Overview

Dataset statistics

Number of variables56
Number of observations68
Missing cells1790
Missing cells (%)47.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.4 KiB
Average record size in memory487.9 B

Variable types

Categorical18
Text8
DateTime4
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
Author노원구
URLhttps://data.seoul.go.kr/dataList/OA-17377/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
소재지우편번호 is highly imbalanced (88.9%)Imbalance
총층수 is highly imbalanced (69.6%)Imbalance
지상층수 is highly imbalanced (69.6%)Imbalance
지하층수 is highly imbalanced (70.2%)Imbalance
건물용도명 is highly imbalanced (63.1%)Imbalance
통로너비 is highly imbalanced (62.1%)Imbalance
조명시설조도 is highly imbalanced (62.1%)Imbalance
노래방실수 is highly imbalanced (62.1%)Imbalance
청소년실수 is highly imbalanced (62.1%)Imbalance
총게임기수 is highly imbalanced (62.1%)Imbalance
지역구분명 is highly imbalanced (67.5%)Imbalance
인허가취소일자 has 68 (100.0%) missing valuesMissing
폐업일자 has 53 (77.9%) missing valuesMissing
휴업시작일자 has 68 (100.0%) missing valuesMissing
휴업종료일자 has 68 (100.0%) missing valuesMissing
재개업일자 has 68 (100.0%) missing valuesMissing
전화번호 has 47 (69.1%) missing valuesMissing
소재지면적 has 68 (100.0%) missing valuesMissing
도로명우편번호 has 5 (7.4%) missing valuesMissing
업태구분명 has 68 (100.0%) missing valuesMissing
문화사업자구분명 has 67 (98.5%) missing valuesMissing
주변환경명 has 61 (89.7%) missing valuesMissing
제작취급품목내용 has 29 (42.6%) missing valuesMissing
시설면적 has 32 (47.1%) missing valuesMissing
비상계단여부 has 68 (100.0%) missing valuesMissing
비상구여부 has 68 (100.0%) missing valuesMissing
자동환기여부 has 68 (100.0%) missing valuesMissing
청소년실여부 has 68 (100.0%) missing valuesMissing
특수조명여부 has 68 (100.0%) missing valuesMissing
방음시설여부 has 68 (100.0%) missing valuesMissing
비디오재생기명 has 68 (100.0%) missing valuesMissing
조명시설유무 has 68 (100.0%) missing valuesMissing
음향시설여부 has 68 (100.0%) missing valuesMissing
편의시설여부 has 68 (100.0%) missing valuesMissing
소방시설여부 has 68 (100.0%) missing valuesMissing
기존게임업외업종명 has 68 (100.0%) missing valuesMissing
제공게임물명 has 68 (100.0%) missing valuesMissing
공연장형태구분명 has 68 (100.0%) missing valuesMissing
품목명 has 68 (100.0%) missing valuesMissing
최초등록시점 has 68 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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

Reproduction

Analysis started2024-04-29 19:16:05.839865
Analysis finished2024-04-29 19:16:06.688777
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
3100000
68 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3100000
2nd row3100000
3rd row3100000
4th row3100000
5th row3100000

Common Values

ValueCountFrequency (%)
3100000 68
100.0%

Length

2024-04-30T04:16:06.750294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:06.824069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3100000 68
100.0%

관리번호
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-04-30T04:16:06.965542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1360
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

Unique68 ?
Unique (%)100.0%

Sample

1st rowCDFF1241072006000001
2nd rowCDFF1241072006000002
3rd rowCDFF1241072009000004
4th rowCDFF1241072009000005
5th rowCDFF1241072010000002
ValueCountFrequency (%)
cdff1241072006000001 1
 
1.5%
cdff1241072022000002 1
 
1.5%
cdff1241072021000004 1
 
1.5%
cdff1241072021000006 1
 
1.5%
cdff1241072021000007 1
 
1.5%
cdff1241072021000008 1
 
1.5%
cdff1241072022000001 1
 
1.5%
cdff1241072006000002 1
 
1.5%
cdff1241072022000004 1
 
1.5%
cdff1241072014000001 1
 
1.5%
Other values (58) 58
85.3%
2024-04-30T04:16:07.239198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 486
35.7%
2 204
15.0%
1 187
 
