Overview

Dataset statistics

Number of variables56
Number of observations60
Missing cells1717
Missing cells (%)51.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.7 KiB
Average record size in memory490.2 B

Variable types

Categorical16
Text7
DateTime4
Unsupported24
Numeric5

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
Author동작구
URLhttps://data.seoul.go.kr/dataList/OA-17821/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
지역구분명 has constant value ""Constant
총층수 is highly imbalanced (71.4%)Imbalance
지상층수 is highly imbalanced (73.6%)Imbalance
지하층수 is highly imbalanced (68.8%)Imbalance
통로너비 is highly imbalanced (71.4%)Imbalance
조명시설조도 is highly imbalanced (71.4%)Imbalance
노래방실수 is highly imbalanced (71.4%)Imbalance
청소년실수 is highly imbalanced (71.4%)Imbalance
총게임기수 is highly imbalanced (71.4%)Imbalance
인허가취소일자 has 60 (100.0%) missing valuesMissing
폐업일자 has 41 (68.3%) missing valuesMissing
휴업시작일자 has 60 (100.0%) missing valuesMissing
휴업종료일자 has 60 (100.0%) missing valuesMissing
재개업일자 has 60 (100.0%) missing valuesMissing
전화번호 has 44 (73.3%) missing valuesMissing
소재지면적 has 60 (100.0%) missing valuesMissing
소재지우편번호 has 49 (81.7%) missing valuesMissing
도로명주소 has 1 (1.7%) missing valuesMissing
도로명우편번호 has 18 (30.0%) missing valuesMissing
업태구분명 has 60 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.7%) missing valuesMissing
좌표정보(Y) has 1 (1.7%) missing valuesMissing
주변환경명 has 60 (100.0%) missing valuesMissing
제작취급품목내용 has 22 (36.7%) missing valuesMissing
시설면적 has 41 (68.3%) missing valuesMissing
건물용도명 has 60 (100.0%) missing valuesMissing
비상계단여부 has 60 (100.0%) missing valuesMissing
비상구여부 has 60 (100.0%) missing valuesMissing
자동환기여부 has 60 (100.0%) missing valuesMissing
청소년실여부 has 60 (100.0%) missing valuesMissing
특수조명여부 has 60 (100.0%) missing valuesMissing
방음시설여부 has 60 (100.0%) missing valuesMissing
비디오재생기명 has 60 (100.0%) missing valuesMissing
조명시설유무 has 60 (100.0%) missing valuesMissing
음향시설여부 has 60 (100.0%) missing valuesMissing
편의시설여부 has 60 (100.0%) missing valuesMissing
소방시설여부 has 60 (100.0%) missing valuesMissing
기존게임업외업종명 has 60 (100.0%) missing valuesMissing
제공게임물명 has 60 (100.0%) missing valuesMissing
공연장형태구분명 has 60 (100.0%) missing valuesMissing
품목명 has 60 (100.0%) missing valuesMissing
최초등록시점 has 60 (100.0%) missing valuesMissing
지역구분명 has 59 (98.3%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 3 (5.0%) zerosZeros

Reproduction

Analysis started2024-05-11 06:36:15.231679
Analysis finished2024-05-11 06:36:16.555258
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
3190000
60 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3190000
2nd row3190000
3rd row3190000
4th row3190000
5th row3190000

Common Values

ValueCountFrequency (%)
3190000 60
100.0%

Length

2024-05-11T06:36:16.793346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:17.112002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3190000 60
100.0%

관리번호
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T06:36:17.617514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1200
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

Unique60 ?
Unique (%)100.0%

Sample

1st rowCDFF3241062000000001
2nd rowCDFF3241062000000002
3rd rowCDFF3241062002000001
4th rowCDFF3241062002000002
5th rowCDFF3241062004000001
ValueCountFrequency (%)
cdff3241062000000001 1
 
1.7%
cdff3241062000000002 1
 
1.7%
cdff3241062020000004 1
 
1.7%
cdff3241062016000002 1
 
1.7%
cdff3241062017000001 1
 
1.7%
cdff3241062017000002 1
 
1.7%
cdff3241062017000003 1
 
1.7%
cdff3241062018000001 1
 
1.7%
cdff3241062018000002 1
 
1.7%
cdff3241062019000001 1
 
1.7%
Other values (50) 50
83.3%
2024-05-11T06:36:18.554359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 445
37.1%
2 166
 
13.8%
F 120
 
10.0%
1 107
 
8.9%
3 81
 
6.8%
4 72
 
6.0%
6 65
 
5.4%
C 60
 
5.0%
D 60
 
5.0%
9 8
 
0.7%
Other values (3) 16
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 960
80.0%
Uppercase Letter 240
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 445
46.4%
2 166
 
17.3%
1 107
 
11.1%
3 81
 
8.4%
4 72
 
7.5%
6 65
 
6.8%
9 8
 
0.8%
8 7
 
0.7%
7 5
 
0.5%
5 4
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 120
50.0%
C 60
25.0%
D 60
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 960
80.0%
Latin 240
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 445
46.4%
2 166
 
17.3%
1 107
 
11.1%
3 81
 
8.4%
4 72
 
7.5%
6 65
 
6.8%
9 8
 
0.8%
8 7
 
0.7%
7 5
 
0.5%
5 4
 
0.4%
Latin
ValueCountFrequency (%)
F 120
50.0%
C 60
25.0%
D 60
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 445
37.1%
2 166
 
