Overview

Dataset statistics

Number of variables56
Number of observations77
Missing cells2179
Missing cells (%)50.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.9 KiB
Average record size in memory490.7 B

Variable types

Categorical17
Text6
DateTime3
Unsupported25
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
Author서초구
URLhttps://data.seoul.go.kr/dataList/OA-17798/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
데이터갱신구분 is highly imbalanced (61.0%)Imbalance
데이터갱신일자 is highly imbalanced (51.3%)Imbalance
총층수 is highly imbalanced (87.4%)Imbalance
지상층수 is highly imbalanced (90.0%)Imbalance
지하층수 is highly imbalanced (90.0%)Imbalance
통로너비 is highly imbalanced (90.0%)Imbalance
조명시설조도 is highly imbalanced (90.0%)Imbalance
노래방실수 is highly imbalanced (90.0%)Imbalance
청소년실수 is highly imbalanced (90.0%)Imbalance
총게임기수 is highly imbalanced (90.0%)Imbalance
인허가취소일자 has 77 (100.0%) missing valuesMissing
폐업일자 has 61 (79.2%) missing valuesMissing
휴업시작일자 has 77 (100.0%) missing valuesMissing
휴업종료일자 has 77 (100.0%) missing valuesMissing
재개업일자 has 77 (100.0%) missing valuesMissing
전화번호 has 11 (14.3%) missing valuesMissing
소재지면적 has 77 (100.0%) missing valuesMissing
소재지우편번호 has 50 (64.9%) missing valuesMissing
도로명주소 has 2 (2.6%) missing valuesMissing
도로명우편번호 has 42 (54.5%) missing valuesMissing
업태구분명 has 77 (100.0%) missing valuesMissing
주변환경명 has 77 (100.0%) missing valuesMissing
제작취급품목내용 has 19 (24.7%) missing valuesMissing
시설면적 has 69 (89.6%) missing valuesMissing
건물용도명 has 77 (100.0%) missing valuesMissing
비상계단여부 has 77 (100.0%) missing valuesMissing
비상구여부 has 77 (100.0%) missing valuesMissing
자동환기여부 has 77 (100.0%) missing valuesMissing
청소년실여부 has 77 (100.0%) missing valuesMissing
특수조명여부 has 77 (100.0%) missing valuesMissing
방음시설여부 has 77 (100.0%) missing valuesMissing
비디오재생기명 has 77 (100.0%) missing valuesMissing
조명시설유무 has 77 (100.0%) missing valuesMissing
음향시설여부 has 77 (100.0%) missing valuesMissing
편의시설여부 has 77 (100.0%) missing valuesMissing
소방시설여부 has 77 (100.0%) missing valuesMissing
기존게임업외업종명 has 77 (100.0%) missing valuesMissing
제공게임물명 has 77 (100.0%) missing valuesMissing
공연장형태구분명 has 77 (100.0%) missing valuesMissing
품목명 has 77 (100.0%) missing valuesMissing
최초등록시점 has 77 (100.0%) missing valuesMissing
지역구분명 has 77 (100.0%) 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 09:39:56.636429
Analysis finished2024-05-11 09:39:57.877155
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
3210000
77 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3210000
2nd row3210000
3rd row3210000
4th row3210000
5th row3210000

Common Values

ValueCountFrequency (%)
3210000 77
100.0%

Length

2024-05-11T09:39:58.214057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:39:58.614196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3210000 77
100.0%

관리번호
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-05-11T09:39:59.043991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1540
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

Unique77 ?
Unique (%)100.0%

Sample

1st rowCDFF3241101999000001
2nd rowCDFF3241101999000002
3rd rowCDFF3241101999000003
4th rowCDFF3241102000000001
5th rowCDFF3241102000000002
ValueCountFrequency (%)
cdff3241101999000001 1
 
1.3%
cdff3241102011000002 1
 
1.3%
cdff3241102017000004 1
 
1.3%
cdff3241102017000003 1
 
1.3%
cdff3241102017000002 1
 
1.3%
cdff3241102017000001 1
 
1.3%
cdff3241102016000004 1
 
1.3%
cdff3241102016000003 1
 
1.3%
cdff3241102016000002 1
 
1.3%
cdff3241102015000001 1
 
1.3%
Other values (67) 67
87.0%
2024-05-11T09:40:00.051378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 583
37.9%
1 215
 
14.0%
2 193
 
12.5%
F 154
 
10.0%
3 104
 
6.8%
4 88
 
5.7%
C 77
 
5.0%
D 77
 
5.0%
5 14
 
0.9%
9 13
 
0.8%
Other values (3) 22
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1232
80.0%
Uppercase Letter 308
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 583
47.3%
1 215
 
17.5%
2 193
 
15.7%
3 104
 
8.4%
4 88
 
7.1%
5 14
 
1.1%
9 13
 
1.1%
6 9
 
0.7%
7 8
 
0.6%
8 5
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 154
50.0%
C 77
25.0%
D 77
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1232
80.0%
Latin 308
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 583
47.3%
1 215
 
17.5%
2 193
 
15.7%
3 104
 
8.4%
4 88
 
7.1%
5 14
 
1.1%
9 13
 
1.1%
6 9
 
0.7%
7 8
 
0.6%
8 5
 
0.4%
Latin
ValueCountFrequency (%)
F 154
50.0%
C 77
25.0%
D 77
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 583
37.9%
1 215
 
14.0%
2 193
 
12.5%
F 154
 
10.0%
3 104
 
6.8%
4 88
 
5.7%
C 77
 
5.0%
D 77
 
5.0%
5 14
 
0.9%
9 13
 
0.8%
Other values (3) 22
 
1.4%

인허가일자
Date

Distinct72
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum1999-05-31 00:00:00
Maximum2023-07-12 00:00:00
2024-05-11T09:40:00.654299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:40:01.195696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
1
61 
3
14 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 61
79.2%
3 14
 
