 
13.2%
1 101
 
10.1%
F 100
 
10.0%
3 62
 
6.2%
9 62
 
6.2%
4 58
 
5.8%
C 50
 
5.0%
D 50
 
5.0%
5 18
 
1.8%
Other values (3) 17
 
1.7%

인허가일자
Date

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2015-03-30 00:00:00
Maximum2023-12-20 00:00:00
2024-04-06T21:24:45.324255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:24:45.576000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
1
39 
3
7 
5
 
3
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 39
78.0%
3 7
 
14.0%
5 3
 
6.0%
2 1
 
2.0%

Length

2024-04-06T21:24:45.875839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:24:46.064620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 39
78.0%
3 7
 
14.0%
5 3
 
6.0%
2 1
 
2.0%

영업상태명
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업/정상
39 
폐업
7 
제외/삭제/전출
 
3
휴업
 
1

Length

Max length8
Median length5
Mean length4.7
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 39
78.0%
폐업 7
 
14.0%
제외/삭제/전출 3
 
6.0%
휴업 1
 
2.0%

Length

2024-04-06T21:24:46.279485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:24:46.540122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 39
78.0%
폐업 7
 
14.0%
제외/삭제/전출 3
 
6.0%
휴업 1
 
2.0%

상세영업상태코드
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
13
39 
3
7 
15
 
3
2
 
1

Length

Max length2
Median length2
Mean length1.84
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 39
78.0%
3 7
 
14.0%
15 3
 
6.0%
2 1
 
2.0%

Length

2024-04-06T21:24:46.824152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:24:47.068439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 39
78.0%
3 7
 
14.0%
15 3
 
6.0%
2 1
 
2.0%

상세영업상태명
Categorical

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
영업중
39 
폐업
7 
전출
 
3
휴업
 
1

Length

Max length3
Median length3
Mean length2.78
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 39
78.0%
폐업 7
 
14.0%
전출 3
 
6.0%
휴업 1
 
2.0%

Length

2024-04-06T21:24:47.312623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:24:47.499397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 39
78.0%
폐업 7
 
14.0%
전출 3
 
6.0%
휴업 1
 
2.0%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing40
Missing (%)80.0%
Memory size532.0 B
Minimum2016-02-15 00:00:00
Maximum2023-06-08 00:00:00
2024-04-06T21:24:47.671320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:24:47.932163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
20190222
 
1

Length

Max length8
Median length4
Mean length4.08
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
20190222 1
 
2.0%

Length

2024-04-06T21:24:48.190595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:24:48.420421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
20190222 1
 
2.0%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
49 
20240222
 
1

Length

Max length8
Median length4
Mean length4.08
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
98.0%
20240222 1
 
2.0%

Length

2024-04-06T21:24:48.655180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:24:49.372165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
98.0%
20240222 1
 
2.0%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

전화번호
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing42
Missing (%)84.0%
Memory size532.0 B
2024-04-06T21:24:49.736715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.375
Min length11

Characters and Unicode

Total characters91
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

Unique8 ?
Unique (%)100.0%

Sample

1st row070-8161-0963
2nd row02 927 1703
3rd row02-737-6613
4th row02 737 6613
5th row02 919 9640
ValueCountFrequency (%)
02 5
27.8%
070-8161-0963 1
 
5.6%
927 1
 
5.6%
1703 1
 
5.6%
02-737-6613 1
 
5.6%
737 1
 
5.6%
6613 1
 
5.6%
919 1
 
5.6%
9640 1
 
5.6%
900 1
 
5.6%
Other values (4) 4
22.2%
2024-04-06T21:24:50.290435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 17
18.7%
2 10
11.0%
10
11.0%
7 8
8.8%
6 8
8.8%
9 8
8.8%
1 7
7.7%
3 7
7.7%
- 6
 
6.6%
8 5
 
5.5%
Other values (2) 5
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75
82.4%
Space Separator 10
 
11.0%
Dash Punctuation 6
 
6.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17
22.7%
2 10
13.3%
7 8
10.7%
6 8
10.7%
9 8
10.7%
1 7
9.3%
3 7
9.3%
8 5
 
6.7%
4 3
 
4.0%
5 2
 
2.7%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 17
18.7%
2 10
11.0%
10
11.0%
7 8
8.8%
6 8
8.8%
9 8
8.8%
1 7
7.7%
3 7
7.7%
- 6
 
6.6%
8 5
 
5.5%
Other values (2) 5
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 17
18.7%
2 10
11.0%
10
11.0%
7 8
8.8%
6 8
8.8%
9 8
8.8%
1 7
7.7%
3 7
7.7%
- 6
 