13.8%
F 120
 
10.0%
1 107
 
8.9%
3 81
 
6.8%
4 72
 
6.0%
6 65
 
5.4%
C 60
 
5.0%
D 60
 
5.0%
9 8
 
0.7%
Other values (3) 16
 
1.3%

인허가일자
Date

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2000-05-08 00:00:00
Maximum2023-11-21 00:00:00
2024-05-11T06:36:18.977379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:36:19.405976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
1
40 
3
16 
5
 
3
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row3
2nd row4
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 40
66.7%
3 16
 
26.7%
5 3
 
5.0%
4 1
 
1.7%

Length

2024-05-11T06:36:19.823481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:20.120215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 40
66.7%
3 16
 
26.7%
5 3
 
5.0%
4 1
 
1.7%

영업상태명
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
영업/정상
40 
폐업
16 
제외/삭제/전출
 
3
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.5
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 40
66.7%
폐업 16
 
26.7%
제외/삭제/전출 3
 
5.0%
취소/말소/만료/정지/중지 1
 
1.7%

Length

2024-05-11T06:36:20.491885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:20.857832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 40
66.7%
폐업 16
 
26.7%
제외/삭제/전출 3
 
5.0%
취소/말소/만료/정지/중지 1
 
1.7%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
13
40 
3
16 
15
 
3
35
 
1

Length

Max length2
Median length2
Mean length1.7333333
Min length1

Unique

Unique1 ?
Unique (%)1.7%

Sample

1st row3
2nd row35
3rd row3
4th row3
5th row13

Common Values

ValueCountFrequency (%)
13 40
66.7%
3 16
 
26.7%
15 3
 
5.0%
35 1
 
1.7%

Length

2024-05-11T06:36:21.328353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:21.689961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 40
66.7%
3 16
 
26.7%
15 3
 
5.0%
35 1
 
1.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
영업중
40 
폐업
16 
전출
 
3
직권말소
 
1

Length

Max length4
Median length3
Mean length2.7
Min length2

Unique

Unique1 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 40
66.7%
폐업 16
 
26.7%
전출 3
 
5.0%
직권말소 1
 
1.7%

Length

2024-05-11T06:36:22.158426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:22.608737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 40
66.7%
폐업 16
 
26.7%
전출 3
 
5.0%
직권말소 1
 
1.7%

폐업일자
Date

MISSING 

Distinct19
Distinct (%)100.0%
Missing41
Missing (%)68.3%
Memory size612.0 B
Minimum2007-02-27 00:00:00
Maximum2023-10-05 00:00:00
2024-05-11T06:36:23.213348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:36:23.659628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

전화번호
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing44
Missing (%)73.3%
Memory size612.0 B
2024-05-11T06:36:24.355682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length9.75
Min length7

Characters and Unicode

Total characters156
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

Unique16 ?
Unique (%)100.0%

Sample

1st row7747409
2nd row825-9113
3rd row812-1445
4th row02-825-1866
5th row821-5235
ValueCountFrequency (%)
7747409 1
 
6.2%
825-9113 1
 
6.2%
812-1445 1
 
6.2%
02-825-1866 1
 
6.2%
821-5235 1
 
6.2%
816-0980 1
 
6.2%
6082-9400 1
 
6.2%
070-7591-8610 1
 
6.2%
813-1935 1
 
6.2%
816-0600 1
 
6.2%
Other values (6) 6
37.5%
2024-05-11T06:36:25.900170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24
15.4%
- 20
12.8%
7 17
10.9%
2 17
10.9%
1 16
10.3%
8 13
8.3%
4 12
7.7%
3 10
6.4%
6 10
6.4%
5 9
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 136
87.2%
Dash Punctuation 20
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
17.6%
7 17
12.5%
2 17
12.5%
1 16
11.8%
8 13
9.6%
4 12
8.8%
3 10
7.4%
6 10
7.4%
5 9
 
6.6%
9 8
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 156
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24
15.4%
- 20
12.8%
7 17
10.9%
2 17
10.9%
1 16
10.3%
8 13
8.3%
4 12
7.7%
3 10
6.4%
6 10
6.4%
5 9
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24
15.4%
- 20
12.8%
7 17
10.9%
2 17
10.9%
1 16
10.3%
8 13
8.3%
4 12
7.7%
3 10
6.4%
6 10
6.4%
5 9
 
5.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)81.8%
Missing49
Missing (%)81.7%
Infinite0
Infinite (%)0.0%
Mean156752.09
Minimum156080
Maximum156863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T06:36:26.446534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum156080
5-th percentile156440
Q1156800.5
median156802
Q3156833
95-th percentile156856
Maximum156863
Range783
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation224.0435
Coefficient of variation (CV)0.0014292856
Kurtosis10.706791
Mean156752.09
Median Absolute Deviation (MAD)9
Skewness-3.2543422
Sum1724273
Variance50195.491
MonotonicityNot monotonic
2024-05-11T06:36:27.124974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
156801 2
 
