Overview

Dataset statistics

Number of variables56
Number of observations66
Missing cells1833
Missing cells (%)49.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.5 KiB
Average record size in memory489.0 B

Variable types

Categorical17
Text8
DateTime4
Unsupported23
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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17790/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
지역구분명 has constant value ""Constant
소재지우편번호 is highly imbalanced (83.1%)Imbalance
총층수 is highly imbalanced (80.5%)Imbalance
지상층수 is highly imbalanced (79.0%)Imbalance
지하층수 is highly imbalanced (88.7%)Imbalance
통로너비 is highly imbalanced (88.7%)Imbalance
조명시설조도 is highly imbalanced (88.7%)Imbalance
노래방실수 is highly imbalanced (88.7%)Imbalance
청소년실수 is highly imbalanced (88.7%)Imbalance
총게임기수 is highly imbalanced (88.7%)Imbalance
인허가취소일자 has 66 (100.0%) missing valuesMissing
폐업일자 has 52 (78.8%) missing valuesMissing
휴업시작일자 has 66 (100.0%) missing valuesMissing
휴업종료일자 has 66 (100.0%) missing valuesMissing
재개업일자 has 66 (100.0%) missing valuesMissing
전화번호 has 38 (57.6%) missing valuesMissing
소재지면적 has 66 (100.0%) missing valuesMissing
도로명주소 has 1 (1.5%) missing valuesMissing
도로명우편번호 has 5 (7.6%) missing valuesMissing
업태구분명 has 66 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.5%) missing valuesMissing
좌표정보(Y) has 1 (1.5%) missing valuesMissing
주변환경명 has 66 (100.0%) missing valuesMissing
제작취급품목내용 has 38 (57.6%) missing valuesMissing
시설면적 has 49 (74.2%) missing valuesMissing
건물용도명 has 65 (98.5%) missing valuesMissing
비상계단여부 has 66 (100.0%) missing valuesMissing
비상구여부 has 66 (100.0%) missing valuesMissing
자동환기여부 has 66 (100.0%) missing valuesMissing
청소년실여부 has 66 (100.0%) missing valuesMissing
특수조명여부 has 66 (100.0%) missing valuesMissing
방음시설여부 has 66 (100.0%) missing valuesMissing
비디오재생기명 has 66 (100.0%) missing valuesMissing
조명시설유무 has 66 (100.0%) missing valuesMissing
음향시설여부 has 66 (100.0%) missing valuesMissing
편의시설여부 has 66 (100.0%) missing valuesMissing
소방시설여부 has 66 (100.0%) missing valuesMissing
기존게임업외업종명 has 66 (100.0%) missing valuesMissing
제공게임물명 has 66 (100.0%) missing valuesMissing
공연장형태구분명 has 66 (100.0%) missing valuesMissing
품목명 has 66 (100.0%) missing valuesMissing
최초등록시점 has 66 (100.0%) missing valuesMissing
지역구분명 has 65 (98.5%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 3 (4.5%) zerosZeros

Reproduction

Analysis started2024-05-11 04:06:04.939416
Analysis finished2024-05-11 04:06:06.493609
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
3130000
66 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 66
100.0%

Length

2024-05-11T04:06:06.709672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:07.004099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 66
100.0%

관리번호
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-11T04:06:07.532567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1320
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

Unique66 ?
Unique (%)100.0%

Sample

1st rowCDFF3241102000000001
2nd rowCDFF3241102001000001
3rd rowCDFF3241102005000001
4th rowCDFF3241102006000001
5th rowCDFF3241102007000001
ValueCountFrequency (%)
cdff3241102000000001 1
 
1.5%
cdff3241102020000011 1
 
1.5%
cdff3241102023000005 1
 
1.5%
cdff3241102019000002 1
 
1.5%
cdff3241102019000003 1
 
1.5%
cdff3241102019000004 1
 
1.5%
cdff3241102020000001 1
 
1.5%
cdff3241102020000002 1
 
1.5%
cdff3241102020000003 1
 
1.5%
cdff3241102020000004 1
 
1.5%
Other values (56) 56
84.8%
2024-05-11T04:06:08.637887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 484
36.7%
1 190
 
14.4%
2 179
 
13.6%
F 132
 
10.0%
3 85
 
6.4%
4 77
 
5.8%
C 66
 
5.0%
D 66
 
5.0%
6 10
 
0.8%
8 8
 
0.6%
Other values (3) 23
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1056
80.0%
Uppercase Letter 264
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 484
45.8%
1 190
 
18.0%
2 179
 
17.0%
3 85
 
8.0%
4 77
 
7.3%
6 10
 
0.9%
8 8
 
0.8%
5 8
 
0.8%
7 8
 
0.8%
9 7
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 132
50.0%
C 66
25.0%
D 66
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1056
80.0%
Latin 264
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 484
45.8%
1 190
 
