Overview

Dataset statistics

Number of variables56
Number of observations51
Missing cells1417
Missing cells (%)49.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.4 KiB
Average record size in memory489.6 B

Variable types

Categorical17
Text8
DateTime4
Unsupported23
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author광진구
URLhttps://data.seoul.go.kr/dataList/OA-17806/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
지역구분명 has constant value ""Constant
영업상태코드 is highly imbalanced (55.3%)Imbalance
영업상태명 is highly imbalanced (55.3%)Imbalance
상세영업상태코드 is highly imbalanced (55.3%)Imbalance
상세영업상태명 is highly imbalanced (55.3%)Imbalance
소재지우편번호 is highly imbalanced (76.2%)Imbalance
총층수 is highly imbalanced (58.5%)Imbalance
지상층수 is highly imbalanced (58.5%)Imbalance
지하층수 is highly imbalanced (52.4%)Imbalance
인허가취소일자 has 51 (100.0%) missing valuesMissing
폐업일자 has 41 (80.4%) missing valuesMissing
휴업시작일자 has 51 (100.0%) missing valuesMissing
휴업종료일자 has 51 (100.0%) missing valuesMissing
재개업일자 has 51 (100.0%) missing valuesMissing
전화번호 has 39 (76.5%) missing valuesMissing
소재지면적 has 51 (100.0%) missing valuesMissing
도로명우편번호 has 5 (9.8%) missing valuesMissing
업태구분명 has 51 (100.0%) missing valuesMissing
주변환경명 has 50 (98.0%) missing valuesMissing
제작취급품목내용 has 20 (39.2%) missing valuesMissing
시설면적 has 39 (76.5%) missing valuesMissing
건물용도명 has 51 (100.0%) missing valuesMissing
비상계단여부 has 51 (100.0%) missing valuesMissing
비상구여부 has 51 (100.0%) missing valuesMissing
자동환기여부 has 51 (100.0%) missing valuesMissing
청소년실여부 has 51 (100.0%) missing valuesMissing
특수조명여부 has 51 (100.0%) missing valuesMissing
방음시설여부 has 51 (100.0%) missing valuesMissing
비디오재생기명 has 51 (100.0%) missing valuesMissing
조명시설유무 has 51 (100.0%) missing valuesMissing
음향시설여부 has 51 (100.0%) missing valuesMissing
편의시설여부 has 51 (100.0%) missing valuesMissing
소방시설여부 has 51 (100.0%) missing valuesMissing
기존게임업외업종명 has 51 (100.0%) missing valuesMissing
제공게임물명 has 51 (100.0%) missing valuesMissing
공연장형태구분명 has 51 (100.0%) missing valuesMissing
품목명 has 51 (100.0%) missing valuesMissing
최초등록시점 has 51 (100.0%) missing valuesMissing
지역구분명 has 50 (98.0%) missing valuesMissing
관리번호 has unique valuesUnique
도로명주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
시설면적 has 1 (2.0%) zerosZeros

Reproduction

Analysis started2024-05-11 08:23:48.456295
Analysis finished2024-05-11 08:23:49.651189
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
3040000
51 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3040000
2nd row3040000
3rd row3040000
4th row3040000
5th row3040000

Common Values

ValueCountFrequency (%)
3040000 51
100.0%

Length

2024-05-11T08:23:50.014365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:23:50.200446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3040000 51
100.0%

관리번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T08:23:50.543391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1020
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

Unique51 ?
Unique (%)100.0%

Sample

1st rowCDFF3241062000000001
2nd rowCDFF3241062006000001
3rd rowCDFF3241062007000001
4th rowCDFF3241062007000002
5th rowCDFF3241062008000001
ValueCountFrequency (%)
cdff3241062000000001 1
 
2.0%
cdff3241062020000001 1
 
2.0%
cdff3241062020000003 1
 
2.0%
cdff3241062021000001 1
 
2.0%
cdff3241062021000002 1
 
2.0%
cdff3241062021000003 1
 
2.0%
cdff3241062021000004 1
 
2.0%
cdff3241062021000005 1
 
2.0%
cdff3241062021000006 1
 
2.0%
cdff3241062021000007 1
 
2.0%
Other values (41) 41
80.4%
2024-05-11T08:23:51.312296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 367
36.0%
2 148
14.5%
F 102
 
10.0%
1 99
 
9.7%
3 66
 
6.5%
4 64
 
6.3%
6 54
 
5.3%
C 51
 
5.0%
D 51
 
5.0%
7 5
 
0.5%
Other values (3) 13
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 816
80.0%
Uppercase Letter 204
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 367
45.0%
2 148
18.1%
1 99
 
12.1%
3 66
 
8.1%
4 64
 
7.8%
6 54
 
6.6%
7 5
 
0.6%
8 5
 
0.6%
5 5
 
0.6%
9 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 102
50.0%
C 51
25.0%
D 51
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 816
80.0%
Latin 204
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 367
45.0%
2 148
18.1%
1 99
 
12.1%
3 66
 
8.1%
4 64
 
7.8%
6 54
 
6.6%
7 5
 
0.6%
8 5
 
0.6%
5 5
 
0.6%
9 3
 
0.4%
Latin
ValueCountFrequency (%)
F 102
50.0%
C 51
25.0%
D 51
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1020
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 367
36.0%
2 148
14.5%
F 102
 
