Overview

Dataset statistics

Number of variables56
Number of observations94
Missing cells2847
Missing cells (%)54.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.7 KiB
Average record size in memory487.4 B

Variable types

Categorical14
Text10
DateTime4
Unsupported22
Numeric6

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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-17374/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
주변환경명 has constant value ""Constant
소재지우편번호 is highly imbalanced (91.5%)Imbalance
지하층수 is highly imbalanced (60.0%)Imbalance
통로너비 is highly imbalanced (65.8%)Imbalance
조명시설조도 is highly imbalanced (65.8%)Imbalance
노래방실수 is highly imbalanced (65.8%)Imbalance
청소년실수 is highly imbalanced (65.8%)Imbalance
총게임기수 is highly imbalanced (65.8%)Imbalance
인허가취소일자 has 94 (100.0%) missing valuesMissing
폐업일자 has 73 (77.7%) missing valuesMissing
휴업시작일자 has 94 (100.0%) missing valuesMissing
휴업종료일자 has 94 (100.0%) missing valuesMissing
재개업일자 has 94 (100.0%) missing valuesMissing
전화번호 has 78 (83.0%) missing valuesMissing
소재지면적 has 94 (100.0%) missing valuesMissing
도로명주소 has 2 (2.1%) missing valuesMissing
도로명우편번호 has 7 (7.4%) missing valuesMissing
업태구분명 has 94 (100.0%) missing valuesMissing
좌표정보(X) has 1 (1.1%) missing valuesMissing
좌표정보(Y) has 1 (1.1%) missing valuesMissing
문화사업자구분명 has 93 (98.9%) missing valuesMissing
총층수 has 77 (81.9%) missing valuesMissing
주변환경명 has 92 (97.9%) missing valuesMissing
제작취급품목내용 has 45 (47.9%) missing valuesMissing
시설면적 has 52 (55.3%) missing valuesMissing
지상층수 has 77 (81.9%) missing valuesMissing
건물용도명 has 91 (96.8%) missing valuesMissing
비상계단여부 has 94 (100.0%) missing valuesMissing
비상구여부 has 94 (100.0%) missing valuesMissing
자동환기여부 has 94 (100.0%) missing valuesMissing
청소년실여부 has 94 (100.0%) missing valuesMissing
특수조명여부 has 94 (100.0%) missing valuesMissing
방음시설여부 has 94 (100.0%) missing valuesMissing
비디오재생기명 has 94 (100.0%) missing valuesMissing
조명시설유무 has 94 (100.0%) missing valuesMissing
음향시설여부 has 94 (100.0%) missing valuesMissing
편의시설여부 has 94 (100.0%) missing valuesMissing
소방시설여부 has 94 (100.0%) missing valuesMissing
기존게임업외업종명 has 94 (100.0%) missing valuesMissing
제공게임물명 has 94 (100.0%) missing valuesMissing
공연장형태구분명 has 94 (100.0%) missing valuesMissing
품목명 has 94 (100.0%) missing valuesMissing
최초등록시점 has 94 (100.0%) missing valuesMissing
지역구분명 has 90 (95.7%) 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
총층수 has 6 (6.4%) zerosZeros
지상층수 has 6 (6.4%) zerosZeros

Reproduction

Analysis started2024-05-11 05:22:06.200506
Analysis finished2024-05-11 05:22:07.618636
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
3070000
94 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3070000
2nd row3070000
3rd row3070000
4th row3070000
5th row3070000

Common Values

ValueCountFrequency (%)
3070000 94
100.0%

Length

2024-05-11T14:22:07.711229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:07.825925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 94
100.0%

관리번호
Text

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T14:22:08.051074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1880
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

Unique94 ?
Unique (%)100.0%

Sample

1st rowCDFF1241072001000002
2nd rowCDFF1241072005000001
3rd rowCDFF1241072006000001
4th rowCDFF1241072006000002
5th rowCDFF1241072007000001
ValueCountFrequency (%)
cdff1241072001000002 1
 
1.1%
cdff1241072022000005 1
 
1.1%
cdff1241072022000014 1
 
1.1%
cdff1241072022000013 1
 
1.1%
cdff1241072022000012 1
 
1.1%
cdff1241072022000011 1
 
1.1%
cdff1241072022000010 1
 
1.1%
cdff1241072022000009 1
 
1.1%
cdff1241072022000008 1
 
1.1%
cdff1241072022000007 1
 
1.1%
Other values (84) 84
89.4%
2024-05-11T14:22:08.524658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 663
35.3%
2 280
14.9%
1 262
 
13.9%
F 188
 
10.0%
4 117
 
6.2%
7 106
 
5.6%
C 94
 
5.0%
D 94
 
5.0%
3 30
 
1.6%
9 14
 
0.7%
Other values (3) 32
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1504
80.0%
Uppercase Letter 376
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 663
44.1%
2 280
18.6%
1 262
 
17.4%
4 117
 
7.8%
7 106
 
7.0%
3 30
 
2.0%
9 14
 
0.9%
5 12
 
0.8%
6 11
 
0.7%
8 9
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 188
50.0%
C 94
25.0%
D 94
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1504
80.0%
Latin 376
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 663
44.1%
2 280
18.6%
1 262
 
17.4%
4 117
 
7.8%
7 106
 
7.0%
3 30
 
2.0%
9 14
 
0.9%
5 12
 
0.8%
6 11
 
0.7%
8 9
 
0.6%
Latin
ValueCountFrequency (%)
F 188
50.0%
C 94
25.0%
D 94
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1880
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 663
35.3%
2 280
14.9%
1 262
 
