Overview

Dataset statistics

Number of variables56
Number of observations55
Missing cells1519
Missing cells (%)49.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.2 KiB
Average record size in memory488.4 B

Variable types

Categorical17
Text9
DateTime4
Unsupported22
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-17805/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
소재지우편번호 is highly imbalanced (86.9%)Imbalance
총층수 is highly imbalanced (62.4%)Imbalance
지상층수 is highly imbalanced (72.6%)Imbalance
지하층수 is highly imbalanced (72.6%)Imbalance
통로너비 is highly imbalanced (62.4%)Imbalance
조명시설조도 is highly imbalanced (62.4%)Imbalance
노래방실수 is highly imbalanced (62.4%)Imbalance
청소년실수 is highly imbalanced (62.4%)Imbalance
총게임기수 is highly imbalanced (62.4%)Imbalance
인허가취소일자 has 55 (100.0%) missing valuesMissing
폐업일자 has 40 (72.7%) missing valuesMissing
휴업시작일자 has 55 (100.0%) missing valuesMissing
휴업종료일자 has 55 (100.0%) missing valuesMissing
재개업일자 has 55 (100.0%) missing valuesMissing
전화번호 has 38 (69.1%) missing valuesMissing
소재지면적 has 55 (100.0%) missing valuesMissing
도로명우편번호 has 4 (7.3%) missing valuesMissing
업태구분명 has 55 (100.0%) missing valuesMissing
주변환경명 has 54 (98.2%) missing valuesMissing
제작취급품목내용 has 25 (45.5%) missing valuesMissing
시설면적 has 41 (74.5%) missing valuesMissing
건물용도명 has 54 (98.2%) missing valuesMissing
비상계단여부 has 55 (100.0%) missing valuesMissing
비상구여부 has 55 (100.0%) missing valuesMissing
자동환기여부 has 55 (100.0%) missing valuesMissing
청소년실여부 has 55 (100.0%) missing valuesMissing
특수조명여부 has 55 (100.0%) missing valuesMissing
방음시설여부 has 55 (100.0%) missing valuesMissing
비디오재생기명 has 55 (100.0%) missing valuesMissing
조명시설유무 has 55 (100.0%) missing valuesMissing
음향시설여부 has 55 (100.0%) missing valuesMissing
편의시설여부 has 55 (100.0%) missing valuesMissing
소방시설여부 has 55 (100.0%) missing valuesMissing
기존게임업외업종명 has 55 (100.0%) missing valuesMissing
제공게임물명 has 55 (100.0%) missing valuesMissing
공연장형태구분명 has 55 (100.0%) missing valuesMissing
품목명 has 55 (100.0%) missing valuesMissing
최초등록시점 has 55 (100.0%) missing valuesMissing
지역구분명 has 53 (96.4%) 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
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 2 (3.6%) zerosZeros

Reproduction

Analysis started2024-05-11 05:47:03.454299
Analysis finished2024-05-11 05:47:04.285634
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
3030000
55 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 55
100.0%

Length

2024-05-11T14:47:04.406095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:04.649329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 55
100.0%

관리번호
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T14:47:04.910142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1100
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

Unique55 ?
Unique (%)100.0%

Sample

1st rowCDFF3241062006000001
2nd rowCDFF3241062007000001
3rd rowCDFF3241062011000001
4th rowCDFF3241062012000001
5th rowCDFF3241062012000002
ValueCountFrequency (%)
cdff3241062006000001 1
 
1.8%
cdff3241062020000004 1
 
1.8%
cdff3241062020000006 1
 
1.8%
cdff3241062020000007 1
 
1.8%
cdff3241062020000008 1
 
1.8%
cdff3241062020000009 1
 
1.8%
cdff3241062020000010 1
 
1.8%
cdff3241062020000011 1
 
1.8%
cdff3241062020000012 1
 
1.8%
cdff3241062020000013 1
 
1.8%
Other values (45) 45
81.8%
2024-05-11T14:47:05.450486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 397
36.1%
2 161
14.6%
F 110
 
10.0%
1 104
 
9.5%
3 70
 
6.4%
4 65
 
5.9%
6 64
 
5.8%
C 55
 
5.0%
D 55
 
5.0%
5 6
 
0.5%
Other values (3) 13
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 880
80.0%
Uppercase Letter 220
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 397
45.1%
2 161
18.3%
1 104
 
11.8%
3 70
 
8.0%
4 65
 
7.4%
6 64
 
7.3%
5 6
 
0.7%
7 5
 
0.6%
9 5
 
0.6%
8 3
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 110
50.0%
C 55
25.0%
D 55
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 880
80.0%
Latin 220
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 397
45.1%
2 161
18.3%
1 104
 
11.8%
3 70
 
8.0%
4 65
 
7.4%
6 64
 
7.3%
5 6
 
0.7%
7 5
 
0.6%
9 5
 
0.6%
8 3
 
0.3%
Latin
ValueCountFrequency (%)
F 110
50.0%
C 55
25.0%
D 55
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 397
36.1%
2 161
14.6%
F 110
 