10.0%
1 99
 
9.7%
3 66
 
6.5%
4 64
 
6.3%
6 54
 
5.3%
C 51
 
5.0%
D 51
 
5.0%
7 5
 
0.5%
Other values (3) 13
 
1.3%

인허가일자
Date

Distinct50
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2000-05-18 00:00:00
Maximum2024-04-01 00:00:00
2024-05-11T08:23:51.703356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:23:52.147059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
1
41 
3
8 
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
1 41
80.4%
3 8
 
15.7%
4 1
 
2.0%
5 1
 
2.0%

Length

2024-05-11T08:23:52.565814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:23:52.876156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
80.4%
3 8
 
15.7%
4 1
 
2.0%
5 1
 
2.0%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
영업/정상
41 
폐업
8 
취소/말소/만료/정지/중지
 
1
제외/삭제/전출
 
1

Length

Max length14
Median length5
Mean length4.7647059
Min length2

Unique

Unique2 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 41
80.4%
폐업 8
 
15.7%
취소/말소/만료/정지/중지 1
 
2.0%
제외/삭제/전출 1
 
2.0%

Length

2024-05-11T08:23:53.255807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:23:53.583130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 41
80.4%
폐업 8
 
15.7%
취소/말소/만료/정지/중지 1
 
2.0%
제외/삭제/전출 1
 
2.0%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
13
41 
3
8 
35
 
1
15
 
1

Length

Max length2
Median length2
Mean length1.8431373
Min length1

Unique

Unique2 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
13 41
80.4%
3 8
 
15.7%
35 1
 
2.0%
15 1
 
2.0%

Length

2024-05-11T08:23:53.944777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:23:54.155689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 41
80.4%
3 8
 
15.7%
35 1
 
2.0%
15 1
 
2.0%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
영업중
41 
폐업
8 
직권말소
 
1
전출
 
1

Length

Max length4
Median length3
Mean length2.8431373
Min length2

Unique

Unique2 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 41
80.4%
폐업 8
 
15.7%
직권말소 1
 
2.0%
전출 1
 
2.0%

Length

2024-05-11T08:23:54.467152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:23:54.731836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 41
80.4%
폐업 8
 
15.7%
직권말소 1
 
2.0%
전출 1
 
2.0%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing41
Missing (%)80.4%
Memory size540.0 B
Minimum2013-12-05 00:00:00
Maximum2024-01-25 00:00:00
2024-05-11T08:23:54.901391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:23:55.108043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

전화번호
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing39
Missing (%)76.5%
Memory size540.0 B
2024-05-11T08:23:55.377432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10.5
Mean length10.333333
Min length8

Characters and Unicode

Total characters124
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

Unique12 ?
Unique (%)100.0%

Sample

1st row452-9516
2nd row455-4963
3rd row2207-9419
4th row02-44-7411
5th row02-498-0614
ValueCountFrequency (%)
452-9516 1
8.3%
455-4963 1
8.3%
2207-9419 1
8.3%
02-44-7411 1
8.3%
02-498-0614 1
8.3%
02-6351-0130 1
8.3%
02-755-2246 1
8.3%
02-3445-8150 1
8.3%
02-2201-2761 1
8.3%
0262140071 1
8.3%
Other values (2) 2
16.7%
2024-05-11T08:23:56.243080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 19
15.3%
0 18
14.5%
4 15
12.1%
- 15
12.1%
1 15
12.1%
6 10
8.1%
5 9
7.3%
7 7
 
5.6%
8 6
 
4.8%
9 5
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 109
87.9%
Dash Punctuation 15
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 19
17.4%
0 18
16.5%
4 15
13.8%
1 15
13.8%
6 10
9.2%
5 9
8.3%
7 7
 
6.4%
8 6
 
5.5%
9 5
 
4.6%
3 5
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 124
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 19
15.3%
0 18
14.5%
4 15
12.1%
- 15
12.1%
1 15
12.1%
6 10
8.1%
5 9
7.3%
7 7
 
5.6%
8 6
 
4.8%
9 5
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 124
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 19
15.3%
0 18
14.5%
4 15
12.1%
- 15
12.1%
1 15
12.1%
6 10
8.1%
5 9
7.3%
7 7
 
5.6%
8 6
 
4.8%
9 5
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
47 
143853
 
1
143831
 
1
143849
 
1
143824
 
1

Length

Max length6
Median length4
Mean length4.1568627
Min length4

Unique

Unique4 ?
Unique (%)7.8%

Sample

1st row<NA>
2nd row<NA>
3rd row143853
4th row143831
5th row143849

Common Values

ValueCountFrequency (%)
<NA> 47
92.2%
143853 1
 
2.0%
143831 1
 
2.0%
143849 1
 
2.0%
143824 1
 
2.0%

Length

2024-05-11T08:23:56.672729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:23:56.878410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
92.2%
143853 1
 
2.0%
143831 1
 
2.0%
143849 1
 
2.0%
143824 1
 
2.0%

지번주소
Text

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T08:23:57.173859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length23.196078
Min length14

Characters and Unicode

Total characters1183
Distinct characters87
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)88.2%