18.2%
5 2
 
2.6%

Length

2024-05-11T09:40:01.872704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:02.326016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 61
79.2%
3 14
 
18.2%
5 2
 
2.6%

영업상태명
Categorical

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
영업/정상
61 
폐업
14 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.5324675
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 61
79.2%
폐업 14
 
18.2%
제외/삭제/전출 2
 
2.6%

Length

2024-05-11T09:40:02.821846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:03.320695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 61
79.2%
폐업 14
 
18.2%
제외/삭제/전출 2
 
2.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
13
61 
3
14 
15
 
2

Length

Max length2
Median length2
Mean length1.8181818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 61
79.2%
3 14
 
18.2%
15 2
 
2.6%

Length

2024-05-11T09:40:03.809517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:04.287881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 61
79.2%
3 14
 
18.2%
15 2
 
2.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
영업중
61 
폐업
14 
전출
 
2

Length

Max length3
Median length3
Mean length2.7922078
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 61
79.2%
폐업 14
 
18.2%
전출 2
 
2.6%

Length

2024-05-11T09:40:04.793132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:05.182640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 61
79.2%
폐업 14
 
18.2%
전출 2
 
2.6%

폐업일자
Date

MISSING 

Distinct16
Distinct (%)100.0%
Missing61
Missing (%)79.2%
Memory size748.0 B
Minimum2006-10-30 00:00:00
Maximum2023-05-17 00:00:00
2024-05-11T09:40:05.503124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:40:05.925266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

전화번호
Text

MISSING 

Distinct65
Distinct (%)98.5%
Missing11
Missing (%)14.3%
Memory size748.0 B
2024-05-11T09:40:06.477352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.227273
Min length8

Characters and Unicode

Total characters675
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)97.0%

Sample

1st row521-2043
2nd row520-0203
3rd row3444-4411
4th row571-8249
5th row534-2181
ValueCountFrequency (%)
02 5
 
6.4%
02-333-3041 2
 
2.6%
3444-4411 1
 
1.3%
9222 1
 
1.3%
02-537-9903 1
 
1.3%
3478-2131 1
 
1.3%
02-511-4102 1
 
1.3%
02-542-7766 1
 
1.3%
02-3478-8100 1
 
1.3%
02-568-8609 1
 
1.3%
Other values (63) 63
80.8%
2024-05-11T09:40:07.897266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 95
14.1%
- 89
13.2%
0 88
13.0%
3 66
9.8%
5 61
9.0%
4 60
8.9%
7 46
6.8%
8 45
6.7%
1 43
6.4%
9 37
 
5.5%
Other values (2) 45
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 574
85.0%
Dash Punctuation 89
 
13.2%
Space Separator 12
 
1.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 95
16.6%
0 88
15.3%
3 66
11.5%
5 61
10.6%
4 60
10.5%
7 46
8.0%
8 45
7.8%
1 43
7.5%
9 37
 
6.4%
6 33
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 89
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 675
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 95
14.1%
- 89
13.2%
0 88
13.0%
3 66
9.8%
5 61
9.0%
4 60
8.9%
7 46
6.8%
8 45
6.7%
1 43
6.4%
9 37
 
5.5%
Other values (2) 45
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 95
14.1%
- 89
13.2%
0 88
13.0%
3 66
9.8%
5 61
9.0%
4 60
8.9%
7 46
6.8%
8 45
6.7%
1 43
6.4%
9 37
 
5.5%
Other values (2) 45
6.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)81.5%
Missing50
Missing (%)64.9%
Infinite0
Infinite (%)0.0%
Mean137875.56
Minimum137802
Maximum137963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-11T09:40:08.292386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum137802
5-th percentile137812.9
Q1137861
median137876
Q3137894
95-th percentile137920.7
Maximum137963
Range161
Interquartile range (IQR)33

Descriptive statistics

Standard deviation33.612421
Coefficient of variation (CV)0.00024378811
Kurtosis1.4698471
Mean137875.56
Median Absolute Deviation (MAD)18
Skewness-0.019708034
Sum3722640
Variance1129.7949
MonotonicityNot monotonic
2024-05-11T09:40:08.785227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
137876 3
 
3.9%
137878 2
 
2.6%
137894 2
 
2.6%
137856 2
 
2.6%
137902 1
 
1.3%
137963 1
 
1.3%
137829 1
 
1.3%
137862 1
 
1.3%
137871 1
 
1.3%
137927 1
 
1.3%
Other values (12) 12
 
15.6%
(Missing) 50
64.9%
ValueCountFrequency (%)
137802 1
1.3%
137806 1
1.3%
137829 1
1.3%
137837 1
1.3%
137856 2
2.6%
137860 1
1.3%
137862 1
1.3%
137868 1
1.3%
137869 1
1.3%
137871 1
1.3%
ValueCountFrequency (%)
137963 1
1.3%
137927 1
1.3%
137906 1
1.3%
137902 1
1.3%
137900 1
1.3%
137898 1
1.3%
137894 2
2.6%
137891 1
1.3%
137890 1
1.3%
137878 2
2.6%

지번주소
Text

Distinct70
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-05-11T09:40:09.425654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length34
Mean length28.714286
Min length14

Characters and Unicode

Total characters2211
Distinct characters126
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

Unique66 ?
Unique (%)85.7%

Sample

1st row서울특별시 서초구 서초동 ****-*번지 삼동빌딩 지층
2nd row서울특별시 서초구 서초동 ****-**
3rd row서울특별시 서초구 양재동 **-**번지 정우빌딩 *층
4th row서울특별시 서초구 서초동 ****-*번지 탑스벤처타워 *층
5th row서울특별시 서초구 서초동 ****-*번지 에덴빌딩 *층
ValueCountFrequency (%)
서울특별시 77
18.5%
서초구 77
18.5%
번지 59
14.1%
서초동 39
9.4%
층 21
 