13.9%
F 188
 
10.0%
4 117
 
6.2%
7 106
 
5.6%
C 94
 
5.0%
D 94
 
5.0%
3 30
 
1.6%
9 14
 
0.7%
Other values (3) 32
 
1.7%

인허가일자
Date

Distinct89
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2001-04-27 00:00:00
Maximum2024-04-15 00:00:00
2024-05-11T14:22:08.747307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:08.941376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
1
73 
3
12 
5
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 73
77.7%
3 12
 
12.8%
5 9
 
9.6%

Length

2024-05-11T14:22:09.119122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:09.260706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 73
77.7%
3 12
 
12.8%
5 9
 
9.6%

영업상태명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
영업/정상
73 
폐업
12 
제외/삭제/전출
9 

Length

Max length8
Median length5
Mean length4.9042553
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 73
77.7%
폐업 12
 
12.8%
제외/삭제/전출 9
 
9.6%

Length

2024-05-11T14:22:09.433939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:09.565416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 73
77.7%
폐업 12
 
12.8%
제외/삭제/전출 9
 
9.6%

상세영업상태코드
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
13
73 
3
12 
15
9 

Length

Max length2
Median length2
Mean length1.8723404
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 73
77.7%
3 12
 
12.8%
15 9
 
9.6%

Length

2024-05-11T14:22:09.727415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:09.867274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 73
77.7%
3 12
 
12.8%
15 9
 
9.6%

상세영업상태명
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
영업중
73 
폐업
12 
전출
9 

Length

Max length3
Median length3
Mean length2.7765957
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 73
77.7%
폐업 12
 
12.8%
전출 9
 
9.6%

Length

2024-05-11T14:22:10.041039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:10.188024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 73
77.7%
폐업 12
 
12.8%
전출 9
 
9.6%

폐업일자
Date

MISSING 

Distinct20
Distinct (%)95.2%
Missing73
Missing (%)77.7%
Memory size884.0 B
Minimum2009-10-29 00:00:00
Maximum2024-05-08 00:00:00
2024-05-11T14:22:10.335579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:10.578913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

전화번호
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing78
Missing (%)83.0%
Memory size884.0 B
2024-05-11T14:22:11.106595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12.5
Mean length11
Min length8

Characters and Unicode

Total characters176
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

Unique16 ?
Unique (%)100.0%

Sample

1st row926-5515
2nd row762-5244
3rd row070-7501-3889
4th row562-9122
5th row02-953-2233
ValueCountFrequency (%)
02 2
 
9.1%
02-553-0701 1
 
4.5%
572 1
 
4.5%
02-949-1218 1
 
4.5%
070-5165-7900 1
 
4.5%
02-762-1998 1
 
4.5%
02-338-0551 1
 
4.5%
5772 1
 
4.5%
7718 1
 
4.5%
070 1
 
4.5%
Other values (11) 11
50.0%
2024-05-11T14:22:12.122386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
15.9%
2 27
15.3%
- 23
13.1%
5 17
9.7%
7 14
8.0%
1 14
8.0%
9 13
7.4%
3 10
 
5.7%
6 10
 
5.7%
8 10
 
5.7%
Other values (2) 10
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 147
83.5%
Dash Punctuation 23
 
13.1%
Space Separator 6
 
3.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
19.0%
2 27
18.4%
5 17
11.6%
7 14
9.5%
1 14
9.5%
9 13
8.8%
3 10
 
6.8%
6 10
 
6.8%
8 10
 
6.8%
4 4
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 176
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
15.9%
2 27
15.3%
- 23
13.1%
5 17
9.7%
7 14
8.0%
1 14
8.0%
9 13
7.4%
3 10
 
5.7%
6 10
 
5.7%
8 10
 
5.7%
Other values (2) 10
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 176
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
15.9%
2 27
15.3%
- 23
13.1%
5 17
9.7%
7 14
8.0%
1 14
8.0%
9 13
7.4%
3 10
 
5.7%
6 10
 
5.7%
8 10
 
5.7%
Other values (2) 10
 
5.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
93 
136824
 
1

Length

Max length6
Median length4
Mean length4.0212766
Min length4

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row<NA>
3rd row136824
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 93
98.9%
136824 1
 
1.1%

Length

2024-05-11T14:22:12.793286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:13.082997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 93
98.9%
136824 1
 
1.1%

지번주소
Text

Distinct82
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T14:22:13.484534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length31
Mean length25.276596
Min length17

Characters and Unicode

Total characters2376
Distinct characters141
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

Unique71 ?
Unique (%)75.5%

Sample

1st row서울특별시 성북구 보문동*가 ***-*번지 KT*층
2nd row서울특별시 성북구 동소문동*가 **번지 삼우빌딩 ***호
3rd row서울특별시 성북구 성북동 ***-*번지
4th row서울특별시 성북구 동선동*가 ***-*번지
5th row서울특별시 성북구 정릉동 ***-**번지
ValueCountFrequency (%)
서울특별시 94
21.2%
성북구 94
21.2%
61
13.7%
번지 31
 
7.0%
정릉동 12
 
2.7%
안암동*가 11
 
2.5%
동선동*가 11
 
2.5%
삼선동*가 11
 
2.5%
호 9
 
2.0%
석관동 7
 
1.6%
Other values (58) 103
23.2%
2024-05-11T14:22:14.070930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 430
18.1%
397
16.7%
동 117
 
4.9%
성 106
 
4.5%
북 103
 
4.3%
구 96
 
4.0%
서 94
 
4.0%
울 94
 
4.0%
시 94
 
4.0%
별 94
 
4.0%
Other values (131) 751
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1460
61.4%
Other Punctuation 433
 
