Overview

Dataset statistics

Number of variables56
Number of observations63
Missing cells1693
Missing cells (%)48.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.2 KiB
Average record size in memory491.1 B

Variable types

Categorical18
Text6
DateTime4
Unsupported24
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author강동구
URLhttps://data.seoul.go.kr/dataList/OA-17216/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
휴업시작일자 is highly imbalanced (88.2%)Imbalance
휴업종료일자 is highly imbalanced (88.2%)Imbalance
총층수 is highly imbalanced (54.6%)Imbalance
지상층수 is highly imbalanced (54.6%)Imbalance
지하층수 is highly imbalanced (54.6%)Imbalance
통로너비 is highly imbalanced (54.6%)Imbalance
조명시설조도 is highly imbalanced (54.6%)Imbalance
노래방실수 is highly imbalanced (54.6%)Imbalance
청소년실수 is highly imbalanced (54.6%)Imbalance
총게임기수 is highly imbalanced (54.6%)Imbalance
인허가취소일자 has 63 (100.0%) missing valuesMissing
폐업일자 has 48 (76.2%) missing valuesMissing
재개업일자 has 63 (100.0%) missing valuesMissing
전화번호 has 50 (79.4%) missing valuesMissing
소재지면적 has 63 (100.0%) missing valuesMissing
소재지우편번호 has 63 (100.0%) missing valuesMissing
지번주소 has 12 (19.0%) missing valuesMissing
업태구분명 has 63 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.6%) missing valuesMissing
좌표정보(Y) has 1 (1.6%) missing valuesMissing
주변환경명 has 63 (100.0%) missing valuesMissing
제작취급품목내용 has 28 (44.4%) missing valuesMissing
시설면적 has 41 (65.1%) missing valuesMissing
건물용도명 has 63 (100.0%) missing valuesMissing
비상계단여부 has 63 (100.0%) missing valuesMissing
비상구여부 has 63 (100.0%) missing valuesMissing
자동환기여부 has 63 (100.0%) missing valuesMissing
청소년실여부 has 63 (100.0%) missing valuesMissing
특수조명여부 has 63 (100.0%) missing valuesMissing
방음시설여부 has 63 (100.0%) missing valuesMissing
비디오재생기명 has 63 (100.0%) missing valuesMissing
조명시설유무 has 63 (100.0%) missing valuesMissing
음향시설여부 has 63 (100.0%) missing valuesMissing
편의시설여부 has 63 (100.0%) missing valuesMissing
소방시설여부 has 63 (100.0%) missing valuesMissing
기존게임업외업종명 has 63 (100.0%) missing valuesMissing
제공게임물명 has 63 (100.0%) missing valuesMissing
공연장형태구분명 has 63 (100.0%) missing valuesMissing
품목명 has 63 (100.0%) missing valuesMissing
최초등록시점 has 63 (100.0%) missing valuesMissing
지역구분명 has 63 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지우편번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 5 (7.9%) zerosZeros

Reproduction

Analysis started2024-05-11 03:49:56.869519
Analysis finished2024-05-11 03:49:58.608829
Duration1.74 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
3240000
63 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3240000
2nd row3240000
3rd row3240000
4th row3240000
5th row3240000

Common Values

ValueCountFrequency (%)
3240000 63
100.0%

Length

2024-05-11T03:49:58.807201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:49:59.091389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3240000 63
100.0%

관리번호
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2024-05-11T03:49:59.482355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1260
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

Unique63 ?
Unique (%)100.0%

Sample

1st rowCDFF3241092015000001
2nd rowCDFF3241092015000002
3rd rowCDFF3241092015000003
4th rowCDFF3241092015000004
5th rowCDFF3241092015000005
ValueCountFrequency (%)
cdff3241092015000001 1
 
1.6%
cdff3241092020000001 1
 
1.6%
cdff3241092020000003 1
 
1.6%
cdff3241092021000001 1
 
1.6%
cdff3241092021000002 1
 
1.6%
cdff3241092021000003 1
 
1.6%
cdff3241092021000004 1
 
1.6%
cdff3241092021000005 1
 
1.6%
cdff3241092021000006 1
 
1.6%
cdff3241092021000007 1
 
1.6%
Other values (53) 53
84.1%
2024-05-11T03:50:00.512803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 438
34.8%
2 177
14.0%
F 126
 
10.0%
1 122
 
9.7%
3 79
 
6.3%
4 71
 
5.6%
9 69
 
5.5%
C 63
 
5.0%
D 63
 
5.0%
5 22
 
1.7%
Other values (3) 30
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1008
80.0%
Uppercase Letter 252
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 438
43.5%
2 177
17.6%
1 122
 
12.1%
3 79
 
7.8%
4 71
 
7.0%
9 69
 
6.8%
5 22
 
2.2%
6 14
 
1.4%
8 9
 
0.9%
7 7
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
F 126
50.0%
C 63
25.0%
D 63
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1008
80.0%
Latin 252
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 438
43.5%
2 177
17.6%
1 122
 
12.1%
3 79
 
7.8%
4 71
 
7.0%
9 69
 
6.8%
5 22
 
2.2%
6 14
 
1.4%
8 9
 
0.9%
7 7
 
0.7%
Latin
ValueCountFrequency (%)
F 126
50.0%
C 63
25.0%
D 63
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1260
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 438
34.8%
2 177
14.0%
F 126
 