10.0%
1 104
 
9.5%
3 70
 
6.4%
4 65
 
5.9%
6 64
 
5.8%
C 55
 
5.0%
D 55
 
5.0%
5 6
 
0.5%
Other values (3) 13
 
1.2%

인허가일자
Date

Distinct54
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2005-10-11 00:00:00
Maximum2024-03-11 00:00:00
2024-05-11T14:47:05.676809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:05.867772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
1
40 
3
12 
5
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 40
72.7%
3 12
 
21.8%
5 3
 
5.5%

Length

2024-05-11T14:47:06.084223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:06.261946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
72.7%
3 12
 
21.8%
5 3
 
5.5%

영업상태명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업/정상
40 
폐업
12 
제외/삭제/전출
 
3

Length

Max length8
Median length5
Mean length4.5090909
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 40
72.7%
폐업 12
 
21.8%
제외/삭제/전출 3
 
5.5%

Length

2024-05-11T14:47:06.426996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:06.597800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 40
72.7%
폐업 12
 
21.8%
제외/삭제/전출 3
 
5.5%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
13
40 
3
12 
15
 
3

Length

Max length2
Median length2
Mean length1.7818182
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 40
72.7%
3 12
 
21.8%
15 3
 
5.5%

Length

2024-05-11T14:47:06.785620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:06.980236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 40
72.7%
3 12
 
21.8%
15 3
 
5.5%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
영업중
40 
폐업
12 
전출
 
3

Length

Max length3
Median length3
Mean length2.7272727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 40
72.7%
폐업 12
 
21.8%
전출 3
 
5.5%

Length

2024-05-11T14:47:07.162229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:07.629294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 40
72.7%
폐업 12
 
21.8%
전출 3
 
5.5%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing40
Missing (%)72.7%
Memory size572.0 B
Minimum2014-05-28 00:00:00
Maximum2024-02-08 00:00:00
2024-05-11T14:47:07.772933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:07.954988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing38
Missing (%)69.1%
Memory size572.0 B
2024-05-11T14:47:08.258543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.411765
Min length7

Characters and Unicode

Total characters194
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

Unique17 ?
Unique (%)100.0%

Sample

1st row2297-6607
2nd row02-3661-1548
3rd row02-2295-6197
4th row070-4327-5933
5th row02-542-8517
ValueCountFrequency (%)
2297-6607 1
 
5.9%
02-6078-6100 1
 
5.9%
070-4306-1986 1
 
5.9%
02-3448-4464 1
 
5.9%
02-567-2027 1
 
5.9%
02-2286-7830 1
 
5.9%
02-6959-3251 1
 
5.9%
02-6014-9407 1
 
5.9%
4611125 1
 
5.9%
02-2295-6197 1
 
5.9%
Other values (7) 7
41.2%
2024-05-11T14:47:08.809305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 32
16.5%
- 31
16.0%
2 25
12.9%
6 18
9.3%
4 17
8.8%
1 14
7.2%
7 13
6.7%
9 12
 
6.2%
3 12
 
6.2%
5 11
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 163
84.0%
Dash Punctuation 31
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 32
19.6%
2 25
15.3%
6 18
11.0%
4 17
10.4%
1 14
8.6%
7 13
8.0%
9 12
 
7.4%
3 12
 
7.4%
5 11
 
6.7%
8 9
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 194
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 32
16.5%
- 31
16.0%
2 25
12.9%
6 18
9.3%
4 17
8.8%
1 14
7.2%
7 13
6.7%
9 12
 
6.2%
3 12
 
6.2%
5 11
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 32
16.5%
- 31
16.0%
2 25
12.9%
6 18
9.3%
4 17
8.8%
1 14
7.2%
7 13
6.7%
9 12
 
6.2%
3 12
 
6.2%
5 11
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
54 
133845
 
1

Length

Max length6
Median length4
Mean length4.0363636
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row133845
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 54
98.2%
133845 1
 
1.8%

Length

2024-05-11T14:47:09.092142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:09.323721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
98.2%
133845 1
 
1.8%

지번주소
Text

Distinct42
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T14:47:09.625324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length26.545455
Min length17

Characters and Unicode

Total characters1460
Distinct characters92
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

Unique34 ?
Unique (%)61.8%

Sample

1st row서울특별시 성동구 옥수동 ***번지 B*
2nd row서울특별시 성동구 성수동*가 ***-**번지 *층
3rd row서울특별시 성동구 성수동*가 ***-***번지 *층
4th row서울특별시 성동구 성수동*가 ***-**번지
5th row서울특별시 성동구 성수동*가 ***-**번지
ValueCountFrequency (%)
서울특별시 55
21.0%
성동구 55
21.0%
성수동*가 39
14.9%
34
13.0%
번지 21
 
8.0%
서울숲 5
 
1.9%
마장동 5
 
1.9%
옥수동 4
 
1.5%
하왕십리동 3
 
1.1%
l-tower 3
 
1.1%
Other values (33) 38
14.5%
2024-05-11T14:47:10.196253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 307
21.0%
246
16.8%
동 112
 
7.7%
성 98
 
6.7%
서 62
 
4.2%
울 62
 
4.2%
구 55
 
3.8%
시 55
 
3.8%
별 55
 
3.8%
특 55
 
3.8%
Other values (82) 353
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 820
56.2%
Other Punctuation 307
 