5.0%
17
 
4.1%
호 14
 
3.4%
양재동 11
 
2.6%
방배동 10
 
2.4%
잠원동 9
 
2.2%
Other values (69) 83
19.9%
2024-05-11T09:40:11.034880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 434
19.6%
392
17.7%
서 199
 
9.0%
초 118
 
5.3%
동 84
 
3.8%
시 81
 
3.7%
울 77
 
3.5%
특 77
 
3.5%
별 77
 
3.5%
구 77
 
3.5%
Other values (116) 595
26.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1286
58.2%
Other Punctuation 434
 
19.6%
Space Separator 392
 
17.7%
Dash Punctuation 72
 
3.3%
Uppercase Letter 19
 
0.9%
Lowercase Letter 4
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 199
15.5%
초 118
 
9.2%
동 84
 
6.5%
시 81
 
6.3%
울 77
 
6.0%
특 77
 
6.0%
별 77
 
6.0%
구 77
 
6.0%
지 66
 
5.1%
번 59
 
4.6%
Other values (95) 371
28.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
15.8%
M 2
10.5%
R 2
10.5%
E 2
10.5%
O 2
10.5%
S 1
 
5.3%
C 1
 
5.3%
H 1
 
5.3%
G 1
 
5.3%
J 1
 
5.3%
Other values (3) 3
15.8%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
e 1
25.0%
w 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 434
100.0%
Space Separator
ValueCountFrequency (%)
392
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1286
58.2%
Common 902
40.8%
Latin 23
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 199
15.5%
초 118
 
9.2%
동 84
 
6.5%
시 81
 
6.3%
울 77
 
6.0%
특 77
 
6.0%
별 77
 
6.0%
구 77
 
6.0%
지 66
 
5.1%
번 59
 
4.6%
Other values (95) 371
28.8%
Latin
ValueCountFrequency (%)
B 3
13.0%
M 2
 
8.7%
R 2
 
8.7%
E 2
 
8.7%
O 2
 
8.7%
l 2
 
8.7%
S 1
 
4.3%
C 1
 
4.3%
H 1
 
4.3%
e 1
 
4.3%
Other values (6) 6
26.1%
Common
ValueCountFrequency (%)
* 434
48.1%
392
43.5%
- 72
 
8.0%
( 2
 
0.2%
) 2
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1286
58.2%
ASCII 925
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 434
46.9%
392
42.4%
- 72
 
7.8%
B 3
 
0.3%
M 2
 
0.2%
R 2
 
0.2%
E 2
 
0.2%
O 2
 
0.2%
l 2
 
0.2%
( 2
 
0.2%
Other values (11) 12
 
1.3%
Hangul
ValueCountFrequency (%)
서 199
15.5%
초 118
 
9.2%
동 84
 
6.5%
시 81
 
6.3%
울 77
 
6.0%
특 77
 
6.0%
별 77
 
6.0%
구 77
 
6.0%
지 66
 
5.1%
번 59
 
4.6%
Other values (95) 371
28.8%

도로명주소
Text

MISSING 

Distinct74
Distinct (%)98.7%
Missing2
Missing (%)2.6%
Memory size748.0 B
2024-05-11T09:40:11.753509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40
Mean length34.546667
Min length22

Characters and Unicode

Total characters2591
Distinct characters148
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)97.3%

Sample

1st row서울특별시 서초구 효령로**길 ** (서초동,삼동빌딩 지층)
2nd row서울특별시 서초구 반포대로**길 ** (서초동)
3rd row서울특별시 서초구 양재천로**길 ** (양재동,정우빌딩 *층)
4th row서울특별시 서초구 반포대로**길 ** (서초동,탑스벤처타워 *층)
5th row서울특별시 서초구 서초대로**길 *** (서초동,에덴빌딩 *층)
ValueCountFrequency (%)
서울특별시 75
15.9%
서초구 75
15.9%
75
15.9%
층 35
 
7.4%
서초동 20
 
4.2%
호 18
 
3.8%
강남대로 6
 
1.3%
방배동 5
 
1.1%
서초대로**길 5
 
1.1%
잠원동 5
 
1.1%
Other values (117) 153
32.4%
2024-05-11T09:40:13.091474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
435
16.8%
* 379
 
14.6%
서 204
 
7.9%
초 125
 
4.8%
, 93
 
3.6%
동 84
 
3.2%
시 79
 
3.0%
( 75
 
2.9%
특 75
 
2.9%
별 75
 
2.9%
Other values (138) 967
37.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1504
58.0%
Other Punctuation 472
 
18.2%
Space Separator 435
 
16.8%
Open Punctuation 75
 
2.9%
Close Punctuation 75
 
2.9%
Uppercase Letter 18
 
0.7%
Dash Punctuation 7
 
0.3%
Lowercase Letter 4
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 204
 
13.6%
초 125
 
8.3%
동 84
 
5.6%
시 79
 
5.3%
특 75
 
5.0%
별 75
 
5.0%
구 75
 
5.0%
울 75
 
5.0%
로 75
 
5.0%
층 49
 
3.3%
Other values (118) 588
39.1%
Uppercase Letter
ValueCountFrequency (%)
B 7
38.9%
M 2
 
11.1%
S 2
 
11.1%
W 1
 
5.6%
L 1
 
5.6%
G 1
 
5.6%
R 1
 
5.6%
H 1
 
5.6%
O 1
 
5.6%
E 1
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
l 2
50.0%
w 1
25.0%
e 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 379
80.3%
, 93
 
19.7%
Space Separator
ValueCountFrequency (%)
435
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1504
58.0%
Common 1065
41.1%
Latin 22
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 204
 