13.8%
F 136
 
10.0%
4 81
 
6.0%
7 76
 
5.6%
C 68
 
5.0%
D 68
 
5.0%
3 21
 
1.5%
9 12
 
0.9%
Other values (3) 21
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1088
80.0%
Uppercase Letter 272
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 486
44.7%
2 204
18.8%
1 187
 
17.2%
4 81
 
7.4%
7 76
 
7.0%
3 21
 
1.9%
9 12
 
1.1%
6 10
 
0.9%
8 6
 
0.6%
5 5
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 136
50.0%
C 68
25.0%
D 68
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1088
80.0%
Latin 272
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 486
44.7%
2 204
18.8%
1 187
 
17.2%
4 81
 
7.4%
7 76
 
7.0%
3 21
 
1.9%
9 12
 
1.1%
6 10
 
0.9%
8 6
 
0.6%
5 5
 
0.5%
Latin
ValueCountFrequency (%)
F 136
50.0%
C 68
25.0%
D 68
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 486
35.7%
2 204
15.0%
1 187
 
13.8%
F 136
 
10.0%
4 81
 
6.0%
7 76
 
5.6%
C 68
 
5.0%
D 68
 
5.0%
3 21
 
1.5%
9 12
 
0.9%
Other values (3) 21
 
1.5%

인허가일자
Date

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2006-02-09 00:00:00
Maximum2024-01-30 00:00:00
2024-04-30T04:16:07.367458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:16:07.494491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
1
53 
3
11 
5
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 53
77.9%
3 11
 
16.2%
5 4
 
5.9%

Length

2024-04-30T04:16:07.619646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:07.713214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 53
77.9%
3 11
 
16.2%
5 4
 
5.9%

영업상태명
Categorical

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
영업/정상
53 
폐업
11 
제외/삭제/전출
 
4

Length

Max length8
Median length5
Mean length4.6911765
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 53
77.9%
폐업 11
 
16.2%
제외/삭제/전출 4
 
5.9%

Length

2024-04-30T04:16:07.819412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:07.919366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 53
77.9%
폐업 11
 
16.2%
제외/삭제/전출 4
 
5.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
13
53 
3
11 
15
 
4

Length

Max length2
Median length2
Mean length1.8382353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 53
77.9%
3 11
 
16.2%
15 4
 
5.9%

Length

2024-04-30T04:16:08.006300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:08.092248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 53
77.9%
3 11
 
16.2%
15 4
 
5.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
영업중
53 
폐업
11 
전출
 
4

Length

Max length3
Median length3
Mean length2.7794118
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 53
77.9%
폐업 11
 
16.2%
전출 4
 
5.9%

Length

2024-04-30T04:16:08.203889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:08.287122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 53
77.9%
폐업 11
 
16.2%
전출 4
 
5.9%

폐업일자
Date

MISSING 

Distinct15
Distinct (%)100.0%
Missing53
Missing (%)77.9%
Memory size676.0 B
Minimum2008-02-29 00:00:00
Maximum2024-04-01 00:00:00
2024-04-30T04:16:08.378679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:16:08.480544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

전화번호
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing47
Missing (%)69.1%
Memory size676.0 B
2024-04-30T04:16:08.626028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.047619
Min length8

Characters and Unicode

Total characters232
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

Unique21 ?
Unique (%)100.0%

Sample

1st row02-936-0602
2nd row977-0717
3rd row951-2305
4th row951-1329
5th row6225-5159
ValueCountFrequency (%)
02-936-0602 1
 
4.8%
02-987-0316 1
 
4.8%
02-3422-5612 1
 
4.8%
070-7722-1859 1
 
4.8%
02-3676-2288 1
 
4.8%
02-3399-6888 1
 
4.8%
02-951-4561 1
 
4.8%
02-902-8165 1
 
4.8%
02-932-7903 1
 
4.8%
070-8274-1768 1
 
4.8%
Other values (11) 11
52.4%
2024-04-30T04:16:08.905894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 38
16.4%
0 36
15.5%
2 33
14.2%
1 21
9.1%
7 20
8.6%
9 19
8.2%
3 15
 
6.5%
5 15
 
6.5%
6 14
 
6.0%
8 12
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 194
83.6%
Dash Punctuation 38
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 36
18.6%
2 33
17.0%
1 21
10.8%
7 20
10.3%
9 19
9.8%
3 15
7.7%
5 15
7.7%
6 14
 