21.0%
Space Separator 246
 
16.8%
Dash Punctuation 50
 
3.4%
Uppercase Letter 19
 
1.3%
Lowercase Letter 18
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 112
13.7%
성 98
12.0%
서 62
 
7.6%
울 62
 
7.6%
구 55
 
6.7%
시 55
 
6.7%
별 55
 
6.7%
특 55
 
6.7%
수 47
 
5.7%
가 40
 
4.9%
Other values (62) 179
21.8%
Uppercase Letter
ValueCountFrequency (%)
T 5
26.3%
L 3
15.8%
W 2
 
10.5%
B 2
 
10.5%
R 1
 
5.3%
S 1
 
5.3%
K 1
 
5.3%
V 1
 
5.3%
O 1
 
5.3%
E 1
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
o 5
27.8%
w 3
16.7%
r 3
16.7%
e 3
16.7%
a 2
 
11.1%
h 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 307
100.0%
Space Separator
ValueCountFrequency (%)
246
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 820
56.2%
Common 603
41.3%
Latin 37
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 112
13.7%
성 98
12.0%
서 62
 
7.6%
울 62
 
7.6%
구 55
 
6.7%
시 55
 
6.7%
별 55
 
6.7%
특 55
 
6.7%
수 47
 
5.7%
가 40
 
4.9%
Other values (62) 179
21.8%
Latin
ValueCountFrequency (%)
o 5
13.5%
T 5
13.5%
w 3
8.1%
L 3
8.1%
r 3
8.1%
e 3
8.1%
a 2
 
5.4%
h 2
 
5.4%
W 2
 
5.4%
B 2
 
5.4%
Other values (7) 7
18.9%
Common
ValueCountFrequency (%)
* 307
50.9%
246
40.8%
- 50
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 820
56.2%
ASCII 640
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 307
48.0%
246
38.4%
- 50
 
7.8%
o 5
 
0.8%
T 5
 
0.8%
w 3
 
0.5%
L 3
 
0.5%
r 3
 
0.5%
e 3
 
0.5%
a 2
 
0.3%
Other values (10) 13
 
2.0%
Hangul
ValueCountFrequency (%)
동 112
13.7%
성 98
12.0%
서 62
 
7.6%
울 62
 
7.6%
구 55
 
6.7%
시 55
 
6.7%
별 55
 
6.7%
특 55
 
6.7%
수 47
 
5.7%
가 40
 
4.9%
Other values (62) 179
21.8%

도로명주소
Text

Distinct53
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T14:47:10.691516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length43
Mean length36.763636
Min length26

Characters and Unicode

Total characters2022
Distinct characters127
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)92.7%

Sample

1st row서울특별시 성동구 매봉길 ** (옥수동,B*)
2nd row서울특별시 성동구 서울숲*길 ** (성수동*가,*층)
3rd row서울특별시 성동구 성덕정**길 ** (성수동*가,*층)
4th row서울특별시 성동구 아차산로*길 * (성수동*가)
5th row서울특별시 성동구 아차산로 ** (성수동*가)
ValueCountFrequency (%)
서울특별시 55
14.4%
성동구 55
14.4%
55
14.4%
성수동*가 37
 
9.7%
호 27
 
7.1%
층 25
 
6.5%
아차산로 8
 
2.1%
마장동 5
 
1.3%
왕십리로 5
 
1.3%
서울숲 5
 
1.3%
Other values (81) 105
27.5%
2024-05-11T14:47:11.434587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 354
17.5%
331
16.4%
동 119
 
5.9%
성 112
 
5.5%
서 65
 
3.2%
울 64
 
3.2%
, 61
 
3.0%
수 58
 
2.9%
) 56
 
2.8%
( 56
 
2.8%
Other values (117) 746
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1111
54.9%
Other Punctuation 415
 
20.5%
Space Separator 331
 
16.4%
Close Punctuation 56
 
2.8%
Open Punctuation 56
 
2.8%
Uppercase Letter 25
 
1.2%
Lowercase Letter 18
 
0.9%
Dash Punctuation 9
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 119
 
10.7%
성 112
 
10.1%
서 65
 
5.9%
울 64
 
5.8%
수 58
 
5.2%
특 55
 
5.0%
별 55
 
5.0%
시 55
 
5.0%
구 55
 
5.0%
가 46
 
4.1%
Other values (92) 427
38.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
24.0%
T 5
20.0%
L 3
12.0%
W 2
 
8.0%
E 2
 
8.0%
R 1
 
4.0%
I 1
 
4.0%
O 1
 
4.0%
A 1
 
4.0%
S 1
 
4.0%
Other values (2) 2
 
8.0%
Lowercase Letter
ValueCountFrequency (%)
o 5
27.8%
e 3
16.7%
w 3
16.7%
r 3
16.7%
h 2
 
11.1%
a 2
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 354
85.3%
, 61
 
14.7%
Space Separator
ValueCountFrequency (%)
331
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1111
54.9%
Common 868
42.9%
Latin 43
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 119
 
