Overview

Dataset statistics

Number of variables56
Number of observations134
Missing cells3763
Missing cells (%)50.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.2 KiB
Average record size in memory491.0 B

Variable types

Categorical17
Text7
DateTime3
Unsupported26
Numeric3

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17715/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (93.7%)Imbalance
영업상태코드 is highly imbalanced (50.7%)Imbalance
영업상태명 is highly imbalanced (50.7%)Imbalance
상세영업상태코드 is highly imbalanced (50.7%)Imbalance
상세영업상태명 is highly imbalanced (50.7%)Imbalance
통로너비 is highly imbalanced (88.8%)Imbalance
조명시설조도 is highly imbalanced (88.8%)Imbalance
노래방실수 is highly imbalanced (88.8%)Imbalance
청소년실수 is highly imbalanced (88.8%)Imbalance
총게임기수 is highly imbalanced (88.8%)Imbalance
폐업일자 has 107 (79.9%) missing valuesMissing
휴업시작일자 has 134 (100.0%) missing valuesMissing
휴업종료일자 has 134 (100.0%) missing valuesMissing
재개업일자 has 134 (100.0%) missing valuesMissing
전화번호 has 78 (58.2%) missing valuesMissing
소재지면적 has 134 (100.0%) missing valuesMissing
소재지우편번호 has 134 (100.0%) missing valuesMissing
도로명주소 has 7 (5.2%) missing valuesMissing
도로명우편번호 has 31 (23.1%) missing valuesMissing
업태구분명 has 134 (100.0%) missing valuesMissing
좌표정보(X) has 7 (5.2%) missing valuesMissing
좌표정보(Y) has 7 (5.2%) missing valuesMissing
문화사업자구분명 has 134 (100.0%) missing valuesMissing
주변환경명 has 134 (100.0%) missing valuesMissing
제작취급품목내용 has 134 (100.0%) missing valuesMissing
건물용도명 has 134 (100.0%) missing valuesMissing
비상계단여부 has 134 (100.0%) missing valuesMissing
비상구여부 has 134 (100.0%) missing valuesMissing
자동환기여부 has 134 (100.0%) missing valuesMissing
청소년실여부 has 134 (100.0%) missing valuesMissing
특수조명여부 has 134 (100.0%) missing valuesMissing
방음시설여부 has 134 (100.0%) missing valuesMissing
비디오재생기명 has 134 (100.0%) missing valuesMissing
조명시설유무 has 134 (100.0%) missing valuesMissing
음향시설여부 has 134 (100.0%) missing valuesMissing
편의시설여부 has 134 (100.0%) missing valuesMissing
소방시설여부 has 134 (100.0%) missing valuesMissing
기존게임업외업종명 has 134 (100.0%) missing valuesMissing
제공게임물명 has 134 (100.0%) missing valuesMissing
공연장형태구분명 has 134 (100.0%) missing valuesMissing
품목명 has 134 (100.0%) missing valuesMissing
최초등록시점 has 42 (31.3%) missing valuesMissing
지역구분명 has 134 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
문화사업자구분명 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
제작취급품목내용 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 00:29:59.194079
Analysis finished2024-05-11 00:30:01.169973
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3130000
134 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3130000 134
100.0%

Length

2024-05-11T00:30:01.500503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:01.898756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 134
100.0%

관리번호
Text

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T00:30:02.550264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2680
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

Unique134 ?
Unique (%)100.0%

Sample

1st rowCDFF5211021999000001
2nd rowCDFF5211021999000002
3rd rowCDFF5211022000000001
4th rowCDFF5211022000000002
5th rowCDFF5211022000000003
ValueCountFrequency (%)
cdff5211021999000001 1
 
0.7%
cdff5211022018000007 1
 
0.7%
cdff5211022019000011 1
 
0.7%
cdff5211022019000010 1
 
0.7%
cdff5211022019000009 1
 
0.7%
cdff5211022019000008 1
 
0.7%
cdff5211022019000007 1
 
0.7%
cdff5211022019000006 1
 
0.7%
cdff5211022019000005 1
 
0.7%
cdff5211022019000004 1
 
0.7%
Other values (124) 124
92.5%
2024-05-11T00:30:03.724820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 965
36.0%
2 474
17.7%
1 396
14.8%
F 268
 
10.0%
5 154
 
5.7%
C 134
 
5.0%
D 134
 
5.0%
3 30
 
1.1%
4 30
 
1.1%
9 27
 
1.0%
Other values (3) 68
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2144
80.0%
Uppercase Letter 536
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 965
45.0%
2 474
22.1%
1 396
18.5%
5 154
 
7.2%
3 30
 
1.4%
4 30
 
1.4%
9 27
 
1.3%
7 24
 
1.1%
8 23
 
1.1%
6 21
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
F 268
50.0%
C 134
25.0%
D 134
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2144
80.0%
Latin 536
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 965
45.0%
2 474
22.1%
1 396
18.5%
5 154
 
7.2%
3 30
 
1.4%
4 30
 
1.4%
9 27
 
1.3%
7 24
 
1.1%
8 23
 
1.1%
6 21
 
1.0%
Latin
ValueCountFrequency (%)
F 268
50.0%
C 134
25.0%
D 134
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 965
36.0%
2 474
17.7%
1 396
14.8%
F 268
 