Sample

1st row서울특별시 광진구 중곡동 ***-**번지 *층
2nd row서울특별시 광진구 중곡동 **-**번지 행복이가득한집 ***호
3rd row서울특별시 광진구 자양동 ***-*번지
4th row서울특별시 광진구 구의동 ***-*번지 ***
5th row서울특별시 광진구 능동 ***-*번지 나이스빌딩
ValueCountFrequency (%)
서울특별시 51
22.1%
광진구 51
22.1%
28
12.1%
번지 20
 
8.7%
자양동 12
 
5.2%
중곡동 11
 
4.8%
구의동 10
 
4.3%
화양동 6
 
2.6%
광장동 5
 
2.2%
군자동 4
 
1.7%
Other values (27) 33
14.3%
2024-05-11T08:23:57.961657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
18.1%
* 212
17.9%
구 63
 
5.3%
광 57
 
4.8%
진 52
 
4.4%
동 52
 
4.4%
서 51
 
4.3%
울 51
 
4.3%
시 51
 
4.3%
별 51
 
4.3%
Other values (77) 329
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 704
59.5%
Space Separator 214
 
18.1%
Other Punctuation 212
 
17.9%
Dash Punctuation 42
 
3.6%
Decimal Number 7
 
0.6%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 63
 
8.9%
광 57
 
8.1%
진 52
 
7.4%
동 52
 
7.4%
서 51
 
7.2%
울 51
 
7.2%
시 51
 
7.2%
별 51
 
7.2%
특 51
 
7.2%
번 20
 
2.8%
Other values (65) 205
29.1%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
2 2
28.6%
3 1
14.3%
9 1
14.3%
7 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
25.0%
B 1
25.0%
W 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
214
100.0%
Other Punctuation
ValueCountFrequency (%)
* 212
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 704
59.5%
Common 475
40.2%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 63
 
8.9%
광 57
 
8.1%
진 52
 
7.4%
동 52
 
7.4%
서 51
 
7.2%
울 51
 
7.2%
시 51
 
7.2%
별 51
 
7.2%
특 51
 
7.2%
번 20
 
2.8%
Other values (65) 205
29.1%
Common
ValueCountFrequency (%)
214
45.1%
* 212
44.6%
- 42
 
8.8%
1 2
 
0.4%
2 2
 
0.4%
3 1
 
0.2%
9 1
 
0.2%
7 1
 
0.2%
Latin
ValueCountFrequency (%)
R 1
25.0%
B 1
25.0%
W 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 704
59.5%
ASCII 479
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
44.7%
* 212
44.3%
- 42
 
8.8%
1 2
 
0.4%
2 2
 
0.4%
R 1
 
0.2%
B 1
 
0.2%
W 1
 
0.2%
3 1
 
0.2%
A 1
 
0.2%
Other values (2) 2
 
0.4%
Hangul
ValueCountFrequency (%)
구 63
 
8.9%
광 57
 
8.1%
진 52
 
7.4%
동 52
 
7.4%
서 51
 
7.2%
울 51
 
7.2%
시 51
 
7.2%
별 51
 
7.2%
특 51
 
7.2%
번 20
 
2.8%
Other values (65) 205
29.1%

도로명주소
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T08:23:58.504555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length32.058824
Min length22

Characters and Unicode

Total characters1635
Distinct characters105
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

Unique51 ?
Unique (%)100.0%

Sample

1st row서울특별시 광진구 긴고랑로**길 ** (중곡동,*층)
2nd row서울특별시 광진구 자양로**길 ***, ***호 (중곡동, 행복이가득한집)
3rd row서울특별시 광진구 자양로 *** (자양동)
4th row서울특별시 광진구 구의강변로 **-* (구의동,***)
5th row서울특별시 광진구 천호대로 *** (능동,나이스빌딩)
ValueCountFrequency (%)
서울특별시 51
15.8%
광진구 51
15.8%
50
15.5%
층 19
 
5.9%
호 14
 
4.3%
자양동 12
 
3.7%
중곡동 10
 
3.1%
구의동 9
 
2.8%
화양동 6
 
1.9%
광장동 5
 
1.5%
Other values (59) 96
29.7%
2024-05-11T08:23:59.431749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
277
16.9%
* 254
 
15.5%
구 67
 
4.1%
동 65
 
4.0%
광 61
 
3.7%
진 52
 
3.2%
로 52
 
3.2%
서 51
 
3.1%
( 51
 
3.1%
특 51
 
3.1%
Other values (95) 654
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 929
56.8%
Other Punctuation 304
 
18.6%
Space Separator 277
 
16.9%
Open Punctuation 51
 
3.1%
Close Punctuation 51
 
3.1%
Decimal Number 9
 
0.6%
Dash Punctuation 8
 
0.5%
Uppercase Letter 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 67
 
7.2%
동 65
 
7.0%
광 61
 
6.6%
진 52
 
5.6%
로 52
 
5.6%
서 51
 
5.5%
특 51
 
5.5%
별 51
 
5.5%
시 51
 
5.5%
울 51
 
5.5%
Other values (79) 377
40.6%
Decimal Number
ValueCountFrequency (%)
3 3
33.3%
2 3
33.3%
0 1
 
11.1%
4 1
 
11.1%
7 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
C 1
16.7%
W 1
16.7%
R 1
16.7%
B 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 254
83.6%
, 50
 