3.3%
156800 2
 
3.3%
156080 1
 
1.7%
156802 1
 
1.7%
156863 1
 
1.7%
156841 1
 
1.7%
156825 1
 
1.7%
156811 1
 
1.7%
156849 1
 
1.7%
(Missing) 49
81.7%
ValueCountFrequency (%)
156080 1
1.7%
156800 2
3.3%
156801 2
3.3%
156802 1
1.7%
156811 1
1.7%
156825 1
1.7%
156841 1
1.7%
156849 1
1.7%
156863 1
1.7%
ValueCountFrequency (%)
156863 1
1.7%
156849 1
1.7%
156841 1
1.7%
156825 1
1.7%
156811 1
1.7%
156802 1
1.7%
156801 2
3.3%
156800 2
3.3%
156080 1
1.7%

지번주소
Text

Distinct52
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T06:36:27.901115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length25.366667
Min length18

Characters and Unicode

Total characters1522
Distinct characters83
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)75.0%

Sample

1st row서울특별시 동작구 노량진동 ***-**번지
2nd row서울특별시 동작구 노량진동 **-**번지
3rd row서울특별시 동작구 동작동 ***번지 금강KCC아파트 ***동 ****호
4th row서울특별시 동작구 노량진동 ***-**번지 지층
5th row서울특별시 동작구 흑석동 ***-*번지
ValueCountFrequency (%)
서울특별시 60
21.4%
동작구 60
21.4%
번지 35
12.5%
25
8.9%
사당동 17
 
6.0%
상도동 11
 
3.9%
대방동 8
 
2.8%
호 8
 
2.8%
노량진동 8
 
2.8%
신대방동 6
 
2.1%
Other values (29) 43
15.3%
2024-05-11T06:36:29.096820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 314
20.6%
260
17.1%
동 131
 
8.6%
작 64
 
4.2%
시 62
 
4.1%
서 61
 
4.0%
구 60
 
3.9%
울 60
 
3.9%
별 60
 
3.9%
특 60
 
3.9%
Other values (73) 390
25.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 899
59.1%
Other Punctuation 314
 
20.6%
Space Separator 260
 
17.1%
Dash Punctuation 45
 
3.0%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 131
14.6%
작 64
 
7.1%
시 62
 
6.9%
서 61
 
6.8%
구 60
 
6.7%
울 60
 
6.7%
별 60
 
6.7%
특 60
 
6.7%
지 39
 
4.3%
번 35
 
3.9%
Other values (67) 267
29.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
B 1
25.0%
K 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 314
100.0%
Space Separator
ValueCountFrequency (%)
260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 899
59.1%
Common 619
40.7%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 131
14.6%
작 64
 
7.1%
시 62
 
6.9%
서 61
 
6.8%
구 60
 
6.7%
울 60
 
6.7%
별 60
 
6.7%
특 60
 
6.7%
지 39
 
4.3%
번 35
 
3.9%
Other values (67) 267
29.7%
Common
ValueCountFrequency (%)
* 314
50.7%
260
42.0%
- 45
 
7.3%
Latin
ValueCountFrequency (%)
C 2
50.0%
B 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 899
59.1%
ASCII 623
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 314
50.4%
260
41.7%
- 45
 
7.2%
C 2
 
0.3%
B 1
 
0.2%
K 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 131
14.6%
작 64
 
7.1%
시 62
 
6.9%
서 61
 
6.8%
구 60
 
6.7%
울 60
 
6.7%
별 60
 
6.7%
특 60
 
6.7%
지 39
 
4.3%
번 35
 
3.9%
Other values (67) 267
29.7%

도로명주소
Text

MISSING 

Distinct59
Distinct (%)100.0%
Missing1
Missing (%)1.7%
Memory size612.0 B
2024-05-11T06:36:29.881592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length33.542373
Min length23

Characters and Unicode

Total characters1979
Distinct characters117
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

Unique59 ?
Unique (%)100.0%

Sample

1st row서울특별시 동작구 만양로**길 ** (노량진동)
2nd row서울특별시 동작구 노량진로 *** (노량진동)
3rd row서울특별시 동작구 동작대로**가길 **, ***동 ****호 (동작동,금강KCC아파트)
4th row서울특별시 동작구 만양로 ** (노량진동,지층)
5th row서울특별시 동작구 현충로 *** (흑석동)
ValueCountFrequency (%)
서울특별시 59
16.0%
동작구 59
16.0%
59
16.0%
호 24
 
6.5%
사당동 15
 
4.1%
상도동 10
 
2.7%
동 10
 
2.7%
지층 9
 
2.4%
층 7
 
1.9%
대방동 7
 
1.9%
Other values (67) 109
29.6%
2024-05-11T06:36:31.303082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 322
16.3%
320
16.2%
동 148
 
7.5%
작 73
 
3.7%
시 61
 
3.1%
서 60
 
3.0%
특 59
 
3.0%
별 59
 
3.0%
구 59
 
3.0%
) 59
 
3.0%
Other values (107) 759
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1148
58.0%
Other Punctuation 380
 
19.2%
Space Separator 320
 
16.2%
Close Punctuation 59
 
3.0%
Open Punctuation 59
 
3.0%
Dash Punctuation 9
 
0.5%
Uppercase Letter 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 148
 
12.9%
작 73
 
6.4%
시 61
 
5.3%
서 60
 
5.2%
특 59
 
5.1%
별 59
 
5.1%
구 59
 
5.1%
울 59
 
5.1%
로 52
 
4.5%
길 43
 
3.7%
Other values (98) 475
41.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
K 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 322
84.7%
, 58
 