10.7%
성 112
 
10.1%
서 65
 
5.9%
울 64
 
5.8%
수 58
 
5.2%
특 55
 
5.0%
별 55
 
5.0%
시 55
 
5.0%
구 55
 
5.0%
가 46
 
4.1%
Other values (92) 427
38.4%
Latin
ValueCountFrequency (%)
B 6
14.0%
o 5
11.6%
T 5
11.6%
e 3
 
7.0%
L 3
 
7.0%
w 3
 
7.0%
r 3
 
7.0%
W 2
 
4.7%
h 2
 
4.7%
a 2
 
4.7%
Other values (8) 9
20.9%
Common
ValueCountFrequency (%)
* 354
40.8%
331
38.1%
, 61
 
7.0%
) 56
 
6.5%
( 56
 
6.5%
- 9
 
1.0%
~ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1111
54.9%
ASCII 911
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 354
38.9%
331
36.3%
, 61
 
6.7%
) 56
 
6.1%
( 56
 
6.1%
- 9
 
1.0%
B 6
 
0.7%
o 5
 
0.5%
T 5
 
0.5%
e 3
 
0.3%
Other values (15) 25
 
2.7%
Hangul
ValueCountFrequency (%)
동 119
 
10.7%
성 112
 
10.1%
서 65
 
5.9%
울 64
 
5.8%
수 58
 
5.2%
특 55
 
5.0%
별 55
 
5.0%
시 55
 
5.0%
구 55
 
5.0%
가 46
 
4.1%
Other values (92) 427
38.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)54.9%
Missing4
Missing (%)7.3%
Infinite0
Infinite (%)0.0%
Mean7286.0392
Minimum4701
Maximum133120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T14:47:11.740144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4701
5-th percentile4707
Q14759
median4781
Q34789.5
95-th percentile4796.5
Maximum133120
Range128419
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation17972.707
Coefficient of variation (CV)2.4667321
Kurtosis50.999729
Mean7286.0392
Median Absolute Deviation (MAD)12
Skewness7.1414005
Sum371588
Variance3.230182 × 108
MonotonicityNot monotonic
2024-05-11T14:47:11.980417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4793 5
 
9.1%
4778 4
 
7.3%
4783 4
 
7.3%
4781 3
 
5.5%
4782 3
 
5.5%
4789 3
 
5.5%
4732 2
 
3.6%
4758 2
 
3.6%
4759 2
 
3.6%
4790 2
 
3.6%
Other values (18) 21
38.2%
(Missing) 4
 
7.3%
ValueCountFrequency (%)
4701 1
1.8%
4705 1
1.8%
4707 2
3.6%
4710 1
1.8%
4714 1
1.8%
4727 1
1.8%
4732 2
3.6%
4735 1
1.8%
4758 2
3.6%
4759 2
3.6%
ValueCountFrequency (%)
133120 1
 
1.8%
4802 1
 
1.8%
4799 1
 
1.8%
4794 2
 
3.6%
4793 5
9.1%
4791 1
 
1.8%
4790 2
 
3.6%
4789 3
5.5%
4784 2
 
3.6%
4783 4
7.3%

사업장명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2024-05-11T14:47:12.384396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length9.0909091
Min length4

Characters and Unicode

Total characters500
Distinct characters159
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row평화의 모후 선교회
2nd row아이엠지테크(주)
3rd rowMJ컴퍼니
4th row대박노래기획
5th row빅토리노래기획
ValueCountFrequency (%)
주식회사 11
 
14.5%
베레스트 2
 
2.6%
평화의 1
 
1.3%
주)스페이스오디티 1
 
1.3%
주)일일공일팔 1
 
1.3%
투엘(주 1
 
1.3%
소심한사자 1
 
1.3%
주)두리안서비스 1
 
1.3%
청담미디어 1
 
1.3%
주)스톨로 1
 
1.3%
Other values (55) 55
72.4%
2024-05-11T14:47:13.053710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 33
 
6.6%
스 23
 
4.6%
) 21
 
4.2%
21
 
4.2%
( 21
 
4.2%
트 18
 
3.6%
이 18
 
3.6%
사 14
 
2.8%
회 12
 
2.4%
먼 11
 
2.2%
Other values (149) 308
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
85.0%
Close Punctuation 21
 
4.2%
Space Separator 21
 
4.2%
Open Punctuation 21
 
4.2%
Uppercase Letter 12
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 33
 
7.8%
스 23
 
5.4%
트 18
 
4.2%
이 18
 
4.2%
사 14
 
3.3%
회 12
 
2.8%
먼 11
 
2.6%
터 11
 
2.6%
테 11
 
2.6%
식 11
 
2.6%
Other values (136) 263
61.9%
Uppercase Letter
ValueCountFrequency (%)
U 2
16.7%
T 2
16.7%
F 1
8.3%
J 1
8.3%
M 1
8.3%
R 1
8.3%
E 1
8.3%
P 1
8.3%
A 1
8.3%
S 1
8.3%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 425
85.0%
Common 63
 