10.0%
5 154
 
5.7%
C 134
 
5.0%
D 134
 
5.0%
3 30
 
1.1%
4 30
 
1.1%
9 27
 
1.0%
Other values (3) 68
 
2.5%

인허가일자
Date

Distinct132
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum1999-06-29 00:00:00
Maximum2024-04-15 00:00:00
2024-05-11T00:30:04.344508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:30:04.903920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
133 
20171016
 
1

Length

Max length8
Median length4
Mean length4.0298507
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 133
99.3%
20171016 1
 
0.7%

Length

2024-05-11T00:30:05.668169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:06.016072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 133
99.3%
20171016 1
 
0.7%

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
106 
3
15 
5
12 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
1 106
79.1%
3 15
 
11.2%
5 12
 
9.0%
4 1
 
0.7%

Length

2024-05-11T00:30:06.398660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:06.732929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 106
79.1%
3 15
 
11.2%
5 12
 
9.0%
4 1
 
0.7%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
106 
폐업
15 
제외/삭제/전출
12 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length5
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 106
79.1%
폐업 15
 
11.2%
제외/삭제/전출 12
 
9.0%
취소/말소/만료/정지/중지 1
 
0.7%

Length

2024-05-11T00:30:07.101217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:07.480090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 106
79.1%
폐업 15
 
11.2%
제외/삭제/전출 12
 
9.0%
취소/말소/만료/정지/중지 1
 
0.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
13
106 
3
15 
15
12 
32
 
1

Length

Max length2
Median length2
Mean length1.8880597
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
13 106
79.1%
3 15
 
11.2%
15 12
 
9.0%
32 1
 
0.7%

Length

2024-05-11T00:30:07.844698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:08.282135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 106
79.1%
3 15
 
11.2%
15 12
 
9.0%
32 1
 
0.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업중
106 
폐업
15 
전출
12 
신고취소
 
1

Length

Max length4
Median length3
Mean length2.8059701
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 106
79.1%
폐업 15
 
11.2%
전출 12
 
9.0%
신고취소 1
 
0.7%

Length

2024-05-11T00:30:08.890954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:09.277165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 106
79.1%
폐업 15
 
11.2%
전출 12
 
9.0%
신고취소 1
 
0.7%

폐업일자
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing107
Missing (%)79.9%
Memory size1.2 KiB
2024-05-11T00:30:09.822478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.6666667
Min length8

Characters and Unicode

Total characters234
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

Unique27 ?
Unique (%)100.0%

Sample

1st row20120820
2nd row20210127
3rd row20141230
4th row2023-05-31
5th row2023-03-20
ValueCountFrequency (%)
20120820 1
 
3.7%
20201229 1
 
3.7%
20230119 1
 
3.7%
2023-04-07 1
 
3.7%
20230116 1
 
3.7%
20210119 1
 
3.7%
2023-01-31 1
 
3.7%
20190219 1
 
3.7%
20191231 1
 
3.7%
20210427 1
 
3.7%
Other values (17) 17
63.0%
2024-05-11T00:30:11.022599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 63
26.9%
0 59
25.2%
1 39
16.7%
3 18
 
7.7%
- 18
 
7.7%
9 13
 
5.6%
4 8
 
3.4%
7 7
 
3.0%
6 4
 
1.7%
8 3
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 216
92.3%
Dash Punctuation 18
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 63
29.2%
0 59
27.3%
1 39
18.1%
3 18
 
8.3%
9 13
 
6.0%
4 8
 
3.7%
7 7
 
3.2%
6 4
 
1.9%
8 3
 
1.4%
5 2
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 234
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 63
26.9%
0 59
25.2%
1 39
16.7%
3 18
 
7.7%
- 18
 
7.7%
9 13
 
5.6%
4 8
 
3.4%
7 7
 
3.0%
6 4
 
1.7%
8 3
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 63
26.9%
0 59
25.2%
1 39
16.7%
3 18
 
7.7%
- 18
 
7.7%
9 13
 
5.6%
4 8
 
3.4%
7 7
 
3.0%
6 4
 
1.7%
8 3
 
1.3%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct54
Distinct (%)96.4%
Missing78
Missing (%)58.2%
Memory size1.2 KiB
2024-05-11T00:30:11.839102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.446429
Min length8

Characters and Unicode

Total characters585
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

Unique52 ?
Unique (%)92.9%

Sample

1st row02-3143-2340
2nd row701-6596
3rd row780-2211
4th row707-3272
5th row338-7853
ValueCountFrequency (%)
02-338-1007 2
 
3.6%
336-5071 2
 
3.6%
02-2105-1100 1
 
1.8%
02+-568-1317 1
 
1.8%
02-3143-2340 1
 
1.8%
02-703-0058 1
 
1.8%
02-323-4207 1
 
1.8%
02-717-9545 1
 
1.8%
02-322-1756 1
 
1.8%
070-4736-5581 1
 
1.8%
Other values (44) 44
78.6%
2024-05-11T00:30:13.133993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 100
17.1%
- 93
15.9%
2 80
13.7%
3 78
13.3%
1 49
8.4%
7 45
7.7%
6 37
 