15.3%
Space Separator
ValueCountFrequency (%)
320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1148
58.0%
Common 827
41.8%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 148
 
12.9%
작 73
 
6.4%
시 61
 
5.3%
서 60
 
5.2%
특 59
 
5.1%
별 59
 
5.1%
구 59
 
5.1%
울 59
 
5.1%
로 52
 
4.5%
길 43
 
3.7%
Other values (98) 475
41.4%
Common
ValueCountFrequency (%)
* 322
38.9%
320
38.7%
) 59
 
7.1%
( 59
 
7.1%
, 58
 
7.0%
- 9
 
1.1%
Latin
ValueCountFrequency (%)
C 2
50.0%
K 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1148
58.0%
ASCII 831
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 322
38.7%
320
38.5%
) 59
 
7.1%
( 59
 
7.1%
, 58
 
7.0%
- 9
 
1.1%
C 2
 
0.2%
K 1
 
0.1%
B 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 148
 
12.9%
작 73
 
6.4%
시 61
 
5.3%
서 60
 
5.2%
특 59
 
5.1%
별 59
 
5.1%
구 59
 
5.1%
울 59
 
5.1%
로 52
 
4.5%
길 43
 
3.7%
Other values (98) 475
41.4%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)78.6%
Missing18
Missing (%)30.0%
Infinite0
Infinite (%)0.0%
Mean10562.024
Minimum6908
Maximum156810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T06:36:31.821164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6908
5-th percentile6912.35
Q16954
median7008
Q37040
95-th percentile7071.7
Maximum156810
Range149902
Interquartile range (IQR)86

Descriptive statistics

Standard deviation23117.009
Coefficient of variation (CV)2.1886913
Kurtosis41.999587
Mean10562.024
Median Absolute Deviation (MAD)37.5
Skewness6.480694
Sum443605
Variance5.3439612 × 108
MonotonicityNot monotonic
2024-05-11T06:36:32.315302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7040 4
 
6.7%
6954 3
 
5.0%
7014 2
 
3.3%
7020 2
 
3.3%
6908 2
 
3.3%
7015 2
 
3.3%
6989 1
 
1.7%
6945 1
 
1.7%
6964 1
 
1.7%
6920 1
 
1.7%
Other values (23) 23
38.3%
(Missing) 18
30.0%
ValueCountFrequency (%)
6908 2
3.3%
6912 1
 
1.7%
6919 1
 
1.7%
6920 1
 
1.7%
6925 1
 
1.7%
6934 1
 
1.7%
6941 1
 
1.7%
6945 1
 
1.7%
6954 3
5.0%
6964 1
 
1.7%
ValueCountFrequency (%)
156810 1
 
1.7%
7073 1
 
1.7%
7072 1
 
1.7%
7066 1
 
1.7%
7065 1
 
1.7%
7055 1
 
1.7%
7047 1
 
1.7%
7044 1
 
1.7%
7042 1
 
1.7%
7040 4
6.7%

사업장명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2024-05-11T06:36:33.202285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length8.85
Min length1

Characters and Unicode

Total characters531
Distinct characters186
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

Unique60 ?
Unique (%)100.0%

Sample

1st row홀로서기
2nd row통일음반
3rd row가톨릭복음테프
4th row민영미디어
5th row도서출판 이룸
ValueCountFrequency (%)
주식회사 3
 
3.4%
민주윤음악사 2
 
2.3%
뮤직 2
 
2.3%
music 2
 
2.3%
홀로서기 1
 
1.1%
블루 1
 
1.1%
사운드 1
 
1.1%
made 1
 
1.1%
stove 1
 
1.1%
메이트(blue 1
 
1.1%
Other values (72) 72
82.8%
2024-05-11T06:36:34.797590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
5.3%
) 18
 
3.4%
( 18
 
3.4%
이 18
 
3.4%
주 14
 
2.6%
스 13
 
2.4%
뮤 11
 
2.1%
직 9
 
1.7%
사 9
 
1.7%
e 8
 
1.5%
Other values (176) 385
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 354
66.7%
Lowercase Letter 66
 
12.4%
Uppercase Letter 45
 
8.5%
Space Separator 28
 
5.3%
Close Punctuation 18
 
3.4%
Open Punctuation 18
 
3.4%
Other Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 18
 
5.1%
주 14
 
4.0%
스 13
 
3.7%
뮤 11
 
3.1%
직 9
 
2.5%
사 9
 
2.5%
인 8
 
2.3%
트 8
 
2.3%
어 7
 
2.0%
디 7
 
2.0%
Other values (134) 250
70.6%
Uppercase Letter
ValueCountFrequency (%)
M 8
17.8%
E 7
15.6%
T 3
 
6.7%
C 3
 
6.7%
S 3
 
6.7%
I 2
 
4.4%
L 2
 
4.4%
V 2
 
4.4%
B 2
 
4.4%
J 2
 
4.4%
Other values (9) 11
24.4%
Lowercase Letter
ValueCountFrequency (%)
e 8
12.1%
u 8
12.1%
o 6
9.1%
n 6
9.1%
i 5
 