16.4%
Space Separator
ValueCountFrequency (%)
277
100.0%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 929
56.8%
Common 700
42.8%
Latin 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 67
 
7.2%
동 65
 
7.0%
광 61
 
6.6%
진 52
 
5.6%
로 52
 
5.6%
서 51
 
5.5%
특 51
 
5.5%
별 51
 
5.5%
시 51
 
5.5%
울 51
 
5.5%
Other values (79) 377
40.6%
Common
ValueCountFrequency (%)
277
39.6%
* 254
36.3%
( 51
 
7.3%
) 51
 
7.3%
, 50
 
7.1%
- 8
 
1.1%
3 3
 
0.4%
2 3
 
0.4%
0 1
 
0.1%
4 1
 
0.1%
Latin
ValueCountFrequency (%)
A 2
33.3%
C 1
16.7%
W 1
16.7%
R 1
16.7%
B 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 929
56.8%
ASCII 706
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
277
39.2%
* 254
36.0%
( 51
 
7.2%
) 51
 
7.2%
, 50
 
7.1%
- 8
 
1.1%
3 3
 
0.4%
2 3
 
0.4%
A 2
 
0.3%
0 1
 
0.1%
Other values (6) 6
 
0.8%
Hangul
ValueCountFrequency (%)
구 67
 
7.2%
동 65
 
7.0%
광 61
 
6.6%
진 52
 
5.6%
로 52
 
5.6%
서 51
 
5.5%
특 51
 
5.5%
별 51
 
5.5%
시 51
 
5.5%
울 51
 
5.5%
Other values (79) 377
40.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)78.3%
Missing5
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean8023.5435
Minimum4902
Maximum143873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T08:23:59.820289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4902
5-th percentile4907
Q14968.25
median4996
Q35059
95-th percentile5116
Maximum143873
Range138971
Interquartile range (IQR)90.75

Descriptive statistics

Standard deviation20475.119
Coefficient of variation (CV)2.5518798
Kurtosis45.999042
Mean8023.5435
Median Absolute Deviation (MAD)48.5
Skewness6.7822263
Sum369083
Variance4.1923048 × 108
MonotonicityNot monotonic
2024-05-11T08:24:00.225779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5116 3
 
5.9%
4969 3
 
5.9%
4921 2
 
3.9%
4995 2
 
3.9%
5012 2
 
3.9%
4992 2
 
3.9%
4968 2
 
3.9%
4907 2
 
3.9%
5026 1
 
2.0%
4994 1
 
2.0%
Other values (26) 26
51.0%
(Missing) 5
 
9.8%
ValueCountFrequency (%)
4902 1
 
2.0%
4904 1
 
2.0%
4907 2
3.9%
4909 1
 
2.0%
4921 2
3.9%
4922 1
 
2.0%
4937 1
 
2.0%
4949 1
 
2.0%
4968 2
3.9%
4969 3
5.9%
ValueCountFrequency (%)
143873 1
 
2.0%
5116 3
5.9%
5102 1
 
2.0%
5099 1
 
2.0%
5096 1
 
2.0%
5090 1
 
2.0%
5088 1
 
2.0%
5086 1
 
2.0%
5073 1
 
2.0%
5062 1
 
2.0%

사업장명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2024-05-11T08:24:00.686263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length16
Mean length8.8235294
Min length3

Characters and Unicode

Total characters450
Distinct characters151
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row주식회사 온누리시디
2nd row바리스타뮤직
3rd row클레시칸
4th row씨네마트
5th row클레식뮤테이션
ValueCountFrequency (%)
주식회사 7
 
9.6%
스튜디오 3
 
4.1%
사운드 2
 
2.7%
에이치오이엔티 1
 
1.4%
주)지엔제이 1
 
1.4%
디엔컴퍼니(dn 1
 
1.4%
company 1
 
1.4%
주)레스온 1
 
1.4%
라온스튜디오 1
 
1.4%
핑거탭레코즈 1
 
1.4%
Other values (54) 54
74.0%
2024-05-11T08:24:01.327824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
4.9%
주 20
 
4.4%
) 18
 
4.0%
( 18
 
4.0%
이 18
 
4.0%
디 13
 
2.9%
스 11
 
2.4%
트 11
 
2.4%
사 10
 
2.2%
엔 9
 
2.0%
Other values (141) 300
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
74.4%
Uppercase Letter 36
 
8.0%
Space Separator 22
 
4.9%
Lowercase Letter 20
 
4.4%
Close Punctuation 18
 
4.0%
Open Punctuation 18
 
4.0%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 20
 
6.0%
이 18
 
5.4%
디 13
 
3.9%
스 11
 
3.3%
트 11
 
3.3%
사 10
 
3.0%
엔 9
 
2.7%
뮤 8
 
2.4%
식 8
 
2.4%
라 7
 
2.1%
Other values (112) 220
65.7%
Uppercase Letter
ValueCountFrequency (%)
N 5
13.9%
T 4
11.1%
E 4
11.1%
A 4
11.1%
L 3
8.3%
O 2
 
5.6%
Y 2
 
5.6%
P 2
 
5.6%
M 2
 
5.6%
S 2
 
5.6%
Other values (4) 6
16.7%
Lowercase Letter
ValueCountFrequency (%)
a 3
15.0%
r 3
15.0%
t 3
15.0%
e 3
15.0%
i 2
10.0%
c 1
 