18.2%
Space Separator 397
 
16.7%
Dash Punctuation 70
 
2.9%
Uppercase Letter 10
 
0.4%
Decimal Number 4
 
0.2%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 117
 
8.0%
성 106
 
7.3%
북 103
 
7.1%
구 96
 
6.6%
서 94
 
6.4%
울 94
 
6.4%
시 94
 
6.4%
별 94
 
6.4%
특 94
 
6.4%
가 46
 
3.2%
Other values (111) 522
35.8%
Uppercase Letter
ValueCountFrequency (%)
A 2
20.0%
H 2
20.0%
K 1
10.0%
T 1
10.0%
E 1
10.0%
C 1
10.0%
D 1
10.0%
S 1
10.0%
Other Punctuation
ValueCountFrequency (%)
* 430
99.3%
/ 1
 
0.2%
, 1
 
0.2%
. 1
 
0.2%
Decimal Number
ValueCountFrequency (%)
7 1
25.0%
9 1
25.0%
2 1
25.0%
4 1
25.0%
Space Separator
ValueCountFrequency (%)
397
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1460
61.4%
Common 906
38.1%
Latin 10
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 117
 
8.0%
성 106
 
7.3%
북 103
 
7.1%
구 96
 
6.6%
서 94
 
6.4%
울 94
 
6.4%
시 94
 
6.4%
별 94
 
6.4%
특 94
 
6.4%
가 46
 
3.2%
Other values (111) 522
35.8%
Common
ValueCountFrequency (%)
* 430
47.5%
397
43.8%
- 70
 
7.7%
7 1
 
0.1%
9 1
 
0.1%
) 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
( 1
 
0.1%
/ 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
A 2
20.0%
H 2
20.0%
K 1
10.0%
T 1
10.0%
E 1
10.0%
C 1
10.0%
D 1
10.0%
S 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1460
61.4%
ASCII 916
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 430
46.9%
397
43.3%
- 70
 
7.6%
A 2
 
0.2%
H 2
 
0.2%
7 1
 
0.1%
9 1
 
0.1%
) 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
Other values (10) 10
 
1.1%
Hangul
ValueCountFrequency (%)
동 117
 
8.0%
성 106
 
7.3%
북 103
 
7.1%
구 96
 
6.6%
서 94
 
6.4%
울 94
 
6.4%
시 94
 
6.4%
별 94
 
6.4%
특 94
 
6.4%
가 46
 
3.2%
Other values (111) 522
35.8%

도로명주소
Text

MISSING 

Distinct86
Distinct (%)93.5%
Missing2
Missing (%)2.1%
Memory size884.0 B
2024-05-11T14:22:14.462725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43.5
Mean length36.271739
Min length24

Characters and Unicode

Total characters3337
Distinct characters164
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

Unique80 ?
Unique (%)87.0%

Sample

1st row서울특별시 성북구 보문로**다길 ** (보문동*가)
2nd row서울특별시 성북구 성북로*길 ** (동소문동*가,삼우빌딩 ***호)
3rd row서울특별시 성북구 성북로**가길 ** (성북동)
4th row서울특별시 성북구 아리랑로 ** (동선동*가)
5th row서울특별시 성북구 보국문로 *** (정릉동)
ValueCountFrequency (%)
서울특별시 92
15.0%
성북구 92
15.0%
91
14.8%
호 49
 
8.0%
층 28
 
4.6%
동 13
 
2.1%
삼선동*가 11
 
1.8%
정릉동 11
 
1.8%
안암동*가 11
 
1.8%
동선동*가 10
 
1.6%
Other values (112) 206
33.6%
2024-05-11T14:22:15.080655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 599
18.0%
528
 
15.8%
동 139
 
4.2%
성 113
 
3.4%
북 109
 
3.3%
, 100
 
3.0%
) 93
 
2.8%
구 93
 
2.8%
( 93
 
2.8%
울 92
 
2.8%
Other values (154) 1378
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1883
56.4%
Other Punctuation 700
 
21.0%
Space Separator 528
 
15.8%
Close Punctuation 93
 
2.8%
Open Punctuation 93
 
2.8%
Dash Punctuation 23
 
0.7%
Decimal Number 13
 
0.4%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 139
 
7.4%
성 113
 
6.0%
북 109
 
5.8%
구 93
 
4.9%
울 92
 
4.9%
서 92
 
4.9%
시 92
 
4.9%
별 92
 
4.9%
특 92
 
4.9%
로 87
 
4.6%
Other values (135) 882
46.8%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
3 3
23.1%
2 1
 
7.7%
9 1
 
7.7%
6 1
 
7.7%
0 1
 
7.7%
5 1
 
7.7%
4 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
H 1
25.0%
D 1
25.0%
S 1
25.0%
B 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 599
85.6%
, 100
 
14.3%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
528
100.0%
Close Punctuation
ValueCountFrequency (%)
) 93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1883
56.4%
Common 1450
43.5%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 139
 
7.4%
성 113
 
6.0%
북 109
 
5.8%
구 93
 
4.9%
울 92
 
4.9%
서 92
 
4.9%
시 92
 
4.9%
별 92
 
4.9%
특 92
 
4.9%
로 87
 
4.6%
Other values (135) 882
46.8%
Common
ValueCountFrequency (%)
* 599
41.3%
528
36.4%
, 100
 
6.9%
) 93
 
6.4%
( 93
 
6.4%
- 23
 
1.6%
1 4
 
0.3%
3 3
 
0.2%
2 1
 
0.1%
. 1
 
0.1%
Other values (5) 5
 
0.3%
Latin
ValueCountFrequency (%)
H 1
25.0%
D 1
25.0%
S 1
25.0%
B 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1883
56.4%
ASCII 1454
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 599
41.2%
528
36.3%
, 100
 