13.6%
초 125
 
8.3%
동 84
 
5.6%
시 79
 
5.3%
특 75
 
5.0%
별 75
 
5.0%
구 75
 
5.0%
울 75
 
5.0%
로 75
 
5.0%
층 49
 
3.3%
Other values (118) 588
39.1%
Latin
ValueCountFrequency (%)
B 7
31.8%
M 2
 
9.1%
S 2
 
9.1%
l 2
 
9.1%
w 1
 
4.5%
W 1
 
4.5%
L 1
 
4.5%
G 1
 
4.5%
R 1
 
4.5%
e 1
 
4.5%
Other values (3) 3
13.6%
Common
ValueCountFrequency (%)
435
40.8%
* 379
35.6%
, 93
 
8.7%
( 75
 
7.0%
) 75
 
7.0%
- 7
 
0.7%
~ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1504
58.0%
ASCII 1087
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
435
40.0%
* 379
34.9%
, 93
 
8.6%
( 75
 
6.9%
) 75
 
6.9%
B 7
 
0.6%
- 7
 
0.6%
M 2
 
0.2%
S 2
 
0.2%
l 2
 
0.2%
Other values (10) 10
 
0.9%
Hangul
ValueCountFrequency (%)
서 204
 
13.6%
초 125
 
8.3%
동 84
 
5.6%
시 79
 
5.3%
특 75
 
5.0%
별 75
 
5.0%
구 75
 
5.0%
울 75
 
5.0%
로 75
 
5.0%
층 49
 
3.3%
Other values (118) 588
39.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)88.6%
Missing42
Missing (%)54.5%
Infinite0
Infinite (%)0.0%
Mean10395.686
Minimum6509
Maximum137927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-11T09:40:13.669721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6509
5-th percentile6520.1
Q16583
median6645
Q36724
95-th percentile6783.5
Maximum137927
Range131418
Interquartile range (IQR)141

Descriptive statistics

Standard deviation22190.903
Coefficient of variation (CV)2.1346262
Kurtosis34.99893
Mean10395.686
Median Absolute Deviation (MAD)79
Skewness5.9159478
Sum363849
Variance4.924362 × 108
MonotonicityNot monotonic
2024-05-11T09:40:14.093822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
6724 4
 
5.2%
6596 2
 
2.6%
6761 1
 
1.3%
6632 1
 
1.3%
6651 1
 
1.3%
6530 1
 
1.3%
6727 1
 
1.3%
6683 1
 
1.3%
6642 1
 
1.3%
6541 1
 
1.3%
Other values (21) 21
27.3%
(Missing) 42
54.5%
ValueCountFrequency (%)
6509 1
1.3%
6511 1
1.3%
6524 1
1.3%
6527 1
1.3%
6530 1
1.3%
6541 1
1.3%
6544 1
1.3%
6569 1
1.3%
6577 1
1.3%
6589 1
1.3%
ValueCountFrequency (%)
137927 1
 
1.3%
6787 1
 
1.3%
6782 1
 
1.3%
6761 1
 
1.3%
6753 1
 
1.3%
6744 1
 
1.3%
6727 1
 
1.3%
6725 1
 
1.3%
6724 4
5.2%
6688 1
 
1.3%

사업장명
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-05-11T09:40:14.619301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length9.3636364
Min length3

Characters and Unicode

Total characters721
Distinct characters191
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)100.0%

Sample

1st row(주)경성미디어
2nd row(주)아트박스
3rd row쎄텍(주)
4th row(주)오콘
5th row더부뮤직(주)
ValueCountFrequency (%)
주식회사 13
 
12.5%
주)경성미디어 1
 
1.0%
유)포부콜렉티브코리아 1
 
1.0%
주)드림어스컴퍼니 1
 
1.0%
주)와이지플러스 1
 
1.0%
주)예전미디어 1
 
1.0%
유나이티드문화재단 1
 
1.0%
재단법인 1
 
1.0%
주)헤븐센스컴퍼니 1
 
1.0%
큐리어스랩 1
 
1.0%
Other values (82) 82
78.8%
2024-05-11T09:40:16.221018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 55
 
7.6%
( 47
 
6.5%
) 47
 
6.5%
27
 
3.7%
스 24
 
3.3%
리 18
 
2.5%
이 17
 
2.4%
뮤 16
 
2.2%
사 15
 
2.1%
회 14
 
1.9%
Other values (181) 441
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 512
71.0%
Uppercase Letter 68
 
9.4%
Open Punctuation 47
 
6.5%
Close Punctuation 47
 
6.5%
Space Separator 27
 
3.7%
Lowercase Letter 16
 
2.2%
Decimal Number 2
 
0.3%
Dash Punctuation 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 55
 
10.7%
스 24
 
4.7%
리 18
 
3.5%
이 17
 
3.3%
뮤 16
 
3.1%
사 15
 
2.9%
회 14
 
2.7%
아 13
 
2.5%
식 13
 
2.5%
직 13
 
2.5%
Other values (144) 314
61.3%
Uppercase Letter
ValueCountFrequency (%)
S 11
16.2%
I 9
13.2%
U 7
10.3%
C 6
8.8%
A 5
7.4%
N 5
7.4%
O 4
 
5.9%
E 3
 
4.4%
M 3
 
4.4%
R 3
 
4.4%
Other values (8) 12
17.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
12.5%
r 2
12.5%
e 2
12.5%
m 2
12.5%
s 1
6.2%
n 1
6.2%
c 1
6.2%
i 1
6.2%
l 1
6.2%
f 1
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 512
71.0%
Common 125
 