18.0%
2 179
 
17.0%
3 85
 
8.0%
4 77
 
7.3%
6 10
 
0.9%
8 8
 
0.8%
5 8
 
0.8%
7 8
 
0.8%
9 7
 
0.7%
Latin
ValueCountFrequency (%)
F 132
50.0%
C 66
25.0%
D 66
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1320
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 484
36.7%
1 190
 
14.4%
2 179
 
13.6%
F 132
 
10.0%
3 85
 
6.4%
4 77
 
5.8%
C 66
 
5.0%
D 66
 
5.0%
6 10
 
0.8%
8 8
 
0.6%
Other values (3) 23
 
1.7%

인허가일자
Date

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2000-05-08 00:00:00
Maximum2024-04-05 00:00:00
2024-05-11T04:06:09.272018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:06:09.922211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
1
52 
3
9 
5
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 52
78.8%
3 9
 
13.6%
5 5
 
7.6%

Length

2024-05-11T04:06:10.501531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:11.011172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 52
78.8%
3 9
 
13.6%
5 5
 
7.6%

영업상태명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
영업/정상
52 
폐업
9 
제외/삭제/전출
 
5

Length

Max length8
Median length5
Mean length4.8181818
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 52
78.8%
폐업 9
 
13.6%
제외/삭제/전출 5
 
7.6%

Length

2024-05-11T04:06:11.550471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:12.029380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 52
78.8%
폐업 9
 
13.6%
제외/삭제/전출 5
 
7.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
13
52 
3
9 
15
 
5

Length

Max length2
Median length2
Mean length1.8636364
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 52
78.8%
3 9
 
13.6%
15 5
 
7.6%

Length

2024-05-11T04:06:12.679810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:13.140349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 52
78.8%
3 9
 
13.6%
15 5
 
7.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
영업중
52 
폐업
9 
전출
 
5

Length

Max length3
Median length3
Mean length2.7878788
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 52
78.8%
폐업 9
 
13.6%
전출 5
 
7.6%

Length

2024-05-11T04:06:13.677922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:14.097430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 52
78.8%
폐업 9
 
13.6%
전출 5
 
7.6%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)100.0%
Missing52
Missing (%)78.8%
Memory size660.0 B
Minimum2007-08-23 00:00:00
Maximum2024-03-28 00:00:00
2024-05-11T04:06:14.429533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:06:14.900176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

전화번호
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing38
Missing (%)57.6%
Memory size660.0 B
2024-05-11T04:06:15.437975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.928571
Min length8

Characters and Unicode

Total characters306
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

Unique26 ?
Unique (%)92.9%

Sample

1st row322-7111
2nd row6351-5930
3rd row2132-7000
4th row02-6401-3456
5th row02-2123-9360
ValueCountFrequency (%)
02-3490-9300 2
 
7.1%
02-706-3670 1
 
3.6%
322-7111 1
 
3.6%
070-8862-7686 1
 
3.6%
02-322-5778 1
 
3.6%
02-336-6774 1
 
3.6%
070-4304-6643 1
 
3.6%
02-569-6668 1
 
3.6%
023080651 1
 
3.6%
02-6085-9387 1
 
3.6%
Other values (17) 17
60.7%
2024-05-11T04:06:16.414832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55
18.0%
- 48
15.7%
2 39
12.7%
3 31
10.1%
6 28
9.2%
7 20
 
6.5%
1 19
 
6.2%
9 17
 
5.6%
5 17
 
5.6%
8 17
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 258
84.3%
Dash Punctuation 48
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
21.3%
2 39
15.1%
3 31
12.0%
6 28
10.9%
7 20
 
7.8%
1 19
 
7.4%
9 17
 
6.6%
5 17
 
6.6%
8 17
 
6.6%
4 15
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 306
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 55
18.0%
- 48
15.7%
2 39
12.7%
3 31
10.1%
6 28
9.2%
7 20
 
6.5%
1 19
 
6.2%
9 17
 
5.6%
5 17
 
5.6%
8 17
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 306
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55
18.0%
- 48
15.7%
2 39
12.7%
3 31
10.1%
6 28
9.2%
7 20
 
6.5%
1 19
 
6.2%
9 17
 
5.6%
5 17
 
5.6%
8 17
 
5.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
63 
150094
 
1
121807
 
1
121848
 
1

Length

Max length6
Median length4
Mean length4.0909091
Min length4

Unique

Unique3 ?
Unique (%)4.5%

Sample

1st row<NA>
2nd row<NA>
3rd row150094
4th row121807
5th row121848

Common Values

ValueCountFrequency (%)
<NA> 63
95.5%
150094 1
 
1.5%
121807 1
 
1.5%
121848 1
 
1.5%

Length

2024-05-11T04:06:16.931299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:17.328322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
95.5%
150094 1
 
1.5%
121807 1
 
1.5%
121848 1
 
1.5%

지번주소
Text

Distinct59
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-11T04:06:17.936043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length33
Mean length25.969697
Min length17

Characters and Unicode

Total characters1714
Distinct characters128
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)81.8%