6.3%
5 34
 
5.8%
4 27
 
4.6%
8 22
 
3.8%
Other values (2) 20
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 491
83.9%
Dash Punctuation 93
 
15.9%
Math Symbol 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 100
20.4%
2 80
16.3%
3 78
15.9%
1 49
10.0%
7 45
9.2%
6 37
 
7.5%
5 34
 
6.9%
4 27
 
5.5%
8 22
 
4.5%
9 19
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 585
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 100
17.1%
- 93
15.9%
2 80
13.7%
3 78
13.3%
1 49
8.4%
7 45
7.7%
6 37
 
6.3%
5 34
 
5.8%
4 27
 
4.6%
8 22
 
3.8%
Other values (2) 20
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 585
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 100
17.1%
- 93
15.9%
2 80
13.7%
3 78
13.3%
1 49
8.4%
7 45
7.7%
6 37
 
6.3%
5 34
 
5.8%
4 27
 
4.6%
8 22
 
3.8%
Other values (2) 20
 
3.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

지번주소
Text

Distinct110
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T00:30:13.859739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length25.835821
Min length17

Characters and Unicode

Total characters3462
Distinct characters175
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

Unique94 ?
Unique (%)70.1%

Sample

1st row서울특별시 마포구 서교동 ***-*번지 서교타워 ****호
2nd row서울시 마포구 공덕*동 **-** 서울한약협회*층
3rd row서울특별시 마포구 상수동 ***-*번지 영민빌딩*층
4th row서울시 마포구 공덕*동 ***-** 제일빌딩***호
5th row서울특별시 마포구 서교동 ***-*번지
ValueCountFrequency (%)
마포구 134
20.6%
서울특별시 132
20.3%
번지 74
11.4%
55
8.5%
상암동 38
 
5.8%
서교동 32
 
4.9%
층 19
 
2.9%
호 16
 
2.5%
동교동 12
 
1.8%
합정동 9
 
1.4%
Other values (85) 129
19.8%
2024-05-11T00:30:15.045356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 653
18.9%
601
17.4%
서 168
 
4.9%
동 150
 
4.3%
구 138
 
4.0%
마 137
 
4.0%
포 137
 
4.0%
시 136
 
3.9%
울 135
 
3.9%
특 132
 
3.8%
Other values (165) 1075
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2038
58.9%
Other Punctuation 655
 
18.9%
Space Separator 601
 
17.4%
Dash Punctuation 89
 
2.6%
Uppercase Letter 62
 
1.8%
Decimal Number 7
 
0.2%
Lowercase Letter 6
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 168
 
8.2%
동 150
 
7.4%
구 138
 
6.8%
마 137
 
6.7%
포 137
 
6.7%
시 136
 
6.7%
울 135
 
6.6%
특 132
 
6.5%
별 132
 
6.5%
지 89
 
4.4%
Other values (140) 684
33.6%
Uppercase Letter
ValueCountFrequency (%)
C 17
27.4%
D 16
25.8%
M 15
24.2%
S 6
 
9.7%
B 3
 
4.8%
K 2
 
3.2%
G 1
 
1.6%
L 1
 
1.6%
A 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
4 1
14.3%
7 1
14.3%
1 1
14.3%
9 1
14.3%
8 1
14.3%
6 1
14.3%
2 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
i 2
33.3%
t 2
33.3%
y 2
33.3%
Other Punctuation
ValueCountFrequency (%)
* 653
99.7%
, 2
 
0.3%
Space Separator
ValueCountFrequency (%)
601
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2038
58.9%
Common 1356
39.2%
Latin 68
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 168
 
8.2%
동 150
 
7.4%
구 138
 
6.8%
마 137
 
6.7%
포 137
 
6.7%
시 136
 
6.7%
울 135
 
6.6%
특 132
 
6.5%
별 132
 
6.5%
지 89
 
4.4%
Other values (140) 684
33.6%
Common
ValueCountFrequency (%)
* 653
48.2%
601
44.3%
- 89
 
6.6%
, 2
 
0.1%
( 2
 
0.1%
) 2
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
1 1
 
0.1%
9 1
 
0.1%
Other values (3) 3
 
0.2%
Latin
ValueCountFrequency (%)
C 17
25.0%
D 16
23.5%
M 15
22.1%
S 6
 
8.8%
B 3
 
4.4%
K 2
 
2.9%
i 2
 
2.9%
t 2
 
2.9%
y 2
 
2.9%
G 1
 
1.5%
Other values (2) 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2038
58.9%
ASCII 1424
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 653
45.9%
601
42.2%
- 89
 
6.2%
C 17
 
1.2%
D 16
 
1.1%
M 15
 
1.1%
S 6
 
0.4%
B 3
 
0.2%
K 2
 
0.1%
i 2
 
0.1%
Other values (15) 20
 
1.4%
Hangul
ValueCountFrequency (%)
서 168
 
8.2%
동 150
 
7.4%
구 138
 
6.8%
마 137
 
6.7%
포 137
 
6.7%
시 136
 
6.7%
울 135
 
6.6%
특 132
 
6.5%
별 132
 
6.5%
지 89
 
4.4%
Other values (140) 684
33.6%

도로명주소
Text

MISSING 

Distinct116
Distinct (%)91.3%
Missing7
Missing (%)5.2%
Memory size1.2 KiB
2024-05-11T00:30:15.910185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46
Mean length35.692913
Min length24

