Overview

Dataset statistics

Number of variables56
Number of observations96
Missing cells2438
Missing cells (%)45.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory45.6 KiB
Average record size in memory486.4 B

Variable types

Categorical21
Text6
DateTime3
Unsupported22
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author관악구
URLhttps://data.seoul.go.kr/dataList/OA-17822/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (71.0%)Imbalance
주변환경명 is highly imbalanced (79.9%)Imbalance
지상층수 is highly imbalanced (71.2%)Imbalance
지하층수 is highly imbalanced (60.8%)Imbalance
통로너비 is highly imbalanced (75.0%)Imbalance
조명시설조도 is highly imbalanced (75.0%)Imbalance
노래방실수 is highly imbalanced (75.0%)Imbalance
청소년실수 is highly imbalanced (75.0%)Imbalance
총게임기수 is highly imbalanced (75.0%)Imbalance
지역구분명 is highly imbalanced (75.1%)Imbalance
인허가취소일자 has 96 (100.0%) missing valuesMissing
폐업일자 has 55 (57.3%) missing valuesMissing
휴업시작일자 has 96 (100.0%) missing valuesMissing
휴업종료일자 has 96 (100.0%) missing valuesMissing
재개업일자 has 96 (100.0%) missing valuesMissing
전화번호 has 52 (54.2%) missing valuesMissing
소재지면적 has 96 (100.0%) missing valuesMissing
도로명우편번호 has 47 (49.0%) missing valuesMissing
업태구분명 has 96 (100.0%) missing valuesMissing
시설면적 has 81 (84.4%) missing valuesMissing
건물용도명 has 91 (94.8%) missing valuesMissing
비상계단여부 has 96 (100.0%) missing valuesMissing
비상구여부 has 96 (100.0%) missing valuesMissing
자동환기여부 has 96 (100.0%) missing valuesMissing
청소년실여부 has 96 (100.0%) missing valuesMissing
특수조명여부 has 96 (100.0%) missing valuesMissing
방음시설여부 has 96 (100.0%) missing valuesMissing
비디오재생기명 has 96 (100.0%) missing valuesMissing
조명시설유무 has 96 (100.0%) missing valuesMissing
음향시설여부 has 96 (100.0%) missing valuesMissing
편의시설여부 has 96 (100.0%) missing valuesMissing
소방시설여부 has 96 (100.0%) missing valuesMissing
기존게임업외업종명 has 96 (100.0%) missing valuesMissing
제공게임물명 has 96 (100.0%) missing valuesMissing
공연장형태구분명 has 96 (100.0%) missing valuesMissing
품목명 has 96 (100.0%) missing valuesMissing
최초등록시점 has 96 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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
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 2 (2.1%) zerosZeros

Reproduction

Analysis started2024-04-29 19:28:00.425604
Analysis finished2024-04-29 19:28:01.232589
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
3200000
96 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3200000
2nd row3200000
3rd row3200000
4th row3200000
5th row3200000

Common Values

ValueCountFrequency (%)
3200000 96
100.0%

Length

2024-04-30T04:28:01.295864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:01.368452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3200000 96
100.0%

관리번호
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-04-30T04:28:01.508083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1920
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

Unique96 ?
Unique (%)100.0%

Sample

1st rowCDFF3241061997000001
2nd rowCDFF3241061997000002
3rd rowCDFF3241061997000003
4th rowCDFF3241061997000004
5th rowCDFF3241061999000001
ValueCountFrequency (%)
cdff3241061997000001 1
 
1.0%
cdff3241061997000002 1
 
1.0%
cdff3241062019000003 1
 
1.0%
cdff3241062019000002 1
 
1.0%
cdff3241062019000001 1
 
1.0%
cdff3241062018000004 1
 
1.0%
cdff3241062018000003 1
 
1.0%
cdff3241062018000002 1
 
1.0%
cdff3241062018000001 1
 
1.0%
cdff3241062017000005 1
 
1.0%
Other values (86) 86
89.6%
2024-04-30T04:28:01.831237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 720
37.5%
2 244
 
12.7%
F 192
 
10.0%
1 164
 
8.5%
3 128
 
6.7%
4 116
 
6.0%
6 104
 
5.4%
C 96
 
5.0%
D 96
 
5.0%
9 25
 
1.3%
Other values (3) 35
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1536
80.0%
Uppercase Letter 384
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 720
46.9%
2 244
 
15.9%
1 164
 
10.7%
3 128
 
8.3%
4 116
 
7.6%
6 104
 
6.8%
9 25
 
1.6%
7 16
 
1.0%
5 12
 
0.8%
8 7
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 192
50.0%
C 96
25.0%
D 96
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1536
80.0%
Latin 384
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 720
46.9%
2 244
 
15.9%
1 164
 
10.7%
3 128
 
8.3%
4 116
 
7.6%
6 104
 
6.8%
9 25
 
1.6%
7 16
 
1.0%
5 12
 
0.8%
8 7
 
0.5%
Latin
ValueCountFrequency (%)
F 192
50.0%
C 96
25.0%
D 96
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 720
37.5%
2 244
 
12.7%
F 192
 
10.0%
1 164
 
8.5%
3 128
 
6.7%
4 116
 
6.0%
6 104
 
5.4%
C 96
 
5.0%
D 96
 
5.0%
9 25
 
1.3%
Other values (3) 35
 
1.8%

인허가일자
Date

Distinct95
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum1997-09-03 00:00:00
Maximum2023-09-15 00:00:00
2024-04-30T04:28:02.010072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:28:02.160717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
1
55 
3
38 
5
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 55
57.3%
3 38
39.6%
5 2
 