7.2%
8 12
 
6.2%
4 9
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 232
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 38
16.4%
0 36
15.5%
2 33
14.2%
1 21
9.1%
7 20
8.6%
9 19
8.2%
3 15
 
6.5%
5 15
 
6.5%
6 14
 
6.0%
8 12
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 232
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 38
16.4%
0 36
15.5%
2 33
14.2%
1 21
9.1%
7 20
8.6%
9 19
8.2%
3 15
 
6.5%
5 15
 
6.5%
6 14
 
6.0%
8 12
 
5.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
67 
139869
 
1

Length

Max length6
Median length4
Mean length4.0294118
Min length4

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row<NA>
2nd row139869
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 67
98.5%
139869 1
 
1.5%

Length

2024-04-30T04:16:09.047079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:09.147144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
98.5%
139869 1
 
1.5%

지번주소
Text

Distinct65
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-04-30T04:16:09.338498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length37.5
Mean length30.529412
Min length19

Characters and Unicode

Total characters2076
Distinct characters138
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)91.2%

Sample

1st row서울특별시 노원구 상계동 ***-*번지 청산빌딩 *층
2nd row서울특별시 노원구 하계동 **-*번지 *층
3rd row서울특별시 노원구 공릉동 **번지 태강아파트 ****동 ***호
4th row서울특별시 노원구 상계동 ****-**번지
5th row서울특별시 노원구 월계동 ***번지 월계*차한일아파트 ***동 ***호
ValueCountFrequency (%)
서울특별시 68
17.1%
노원구 68
17.1%
39
9.8%
호 31
 
7.8%
번지 27
 
6.8%
공릉동 26
 
6.5%
상계동 20
 
5.0%
중계동 10
 
2.5%
동 9
 
2.3%
월계동 8
 
2.0%
Other values (67) 91
22.9%
2024-04-30T04:16:09.693678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 405
19.5%
349
16.8%
동 85
 
4.1%
서 77
 
3.7%
울 76
 
3.7%
노 71
 
3.4%
원 71
 
3.4%
시 69
 
3.3%
구 68
 
3.3%
별 68
 
3.3%
Other values (128) 737
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1260
60.7%
Other Punctuation 406
 
19.6%
Space Separator 349
 
16.8%
Dash Punctuation 45
 
2.2%
Decimal Number 10
 
0.5%
Uppercase Letter 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 85
 
6.7%
서 77
 
6.1%
울 76
 
6.0%
노 71
 
5.6%
원 71
 
5.6%
시 69
 
5.5%
구 68
 
5.4%
별 68
 
5.4%
특 68
 
5.4%
계 49
 
3.9%
Other values (112) 558
44.3%
Decimal Number
ValueCountFrequency (%)
3 3
30.0%
9 2
20.0%
6 1
 
10.0%
0 1
 
10.0%
2 1
 
10.0%
4 1
 
10.0%
7 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
A 1
16.7%
K 1
16.7%
N 1
16.7%
S 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 405
99.8%
, 1
 
0.2%
Space Separator
ValueCountFrequency (%)
349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1260
60.7%
Common 810
39.0%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 85
 
6.7%
서 77
 
6.1%
울 76
 
6.0%
노 71
 
5.6%
원 71
 
5.6%
시 69
 
5.5%
구 68
 
5.4%
별 68
 
5.4%
특 68
 
5.4%
계 49
 
3.9%
Other values (112) 558
44.3%
Common
ValueCountFrequency (%)
* 405
50.0%
349
43.1%
- 45
 
5.6%
3 3
 
0.4%
9 2
 
0.2%
6 1
 
0.1%
0 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
7 1
 
0.1%
Latin
ValueCountFrequency (%)
B 2
33.3%
A 1
16.7%
K 1
16.7%
N 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1260
60.7%
ASCII 816
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 405
49.6%
349
42.8%
- 45
 