12.6%
Latin 12
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 33
 
7.8%
스 23
 
5.4%
트 18
 
4.2%
이 18
 
4.2%
사 14
 
3.3%
회 12
 
2.8%
먼 11
 
2.6%
터 11
 
2.6%
테 11
 
2.6%
식 11
 
2.6%
Other values (136) 263
61.9%
Latin
ValueCountFrequency (%)
U 2
16.7%
T 2
16.7%
F 1
8.3%
J 1
8.3%
M 1
8.3%
R 1
8.3%
E 1
8.3%
P 1
8.3%
A 1
8.3%
S 1
8.3%
Common
ValueCountFrequency (%)
) 21
33.3%
21
33.3%
( 21
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
85.0%
ASCII 75
 
15.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 33
 
7.8%
스 23
 
5.4%
트 18
 
4.2%
이 18
 
4.2%
사 14
 
3.3%
회 12
 
2.8%
먼 11
 
2.6%
터 11
 
2.6%
테 11
 
2.6%
식 11
 
2.6%
Other values (136) 263
61.9%
ASCII
ValueCountFrequency (%)
) 21
28.0%
21
28.0%
( 21
28.0%
U 2
 
2.7%
T 2
 
2.7%
F 1
 
1.3%
J 1
 
1.3%
M 1
 
1.3%
R 1
 
1.3%
E 1
 
1.3%
Other values (3) 3
 
4.0%

최종수정일자
Date

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2006-07-11 11:44:42
Maximum2024-04-15 18:11:01
2024-05-11T14:47:13.305639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:13.526478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
I
37 
U
18 

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 37
67.3%
U 18
32.7%

Length

2024-05-11T14:47:13.740940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:13.928895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 37
67.3%
u 18
32.7%

데이터갱신일자
Date

Distinct42
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size572.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:07:00
2024-05-11T14:47:14.130685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:14.372516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

좌표정보(X)
Real number (ℝ)

Distinct51
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203994.17
Minimum200782.35
Maximum205646.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T14:47:14.577268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200782.35
5-th percentile201373.86
Q1203729.54
median204257.6
Q3204781.06
95-th percentile205127.28
Maximum205646.11
Range4863.76
Interquartile range (IQR)1051.5243

Descriptive statistics

Standard deviation1140.8347
Coefficient of variation (CV)0.0055924868
Kurtosis1.1044009
Mean203994.17
Median Absolute Deviation (MAD)536.35482
Skewness-1.2526021
Sum11219679
Variance1301503.8
MonotonicityNot monotonic
2024-05-11T14:47:14.815689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203994.658040173 3
 
5.5%
205077.325266776 2
 
3.6%
204702.224732035 2
 
3.6%
201356.590509 1
 
1.8%
204735.969877121 1
 
1.8%
203904.832656527 1
 
1.8%
204182.214525646 1
 
1.8%
203835.001061826 1
 
1.8%
204902.393695334 1
 
1.8%
202080.868615726 1
 
1.8%
Other values (41) 41
74.5%
ValueCountFrequency (%)
200782.353831759 1
1.8%
200951.206580662 1
1.8%
201356.590509 1
1.8%
201381.261390607 1
1.8%
202080.868615726 1
1.8%
202335.74116969 1
1.8%
202372.912023599 1
1.8%
202714.574397193 1
1.8%
202766.803944904 1
1.8%
202801.672322169 1
1.8%
ValueCountFrequency (%)
205646.113813184 1
1.8%
205558.799253831 1
1.8%
205243.825470421 1
1.8%
205077.325266776 2
3.6%
205014.436191811 1
1.8%
204948.345073119 1
1.8%
204945.227240129 1
1.8%
204939.155835935 1
1.8%
204902.393695334 1
1.8%
204901.926291615 1
1.8%

좌표정보(Y)
Real number (ℝ)

Distinct51
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449585.85
Minimum448450.77
Maximum451627.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T14:47:15.069728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448450.77
5-th percentile448641.23
Q1448972.6
median449317.78
Q3449602.47
95-th percentile451522.65
Maximum451627.41
Range3176.6473
Interquartile range (IQR)629.87384

Descriptive statistics

Standard deviation918.39793
Coefficient of variation (CV)0.0020427643
Kurtosis0.31205406
Mean449585.85
Median Absolute Deviation (MAD)316.857
Skewness1.255502
Sum24727221
Variance843454.75
MonotonicityNot monotonic
2024-05-11T14:47:15.298099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449552.049448345 3
 
5.5%
448924.655109511 2
 
3.6%
449076.199238284 2
 
3.6%
449591.122722 1
 
1.8%
449479.093965795 1
 
1.8%
449317.777057678 1
 
1.8%
449903.034291997 1
 
1.8%
449508.116206891 1
 
1.8%
448952.157253884 1
 
1.8%
450061.806054306 1
 
1.8%
Other values (41) 41
74.5%
ValueCountFrequency (%)
448450.76619243 1
1.8%
448533.723316971 1
1.8%
448597.97687579 1
1.8%
448659.767345547 1
1.8%
448769.04984965 1
1.8%
448770.592460467 1
1.8%
448790.544244829 1
1.8%
448794.031817026 1
1.8%
448868.494202235 1
1.8%
448880.518575239 1
1.8%
ValueCountFrequency (%)
451627.413501739 1
1.8%
451580.702168966 1
1.8%
451536.680876573 1
1.8%
451516.64340431 1
1.8%
451507.016072759 1
1.8%
451419.514264779 1
1.8%
451235.112307639 1
1.8%
451227.115721916 1
1.8%
451160.268443273 1
1.8%
451026.530724309 1
1.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
음반.음악영상물제작업
40 
<NA>
15 