Sample

1st row서울특별시 마포구 서교동 ***-**번지 *층
2nd row서울특별시 마포구 서교동 ***-**번지 예랑빌딩 *층
3rd row서울특별시 영등포구 문래동*가 **-*번지 태양프라자 *층
4th row서울특별시 마포구 노고산동 **-**번지 르메이에르 *차 ****호
5th row서울특별시 마포구 성산동 ***-*번지 두일빌딩*층 ***호
ValueCountFrequency (%)
서울특별시 66
20.0%
마포구 65
19.7%
번지 38
11.5%
28
8.5%
서교동 16
 
4.8%
상암동 16
 
4.8%
층 13
 
3.9%
호 10
 
3.0%
동교동 6
 
1.8%
합정동 5
 
1.5%
Other values (50) 67
20.3%
2024-05-11T04:06:19.147851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 336
19.6%
299
17.4%
서 85
 
5.0%
동 74
 
4.3%
구 70
 
4.1%
울 68
 
4.0%
시 67
 
3.9%
포 66
 
3.9%
별 66
 
3.9%
특 66
 
3.9%
Other values (118) 517
30.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1017
59.3%
Other Punctuation 337
 
19.7%
Space Separator 299
 
17.4%
Dash Punctuation 49
 
2.9%
Uppercase Letter 7
 
0.4%
Decimal Number 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 85
 
8.4%
동 74
 
7.3%
구 70
 
6.9%
울 68
 
6.7%
시 67
 
6.6%
포 66
 
6.5%
별 66
 
6.5%
특 66
 
6.5%
마 65
 
6.4%
지 43
 
4.2%
Other values (104) 347
34.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
28.6%
A 2
28.6%
B 1
14.3%
M 1
14.3%
K 1
14.3%
Decimal Number
ValueCountFrequency (%)
8 1
20.0%
3 1
20.0%
2 1
20.0%
4 1
20.0%
6 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 336
99.7%
, 1
 
0.3%
Space Separator
ValueCountFrequency (%)
299
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1017
59.3%
Common 690
40.3%
Latin 7
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 85
 
8.4%
동 74
 
7.3%
구 70
 
6.9%
울 68
 
6.7%
시 67
 
6.6%
포 66
 
6.5%
별 66
 
6.5%
특 66
 
6.5%
마 65
 
6.4%
지 43
 
4.2%
Other values (104) 347
34.1%
Common
ValueCountFrequency (%)
* 336
48.7%
299
43.3%
- 49
 
7.1%
8 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
, 1
 
0.1%
Latin
ValueCountFrequency (%)
S 2
28.6%
A 2
28.6%
B 1
14.3%
M 1
14.3%
K 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1017
59.3%
ASCII 697
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 336
48.2%
299
42.9%
- 49
 
7.0%
S 2
 
0.3%
A 2
 
0.3%
8 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
6 1
 
0.1%
Other values (4) 4
 
0.6%
Hangul
ValueCountFrequency (%)
서 85
 
8.4%
동 74
 
7.3%
구 70
 
6.9%
울 68
 
6.7%
시 67
 
6.6%
포 66
 
6.5%
별 66
 
6.5%
특 66
 
6.5%
마 65
 
6.4%
지 43
 
4.2%
Other values (104) 347
34.1%

도로명주소
Text

MISSING 

Distinct62
Distinct (%)95.4%
Missing1
Missing (%)1.5%
Memory size660.0 B
2024-05-11T04:06:19.743277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length33.523077
Min length23

Characters and Unicode

Total characters2179
Distinct characters145
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

Unique59 ?
Unique (%)90.8%

Sample

1st row서울특별시 마포구 와우산로**길 **, *층 (서교동)
2nd row서울특별시 마포구 잔다리로 ** (서교동,예랑빌딩 *층)
3rd row서울특별시 마포구 서강로 ***-*, ****호 (노고산동,르메이에르 *차)
4th row서울특별시 마포구 성미산로 **, ***호 (성산동,두일빌딩*층)
5th row서울특별시 마포구 월드컵로 **, 지하*층 (합정동)
ValueCountFrequency (%)
서울특별시 65
15.2%
마포구 65
15.2%
64
15.0%
층 33
 
7.7%
호 19
 
4.4%
상암동 16
 
3.7%
서교동 15
 
3.5%
월드컵북로 9
 
2.1%
동교동 6
 
1.4%
합정동 5
 
1.2%
Other values (89) 131
30.6%
2024-05-11T04:06:20.795414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
366
16.8%
* 316
 
14.5%
서 86
 
3.9%
동 80
 
3.7%
, 79
 
3.6%
마 69
 
3.2%
구 69
 
3.2%
울 68
 
3.1%
포 67
 
3.1%
로 66
 
3.0%
Other values (135) 913
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1268
58.2%
Other Punctuation 395
 