5.0%
v 1
 
5.0%
o 1
 
5.0%
l 1
 
5.0%
g 1
 
5.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 333
74.0%
Common 59
 
13.1%
Latin 56
 
12.4%
Han 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 20
 
6.0%
이 18
 
5.4%
디 13
 
3.9%
스 11
 
3.3%
트 11
 
3.3%
사 10
 
3.0%
엔 9
 
2.7%
뮤 8
 
2.4%
식 8
 
2.4%
라 7
 
2.1%
Other values (110) 218
65.5%
Latin
ValueCountFrequency (%)
N 5
 
8.9%
T 4
 
7.1%
E 4
 
7.1%
A 4
 
7.1%
a 3
 
5.4%
r 3
 
5.4%
L 3
 
5.4%
t 3
 
5.4%
e 3
 
5.4%
O 2
 
3.6%
Other values (15) 22
39.3%
Common
ValueCountFrequency (%)
22
37.3%
) 18
30.5%
( 18
30.5%
. 1
 
1.7%
Han
ValueCountFrequency (%)
一 1
50.0%
圓 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
74.0%
ASCII 115
 
25.6%
CJK 2
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
19.1%
) 18
15.7%
( 18
15.7%
N 5
 
4.3%
T 4
 
3.5%
E 4
 
3.5%
A 4
 
3.5%
a 3
 
2.6%
r 3
 
2.6%
L 3
 
2.6%
Other values (19) 31
27.0%
Hangul
ValueCountFrequency (%)
주 20
 
6.0%
이 18
 
5.4%
디 13
 
3.9%
스 11
 
3.3%
트 11
 
3.3%
사 10
 
3.0%
엔 9
 
2.7%
뮤 8
 
2.4%
식 8
 
2.4%
라 7
 
2.1%
Other values (110) 218
65.5%
CJK
ValueCountFrequency (%)
一 1
50.0%
圓 1
50.0%

최종수정일자
Date

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2007-06-05 14:09:25
Maximum2024-04-01 09:57:27
2024-05-11T08:24:01.728395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:24:02.195211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
I
41 
U
10 

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 41
80.4%
U 10
 
19.6%

Length

2024-05-11T08:24:02.565367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:24:02.762727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 41
80.4%
u 10
 
19.6%

데이터갱신일자
Date

Distinct33
Distinct (%)64.7%
Missing0
Missing (%)0.0%
Memory size540.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-05-11T08:24:02.957834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:24:03.207716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

좌표정보(X)
Real number (ℝ)

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207289.56
Minimum205396.73
Maximum209734.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T08:24:03.633426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum205396.73
5-th percentile205862.07
Q1206580.57
median207272.15
Q3207827.76
95-th percentile209372.41
Maximum209734.22
Range4337.4849
Interquartile range (IQR)1247.1835

Descriptive statistics

Standard deviation1010.1164
Coefficient of variation (CV)0.0048729726
Kurtosis0.39249638
Mean207289.56
Median Absolute Deviation (MAD)600.75745
Skewness0.58365681
Sum10571768
Variance1020335.1
MonotonicityNot monotonic
2024-05-11T08:24:04.036590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
209734.218553133 2
 
3.9%
206206.670693238 2
 
3.9%
205396.733681111 1
 
2.0%
207330.810960124 1
 
2.0%
209637.078215509 1
 
2.0%
206825.598900132 1
 
2.0%
209107.737007564 1
 
2.0%
207259.013441038 1
 
2.0%
207144.87324381 1
 
2.0%
207282.583034569 1
 
2.0%
Other values (39) 39
76.5%
ValueCountFrequency (%)
205396.733681111 1
2.0%
205687.675941036 1
2.0%
205692.272635389 1
2.0%
206031.860086066 1
2.0%
206032.830348206 1
2.0%
206064.885212289 1
2.0%
206150.627189563 1
2.0%
206176.274602621 1
2.0%
206206.670693238 2
3.9%
206421.292355374 1
2.0%
ValueCountFrequency (%)
209734.218553133 2
3.9%
209637.078215509 1
2.0%
209107.737007564 1
2.0%
208973.747735894 1
2.0%
208394.416382167 1
2.0%
208137.67152992 1
2.0%
208135.50744518 1
2.0%
208051.953679058 1
2.0%
208047.877995163 1
2.0%
207908.583616035 1
2.0%

좌표정보(Y)
Real number (ℝ)

Distinct49
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449492.54
Minimum447490.45
Maximum452045.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T08:24:04.390407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447490.45
5-th percentile447706.92
Q1448279.91
median449437.05
Q3450438.27
95-th percentile451578.65
Maximum452045.24
Range4554.791
Interquartile range (IQR)2158.3626

Descriptive statistics

Standard deviation1286.5141
Coefficient of variation (CV)0.0028621477
Kurtosis-1.0423769
Mean449492.54
Median Absolute Deviation (MAD)1081.3191
Skewness0.12481626
Sum22924120
Variance1655118.4
MonotonicityNot monotonic
2024-05-11T08:24:04.753294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
449933.547744527 2
 