2.1%
4 1
 
1.0%

Length

2024-04-30T04:28:02.288108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:02.396594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 55
57.3%
3 38
39.6%
5 2
 
2.1%
4 1
 
1.0%

영업상태명
Categorical

Distinct4
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
영업/정상
55 
폐업
38 
제외/삭제/전출
 
2
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length3.96875
Min length2

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 55
57.3%
폐업 38
39.6%
제외/삭제/전출 2
 
2.1%
취소/말소/만료/정지/중지 1
 
1.0%

Length

2024-04-30T04:28:02.519472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:02.639716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 55
57.3%
폐업 38
39.6%
제외/삭제/전출 2
 
2.1%
취소/말소/만료/정지/중지 1
 
1.0%

상세영업상태코드
Categorical

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
13
55 
3
37 
15
 
2
35
 
1
34
 
1

Length

Max length2
Median length2
Mean length1.6145833
Min length1

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
13 55
57.3%
3 37
38.5%
15 2
 
2.1%
35 1
 
1.0%
34 1
 
1.0%

Length

2024-04-30T04:28:02.772986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:02.906124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 55
57.3%
3 37
38.5%
15 2
 
2.1%
35 1
 
1.0%
34 1
 
1.0%

상세영업상태명
Categorical

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
영업중
55 
폐업
37 
전출
 
2
직권말소
 
1
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.625
Min length2

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 55
57.3%
폐업 37
38.5%
전출 2
 
2.1%
직권말소 1
 
1.0%
영업장폐쇄 1
 
1.0%

Length

2024-04-30T04:28:03.045602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:03.160281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 55
57.3%
폐업 37
38.5%
전출 2
 
2.1%
직권말소 1
 
1.0%
영업장폐쇄 1
 
1.0%

폐업일자
Date

MISSING 

Distinct41
Distinct (%)100.0%
Missing55
Missing (%)57.3%
Memory size900.0 B
Minimum2007-03-27 00:00:00
Maximum2024-01-29 00:00:00
2024-04-30T04:28:03.295470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:28:03.450336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

전화번호
Text

MISSING 

Distinct43
Distinct (%)97.7%
Missing52
Missing (%)54.2%
Memory size900.0 B
2024-04-30T04:28:03.646437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length8.75
Min length8

Characters and Unicode

Total characters385
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

Unique42 ?
Unique (%)95.5%

Sample

1st row885-0142
2nd row877-1335-6
3rd row875-6028
4th row888-3030
5th row884-2035
ValueCountFrequency (%)
875-1030 2
 
4.5%
3444-5050 1
 
2.3%
885-0142 1
 
2.3%
876-8688 1
 
2.3%
2242-4969 1
 
2.3%
313-2871 1
 
2.3%
336-3801 1
 
2.3%
882-2114 1
 
2.3%
511-3143 1
 
2.3%
2234-4992 1
 
2.3%
Other values (33) 33
75.0%
2024-04-30T04:28:03.964173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 66
17.1%
- 52
13.5%
0 48
12.5%
3 43
11.2%
2 36
9.4%
7 31
8.1%
1 27
7.0%
4 23
 
6.0%
9 22
 
5.7%
5 21
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 333
86.5%
Dash Punctuation 52
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 66
19.8%
0 48
14.4%
3 43
12.9%
2 36
10.8%
7 31
9.3%
1 27
8.1%
4 23
 
6.9%
9 22
 
6.6%
5 21
 
6.3%
6 16
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 66
17.1%
- 52
13.5%
0 48
12.5%
3 43
11.2%
2 36
9.4%
7 31
8.1%
1 27
7.0%
4 23
 
6.0%
9 22
 
5.7%
5 21
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 66
17.1%
- 52
13.5%
0 48
12.5%
3 43
11.2%
2 36
9.4%
7 31
8.1%
1 27
7.0%
4 23
 
6.0%
9 22
 
5.7%
5 21
 
5.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

소재지우편번호
Categorical

Distinct21
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
53 
151895
15 
151860
 
4
151836
 
2
151897
 
2
Other values (16)
20 

Length

Max length7
Median length4
Mean length4.90625
Min length4

Unique

Unique12 ?
Unique (%)12.5%

Sample

1st row151895
2nd row151860
3rd row151895
4th row151895
5th row151895

Common Values

ValueCountFrequency (%)
<NA> 53
55.2%
151895 15
 
15.6%
151860 4
 
4.2%
151836 2
 
2.1%
151897 2
 
2.1%
151800 2
 
2.1%
151015 2
 
2.1%
151858 2
 
2.1%
151856 2
 
2.1%
151823 1
 
1.0%
Other values (11) 11
 
11.5%

Length

2024-04-30T04:28:04.104864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 53
55.2%
151895 15
 
15.6%
151860 4
 
4.2%
151836 2
 
2.1%
151897 2
 
2.1%
151800 2
 
2.1%
151015 2
 
2.1%
151858 2
 
2.1%
151856 2
 
2.1%
151-895 1
 
1.0%
Other values (11) 11
 
11.5%

지번주소
Text

Distinct62
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-04-30T04:28:04.261672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length25.90625
Min length18

Characters and Unicode

Total characters2487
Distinct characters71
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