6.6%
8 5
 
5.5%
Other values (2) 5
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

지번주소
Text

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T21:24:50.710652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33.5
Mean length26.48
Min length18

Characters and Unicode

Total characters1324
Distinct characters120
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)92.0%

Sample

1st row서울특별시 성북구 길음동 ****번지 ***동 ****호
2nd row서울특별시 성북구 성북동 **-*번지
3rd row서울특별시 성북구 동소문동*가 ***-*번지 한강팰리스 ***동 ***호
4th row서울특별시 성북구 동소문동*가 ***번지 ***동 ****호
5th row서울특별시 성북구 정릉동 ****번지 ***동 ***호
ValueCountFrequency (%)
서울특별시 50
19.8%
성북구 50
19.8%
29
11.5%
번지 20
 
7.9%
호 13
 
5.1%
정릉동 8
 
3.2%
동 7
 
2.8%
보문동*가 6
 
2.4%
길음동 5
 
2.0%
성북동 5
 
2.0%
Other values (39) 60
23.7%
2024-04-06T21:24:51.399948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 248
18.7%
228
17.2%
동 66
 
5.0%
성 58
 
4.4%
북 57
 
4.3%
서 53
 
4.0%
구 50
 
3.8%
울 50
 
3.8%
시 50
 
3.8%
별 50
 
3.8%
Other values (110) 414
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 816
61.6%
Other Punctuation 248
 
18.7%
Space Separator 228
 
17.2%
Dash Punctuation 24
 
1.8%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 66
 
8.1%
성 58
 
7.1%
북 57
 
7.0%
서 53
 
6.5%
구 50
 
6.1%
울 50
 
6.1%
시 50
 
6.1%
별 50
 
6.1%
특 50
 
6.1%
가 23
 
2.8%
Other values (103) 309
37.9%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
7 1
50.0%
Other Punctuation
ValueCountFrequency (%)
* 248
100.0%
Space Separator
ValueCountFrequency (%)
228
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 814
61.5%
Common 508
38.4%
Han 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 66
 
8.1%
성 58
 
7.1%
북 57
 
7.0%
서 53
 
6.5%
구 50
 
6.1%
울 50
 
6.1%
시 50
 
6.1%
별 50
 
6.1%
특 50
 
6.1%
가 23
 
2.8%
Other values (101) 307
37.7%
Common
ValueCountFrequency (%)
* 248
48.8%
228
44.9%
- 24
 
4.7%
( 3
 
0.6%
) 3
 
0.6%
5 1
 
0.2%
7 1
 
0.2%
Han
ValueCountFrequency (%)
東 1
50.0%
元 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 814
61.5%
ASCII 508
38.4%
CJK 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 248
48.8%
228
44.9%
- 24
 
4.7%
( 3
 
0.6%
) 3
 
0.6%
5 1
 
0.2%
7 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 66
 
8.1%
성 58
 
7.1%
북 57
 
7.0%
서 53
 
6.5%
구 50
 
6.1%
울 50
 
6.1%
시 50
 
6.1%
별 50
 
6.1%
특 50
 
6.1%
가 23
 
2.8%
Other values (101) 307
37.7%
CJK
ValueCountFrequency (%)
東 1
50.0%
元 1
50.0%

도로명주소
Text

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T21:24:51.856229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length39.5
Mean length36.48
Min length23

Characters and Unicode

Total characters1824
Distinct characters125
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)92.0%

Sample

1st row서울특별시 성북구 길음로 ***, ***동 ****호 (길음동, 길음뉴타운)
2nd row서울특별시 성북구 선잠로*길 * (성북동)
3rd row서울특별시 성북구 동소문로**길 **, ***동 ***호 (동소문동*가)
4th row서울특별시 성북구 아리랑로*길 ** (동소문동*가)
5th row서울특별시 성북구 보국문로 ***, ***동 ***호 (정릉동)
ValueCountFrequency (%)
서울특별시 50
14.7%
성북구 50
14.7%
49
14.4%
호 27
 
7.9%
층 15
 
4.4%
동 11
 
3.2%
정릉동 8
 
2.4%
보문동*가 6
 
1.8%
삼선동*가 5
 
1.5%
성북동 5
 
1.5%
Other values (66) 114
33.5%
2024-04-06T21:24:52.895981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 337
18.5%
290
 