18.1%
Space Separator 366
 
16.8%
Close Punctuation 65
 
3.0%
Open Punctuation 65
 
3.0%
Dash Punctuation 11
 
0.5%
Uppercase Letter 5
 
0.2%
Decimal Number 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 86
 
6.8%
동 80
 
6.3%
마 69
 
5.4%
구 69
 
5.4%
울 68
 
5.4%
포 67
 
5.3%
로 66
 
5.2%
시 65
 
5.1%
별 65
 
5.1%
특 65
 
5.1%
Other values (123) 568
44.8%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
S 2
40.0%
B 1
20.0%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
1 1
25.0%
5 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 316
80.0%
, 79
 
20.0%
Space Separator
ValueCountFrequency (%)
366
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1268
58.2%
Common 906
41.6%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 86
 
6.8%
동 80
 
6.3%
마 69
 
5.4%
구 69
 
5.4%
울 68
 
5.4%
포 67
 
5.3%
로 66
 
5.2%
시 65
 
5.1%
별 65
 
5.1%
특 65
 
5.1%
Other values (123) 568
44.8%
Common
ValueCountFrequency (%)
366
40.4%
* 316
34.9%
, 79
 
8.7%
) 65
 
7.2%
( 65
 
7.2%
- 11
 
1.2%
4 2
 
0.2%
1 1
 
0.1%
5 1
 
0.1%
Latin
ValueCountFrequency (%)
A 2
40.0%
S 2
40.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1268
58.2%
ASCII 911
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
366
40.2%
* 316
34.7%
, 79
 
8.7%
) 65
 
7.1%
( 65
 
7.1%
- 11
 
1.2%
A 2
 
0.2%
S 2
 
0.2%
4 2
 
0.2%
1 1
 
0.1%
Other values (2) 2
 
0.2%
Hangul
ValueCountFrequency (%)
서 86
 
6.8%
동 80
 
6.3%
마 69
 
5.4%
구 69
 
5.4%
울 68
 
5.4%
포 67
 
5.3%
로 66
 
5.2%
시 65
 
5.1%
별 65
 
5.1%
특 65
 
5.1%
Other values (123) 568
44.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)67.2%
Missing5
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean4015.6557
Minimum3902
Maximum4168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:06:21.339361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3902
5-th percentile3923
Q13930
median4030
Q34056
95-th percentile4146
Maximum4168
Range266
Interquartile range (IQR)126

Descriptive statistics

Standard deviation70.595062
Coefficient of variation (CV)0.017579959
Kurtosis-0.72313243
Mean4015.6557
Median Absolute Deviation (MAD)43
Skewness0.13318838
Sum244955
Variance4983.6628
MonotonicityNot monotonic
2024-05-11T04:06:22.028967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3925 6
 
9.1%
3923 4
 
6.1%
4043 2
 
3.0%
4030 2
 
3.0%
4044 2
 
3.0%
4052 2
 
3.0%
4019 2
 
3.0%
4051 2
 
3.0%
4067 2
 
3.0%
3930 2
 
3.0%
Other values (31) 35
53.0%
(Missing) 5
 
7.6%
ValueCountFrequency (%)
3902 1
 
1.5%
3909 1
 
1.5%
3923 4
6.1%
3925 6
9.1%
3926 2
 
3.0%
3930 2
 
3.0%
3961 1
 
1.5%
3970 1
 
1.5%
3974 1
 
1.5%
3978 1
 
1.5%
ValueCountFrequency (%)
4168 1
1.5%
4162 1
1.5%
4148 1
1.5%
4146 1
1.5%
4138 1
1.5%
4109 1
1.5%
4092 1
1.5%
4081 2
3.0%
4073 1
1.5%
4069 1
1.5%

사업장명
Text

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2024-05-11T04:06:22.712382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length18
Mean length10.348485
Min length2

Characters and Unicode

Total characters683
Distinct characters189
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

Unique62 ?
Unique (%)93.9%

Sample

1st row메타복스
2nd row(주)캔디엔터테인먼트
3rd row무인양품(주)
4th rowJAZZ SCHOOL(재즈스쿨)
5th row시크리션뮤직코리아
ValueCountFrequency (%)
주식회사 26
 
23.0%
미스터리프렌즈 2
 
1.8%
펑키스튜디오 2
 
1.8%
스튜디오(pk2 1
 
0.9%
주)스토리텔링 1
 
0.9%
제이나인이엔티 1
 
0.9%
브이에스에이이앤에이 1
 
0.9%
나자린 1
 
0.9%
루비뮤직 1
 
0.9%
주)스포트라이트 1
 
0.9%
Other values (76) 76
67.3%
2024-05-11T04:06:23.923469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
6.9%
주 43
 
6.3%
사 29
 
4.2%
회 28
 
4.1%
식 28
 
4.1%
이 26
 
3.8%
스 21
 
3.1%
) 21
 
3.1%
( 21
 
3.1%
뮤 14
 
2.0%
Other values (179) 405
59.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 544
79.6%
Uppercase Letter 48
 