Unique50 ?
Unique (%)52.1%

Sample

1st row서울특별시 관악구 신림동 ****-*번지
2nd row서울특별시 관악구 신림동 ***-*번지
3rd row서울특별시 관악구 신림동 ****번지 지층*호
4th row서울특별시 관악구 신림동 ****-*번지
5th row서울특별시 관악구 신림동 ****-*번지
ValueCountFrequency (%)
서울특별시 96
20.8%
관악구 96
20.8%
번지 70
15.2%
신림동 57
12.3%
봉천동 35
 
7.6%
26
 
5.6%
호 23
 
5.0%
층 18
 
3.9%
지하*층 7
 
1.5%
동 5
 
1.1%
Other values (24) 29
 
6.3%
2024-04-30T04:28:04.522537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 600
24.1%
424
17.0%
동 102
 
4.1%
관 98
 
3.9%
악 98
 
3.9%
시 97
 
3.9%
서 96
 
3.9%
특 96
 
3.9%
별 96
 
3.9%
구 96
 
3.9%
Other values (61) 684
27.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1369
55.0%
Other Punctuation 603
24.2%
Space Separator 424
 
17.0%
Dash Punctuation 87
 
3.5%
Uppercase Letter 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 102
 
7.5%
관 98
 
7.2%
악 98
 
7.2%
시 97
 
7.1%
서 96
 
7.0%
특 96
 
7.0%
별 96
 
7.0%
구 96
 
7.0%
울 96
 
7.0%
지 79
 
5.8%
Other values (54) 415
30.3%
Other Punctuation
ValueCountFrequency (%)
* 600
99.5%
, 3
 
0.5%
Space Separator
ValueCountFrequency (%)
424
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 87
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1369
55.0%
Common 1116
44.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 102
 
7.5%
관 98
 
7.2%
악 98
 
7.2%
시 97
 
7.1%
서 96
 
7.0%
특 96
 
7.0%
별 96
 
7.0%
구 96
 
7.0%
울 96
 
7.0%
지 79
 
5.8%
Other values (54) 415
30.3%
Common
ValueCountFrequency (%)
* 600
53.8%
424
38.0%
- 87
 
7.8%
, 3
 
0.3%
) 1
 
0.1%
( 1
 
0.1%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1369
55.0%
ASCII 1118
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 600
53.7%
424
37.9%
- 87
 
7.8%
, 3
 
0.3%
B 2
 
0.2%
) 1
 
0.1%
( 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 102
 
7.5%
관 98
 
7.2%
악 98
 
7.2%
시 97
 
7.1%
서 96
 
7.0%
특 96
 
7.0%
별 96
 
7.0%
구 96
 
7.0%
울 96
 
7.0%
지 79
 
5.8%
Other values (54) 415
30.3%

도로명주소
Text

Distinct75
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-04-30T04:28:04.730328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length30.208333
Min length21

Characters and Unicode

Total characters2900
Distinct characters110
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

Unique65 ?
Unique (%)67.7%

Sample

1st row서울특별시 관악구 호암로**가길 * (신림동)
2nd row서울특별시 관악구 호암로**길 ** (신림동)
3rd row서울특별시 관악구 신림로**길 ** (신림동,지층*호)
4th row서울특별시 관악구 호암로**길 ** (신림동)
5th row서울특별시 관악구 대학*길 ** (신림동)
ValueCountFrequency (%)
서울특별시 96
17.1%
96
17.1%
관악구 96
17.1%
신림동 48
8.6%
봉천동 31
 
5.5%
호 25
 
4.5%
층 18
 
3.2%
신림로**길 14
 
2.5%
지하*층 10
 
1.8%
호암로**길 9
 
1.6%
Other values (73) 117
20.9%
2024-04-30T04:28:05.051574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
508
17.5%
* 466
16.1%
관 103
 
3.6%
악 102
 
3.5%
동 102
 
3.5%
시 98
 
3.4%
서 96
 
3.3%
) 96
 
3.3%
특 96
 
3.3%
별 96
 
3.3%
Other values (100) 1137
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1640
56.6%
Other Punctuation 546
 
18.8%
Space Separator 508
 
17.5%
Close Punctuation 96
 
3.3%
Open Punctuation 96
 
3.3%
Dash Punctuation 11
 
0.4%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 103
 
6.3%
악 102
 
6.2%
동 102
 
6.2%
시 98
 
6.0%
서 96
 
5.9%
특 96
 
5.9%
별 96
 
5.9%
구 96
 
5.9%
울 96
 
5.9%
림 80
 
4.9%
Other values (93) 675
41.2%
Other Punctuation
ValueCountFrequency (%)
* 466
85.3%
, 80
 
14.7%
Space Separator
ValueCountFrequency (%)
508
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1640
56.6%
Common 1257
43.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 103
 
6.3%
악 102
 
6.2%
동 102
 
6.2%
시 98
 
6.0%
서 96
 
5.9%
특 96
 
5.9%
별 96
 
5.9%
구 96
 
5.9%
울 96
 
5.9%
림 80
 
4.9%
Other values (93) 675
41.2%
Common
ValueCountFrequency (%)
508
40.4%
* 466
37.1%
) 96
 
7.6%
( 96
 
7.6%
, 80
 
6.4%
- 11
 
0.9%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1640
56.6%
ASCII 1260
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
508
40.3%
* 466
37.0%
) 96
 