15.9%
동 77
 
4.2%
성 62
 
3.4%
북 61
 
3.3%
, 57
 
3.1%
서 55
 
3.0%
( 53
 
2.9%
) 53
 
2.9%
시 50
 
2.7%
Other values (115) 729
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1019
55.9%
Other Punctuation 394
 
21.6%
Space Separator 290
 
15.9%
Open Punctuation 53
 
2.9%
Close Punctuation 53
 
2.9%
Dash Punctuation 11
 
0.6%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 77
 
7.6%
성 62
 
6.1%
북 61
 
6.0%
서 55
 
5.4%
시 50
 
4.9%
특 50
 
4.9%
울 50
 
4.9%
구 50
 
4.9%
로 50
 
4.9%
별 50
 
4.9%
Other values (105) 464
45.5%
Decimal Number
ValueCountFrequency (%)
9 1
25.0%
1 1
25.0%
4 1
25.0%
5 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 337
85.5%
, 57
 
14.5%
Space Separator
ValueCountFrequency (%)
290
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1017
55.8%
Common 805
44.1%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 77
 
7.6%
성 62
 
6.1%
북 61
 
6.0%
서 55
 
5.4%
시 50
 
4.9%
특 50
 
4.9%
울 50
 
4.9%
구 50
 
4.9%
로 50
 
4.9%
별 50
 
4.9%
Other values (103) 462
45.4%
Common
ValueCountFrequency (%)
* 337
41.9%
290
36.0%
, 57
 
7.1%
( 53
 
6.6%
) 53
 
6.6%
- 11
 
1.4%
9 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
Han
ValueCountFrequency (%)
東 1
50.0%
元 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1017
55.8%
ASCII 805
44.1%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 337
41.9%
290
36.0%
, 57
 
7.1%
( 53
 
6.6%
) 53
 
6.6%
- 11
 
1.4%
9 1
 
0.1%
1 1
 
0.1%
4 1
 
0.1%
5 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 77
 
7.6%
성 62
 
6.1%
북 61
 
6.0%
서 55
 
5.4%
시 50
 
4.9%
특 50
 
4.9%
울 50
 
4.9%
구 50
 
4.9%
로 50
 
4.9%
별 50
 
4.9%
Other values (103) 462
45.4%
CJK
ValueCountFrequency (%)
東 1
50.0%
元 1
50.0%

도로명우편번호
Real number (ℝ)

Distinct35
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5471.94
Minimum2704
Maximum136043
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:24:53.210011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2704
5-th percentile2712.45
Q12750
median2829.5
Q32861.25
95-th percentile2874.1
Maximum136043
Range133339
Interquartile range (IQR)111.25

Descriptive statistics

Standard deviation18842.475
Coefficient of variation (CV)3.4434725
Kurtosis49.998973
Mean5471.94
Median Absolute Deviation (MAD)42.5
Skewness7.070961
Sum273597
Variance3.5503887 × 108
MonotonicityNot monotonic
2024-04-06T21:24:53.504141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
2872 6
 
12.0%
2863 3
 
6.0%
2714 2
 
4.0%
2829 2
 
4.0%
2836 2
 
4.0%
2717 2
 
4.0%
2803 2
 
4.0%
2712 2
 
4.0%
2832 2
 
4.0%
2830 2
 
4.0%
Other values (25) 25
50.0%
ValueCountFrequency (%)
2704 1
2.0%
2712 2
4.0%
2713 1
2.0%
2714 2
4.0%
2715 1
2.0%
2717 2
4.0%
2720 1
2.0%
2724 1
2.0%
2734 1
2.0%
2739 1
2.0%
ValueCountFrequency (%)
136043 1
 
2.0%
2880 1
 
2.0%
2875 1
 
2.0%
2873 1
 
2.0%
2872 6
12.0%
2863 3
6.0%
2856 1
 
2.0%
2849 1
 
2.0%
2841 1
 
2.0%
2840 1
 
2.0%

사업장명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-06T21:24:53.944293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length16
Mean length10.46
Min length4

Characters and Unicode

Total characters523
Distinct characters154
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

Unique50 ?
Unique (%)100.0%

Sample

1st row주식회사 프로덕션이황
2nd row(주)기억속의 매미
3rd row캐스팅브랜드
4th row조인스타(joinstar)
5th row클래프 컴퍼니
ValueCountFrequency (%)
주식회사 12
 
14.1%
엔터테인먼트 6
 
7.1%
미디어 2
 
2.4%
주 2
 
2.4%
에이전시 2
 
2.4%
뉴런뮤직 2
 
2.4%
사자레코드 1
 
1.2%
뷰티 1
 
1.2%
32 1
 
1.2%
32(agency 1
 
1.2%
Other values (55) 55
64.7%
2024-04-06T21:24:54.625567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
6.7%
주 27
 