10.0%
1 122
 
9.7%
3 79
 
6.3%
4 71
 
5.6%
9 69
 
5.5%
C 63
 
5.0%
D 63
 
5.0%
5 22
 
1.7%
Other values (3) 30
 
2.4%

인허가일자
Date

Distinct54
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2015-03-10 00:00:00
Maximum2024-04-03 00:00:00
2024-05-11T03:50:00.911420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:50:01.418568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
1
47 
3
8 
5
7 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row3
2nd row1
3rd row3
4th row5
5th row3

Common Values

ValueCountFrequency (%)
1 47
74.6%
3 8
 
12.7%
5 7
 
11.1%
2 1
 
1.6%

Length

2024-05-11T03:50:01.869485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:02.253897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 47
74.6%
3 8
 
12.7%
5 7
 
11.1%
2 1
 
1.6%

영업상태명
Categorical

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
영업/정상
47 
폐업
8 
제외/삭제/전출
7 
휴업
 
1

Length

Max length8
Median length5
Mean length4.9047619
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 47
74.6%
폐업 8
 
12.7%
제외/삭제/전출 7
 
11.1%
휴업 1
 
1.6%

Length

2024-05-11T03:50:02.638158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:03.003064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 47
74.6%
폐업 8
 
12.7%
제외/삭제/전출 7
 
11.1%
휴업 1
 
1.6%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
13
47 
3
8 
15
7 
2
 
1

Length

Max length2
Median length2
Mean length1.8571429
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row3
2nd row13
3rd row3
4th row15
5th row3

Common Values

ValueCountFrequency (%)
13 47
74.6%
3 8
 
12.7%
15 7
 
11.1%
2 1
 
1.6%

Length

2024-05-11T03:50:03.448697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:03.814225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 47
74.6%
3 8
 
12.7%
15 7
 
11.1%
2 1
 
1.6%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
영업중
47 
폐업
8 
전출
7 
휴업
 
1

Length

Max length3
Median length3
Mean length2.7460317
Min length2

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 47
74.6%
폐업 8
 
12.7%
전출 7
 
11.1%
휴업 1
 
1.6%

Length

2024-05-11T03:50:04.151962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:04.484890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 47
74.6%
폐업 8
 
12.7%
전출 7
 
11.1%
휴업 1
 
1.6%

폐업일자
Date

MISSING 

Distinct14
Distinct (%)93.3%
Missing48
Missing (%)76.2%
Memory size636.0 B
Minimum2016-11-01 00:00:00
Maximum2024-01-19 00:00:00
2024-05-11T03:50:04.814308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:50:05.193786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

휴업시작일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
62 
20200623
 
1

Length

Max length8
Median length4
Mean length4.0634921
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
98.4%
20200623 1
 
1.6%

Length

2024-05-11T03:50:05.780190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:06.416362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
98.4%
20200623 1
 
1.6%

휴업종료일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
62 
20220622
 
1

Length

Max length8
Median length4
Mean length4.0634921
Min length4

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 62
98.4%
20220622 1
 
1.6%

Length

2024-05-11T03:50:07.074890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:07.794569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
98.4%
20220622 1
 
1.6%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

전화번호
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing50
Missing (%)79.4%
Memory size636.0 B
2024-05-11T03:50:09.290463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.307692
Min length9

Characters and Unicode

Total characters147
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row02-6925-0012
2nd row02-479-1416
3rd row02-477-5007
4th row02-472-2007
5th row02-482-8496
ValueCountFrequency (%)
02-6925-0012 1
 
7.1%
02-479-1416 1
 
7.1%
02-477-5007 1
 
7.1%
02-472-2007 1
 
7.1%
02-482-8496 1
 
7.1%
070-7166-7100 1
 
7.1%
070 1
 
7.1%
82204158 1
 
7.1%
1577-5769 1
 
7.1%
02-768-0168 1
 
7.1%
Other values (4) 4
28.6%
2024-05-11T03:50:10.782895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 31
21.1%
- 21
14.3%
7 20
13.6%
2 18
12.2%
4 12
 
8.2%
8 12
 
8.2%
1 10
 
6.8%
6 8
 
5.4%
5 7
 
4.8%
9 4
 
2.7%
Other values (2) 4
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 125
85.0%
Dash Punctuation 21
 
14.3%
Space Separator 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 31
24.8%
7 20
16.0%
2 18
14.4%
4 12
 
9.6%
8 12
 
9.6%
1 10
 
8.0%
6 8
 
6.4%
5 7
 
5.6%
9 4
 
3.2%
3 3
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 147
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 31
21.1%
- 21
14.3%
7 20
13.6%
2 18
12.2%
4 12
 
8.2%
8 12
 
8.2%
1 10
 
6.8%
6 8
 
5.4%
5 7
 
4.8%
9 4
 
2.7%
Other values (2) 4
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 147
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 31
21.1%
- 21
14.3%
7 20
13.6%
2 18
12.2%
4 12
 
8.2%
8 12
 
8.2%
1 10
 
6.8%
6 8
 
5.4%
5 7
 
4.8%
9 4
 
2.7%
Other values (2) 4
 
2.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

지번주소
Text

MISSING 

Distinct44
Distinct (%)86.3%
Missing12
Missing (%)19.0%
Memory size636.0 B
2024-05-11T03:50:11.560258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length25.235294
Min length17

Characters and Unicode

Total characters1287
Distinct characters96
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