7.6%
( 96
 
7.6%
, 80
 
6.3%
- 11
 
0.9%
B 3
 
0.2%
Hangul
ValueCountFrequency (%)
관 103
 
6.3%
악 102
 
6.2%
동 102
 
6.2%
시 98
 
6.0%
서 96
 
5.9%
특 96
 
5.9%
별 96
 
5.9%
구 96
 
5.9%
울 96
 
5.9%
림 80
 
4.9%
Other values (93) 675
41.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)77.6%
Missing47
Missing (%)49.0%
Infinite0
Infinite (%)0.0%
Mean17530.347
Minimum8707
Maximum151861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-30T04:28:05.173810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8707
5-th percentile8707.4
Q18745
median8781
Q38801
95-th percentile94622.6
Maximum151861
Range143154
Interquartile range (IQR)56

Descriptive statistics

Standard deviation34652.994
Coefficient of variation (CV)1.9767432
Kurtosis12.786514
Mean17530.347
Median Absolute Deviation (MAD)31
Skewness3.777016
Sum858987
Variance1.20083 × 109
MonotonicityNot monotonic
2024-04-30T04:28:05.296968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
8774 5
 
5.2%
8707 3
 
3.1%
8785 3
 
3.1%
8762 2
 
2.1%
8708 2
 
2.1%
8735 2
 
2.1%
8855 1
 
1.0%
8784 1
 
1.0%
8802 1
 
1.0%
8813 1
 
1.0%
Other values (28) 28
29.2%
(Missing) 47
49.0%
ValueCountFrequency (%)
8707 3
3.1%
8708 2
2.1%
8714 1
 
1.0%
8720 1
 
1.0%
8725 1
 
1.0%
8732 1
 
1.0%
8735 2
2.1%
8742 1
 
1.0%
8745 1
 
1.0%
8747 1
 
1.0%
ValueCountFrequency (%)
151861 1
1.0%
151834 1
1.0%
151801 1
1.0%
8855 1
1.0%
8852 1
1.0%
8849 1
1.0%
8821 1
1.0%
8820 1
1.0%
8813 1
1.0%
8812 1
1.0%

사업장명
Text

Distinct92
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size900.0 B
2024-04-30T04:28:05.521920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length7.96875
Min length2

Characters and Unicode

Total characters765
Distinct characters198
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

Unique90 ?
Unique (%)93.8%

Sample

1st row대승미디어
2nd row신관악
3rd row대명사미디어
4th row태학관
5th row가람미디어
ValueCountFrequency (%)
테마노래뮤비방 4
 
3.0%
엔터테인먼트 4
 
3.0%
주식회사 4
 
3.0%
영상노래 3
 
2.3%
뮤직 3
 
2.3%
music 2
 
1.5%
영상제작실 2
 
1.5%
티피스 1
 
0.8%
던뮤직 1
 
0.8%
신관악 1
 
0.8%
Other values (107) 107
81.1%
2024-04-30T04:28:05.861948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
 
4.7%
디 25
 
3.3%
뮤 24
 
3.1%
미 22
 
2.9%
어 20
 
2.6%
스 18
 
2.4%
( 16
 
2.1%
) 16
 
2.1%
직 14
 
1.8%
래 13
 
1.7%
Other values (188) 561
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 564
73.7%
Lowercase Letter 78
 
10.2%
Uppercase Letter 47
 
6.1%
Space Separator 36
 
4.7%
Open Punctuation 16
 
2.1%
Close Punctuation 16
 
2.1%
Decimal Number 6
 
0.8%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
디 25
 
4.4%
뮤 24
 
4.3%
미 22
 
3.9%
어 20
 
3.5%
스 18
 
3.2%
직 14
 
2.5%
래 13
 
2.3%
리 13
 
2.3%
주 11
 
2.0%
테 11
 
2.0%
Other values (147) 393
69.7%
Uppercase Letter
ValueCountFrequency (%)
M 6
12.8%
O 5
10.6%
E 5
10.6%
B 5
10.6%
S 4
8.5%
H 4
8.5%
R 3
 
6.4%
N 2
 
4.3%
D 2
 
4.3%
P 2
 
4.3%
Other values (8) 9
19.1%
Lowercase Letter
ValueCountFrequency (%)
n 9
11.5%
t 9
11.5%
u 8
10.3%
s 8
10.3%
e 7
9.0%
i 7
9.0%
a 6
7.7%
r 5
6.4%
o 4
 
5.1%
m 3
 
3.8%
Other values (6) 12
15.4%
Decimal Number
ValueCountFrequency (%)
0 3
50.0%
1 2
33.3%
2 1
 
16.7%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 564
73.7%
Latin 125
 
16.3%
Common 76
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
디 25
 
4.4%
뮤 24
 
4.3%
미 22
 
3.9%
어 20
 
3.5%
스 18
 
3.2%
직 14
 
2.5%
래 13
 
2.3%
리 13
 
2.3%
주 11
 
2.0%
테 11
 
2.0%
Other values (147) 393
69.7%
Latin
ValueCountFrequency (%)
n 9
 
7.2%
t 9
 
7.2%
u 8
 
6.4%
s 8
 
6.4%
e 7
 
5.6%
i 7
 
5.6%
a 6
 
4.8%
M 6
 
4.8%
O 5
 
4.0%
E 5
 
4.0%
Other values (24) 55
44.0%
Common
ValueCountFrequency (%)
36
47.4%
( 16
21.1%
) 16
21.1%
0 3
 