5.2%
) 22
 
4.2%
( 22
 
4.2%
이 19
 
3.6%
인 15
 
2.9%
엔 15
 
2.9%
터 15
 
2.9%
사 13
 
2.5%
스 12
 
2.3%
Other values (144) 328
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 387
74.0%
Space Separator 35
 
6.7%
Uppercase Letter 35
 
6.7%
Close Punctuation 22
 
4.2%
Open Punctuation 22
 
4.2%
Lowercase Letter 17
 
3.3%
Decimal Number 5
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
7.0%
이 19
 
4.9%
인 15
 
3.9%
엔 15
 
3.9%
터 15
 
3.9%
사 13
 
3.4%
스 12
 
3.1%
식 12
 
3.1%
회 12
 
3.1%
트 11
 
2.8%
Other values (114) 236
61.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
11.8%
n 2
11.8%
a 2
11.8%
i 2
11.8%
y 1
 
5.9%
g 1
 
5.9%
c 1
 
5.9%
d 1
 
5.9%
s 1
 
5.9%
t 1
 
5.9%
Other values (3) 3
17.6%
Uppercase Letter
ValueCountFrequency (%)
E 9
25.7%
N 6
17.1%
T 5
14.3%
M 4
11.4%
O 2
 
5.7%
S 2
 
5.7%
R 2
 
5.7%
A 2
 
5.7%
D 1
 
2.9%
V 1
 
2.9%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
3 2
40.0%
7 1
20.0%
Space Separator
ValueCountFrequency (%)
35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 387
74.0%
Common 84
 
16.1%
Latin 52
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
7.0%
이 19
 
4.9%
인 15
 
3.9%
엔 15
 
3.9%
터 15
 
3.9%
사 13
 
3.4%
스 12
 
3.1%
식 12
 
3.1%
회 12
 
3.1%
트 11
 
2.8%
Other values (114) 236
61.0%
Latin
ValueCountFrequency (%)
E 9
17.3%
N 6
 
11.5%
T 5
 
9.6%
M 4
 
7.7%
O 2
 
3.8%
e 2
 
3.8%
S 2
 
3.8%
n 2
 
3.8%
a 2
 
3.8%
i 2
 
3.8%
Other values (14) 16
30.8%
Common
ValueCountFrequency (%)
35
41.7%
) 22
26.2%
( 22
26.2%
2 2
 
2.4%
3 2
 
2.4%
7 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 387
74.0%
ASCII 136
 
26.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
25.7%
) 22
16.2%
( 22
16.2%
E 9
 
6.6%
N 6
 
4.4%
T 5
 
3.7%
M 4
 
2.9%
O 2
 
1.5%
2 2
 
1.5%
3 2
 
1.5%
Other values (20) 27
19.9%
Hangul
ValueCountFrequency (%)
주 27
 
7.0%
이 19
 
4.9%
인 15
 
3.9%
엔 15
 
3.9%
터 15
 
3.9%
사 13
 
3.4%
스 12
 
3.1%
식 12
 
3.1%
회 12
 
3.1%
트 11
 
2.8%
Other values (114) 236
61.0%

최종수정일자
Date

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2015-06-08 20:07:10
Maximum2024-04-02 13:58:51
2024-04-06T21:24:54.873122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:24:55.152914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
I
27 
U
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 27
54.0%
U 23
46.0%

Length

2024-04-06T21:24:55.401973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:24:55.561354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 27
54.0%
u 23
46.0%

데이터갱신일자
Date

Distinct38
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-04-06T21:24:55.738566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:24:55.962504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)83.7%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean201532.83
Minimum199726.78
Maximum205585.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:24:56.240819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum199726.78
5-th percentile199977.57
Q1200841.73
median201356.04
Q3201755.59
95-th percentile204213.08
Maximum205585.78
Range5859.0014
Interquartile range (IQR)913.86041

Descriptive statistics

Standard deviation1235.1064
Coefficient of variation (CV)0.0061285617
Kurtosis3.6715657
Mean201532.83
Median Absolute Deviation (MAD)461.15245
Skewness1.6702377
Sum9875108.8
Variance1525487.8
MonotonicityNot monotonic
2024-04-06T21:24:56.506166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
201097.689502532 4
 