Length

Max length11
Median length11
Mean length9.0909091
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 40
72.7%
<NA> 15
 
27.3%

Length

2024-05-11T14:47:15.537420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:15.696959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 40
72.7%
na 15
 
27.3%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
유통관련업
40 
<NA>
15 

Length

Max length5
Median length5
Mean length4.7272727
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 40
72.7%
<NA> 15
 
27.3%

Length

2024-05-11T14:47:15.850001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:15.991798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 40
72.7%
na 15
 
27.3%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-11T14:47:16.162290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:16.373176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing54
Missing (%)98.2%
Memory size572.0 B
2024-05-11T14:47:16.495057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
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 row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-05-11T14:47:16.800072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Text

MISSING 

Distinct23
Distinct (%)76.7%
Missing25
Missing (%)45.5%
Memory size572.0 B
2024-05-11T14:47:17.102170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12.5
Mean length7.7666667
Min length2

Characters and Unicode

Total characters233
Distinct characters41
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)60.0%

Sample

1st row음반.도서.출판 제조,도소매
2nd row디지털, 교육 컨텐츠
3rd row음악
4th row음반,음악영상물
5th row음반,음악 영상물
ValueCountFrequency (%)
음반 11
19.3%
뮤직비디오 8
14.0%
음악영상물 5
 
8.8%
및 5
 
8.8%
디지털음원 2
 
3.5%
등 2
 
3.5%
음악 2
 
3.5%
음반제작 2
 
3.5%
영상물 2
 
3.5%
영상제작 1
 
1.8%
Other values (17) 17
29.8%
2024-05-11T14:47:17.599519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 32
13.7%
27
 
11.6%
반 18
 
7.7%
상 13
 
5.6%
영 13
 
5.6%
디 12
 
5.2%
, 12
 
5.2%
악 10
 
4.3%
물 10
 
4.3%
직 8
 
3.4%
Other values (31) 78
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
81.5%
Space Separator 27
 
11.6%
Other Punctuation 14
 
6.0%
Uppercase Letter 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 32
16.8%
반 18
 
9.5%
상 13
 
6.8%
영 13
 
6.8%
디 12
 
6.3%
악 10
 
5.3%
물 10
 
5.3%
직 8
 
4.2%
뮤 8
 
4.2%
오 8
 
4.2%
Other values (26) 58
30.5%
Other Punctuation
ValueCountFrequency (%)
, 12
85.7%
. 2
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
81.5%
Common 41
 
17.6%
Latin 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 32
16.8%
반 18
 
9.5%
상 13
 
6.8%
영 13
 
6.8%
디 12
 
6.3%
악 10
 
5.3%
물 10
 
5.3%
직 8
 
4.2%
뮤 8
 
4.2%
오 8
 
4.2%
Other values (26) 58
30.5%
Common
ValueCountFrequency (%)
27
65.9%
, 12
29.3%
. 2
 
4.9%
Latin
ValueCountFrequency (%)
C 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
81.5%
ASCII 43
 
18.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 32
16.8%
반 18
 
9.5%
상 13
 
6.8%
영 13
 
6.8%
디 12
 
6.3%
악 10
 
5.3%
물 10
 
5.3%
직 8
 
4.2%
뮤 8
 
4.2%
오 8
 
4.2%
Other values (26) 58
30.5%
ASCII
ValueCountFrequency (%)
27
62.8%
, 12
27.9%
. 2
 
4.7%
C 1
 
2.3%
D 1
 
2.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct13
Distinct (%)92.9%
Missing41
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean88.407857
Minimum0
Maximum505.8
Zeros2
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size627.0 B
2024-05-11T14:47:17.771663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.25
median55.675
Q3109.6325
95-th percentile273.7825
Maximum505.8
Range505.8
Interquartile range (IQR)100.3825

Descriptive statistics

Standard deviation130.85019
Coefficient of variation (CV)1.4800742
Kurtosis8.9490382
Mean88.407857
Median Absolute Deviation (MAD)48.875
Skewness2.7921892
Sum1237.71
Variance17121.772
MonotonicityNot monotonic
2024-05-11T14:47:17.961251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 2
 
3.6%
78.35 1
 
1.8%
20.23 1
 
1.8%
83.95 1
 
1.8%
16.0 1
 
1.8%
505.8 1
 
1.8%
89.63 1
 
1.8%
7.0 1
 
1.8%
132.0 1
 
1.8%
33.0 1
 
1.8%
Other values (3) 3
 
5.5%
(Missing) 41
74.5%
ValueCountFrequency (%)
0.0 2
3.6%
6.6 1
1.8%
7.0 1
1.8%
16.0 1
1.8%
20.23 1
1.8%
33.0 1
1.8%
78.35 1
1.8%
83.95 1
1.8%
89.63 1
1.8%
116.3 1
1.8%
ValueCountFrequency (%)
505.8 1
1.8%
148.85 1
1.8%
132.0 1
1.8%
116.3 1
1.8%
89.63 1
1.8%
83.95 1
1.8%
78.35 1
1.8%
33.0 1
1.8%
20.23 1
1.8%
16.0 1
1.8%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
3
4
 