5.5%
3 3
 
0.4%
9 2
 
0.2%
B 2
 
0.2%
6 1
 
0.1%
0 1
 
0.1%
2 1
 
0.1%
4 1
 
0.1%
Other values (6) 6
 
0.7%
Hangul
ValueCountFrequency (%)
동 85
 
6.7%
서 77
 
6.1%
울 76
 
6.0%
노 71
 
5.6%
원 71
 
5.6%
시 69
 
5.5%
구 68
 
5.4%
별 68
 
5.4%
특 68
 
5.4%
계 49
 
3.9%
Other values (112) 558
44.3%

도로명주소
Text

Distinct64
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-04-30T04:16:09.918471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length40.529412
Min length27

Characters and Unicode

Total characters2756
Distinct characters155
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)89.7%

Sample

1st row서울특별시 노원구 노해로 *** (상계동,청산빌딩 *층)
2nd row서울특별시 노원구 공릉로**길 *** (하계동,*층)
3rd row서울특별시 노원구 공릉로**길 **, ****동 ***호 (공릉동, 태강아파트)
4th row서울특별시 노원구 동일로***길 ** (상계동)
5th row서울특별시 노원구 석계로**길 *-**, ***동 ***호 (월계동,월계*차한일아파트)
ValueCountFrequency (%)
서울특별시 68
13.4%
노원구 68
13.4%
66
13.0%
호 46
 
9.1%
공릉동 26
 
5.1%
층 25
 
4.9%
상계동 19
 
3.7%
동일로***길 13
 
2.6%
동 11
 
2.2%
중계동 9
 
1.8%
Other values (102) 157
30.9%
2024-04-30T04:16:10.253717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 510
18.5%
444
 
16.1%
동 111
 
4.0%
, 103
 
3.7%
서 78
 
2.8%
노 78
 
2.8%
울 76
 
2.8%
원 75
 
2.7%
시 69
 
2.5%
로 69
 
2.5%
Other values (145) 1143
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1524
55.3%
Other Punctuation 613
22.2%
Space Separator 444
 
16.1%
Open Punctuation 68
 
2.5%
Close Punctuation 68
 
2.5%
Dash Punctuation 16
 
0.6%
Uppercase Letter 11
 
0.4%
Decimal Number 11
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 111
 
7.3%
서 78
 
5.1%
노 78
 
5.1%
울 76
 
5.0%
원 75
 
4.9%
시 69
 
4.5%
로 69
 
4.5%
구 68
 
4.5%
별 68
 
4.5%
특 68
 
4.5%
Other values (126) 764
50.1%
Uppercase Letter
ValueCountFrequency (%)
B 4
36.4%
A 2
18.2%
C 2
18.2%
S 1
 
9.1%
N 1
 
9.1%
K 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
3 2
18.2%
9 2
18.2%
2 2
18.2%
7 1
 
9.1%
0 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
* 510
83.2%
, 103
 
16.8%
Space Separator
ValueCountFrequency (%)
444
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1524
55.3%
Common 1221
44.3%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 111
 
7.3%
서 78
 
5.1%
노 78
 
5.1%
울 76
 
5.0%
원 75
 
4.9%
시 69
 
4.5%
로 69
 
4.5%
구 68
 
4.5%
별 68
 
4.5%
특 68
 
4.5%
Other values (126) 764
50.1%
Common
ValueCountFrequency (%)
* 510
41.8%
444
36.4%
, 103
 
8.4%
( 68
 
5.6%
) 68
 
5.6%
- 16
 
1.3%
1 3
 
0.2%
3 2
 
0.2%
9 2
 
0.2%
2 2
 
0.2%
Other values (3) 3
 
0.2%
Latin
ValueCountFrequency (%)
B 4
36.4%
A 2
18.2%
C 2
18.2%
S 1
 
9.1%
N 1
 
9.1%
K 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1524
55.3%
ASCII 1232
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 510
41.4%
444
36.0%
, 103
 
8.4%
( 68
 
5.5%
) 68
 
5.5%
- 16
 
1.3%
B 4
 
0.3%
1 3
 
0.2%
3 2
 
0.2%
9 2
 
0.2%
Other values (9) 12
 
1.0%
Hangul
ValueCountFrequency (%)
동 111
 
7.3%
서 78
 
5.1%
노 78
 
5.1%
울 76
 
5.0%
원 75
 
4.9%
시 69
 
4.5%
로 69
 
4.5%
구 68
 
4.5%
별 68
 
4.5%
특 68
 
4.5%
Other values (126) 764
50.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)66.7%
Missing5
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean6164.5873
Minimum1612
Maximum139874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-04-30T04:16:10.361973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1612
5-th percentile1634
Q11717.5
median1811
Q31849
95-th percentile1886
Maximum139874
Range138262
Interquartile range (IQR)131.5