17.3%
Latin 84
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 55
 
10.7%
스 24
 
4.7%
리 18
 
3.5%
이 17
 
3.3%
뮤 16
 
3.1%
사 15
 
2.9%
회 14
 
2.7%
아 13
 
2.5%
식 13
 
2.5%
직 13
 
2.5%
Other values (144) 314
61.3%
Latin
ValueCountFrequency (%)
S 11
 
13.1%
I 9
 
10.7%
U 7
 
8.3%
C 6
 
7.1%
A 5
 
6.0%
N 5
 
6.0%
O 4
 
4.8%
E 3
 
3.6%
M 3
 
3.6%
R 3
 
3.6%
Other values (20) 28
33.3%
Common
ValueCountFrequency (%)
( 47
37.6%
) 47
37.6%
27
21.6%
1 1
 
0.8%
2 1
 
0.8%
- 1
 
0.8%
. 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 512
71.0%
ASCII 209
29.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 55
 
10.7%
스 24
 
4.7%
리 18
 
3.5%
이 17
 
3.3%
뮤 16
 
3.1%
사 15
 
2.9%
회 14
 
2.7%
아 13
 
2.5%
식 13
 
2.5%
직 13
 
2.5%
Other values (144) 314
61.3%
ASCII
ValueCountFrequency (%)
( 47
22.5%
) 47
22.5%
27
12.9%
S 11
 
5.3%
I 9
 
4.3%
U 7
 
3.3%
C 6
 
2.9%
A 5
 
2.4%
N 5
 
2.4%
O 4
 
1.9%
Other values (27) 41
19.6%

최종수정일자
Date

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum2006-04-04 14:36:00
Maximum2024-04-30 14:50:36
2024-05-11T09:40:16.786811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T09:40:17.326314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
I
67 
U
9 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
I 67
87.0%
U 9
 
11.7%
D 1
 
1.3%

Length

2024-05-11T09:40:17.923947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:18.413558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 67
87.0%
u 9
 
11.7%
d 1
 
1.3%

데이터갱신일자
Categorical

IMBALANCE 

Distinct24
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Memory size748.0 B
2018-08-31 23:59:59.0
54 
2021-03-14 02:40:00.0
 
1
2019-08-25 02:40:00.0
 
1
2019-07-24 02:40:00.0
 
1
2021-12-03 22:07:00.0
 
1
Other values (19)
19 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique23 ?
Unique (%)29.9%

Sample

1st row2018-08-31 23:59:59.0
2nd row2021-03-14 02:40:00.0
3rd row2018-08-31 23:59:59.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 54
70.1%
2021-03-14 02:40:00.0 1
 
1.3%
2019-08-25 02:40:00.0 1
 
1.3%
2019-07-24 02:40:00.0 1
 
1.3%
2021-12-03 22:07:00.0 1
 
1.3%
2021-12-04 23:04:00.0 1
 
1.3%
2023-12-05 00:02:00.0 1
 
1.3%
2018-11-25 02:36:47.0 1
 
1.3%
2019-08-30 02:22:32.0 1
 
1.3%
2020-04-02 00:23:32.0 1
 
1.3%
Other values (14) 14
 
18.2%

Length

2024-05-11T09:40:18.743680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 54
35.1%
23:59:59.0 54
35.1%
02:40:00.0 4
 
2.6%
23:04:00.0 3
 
1.9%
2021-12-03 2
 
1.3%
2022-12-03 2
 
1.3%
00:23:10.0 2
 
1.3%
22:00:00.0 1
 
0.6%
22:09:00.0 1
 
0.6%
2022-12-05 1
 
0.6%
Other values (30) 30
19.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

좌표정보(X)
Real number (ℝ)

Distinct72
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201360.12
Minimum198359.03
Maximum204076.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-11T09:40:19.099013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198359.03
5-th percentile198804.86
Q1200644.39
median201361.14
Q3202115.41
95-th percentile203729.15
Maximum204076.25
Range5717.2204
Interquartile range (IQR)1471.0164

Descriptive statistics

Standard deviation1388.817
Coefficient of variation (CV)0.0068971803
Kurtosis-0.2819383
Mean201360.12
Median Absolute Deviation (MAD)754.27371
Skewness-0.085386088
Sum15504729
Variance1928812.7
MonotonicityNot monotonic
2024-05-11T09:40:19.513517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201990.741998075 3
 
3.9%
199944.939861171 2
 
2.6%
204076.252848699 2
 
2.6%
199988.339466379 2
 
2.6%
201076.091513043 1
 
1.3%
202120.820237578 1
 
1.3%
202117.592232177 1
 
1.3%
200576.608647619 1
 
1.3%
200644.394363411 1
 
1.3%
199337.629172625 1
 
1.3%
Other values (62) 62
80.5%
ValueCountFrequency (%)
198359.032400861 1
1.3%
198532.940717328 1
1.3%
198611.331774553 1
1.3%
198678.995840284 1
1.3%
198836.324746887 1
1.3%
199109.468225375 1
1.3%
199295.124468099 1
1.3%
199337.629172625 1
1.3%
199563.715754841 1
1.3%
199679.222967821 1
1.3%
ValueCountFrequency (%)
204076.252848699 2
2.6%
203939.633381661 1
1.3%
203768.591791223 1
1.3%
203719.291665025 1
1.3%
203666.725 1
1.3%
203494.186062492 1
1.3%
203394.59 1
1.3%
203333.453682041 1
1.3%
203255.042422551 1
1.3%
203234.693842847 1
1.3%

좌표정보(Y)
Real number (ℝ)

Distinct72
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443073.17
Minimum440634.62
Maximum446565.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-11T09:40:19.960527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440634.62
5-th percentile441189.2
Q1442361.33
median442893.97
Q3443606.13
95-th percentile445754.91
Maximum446565.03
Range5930.4041
Interquartile range (IQR)1244.7986

Descriptive statistics

Standard deviation1358.1564
Coefficient of variation (CV)0.0030653094
Kurtosis0.044127236
Mean443073.17
Median Absolute Deviation (MAD)691.87375
Skewness0.55507008
Sum34116634
Variance1844588.8
MonotonicityNot monotonic
2024-05-11T09:40:20.566456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442433.148687375 3
 