7.0%
Space Separator 47
 
6.9%
Close Punctuation 21
 
3.1%
Open Punctuation 21
 
3.1%
Decimal Number 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 43
 
7.9%
사 29
 
5.3%
회 28
 
5.1%
식 28
 
5.1%
이 26
 
4.8%
스 21
 
3.9%
뮤 14
 
2.6%
트 12
 
2.2%
에 11
 
2.0%
직 10
 
1.8%
Other values (152) 322
59.2%
Uppercase Letter
ValueCountFrequency (%)
A 5
 
10.4%
S 5
 
10.4%
O 4
 
8.3%
L 4
 
8.3%
I 4
 
8.3%
N 2
 
4.2%
K 2
 
4.2%
B 2
 
4.2%
D 2
 
4.2%
U 2
 
4.2%
Other values (12) 16
33.3%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 544
79.6%
Common 91
 
13.3%
Latin 48
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 43
 
7.9%
사 29
 
5.3%
회 28
 
5.1%
식 28
 
5.1%
이 26
 
4.8%
스 21
 
3.9%
뮤 14
 
2.6%
트 12
 
2.2%
에 11
 
2.0%
직 10
 
1.8%
Other values (152) 322
59.2%
Latin
ValueCountFrequency (%)
A 5
 
10.4%
S 5
 
10.4%
O 4
 
8.3%
L 4
 
8.3%
I 4
 
8.3%
N 2
 
4.2%
K 2
 
4.2%
B 2
 
4.2%
D 2
 
4.2%
U 2
 
4.2%
Other values (12) 16
33.3%
Common
ValueCountFrequency (%)
47
51.6%
) 21
23.1%
( 21
23.1%
2 1
 
1.1%
? 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 544
79.6%
ASCII 139
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
33.8%
) 21
15.1%
( 21
15.1%
A 5
 
3.6%
S 5
 
3.6%
O 4
 
2.9%
L 4
 
2.9%
I 4
 
2.9%
N 2
 
1.4%
K 2
 
1.4%
Other values (17) 24
17.3%
Hangul
ValueCountFrequency (%)
주 43
 
7.9%
사 29
 
5.3%
회 28
 
5.1%
식 28
 
5.1%
이 26
 
4.8%
스 21
 
3.9%
뮤 14
 
2.6%
트 12
 
2.2%
에 11
 
2.0%
직 10
 
1.8%
Other values (152) 322
59.2%

최종수정일자
Date

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2006-08-23 16:31:11
Maximum2024-04-05 17:42:20
2024-05-11T04:06:24.439027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:06:24.945545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
I
47 
U
18 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
I 47
71.2%
U 18
 
27.3%
D 1
 
1.5%

Length

2024-05-11T04:06:25.433567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:25.780552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 47
71.2%
u 18
 
27.3%
d 1
 
1.5%

데이터갱신일자
Date

Distinct39
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-05-11T04:06:26.128578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:06:26.798705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)89.2%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean192362.22
Minimum189409.32
Maximum195627.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:06:27.297792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189409.32
5-th percentile189954.32
Q1191010.21
median192661.58
Q3193343.86
95-th percentile195023.92
Maximum195627.31
Range6217.9905
Interquartile range (IQR)2333.6494

Descriptive statistics

Standard deviation1568.2051
Coefficient of variation (CV)0.0081523552
Kurtosis-0.66187175
Mean192362.22
Median Absolute Deviation (MAD)1075.8304
Skewness-0.022546121
Sum12503544
Variance2459267.4
MonotonicityNot monotonic
2024-05-11T04:06:27.856196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
189954.316212248 4
 
6.1%
190182.067334395 2
 
3.0%
190250.875091908 2
 
3.0%
190459.967586857 2
 
3.0%
193428.310624932 2
 
3.0%
193216.927776619 1
 
1.5%
192671.930832171 1
 
1.5%
195564.375757848 1
 
1.5%
191479.434268518 1
 
1.5%
193343.189223346 1
 
1.5%
Other values (48) 48
72.7%
ValueCountFrequency (%)
189409.319972063 1
 
1.5%
189954.316212248 4
6.1%
190125.564768858 1
 
1.5%
190144.143203955 1
 
1.5%
190182.067334395 2
3.0%
190250.875091908 2
3.0%
190373.610758494 1
 
1.5%
190459.967586857 2
3.0%
190650.788399237 1
 
1.5%
190771.058365849 1
 
1.5%
ValueCountFrequency (%)
195627.310464806 1
1.5%
195564.375757848 1
1.5%
195518.943871987 1
1.5%
195116.028951093 1
1.5%
194655.481709453 1
1.5%
194392.479568614 1
1.5%
194222.974753537 1
1.5%
193975.391376886 1
1.5%
193873.832458181 1
1.5%
193821.771077662 1
1.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)89.2%
Missing1
Missing (%)1.5%
Infinite0
Infinite (%)0.0%
Mean450789.05
Minimum448854.59
Maximum453459.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:06:28.363511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448854.59
5-th percentile449116.18
Q1449749.77
median450376.76
Q3451591.95
95-th percentile453263.34
Maximum453459.53
Range4604.9315
Interquartile range (IQR)1842.1809