Unique38 ?
Unique (%)74.5%

Sample

1st row서울특별시 강동구 길동 ***-*
2nd row서울특별시 강동구 성내동 ***-*번지
3rd row서울특별시 강동구 성내동 ***-*번지
4th row서울특별시 강동구 길동 ** 삼익파크 상가동 ***호
5th row서울특별시 강동구 길동 ***-**
ValueCountFrequency (%)
서울특별시 51
19.8%
강동구 50
19.4%
39
15.1%
성내동 18
 
7.0%
번지 12
 
4.7%
길동 11
 
4.3%
호 9
 
3.5%
천호동 8
 
3.1%
암사동 7
 
2.7%
동 6
 
2.3%
Other values (37) 47
18.2%
2024-05-11T03:50:13.034100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 248
19.3%
225
17.5%
동 112
 
8.7%
강 57
 
4.4%
시 52
 
4.0%
서 51
 
4.0%
울 51
 
4.0%
특 51
 
4.0%
별 51
 
4.0%
구 51
 
4.0%
Other values (86) 338
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 754
58.6%
Other Punctuation 248
 
19.3%
Space Separator 225
 
17.5%
Dash Punctuation 40
 
3.1%
Uppercase Letter 11
 
0.9%
Lowercase Letter 5
 
0.4%
Decimal Number 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 112
14.9%
강 57
 
7.6%
시 52
 
6.9%
서 51
 
6.8%
울 51
 
6.8%
특 51
 
6.8%
별 51
 
6.8%
구 51
 
6.8%
성 25
 
3.3%
호 19
 
2.5%
Other values (68) 234
31.0%
Uppercase Letter
ValueCountFrequency (%)
E 2
18.2%
M 2
18.2%
K 2
18.2%
P 1
9.1%
J 1
9.1%
Y 1
9.1%
C 1
9.1%
B 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
t 1
20.0%
n 1
20.0%
r 1
20.0%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
4 1
25.0%
3 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 248
100.0%
Space Separator
ValueCountFrequency (%)
225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 754
58.6%
Common 517
40.2%
Latin 16
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 112
14.9%
강 57
 
7.6%
시 52
 
6.9%
서 51
 
6.8%
울 51
 
6.8%
특 51
 
6.8%
별 51
 
6.8%
구 51
 
6.8%
성 25
 
3.3%
호 19
 
2.5%
Other values (68) 234
31.0%
Latin
ValueCountFrequency (%)
E 2
12.5%
e 2
12.5%
M 2
12.5%
K 2
12.5%
t 1
6.2%
P 1
6.2%
J 1
6.2%
Y 1
6.2%
C 1
6.2%
n 1
6.2%
Other values (2) 2
12.5%
Common
ValueCountFrequency (%)
* 248
48.0%
225
43.5%
- 40
 
7.7%
5 2
 
0.4%
4 1
 
0.2%
3 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 754
58.6%
ASCII 533
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 248
46.5%
225
42.2%
- 40
 
7.5%
5 2
 
0.4%
E 2
 
0.4%
e 2
 
0.4%
M 2
 
0.4%
K 2
 
0.4%
4 1
 
0.2%
3 1
 
0.2%
Other values (8) 8
 
1.5%
Hangul
ValueCountFrequency (%)
동 112
14.9%
강 57
 
7.6%
시 52
 
6.9%
서 51
 
6.8%
울 51
 
6.8%
특 51
 
6.8%
별 51
 
6.8%
구 51
 
6.8%
성 25
 
3.3%
호 19
 
2.5%
Other values (68) 234
31.0%

도로명주소
Text

Distinct60
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
2024-05-11T03:50:14.006739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length35.206349
Min length25

Characters and Unicode

Total characters2218
Distinct characters129
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

Unique57 ?
Unique (%)90.5%

Sample

1st row서울특별시 강동구 상암로 **, 지하*층 (암사동)
2nd row서울특별시 강동구 양재대로***길 ** (천호동)
3rd row서울특별시 강동구 양재대로***길 ** (천호동)
4th row서울특별시 강동구 양재대로***길 **-*, ***호 (길동)
5th row서울특별시 강동구 천호대로 ****, *층 ***호 (둔촌동)
ValueCountFrequency (%)
서울특별시 63
14.5%
62
14.3%
강동구 62
14.3%
호 27
 
6.2%
층 26
 
6.0%
성내동 20
 
4.6%
천호동 13
 
3.0%
길동 13
 
3.0%
암사동 9
 
2.1%
동 9
 
2.1%
Other values (84) 131
30.1%
2024-05-11T03:50:15.418676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
372
16.8%
* 367
16.5%
동 145
 
6.5%
, 76
 
3.4%
강 71
 
3.2%
구 67
 
3.0%
로 64
 
2.9%
시 64
 
2.9%
서 63
 
2.8%
울 63
 
2.8%
Other values (119) 866
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1243
56.0%
Other Punctuation 443
 
20.0%
Space Separator 372
 
16.8%
Open Punctuation 63
 
2.8%
Close Punctuation 63
 
2.8%
Uppercase Letter 13
 
0.6%
Dash Punctuation 11
 
0.5%
Lowercase Letter 5
 
0.2%
Decimal Number 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 145
 
11.7%
강 71
 
5.7%
구 67
 
5.4%
로 64
 
5.1%
시 64
 
5.1%
서 63
 
5.1%
울 63
 
5.1%
특 63
 
5.1%
별 63
 
5.1%
호 50
 
4.0%
Other values (97) 530
42.6%
Uppercase Letter
ValueCountFrequency (%)
B 3
23.1%
K 2
15.4%
E 2
15.4%
M 2
15.4%
J 1
 