8.0%
201697.816727267 4
 
8.0%
201356.035379848 2
 
4.0%
200831.447005792 2
 
4.0%
201034.714612063 1
 
2.0%
201803.62404929 1
 
2.0%
200894.882925229 1
 
2.0%
201709.168639989 1
 
2.0%
202593.37574683 1
 
2.0%
201112.446388729 1
 
2.0%
Other values (31) 31
62.0%
ValueCountFrequency (%)
199726.776836947 1
2.0%
199884.047406571 1
2.0%
199953.522162094 1
2.0%
200013.635644541 1
2.0%
200036.101823647 1
2.0%
200262.076975411 1
2.0%
200377.982175924 1
2.0%
200681.801949368 1
2.0%
200800.114604498 1
2.0%
200820.261137542 1
2.0%
ValueCountFrequency (%)
205585.778224201 1
2.0%
205203.764624577 1
2.0%
205159.455380776 1
2.0%
202793.506510863 1
2.0%
202789.692329185 1
2.0%
202778.74627599 1
2.0%
202731.176192801 1
2.0%
202593.37574683 1
2.0%
202344.064677996 1
2.0%
201951.772187014 1
2.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)83.7%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean455000.45
Minimum453121.08
Maximum457203.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:24:56.765324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453121.08
5-th percentile453460.99
Q1454065.07
median454722.69
Q3455938.64
95-th percentile456980.56
Maximum457203.09
Range4082.011
Interquartile range (IQR)1873.5748

Descriptive statistics

Standard deviation1176.7677
Coefficient of variation (CV)0.0025863001
Kurtosis-1.1252998
Mean455000.45
Median Absolute Deviation (MAD)972.36318
Skewness0.24100081
Sum22295022
Variance1384782.2
MonotonicityNot monotonic
2024-04-06T21:24:57.064098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
454065.066322136 4
 
8.0%
453460.990302724 4
 
8.0%
456606.133621913 2
 
4.0%
456984.251357746 2
 
4.0%
455379.267305688 1
 
2.0%
454867.240191258 1
 
2.0%
456384.196604481 1
 
2.0%
453302.57979037 1
 
2.0%
455407.749060476 1
 
2.0%
453465.694044554 1
 
2.0%
Other values (31) 31
62.0%
ValueCountFrequency (%)
453121.082057575 1
 
2.0%
453302.57979037 1
 
2.0%
453460.990302724 4
8.0%
453465.694044554 1
 
2.0%
453550.457301075 1
 
2.0%
453679.069693053 1
 
2.0%
454049.551940162 1
 
2.0%
454065.066322136 4
8.0%
454131.050339188 1
 
2.0%
454145.894169522 1
 
2.0%
ValueCountFrequency (%)
457203.093015295 1
2.0%
456984.251357746 2
4.0%
456975.034276104 1
2.0%
456612.17075478 1
2.0%
456606.133621913 2
4.0%
456422.423562391 1
2.0%
456384.196604481 1
2.0%
456260.936040814 1
2.0%
456236.280690439 1
2.0%
456137.084315817 1
2.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
대중문화예술기획업
36 
<NA>
14 

Length

Max length9
Median length9
Mean length7.6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 36
72.0%
<NA> 14
 
28.0%

Length

2024-04-06T21:24:57.356345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:24:57.562812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 36
72.0%
na 14
 
28.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
유통관련업
36 
<NA>
14 

Length

Max length5
Median length5
Mean length4.72
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 36
72.0%
<NA> 14
 
28.0%

Length

2024-04-06T21:24:57.801041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:24:58.087575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 36
72.0%
na 14
 
28.0%

총층수
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0
6 

Length

Max length4
Median length4
Mean length3.64
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
88.0%
0 6
 
12.0%

Length

2024-04-06T21:24:58.290304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:24:58.489081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0 6
 
12.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

제작취급품목내용
Text

MISSING 

Distinct30
Distinct (%)83.3%
Missing14
Missing (%)28.0%
Memory size532.0 B
2024-04-06T21:24:58.903605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length25
Mean length16.027778
Min length4

Characters and Unicode

Total characters577
Distinct characters93
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

Unique27 ?
Unique (%)75.0%

Sample

1st row연예인 매니지먼트 / 엔터데인먼트
2nd row영화제작업,홍보및광고기획대행,매니지먼트
3rd row연예매니지먼트,아카데미사업, 광고에이전시, 홍보대행
4th row연예인섭외, 공연기획, 음반제작, 엔터테인먼트
5th row음반기획, 제작, 퍼블리싱, 엔터테인먼트, 매니지먼트
ValueCountFrequency (%)
매니지먼트 10
 