Descriptive statistics

Standard deviation1432.4066
Coefficient of variation (CV)0.0031775541
Kurtosis-0.88571328
Mean450789.05
Median Absolute Deviation (MAD)696.64018
Skewness0.73356485
Sum29301288
Variance2051788.7
MonotonicityNot monotonic
2024-05-11T04:06:29.048464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453263.335891345 4
 
6.1%
453141.676626027 2
 
3.0%
453017.867202928 2
 
3.0%
453050.376274362 2
 
3.0%
449181.655900236 2
 
3.0%
449861.60984718 1
 
1.5%
449582.07274462 1
 
1.5%
449186.933273231 1
 
1.5%
449769.081257817 1
 
1.5%
450537.126128571 1
 
1.5%
Other values (48) 48
72.7%
ValueCountFrequency (%)
448854.594112514 1
1.5%
448911.170149526 1
1.5%
449071.651462791 1
1.5%
449099.812847538 1
1.5%
449181.655900236 2
3.0%
449186.933273231 1
1.5%
449268.664404843 1
1.5%
449367.593942345 1
1.5%
449493.121636964 1
1.5%
449582.07274462 1
1.5%
ValueCountFrequency (%)
453459.525588653 1
 
1.5%
453263.335891345 4
6.1%
453141.676626027 2
3.0%
453112.077787463 1
 
1.5%
453090.149821248 1
 
1.5%
453050.376274362 2
3.0%
453017.867202928 2
3.0%
452736.802862801 1
 
1.5%
452661.881735853 1
 
1.5%
452658.525902179 1
 
1.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
음반.음악영상물배급업
44 
<NA>
22 

Length

Max length11
Median length11
Mean length8.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음반.음악영상물배급업 44
66.7%
<NA> 22
33.3%

Length

2024-05-11T04:06:29.523674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:30.022454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물배급업 44
66.7%
na 22
33.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
유통관련업
44 
<NA>
22 

Length

Max length5
Median length5
Mean length4.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 44
66.7%
<NA> 22
33.3%

Length

2024-05-11T04:06:30.500136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:30.918032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 44
66.7%
na 22
33.3%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
63 
1
 
2
0
 
1

Length

Max length4
Median length4
Mean length3.8636364
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 63
95.5%
1 2
 
3.0%
0 1
 
1.5%

Length

2024-05-11T04:06:31.470637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:31.885404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
95.5%
1 2
 
3.0%
0 1
 
1.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

제작취급품목내용
Text

MISSING 

Distinct16
Distinct (%)57.1%
Missing38
Missing (%)57.6%
Memory size660.0 B
2024-05-11T04:06:32.382103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length6.3928571
Min length2

Characters and Unicode

Total characters179
Distinct characters30
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)46.4%

Sample

1st row음반
2nd row음반
3rd row음반
4th row음반
5th row음반,음악영상물
ValueCountFrequency (%)
음반 10
29.4%
음반,음악영상물 6
17.6%
음악영상물 3
 
8.8%
및 2
 
5.9%
디지털앨범 1
 
2.9%
오디오물 1
 
2.9%
음악 1
 
2.9%
음반?영상?뮤직비디오?라이브 1
 
2.9%
음반판매 1
 
2.9%
음반,음원,음악,음악영상물 1
 
2.9%
Other values (7) 7
20.6%
2024-05-11T04:06:33.635124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 41
22.9%
반 22
12.3%
악 16
 
8.9%
영 15
 
8.4%
상 15
 
8.4%
물 14
 
7.8%
, 13
 
7.3%
6
 
3.4%
오 4
 
2.2%
디 4
 
2.2%
Other values (20) 29
16.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 152
84.9%
Other Punctuation 17
 
9.5%
Space Separator 6
 
3.4%
Uppercase Letter 2
 
1.1%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 41
27.0%
반 22
14.5%
악 16
 
10.5%
영 15
 
9.9%
상 15
 
9.9%
물 14
 
9.2%
오 4
 
2.6%
디 4
 
2.6%
원 3
 
2.0%
및 2
 
1.3%
Other values (13) 16
 
10.5%
Other Punctuation
ValueCountFrequency (%)
, 13
76.5%
? 4
 
23.5%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 152
84.9%
Common 25
 
14.0%
Latin 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 41
27.0%
반 22
14.5%
악 16
 
10.5%
영 15
 
9.9%
상 15
 
9.9%
물 14
 
9.2%
오 4
 
2.6%
디 4
 
2.6%
원 3
 
2.0%
및 2
 
1.3%
Other values (13) 16
 
10.5%
Common
ValueCountFrequency (%)
, 13
52.0%
6
24.0%
? 4
 
16.0%
( 1
 
4.0%
) 1
 
4.0%
Latin
ValueCountFrequency (%)
D 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 152
84.9%
ASCII 27
 
15.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 41
27.0%
반 22
14.5%
악 16
 