Characters and Unicode

Total characters4533
Distinct characters205
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)83.5%

Sample

1st row서울특별시 마포구 양화로 *** (서교동,서교타워 ****호)
2nd row서울특별시 마포구 토정로 *** (상수동,영민빌딩*층)
3rd row서울특별시 마포구 양화로**길 * (서교동)
4th row서울특별시 마포구 양화로 *** (서교동,규수당빌딩*층)
5th row서울특별시 마포구 어울마당로 ** (서교동,리채빌딩*층)
ValueCountFrequency (%)
128
15.0%
서울특별시 127
14.9%
마포구 127
14.9%
층 62
 
7.3%
호 52
 
6.1%
상암동 35
 
4.1%
서교동 22
 
2.6%
월드컵북로 19
 
2.2%
동교동 12
 
1.4%
양화로 9
 
1.1%
Other values (151) 262
30.6%
2024-05-11T00:30:17.874871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
750
 
16.5%
* 704
 
15.5%
서 163
 
3.6%
, 158
 
3.5%
동 156
 
3.4%
마 138
 
3.0%
포 136
 
3.0%
울 132
 
2.9%
) 131
 
2.9%
( 131
 
2.9%
Other values (195) 1934
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2555
56.4%
Other Punctuation 862
 
19.0%
Space Separator 750
 
16.5%
Close Punctuation 131
 
2.9%
Open Punctuation 131
 
2.9%
Uppercase Letter 60
 
1.3%
Dash Punctuation 26
 
0.6%
Decimal Number 13
 
0.3%
Lowercase Letter 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 163
 
6.4%
동 156
 
6.1%
마 138
 
5.4%
포 136
 
5.3%
울 132
 
5.2%
시 130
 
5.1%
구 129
 
5.0%
특 127
 
5.0%
별 127
 
5.0%
로 127
 
5.0%
Other values (166) 1190
46.6%
Uppercase Letter
ValueCountFrequency (%)
C 14
23.3%
D 14
23.3%
M 13
21.7%
S 6
10.0%
B 4
 
6.7%
K 3
 
5.0%
A 1
 
1.7%
T 1
 
1.7%
N 1
 
1.7%
Y 1
 
1.7%
Other values (2) 2
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
0 2
 
15.4%
3 2
 
15.4%
4 1
 
7.7%
2 1
 
7.7%
8 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
b 1
25.0%
i 1
25.0%
t 1
25.0%
y 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 704
81.7%
, 158
 
18.3%
Space Separator
ValueCountFrequency (%)
750
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2555
56.4%
Common 1914
42.2%
Latin 64
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 163
 
6.4%
동 156
 
6.1%
마 138
 
5.4%
포 136
 
5.3%
울 132
 
5.2%
시 130
 
5.1%
구 129
 
5.0%
특 127
 
5.0%
별 127
 
5.0%
로 127
 
5.0%
Other values (166) 1190
46.6%
Latin
ValueCountFrequency (%)
C 14
21.9%
D 14
21.9%
M 13
20.3%
S 6
9.4%
B 4
 
6.2%
K 3
 
4.7%
b 1
 
1.6%
i 1
 
1.6%
t 1
 
1.6%
y 1
 
1.6%
Other values (6) 6
9.4%
Common
ValueCountFrequency (%)
750
39.2%
* 704
36.8%
, 158
 
8.3%
) 131
 
6.8%
( 131
 
6.8%
- 26
 
1.4%
1 6
 
0.3%
0 2
 
0.1%
3 2
 
0.1%
4 1
 
0.1%
Other values (3) 3
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2555
56.4%
ASCII 1978
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
750
37.9%
* 704
35.6%
, 158
 
8.0%
) 131
 
6.6%
( 131
 
6.6%
- 26
 
1.3%
C 14
 
0.7%
D 14
 
0.7%
M 13
 
0.7%
S 6
 
0.3%
Other values (19) 31
 
1.6%
Hangul
ValueCountFrequency (%)
서 163
 
6.4%
동 156
 
6.1%
마 138
 
5.4%
포 136
 
5.3%
울 132
 
5.2%
시 130
 
5.1%
구 129
 
5.0%
특 127
 
5.0%
별 127
 
5.0%
로 127
 
5.0%
Other values (166) 1190
46.6%

도로명우편번호
Text

MISSING 

Distinct67
Distinct (%)65.0%
Missing31
Missing (%)23.1%
Memory size1.2 KiB
2024-05-11T00:30:18.902671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.184466
Min length5

Characters and Unicode

Total characters534
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

Unique48 ?
Unique (%)46.6%

Sample

1st row121869
2nd row121845
3rd row04185
4th row121904
5th row121904
ValueCountFrequency (%)
03908 7
 