3.9%
443606.126104092 2
 
2.6%
441363.426805983 2
 
2.6%
445001.037013007 2
 
2.6%
442354.047946878 1
 
1.3%
442523.365914971 1
 
1.3%
444488.18998182 1
 
1.3%
445241.8984183 1
 
1.3%
442969.648229986 1
 
1.3%
442018.956063847 1
 
1.3%
Other values (62) 62
80.5%
ValueCountFrequency (%)
440634.624615443 1
1.3%
440694.901050366 1
1.3%
440726.19 1
1.3%
440753.993971457 1
1.3%
441297.995384346 1
1.3%
441328.343747104 1
1.3%
441363.426805983 2
2.6%
441387.979991849 1
1.3%
441462.632873315 1
1.3%
441543.986217707 1
1.3%
ValueCountFrequency (%)
446565.028672992 1
1.3%
446100.917105583 1
1.3%
446001.020167893 1
1.3%
445912.753033864 1
1.3%
445715.447249109 1
1.3%
445710.713476565 1
1.3%
445241.8984183 1
1.3%
445001.037013007 2
2.6%
444933.012276862 1
1.3%
444773.040559243 1
1.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
음반.음악영상물배급업
68 
<NA>
9 

Length

Max length11
Median length11
Mean length10.181818
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음반.음악영상물배급업 68
88.3%
<NA> 9
 
11.7%

Length

2024-05-11T09:40:21.152730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:21.576461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물배급업 68
88.3%
na 9
 
11.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
유통관련업
68 
<NA>
9 

Length

Max length5
Median length5
Mean length4.8831169
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 68
88.3%
<NA> 9
 
11.7%

Length

2024-05-11T09:40:22.227269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:22.633786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 68
88.3%
na 9
 
11.7%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
75 
12
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.9350649
Min length1

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 75
97.4%
12 1
 
1.3%
0 1
 
1.3%

Length

2024-05-11T09:40:22.987093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:23.324553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 75
97.4%
12 1
 
1.3%
0 1
 
1.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

제작취급품목내용
Text

MISSING 

Distinct29
Distinct (%)50.0%
Missing19
Missing (%)24.7%
Memory size748.0 B
2024-05-11T09:40:23.828240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length5.9655172
Min length2

Characters and Unicode

Total characters346
Distinct characters54
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

Unique27 ?
Unique (%)46.6%

Sample

1st row음반
2nd row음반, 음악영상물
3rd row음반
4th row음반
5th row음반
ValueCountFrequency (%)
음반 41
43.6%
영상물 7
 
7.4%
음악영상물 5
 
5.3%
및 4
 
4.3%
dvd 2
 
2.1%
배급 2
 
2.1%
음원 2
 
2.1%
대중가요 1
 
1.1%
음반/음악영상 1
 
1.1%
디지털음원 1
 
1.1%
Other values (28) 28
29.8%
2024-05-11T09:40:24.953571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 73
21.1%
반 52
15.0%
36
10.4%
, 23
 
6.6%
영 21
 
6.1%
상 21
 
6.1%
물 16
 
4.6%
악 15
 
4.3%
D 9
 
2.6%
원 6
 
1.7%
Other values (44) 74
21.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 258
74.6%
Space Separator 36
 
10.4%
Other Punctuation 29
 
8.4%
Uppercase Letter 19
 
5.5%
Close Punctuation 2
 
0.6%
Open Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 73
28.3%
반 52
20.2%
영 21
 
8.1%
상 21
 
8.1%
물 16
 
6.2%
악 15
 
5.8%
원 6
 
2.3%
디 4
 
1.6%
및 4
 
1.6%
급 4
 
1.6%
Other values (31) 42
16.3%
Uppercase Letter
ValueCountFrequency (%)
D 9
47.4%
C 5
26.3%
V 2
 
10.5%
T 1
 
5.3%
S 1
 
5.3%
O 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 23
79.3%
. 4
 
13.8%
/ 1
 
3.4%
? 1
 
3.4%
Space Separator
ValueCountFrequency (%)
36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 258
74.6%
Common 69
 
19.9%
Latin 19
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 73
28.3%
반 52
20.2%
영 21
 
8.1%
상 21
 
8.1%
물 16
 
6.2%
악 15
 
5.8%
원 6
 
2.3%
디 4
 
1.6%
및 4
 
1.6%
급 4
 
1.6%
Other values (31) 42
16.3%
Common
ValueCountFrequency (%)
36
52.2%
, 23
33.3%
. 4
 
5.8%
) 2
 
2.9%
( 2
 
2.9%
/ 1
 
1.4%
? 1
 
1.4%
Latin
ValueCountFrequency (%)
D 9
47.4%
C 5
26.3%
V 2
 
10.5%
T 1
 
5.3%
S 1
 
5.3%
O 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 258
74.6%
ASCII 88
 
25.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 73
28.3%
반 52
20.2%
영 21
 
8.1%
상 21
 
8.1%
물 16
 
6.2%
악 15
 
5.8%
원 6
 
2.3%
디 4
 
1.6%
및 4
 
1.6%
급 4
 
1.6%
Other values (31) 42
16.3%
ASCII
ValueCountFrequency (%)
36
40.9%
, 23
26.1%
D 9
 
10.2%
C 5
 
5.7%
. 4
 
4.5%
) 2
 
2.3%
( 2
 
2.3%
V 2
 
2.3%
T 1
 
1.1%
S 1
 
1.1%
Other values (3) 3
 
3.4%

시설면적
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)100.0%
Missing69
Missing (%)89.6%
Infinite0
Infinite (%)0.0%
Mean86.51875
Minimum10
Maximum265.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-05-11T09:40:25.484347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12.275
Q119.125
median48.545
Q3115.75
95-th percentile240.164
Maximum265.56
Range255.56
Interquartile range (IQR)96.625