7.7%
Y 1
 
7.7%
P 1
 
7.7%
C 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
40.0%
n 1
20.0%
t 1
20.0%
r 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 1
20.0%
8 1
20.0%
3 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 367
82.8%
, 76
 
17.2%
Space Separator
ValueCountFrequency (%)
372
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1243
56.0%
Common 957
43.1%
Latin 18
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 145
 
11.7%
강 71
 
5.7%
구 67
 
5.4%
로 64
 
5.1%
시 64
 
5.1%
서 63
 
5.1%
울 63
 
5.1%
특 63
 
5.1%
별 63
 
5.1%
호 50
 
4.0%
Other values (97) 530
42.6%
Latin
ValueCountFrequency (%)
B 3
16.7%
e 2
11.1%
K 2
11.1%
E 2
11.1%
M 2
11.1%
n 1
 
5.6%
J 1
 
5.6%
Y 1
 
5.6%
P 1
 
5.6%
C 1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
372
38.9%
* 367
38.3%
, 76
 
7.9%
( 63
 
6.6%
) 63
 
6.6%
- 11
 
1.1%
1 2
 
0.2%
2 1
 
0.1%
8 1
 
0.1%
3 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1243
56.0%
ASCII 975
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
372
38.2%
* 367
37.6%
, 76
 
7.8%
( 63
 
6.5%
) 63
 
6.5%
- 11
 
1.1%
B 3
 
0.3%
e 2
 
0.2%
K 2
 
0.2%
E 2
 
0.2%
Other values (12) 14
 
1.4%
Hangul
ValueCountFrequency (%)
동 145
 
11.7%
강 71
 
5.7%
구 67
 
5.4%
로 64
 
5.1%
시 64
 
5.1%
서 63
 
5.1%
울 63
 
5.1%
특 63
 
5.1%
별 63
 
5.1%
호 50
 
4.0%
Other values (97) 530
42.6%

도로명우편번호
Real number (ℝ)

Distinct48
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5341.6032
Minimum5207
Maximum6097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-05-11T03:50:16.036605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5207
5-th percentile5238.3
Q15284.5
median5341
Q35392
95-th percentile5405.8
Maximum6097
Range890
Interquartile range (IQR)107.5

Descriptive statistics

Standard deviation114.132
Coefficient of variation (CV)0.02136662
Kurtosis31.148932
Mean5341.6032
Median Absolute Deviation (MAD)52
Skewness4.6884088
Sum336521
Variance13026.114
MonotonicityNot monotonic
2024-05-11T03:50:16.491421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
5399 5
 
7.9%
5343 3
 
4.8%
5298 3
 
4.8%
5242 2
 
3.2%
5391 2
 
3.2%
5305 2
 
3.2%
5404 2
 
3.2%
5314 2
 
3.2%
5271 2
 
3.2%
5248 2
 
3.2%
Other values (38) 38
60.3%
ValueCountFrequency (%)
5207 1
1.6%
5210 1
1.6%
5236 1
1.6%
5238 1
1.6%
5241 1
1.6%
5242 2
3.2%
5245 1
1.6%
5248 2
3.2%
5251 1
1.6%
5255 1
1.6%
ValueCountFrequency (%)
6097 1
 
1.6%
5415 1
 
1.6%
5407 1
 
1.6%
5406 1
 
1.6%
5404 2
 
3.2%
5402 1
 
1.6%
5401 1
 
1.6%
5400 1
 
1.6%
5399 5
7.9%
5396 1
 
1.6%

사업장명
Text

Distinct61
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
2024-05-11T03:50:17.158426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length22
Mean length12.84127
Min length2

Characters and Unicode

Total characters809
Distinct characters170
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 (%)93.7%

Sample

1st row제이컴퍼니엔터테인먼트
2nd row주식회사 케이스타이엔티
3rd row케이스타 엔터테인먼트
4th row바림엔터테인먼트
5th row지미트 엔터테인먼트
ValueCountFrequency (%)
주식회사 19
 
17.0%
엔터테인먼트 6
 
5.4%
entertainment 4
 
3.6%
company 4
 
3.6%
이츠스타엔터테인먼트 2
 
1.8%
소울링컴퍼니(souling 2
 
1.8%
제이컴퍼니엔터테인먼트 2
 
1.8%
블럽파이브 1
 
0.9%
씨케이비브라더스 1
 
0.9%
나누미문화예술 1
 
0.9%
Other values (70) 70
62.5%
2024-05-11T03:50:18.735125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
49
 
6.1%
이 29
 
3.6%
엔 28
 
3.5%
트 28
 
3.5%
인 26
 
3.2%
주 26
 
3.2%
터 25
 
3.1%
먼 23
 
2.8%
테 22
 
2.7%
( 22
 
2.7%
Other values (160) 531
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 496
61.3%
Lowercase Letter 110
 