6.8%
03925 6
 
5.8%
03993 4
 
3.9%
121904 3
 
2.9%
04029 3
 
2.9%
03995 3
 
2.9%
04048 3
 
2.9%
03909 3
 
2.9%
03924 3
 
2.9%
04036 2
 
1.9%
Other values (57) 66
64.1%
2024-05-11T00:30:20.653407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 144
27.0%
9 76
14.2%
3 65
12.2%
1 61
11.4%
4 59
11.0%
2 50
 
9.4%
8 22
 
4.1%
6 22
 
4.1%
5 21
 
3.9%
7 13
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 533
99.8%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 144
27.0%
9 76
14.3%
3 65
12.2%
1 61
11.4%
4 59
11.1%
2 50
 
9.4%
8 22
 
4.1%
6 22
 
4.1%
5 21
 
3.9%
7 13
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 534
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 144
27.0%
9 76
14.2%
3 65
12.2%
1 61
11.4%
4 59
11.0%
2 50
 
9.4%
8 22
 
4.1%
6 22
 
4.1%
5 21
 
3.9%
7 13
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 534
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 144
27.0%
9 76
14.2%
3 65
12.2%
1 61
11.4%
4 59
11.0%
2 50
 
9.4%
8 22
 
4.1%
6 22
 
4.1%
5 21
 
3.9%
7 13
 
2.4%

사업장명
Text

Distinct132
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T00:30:21.245162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length10.089552
Min length4

Characters and Unicode

Total characters1352
Distinct characters246
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)97.0%

Sample

1st row㈜이스트필름
2nd row씨네캠프엔터테인먼트
3rd row씨네코엔
4th row㈜거성월드
5th row㈜드림라이트
ValueCountFrequency (%)
주식회사 45
 
23.6%
주)케이팍스 2
 
1.0%
원스크린 2
 
1.0%
주)재담미디어 1
 
0.5%
디오리지널스 1
 
0.5%
아이엑스프라이빗에쿼티 1
 
0.5%
주)비하인드더씬컴퍼니 1
 
0.5%
슈아픽처스 1
 
0.5%
채널옥트 1
 
0.5%
테이빈엔터테인먼트 1
 
0.5%
Other values (135) 135
70.7%
2024-05-11T00:30:22.595988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 96
 
7.1%
스 62
 
4.6%
사 59
 
4.4%
57
 
4.2%
( 56
 
4.1%
) 56
 
4.1%
회 49
 
3.6%
식 47
 
3.5%
이 38
 
2.8%
트 36
 
2.7%
Other values (236) 796
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1145
84.7%
Space Separator 57
 
4.2%
Open Punctuation 56
 
4.1%
Close Punctuation 56
 
4.1%
Other Symbol 19
 
1.4%
Lowercase Letter 12
 
0.9%
Uppercase Letter 4
 
0.3%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 96
 
8.4%
스 62
 
5.4%
사 59
 
5.2%
회 49
 
4.3%
식 47
 
4.1%
이 38
 
3.3%
트 36
 
3.1%
엔 27
 
2.4%
디 26
 
2.3%
인 24
 
2.1%
Other values (216) 681
59.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
16.7%
e 2
16.7%
i 1
8.3%
n 1
8.3%
m 1
8.3%
a 1
8.3%
t 1
8.3%
s 1
8.3%
r 1
8.3%
c 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
F 1
25.0%
D 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
5 1
33.3%
0 1
33.3%
Space Separator
ValueCountFrequency (%)
57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1164
86.1%
Common 172
 
12.7%
Latin 16
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 96
 
8.2%
스 62
 
5.3%
사 59
 
5.1%
회 49
 
4.2%
식 47
 
4.0%
이 38
 
3.3%
트 36
 
3.1%
엔 27
 
2.3%
디 26
 
2.2%
인 24
 
2.1%
Other values (217) 700
60.1%
Latin
ValueCountFrequency (%)
o 2
12.5%
C 2
12.5%
e 2
12.5%
i 1
 
6.2%
n 1
 
6.2%
m 1
 
6.2%
a 1
 
6.2%
t 1
 
6.2%
s 1
 
6.2%
r 1
 
6.2%
Other values (3) 3
18.8%
Common
ValueCountFrequency (%)
57
33.1%
( 56
32.6%
) 56
32.6%
1 1
 
0.6%
5 1
 
0.6%
0 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1145
84.7%
ASCII 188
 
13.9%
None 19
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 96
 
8.4%
스 62
 
5.4%
사 59
 
5.2%
회 49
 
4.3%
식 47
 
4.1%
이 38
 
3.3%
트 36
 
3.1%
엔 27
 
2.4%
디 26
 
2.3%
인 24
 
2.1%
Other values (216) 681
59.5%
ASCII
ValueCountFrequency (%)
57
30.3%
( 56
29.8%
) 56
29.8%
o 2
 
1.1%
C 2
 
1.1%
e 2
 
1.1%
1 1
 
0.5%
i 1
 
0.5%
n 1
 
0.5%
m 1
 
0.5%
Other values (9) 9
 
4.8%
None
ValueCountFrequency (%)
㈜ 19
100.0%

최종수정일자
Date

Distinct118
Distinct (%)88.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2010-05-24 13:30:41
Maximum2024-04-24 10:39:31
2024-05-11T00:30:23.182362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:30:23.688066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
94 
U
40 