10.8%
엔터테인먼트 7
 
7.5%
음반제작 5
 
5.4%
및 3
 
3.2%
공연기획 3
 
3.2%
연예인 3
 
3.2%
연예인매니지먼트 2
 
2.2%
매니지먼트업 2
 
2.2%
모델에이전시 2
 
2.2%
기획 2
 
2.2%
Other values (52) 54
58.1%
2024-04-06T21:24:59.637249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57
 
9.9%
, 52
 
9.0%
트 34
 
5.9%
먼 30
 
5.2%
연 24
 
4.2%
매 23
 
4.0%
니 23
 
4.0%
지 21
 
3.6%
인 19
 
3.3%
예 15
 
2.6%
Other values (83) 279
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 466
80.8%
Space Separator 57
 
9.9%
Other Punctuation 54
 
9.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 34
 
7.3%
먼 30
 
6.4%
연 24
 
5.2%
매 23
 
4.9%
니 23
 
4.9%
지 21
 
4.5%
인 19
 
4.1%
예 15
 
3.2%
기 15
 
3.2%
업 15
 
3.2%
Other values (79) 247
53.0%
Other Punctuation
ValueCountFrequency (%)
, 52
96.3%
. 1
 
1.9%
/ 1
 
1.9%
Space Separator
ValueCountFrequency (%)
57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 466
80.8%
Common 111
 
19.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 34
 
7.3%
먼 30
 
6.4%
연 24
 
5.2%
매 23
 
4.9%
니 23
 
4.9%
지 21
 
4.5%
인 19
 
4.1%
예 15
 
3.2%
기 15
 
3.2%
업 15
 
3.2%
Other values (79) 247
53.0%
Common
ValueCountFrequency (%)
57
51.4%
, 52
46.8%
. 1
 
0.9%
/ 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 466
80.8%
ASCII 111
 
19.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57
51.4%
, 52
46.8%
. 1
 
0.9%
/ 1
 
0.9%
Hangul
ValueCountFrequency (%)
트 34
 
7.3%
먼 30
 
6.4%
연 24
 
5.2%
매 23
 
4.9%
니 23
 
4.9%
지 21
 
4.5%
인 19
 
4.1%
예 15
 
3.2%
기 15
 
3.2%
업 15
 
3.2%
Other values (79) 247
53.0%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)82.1%
Missing22
Missing (%)44.0%
Infinite0
Infinite (%)0.0%
Mean93.553929
Minimum0
Maximum398.77
Zeros5
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-06T21:24:59.895968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126.05
median64.36
Q3110.48
95-th percentile314.2965
Maximum398.77
Range398.77
Interquartile range (IQR)84.43

Descriptive statistics

Standard deviation101.07538
Coefficient of variation (CV)1.080397
Kurtosis2.8246401
Mean93.553929
Median Absolute Deviation (MAD)42.045
Skewness1.7370357
Sum2619.51
Variance10216.233
MonotonicityNot monotonic
2024-04-06T21:25:00.197301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 5
 
10.0%
149.44 2
 
4.0%
66.0 1
 
2.0%
73.97 1
 
2.0%
114.65 1
 
2.0%
109.09 1
 
2.0%
59.98 1
 
2.0%
398.77 1
 
2.0%
173.5 1
 
2.0%
314.79 1
 
2.0%
Other values (13) 13
26.0%
(Missing) 22
44.0%
ValueCountFrequency (%)
0.0 5
10.0%
16.5 1
 
2.0%
25.0 1
 
2.0%
26.4 1
 
2.0%
33.0 1
 
2.0%
34.8 1
 
2.0%
56.44 1
 
2.0%
59.98 1
 
2.0%
59.99 1
 
2.0%
62.72 1
 
2.0%
ValueCountFrequency (%)
398.77 1
2.0%
314.79 1
2.0%
313.38 1
2.0%
173.5 1
2.0%
149.44 2
4.0%
114.65 1
2.0%
109.09 1
2.0%
102.48 1
2.0%
100.0 1
2.0%
99.17 1
2.0%

지상층수
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0
6 

Length

Max length4
Median length4
Mean length3.64
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
88.0%
0 6
 
12.0%

Length

2024-04-06T21:25:00.527656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:25:00.772238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0 6
 
12.0%

지하층수
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0
6 

Length

Max length4
Median length4
Mean length3.64
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
88.0%
0 6
 
12.0%

Length

2024-04-06T21:25:01.118039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:25:01.532424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0 6
 
12.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

통로너비
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0
6 

Length

Max length4
Median length4
Mean length3.64
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
88.0%
0 6
 