Descriptive statistics

Standard deviation94.030159
Coefficient of variation (CV)1.0868183
Kurtosis0.546659
Mean86.51875
Median Absolute Deviation (MAD)35.295
Skewness1.3067767
Sum692.15
Variance8841.6709
MonotonicityNot monotonic
2024-05-11T09:40:25.939297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
10.0 1
 
1.3%
16.5 1
 
1.3%
63.02 1
 
1.3%
90.0 1
 
1.3%
34.07 1
 
1.3%
20.0 1
 
1.3%
193.0 1
 
1.3%
265.56 1
 
1.3%
(Missing) 69
89.6%
ValueCountFrequency (%)
10.0 1
1.3%
16.5 1
1.3%
20.0 1
1.3%
34.07 1
1.3%
63.02 1
1.3%
90.0 1
1.3%
193.0 1
1.3%
265.56 1
1.3%
ValueCountFrequency (%)
265.56 1
1.3%
193.0 1
1.3%
90.0 1
1.3%
63.02 1
1.3%
34.07 1
1.3%
20.0 1
1.3%
16.5 1
1.3%
10.0 1
1.3%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
76 
0
 
1

Length

Max length4
Median length4
Mean length3.961039
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
98.7%
0 1
 
1.3%

Length

2024-05-11T09:40:26.403191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:26.750483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
98.7%
0 1
 
1.3%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
76 
0
 
1

Length

Max length4
Median length4
Mean length3.961039
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
98.7%
0 1
 
1.3%

Length

2024-05-11T09:40:27.196350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:27.522909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
98.7%
0 1
 
1.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
76 
0
 
1

Length

Max length4
Median length4
Mean length3.961039
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
98.7%
0 1
 
1.3%

Length

2024-05-11T09:40:27.959669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:28.420579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
98.7%
0 1
 
1.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
76 
0
 
1

Length

Max length4
Median length4
Mean length3.961039
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
98.7%
0 1
 
1.3%

Length

2024-05-11T09:40:28.925052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:29.435428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
98.7%
0 1
 
1.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
76 
0
 
1

Length

Max length4
Median length4
Mean length3.961039
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
98.7%
0 1
 
1.3%

Length

2024-05-11T09:40:30.000501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:30.616660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
98.7%
0 1
 
1.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
76 
0
 
1

Length

Max length4
Median length4
Mean length3.961039
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
98.7%
0 1
 
1.3%

Length

2024-05-11T09:40:31.173318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:31.561888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
98.7%
0 1
 
1.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
<NA>
76 
0
 
1

Length

Max length4
Median length4
Mean length3.961039
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 76
98.7%
0 1
 
1.3%

Length

2024-05-11T09:40:32.225464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T09:40:32.780307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 76
98.7%
0 1
 