Descriptive statistics

Standard deviation24396.349
Coefficient of variation (CV)3.9574991
Kurtosis28.866562
Mean6164.5873
Median Absolute Deviation (MAD)49
Skewness5.4726905
Sum388369
Variance5.9518183 × 108
MonotonicityNot monotonic
2024-04-30T04:16:10.473951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
1849 6
 
8.8%
1811 5
 
7.4%
1886 4
 
5.9%
1844 4
 
5.9%
1662 2
 
2.9%
1878 2
 
2.9%
1856 2
 
2.9%
1764 2
 
2.9%
1634 2
 
2.9%
1860 2
 
2.9%
Other values (32) 32
47.1%
(Missing) 5
 
7.4%
ValueCountFrequency (%)
1612 1
1.5%
1626 1
1.5%
1630 1
1.5%
1634 2
2.9%
1643 1
1.5%
1662 2
2.9%
1681 1
1.5%
1685 1
1.5%
1689 1
1.5%
1690 1
1.5%
ValueCountFrequency (%)
139874 1
 
1.5%
139773 1
 
1.5%
1909 1
 
1.5%
1886 4
5.9%
1878 2
 
2.9%
1860 2
 
2.9%
1856 2
 
2.9%
1849 6
8.8%
1848 1
 
1.5%
1844 4
5.9%

사업장명
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-04-30T04:16:10.697514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length8.2647059
Min length3

Characters and Unicode

Total characters562
Distinct characters189
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st row큐엔씨
2nd row브이스타
3rd row미디어블랙
4th row(주)아트레인
5th row엠디씨(MDC)
ValueCountFrequency (%)
주식회사 21
 
20.4%
미디어 2
 
1.9%
큐엔씨 1
 
1.0%
오르 1
 
1.0%
아이들미디어 1
 
1.0%
로카나엔터테인먼트 1
 
1.0%
협동조합 1
 
1.0%
아름다운동행장애인복지 1
 
1.0%
미디어뮤 1
 
1.0%
브이스타 1
 
1.0%
Other values (72) 72
69.9%
2024-04-30T04:16:11.023412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
6.2%
주 28
 
5.0%
디 23
 
4.1%
식 22
 
3.9%
회 22
 
3.9%
사 22
 
3.9%
스 22
 
3.9%
이 19
 
3.4%
어 13
 
2.3%
미 12
 
2.1%
Other values (179) 344
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 451
80.2%
Space Separator 35
 
6.2%
Lowercase Letter 30
 
5.3%
Uppercase Letter 20
 
3.6%
Open Punctuation 11
 
2.0%
Close Punctuation 11
 
2.0%
Decimal Number 3
 
0.5%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 28
 
6.2%
디 23
 
5.1%
식 22
 
4.9%
회 22
 
4.9%
사 22
 
4.9%
스 22
 
4.9%
이 19
 
4.2%
어 13
 
2.9%
미 12
 
2.7%
오 11
 
2.4%
Other values (143) 257
57.0%
Lowercase Letter
ValueCountFrequency (%)
s 3
10.0%
e 3
10.0%
o 3
10.0%
l 2
 
6.7%
t 2
 
6.7%
n 2
 
6.7%
m 2
 
6.7%
g 2
 
6.7%
i 2
 
6.7%
u 2
 
6.7%
Other values (7) 7
23.3%
Uppercase Letter
ValueCountFrequency (%)
D 3
15.0%
S 2
10.0%
I 2
10.0%
M 2
10.0%
O 2
10.0%
C 2
10.0%
B 1
 
5.0%
V 1
 
5.0%
H 1
 
5.0%
G 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
9 2
66.7%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 452
80.4%
Common 60
 