10.5%
영 15
 
9.9%
상 15
 
9.9%
물 14
 
9.2%
오 4
 
2.6%
디 4
 
2.6%
원 3
 
2.0%
및 2
 
1.3%
Other values (13) 16
 
10.5%
ASCII
ValueCountFrequency (%)
, 13
48.1%
6
22.2%
? 4
 
14.8%
( 1
 
3.7%
) 1
 
3.7%
D 1
 
3.7%
C 1
 
3.7%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)88.2%
Missing49
Missing (%)74.2%
Infinite0
Infinite (%)0.0%
Mean217.73235
Minimum0
Maximum2355.2
Zeros3
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size726.0 B
2024-05-11T04:06:34.112797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q142.98
median85
Q3126.82
95-th percentile642.488
Maximum2355.2
Range2355.2
Interquartile range (IQR)83.84

Descriptive statistics

Standard deviation554.74266
Coefficient of variation (CV)2.5478192
Kurtosis16.427572
Mean217.73235
Median Absolute Deviation (MAD)42.02
Skewness4.0254019
Sum3701.45
Variance307739.42
MonotonicityNot monotonic
2024-05-11T04:06:34.638497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 3
 
4.5%
125.96 1
 
1.5%
45.79 1
 
1.5%
103.14 1
 
1.5%
85.0 1
 
1.5%
2355.2 1
 
1.5%
79.65 1
 
1.5%
161.62 1
 
1.5%
197.4 1
 
1.5%
42.98 1
 
1.5%
Other values (5) 5
 
7.6%
(Missing) 49
74.2%
ValueCountFrequency (%)
0.0 3
4.5%
22.23 1
 
1.5%
42.98 1
 
1.5%
45.79 1
 
1.5%
46.3 1
 
1.5%
79.65 1
 
1.5%
85.0 1
 
1.5%
95.05 1
 
1.5%
103.14 1
 
1.5%
125.96 1
 
1.5%
ValueCountFrequency (%)
2355.2 1
1.5%
214.31 1
1.5%
197.4 1
1.5%
161.62 1
1.5%
126.82 1
1.5%
125.96 1
1.5%
103.14 1
1.5%
95.05 1
1.5%
85.0 1
1.5%
79.65 1
1.5%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
62 
1
 
2
4
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.8181818
Min length1

Unique

Unique2 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
93.9%
1 2
 
3.0%
4 1
 
1.5%
0 1
 
1.5%

Length

2024-05-11T04:06:35.172305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:35.758632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
93.9%
1 2
 
3.0%
4 1
 
1.5%
0 1
 
1.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-05-11T04:06:36.400243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:36.966882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing65
Missing (%)98.5%
Memory size660.0 B
2024-05-11T04:06:37.464915image/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 row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-05-11T04:06:38.845206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-05-11T04:06:39.491893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:39.895821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-05-11T04:06:40.291118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:40.787721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-05-11T04:06:41.397083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:41.985924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-05-11T04:06:42.466830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:43.082855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
<NA>
65 
0
 
1

Length

Max length4
Median length4
Mean length3.9545455
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 65
98.5%
0 1
 
1.5%

Length

2024-05-11T04:06:43.575135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:06:44.083601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
98.5%
0 1
 