12.0%

Length

2024-04-06T21:25:01.813945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:25:02.070909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0 6
 
12.0%

조명시설조도
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0
6 

Length

Max length4
Median length4
Mean length3.64
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
88.0%
0 6
 
12.0%

Length

2024-04-06T21:25:02.354508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:25:02.603848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0 6
 
12.0%

노래방실수
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0
6 

Length

Max length4
Median length4
Mean length3.64
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
88.0%
0 6
 
12.0%

Length

2024-04-06T21:25:02.853276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:25:03.136876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0 6
 
12.0%

청소년실수
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0
6 

Length

Max length4
Median length4
Mean length3.64
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
88.0%
0 6
 
12.0%

Length

2024-04-06T21:25:03.469018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:25:03.705752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0 6
 
12.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

총게임기수
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
0
6 

Length

Max length4
Median length4
Mean length3.64
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
88.0%
0 6
 
12.0%

Length

2024-04-06T21:25:03.947497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:25:04.169780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
0 6
 
12.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing50
Missing (%)100.0%
Memory size582.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03070000CDFF324109201500000120150507<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 ****번지 ***동 ****호서울특별시 성북구 길음로 ***, ***동 ****호 (길음동, 길음뉴타운)2714주식회사 프로덕션이황2015-11-23 10:56:17I2018-08-31 23:59:59.0<NA>201356.03538456606.133622대중문화예술기획업유통관련업<NA><NA>연예인 매니지먼트 / 엔터데인먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13070000CDFF324109201500000220150608<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 성북동 **-*번지서울특별시 성북구 선잠로*길 * (성북동)2836(주)기억속의 매미2015-06-08 20:07:10I2018-08-31 23:59:59.0<NA>199884.047407454722.688353대중문화예술기획업유통관련업<NA><NA>영화제작업,홍보및광고기획대행,매니지먼트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23070000CDFF324109201500000320150709<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8161-0963<NA><NA>서울특별시 성북구 동소문동*가 ***-*번지 한강팰리스 ***동 ***호서울특별시 성북구 동소문로**길 **, ***동 ***호 (동소문동*가)2830캐스팅브랜드2015-07-09 08:46:47I2018-08-31 23:59:59.0<NA>201318.651266454638.034764대중문화예술기획업유통관련업<NA><NA>연예매니지먼트,아카데미사업, 광고에이전시, 홍보대행26.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33070000CDFF324109201500000420150721<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동소문동*가 ***번지 ***동 ****호서울특별시 성북구 아리랑로*길 ** (동소문동*가)2830조인스타(joinstar)2015-07-21 09:31:46I2018-08-31 23:59:59.0<NA>201147.986623454890.756341대중문화예술기획업유통관련업<NA><NA>연예인섭외, 공연기획, 음반제작, 엔터테인먼트16.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43070000CDFF324109201500000520150722<NA>3폐업3폐업20160215<NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 ****번지 ***동 ***호서울특별시 성북구 보국문로 ***, ***동 ***호 (정릉동)2704클래프 컴퍼니2016-02-15 14:11:19I2018-08-31 23:59:59.0<NA>200013.635645457203.093015대중문화예술기획업유통관련업<NA><NA>음반기획, 제작, 퍼블리싱, 엔터테인먼트, 매니지먼트33.0<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>