6.9%
) 93
 
6.4%
( 93
 
6.4%
- 23
 
1.6%
1 4
 
0.3%
3 3
 
0.2%
H 1
 
0.1%
2 1
 
0.1%
Other values (9) 9
 
0.6%
Hangul
ValueCountFrequency (%)
동 139
 
7.4%
성 113
 
6.0%
북 109
 
5.8%
구 93
 
4.9%
울 92
 
4.9%
서 92
 
4.9%
시 92
 
4.9%
별 92
 
4.9%
특 92
 
4.9%
로 87
 
4.6%
Other values (135) 882
46.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)69.0%
Missing7
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean4343.5057
Minimum2704
Maximum136037
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T14:22:15.310985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2704
5-th percentile2712
Q12783.5
median2830
Q32844
95-th percentile2873
Maximum136037
Range133333
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation14283.279
Coefficient of variation (CV)3.2884218
Kurtosis86.997993
Mean4343.5057
Median Absolute Deviation (MAD)31
Skewness9.3272195
Sum377885
Variance2.0401206 × 108
MonotonicityNot monotonic
2024-05-11T14:22:15.548293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2832 5
 
5.3%
2841 5
 
5.3%
2844 4
 
4.3%
2842 3
 
3.2%
2861 3
 
3.2%
2810 3
 
3.2%
2781 2
 
2.1%
2789 2
 
2.1%
2712 2
 
2.1%
2863 2
 
2.1%
Other values (50) 56
59.6%
(Missing) 7
 
7.4%
ValueCountFrequency (%)
2704 1
1.1%
2707 1
1.1%
2711 2
2.1%
2712 2
2.1%
2717 1
1.1%
2720 1
1.1%
2737 1
1.1%
2742 1
1.1%
2748 1
1.1%
2751 1
1.1%
ValueCountFrequency (%)
136037 1
 
1.1%
2879 1
 
1.1%
2874 2
2.1%
2873 2
2.1%
2872 1
 
1.1%
2870 1
 
1.1%
2867 1
 
1.1%
2865 2
2.1%
2863 2
2.1%
2861 3
3.2%

사업장명
Text

Distinct90
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size884.0 B
2024-05-11T14:22:15.914201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length15
Mean length8.287234
Min length2

Characters and Unicode

Total characters779
Distinct characters224
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)91.5%

Sample

1st row(주)인서울
2nd row(주)라바메이저
3rd row북스티비
4th row네트워크 리더쉽 코리아
5th row에스브이맥스코리아(주)
ValueCountFrequency (%)
주식회사 20
 
13.5%
스튜디오 5
 
3.4%
콘텐츠민주주의 2
 
1.4%
슬러그 2
 
1.4%
서울 2
 
1.4%
십사 2
 
1.4%
산학협력단 2
 
1.4%
프로미넌트 2
 
1.4%
프로덕션 2
 
1.4%
티랩스 1
 
0.7%
Other values (108) 108
73.0%
2024-05-11T14:22:16.514682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
6.9%
주 42
 
5.4%
스 26
 
3.3%
) 24
 
3.1%
( 24
 
3.1%
사 24
 
3.1%
디 20
 
2.6%
이 20
 
2.6%
식 20
 
2.6%
회 20
 
2.6%
Other values (214) 505
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 610
78.3%
Space Separator 54
 
6.9%
Uppercase Letter 38
 
4.9%
Close Punctuation 24
 
3.1%
Open Punctuation 24
 
3.1%
Lowercase Letter 23
 
3.0%
Other Punctuation 4
 
0.5%
Other Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 42
 
6.9%
스 26
 
4.3%
사 24
 
3.9%
디 20
 
3.3%
이 20
 
3.3%
식 20
 
3.3%
회 20
 
3.3%
리 12
 
2.0%
오 11
 
1.8%
에 10
 
1.6%
Other values (176) 405
66.4%
Uppercase Letter
ValueCountFrequency (%)
I 6
15.8%
G 4
10.5%
P 3
 
7.9%
O 3
 
7.9%
R 3
 
7.9%
S 3
 
7.9%
E 2
 
5.3%
D 2
 
5.3%
B 2
 
5.3%
C 2
 
5.3%
Other values (6) 8
21.1%
Lowercase Letter
ValueCountFrequency (%)
o 4
17.4%
n 3
13.0%
s 2
 
8.7%
i 2
 
8.7%
c 2
 
8.7%
k 1
 
4.3%
r 1
 
4.3%
w 1
 
4.3%
l 1
 
4.3%
t 1
 
4.3%
Other values (5) 5
21.7%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 611
78.4%
Common 107
 
13.7%
Latin 61
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 42
 
6.9%
스 26
 
4.3%
사 24
 
3.9%
디 20
 
3.3%
이 20
 
3.3%
식 20
 
3.3%
회 20
 
3.3%
리 12
 
2.0%
오 11
 
1.8%
에 10
 
1.6%
Other values (177) 406
66.4%
Latin
ValueCountFrequency (%)
I 6
 
9.8%
G 4
 
6.6%
o 4
 
6.6%
n 3
 
4.9%
P 3
 
4.9%
O 3
 
4.9%
R 3
 
4.9%
S 3
 
4.9%
E 2
 
3.3%
D 2
 
3.3%
Other values (21) 28
45.9%
Common
ValueCountFrequency (%)
54
50.5%
) 24
22.4%
( 24
22.4%
. 3
 
2.8%
, 1
 
0.9%
- 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 610
78.3%
ASCII 168
 
21.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
32.1%
) 24
14.3%
( 24
14.3%
I 6
 
3.6%
G 4
 
2.4%
o 4
 
2.4%
n 3
 
1.8%
P 3
 
1.8%
O 3
 
1.8%
R 3
 
1.8%
Other values (27) 40
23.8%
Hangul
ValueCountFrequency (%)
주 42
 
6.9%
스 26
 
4.3%
사 24
 
3.9%
디 20
 
3.3%
이 20
 
3.3%
식 20
 
3.3%
회 20
 
3.3%
리 12
 
2.0%
오 11
 
1.8%
에 10
 
1.6%
Other values (176) 405
66.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2009-10-29 19:22:04
Maximum2024-05-08 10:13:34
2024-05-11T14:22:16.742075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:17.223885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size884.0 B
I
65 
U
26 
D
 