7.6%
t 5
 
7.6%
l 4
 
6.1%
g 4
 
6.1%
s 3
 
4.5%
r 3
 
4.5%
Other values (8) 14
21.2%
Space Separator
ValueCountFrequency (%)
28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 354
66.7%
Latin 111
 
20.9%
Common 66
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 18
 
5.1%
주 14
 
4.0%
스 13
 
3.7%
뮤 11
 
3.1%
직 9
 
2.5%
사 9
 
2.5%
인 8
 
2.3%
트 8
 
2.3%
어 7
 
2.0%
디 7
 
2.0%
Other values (134) 250
70.6%
Latin
ValueCountFrequency (%)
e 8
 
7.2%
M 8
 
7.2%
u 8
 
7.2%
E 7
 
6.3%
o 6
 
5.4%
n 6
 
5.4%
i 5
 
4.5%
t 5
 
4.5%
l 4
 
3.6%
g 4
 
3.6%
Other values (27) 50
45.0%
Common
ValueCountFrequency (%)
28
42.4%
) 18
27.3%
( 18
27.3%
. 1
 
1.5%
1 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 354
66.7%
ASCII 177
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
15.8%
) 18
 
10.2%
( 18
 
10.2%
e 8
 
4.5%
M 8
 
4.5%
u 8
 
4.5%
E 7
 
4.0%
o 6
 
3.4%
n 6
 
3.4%
i 5
 
2.8%
Other values (32) 65
36.7%
Hangul
ValueCountFrequency (%)
이 18
 
5.1%
주 14
 
4.0%
스 13
 
3.7%
뮤 11
 
3.1%
직 9
 
2.5%
사 9
 
2.5%
인 8
 
2.3%
트 8
 
2.3%
어 7
 
2.0%
디 7
 
2.0%
Other values (134) 250
70.6%

최종수정일자
Date

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2007-02-27 12:01:10
Maximum2023-12-14 09:27:10
2024-05-11T06:36:35.386701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:36:35.828383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
I
50 
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 50
83.3%
U 10
 
16.7%

Length

2024-05-11T06:36:36.314162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:36.896079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 50
83.3%
u 10
 
16.7%

데이터갱신일자
Date

Distinct30
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2018-08-31 23:59:59
Maximum2022-12-07 23:07:00
2024-05-11T06:36:37.269203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T06:36:37.796279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)93.2%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean195582.59
Minimum191691.68
Maximum198366.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T06:36:38.253684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191691.68
5-th percentile192153.42
Q1193951.4
median195540.06
Q3197303.5
95-th percentile198243.53
Maximum198366.55
Range6674.8737
Interquartile range (IQR)3352.0962

Descriptive statistics

Standard deviation1965.8906
Coefficient of variation (CV)0.01005146
Kurtosis-1.0774607
Mean195582.59
Median Absolute Deviation (MAD)1749.7503
Skewness-0.16868354
Sum11539373
Variance3864726
MonotonicityNot monotonic
2024-05-11T06:36:38.803684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195971.593460005 2
 
3.3%
193216.149350977 2
 
3.3%
197289.806805408 2
 
3.3%
193250.114103485 2
 
3.3%
195117.456281602 1
 
1.7%
195078.236176484 1
 
1.7%
195540.05653654 1
 
1.7%
192955.080893359 1
 
1.7%
193295.933816318 1
 
1.7%
192001.380832259 1
 
1.7%
Other values (45) 45
75.0%
ValueCountFrequency (%)
191691.678396263 1
1.7%
192001.380832259 1
1.7%
192113.200600983 1
1.7%
192157.887185671 1
1.7%
192955.080893359 1
1.7%
192959.296710537 1
1.7%
193216.149350977 2
3.3%
193250.114103485 2
3.3%
193295.933816318 1
1.7%
193300.832515956 1
1.7%
ValueCountFrequency (%)
198366.552047652 1
1.7%
198304.352252058 1
1.7%
198250.045755315 1
1.7%
198242.804333527 1
1.7%
198242.263168525 1
1.7%
198198.9077039 1
1.7%
198173.460006831 1
1.7%
198164.754585863 1
1.7%
198040.291782677 1
1.7%
198039.509487541 1
1.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)93.2%
Missing1
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean443834.89
Minimum441660.06
Maximum445778.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T06:36:39.393885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum441660.06
5-th percentile441864.25
Q1443032.57
median443976.34
Q3444863.39
95-th percentile445661.02
Maximum445778.84
Range4118.7822
Interquartile range (IQR)1830.8162

Descriptive statistics

Standard deviation1217.2988
Coefficient of variation (CV)0.0027426839
Kurtosis-1.0590119
Mean443834.89
Median Absolute Deviation (MAD)920.09061
Skewness-0.16815058
Sum26186258
Variance1481816.4
MonotonicityNot monotonic
2024-05-11T06:36:39.830684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445455.615484416 2
 