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 94
70.1%
U 40
29.9%

Length

2024-05-11T00:30:24.239504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:24.575775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 94
70.1%
u 40
29.9%

데이터갱신일자
Date

Distinct70
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:09:00
2024-05-11T00:30:24.927058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T00:30:25.330475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)80.3%
Missing7
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean192435.93
Minimum189409.4
Maximum196509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:30:25.747385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189409.4
5-th percentile190125.56
Q1190625.27
median192574.1
Q3193167.5
95-th percentile195705.92
Maximum196509
Range7099.6083
Interquartile range (IQR)2542.231

Descriptive statistics

Standard deviation1744.8081
Coefficient of variation (CV)0.009066956
Kurtosis-0.50516929
Mean192435.93
Median Absolute Deviation (MAD)947.93955
Skewness0.32508331
Sum24439363
Variance3044355.2
MonotonicityNot monotonic
2024-05-11T00:30:26.192002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
190335.496775957 5
 
3.7%
190268.350708409 4
 
3.0%
192118.944138131 4
 
3.0%
190125.564768858 3
 
2.2%
192709.558692655 3
 
2.2%
190293.979873354 3
 
2.2%
192182.365 2
 
1.5%
195564.375757848 2
 
1.5%
194655.481709453 2
 
1.5%
192802.178307689 2
 
1.5%
Other values (92) 97
72.4%
(Missing) 7
 
5.2%
ValueCountFrequency (%)
189409.395005978 1
 
0.7%
189779.165991291 1
 
0.7%
189855.433985731 2
1.5%
189954.316212248 1
 
0.7%
190020.777440717 1
 
0.7%
190125.564768858 3
2.2%
190144.892942247 2
1.5%
190182.067334395 1
 
0.7%
190204.923593825 1
 
0.7%
190221.187884898 1
 
0.7%
ValueCountFrequency (%)
196509.003264882 1
0.7%
196286.512049256 1
0.7%
196183.591468777 1
0.7%
196157.50029291 1
0.7%
196042.381344735 1
0.7%
195874.639172861 1
0.7%
195766.588069694 1
0.7%
195564.375757848 2
1.5%
195292.972627854 1
0.7%
195228.918161534 1
0.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)80.3%
Missing7
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean450810.31
Minimum448331.07
Maximum453614.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:30:26.621999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448331.07
5-th percentile449036.05
Q1449621.42
median450340.21
Q3452660.1
95-th percentile453229.39
Maximum453614.58
Range5283.5163
Interquartile range (IQR)3038.6821

Descriptive statistics

Standard deviation1465.6518
Coefficient of variation (CV)0.0032511498
Kurtosis-1.0938455
Mean450810.31
Median Absolute Deviation (MAD)840.12978
Skewness0.53898264
Sum57252909
Variance2148135.3
MonotonicityNot monotonic
2024-05-11T00:30:27.052345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
452758.642764785 5
 
3.7%
452810.742674992 4
 
3.0%
450297.896932391 4
 
3.0%
453090.149821248 3
 
2.2%
449441.952868104 3
 
2.2%
452694.976414446 3
 
2.2%
450150.59 2
 
1.5%
449186.933273231 2
 
1.5%
448854.594112514 2
 
1.5%
449599.372382293 2
 
1.5%
Other values (92) 97
72.4%
(Missing) 7
 
5.2%
ValueCountFrequency (%)
448331.067134872 1
0.7%
448644.311298762 1
0.7%
448698.169166329 1
0.7%
448854.594112514 2
1.5%
448856.564818114 1
0.7%
449015.903404686 1
0.7%
449083.060282147 1
0.7%
449083.306922623 1
0.7%
449186.933273231 2
1.5%
449203.018368683 1
0.7%
ValueCountFrequency (%)
453614.583448105 2
1.5%
453459.514085072 1
 
0.7%
453360.240306636 1
 
0.7%
453302.04990022 2
1.5%
453263.335891345 1
 
0.7%
453150.178870554 1
 
0.7%
453141.676626027 1
 
0.7%
453112.077787463 1
 
0.7%
453090.149821248 3
2.2%
453050.376274362 1
 
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영화수입업
92 
<NA>
42 

Length

Max length5
Median length5
Mean length4.6865672
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화수입업 92
68.7%
<NA> 42
31.3%

Length

2024-05-11T00:30:27.475676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:27.803780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화수입업 92
68.7%
na 42
31.3%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

총층수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
110 
0
24 

Length

Max length4
Median length4
Mean length3.4626866
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 110
82.1%
0 24
 
17.9%

Length

2024-05-11T00:30:28.259803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:28.693773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 110
82.1%
0 24
 
17.9%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

시설면적
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
110 
0
24 

Length

Max length4
Median length4
Mean length3.4626866
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 110
82.1%
0 24
 
17.9%

Length

2024-05-11T00:30:29.077718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:29.376559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 110
82.1%
0 24
 
17.9%

지상층수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
110 
0
24 

Length

Max length4
Median length4
Mean length3.4626866
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 110
82.1%
0 24
 
17.9%

Length

2024-05-11T00:30:29.812309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:30.151416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 110
82.1%
0 24
 