3.9%
449197.252426961 2
 
3.9%
447933.94906617 1
 
2.0%
450970.672586595 1
 
2.0%
449832.485937903 1
 
2.0%
447640.625752012 1
 
2.0%
449437.049914321 1
 
2.0%
448563.154431644 1
 
2.0%
452045.239035622 1
 
2.0%
447512.001131933 1
 
2.0%
Other values (39) 39
76.5%
ValueCountFrequency (%)
447490.447996865 1
2.0%
447512.001131933 1
2.0%
447640.625752012 1
2.0%
447773.215918711 1
2.0%
447791.471987874 1
2.0%
447794.684181998 1
2.0%
447854.805964019 1
2.0%
447892.341548959 1
2.0%
447933.94906617 1
2.0%
447950.155460712 1
2.0%
ValueCountFrequency (%)
452045.239035622 1
2.0%
451827.0943971 1
2.0%
451592.348279748 1
2.0%
451564.949419045 1
2.0%
451332.129983547 1
2.0%
451143.023528627 1
2.0%
451016.750539629 1
2.0%
450971.915181518 1
2.0%
450970.672586595 1
2.0%
450798.613970393 1
2.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
음반.음악영상물제작업
35 
<NA>
16 

Length

Max length11
Median length11
Mean length8.8039216
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음반.음악영상물제작업 35
68.6%
<NA> 16
31.4%

Length

2024-05-11T08:24:05.006380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:24:05.210265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 35
68.6%
na 16
31.4%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
유통관련업
35 
<NA>
16 

Length

Max length5
Median length5
Mean length4.6862745
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 35
68.6%
<NA> 16
31.4%

Length

2024-05-11T08:24:05.408945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:24:05.656108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 35
68.6%
na 16
31.4%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
44 
0
6 
4
 
1

Length

Max length4
Median length4
Mean length3.5882353
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
86.3%
0 6
 
11.8%
4 1
 
2.0%

Length

2024-05-11T08:24:06.000209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:24:06.331062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
86.3%
0 6
 
11.8%
4 1
 
2.0%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing50
Missing (%)98.0%
Memory size540.0 B
2024-05-11T08:24:06.581852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters5
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row주택가주변
ValueCountFrequency (%)
주택가주변 1
100.0%
2024-05-11T08:24:07.213115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2
40.0%
택 1
20.0%
가 1
20.0%
변 1
20.0%

제작취급품목내용
Text

MISSING 

Distinct28
Distinct (%)90.3%
Missing20
Missing (%)39.2%
Memory size540.0 B
2024-05-11T08:24:07.793422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length8.4193548
Min length2

Characters and Unicode

Total characters261
Distinct characters63
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

Unique26 ?
Unique (%)83.9%

Sample

1st row음반
2nd row영화음악, 공연음반
3rd row음반 녹음 및 제작
4th row음악영상물
5th row음반, 음악 영상물
ValueCountFrequency (%)
음반 10
 
15.4%
음원 4
 
6.2%
뮤직비디오 4
 
6.2%
및 3
 
4.6%
음악영상물 3
 
4.6%
음악 3
 
4.6%
등 3
 
4.6%
제작 2
 
3.1%
cd 2
 
3.1%
영상물 2
 
3.1%
Other values (28) 29
44.6%
2024-05-11T08:24:08.407608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34
 
13.0%
음 33
 
12.6%
, 18
 
6.9%
반 17
 
6.5%
영 13
 
5.0%
상 11
 
4.2%
오 10
 
3.8%
디 9
 
3.4%
악 8
 
3.1%
물 7
 
2.7%
Other values (53) 101
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
72.4%
Space Separator 34
 
13.0%
Other Punctuation 23
 
8.8%
Uppercase Letter 9
 
3.4%
Close Punctuation 2
 
0.8%
Open Punctuation 2
 
0.8%
Lowercase Letter 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 33
17.5%
반 17
 
9.0%
영 13
 
6.9%
상 11
 
5.8%
오 10
 
5.3%
디 9
 
4.8%
악 8
 
4.2%
물 7
 
3.7%
비 5
 
2.6%
원 5
 
2.6%
Other values (43) 71
37.6%
Uppercase Letter
ValueCountFrequency (%)
D 5
55.6%
C 3
33.3%
V 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 18
78.3%
? 5
 
21.7%
Lowercase Letter
ValueCountFrequency (%)
p 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
72.4%
Common 61
 
23.4%
Latin 11
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 33
17.5%
반 17
 
9.0%
영 13
 
6.9%
상 11
 
5.8%
오 10
 
5.3%
디 9
 
4.8%
악 8
 
4.2%
물 7
 
3.7%
비 5
 
2.6%
원 5
 
2.6%
Other values (43) 71
37.6%
Common
ValueCountFrequency (%)
34
55.7%
, 18
29.5%
? 5
 