10.7%
Latin 50
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 28
 
6.2%
디 23
 
5.1%
식 22
 
4.9%
회 22
 
4.9%
사 22
 
4.9%
스 22
 
4.9%
이 19
 
4.2%
어 13
 
2.9%
미 12
 
2.7%
오 11
 
2.4%
Other values (144) 258
57.1%
Latin
ValueCountFrequency (%)
s 3
 
6.0%
e 3
 
6.0%
o 3
 
6.0%
D 3
 
6.0%
l 2
 
4.0%
t 2
 
4.0%
n 2
 
4.0%
m 2
 
4.0%
g 2
 
4.0%
i 2
 
4.0%
Other values (20) 26
52.0%
Common
ValueCountFrequency (%)
35
58.3%
( 11
 
18.3%
) 11
 
18.3%
9 2
 
3.3%
6 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 451
80.2%
ASCII 110
 
19.6%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
31.8%
( 11
 
10.0%
) 11
 
10.0%
s 3
 
2.7%
e 3
 
2.7%
o 3
 
2.7%
D 3
 
2.7%
l 2
 
1.8%
t 2
 
1.8%
n 2
 
1.8%
Other values (25) 35
31.8%
Hangul
ValueCountFrequency (%)
주 28
 
6.2%
디 23
 
5.1%
식 22
 
4.9%
회 22
 
4.9%
사 22
 
4.9%
스 22
 
4.9%
이 19
 
4.2%
어 13
 
2.9%
미 12
 
2.7%
오 11
 
2.4%
Other values (143) 257
57.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정일자
Date

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2009-05-21 11:58:44
Maximum2024-04-01 09:51:12
2024-04-30T04:16:11.150327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:16:11.291836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
I
54 
U
14 

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 54
79.4%
U 14
 
20.6%

Length

2024-04-30T04:16:11.439312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:11.573545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 54
79.4%
u 14
 
20.6%

데이터갱신일자
Date

Distinct53
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:03:00
2024-04-30T04:16:11.680483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:16:11.824447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

좌표정보(X)
Real number (ℝ)

Distinct55
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206179.58
Minimum204686.3
Maximum209288.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-04-30T04:16:12.128058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum204686.3
5-th percentile204790.42
Q1205418.75
median206385.23
Q3206719.93
95-th percentile207279.92
Maximum209288.47
Range4602.1696
Interquartile range (IQR)1301.1797

Descriptive statistics

Standard deviation882.7073
Coefficient of variation (CV)0.0042812547
Kurtosis0.83413098
Mean206179.58
Median Absolute Deviation (MAD)596.21958
Skewness0.39414507
Sum14020211
Variance779172.18
MonotonicityNot monotonic
2024-04-30T04:16:12.248969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206981.454072644 5
 
7.4%
206594.474351648 3
 
4.4%
205276.464283569 3
 
4.4%
205094.697210104 2
 
2.9%
206708.878294585 2
 
2.9%
204790.424786507 2
 
2.9%
206793.849801814 2
 
2.9%
206670.816544196 2
 
2.9%
205788.520459277 1
 
1.5%
206020.891240505 1
 
1.5%
Other values (45) 45
66.2%
ValueCountFrequency (%)
204686.303014455 1
1.5%
204738.33842881 1
1.5%
204772.500639238 1
1.5%
204790.424786507 2
2.9%
204925.644547521 1
1.5%
205048.697374235 1
1.5%
205067.90796543 1
1.5%
205094.697210104 2
2.9%
205185.519399243 1
1.5%
205264.637477558 1
1.5%
ValueCountFrequency (%)
209288.472624641 1
 
1.5%
207918.320414714 1
 
1.5%
207381.331979867 1
 
1.5%
207282.938831263 1
 
1.5%
207274.300313358 1
 
1.5%
207098.659548494 1
 
1.5%
207098.659537249 1
 
1.5%
207025.617763175 1
 
1.5%
206981.454072644 5
7.4%
206793.849801814 2
 
2.9%

좌표정보(Y)
Real number (ℝ)

Distinct55
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459788.5
Minimum457227.46
Maximum464208.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-04-30T04:16:12.365829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum457227.46
5-th percentile457415.8
Q1458004.78
median459109.09
Q3461401.48
95-th percentile463556.04
Maximum464208.31
Range6980.8495
Interquartile range (IQR)3396.7053

Descriptive statistics

Standard deviation2008.1578
Coefficient of variation (CV)0.0043675686
Kurtosis-0.86938893
Mean459788.5
Median Absolute Deviation (MAD)1485.5874
Skewness0.56704288
Sum31265618
Variance4032697.9
MonotonicityNot monotonic
2024-04-30T04:16:12.493621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
458960.471391303 5
 