53070000CDFF324109201500000820150805<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 **번지서울특별시 성북구 삼선교로**길 ** (삼선동*가)136043(주)일광폴라리스2019-04-16 09:17:16U2019-04-18 02:40:00.0<NA>201097.689503454065.066322대중문화예술기획업유통관련업<NA><NA>연예매니지먼트업,음반, 음악, 영상물제작99.17<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63070000CDFF324109201500000920150806<NA>1영업/정상13영업중<NA><NA><NA><NA>02 927 1703<NA><NA>서울특별시 성북구 동소문동*가 ***번지서울특별시 성북구 동소문로**가길 ** (동소문동*가)2832메르엔터테인먼트(MER ENTERTAINMENT)2016-04-19 19:19:38I2018-08-31 23:59:59.0<NA>200923.758962454327.357233대중문화예술기획업유통관련업<NA><NA>출판,영상, 방송통신및 정보서비스업, 협회 및 단체, 수리및 기타 개인서비스, 매니지먼트업, 배우탤런트34.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73070000CDFF324109201500001020150806<NA>3폐업3폐업20161018<NA><NA><NA>02-737-6613<NA><NA>서울특별시 성북구 보문동*가 *번지서울특별시 성북구 보문로 ** (보문동*가, 엠투)2872아우라꼬레아2016-10-18 19:01:50I2018-08-31 23:59:59.0<NA>201697.816727453460.990303대중문화예술기획업유통관련업<NA><NA>매니지먼트.공연기획, 공연예술,이벤트대행, 음반제작149.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83070000CDFF324109201500001220150806<NA>1영업/정상13영업중<NA><NA><NA><NA>02 737 6613<NA><NA>서울특별시 성북구 보문동*가 *서울특별시 성북구 보문로 ** (보문동*가, 엠투)2872(주) 아츠로2020-10-20 17:11:09U2020-10-22 02:40:00.0<NA>201697.816727453460.990303대중문화예술기획업유통관련업<NA><NA>매니지먼트, 공연기획, 배급, 제작, 이벤트, 공연예술, 음반제작, 수출업, 의료관광업149.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93070000CDFF324109201500001420150806<NA>1영업/정상13영업중<NA><NA><NA><NA>02 919 9640<NA><NA>서울특별시 성북구 정릉동 ***-*번지서울특별시 성북구 정릉로**가길 * (정릉동, 정릉그린빌라)2813엠코어 엔터테인먼트2015-08-06 10:46:49I2018-08-31 23:59:59.0<NA>200681.801949455695.051534대중문화예술기획업유통관련업<NA><NA>연예인대리, 공연기획, 매니지먼트, 작고313.38<NA><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
403070000CDFF324109202100000820170303<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 하월곡동 **-*** 성북웅진베어스빌서울특별시 성북구 종암로 ***, ***호 (하월곡동, 성북웅진베어스빌)2739(주)쓰리나인종합미디어2021-11-03 09:18:09I2021-11-04 00:22:45.0<NA>202778.746276455751.390286대중문화예술기획업유통관련업0<NA>엔터테인먼트0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
413070000CDFF324109202100000920211126<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 **-*서울특별시 성북구 동소문로**길 **, *층 ***호 (정릉동)2817(주)스타터 엔터테인먼트2021-11-26 16:32:46I2021-11-28 00:22:43.0<NA>201821.399681455394.067521대중문화예술기획업유통관련업0<NA>매니지먼트, 영상제작0.000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
423070000CDFF324109202200000120220819<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 ** (주)일광공영사옥서울특별시 성북구 삼선교로**길 ** (주)일광공영사옥 (삼선동*가)2863주식회사 폴라리스이엔엠2022-08-19 11:21:07I2021-12-07 22:01:00.0<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>
433070000CDFF324109202200000220221002<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 산 **-* 서경대학교 은주관 창업알앤디센터서울특별시 성북구 서경로 ***, 서경대학교 *층 (정릉동)2713주식회사 블랙버터뮤직2022-10-02 11:42:21I2021-10-31 00:04:00.0<NA>201027.728455456975.034276<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443070000CDFF324109202200000320150728<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 **** 정릉 이-편한세상서울특별시 성북구 솔샘로**길 **, ***동 ****호 (정릉동, 정릉 이-편한세상)2712위그헌터2022-11-21 09:16:11U2021-10-31 22:03:00.0<NA>200831.447006456984.251358<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453070000CDFF32410920230000012017-07-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 성북동 **-*서울특별시 성북구 성북로**길 **-**, *층 (성북동)2836클레어제이 크리에이티브2023-06-30 14:19:12U2022-12-07 00:02:00.0<NA>199953.522162454669.117332<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463070000CDFF32410920230000022023-08-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 ** (주)일광공영사옥서울특별시 성북구 삼선교로**길 ** (주)일광공영사옥 *층 (삼선동*가)2863주식회사 로암엔터테인먼트2023-08-09 18:01:28I2022-12-07 23:01:00.0<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>
473070000CDFF32410920230000032023-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 보문동*가 * 엠투서울특별시 성북구 보문로 **, 엠투 *층 (보문동*가)2872주식회사 대림인터내셔널2024-04-02 13:58:51U2023-12-04 00:04:00.0<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>
483070000CDFF32410920230000042023-11-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 성북동*가 **서울특별시 성북구 성북로*길 **, *층 (성북동*가)2880주식회사 스페이스픽처스2023-11-03 17:37:02I2022-11-01 00:05:00.0<NA>200262.076975454131.050339<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493070000CDFF32410920230000052023-12-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동*가 **-*서울특별시 성북구 안암로 ***, *층 (안암동*가)2856주식회사 제시안2023-12-20 17:50:26I2022-11-01 22:03:00.0<NA>202731.176193453679.069693<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>