1

Length

Max length4
Median length4
Mean length3.7818182
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
92.7%
0 3
 
5.5%
4 1
 
1.8%

Length

2024-05-11T14:47:18.151064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:18.344903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 3
 
5.5%
4 1
 
1.8%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
3
1
 
1

Length

Max length4
Median length4
Mean length3.7818182
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
92.7%
0 3
 
5.5%
1 1
 
1.8%

Length

2024-05-11T14:47:18.547192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:18.730401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 3
 
5.5%
1 1
 
1.8%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing54
Missing (%)98.2%
Memory size572.0 B
2024-05-11T14:47:18.917347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
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 row사무실
ValueCountFrequency (%)
사무실 1
100.0%
2024-05-11T14:47:19.317102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1
33.3%
무 1
33.3%
실 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1
33.3%
무 1
33.3%
실 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1
33.3%
무 1
33.3%
실 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1
33.3%
무 1
33.3%
실 1
33.3%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-11T14:47:19.554445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:19.736591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-11T14:47:20.261009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:20.430995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-11T14:47:20.603683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:20.764878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-11T14:47:20.992699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:21.165749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size572.0 B
<NA>
51 
0
 
4

Length

Max length4
Median length4
Mean length3.7818182
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> 51
92.7%
0 4
 
7.3%

Length

2024-05-11T14:47:21.335055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:21.491238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
92.7%
0 4
 