3.3%
444591.661530459 2
 
3.3%
441864.405844378 2
 
3.3%
444207.605105215 2
 
3.3%
445657.414611025 1
 
1.7%
445024.485155695 1
 
1.7%
444896.434621338 1
 
1.7%
444167.172550378 1
 
1.7%
444503.854700554 1
 
1.7%
442755.418024328 1
 
1.7%
Other values (45) 45
75.0%
ValueCountFrequency (%)
441660.055575466 1
1.7%
441809.36646114 1
1.7%
441862.800345209 1
1.7%
441864.405844378 2
3.3%
441980.668972401 1
1.7%
442066.314433654 1
1.7%
442112.04825741 1
1.7%
442174.217720226 1
1.7%
442193.202544137 1
1.7%
442216.077386553 1
1.7%
ValueCountFrequency (%)
445778.837763117 1
1.7%
445693.792692222 1
1.7%
445693.456564059 1
1.7%
445657.414611025 1
1.7%
445612.388110081 1
1.7%
445455.615484416 2
3.3%
445417.109973336 1
1.7%
445281.993750451 1
1.7%
445197.848560131 1
1.7%
445120.478998405 1
1.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
음반.음악영상물제작업
45 
<NA>
15 

Length

Max length11
Median length11
Mean length9.25
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 45
75.0%
<NA> 15
 
25.0%

Length

2024-05-11T06:36:40.340029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:40.648423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 45
75.0%
na 15
 
25.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
유통관련업
45 
<NA>
15 

Length

Max length5
Median length5
Mean length4.75
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 45
75.0%
<NA> 15
 
25.0%

Length

2024-05-11T06:36:41.033890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:41.530137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 45
75.0%
na 15
 
25.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
57 
0
 
3

Length

Max length4
Median length4
Mean length3.85
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
95.0%
0 3
 
5.0%

Length

2024-05-11T06:36:42.055359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:42.608376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
95.0%
0 3
 
5.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

제작취급품목내용
Text

MISSING 

Distinct25
Distinct (%)65.8%
Missing22
Missing (%)36.7%
Memory size612.0 B
2024-05-11T06:36:43.063359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10.5
Mean length5.7105263
Min length2

Characters and Unicode

Total characters217
Distinct characters45
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

Unique20 ?
Unique (%)52.6%

Sample

1st row음반제작
2nd row음반
3rd row음반
4th row음반
5th row테이프
ValueCountFrequency (%)
음반 14
28.6%
음악영상물 3
 
6.1%
음반제작 3
 
6.1%
음반제작업 2
 
4.1%
음반,음악영상물 2
 
4.1%
사운드 1
 
2.0%
오디션 1
 
2.0%
영상 1
 
2.0%
음반,음원 1
 
2.0%
음반,뮤지컬음반 1
 
2.0%
Other values (20) 20
40.8%
2024-05-11T06:36:44.393084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 46
21.2%
반 30
13.8%
, 14
 
6.5%
악 14
 
6.5%
영 11
 
5.1%
상 11
 
5.1%
11
 
5.1%
물 9
 
4.1%
제 6
 
2.8%
작 6
 
2.8%
Other values (35) 59
27.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 182
83.9%
Other Punctuation 16
 
7.4%
Space Separator 11
 
5.1%
Uppercase Letter 4
 
1.8%
Close Punctuation 2
 
0.9%
Open Punctuation 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 46
25.3%
반 30
16.5%
악 14
 
7.7%
영 11
 
6.0%
상 11
 
6.0%
물 9
 
4.9%
제 6
 
3.3%
작 6
 
3.3%
디 4
 
2.2%
일 3
 
1.6%
Other values (27) 42
23.1%
Other Punctuation
ValueCountFrequency (%)
, 14
87.5%
. 1
 
6.2%
? 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
D 2
50.0%
C 2
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 182
83.9%
Common 31
 
14.3%
Latin 4
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 46
25.3%
반 30
16.5%
악 14
 
7.7%
영 11
 
6.0%
상 11
 
6.0%
물 9
 
4.9%
제 6
 
3.3%
작 6
 
3.3%
디 4
 
2.2%
일 3
 
1.6%
Other values (27) 42
23.1%
Common
ValueCountFrequency (%)
, 14
45.2%
11
35.5%
) 2
 
6.5%
( 2
 
6.5%
. 1
 
3.2%
? 1
 
3.2%
Latin
ValueCountFrequency (%)
D 2
50.0%
C 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 182
83.9%
ASCII 35
 
16.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 46
25.3%
반 30
16.5%
악 14
 
7.7%
영 11
 
6.0%
상 11
 
6.0%
물 9
 
4.9%
제 6
 
3.3%
작 6
 
3.3%
디 4
 
2.2%
일 3
 
1.6%
Other values (27) 42
23.1%
ASCII
ValueCountFrequency (%)
, 14
40.0%
11
31.4%
) 2
 
5.7%
D 2
 
5.7%
C 2
 
5.7%
( 2
 
5.7%
. 1
 
2.9%
? 1
 
2.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)89.5%
Missing41
Missing (%)68.3%
Infinite0
Infinite (%)0.0%
Mean104.51579
Minimum0
Maximum430.82
Zeros3
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2024-05-11T06:36:44.969963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q151.66
median78.93
Q3112.82
95-th percentile316.457
Maximum430.82
Range430.82
Interquartile range (IQR)61.16

Descriptive statistics

Standard deviation109.42667
Coefficient of variation (CV)1.046987
Kurtosis3.808377
Mean104.51579
Median Absolute Deviation (MAD)29.43
Skewness1.9223055
Sum1985.8
Variance11974.196
MonotonicityNot monotonic
2024-05-11T06:36:45.514304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 3
 