7.4%
458013.119839851 3
 
4.4%
457964.12611609 3
 
4.4%
460821.487931542 2
 
2.9%
457477.154924921 2
 
2.9%
458749.280581727 2
 
2.9%
457535.589149023 2
 
2.9%
460805.152066849 2
 
2.9%
461786.167074172 1
 
1.5%
460461.895023472 1
 
1.5%
Other values (45) 45
66.2%
ValueCountFrequency (%)
457227.455882764 1
1.5%
457367.50332357 1
1.5%
457374.575999081 1
1.5%
457382.760418901 1
1.5%
457477.154924921 2
2.9%
457535.589149023 2
2.9%
457654.943918774 1
1.5%
457672.865169088 1
1.5%
457890.004537377 1
1.5%
457897.781977757 1
1.5%
ValueCountFrequency (%)
464208.305428933 1
1.5%
463626.879945225 1
1.5%
463606.782949743 1
1.5%
463579.872056086 1
1.5%
463511.788573322 1
1.5%
463287.58273428 1
1.5%
463287.58270761 1
1.5%
463253.044909639 1
1.5%
462037.250510734 1
1.5%
461997.425235484 1
1.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
비디오물제작업
39 
<NA>
29 

Length

Max length7
Median length7
Mean length5.7205882
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물제작업 39
57.4%
<NA> 29
42.6%

Length

2024-04-30T04:16:12.627602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:12.726107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물제작업 39
57.4%
na 29
42.6%

문화사업자구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing67
Missing (%)98.5%
Memory size676.0 B
2024-04-30T04:16:12.826020image/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%
2024-04-30T04:16:13.034023image/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
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
60 
0
 
5
13
 
1
2
 
1
6
 
1

Length

Max length4
Median length4
Mean length3.6617647
Min length1

Unique

Unique3 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
88.2%
0 5
 
7.4%
13 1
 
1.5%
2 1
 
1.5%
6 1
 
1.5%

Length

2024-04-30T04:16:13.156634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:13.263890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
88.2%
0 5
 
7.4%
13 1
 
1.5%
2 1
 
1.5%
6 1
 
1.5%

주변환경명
Text

MISSING 

Distinct5
Distinct (%)71.4%
Missing61
Missing (%)89.7%
Memory size676.0 B
2024-04-30T04:16:13.372373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.4285714
Min length2

Characters and Unicode

Total characters38
Distinct characters20
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

Unique4 ?
Unique (%)57.1%

Sample

1st row주택가주변
2nd row아파트지역
3rd row기타
4th row아파트지역
5th row아파트지역
ValueCountFrequency (%)
아파트지역 3
42.9%
주택가주변 1
 
14.3%
기타 1
 
14.3%
학교정화(상대 1
 
14.3%
학교정화(절대 1
 
14.3%
2024-04-30T04:16:13.585430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 3
 
7.9%
트 3
 
7.9%
지 3
 
7.9%
역 3
 
7.9%
파 3
 
7.9%
화 2
 
5.3%
주 2
 
5.3%
) 2
 
5.3%
대 2
 
5.3%
( 2
 
5.3%
Other values (10) 13
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34
89.5%
Close Punctuation 2
 
5.3%
Open Punctuation 2
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 3
 
8.8%
트 3
 
8.8%
지 3
 
8.8%
역 3
 
8.8%
파 3
 
8.8%
화 2
 
5.9%
주 2
 
5.9%
대 2
 
5.9%
학 2
 
5.9%
교 2
 
5.9%
Other values (8) 9
26.5%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34
89.5%
Common 4
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 3
 
8.8%
트 3
 
8.8%
지 3
 
8.8%
역 3
 
8.8%
파 3
 
8.8%
화 2
 
5.9%
주 2
 
5.9%
대 2
 
5.9%
학 2
 
5.9%
교 2
 
5.9%
Other values (8) 9
26.5%
Common
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34
89.5%
ASCII 4
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 3
 