17.9%

지하층수
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
110 
0
24 

Length

Max length4
Median length4
Mean length3.4626866
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 110
82.1%
0 24
 
17.9%

Length

2024-05-11T00:30:30.534743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:30.915138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 110
82.1%
0 24
 
17.9%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
132 
0
 
2

Length

Max length4
Median length4
Mean length3.9552239
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> 132
98.5%
0 2
 
1.5%

Length

2024-05-11T00:30:31.291391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:31.697581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
98.5%
0 2
 
1.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
132 
0
 
2

Length

Max length4
Median length4
Mean length3.9552239
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> 132
98.5%
0 2
 
1.5%

Length

2024-05-11T00:30:32.290077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:33.154557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
98.5%
0 2
 
1.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
132 
0
 
2

Length

Max length4
Median length4
Mean length3.9552239
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> 132
98.5%
0 2
 
1.5%

Length

2024-05-11T00:30:34.030867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:34.511129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
98.5%
0 2
 
1.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
132 
0
 
2

Length

Max length4
Median length4
Mean length3.9552239
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> 132
98.5%
0 2
 
1.5%

Length

2024-05-11T00:30:35.222177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:35.594777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
98.5%
0 2
 
1.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
132 
0
 
2

Length

Max length4
Median length4
Mean length3.9552239
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> 132
98.5%
0 2
 
1.5%

Length

2024-05-11T00:30:35.925431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T00:30:36.235983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 132
98.5%
0 2
 
1.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)97.8%
Missing42
Missing (%)31.3%
Infinite0
Infinite (%)0.0%
Mean20123487
Minimum19990629
Maximum20220112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T00:30:36.802688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990629
5-th percentile20000981
Q120080890
median20140266
Q320170648
95-th percentile20190797
Maximum20220112
Range229483
Interquartile range (IQR)89757.75

Descriptive statistics

Standard deviation57515.082
Coefficient of variation (CV)0.0028581072
Kurtosis-0.44021352
Mean20123487
Median Absolute Deviation (MAD)40234.5
Skewness-0.62971836
Sum1.8513608 × 109
Variance3.3079846 × 109
MonotonicityNot monotonic
2024-05-11T00:30:37.471642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180501 2
 