13.6%
Uppercase Letter 96
 
11.9%
Space Separator 49
 
6.1%
Open Punctuation 22
 
2.7%
Close Punctuation 22
 
2.7%
Decimal Number 8
 
1.0%
Other Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 29
 
5.8%
엔 28
 
5.6%
트 28
 
5.6%
인 26
 
5.2%
주 26
 
5.2%
터 25
 
5.0%
먼 23
 
4.6%
테 22
 
4.4%
사 21
 
4.2%
식 19
 
3.8%
Other values (109) 249
50.2%
Uppercase Letter
ValueCountFrequency (%)
L 10
 
10.4%
E 10
 
10.4%
O 10
 
10.4%
N 8
 
8.3%
S 6
 
6.2%
C 6
 
6.2%
M 6
 
6.2%
Y 5
 
5.2%
P 5
 
5.2%
I 5
 
5.2%
Other values (10) 25
26.0%
Lowercase Letter
ValueCountFrequency (%)
t 17
15.5%
n 16
14.5%
e 13
11.8%
o 10
9.1%
a 8
7.3%
i 7
 
6.4%
r 6
 
5.5%
m 6
 
5.5%
d 4
 
3.6%
u 4
 
3.6%
Other values (8) 19
17.3%
Decimal Number
ValueCountFrequency (%)
1 2
25.0%
5 1
12.5%
2 1
12.5%
4 1
12.5%
3 1
12.5%
0 1
12.5%
8 1
12.5%
Other Punctuation
ValueCountFrequency (%)
. 3
50.0%
, 2
33.3%
' 1
 
16.7%
Space Separator
ValueCountFrequency (%)
49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 496
61.3%
Latin 206
25.5%
Common 107
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 29
 
5.8%
엔 28
 
5.6%
트 28
 
5.6%
인 26
 
5.2%
주 26
 
5.2%
터 25
 
5.0%
먼 23
 
4.6%
테 22
 
4.4%
사 21
 
4.2%
식 19
 
3.8%
Other values (109) 249
50.2%
Latin
ValueCountFrequency (%)
t 17
 
8.3%
n 16
 
7.8%
e 13
 
6.3%
L 10
 
4.9%
o 10
 
4.9%
E 10
 
4.9%
O 10
 
4.9%
a 8
 
3.9%
N 8
 
3.9%
i 7
 
3.4%
Other values (28) 97
47.1%
Common
ValueCountFrequency (%)
49
45.8%
( 22
20.6%
) 22
20.6%
. 3
 
2.8%
, 2
 
1.9%
1 2
 
1.9%
5 1
 
0.9%
2 1
 
0.9%
' 1
 
0.9%
4 1
 
0.9%
Other values (3) 3
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 496
61.3%
ASCII 313
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
49
 
15.7%
( 22
 
7.0%
) 22
 
7.0%
t 17
 
5.4%
n 16
 
5.1%
e 13
 
4.2%
L 10
 
3.2%
o 10
 
3.2%
E 10
 
3.2%
O 10
 
3.2%
Other values (41) 134
42.8%
Hangul
ValueCountFrequency (%)
이 29
 
5.8%
엔 28
 
5.6%
트 28
 
5.6%
인 26
 
5.2%
주 26
 
5.2%
터 25
 
5.0%
먼 23
 
4.6%
테 22
 
4.4%
사 21
 
4.2%
식 19
 
3.8%
Other values (109) 249
50.2%

최종수정일자
Date

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2015-06-11 10:57:03
Maximum2024-04-03 17:20:36
2024-05-11T03:50:19.411738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:50:20.262311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
I
39 
U
24 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 39
61.9%
U 24
38.1%

Length

2024-05-11T03:50:20.811658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:21.410911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 39
61.9%
u 24
38.1%

데이터갱신일자
Date

Distinct48
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:05:00
2024-05-11T03:50:21.809826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:50:22.238833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)83.9%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean211791.75
Minimum204070.24
Maximum215672.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-05-11T03:50:22.806581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204070.24
5-th percentile210738.57
Q1211053.41
median211918.76
Q3212475.11
95-th percentile213423.6
Maximum215672.15
Range11601.909
Interquartile range (IQR)1421.7009

Descriptive statistics

Standard deviation1418.0807
Coefficient of variation (CV)0.0066956371
Kurtosis14.603587
Mean211791.75
Median Absolute Deviation (MAD)770.83428
Skewness-2.093286
Sum13131088
Variance2010952.9
MonotonicityNot monotonic
2024-05-11T03:50:23.536976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210957.149072412 3
 
4.8%
212964.062169762 3
 
4.8%
211095.890027368 2
 
3.2%
212457.577457319 2
 
3.2%
213447.791183965 2
 
3.2%
211912.282694478 2
 
3.2%
212197.189535434 2
 
3.2%
210670.369892293 2
 
3.2%
211593.934605677 1
 
1.6%
212513.411056432 1
 
1.6%
Other values (42) 42
66.7%
ValueCountFrequency (%)
204070.23835948 1
1.6%
210670.369892293 2
3.2%
210735.42696702 1
1.6%
210798.337584078 1
1.6%
210820.576958193 1
1.6%
210830.134427385 1
1.6%
210871.293674366 1
1.6%
210872.765592325 1
1.6%
210927.575645199 1
1.6%
210940.681588629 1
1.6%
ValueCountFrequency (%)
215672.146934322 1
 
1.6%
215278.711932608 1
 
1.6%
213447.791183965 2
3.2%
212964.062169762 3
4.8%
212910.082832312 1
 
1.6%
212849.374087578 1
 
1.6%
212755.661843784 1
 
1.6%
212742.813022714 1
 
1.6%
212513.411056432 1
 
1.6%
212512.092194419 1
 
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)83.9%
Missing1
Missing (%)1.6%
Infinite0
Infinite (%)0.0%
Mean448659.52
Minimum445477.41
Maximum452107.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-05-11T03:50:24.071717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum445477.41
5-th percentile447112.06
Q1447567.31
median448564.67
Q3449549.25
95-th percentile450464.57
Maximum452107.26
Range6629.85
Interquartile range (IQR)1981.9395