3.9%
1 2
 
2.6%
. 2
 
2.6%
2 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 564
73.7%
ASCII 201
 
26.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
17.9%
( 16
 
8.0%
) 16
 
8.0%
n 9
 
4.5%
t 9
 
4.5%
u 8
 
4.0%
s 8
 
4.0%
e 7
 
3.5%
i 7
 
3.5%
a 6
 
3.0%
Other values (31) 79
39.3%
Hangul
ValueCountFrequency (%)
디 25
 
4.4%
뮤 24
 
4.3%
미 22
 
3.9%
어 20
 
3.5%
스 18
 
3.2%
직 14
 
2.5%
래 13
 
2.3%
리 13
 
2.3%
주 11
 
2.0%
테 11
 
2.0%
Other values (147) 393
69.7%

최종수정일자
Date

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
Minimum2006-02-03 14:56:24
Maximum2024-04-09 14:03:46
2024-04-30T04:28:05.980858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:28:06.087992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
I
77 
U
19 

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 77
80.2%
U 19
 
19.8%

Length

2024-04-30T04:28:06.221862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:06.307957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 77
80.2%
u 19
 
19.8%

데이터갱신일자
Categorical

Distinct33
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Memory size900.0 B
2018-08-31 23:59:59.0
64 
2022-11-01 22:09:00.0
 
1
2021-12-04 23:02:00.0
 
1
2019-05-12 02:40:00.0
 
1
2019-01-20 02:40:00.0
 
1
Other values (28)
28 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique32 ?
Unique (%)33.3%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
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 64
66.7%
2022-11-01 22:09:00.0 1
 
1.0%
2021-12-04 23:02:00.0 1
 
1.0%
2019-05-12 02:40:00.0 1
 
1.0%
2019-01-20 02:40:00.0 1
 
1.0%
2019-11-12 02:40:00.0 1
 
1.0%
2020-04-24 02:40:00.0 1
 
1.0%
2020-06-11 02:40:00.0 1
 
1.0%
2021-05-12 02:40:00.0 1
 
1.0%
2020-06-04 00:23:18.0 1
 
1.0%
Other values (23) 23
 
24.0%

Length

2024-04-30T04:28:06.404899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 64
33.3%
23:59:59.0 64
33.3%
02:40:00.0 8
 
4.2%
00:08:00.0 2
 
1.0%
2021-12-05 2
 
1.0%
2022-12-03 2
 
1.0%
2021-10-30 2
 
1.0%
00:09:00.0 2
 
1.0%
2023-12-03 2
 
1.0%
2021-08-25 1
 
0.5%
Other values (43) 43
22.4%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

좌표정보(X)
Real number (ℝ)

Distinct83
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194660.83
Minimum191076.43
Maximum198341.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-30T04:28:06.518733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191076.43
5-th percentile192743.4
Q1193990.28
median194306.68
Q3195361.34
95-th percentile197039.3
Maximum198341.7
Range7265.2715
Interquartile range (IQR)1371.061

Descriptive statistics

Standard deviation1379.493
Coefficient of variation (CV)0.0070866492
Kurtosis0.48592552
Mean194660.83
Median Absolute Deviation (MAD)739.42963
Skewness0.60869873
Sum18687440
Variance1903000.9
MonotonicityNot monotonic
2024-04-30T04:28:06.640688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193377.923599121 5
 
5.2%
194203.825172 3
 
3.1%
193567.255349472 3
 
3.1%
194352.400251149 2
 
2.1%
194152.312897977 2
 
2.1%
193350.027022729 2
 
2.1%
192343.662800293 2
 
2.1%
194376.774377718 2
 
2.1%
192727.064044075 1
 
1.0%
194205.944741494 1
 
1.0%
Other values (73) 73
76.0%
ValueCountFrequency (%)
191076.428759797 1
 
1.0%
192124.872482217 1
 
1.0%
192343.662800293 2
 
2.1%
192727.064044075 1
 
1.0%
192748.83945816 1
 
1.0%
193113.325321942 1
 
1.0%
193119.864160773 1
 
1.0%
193335.399293698 1
 
1.0%
193350.027022729 2
 
2.1%
193377.923599121 5
5.2%
ValueCountFrequency (%)
198341.700280527 1
1.0%
198268.135159088 1
1.0%
197951.108094311 1
1.0%
197879.546943971 1
1.0%
197085.239372337 1
1.0%
197023.989573161 1
1.0%
196988.238225087 1
1.0%
196987.943559601 1
1.0%
196755.79371742 1
1.0%
196696.581624044 1
1.0%

좌표정보(Y)
Real number (ℝ)

Distinct83
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441651.54
Minimum440291.47
Maximum443291.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-30T04:28:06.953829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum440291.47
5-th percentile440435.27
Q1440884.3
median441588.56
Q3442337.76
95-th percentile443073.66
Maximum443291.23
Range2999.7574
Interquartile range (IQR)1453.466

Descriptive statistics

Standard deviation840.23279
Coefficient of variation (CV)0.001902479
Kurtosis-1.1149127
Mean441651.54
Median Absolute Deviation (MAD)725.59446
Skewness0.26050992
Sum42398548
Variance705991.14
MonotonicityNot monotonic
2024-04-30T04:28:07.052656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442372.743103549 5
 