1.5%
20100906 2
 
1.5%
20140121 1
 
0.7%
20140331 1
 
0.7%
20180628 1
 
0.7%
20150407 1
 
0.7%
20170623 1
 
0.7%
20171123 1
 
0.7%
20171016 1
 
0.7%
20170426 1
 
0.7%
Other values (80) 80
59.7%
(Missing) 42
31.3%
ValueCountFrequency (%)
19990629 1
0.7%
19991217 1
0.7%
20000117 1
0.7%
20000327 1
0.7%
20000803 1
0.7%
20001127 1
0.7%
20030111 1
0.7%
20030923 1
0.7%
20031223 1
0.7%
20040609 1
0.7%
ValueCountFrequency (%)
20220112 1
0.7%
20210113 1
0.7%
20200608 1
0.7%
20200221 1
0.7%
20191014 1
0.7%
20190619 1
0.7%
20190401 1
0.7%
20190315 1
0.7%
20190218 1
0.7%
20190103 1
0.7%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF521102199900000119990629<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3143-2340<NA><NA>서울특별시 마포구 서교동 ***-*번지 서교타워 ****호서울특별시 마포구 양화로 *** (서교동,서교타워 ****호)<NA>㈜이스트필름2010-05-24 13:30:41I2018-08-31 23:59:59.0<NA>192948.082935450340.20557영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990629<NA>
13130000CDFF521102199900000219991217<NA>1영업/정상13영업중<NA><NA><NA><NA>701-6596<NA><NA>서울시 마포구 공덕*동 **-** 서울한약협회*층<NA><NA>씨네캠프엔터테인먼트2010-05-24 13:30:41I2018-08-31 23:59:59.0<NA><NA><NA>영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19991217<NA>
23130000CDFF521102200000000120000117<NA>1영업/정상13영업중<NA><NA><NA><NA>780-2211<NA><NA>서울특별시 마포구 상수동 ***-*번지 영민빌딩*층서울특별시 마포구 토정로 *** (상수동,영민빌딩*층)<NA>씨네코엔2010-05-24 13:30:41I2018-08-31 23:59:59.0<NA>193348.336773449203.018369영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000117<NA>
33130000CDFF521102200000000220000327<NA>3폐업3폐업20120820<NA><NA><NA>707-3272<NA><NA>서울시 마포구 공덕*동 ***-** 제일빌딩***호<NA><NA>㈜거성월드2012-08-20 23:05:01I2018-08-31 23:59:59.0<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000327<NA>
43130000CDFF521102200000000320000803<NA>1영업/정상13영업중<NA><NA><NA><NA>338-7853<NA><NA>서울특별시 마포구 서교동 ***-*번지서울특별시 마포구 양화로**길 * (서교동)<NA>㈜드림라이트2010-05-24 13:30:42I2018-08-31 23:59:59.0<NA>192873.285964450150.375618영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000803<NA>
53130000CDFF521102200000000420001127<NA>1영업/정상13영업중<NA><NA><NA><NA>3143-3551<NA><NA>서울특별시 마포구 서교동 ***-**번지 규수당빌딩*층서울특별시 마포구 양화로 *** (서교동,규수당빌딩*층)<NA>㈜필름스코리아2010-05-24 13:30:42I2018-08-31 23:59:59.0<NA>192839.116937450119.061832영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20001127<NA>
63130000CDFF521102200300000120030111<NA>1영업/정상13영업중<NA><NA><NA><NA>336-6995<NA><NA>서울특별시 마포구 서교동 ***-***번지 리채빌딩*층서울특별시 마포구 어울마당로 ** (서교동,리채빌딩*층)<NA>㈜시네마동2010-05-24 13:30:42I2018-08-31 23:59:59.0<NA>193062.582536450142.777416영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20030111<NA>
73130000CDFF521102200300000320030923<NA>1영업/정상13영업중<NA><NA><NA><NA>3143-6636<NA><NA>서울특별시 마포구 동교동 ***-**번지서울특별시 마포구 동교로**길 ** (동교동)<NA>㈜세븐힐스2010-05-24 13:30:42I2018-08-31 23:59:59.0<NA>193023.523147450620.150886영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20030923<NA>
83130000CDFF521102200300000420031223<NA>1영업/정상13영업중<NA><NA><NA><NA>338-7070<NA><NA>서울특별시 마포구 창전동 *-***번지서울특별시 마포구 와우산로 ***-* (창전동)<NA>㈜그린울프엔터테인먼트2010-05-24 13:30:42I2018-08-31 23:59:59.0<NA>193427.526362450090.464362영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20031223<NA>
93130000CDFF521102200400000120040609<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 공덕동 *-**번지 ***호서울특별시 마포구 만리재로**길 *-* (공덕동,***호)<NA>미디어소소2010-05-24 13:30:42I2018-08-31 23:59:59.0<NA>196509.003265449756.918219영화수입업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040609<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1243130000CDFF52110220230000032014-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 ***-**서울특별시 마포구 양화로*길 ***, *층 (서교동)04048(주)마노엔터테인먼트2023-04-28 11:03:57I2022-12-03 21:00:00.0<NA>192853.62331449579.872144<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1253130000CDFF52110220230000042023-05-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 마포동 *** 나루서울특별시 마포구 마포대로 *-*, 나루 ****호 (마포동)04176샌드블럭2023-05-04 14:28:17I2022-12-05 00:07:00.0<NA>195002.716187448331.067135<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1263130000CDFF52110220230000052021-08-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 *** 메세나폴리스서울특별시 마포구 양화로 **, *층 (서교동, 메세나폴리스)04036소니픽쳐스엔터테인먼트코리아 주식회사(영업소)2023-06-12 11:32:26I2022-12-05 23:04:00.0<NA>192311.64258449855.64391<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1273130000CDFF52110220230000062023-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2146-0700<NA><NA>서울특별시 마포구 상암동 **** 상암DMC푸르지오시티, S-City서울특별시 마포구 월드컵북로**길 **, 상암DMC푸르지오시티, 에스-시티 *층 (상암동)03924(주)스카이라이프티브이2024-01-05 09:08:22U2023-12-01 00:07:00.0<NA>190144.892942453302.0499<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1283130000CDFF52110220230000072023-12-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2101-9000<NA><NA>서울특별시 마포구 상암동 **** KBS미디어센터서울특별시 마포구 매봉산로 **, KBS미디어센터 **층 (상암동)03909(주)미디어캔2023-12-14 09:03:45I2022-11-01 23:06:00.0<NA>190293.979873452694.976414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1293130000CDFF52110220240000012020-10-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** 케이지아이티센터서울특별시 마포구 월드컵북로 ***, 케이지아이티센터 ****호, ****호 (상암동)03925주식회사 원스크린2024-02-02 16:12:35I2023-12-02 00:04:00.0<NA>190125.564769453090.149821<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1303130000CDFF52110220240000022022-10-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 ***-**서울특별시 마포구 월드컵북로*길 **, **층 (동교동)03995주식회사 레드아이스엔터테인먼트2024-02-22 14:34:11I2023-12-01 22:04:00.0<NA>193031.771142450456.462819<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1313130000CDFF52110220240000032013-10-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** DMC첨단산업센터서울특별시 마포구 성암로 ***, DMC첨단산업센터 *층 ***-*호 (상암동)03920영화사올 주식회사2024-02-27 14:19:21I2023-12-01 22:09:00.0<NA>189855.433986453614.583448<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1323130000CDFF52110220240000042017-02-24<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 **** KBS미디어센터서울특별시 마포구 매봉산로 **, KBS미디어센터 **층 (상암동)03909주식회사 셀트리온엔터테인먼트2024-03-19 13:16:06I2023-12-02 22:01:00.0<NA>190293.979873452694.976414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1333130000CDFF52110220240000052024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 창전동 *-*서울특별시 마포구 서강로*길 **, *층 (창전동)04061(사)한국영상미디어교육협회2024-04-15 11:49:56I2023-12-03 23:07:00.0<NA>193835.069792450245.936589<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>