8.2%
) 2
 
3.3%
( 2
 
3.3%
Latin
ValueCountFrequency (%)
D 5
45.5%
C 3
27.3%
p 1
 
9.1%
c 1
 
9.1%
V 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
72.4%
ASCII 72
 
27.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34
47.2%
, 18
25.0%
? 5
 
6.9%
D 5
 
6.9%
C 3
 
4.2%
) 2
 
2.8%
( 2
 
2.8%
p 1
 
1.4%
c 1
 
1.4%
V 1
 
1.4%
Hangul
ValueCountFrequency (%)
음 33
17.5%
반 17
 
9.0%
영 13
 
6.9%
상 11
 
5.8%
오 10
 
5.3%
디 9
 
4.8%
악 8
 
4.2%
물 7
 
3.7%
비 5
 
2.6%
원 5
 
2.6%
Other values (43) 71
37.6%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct11
Distinct (%)91.7%
Missing39
Missing (%)76.5%
Infinite0
Infinite (%)0.0%
Mean49.585
Minimum0
Maximum197.33
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2024-05-11T08:24:08.771059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.715
Q117.58
median26.365
Q376.64
95-th percentile141.5215
Maximum197.33
Range197.33
Interquartile range (IQR)59.06

Descriptive statistics

Standard deviation56.358775
Coefficient of variation (CV)1.1366094
Kurtosis3.7547521
Mean49.585
Median Absolute Deviation (MAD)20.555
Skewness1.83022
Sum595.02
Variance3176.3115
MonotonicityNot monotonic
2024-05-11T08:24:09.226257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
20.0 2
 
3.9%
197.33 1
 
2.0%
26.0 1
 
2.0%
26.73 1
 
2.0%
95.86 1
 
2.0%
82.64 1
 
2.0%
10.32 1
 
2.0%
40.2 1
 
2.0%
0.0 1
 
2.0%
74.64 1
 
2.0%
(Missing) 39
76.5%
ValueCountFrequency (%)
0.0 1
2.0%
1.3 1
2.0%
10.32 1
2.0%
20.0 2
3.9%
26.0 1
2.0%
26.73 1
2.0%
40.2 1
2.0%
74.64 1
2.0%
82.64 1
2.0%
95.86 1
2.0%
ValueCountFrequency (%)
197.33 1
2.0%
95.86 1
2.0%
82.64 1
2.0%
74.64 1
2.0%
40.2 1
2.0%
26.73 1
2.0%
26.0 1
2.0%
20.0 2
3.9%
10.32 1
2.0%
1.3 1
2.0%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
44 
0
6 
3
 
1

Length

Max length4
Median length4
Mean length3.5882353
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
86.3%
0 6
 
11.8%
3 1
 
2.0%

Length

2024-05-11T08:24:09.620588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:24:09.940718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
86.3%
0 6
 
11.8%
3 1
 
2.0%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
43 
0
6 
1
 
2

Length

Max length4
Median length4
Mean length3.5294118
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> 43
84.3%
0 6
 
11.8%
1 2
 
3.9%

Length

2024-05-11T08:24:10.311716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:24:10.641293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
84.3%
0 6
 
11.8%
1 2
 
3.9%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

통로너비
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
45 
0
6 

Length

Max length4
Median length4
Mean length3.6470588
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> 45
88.2%
0 6
 
11.8%

Length

2024-05-11T08:24:11.044264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:24:11.368164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
88.2%
0 6
 
11.8%

조명시설조도
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
45 
0
6 

Length

Max length4
Median length4
Mean length3.6470588
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> 45
88.2%
0 6
 
11.8%

Length

2024-05-11T08:24:11.720093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:24:12.155396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
88.2%
0 6
 
11.8%

노래방실수
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
45 
0
6 

Length

Max length4
Median length4
Mean length3.6470588
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> 45
88.2%
0 6
 
11.8%

Length

2024-05-11T08:24:12.525558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:24:12.862952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
88.2%
0 6
 
11.8%

청소년실수
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
45 
0
6 

Length

Max length4
Median length4
Mean length3.6470588
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> 45
88.2%
0 6
 
11.8%

Length

2024-05-11T08:24:13.235992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:24:13.662918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
88.2%
0 6
 
11.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

총게임기수
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
45 
0
6 

Length

Max length4
Median length4
Mean length3.6470588
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> 45
88.2%
0 6
 
11.8%

Length

2024-05-11T08:24:14.037611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:24:14.337952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
88.2%
0 6
 
11.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing50
Missing (%)98.0%
Memory size540.0 B
2024-05-11T08:24:14.569797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row주거지역
ValueCountFrequency (%)
주거지역 1
100.0%
2024-05-11T08:24:15.221830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