3

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 65
69.1%
U 26
 
27.7%
D 3
 
3.2%

Length

2024-05-11T14:22:17.401863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:17.551037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 65
69.1%
u 26
 
27.7%
d 3
 
3.2%

데이터갱신일자
Date

Distinct67
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 23:00:00
2024-05-11T14:22:17.715630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:22:17.959455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)86.0%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean202016.82
Minimum198935.25
Maximum205818.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T14:22:18.184592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198935.25
5-th percentile199778.24
Q1200874.07
median201695.36
Q3202954.47
95-th percentile205150.75
Maximum205818.85
Range6883.6024
Interquartile range (IQR)2080.4043

Descriptive statistics

Standard deviation1611.2898
Coefficient of variation (CV)0.0079760178
Kurtosis-0.36663987
Mean202016.82
Median Absolute Deviation (MAD)1048.5994
Skewness0.5484097
Sum18787565
Variance2596254.7
MonotonicityNot monotonic
2024-05-11T14:22:18.398355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202789.692329185 5
 
5.3%
202954.473822845 3
 
3.2%
201717.340929396 2
 
2.1%
201562.571790335 2
 
2.1%
202469.382794361 2
 
2.1%
205818.852385165 2
 
2.1%
200754.371445868 2
 
2.1%
204863.310848262 2
 
2.1%
200874.069509812 2
 
2.1%
201050.141987701 1
 
1.1%
Other values (70) 70
74.5%
ValueCountFrequency (%)
198935.249944798 1
1.1%
199214.022977035 1
1.1%
199628.172805473 1
1.1%
199665.525800799 1
1.1%
199737.239192679 1
1.1%
199805.575165875 1
1.1%
199835.743035586 1
1.1%
199910.319734384 1
1.1%
199988.09981146 1
1.1%
200123.53243931 1
1.1%
ValueCountFrequency (%)
205818.852385165 2
2.1%
205313.481691417 1
1.1%
205311.336734166 1
1.1%
205249.646149734 1
1.1%
205084.821647145 1
1.1%
204863.310848262 2
2.1%
204629.736121071 1
1.1%
204242.71640664 1
1.1%
204225.832819654 1
1.1%
204081.321762834 1
1.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)86.0%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean454988.1
Minimum453092.43
Maximum457579.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T14:22:18.611737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum453092.43
5-th percentile453405.8
Q1454209.4
median454786.37
Q3455945.71
95-th percentile456959.59
Maximum457579.22
Range4486.7817
Interquartile range (IQR)1736.3087

Descriptive statistics

Standard deviation1120.0297
Coefficient of variation (CV)0.0024616681
Kurtosis-0.69015197
Mean454988.1
Median Absolute Deviation (MAD)736.81602
Skewness0.47583235
Sum42313893
Variance1254466.5
MonotonicityNot monotonic
2024-05-11T14:22:18.828775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454049.551940162 5
 
5.3%
454945.633209397 3
 
3.2%
454466.29883965 2
 
2.1%
453092.434673285 2
 
2.1%
454218.041465212 2
 
2.1%
456530.895690582 2
 
2.1%
457195.351141049 2
 
2.1%
455720.784852403 2
 
2.1%
454285.976097418 2
 
2.1%
453927.147896001 1
 
1.1%
Other values (70) 70
74.5%
ValueCountFrequency (%)
453092.434673285 2
2.1%
453162.376311852 1
1.1%
453169.16269153 1
1.1%
453313.889647226 1
1.1%
453467.081743458 1
1.1%
453583.850284165 1
1.1%
453727.440424761 1
1.1%
453767.462690523 1
1.1%
453772.781996422 1
1.1%
453792.019675222 1
1.1%
ValueCountFrequency (%)
457579.21641655 1
1.1%
457424.675484944 1
1.1%
457282.76237327 1
1.1%
457195.351141049 2
2.1%
456802.410481844 1
1.1%
456673.35375589 1
1.1%
456622.144612158 1
1.1%
456591.078718559 1
1.1%
456534.7766001 1
1.1%
456530.895690582 2
2.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
비디오물제작업
50 
<NA>
44 

Length

Max length7
Median length7
Mean length5.5957447
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 50
53.2%
<NA> 44
46.8%

Length

2024-05-11T14:22:19.021318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:19.177907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 50
53.2%
na 44
46.8%

문화사업자구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing93
Missing (%)98.9%
Memory size884.0 B
2024-05-11T14:22:19.334707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

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

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row유통관련업
ValueCountFrequency (%)
유통관련업 1
100.0%
2024-05-11T14:22:19.695142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 1
20.0%
통 1
20.0%
관 1
20.0%
련 1
20.0%
업 1
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 1
20.0%
통 1
20.0%
관 1
20.0%
련 1
20.0%
업 1
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 1
20.0%
통 1
20.0%
관 1
20.0%
련 1
20.0%
업 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 1
20.0%
통 1
20.0%
관 1
20.0%
련 1
20.0%
업 1
20.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)41.2%
Missing77
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean3.3529412
Minimum0
Maximum15
Zeros6
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T14:22:19.885834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile8.6
Maximum15
Range15
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.9041833
Coefficient of variation (CV)1.1644055
Kurtosis4.0046422
Mean3.3529412
Median Absolute Deviation (MAD)2
Skewness1.7342586
Sum57
Variance15.242647
MonotonicityNot monotonic
2024-05-11T14:22:20.057222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 6
 