1.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing66
Missing (%)100.0%
Memory size726.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing65
Missing (%)98.5%
Memory size660.0 B
2024-05-11T04:06:44.563082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
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 row주거지역
ValueCountFrequency (%)
주거지역 1
100.0%
2024-05-11T04:06:45.317212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1
25.0%
거 1
25.0%
지 1
25.0%
역 1
25.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF324110200000000120000508<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**번지 *층서울특별시 마포구 와우산로**길 **, *층 (서교동)4067메타복스2016-03-15 14:29:35I2018-08-31 23:59:59.0<NA>193216.927777449861.609847음반.음악영상물배급업유통관련업<NA><NA>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>
13130000CDFF324110200100000120010721<NA>3폐업3폐업20090709<NA><NA><NA>322-7111<NA><NA>서울특별시 마포구 서교동 ***-**번지 예랑빌딩 *층서울특별시 마포구 잔다리로 ** (서교동,예랑빌딩 *층)<NA>(주)캔디엔터테인먼트2009-07-09 11:18:49I2018-08-31 23:59:59.0<NA>192878.727777449832.766257음반.음악영상물배급업유통관련업<NA><NA>음반0.0<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>
23130000CDFF324110200500000120051124<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>150094서울특별시 영등포구 문래동*가 **-*번지 태양프라자 *층<NA><NA>무인양품(주)2006-08-23 16:31:11I2018-08-31 23:59:59.0<NA><NA><NA>음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33130000CDFF324110200600000120060302<NA>3폐업3폐업20070823<NA><NA><NA>6351-5930<NA>121807서울특별시 마포구 노고산동 **-**번지 르메이에르 *차 ****호서울특별시 마포구 서강로 ***-*, ****호 (노고산동,르메이에르 *차)<NA>JAZZ SCHOOL(재즈스쿨)2007-08-23 16:59:25I2018-08-31 23:59:59.0<NA>194222.974754450291.166878음반.음악영상물배급업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43130000CDFF324110200700000120070123<NA>3폐업3폐업20110526<NA><NA><NA><NA><NA>121848서울특별시 마포구 성산동 ***-*번지 두일빌딩*층 ***호서울특별시 마포구 성미산로 **, ***호 (성산동,두일빌딩*층)<NA>시크리션뮤직코리아2011-05-27 10:02:33I2018-08-31 23:59:59.0<NA>192077.542271450700.244861음반.음악영상물배급업유통관련업<NA><NA>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>
53130000CDFF324110200700000220071018<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 ***-**번지 지하*층서울특별시 마포구 월드컵로 **, 지하*층 (합정동)4023(주)에이씨엔터테인먼트2015-08-04 14:21:05I2018-08-31 23:59:59.0<NA>192129.733626450103.572313음반.음악영상물배급업유통관련업<NA><NA>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>
63130000CDFF324110200700000320070718<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 ****번지 누리꿈스퀘어 연구개발센터 ****호서울특별시 마포구 월드컵북로 ***, ****호 (상암동, 누리꿈스퀘어)3925(주)네오싸이언2015-08-04 14:22:52I2018-08-31 23:59:59.0<NA>190250.875092453017.867203음반.음악영상물배급업유통관련업<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>
73130000CDFF324110200800000120080313<NA>1영업/정상13영업중<NA><NA><NA><NA>2132-7000<NA><NA>서울특별시 마포구 상암동 ****번지 누리꿈스퀘어연구개발타워 **층서울특별시 마포구 월드컵북로 ***, **층 (상암동, 누리꿈스퀘어연구개발타워)3925(주)그라비티2014-12-04 10:45:01I2018-08-31 23:59:59.0<NA>190250.875092453017.867203음반.음악영상물배급업유통관련업<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>
83130000CDFF324110200900000120090616<NA>3폐업3폐업20150714<NA><NA><NA>02-6401-3456<NA><NA>서울특별시 마포구 망원동 ***-**번지 지층서울특별시 마포구 망원로 ** (망원동,지층)<NA>쥬스미디어2015-07-15 16:31:54I2018-08-31 23:59:59.0<NA>191390.865424450548.610379음반.음악영상물배급업유통관련업<NA><NA>음반0.0<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>
93130000CDFF324110200900000220090914<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 ***-**번지 *층서울특별시 마포구 동교로**길 **, *층 (동교동, 금양빌딩)3992약기운 엔터테인먼트2015-08-04 14:24:18I2018-08-31 23:59:59.0<NA>192923.698783450691.258244음반.음악영상물배급업유통관련업<NA><NA>음원125.96<NA><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
563130000CDFF32411020220000022022-05-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-** 서교동근린생활시설서울특별시 마포구 잔다리로 **, *층 (서교동)4042주식회사 에이플랜컴퍼니2023-07-10 11:37:49U2022-12-06 23:03:00.0<NA>192707.716845449753.356098<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573130000CDFF324110202200000320220509<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 신수동 **-**서울특별시 마포구 백범로 **-*, *층 (신수동)4109뉴엔터테인먼트2022-05-09 10:20:49I2021-12-04 23:01:00.0<NA>194392.479569449930.189471<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583130000CDFF324110202200000420220812<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2088-7215<NA><NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 동교로 ***-*, 지하층 (서교동)4031주식회사 도움네트웍스2022-08-12 13:53:38I2021-12-07 23:04:00.0<NA>192885.594326450375.32191<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593130000CDFF324110202200000520221230<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 463-28서울특별시 마포구 동교로 144, 공암빌딩 5층 (서교동)4030락킨코리아주식회사2022-12-30 12:35:50I2022-12-01 00:01:00.0<NA>192694.446583450326.140093<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603130000CDFF32411020230000012023-02-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 잔다리로 **, 우신빌딩 *층 (서교동)4043주식회사 두세븐엔터테인먼트2023-02-03 11:23:33I2022-12-02 00:05:00.0<NA>192866.453646449849.09236<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613130000CDFF32411020230000022023-03-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** 팬엔터테인먼트 사옥서울특별시 마포구 월드컵북로**길 **, 더팬빌딩 *층 (상암동)3923주식회사 펑키스튜디오2023-03-24 17:37:45I2022-12-02 22:06:00.0<NA>189954.316212453263.335891<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623130000CDFF32411020230000032023-03-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** 팬엔터테인먼트 사옥서울특별시 마포구 월드컵북로**길 **, 더팬빌딩 *층 (상암동)3923주식회사 펑키스튜디오2023-03-28 13:26:51D2022-12-02 21:00:00.0<NA>189954.316212453263.335891<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
633130000CDFF32411020230000042023-07-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 합정동 ***-* 유니타워서울특별시 마포구 독막로*길 **, 유니타워 *층 (합정동)4073주식회사 스탠다드프렌즈2023-07-12 16:51:48I2022-12-06 23:04:00.0<NA>192661.577336449268.664405<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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