5.2%
441229.929157 3
 
3.1%
442940.902180929 3
 
3.1%
440597.639214348 2
 
2.1%
440870.699504187 2
 
2.1%
443216.750634836 2
 
2.1%
442510.685948216 2
 
2.1%
440780.604345552 2
 
2.1%
441307.925540273 1
 
1.0%
440442.085357386 1
 
1.0%
Other values (73) 73
76.0%
ValueCountFrequency (%)
440291.473867789 1
1.0%
440387.800709838 1
1.0%
440404.211595974 1
1.0%
440409.280960652 1
1.0%
440414.840922282 1
1.0%
440442.085357386 1
1.0%
440514.391029933 1
1.0%
440597.639214348 2
2.1%
440673.258007574 1
1.0%
440713.632182293 1
1.0%
ValueCountFrequency (%)
443291.231245754 1
 
1.0%
443216.750634836 2
2.1%
443212.617637877 1
 
1.0%
443101.335077624 1
 
1.0%
443064.437566493 1
 
1.0%
443019.30390233 1
 
1.0%
442974.060948413 1
 
1.0%
442940.902180929 3
3.1%
442772.047530947 1
 
1.0%
442712.55086402 1
 
1.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
음반.음악영상물제작업
79 
<NA>
17 

Length

Max length11
Median length11
Mean length9.7604167
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 79
82.3%
<NA> 17
 
17.7%

Length

2024-04-30T04:28:07.174248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:07.253242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음반.음악영상물제작업 79
82.3%
na 17
 
17.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
유통관련업
79 
<NA>
17 

Length

Max length5
Median length5
Mean length4.8229167
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 79
82.3%
<NA> 17
 
17.7%

Length

2024-04-30T04:28:07.332644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:07.409791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 79
82.3%
na 17
 
17.7%

총층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
86 
4
 
4
0
 
3
3
 
2
6
 
1

Length

Max length4
Median length4
Mean length3.6875
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 86
89.6%
4 4
 
4.2%
0 3
 
3.1%
3 2
 
2.1%
6 1
 
1.0%

Length

2024-04-30T04:28:07.494645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:07.588596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 86
89.6%
4 4
 
4.2%
0 3
 
3.1%
3 2
 
2.1%
6 1
 
1.0%

주변환경명
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
93 
주택가주변
 
3

Length

Max length5
Median length4
Mean length4.03125
Min length4

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> 93
96.9%
주택가주변 3
 
3.1%

Length

2024-04-30T04:28:07.686680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:07.768816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
96.9%
주택가주변 3
 
3.1%

제작취급품목내용
Categorical

Distinct24
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
음반
44 
<NA>
26 
음반음악영상물
 
4
음반?음악영상물
 
2
음반기획 및 영상 제작
 
1
Other values (19)
19 

Length

Max length25
Median length23
Mean length4.2708333
Min length2

Unique

Unique20 ?
Unique (%)20.8%

Sample

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

Common Values

ValueCountFrequency (%)
음반 44
45.8%
<NA> 26
27.1%
음반음악영상물 4
 
4.2%
음반?음악영상물 2
 
2.1%
음반기획 및 영상 제작 1
 
1.0%
강의테이프 1
 
1.0%
강의테잎 1
 
1.0%
음반제작 1
 
1.0%
음반,음악영상물 1
 
1.0%
불교음반 1
 
1.0%
Other values (14) 14
 
14.6%

Length

2024-04-30T04:28:07.852119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
음반 46
40.4%
na 26
22.8%
음반음악영상물 4
 
3.5%
뮤직비디오 3
 
2.6%
음원 3
 
2.6%
제작 2
 
1.8%
음악영상물 2
 
1.8%
노래음악영상파일 2
 
1.8%
및 2
 
1.8%
음반?음악영상물 2
 
1.8%
Other values (21) 22
19.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)80.0%
Missing81
Missing (%)84.4%
Infinite0
Infinite (%)0.0%
Mean106.82867
Minimum0
Maximum677.6
Zeros2
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-04-30T04:28:07.942520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126.4
median57
Q3112.625
95-th percentile315.28
Maximum677.6
Range677.6
Interquartile range (IQR)86.225

Descriptive statistics

Standard deviation165.62059
Coefficient of variation (CV)1.5503385
Kurtosis11.80144
Mean106.82867
Median Absolute Deviation (MAD)54.7
Skewness3.2865974
Sum1602.43
Variance27430.18
MonotonicityNot monotonic
2024-04-30T04:28:08.029926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
57.0 2
 
2.1%
111.7 2
 
2.1%
0.0 2
 
2.1%
13.2 1
 
1.0%
9.0 1
 
1.0%
68.34 1
 
1.0%
113.55 1
 
1.0%
54.81 1
 
1.0%
160.0 1
 
1.0%
128.93 1
 
1.0%
Other values (2) 2
 
2.1%
(Missing) 81
84.4%
ValueCountFrequency (%)
0.0 2
2.1%
9.0 1
1.0%
13.2 1
1.0%
39.6 1
1.0%
54.81 1
1.0%
57.0 2
2.1%
68.34 1
1.0%
111.7 2
2.1%
113.55 1
1.0%
128.93 1
1.0%
ValueCountFrequency (%)
677.6 1
1.0%
160.0 1
1.0%
128.93 1
1.0%
113.55 1
1.0%
111.7 2
2.1%
68.34 1
1.0%
57.0 2
2.1%
54.81 1
1.0%
39.6 1
1.0%
13.2 1
1.0%

지상층수
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
85 
3
 
4
0
 
4
1
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.65625
Min length1

Unique

Unique3 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 85
88.5%
3 4
 
4.2%
0 4
 
4.2%
1 1
 
1.0%
5 1
 
1.0%
2 1
 
1.0%

Length

2024-04-30T04:28:08.128503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:08.217670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
88.5%
3 4
 