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

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

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

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

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

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03040000CDFF324106200000000120000518<NA>3폐업3폐업20171117<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 ***-**번지 *층서울특별시 광진구 긴고랑로**길 ** (중곡동,*층)<NA>주식회사 온누리시디2017-11-17 14:10:05I2018-08-31 23:59:59.0<NA>207100.112796451016.75054음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13040000CDFF324106200600000120060302<NA>1영업/정상13영업중<NA><NA><NA><NA>452-9516<NA><NA>서울특별시 광진구 중곡동 **-**번지 행복이가득한집 ***호서울특별시 광진구 자양로**길 ***, ***호 (중곡동, 행복이가득한집)4949바리스타뮤직2015-02-11 15:43:41I2018-08-31 23:59:59.0<NA>207821.954996450547.456392음반.음악영상물제작업유통관련업<NA>주택가주변<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
23040000CDFF324106200700000120070605<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>143853서울특별시 광진구 자양동 ***-*번지서울특별시 광진구 자양로 *** (자양동)<NA>클레시칸2007-06-05 14:09:25I2018-08-31 23:59:59.0<NA>207272.149511448355.730766음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33040000CDFF324106200700000220071004<NA>1영업/정상13영업중<NA><NA><NA><NA>455-4963<NA>143831서울특별시 광진구 구의동 ***-*번지 ***서울특별시 광진구 구의강변로 **-* (구의동,***)<NA>씨네마트2007-10-04 11:49:00I2018-08-31 23:59:59.0<NA>208047.877995447892.341549음반.음악영상물제작업유통관련업<NA><NA>영화음악, 공연음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43040000CDFF324106200800000120080220<NA>1영업/정상13영업중<NA><NA><NA><NA>2207-9419<NA>143849서울특별시 광진구 능동 ***-*번지 나이스빌딩서울특별시 광진구 천호대로 *** (능동,나이스빌딩)<NA>클레식뮤테이션2008-02-20 15:11:46I2018-08-31 23:59:59.0<NA>207756.21776450076.132747음반.음악영상물제작업유통관련업<NA><NA>음반 녹음 및 제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53040000CDFF324106200800000220081024<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>143824서울특별시 광진구 구의동 ***-**번지 *층서울특별시 광진구 자양로 *** (구의동,*층)<NA>현철뮤직2008-10-24 17:41:27I2018-08-31 23:59:59.0<NA>207482.439149449177.970799음반.음악영상물제작업유통관련업4<NA>음악영상물197.3331<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63040000CDFF32410620110000012011-03-24<NA>4취소/말소/만료/정지/중지35직권말소2023-05-10<NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 ***-* *층서울특별시 광진구 능동로 *** (중곡동)4909서울녹음실2023-05-10 18:00:10U2022-12-04 23:02:00.0<NA>207269.710968451332.129984<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73040000CDFF324106201100000220111019<NA>3폐업3폐업20200409<NA><NA><NA>02-44-7411<NA><NA>서울특별시 광진구 구의동 **-*번지서울특별시 광진구 자양로 ***, *,*층 (구의동)4975(주) 리틀송(Little Song)2020-04-11 20:01:56U2020-04-14 02:40:00.0<NA>207908.583616449665.080993음반.음악영상물제작업유통관련업<NA><NA>음반, 음악 영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83040000CDFF324106201200000120110830<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 중곡동 ***-*번지서울특별시 광진구 면목로 ***-* (중곡동)4907(주)시나몬2012-07-03 14:03:55I2018-08-31 23:59:59.0<NA>207113.066419451564.949419음반.음악영상물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93040000CDFF324106201200000220120823<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 능동 ***-**번지서울특별시 광진구 능동로**길 ** (능동)4989티씨엘(TCL)2012-08-23 10:01:28I2018-08-31 23:59:59.0<NA>206940.355315450308.221396음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
413040000CDFF324106202200000420220923<NA>1영업/정상13영업중<NA><NA><NA><NA>07041688661<NA><NA>서울특별시 광진구 자양동 **-*서울특별시 광진구 자양강변길 ***, 본빌딩 *층 (자양동)5086(주)케이디지털미디어2022-09-23 17:46:37I2021-12-08 22:05:00.0<NA>205692.272635447791.471988<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
423040000CDFF32410620230000012023-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 ***-*서울특별시 광진구 광나루로 ***, *층 (구의동)5024오디션벨 주식회사2023-02-14 17:24:53I2022-12-01 23:06:00.0<NA>207396.986188449180.979504<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
433040000CDFF32410620230000022023-04-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 자양동 ***-**서울특별시 광진구 뚝섬로**길 **-*, 지하*층 (자양동)5090메이커 스튜디오2023-04-21 17:40:19I2022-12-03 22:03:00.0<NA>206150.62719447794.684182<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
443040000CDFF32410620230000042012-09-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 능동 ***-*서울특별시 광진구 천호대로 ***, *층 (능동)4987브레이브엔터테인먼트(주)2023-10-05 10:02:56I2022-10-31 00:07:00.0<NA>207447.364228450262.687113<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453040000CDFF32410620240000012021-02-15<NA>1영업/정상13영업중<NA><NA><NA><NA>0221382874<NA><NA>서울특별시 광진구 자양동 *-* 더 라움 펜트하우스서울특별시 광진구 능동로 **, 더 라움 펜트하우스 *층 ***호 (자양동)5073(주)루나르트2024-01-04 13:58:35I2023-12-01 00:06:00.0<NA>206064.885212448477.114781<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463040000CDFF32410620240000022024-02-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 **-**서울특별시 광진구 천호대로***길 **, *층 (구의동)4992플레이어스 엔터테인먼트(PLAYERS ENTERTAINMENT)2024-02-05 14:07:33I2023-12-02 00:07:00.0<NA>207833.560083449732.823003<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473040000CDFF32410620240000032024-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 구의동 ***-*서울특별시 광진구 아차산로 ***, *층 (구의동)5046언디파인드엔터테인먼트 주식회사2024-03-07 15:01:42I2023-12-03 00:09:00.0<NA>208137.67153448603.581459<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483040000CDFF32410620240000042024-03-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 광진구 화양동 ***-**서울특별시 광진구 능동로**길 **-*, ***호 (화양동)5009더즐더즐 필름2024-03-22 17:30:56I2023-12-02 22:04:00.0<NA>206176.274603449414.211615<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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