5.0%
236.8 1
 
1.7%
124.97 1
 
1.7%
78.93 1
 
1.7%
303.75 1
 
1.7%
430.82 1
 
1.7%
79.52 1
 
1.7%
80.0 1
 
1.7%
53.82 1
 
1.7%
125.72 1
 
1.7%
Other values (7) 7
 
11.7%
(Missing) 41
68.3%
ValueCountFrequency (%)
0.0 3
5.0%
27.37 1
 
1.7%
49.5 1
 
1.7%
53.82 1
 
1.7%
62.2 1
 
1.7%
65.25 1
 
1.7%
66.69 1
 
1.7%
78.93 1
 
1.7%
79.52 1
 
1.7%
80.0 1
 
1.7%
ValueCountFrequency (%)
430.82 1
1.7%
303.75 1
1.7%
236.8 1
1.7%
125.72 1
1.7%
124.97 1
1.7%
100.67 1
1.7%
99.79 1
1.7%
80.0 1
1.7%
79.52 1
1.7%
78.93 1
1.7%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
55 
0
 
3
7
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.75
Min length1

Unique

Unique2 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 55
91.7%
0 3
 
5.0%
7 1
 
1.7%
1 1
 
1.7%

Length

2024-05-11T06:36:46.161846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:46.666542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
91.7%
0 3
 
5.0%
7 1
 
1.7%
1 1
 
1.7%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
55 
0
 
3
1
 
2

Length

Max length4
Median length4
Mean length3.75
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> 55
91.7%
0 3
 
5.0%
1 2
 
3.3%

Length

2024-05-11T06:36:47.167428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:47.546018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 55
91.7%
0 3
 
5.0%
1 2
 
3.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
57 
0
 
3

Length

Max length4
Median length4
Mean length3.85
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
95.0%
0 3
 
5.0%

Length

2024-05-11T06:36:47.976876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:48.395385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
95.0%
0 3
 
5.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
57 
0
 
3

Length

Max length4
Median length4
Mean length3.85
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
95.0%
0 3
 
5.0%

Length

2024-05-11T06:36:48.763873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:49.129745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
95.0%
0 3
 
5.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
57 
0
 
3

Length

Max length4
Median length4
Mean length3.85
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
95.0%
0 3
 
5.0%

Length

2024-05-11T06:36:49.455039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:49.953788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
95.0%
0 3
 
5.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
57 
0
 
3

Length

Max length4
Median length4
Mean length3.85
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
95.0%
0 3
 
5.0%

Length

2024-05-11T06:36:50.421493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:50.873636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
95.0%
0 3
 
5.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
<NA>
57 
0
 
3

Length

Max length4
Median length4
Mean length3.85
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
95.0%
0 3
 
5.0%

Length

2024-05-11T06:36:51.411119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T06:36:51.821104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
95.0%
0 3
 
5.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing60
Missing (%)100.0%
Memory size672.0 B