4.2%
0 4
 
4.2%
1 1
 
1.0%
5 1
 
1.0%
2 1
 
1.0%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
85 
1
 
7
0
 
4

Length

Max length4
Median length4
Mean length3.65625
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> 85
88.5%
1 7
 
7.3%
0 4
 
4.2%

Length

2024-04-30T04:28:08.333471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:08.422234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 85
88.5%
1 7
 
7.3%
0 4
 
4.2%

건물용도명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing91
Missing (%)94.8%
Memory size900.0 B
2024-04-30T04:28:08.520679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length6
Mean length6
Min length3

Characters and Unicode

Total characters30
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row아파트
2nd row사무실
3rd row다중주택(공동주택적용)
4th row근린생활시설
5th row근린생활시설
ValueCountFrequency (%)
근린생활시설 2
40.0%
아파트 1
20.0%
사무실 1
20.0%
다중주택(공동주택적용 1
20.0%
2024-04-30T04:28:08.773006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
 
6.7%
주 2
 
6.7%
생 2
 
6.7%
활 2
 
6.7%
시 2
 
6.7%
설 2
 
6.7%
린 2
 
6.7%
택 2
 
6.7%
용 1
 
3.3%
적 1
 
3.3%
Other values (12) 12
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28
93.3%
Open Punctuation 1
 
3.3%
Close Punctuation 1
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
 
7.1%
주 2
 
7.1%
생 2
 
7.1%
활 2
 
7.1%
시 2
 
7.1%
설 2
 
7.1%
린 2
 
7.1%
택 2
 
7.1%
용 1
 
3.6%
적 1
 
3.6%
Other values (10) 10
35.7%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28
93.3%
Common 2
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
 
7.1%
주 2
 
7.1%
생 2
 
7.1%
활 2
 
7.1%
시 2
 
7.1%
설 2
 
7.1%
린 2
 
7.1%
택 2
 
7.1%
용 1
 
3.6%
적 1
 
3.6%
Other values (10) 10
35.7%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28
93.3%
ASCII 2
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
 
7.1%
주 2
 
7.1%
생 2
 
7.1%
활 2
 
7.1%
시 2
 
7.1%
설 2
 
7.1%
린 2
 
7.1%
택 2
 
7.1%
용 1
 
3.6%
적 1
 
3.6%
Other values (10) 10
35.7%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
92 
0
 
4

Length

Max length4
Median length4
Mean length3.875
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> 92
95.8%
0 4
 
4.2%

Length

2024-04-30T04:28:08.890222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:08.967365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
95.8%
0 4
 
4.2%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
92 
0
 
4

Length

Max length4
Median length4
Mean length3.875
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> 92
95.8%
0 4
 
4.2%

Length

2024-04-30T04:28:09.055236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:09.147973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
95.8%
0 4
 
4.2%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
92 
0
 
4

Length

Max length4
Median length4
Mean length3.875
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> 92
95.8%
0 4
 
4.2%

Length

2024-04-30T04:28:09.228459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:09.307346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
95.8%
0 4
 
4.2%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
92 
0
 
4

Length

Max length4
Median length4
Mean length3.875
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> 92
95.8%
0 4
 
4.2%

Length

2024-04-30T04:28:09.402436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:09.499074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
95.8%
0 4
 
4.2%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
92 
0
 
4

Length

Max length4
Median length4
Mean length3.875
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> 92
95.8%
0 4
 
4.2%

Length

2024-04-30T04:28:09.586972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:09.670492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 92
95.8%
0 4
 
4.2%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)100.0%
Memory size996.0 B

지역구분명
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size900.0 B
<NA>
90 
일반주거지역
 
4
준주거지역
 
2

Length

Max length6
Median length4
Mean length4.1041667
Min length4

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> 90
93.8%
일반주거지역 4
 
4.2%
준주거지역 2
 
2.1%

Length

2024-04-30T04:28:09.778183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:28:09.881747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
93.8%
일반주거지역 4
 