1.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing77
Missing (%)100.0%
Memory size825.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03210000CDFF324110199900000119990531<NA>1영업/정상13영업중<NA><NA><NA><NA>521-2043<NA>137860서울특별시 서초구 서초동 ****-*번지 삼동빌딩 지층서울특별시 서초구 효령로**길 ** (서초동,삼동빌딩 지층)<NA>(주)경성미디어2006-05-19 15:40:00I2018-08-31 23:59:59.0<NA>202490.951136443272.339333음반.음악영상물배급업유통관련업<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>
13210000CDFF324110199900000219990927<NA>1영업/정상13영업중<NA><NA><NA><NA>520-0203<NA><NA>서울특별시 서초구 서초동 ****-**서울특별시 서초구 반포대로**길 ** (서초동)6653(주)아트박스2021-03-12 16:01:57U2021-03-14 02:40:00.0<NA>201134.314606442565.826089음반.음악영상물배급업유통관련업<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>
23210000CDFF324110199900000319990907<NA>3폐업3폐업20061030<NA><NA><NA><NA><NA>137890서울특별시 서초구 양재동 **-**번지 정우빌딩 *층서울특별시 서초구 양재천로**길 ** (양재동,정우빌딩 *층)<NA>쎄텍(주)2006-11-01 11:48:35I2018-08-31 23:59:59.0<NA>203394.59441580.695음반.음악영상물배급업유통관련업<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>
33210000CDFF324110200000000120000112<NA>3폐업3폐업20121204<NA><NA><NA>3444-4411<NA>137876서울특별시 서초구 서초동 ****-*번지 탑스벤처타워 *층서울특별시 서초구 반포대로**길 ** (서초동,탑스벤처타워 *층)<NA>(주)오콘2012-12-04 17:07:11I2018-08-31 23:59:59.0<NA>201023.448282442624.173964음반.음악영상물배급업유통관련업<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>
43210000CDFF324110200000000220000518<NA>1영업/정상13영업중<NA><NA><NA><NA>571-8249<NA>137875서울특별시 서초구 서초동 ****-*번지 에덴빌딩 *층서울특별시 서초구 서초대로**길 *** (서초동,에덴빌딩 *층)<NA>더부뮤직(주)2006-06-13 15:59:49I2018-08-31 23:59:59.0<NA>201049.593819442893.970026음반.음악영상물배급업유통관련업<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>
53210000CDFF324110200000000320000728<NA>1영업/정상13영업중<NA><NA><NA><NA>534-2181<NA>137898서울특별시 서초구 양재동 ***-*번지 대화빌딩 *층서울특별시 서초구 강남대로*길 ** (양재동,대화빌딩 *층)<NA>(주)엔텍시스템2006-06-13 16:16:22I2018-08-31 23:59:59.0<NA>203939.633382440634.624615음반.음악영상물배급업유통관련업<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>
63210000CDFF324110200000000420000602<NA>1영업/정상13영업중<NA><NA><NA><NA>598-1426<NA>137878서울특별시 서초구 서초동 ****-*번지 지층서울특별시 서초구 사임당로**길 ** (서초동,지층)<NA>LUNAR ACOUSTICS2006-06-21 15:33:59I2018-08-31 23:59:59.0<NA>201423.228655442899.672577음반.음악영상물배급업유통관련업<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>
73210000CDFF324110200000000520000619<NA>1영업/정상13영업중<NA><NA><NA><NA>594-8247<NA>137806서울특별시 서초구 반포동 **-*번지 서창빌딩 ***호서울특별시 서초구 서래로 **, ***호 (반포동,서창빌딩)<NA>(주)바람과우산그리고조각배와반달의이야기2006-06-21 16:47:48I2018-08-31 23:59:59.0<NA>199764.775594444106.170979음반.음악영상물배급업유통관련업<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>
83210000CDFF324110200000000620001228<NA>1영업/정상13영업중<NA><NA><NA><NA>592-6650<NA>137837서울특별시 서초구 방배동 ***-*번지서울특별시 서초구 방배로 *** (방배동)<NA>(주)한세엔터테인먼트2006-06-23 15:28:51I2018-08-31 23:59:59.0<NA>199295.124468443049.05878음반.음악영상물배급업유통관련업<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>
93210000CDFF324110200100000220010222<NA>1영업/정상13영업중<NA><NA><NA><NA>573-3005<NA>137900서울특별시 서초구 우면동 **-*번지 우정빌딩 *층서울특별시 서초구 바우뫼로*길 ** (우면동,우정빌딩 *층)<NA>뮤직디피(주)2006-06-13 15:27:30I2018-08-31 23:59:59.0<NA>202390.576862440694.90105음반.음악영상물배급업유통관련업<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
673210000CDFF324110202100000120210415<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2232-3243<NA><NA>서울특별시 서초구 서초동 **** 정곡빌딩남관서울특별시 서초구 법원로 **, 정곡빌딩남관 ***호 (서초동)6596(재)예수그리스도 후기 성도교회2021-04-15 14:45:56I2021-04-17 00:22:58.0<NA>200917.532026443524.124863음반.음악영상물배급업유통관련업<NA><NA>CD 및 DVD 배급, 음반/음악영상 제작 및 스트리밍<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
683210000CDFF324110202100000220210420<NA>1영업/정상13영업중<NA><NA><NA><NA>02-333-3041<NA><NA>서울특별시 서초구 서초동 ****-** 스타엠파이어빌딩서울특별시 서초구 남부순환로***가길 **-*, 스타엠파이어빌딩 B*층 (서초동)6724주식회사 케이판2021-04-20 16:08:19I2021-04-22 00:23:10.0<NA>201990.741998442433.148687음반.음악영상물배급업유통관련업<NA><NA>음반, 음악영상물20.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
693210000CDFF324110202100000320210427<NA>3폐업3폐업20220121<NA><NA><NA>02-529-1488<NA><NA>서울특별시 서초구 반포동 ***-** 무사이서울특별시 서초구 동광로 ***, 무사이 *층 (반포동)6589구십이번지 주식회사2022-01-21 10:48:49U2022-01-23 02:40:00.0<NA>199944.939861443606.126104음반.음악영상물배급업유통관련업<NA><NA>오디오, 드라마 OST193.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
703210000CDFF324110202100000520211214<NA>1영업/정상13영업중<NA><NA><NA><NA>031-9480-8877<NA><NA>서울특별시 서초구 반포동 ***-* 신논현타워서울특별시 서초구 강남대로 ***, 신논현타워 *층 (반포동)6541(주)바른손랩스2021-12-14 15:13:52I2021-12-16 00:22:43.0<NA>202026.501547444773.040559음반.음악영상물배급업유통관련업0<NA>대중가요, 디지털음원 등265.5600<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
713210000CDFF324110202200000120220412<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8802-9719<NA><NA>서울특별시 서초구 서초동 ****-* 블레어가든서울특별시 서초구 서초중앙로*길 ***, 블레어가든 *,*,*,*층 (서초동)6642주식회사 메타크루엔터테인먼트2022-04-12 17:04:47I2021-12-03 23:04:00.0<NA>201993.983585442833.256494<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
723210000CDFF32411020220000022022-07-13<NA>5제외/삭제/전출15전출2023-05-17<NA><NA><NA>02-3487-2022<NA><NA>서울특별시 서초구 방배동 ***-** 디엠타워 *관서울특별시 서초구 방배로 ***, 디엠타워 *관 *층 (방배동)6683(주)카우라2023-05-17 13:25:10U2022-12-04 23:09:00.0<NA>199563.715755442383.113143<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
733210000CDFF32411020230000012023-01-05<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3463-0914<NA><NA>서울특별시 서초구 서초동 **** 동국빌딩서울특별시 서초구 효령로**길 **, 동국빌딩 ***호 (서초동)6727주식회사 쓰리프레임2023-04-18 15:11:10D2022-12-03 22:00:00.0<NA>202320.417436442801.212332<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
743210000CDFF32411020230000022016-07-18<NA>1영업/정상13영업중<NA><NA><NA><NA>02-545-8517<NA><NA>서울특별시 서초구 잠원동 **-* 대웅빌딩서울특별시 서초구 강남대로**길 **, 대웅빌딩 *층 (잠원동)6530마장뮤직앤픽처스(주)2023-04-27 13:55:38U2022-12-03 22:09:00.0<NA>201610.06883445710.713477<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
753210000CDFF32411020230000032020-03-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서초구 서초동 ****-* RM서초빌딩서울특별시 서초구 서초중앙로 **-*, RM서초빌딩 *층 (서초동)6651주식회사 알엠소프트2023-06-16 14:49:14I2022-12-05 23:08:00.0<NA>201199.064909442819.494552<NA><NA><NA><NA><NA><NA><NA><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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