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing59
Missing (%)98.3%
Memory size612.0 B
2024-05-11T06:36:52.146947image/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%
2024-05-11T06:36:53.127034image/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
03190000CDFF324106200000000120000508<NA>3폐업3폐업20080513<NA><NA><NA><NA><NA>156801서울특별시 동작구 노량진동 ***-**번지서울특별시 동작구 만양로**길 ** (노량진동)<NA>홀로서기2008-05-13 16:38:03I2018-08-31 23:59:59.0<NA>195117.456282445657.414611음반.음악영상물제작업유통관련업<NA><NA>음반제작<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13190000CDFF324106200000000220000522<NA>4취소/말소/만료/정지/중지35직권말소20080924<NA><NA><NA><NA><NA>156800서울특별시 동작구 노량진동 **-**번지서울특별시 동작구 노량진로 *** (노량진동)<NA>통일음반2008-09-25 09:57:42I2018-08-31 23:59:59.0<NA>194856.03749445693.792692음반.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>
23190000CDFF324106200200000120020522<NA>3폐업3폐업20121211<NA><NA><NA>7747409<NA>156080서울특별시 동작구 동작동 ***번지 금강KCC아파트 ***동 ****호서울특별시 동작구 동작대로**가길 **, ***동 ****호 (동작동,금강KCC아파트)<NA>가톨릭복음테프2012-12-11 14:39:08I2018-08-31 23:59:59.0<NA>198024.85919443536.409634음반.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>
33190000CDFF324106200200000220020625<NA>3폐업3폐업20090120<NA><NA><NA>825-9113<NA>156802서울특별시 동작구 노량진동 ***-**번지 지층서울특별시 동작구 만양로 ** (노량진동,지층)<NA>민영미디어2009-01-20 17:28:17I2018-08-31 23:59:59.0<NA>195272.564896445120.478998음반.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>
43190000CDFF324106200400000120040224<NA>1영업/정상13영업중<NA><NA><NA><NA>812-1445<NA>156863서울특별시 동작구 흑석동 ***-*번지서울특별시 동작구 현충로 *** (흑석동)<NA>도서출판 이룸2007-04-13 16:45:58I2018-08-31 23:59:59.0<NA>197248.089701444830.34221음반.음악영상물제작업유통관련업<NA><NA>테이프<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53190000CDFF324106200600000120060207<NA>3폐업3폐업20070227<NA><NA><NA>02-825-1866<NA>156841서울특별시 동작구 상도동 ***-**번지서울특별시 동작구 양녕로**길 * (상도동)<NA>주인미디어2007-02-27 12:01:10I2018-08-31 23:59:59.0<NA>194939.383576444097.957192음반.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>
63190000CDFF324106200600000220060309<NA>5제외/삭제/전출15전출20220519<NA><NA><NA><NA><NA><NA>서울특별시 동작구 동작동 ***-** *층서울특별시 동작구 동작대로**길 *-* (동작동, 성환빌딩)6994(주)다빈치커뮤니케이션2022-05-19 09:49:48U2021-12-04 22:01:00.0<NA>198366.552048443749.075733<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73190000CDFF324106200700000120070810<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>156825서울특별시 동작구 사당동 ****-*번지서울특별시 동작구 동작대로**길 ** (사당동)<NA>래2007-08-10 17:21:47I2018-08-31 23:59:59.0<NA>198010.233563442174.21772음반.음악영상물제작업유통관련업<NA><NA>음반제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83190000CDFF324106200800000120080117<NA>3폐업3폐업20141119<NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 ****-**번지서울특별시 동작구 동작대로**길 ** (사당동)<NA>번체와간체2014-11-19 12:56:57I2018-08-31 23:59:59.0<NA>198198.907704442193.202544음반.음악영상물제작업유통관련업<NA><NA>음반,음악영상물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93190000CDFF324106200800000220080118<NA>3폐업3폐업20080121<NA><NA><NA>821-5235<NA>156800서울특별시 동작구 노량진동 **-*번지서울특별시 동작구 노량진로 ***-* (노량진동)<NA>종일미디어2008-01-21 16:59:32I2018-08-31 23:59:59.0<NA>194878.313981445693.456564음반.음악영상물제작업유통관련업<NA><NA>음반제작<NA><NA><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
503190000CDFF324106202200000220210907<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 **** 사당휴먼시아아파트서울특별시 동작구 사당로**길 **, ***동 ***호 (사당동, 사당휴먼시아아파트)7020HGMC(에이치쥐엠씨)2022-03-28 18:35:41I2021-12-02 21:00:00.0<NA>197289.806805441864.405844<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513190000CDFF324106202200000320220615<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-* 서현빌딩 ***호서울특별시 동작구 장승배기로**길 **, 서현빌딩 ***호 (상도동)6964(주)케이앤아츠2022-06-15 14:54:49I2021-12-05 23:07:00.0<NA>194768.78346444680.421233<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
523190000CDFF324106202200000420220817<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 ***-**서울특별시 동작구 대방동**길 **, 지층 (대방동)6945씨앤씨뮤직스튜디오2022-08-17 18:12:23I2021-12-07 23:09:00.0<NA>193216.149351444591.66153<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
533190000CDFF32410620230000012023-04-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 사당동 **** 사당 롯데캐슬서울특별시 동작구 사당로**길 ***, ***동 ***호 (사당동, 사당 롯데캐슬)6989어썸크리에이티브2023-04-28 17:16:33I2022-12-03 21:00:00.0<NA>197407.961673443110.851261<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
543190000CDFF32410620230000022023-05-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 ***-*서울특별시 동작구 알마타길 **, 지층 (대방동)6941이펙트(EFFECT)2023-05-09 08:52:01I2022-12-04 23:01:00.0<NA>193502.301864445417.109973<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553190000CDFF32410620230000032023-08-09<NA>1영업/정상13영업중<NA><NA><NA><NA>0263321477<NA><NA>서울특별시 동작구 사당동 ****-**서울특별시 동작구 동작대로*길 **, 지층 (사당동)7015뮤직 플레인2023-08-09 17:43:47I2022-12-07 23:01:00.0<NA>198250.045755441980.668972<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
563190000CDFF32410620230000042023-09-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 대방동 ***-** 중소기업창업지원센터서울특별시 동작구 상도로 **, 중소기업창업지원센터 *층 ***호 (대방동)6954주식회사 표현하다2023-12-14 09:27:10U2022-11-01 23:06:00.0<NA>193250.114103444207.605105<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573190000CDFF32410620230000052023-10-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 본동 **-**서울특별시 동작구 노량진로**길 **-** (본동)6908민주윤음악사 (MJY MUSIC)2023-10-06 13:07:28I2022-10-31 00:08:00.0<NA>195971.59346445455.615484<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583190000CDFF32410620230000062023-10-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 동작구 상도동 ***-**서울특별시 동작구 상도로**길 *, ***호 (상도동)6978(주)엠제이프로덕션2023-10-20 09:00:16I2022-10-30 22:02:00.0<NA>195843.348945443875.004044<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593190000CDFF32410620230000072023-11-21<NA>1영업/정상13영업중<NA><NA><NA><NA>02-542-3374<NA><NA>서울특별시 동작구 상도동 ***-** 링크식스빌딩서울특별시 동작구 상도로 ***, 링크식스빌딩 (상도동)7040주식회사 링크식스2023-11-21 11:33:27I2022-10-31 22:03:00.0<NA>196055.894981443410.864187<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>