4.2%
준주거지역 2
 
2.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03200000CDFF324106199700000119970903<NA>1영업/정상13영업중<NA><NA><NA><NA>885-0142<NA>151895서울특별시 관악구 신림동 ****-*번지서울특별시 관악구 호암로**가길 * (신림동)<NA>대승미디어2007-03-02 10:39:36I2018-08-31 23:59:59.0<NA>194091.983397440952.212612음반.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>
13200000CDFF324106199700000219971209<NA>1영업/정상13영업중<NA><NA><NA><NA>877-1335-6<NA>151860서울특별시 관악구 신림동 ***-*번지서울특별시 관악구 호암로**길 ** (신림동)<NA>신관악2007-03-02 10:40:41I2018-08-31 23:59:59.0<NA>194250.708598440713.632182음반.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>
23200000CDFF324106199700000319971231<NA>1영업/정상13영업중<NA><NA><NA><NA>875-6028<NA>151895서울특별시 관악구 신림동 ****번지 지층*호서울특별시 관악구 신림로**길 ** (신림동,지층*호)<NA>대명사미디어2007-03-02 10:41:57I2018-08-31 23:59:59.0<NA>194203.825172441229.929157음반.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>
33200000CDFF324106199700000419971231<NA>3폐업3폐업20070810<NA><NA><NA>888-3030<NA>151895서울특별시 관악구 신림동 ****-*번지서울특별시 관악구 호암로**길 ** (신림동)<NA>태학관2007-08-10 13:44:43I2018-08-31 23:59:59.0<NA>194132.649925440815.621381음반.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>
43200000CDFF324106199900000119990526<NA>3폐업3폐업20110224<NA><NA><NA>884-2035<NA>151895서울특별시 관악구 신림동 ****-*번지서울특별시 관악구 대학*길 ** (신림동)<NA>가람미디어2011-02-24 17:23:53I2018-08-31 23:59:59.0<NA>194167.884501440799.583997음반.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>
53200000CDFF324106199900000219990528<NA>1영업/정상13영업중<NA><NA><NA><NA>875-0303<NA>151897서울특별시 관악구 신림동 ****-*번지서울특별시 관악구 신림로**길 ** (신림동)<NA>고시촌고시정보2007-03-02 10:45:08I2018-08-31 23:59:59.0<NA>194287.180788440673.258008음반.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>
63200000CDFF324106199900000319990629<NA>1영업/정상13영업중<NA><NA><NA><NA>872-4090<NA>151895서울특별시 관악구 신림동 ****-*번지서울특별시 관악구 신림로**길 ** (신림동)<NA>우리미디어2007-03-02 10:46:16I2018-08-31 23:59:59.0<NA>194152.312898440870.699504음반.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>
73200000CDFF324106199900000419991015<NA>1영업/정상13영업중<NA><NA><NA><NA>883-8610<NA>151761서울특별시 관악구 신림동 ***-***번지 신림현대맨션 ***동 ***호서울특별시 관악구 신림로**길 ***, ***동 ***호 (신림동,신림현대맨션)<NA>신세기미디어2007-03-02 10:47:21I2018-08-31 23:59:59.0<NA>194115.876164440414.840922음반.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>
83200000CDFF324106200000000120000104<NA>3폐업3폐업20090326<NA><NA><NA>888-2808<NA>151895서울특별시 관악구 신림동 ****-*번지서울특별시 관악구 호암로**길 ** (신림동)<NA>제삼미디어2009-03-27 14:04:38I2018-08-31 23:59:59.0<NA>194244.864847440931.202704음반.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>
93200000CDFF324106200000000220000129<NA>1영업/정상13영업중<NA><NA><NA><NA>887-3030<NA>151895서울특별시 관악구 신림동 ****번지서울특별시 관악구 신림로**길 ** (신림동)<NA>CH기획2007-03-02 10:49:30I2018-08-31 23:59:59.0<NA>194203.825172441229.929157음반.음악영상물제작업유통관련업<NA><NA>음반<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
863200000CDFF324106202200000320220613<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-**서울특별시 관악구 양녕로 **, *층 (봉천동)8747비지엠 히어로 (BGM HERO)2022-06-13 18:17:18I2021-12-05 23:06:00.0<NA>195244.42037442569.831581<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873200000CDFF32410620220000042022-07-22<NA>3폐업3폐업2023-06-05<NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ****-*서울특별시 관악구 남부순환로 ****, 지하*층 (신림동)8774테마노래뮤비방2023-06-05 09:35:44U2022-12-06 00:08:00.0<NA>193377.923599442372.743104<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
883200000CDFF32410620220000052022-08-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ****-*서울특별시 관악구 호암로**길 **, ***호 (신림동)8812(주)레드슬리퍼스2024-03-07 09:50:00U2023-12-03 00:09:00.0<NA>194133.306935440732.569663<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
893200000CDFF324106202200000620221011<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-** ***호서울특별시 관악구 중앙*가길 **, ***호 (봉천동, 도원아트빌)8745에스제이엔터테인먼트2022-10-11 13:36:21I2021-10-30 23:03:00.0<NA>195778.408205442316.739767<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
903200000CDFF324106202200000720221028<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ****-*서울특별시 관악구 행운*길 **, 칠성빌딩 *층 (봉천동)8742주식회사 도너츠뮤직2022-10-28 14:44:21I2021-10-30 21:00:00.0<NA>196534.879486441817.473615<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
913200000CDFF32410620230000012023-03-06<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-* 금성빌딩서울특별시 관악구 봉천로 ***-*, 금성빌딩 ***호 (봉천동)8720루루프로덕션2023-03-06 14:26:40I2022-12-03 00:08:00.0<NA>194088.959403442772.047531<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
923200000CDFF32410620230000022023-03-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 **-***서울특별시 관악구 쑥고개로 **, *층 (신림동)8783사단법인 지속가능월드네트워크2023-03-07 16:32:31I2022-12-03 00:09:00.0<NA>194560.378816441779.950675<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
933200000CDFF32410620230000032023-04-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 *-**서울특별시 관악구 청림*다길 *, ***호 (봉천동)8732해시브라운 스튜디오(HASHBROWN STUDIO)2024-04-09 14:03:46U2023-12-03 23:01:00.0<NA>196236.37661443101.335078<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
943200000CDFF32410620230000042023-06-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 관악구 신림동 ****-*서울특별시 관악구 남부순환로 ****, 지층 (신림동)8774위드유 노래뮤비방2023-06-08 09:25:06I2022-12-05 23:00:00.0<NA>193377.923599442372.743104<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
953200000CDFF32410620230000052023-09-15<NA>5제외/삭제/전출15전출2024-01-29<NA><NA><NA><NA><NA><NA>서울특별시 관악구 봉천동 ***-*** 반도라빌서울특별시 관악구 국회단지**길 *, B**호 (봉천동, 반도라빌)8714더뷰파인더즈2024-01-29 17:27:13U2023-11-30 21:01:00.0<NA>194826.769219443019.303902<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>