6.4%
5 3
 
3.2%
2 3
 
3.2%
7 2
 
2.1%
3 1
 
1.1%
4 1
 
1.1%
15 1
 
1.1%
(Missing) 77
81.9%
ValueCountFrequency (%)
0 6
6.4%
2 3
3.2%
3 1
 
1.1%
4 1
 
1.1%
5 3
3.2%
7 2
 
2.1%
15 1
 
1.1%
ValueCountFrequency (%)
15 1
 
1.1%
7 2
 
2.1%
5 3
3.2%
4 1
 
1.1%
3 1
 
1.1%
2 3
3.2%
0 6
6.4%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing92
Missing (%)97.9%
Memory size884.0 B
2024-05-11T14:22:20.181914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-05-11T14:22:20.445981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Text

MISSING 

Distinct33
Distinct (%)67.3%
Missing45
Missing (%)47.9%
Memory size884.0 B
2024-05-11T14:22:20.738801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length31
Mean length11.530612
Min length2

Characters and Unicode

Total characters565
Distinct characters94
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

Unique27 ?
Unique (%)55.1%

Sample

1st row비디오물
2nd row비디오물, DVD
3rd row비디오물
4th row비디오물
5th row비디오물
ValueCountFrequency (%)
비디오물 16
 
12.1%
및 11
 
8.3%
제작 10
 
7.6%
영상 7
 
5.3%
홍보영상 6
 
4.5%
비디오 6
 
4.5%
영화 5
 
3.8%
홍보 4
 
3.0%
등 3
 
2.3%
동영상 3
 
2.3%
Other values (52) 61
46.2%
2024-05-11T14:22:21.275490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
14.7%
영 43
 
7.6%
상 35
 
6.2%
, 33
 
5.8%
디 30
 
5.3%
오 29
 
5.1%
물 29
 
5.1%
비 28
 
5.0%
제 21
 
3.7%
작 21
 
3.7%
Other values (84) 213
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 432
76.5%
Space Separator 83
 
14.7%
Other Punctuation 34
 
6.0%
Uppercase Letter 13
 
2.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 43
 
10.0%
상 35
 
8.1%
디 30
 
6.9%
오 29
 
6.7%
물 29
 
6.7%
비 28
 
6.5%
제 21
 
4.9%
작 21
 
4.9%
보 18
 
4.2%
홍 15
 
3.5%
Other values (72) 163
37.7%
Uppercase Letter
ValueCountFrequency (%)
V 4
30.8%
F 2
15.4%
C 2
15.4%
T 2
15.4%
D 2
15.4%
R 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 33
97.1%
/ 1
 
2.9%
Space Separator
ValueCountFrequency (%)
83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
76.5%
Common 120
 
21.2%
Latin 13
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 43
 
10.0%
상 35
 
8.1%
디 30
 
6.9%
오 29
 
6.7%
물 29
 
6.7%
비 28
 
6.5%
제 21
 
4.9%
작 21
 
4.9%
보 18
 
4.2%
홍 15
 
3.5%
Other values (72) 163
37.7%
Common
ValueCountFrequency (%)
83
69.2%
, 33
 
27.5%
( 1
 
0.8%
) 1
 
0.8%
/ 1
 
0.8%
- 1
 
0.8%
Latin
ValueCountFrequency (%)
V 4
30.8%
F 2
15.4%
C 2
15.4%
T 2
15.4%
D 2
15.4%
R 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 432
76.5%
ASCII 133
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
62.4%
, 33
 
24.8%
V 4
 
3.0%
F 2
 
1.5%
C 2
 
1.5%
T 2
 
1.5%
D 2
 
1.5%
( 1
 
0.8%
) 1
 
0.8%
/ 1
 
0.8%
Other values (2) 2
 
1.5%
Hangul
ValueCountFrequency (%)
영 43
 
10.0%
상 35
 
8.1%
디 30
 
6.9%
오 29
 
6.7%
물 29
 
6.7%
비 28
 
6.5%
제 21
 
4.9%
작 21
 
4.9%
보 18
 
4.2%
홍 15
 
3.5%
Other values (72) 163
37.7%

시설면적
Real number (ℝ)

MISSING 

Distinct41
Distinct (%)97.6%
Missing52
Missing (%)55.3%
Infinite0
Infinite (%)0.0%
Mean73.013571
Minimum1
Maximum338.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T14:22:21.549928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.2305
Q131.0475
median64
Q392.3225
95-th percentile167.426
Maximum338.25
Range337.25
Interquartile range (IQR)61.275

Descriptive statistics

Standard deviation61.136613
Coefficient of variation (CV)0.83733219
Kurtosis7.6632104
Mean73.013571
Median Absolute Deviation (MAD)31.47
Skewness2.2292566
Sum3066.57
Variance3737.6855
MonotonicityNot monotonic
2024-05-11T14:22:21.785835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
30.72 2
 
2.1%
72.69 1
 
1.1%
81.49 1
 
1.1%
109.1 1
 
1.1%
48.36 1
 
1.1%
19.83 1
 
1.1%
95.0 1
 
1.1%
150.12 1
 
1.1%
17.88 1
 
1.1%
37.68 1
 
1.1%
Other values (31) 31
33.0%
(Missing) 52
55.3%
ValueCountFrequency (%)
1.0 1
1.1%
5.15 1
1.1%
6.67 1
1.1%
17.88 1
1.1%
18.0 1
1.1%
19.83 1
1.1%
23.14 1
1.1%
24.0 1
1.1%
26.4 1
1.1%
30.72 2
2.1%
ValueCountFrequency (%)
338.25 1
1.1%
182.1 1
1.1%
168.08 1
1.1%
155.0 1
1.1%
150.12 1
1.1%
123.0 1
1.1%
114.99 1
1.1%
109.1 1
1.1%
95.94 1
1.1%
95.0 1
1.1%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)41.2%
Missing77
Missing (%)81.9%
Infinite0
Infinite (%)0.0%
Mean3
Minimum0
Maximum15
Zeros6
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size978.0 B
2024-05-11T14:22:21.985568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile7.8
Maximum15
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.6912058
Coefficient of variation (CV)1.2304019
Kurtosis6.8049491
Mean3
Median Absolute Deviation (MAD)2
Skewness2.2562926
Sum51
Variance13.625
MonotonicityNot monotonic
2024-05-11T14:22:22.134730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 6
 