Descriptive statistics

Standard deviation1273.9915
Coefficient of variation (CV)0.0028395508
Kurtosis0.37634598
Mean448659.52
Median Absolute Deviation (MAD)1038.1514
Skewness0.36823886
Sum27816890
Variance1623054.4
MonotonicityNot monotonic
2024-05-11T03:50:24.737462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
447403.373365764 3
 
4.8%
449076.376269888 3
 
4.8%
449802.147686121 2
 
3.2%
449224.022384123 2
 
3.2%
449611.754754073 2
 
3.2%
447248.126116539 2
 
3.2%
449731.440169833 2
 
3.2%
447779.714780142 2
 
3.2%
448339.419070414 1
 
1.6%
449922.967425501 1
 
1.6%
Other values (42) 42
66.7%
ValueCountFrequency (%)
445477.407575316 1
1.6%
446913.918246052 1
1.6%
447009.221035868 1
1.6%
447111.380840122 1
1.6%
447124.978247751 1
1.6%
447173.564110178 1
1.6%
447182.493711744 1
1.6%
447248.126116539 2
3.2%
447290.600685056 1
1.6%
447366.096720618 1
1.6%
ValueCountFrequency (%)
452107.257532 1
1.6%
452052.025388385 1
1.6%
450858.162062295 1
1.6%
450472.374955204 1
1.6%
450316.255472825 1
1.6%
450197.892779511 1
1.6%
450190.183334421 1
1.6%
450148.690920586 1
1.6%
449922.967425501 1
1.6%
449882.440208085 1
1.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
대중문화예술기획업
35 
<NA>
28 

Length

Max length9
Median length9
Mean length6.7777778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대중문화예술기획업 35
55.6%
<NA> 28
44.4%

Length

2024-05-11T03:50:25.309651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:25.649101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대중문화예술기획업 35
55.6%
na 28
44.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
유통관련업
35 
<NA>
28 

Length

Max length5
Median length5
Mean length4.5555556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 35
55.6%
<NA> 28
44.4%

Length

2024-05-11T03:50:25.969141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:26.272448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 35
55.6%
na 28
44.4%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
57 
0
6 

Length

Max length4
Median length4
Mean length3.7142857
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> 57
90.5%
0 6
 
9.5%

Length

2024-05-11T03:50:26.619575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:26.940752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
90.5%
0 6
 
9.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

제작취급품목내용
Text

MISSING 

Distinct28
Distinct (%)80.0%
Missing28
Missing (%)44.4%
Memory size636.0 B
2024-05-11T03:50:27.280475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length24
Mean length12.971429
Min length2

Characters and Unicode

Total characters454
Distinct characters86
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)71.4%

Sample

1st row연예매니지먼트, 엔터테인먼트, 모델에이전시,행사공연기획
2nd row연예인메니지먼트업
3rd row연예인메니지먼트업
4th row연예매니지먼트, 영화/드라마제작/시나리오 발굴
5th row음반제작, 매니저업
ValueCountFrequency (%)
엔터테인먼트 11
 
15.9%
매니지먼트 6
 
8.7%
음반제작 5
 
7.2%
연예매니지먼트 3
 
4.3%
및 3
 
4.3%
매니저업 2
 
2.9%
연예인메니지먼트업 2
 
2.9%
공연기획 2
 
2.9%
배급 2
 
2.9%
뮤지션 1
 
1.4%
Other values (32) 32
46.4%
2024-05-11T03:50:27.878547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
7.5%
, 32
 
7.0%
트 30
 
6.6%
먼 28
 
6.2%
인 20
 
4.4%
연 19
 
4.2%
니 16
 
3.5%
엔 15
 
3.3%
테 15
 
3.3%
터 15
 
3.3%
Other values (76) 230
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
84.1%
Other Punctuation 36
 
7.9%
Space Separator 34
 
7.5%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 30
 
7.9%
먼 28
 
7.3%
인 20
 
5.2%
연 19
 
5.0%
니 16
 
4.2%
엔 15
 
3.9%
테 15
 
3.9%
터 15
 
3.9%
지 15
 
3.9%
매 15
 
3.9%
Other values (71) 194
50.8%
Other Punctuation
ValueCountFrequency (%)
, 32
88.9%
/ 4
 
11.1%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
84.1%
Common 72
 
15.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 30
 
7.9%
먼 28
 
7.3%
인 20
 
5.2%
연 19
 
5.0%
니 16
 
4.2%
엔 15
 
3.9%
테 15
 
3.9%
터 15
 
3.9%
지 15
 
3.9%
매 15
 
3.9%
Other values (71) 194
50.8%
Common
ValueCountFrequency (%)
34
47.2%
, 32
44.4%
/ 4
 