7.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing55
Missing (%)100.0%
Memory size627.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing53
Missing (%)96.4%
Memory size572.0 B
2024-05-11T14:47:21.661452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row준주거지역
2nd row준공업지역
ValueCountFrequency (%)
준주거지역 1
50.0%
준공업지역 1
50.0%
2024-05-11T14:47:22.028393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
준 2
20.0%
지 2
20.0%
역 2
20.0%
주 1
10.0%
거 1
10.0%
공 1
10.0%
업 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
준 2
20.0%
지 2
20.0%
역 2
20.0%
주 1
10.0%
거 1
10.0%
공 1
10.0%
업 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
준 2
20.0%
지 2
20.0%
역 2
20.0%
주 1
10.0%
거 1
10.0%
공 1
10.0%
업 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
준 2
20.0%
지 2
20.0%
역 2
20.0%
주 1
10.0%
거 1
10.0%
공 1
10.0%
업 1
10.0%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03030000CDFF324106200600000120060711<NA>1영업/정상13영업중<NA><NA><NA><NA>2297-6607<NA>133845서울특별시 성동구 옥수동 ***번지 B*서울특별시 성동구 매봉길 ** (옥수동,B*)<NA>평화의 모후 선교회2006-07-11 11:44:42I2018-08-31 23:59:59.0<NA>201356.590509449591.122722음반.음악영상물제작업유통관련업<NA><NA>음반.도서.출판 제조,도소매<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13030000CDFF324106200700000120070628<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3661-1548<NA><NA>서울특별시 성동구 성수동*가 ***-**번지 *층서울특별시 성동구 서울숲*길 ** (성수동*가,*층)<NA>아이엠지테크(주)2010-06-25 09:06:58I2018-08-31 23:59:59.0<NA>203721.244257449477.877563음반.음악영상물제작업유통관련업<NA>기타디지털, 교육 컨텐츠<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>준주거지역
23030000CDFF324106201100000120110530<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-***번지 *층서울특별시 성동구 성덕정**길 ** (성수동*가,*층)<NA>MJ컴퍼니2011-05-30 17:17:59I2018-08-31 23:59:59.0<NA>204824.574211448450.766192음반.음악영상물제작업유통관련업<NA><NA>음악<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33030000CDFF324106201200000120120316<NA>3폐업3폐업20140528<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-**번지서울특별시 성동구 아차산로*길 * (성수동*가)133120대박노래기획2014-05-28 17:44:16I2018-08-31 23:59:59.0<NA>204737.554502449257.26437음반.음악영상물제작업유통관련업<NA><NA>음반,음악영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43030000CDFF324106201200000220120404<NA>3폐업3폐업20150105<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-**번지서울특별시 성동구 아차산로 ** (성수동*가)<NA>빅토리노래기획2015-01-05 15:43:01I2018-08-31 23:59:59.0<NA>204702.816505449186.088797음반.음악영상물제작업유통관련업<NA><NA>음반,음악 영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53030000CDFF324106201200000320120924<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-**번지서울특별시 성동구 성수이로*가길 ** (성수동*가)4781레드애플엔터테인먼트2012-09-24 11:49:05I2018-08-31 23:59:59.0<NA>204824.957012448868.494202음반.음악영상물제작업유통관련업<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>
63030000CDFF324106201200000420121023<NA>3폐업3폐업20171215<NA><NA><NA><NA><NA><NA>서울특별시 성동구 하왕십리동 ***-**번지 B*서울특별시 성동구 무학봉길 ** (하왕십리동, B*)4714이큐플랫2017-12-18 10:51:38I2018-08-31 23:59:59.0<NA>202714.574397451026.530724음반.음악영상물제작업유통관련업<NA><NA>음반 음악영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73030000CDFF324106201300000120121025<NA>3폐업3폐업20170328<NA><NA><NA><NA><NA><NA>서울특별시 성동구 옥수동 ***번지서울특별시 성동구 한림말*길 **, B*호 (옥수동)4735호기심스튜디오2017-03-28 11:23:18I2018-08-31 23:59:59.0<NA>201381.261391449003.64716음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83030000CDFF324106201400000120140325<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 ***-*번지서울특별시 성동구 무학로*길 **-*, B***호 (도선동, 에코하우스빌딩)4707(주)나르다엔터테인먼트2014-03-25 10:54:35I2018-08-31 23:59:59.0<NA>202766.803945451419.514265음반.음악영상물제작업유통관련업<NA><NA>뮤직비디오<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93030000CDFF324106201400000220140513<NA>3폐업3폐업20180319<NA><NA><NA><NA><NA><NA>서울특별시 성동구 마장동 ***-*번지서울특별시 성동구 마조로**길 *, ***호 (마장동, 한양빌라)4759(주) 베레스트2018-03-19 17:57:37I2018-08-31 23:59:59.0<NA>203580.752049451235.112308음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
453030000CDFF324106202200000420220713<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-**** 서울숲 L-Tower서울특별시 성동구 아차산로 **, 서울숲 L-Tower ***호 (성수동*가)4789주식회사 비주얼트랙2022-07-13 16:52:10I2021-12-06 23:05:00.0<NA>203994.65804449552.049448<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463030000CDFF324106202200000520220819<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-**** 서울숲 L-Tower서울특별시 성동구 아차산로 **, 서울숲 L-Tower ***호 (성수동*가)4789주식회사 티앤케이엔터테인먼트2022-08-19 15:02:10I2021-12-07 22:01:00.0<NA>203994.65804449552.049448<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473030000CDFF324106202200000620220922<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6014-9407<NA><NA>서울특별시 성동구 성수동*가 ***-** 규장각빌딩서울특별시 성동구 아차산로**길 **, 규장각빌딩 *층 *호 (성수동*가)4799주식회사 가딘미디어2022-09-22 11:03:28I2021-12-08 22:04:00.0<NA>205646.113813449143.065856<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483030000CDFF324106202200000720221110<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6959-3251<NA><NA>서울특별시 성동구 성수동*가 **-*** 서울숲 IT 밸리서울특별시 성동구 성수일로 **, 서울숲 IT 밸리 ***호 (성수동*가)4790(주)오네스타컴퍼니2022-11-10 16:09:49I2021-10-31 23:02:00.0<NA>204339.630103449469.505136<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493030000CDFF32410620230000012023-01-05<NA>5제외/삭제/전출15전출2024-02-08<NA><NA><NA>02-2286-7830<NA><NA>서울특별시 성동구 성수동*가 *-* 영창디지털타워서울특별시 성동구 뚝섬로*길 **, 영창디지털타워 **층 ****~****호 (성수동*가)4778메타버스엔터테인먼트 주식회사2024-02-08 09:41:03U2023-12-01 23:01:00.0<NA>204142.207514449385.562958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503030000CDFF32410620230000022023-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-**서울특별시 성동구 뚝섬로*길 **-*, *층 ****호 (성수동*가)4780시더앤사이프러스 주식회사2023-02-27 17:22:13I2022-12-03 00:01:00.0<NA>204287.426463448770.59246<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513030000CDFF32410620230000032023-07-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-567-2027<NA><NA>서울특별시 성동구 성수동*가 ***-* 삼화빌딩서울특별시 성동구 성수이로 **, 삼화빌딩 *층 ***호 (성수동*가)4781(주)에스이십칠2023-07-05 08:59:39I2022-12-07 00:07:00.0<NA>204848.023363448790.544245<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523030000CDFF32410620230000042012-09-26<NA>5제외/삭제/전출15전출2023-10-04<NA><NA><NA>02-3448-4464<NA><NA>서울특별시 성동구 성수동*가 ***-***서울특별시 성동구 성수일로*길 **, *층 에이***호 (성수동*가)4794브레이브엔터테인먼트(주)2023-10-04 13:25:49U2022-10-31 00:06:00.0<NA>204939.155836449221.773517<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533030000CDFF32410620230000052020-10-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-498-9069<NA><NA>서울특별시 성동구 성수동*가 ***-** 하우스디 세종타워서울특별시 성동구 성수일로**길 **, 하우스디 세종타워 *층 ***호 (성수동*가)4793주식회사 프리다츠2023-11-09 18:40:46I2022-10-31 23:01:00.0<NA>204607.548949449380.324793<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543030000CDFF32410620240000012024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 홍익동 ***서울특별시 성동구 무학로**길 **, *층 (홍익동)4707주식회사 일학교2024-03-11 16:16:50I2023-12-02 23:03:00.0<NA>202801.672322451516.643404<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>