6.4%
4 4
 
4.3%
2 3
 
3.2%
6 1
 
1.1%
3 1
 
1.1%
5 1
 
1.1%
15 1
 
1.1%
(Missing) 77
81.9%
ValueCountFrequency (%)
0 6
6.4%
2 3
3.2%
3 1
 
1.1%
4 4
4.3%
5 1
 
1.1%
6 1
 
1.1%
15 1
 
1.1%
ValueCountFrequency (%)
15 1
 
1.1%
6 1
 
1.1%
5 1
 
1.1%
4 4
4.3%
3 1
 
1.1%
2 3
3.2%
0 6
6.4%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
80 
1
 
7
0
 
6
4
 
1

Length

Max length4
Median length4
Mean length3.5531915
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 80
85.1%
1 7
 
7.4%
0 6
 
6.4%
4 1
 
1.1%

Length

2024-05-11T14:22:22.278050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:22.484793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 80
85.1%
1 7
 
7.4%
0 6
 
6.4%
4 1
 
1.1%

건물용도명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing91
Missing (%)96.8%
Memory size884.0 B
2024-05-11T14:22:22.718444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5
Min length3

Characters and Unicode

Total characters15
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row근린생활시설
2nd row근린생활시설
3rd row아파트
ValueCountFrequency (%)
근린생활시설 2
66.7%
아파트 1
33.3%
2024-05-11T14:22:23.205857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
13.3%
린 2
13.3%
생 2
13.3%
활 2
13.3%
시 2
13.3%
설 2
13.3%
아 1
6.7%
파 1
6.7%
트 1
6.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
13.3%
린 2
13.3%
생 2
13.3%
활 2
13.3%
시 2
13.3%
설 2
13.3%
아 1
6.7%
파 1
6.7%
트 1
6.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
13.3%
린 2
13.3%
생 2
13.3%
활 2
13.3%
시 2
13.3%
설 2
13.3%
아 1
6.7%
파 1
6.7%
트 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
13.3%
린 2
13.3%
생 2
13.3%
활 2
13.3%
시 2
13.3%
설 2
13.3%
아 1
6.7%
파 1
6.7%
트 1
6.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
88 
0
 
6

Length

Max length4
Median length4
Mean length3.8085106
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> 88
93.6%
0 6
 
6.4%

Length

2024-05-11T14:22:23.519146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:23.783893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
93.6%
0 6
 
6.4%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
88 
0
 
6

Length

Max length4
Median length4
Mean length3.8085106
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> 88
93.6%
0 6
 
6.4%

Length

2024-05-11T14:22:24.014564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:24.227285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
93.6%
0 6
 
6.4%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
88 
0
 
6

Length

Max length4
Median length4
Mean length3.8085106
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> 88
93.6%
0 6
 
6.4%

Length

2024-05-11T14:22:24.471488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:24.595225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
93.6%
0 6
 
6.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
88 
0
 
6

Length

Max length4
Median length4
Mean length3.8085106
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> 88
93.6%
0 6
 
6.4%

Length

2024-05-11T14:22:24.721301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:24.851869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
93.6%
0 6
 
6.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
88 
0
 
6

Length

Max length4
Median length4
Mean length3.8085106
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> 88
93.6%
0 6
 
6.4%

Length

2024-05-11T14:22:24.999845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:22:25.129871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 88
93.6%
0 6
 
6.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

지역구분명
Text

MISSING 

Distinct3
Distinct (%)75.0%
Missing90
Missing (%)95.7%
Memory size884.0 B
2024-05-11T14:22:25.283320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.5
Min length4

Characters and Unicode

Total characters22
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)50.0%

Sample

1st row전용주거지역
2nd row일반주거지역
3rd row일반주거지역
4th row주거지역
ValueCountFrequency (%)
일반주거지역 2
50.0%
전용주거지역 1
25.0%
주거지역 1
25.0%
2024-05-11T14:22:25.636086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 4
18.2%
거 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
전 1
 
4.5%
용 1
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 4
18.2%
거 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
전 1
 
4.5%
용 1
 
4.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 4
18.2%
거 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
전 1
 
4.5%
용 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 4
18.2%
거 4
18.2%
지 4
18.2%
역 4
18.2%
일 2
9.1%
반 2
9.1%
전 1
 