5.6%
) 1
 
1.4%
( 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 382
84.1%
ASCII 72
 
15.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
47.2%
, 32
44.4%
/ 4
 
5.6%
) 1
 
1.4%
( 1
 
1.4%
Hangul
ValueCountFrequency (%)
트 30
 
7.9%
먼 28
 
7.3%
인 20
 
5.2%
연 19
 
5.0%
니 16
 
4.2%
엔 15
 
3.9%
테 15
 
3.9%
터 15
 
3.9%
지 15
 
3.9%
매 15
 
3.9%
Other values (71) 194
50.8%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)72.7%
Missing41
Missing (%)65.1%
Infinite0
Infinite (%)0.0%
Mean552.64
Minimum0
Maximum10628
Zeros5
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size699.0 B
2024-05-11T03:50:28.208580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q119.5225
median85.015
Q3116.3425
95-th percentile165
Maximum10628
Range10628
Interquartile range (IQR)96.82

Descriptive statistics

Standard deviation2251.0811
Coefficient of variation (CV)4.0733228
Kurtosis21.967739
Mean552.64
Median Absolute Deviation (MAD)57.745
Skewness4.6854832
Sum12158.08
Variance5067366.2
MonotonicityNot monotonic
2024-05-11T03:50:28.612602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 5
 
7.9%
90.44 2
 
3.2%
165.0 2
 
3.2%
76.58 1
 
1.6%
30.09 1
 
1.6%
117.18 1
 
1.6%
16.0 1
 
1.6%
97.7 1
 
1.6%
157.12 1
 
1.6%
85.04 1
 
1.6%
Other values (6) 6
 
9.5%
(Missing) 41
65.1%
ValueCountFrequency (%)
0.0 5
7.9%
16.0 1
 
1.6%
30.09 1
 
1.6%
33.0 1
 
1.6%
62.09 1
 
1.6%
76.58 1
 
1.6%
84.99 1
 
1.6%
85.04 1
 
1.6%
90.44 2
 
3.2%
97.7 1
 
1.6%
ValueCountFrequency (%)
10628.0 1
1.6%
165.0 2
3.2%
157.12 1
1.6%
145.58 1
1.6%
117.18 1
1.6%
113.83 1
1.6%
97.7 1
1.6%
90.44 2
3.2%
85.04 1
1.6%
84.99 1
1.6%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
57 
0
6 

Length

Max length4
Median length4
Mean length3.7142857
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> 57
90.5%
0 6
 
9.5%

Length

2024-05-11T03:50:29.115931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:29.532810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
90.5%
0 6
 
9.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
57 
0
6 

Length

Max length4
Median length4
Mean length3.7142857
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> 57
90.5%
0 6
 
9.5%

Length

2024-05-11T03:50:29.830078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:30.070770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
90.5%
0 6
 
9.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
57 
0
6 

Length

Max length4
Median length4
Mean length3.7142857
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> 57
90.5%
0 6
 
9.5%

Length

2024-05-11T03:50:30.369310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:30.714835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
90.5%
0 6
 
9.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
57 
0
6 

Length

Max length4
Median length4
Mean length3.7142857
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> 57
90.5%
0 6
 
9.5%

Length

2024-05-11T03:50:31.150331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:31.537749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
90.5%
0 6
 
9.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
57 
0
6 

Length

Max length4
Median length4
Mean length3.7142857
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> 57
90.5%
0 6
 
9.5%

Length

2024-05-11T03:50:31.938648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:32.283945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
90.5%
0 6
 
9.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
57 
0
6 

Length

Max length4
Median length4
Mean length3.7142857
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> 57
90.5%
0 6
 
9.5%

Length

2024-05-11T03:50:32.683923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:33.016210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
90.5%
0 6
 
9.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
<NA>
57 
0
6 

Length

Max length4
Median length4
Mean length3.7142857
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> 57
90.5%
0 6
 
9.5%

Length

2024-05-11T03:50:33.395087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:50:33.771995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
90.5%
0 6
 
9.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing63
Missing (%)100.0%
Memory size699.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03240000CDFF324109201500000120150611<NA>3폐업3폐업20161101<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 상암로 **, 지하*층 (암사동)5242제이컴퍼니엔터테인먼트2016-11-01 17:25:18I2018-08-31 23:59:59.0<NA>211095.890027449802.147686대중문화예술기획업유통관련업<NA><NA>연예매니지먼트, 엔터테인먼트, 모델에이전시,행사공연기획165.0<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>
13240000CDFF324109201500000220150611<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6925-0012<NA><NA><NA>서울특별시 강동구 양재대로***길 ** (천호동)5314주식회사 케이스타이엔티2015-06-11 10:57:03I2018-08-31 23:59:59.0<NA>212457.577457449224.022384대중문화예술기획업유통관련업<NA><NA>연예인메니지먼트업90.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23240000CDFF324109201500000320150611<NA>3폐업3폐업20210610<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 양재대로***길 ** (천호동)5314케이스타 엔터테인먼트2021-06-17 09:52:21U2021-06-19 02:40:00.0<NA>212457.577457449224.022384대중문화예술기획업유통관련업<NA><NA>연예인메니지먼트업90.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33240000CDFF324109201500000420150617<NA>5제외/삭제/전출15전출20220406<NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 ***-*서울특별시 강동구 양재대로***길 **-*, ***호 (길동)5301바림엔터테인먼트2022-04-06 17:05:12U2021-12-04 00:08:00.0<NA>212849.374088448942.553176<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43240000CDFF324109201500000520150702<NA>3폐업3폐업20210903<NA><NA><NA>02-479-1416<NA><NA><NA>서울특별시 강동구 천호대로 ****, *층 ***호 (둔촌동)5360지미트 엔터테인먼트2021-09-09 09:16:17U2021-09-11 02:40:00.0<NA>212910.082832448153.815505대중문화예술기획업유통관련업<NA><NA>연예매니지먼트, 영화/드라마제작/시나리오 발굴33.0<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>
53240000CDFF32410920150000062015-07-22<NA>5제외/삭제/전출15전출2024-01-19<NA><NA><NA>02-477-5007<NA><NA><NA>서울특별시 강동구 구천면로**길 지하 **-** (천호동)5328주식회사 코리아뮤직그룹2024-01-19 16:53:22U2023-11-30 22:01:00.0<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><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63240000CDFF324109201500000720150723<NA>1영업/정상13영업중<NA><NA><NA><NA>02-472-2007<NA><NA><NA>서울특별시 강동구 강동대로 ***, *층 ***호 (성내동)5402마루엔터테인먼트2015-07-23 11:07:44I2018-08-31 23:59:59.0<NA>211109.859252447009.221036대중문화예술기획업유통관련업<NA><NA>음반제작, 매니저업97.7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73240000CDFF324109201500000820150730<NA>1영업/정상13영업중<NA><NA><NA><NA>02-482-8496<NA><NA>서울특별시 강동구 성내동 ***-*번지서울특별시 강동구 성안로 **, 지하*층 (성내동, 호원대학교 취업지원센터)5406엔터플랫폼2015-07-30 16:21:36I2018-08-31 23:59:59.0<NA>211450.632928447124.978248대중문화예술기획업유통관련업<NA><NA>영화,방송,광고,공연제작/엔터테인먼트/공연장대관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83240000CDFF324109201500000920150730<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7166-7100<NA><NA><NA>서울특별시 강동구 성안로 ***, ***호 (길동, 동명빌딩)5341SHOW PLAN(쇼플랜)2015-07-30 19:04:53I2018-08-31 23:59:59.0<NA>211979.958968448528.846363대중문화예술기획업유통관련업<NA><NA>공연기획 및 배급, 행사대행<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93240000CDFF324109201500001120150804<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 올림픽로**길 **-**, B**호 (천호동)5248민엔터테인먼트2015-08-04 21:02:06I2018-08-31 23:59:59.0<NA>210735.426967448729.109582대중문화예술기획업유통관련업<NA><NA>공연기획,이벤트,무대장치,용역,연예인대리76.58<NA><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
533240000CDFF32410920230000012023-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 성내동 ***-* 오스카빌딩서울특별시 강동구 양재대로 ****, 오스카빌딩 ***호 (성내동)5404(주)엠플라이2023-03-29 13:50:57U2022-12-04 00:01:00.0<NA>211912.282694447248.126117<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543240000CDFF32410920230000022023-06-27<NA>5제외/삭제/전출15전출2023-07-25<NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 ***-** 정산아파트 ***-***호서울특별시 강동구 고덕로 **, ***-***호 (암사동, 정산아파트)5238매니지먼트 에이원2023-07-25 14:50:09U2022-12-06 22:07:00.0<NA>211458.648093450316.255473<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553240000CDFF32410920230000032023-07-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 둔촌동 ***-* 명문아이빌서울특별시 강동구 진황도로 ***-** (둔촌동, 명문아이빌)5369예인엔터테인먼트2023-07-18 12:20:32I2022-12-06 22:00:00.0<NA>212742.813023447182.493712<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563240000CDFF32410920230000042020-04-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-**서울특별시 강동구 천중로*길 **, *층 (천호동)5245주식회사 티앤아이기획2023-07-20 13:08:36U2022-12-06 22:02:00.0<NA>210798.337584449239.10908<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573240000CDFF32410920230000052023-07-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 강일동 ** 강동리버스트*단지서울특별시 강동구 아리수로**가길 **, ***동 ***호 (강일동, 강동리버스트*단지)5415버드컴퍼니2023-07-27 18:53:42I2022-12-06 22:09:00.0<NA>215278.711933452052.025388<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583240000CDFF32410920230000062023-08-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 ***-** 재원빌딩서울특별시 강동구 구천면로**길 **, 재원빌딩 *층 (천호동)5310우리방송 주식회사2023-08-11 10:26:00I2022-12-07 23:03:00.0<NA>211957.493751449279.706197<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593240000CDFF32410920230000072023-11-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-477-8813<NA><NA>서울특별시 강동구 성내동 ***서울특별시 강동구 성내로**길 **, 일경빌딩 ***호 (성내동)5396(주)포지드필름스(FORGED FILMS Co., Ltd.)2023-11-08 14:21:40I2022-10-31 23:00:00.0<NA>211297.070605447290.600685<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603240000CDFF32410920230000082023-12-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 길동 ***-** 명성빌라서울특별시 강동구 양재대로 ****-**, ***호 (길동, 명성빌라)5343굿인포코리아2023-12-05 16:17:53I2022-11-02 00:07:00.0<NA>212469.243995448598.192601<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
613240000CDFF32410920240000012024-03-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 암사동 ***-* B*서울특별시 강동구 고덕로**길 ** (암사동)5251아이런 엔터테인먼트(IRun Entertainment)2024-03-28 08:17:17I2023-12-02 21:00:00.0<NA>211437.815395450197.89278<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
623240000CDFF32410920240000022024-04-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강동구 천호동 **-* 천호우성아파트 *동 ***호서울특별시 강동구 구천면로 ***, *동 ***호 (천호동, 천호우성아파트)5305라이처스 엔터테인먼트2024-04-03 17:20:36I2023-12-04 00:05:00.0<NA>212197.189535449731.44017<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>