4.5%
용 1
 
4.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03070000CDFF124107200100000220010427<NA>1영업/정상13영업중<NA><NA><NA><NA>926-5515<NA><NA>서울특별시 성북구 보문동*가 ***-*번지 KT*층서울특별시 성북구 보문로**다길 ** (보문동*가)2873(주)인서울2013-01-15 10:40:04I2018-08-31 23:59:59.0<NA>201711.608286453169.162692비디오물제작업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13070000CDFF124107200500000120051201<NA>3폐업3폐업20091029<NA><NA><NA><NA><NA><NA>서울특별시 성북구 동소문동*가 **번지 삼우빌딩 ***호서울특별시 성북구 성북로*길 ** (동소문동*가,삼우빌딩 ***호)<NA>(주)라바메이저2009-10-29 19:22:04I2018-08-31 23:59:59.0<NA>200582.658198454150.909962비디오물제작업<NA><NA><NA>비디오물, DVD<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23070000CDFF124107200600000120060316<NA>3폐업3폐업20110725<NA><NA><NA><NA><NA>136824서울특별시 성북구 성북동 ***-*번지서울특별시 성북구 성북로**가길 ** (성북동)<NA>북스티비2011-07-25 17:21:35I2018-08-31 23:59:59.0<NA>198935.249945454786.367962비디오물제작업유통관련업<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전용주거지역
33070000CDFF124107200600000220060818<NA>3폐업3폐업20110809<NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동*가 ***-*번지서울특별시 성북구 아리랑로 ** (동선동*가)<NA>네트워크 리더쉽 코리아2011-08-10 09:26:24I2018-08-31 23:59:59.0<NA>201344.940085454811.140935비디오물제작업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43070000CDFF124107200700000120070521<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 정릉동 ***-**번지서울특별시 성북구 보국문로 *** (정릉동)2704에스브이맥스코리아(주)2013-01-15 10:43:21I2018-08-31 23:59:59.0<NA>199805.575166457282.762373비디오물제작업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53070000CDFF124107200800000220080515<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 상월곡동 **번지서울특별시 성북구 장월로*길 **, *층 (상월곡동)2748모모필름2015-04-16 08:45:27I2018-08-31 23:59:59.0<NA>203854.314522455933.5971비디오물제작업<NA><NA><NA>비디오물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63070000CDFF124107200800000320081126<NA>3폐업3폐업20110117<NA><NA><NA>762-5244<NA><NA>서울특별시 성북구 삼선동*가 *번지서울특별시 성북구 창경궁로 *** (삼선동*가)<NA>(주)신붕민예2011-01-28 09:45:40I2018-08-31 23:59:59.0<NA>200382.271631453947.715387비디오물제작업<NA>7<NA>비디오물89.212<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73070000CDFF124107200900000220090528<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7501-3889<NA><NA>서울특별시 성북구 동선동*가 **번지 ***A호서울특별시 성북구 동소문로**길 ** (동선동*가)2840디지플럭스2013-01-16 10:13:57I2018-08-31 23:59:59.0<NA>201803.624049454867.240191비디오물제작업<NA><NA><NA>비디오물18.0<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>
83070000CDFF124107200900000320091126<NA>1영업/정상13영업중<NA><NA><NA><NA>562-9122<NA><NA>서울특별시 성북구 동선동*가 **-***번지 *층<NA><NA>픽스원 프로덕션2009-11-26 18:29:54I2018-08-31 23:59:59.0<NA><NA><NA>비디오물제작업<NA>5기타홍보용영상물, 교육용영상 및 애니메이션물, TV용 애니메이션95.9441근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반주거지역
93070000CDFF124107201000000120060508<NA>3폐업3폐업20110701<NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 **번지서울특별시 성북구 삼선교로*길 * (삼선동*가)<NA>미디어채널2011-07-01 14:41:33I2018-08-31 23:59:59.0<NA>200550.753526453896.601969비디오물제작업<NA><NA><NA>비디오<NA><NA><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
843070000CDFF12410720230000162023-10-05<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 보문동*가 *** 보문파크뷰자이서울특별시 성북구 보문사길 ***, ***동 ****호 (보문동*가, 보문파크뷰자이)2874살구와2023-10-05 19:57:15I2022-10-31 00:07:00.0<NA>201562.57179453092.434673<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
853070000CDFF12410720240000012024-01-12<NA>5제외/삭제/전출15전출2024-04-08<NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 ***-*서울특별시 성북구 삼선교로*길 ** (삼선동*가)2865스튜디오 온2024-04-08 17:40:18U2023-12-03 23:00:00.0<NA>200649.396568453792.019675<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
863070000CDFF12410720240000022024-02-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 ***-* 중앙하이츠아파트서울특별시 성북구 한천로**길 **, *동 ****호 (석관동, 중앙하이츠아파트)2781십사2024-02-13 07:58:10I2023-12-01 23:05:00.0<NA>205818.852385456530.895691<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
873070000CDFF12410720240000032024-02-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 ***-* 중앙하이츠아파트서울특별시 성북구 한천로**길 **, *동 ****호 (석관동, 중앙하이츠아파트)2781십사2024-03-12 10:20:17D2023-12-02 23:04:00.0<NA>205818.852385456530.895691<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
883070000CDFF12410720240000042024-03-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 *** 한국예술종합학교서울특별시 성북구 화랑로**길 ***-**, 한국예술종합학교 ***호 (석관동)2789주식회사 케이아츠크리에이티브2024-03-13 16:55:22I2023-12-02 23:06:00.0<NA>204863.310848455720.784852<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
893070000CDFF12410720240000052024-03-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 **-* 돈암동 삼성아파트서울특별시 성북구 동소문로**길 **, ***동 ***호 (돈암동, 돈암동 삼성아파트)2807팩토리홍2024-03-14 13:51:32I2023-12-02 23:06:00.0<NA>201989.271689455190.095863<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
903070000CDFF12410720240000062021-10-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동*가 ***-*서울특별시 성북구 보문로**가길 **, *층 (동선동*가)2844유니온 씨2024-03-18 17:52:38U2023-12-02 22:00:00.0<NA>201717.340929454466.29884<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
913070000CDFF12410720240000072024-03-18<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 장위동 **-** H하우스 장위서울특별시 성북구 화랑로 ***, *층 **호 (장위동, H하우스 장위)2776온택트 이엔엠2024-03-18 17:53:10I2023-12-02 22:00:00.0<NA>205084.821647456622.144612<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
923070000CDFF12410720240000082024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동선동*가 ***-* 벨라미아 오피스텔서울특별시 성북구 동소문로**길 **, 벨라미아 오피스텔 ****호 (동선동*가)2829태은랩앤코2024-04-15 10:29:43I2023-12-03 23:07:00.0<NA>201695.361119454822.854722<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
933070000CDFF12410720240000092024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 삼선동*가 **-*서울특별시 성북구 보문로**길 **, *층 (삼선동*가)2870일아 콘텐츠 랩2024-04-15 17:29:10I2023-12-03 23:07:00.0<NA>201113.932616453727.440425<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>