8.8%
트 3
 
8.8%
지 3
 
8.8%
역 3
 
8.8%
파 3
 
8.8%
화 2
 
5.9%
주 2
 
5.9%
대 2
 
5.9%
학 2
 
5.9%
교 2
 
5.9%
Other values (8) 9
26.5%
ASCII
ValueCountFrequency (%)
) 2
50.0%
( 2
50.0%

제작취급품목내용
Text

MISSING 

Distinct37
Distinct (%)94.9%
Missing29
Missing (%)42.6%
Memory size676.0 B
2024-04-30T04:16:13.768520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length19
Mean length12.128205
Min length3

Characters and Unicode

Total characters473
Distinct characters97
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)89.7%

Sample

1st row비디오물
2nd row요가, 스포츠, 교육 비디오 등
3rd row비디오물제작
4th row영상물제작
5th row애니메이션,영화,홍보영상등
ValueCountFrequency (%)
비디오물 7
 
7.4%
제작 6
 
6.3%
홍보영상 5
 
5.3%
광고 5
 
5.3%
영상물 4
 
4.2%
영상 4
 
4.2%
영상제작 4
 
4.2%
등 4
 
4.2%
및 3
 
3.2%
동영상 3
 
3.2%
Other values (45) 50
52.6%
2024-04-30T04:16:14.089234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
11.8%
영 41
 
8.7%
상 36
 
7.6%
, 33
 
7.0%
물 19
 
4.0%
제 19
 
4.0%
작 19
 
4.0%
디 18
 
3.8%
비 16
 
3.4%
오 15
 
3.2%
Other values (87) 201
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 370
78.2%
Space Separator 56
 
11.8%
Other Punctuation 34
 
7.2%
Uppercase Letter 7
 
1.5%
Close Punctuation 3
 
0.6%
Open Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 41
 
11.1%
상 36
 
9.7%
물 19
 
5.1%
제 19
 
5.1%
작 19
 
5.1%
디 18
 
4.9%
비 16
 
4.3%
오 15
 
4.1%
홍 10
 
2.7%
보 10
 
2.7%
Other values (77) 167
45.1%
Uppercase Letter
ValueCountFrequency (%)
D 3
42.9%
C 1
 
14.3%
V 1
 
14.3%
H 1
 
14.3%
F 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 33
97.1%
? 1
 
2.9%
Space Separator
ValueCountFrequency (%)
56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 370
78.2%
Common 96
 
20.3%
Latin 7
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 41
 
11.1%
상 36
 
9.7%
물 19
 
5.1%
제 19
 
5.1%
작 19
 
5.1%
디 18
 
4.9%
비 16
 
4.3%
오 15
 
4.1%
홍 10
 
2.7%
보 10
 
2.7%
Other values (77) 167
45.1%
Common
ValueCountFrequency (%)
56
58.3%
, 33
34.4%
) 3
 
3.1%
( 3
 
3.1%
? 1
 
1.0%
Latin
ValueCountFrequency (%)
D 3
42.9%
C 1
 
14.3%
V 1
 
14.3%
H 1
 
14.3%
F 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 370
78.2%
ASCII 103
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
54.4%
, 33
32.0%
D 3
 
2.9%
) 3
 
2.9%
( 3
 
2.9%
C 1
 
1.0%
V 1
 
1.0%
H 1
 
1.0%
? 1
 
1.0%
F 1
 
1.0%
Hangul
ValueCountFrequency (%)
영 41
 
11.1%
상 36
 
9.7%
물 19
 
5.1%
제 19
 
5.1%
작 19
 
5.1%
디 18
 
4.9%
비 16
 
4.3%
오 15
 
4.1%
홍 10
 
2.7%
보 10
 
2.7%
Other values (77) 167
45.1%

시설면적
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)94.4%
Missing32
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean787.36806
Minimum3.3
Maximum24995.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-04-30T04:16:14.197919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile8.325
Q129.375
median46.245
Q388.6575
95-th percentile636.01
Maximum24995.91
Range24992.61
Interquartile range (IQR)59.2825

Descriptive statistics

Standard deviation4152.6777
Coefficient of variation (CV)5.2741252
Kurtosis35.900312
Mean787.36806
Median Absolute Deviation (MAD)32.035
Skewness5.9880271
Sum28345.25
Variance17244732
MonotonicityNot monotonic
2024-04-30T04:16:14.318388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
29.5 2
 
2.9%
3.3 2
 
2.9%
42.21 1
 
1.5%
148.58 1
 
1.5%
165.12 1
 
1.5%
84.2 1
 
1.5%
15.0 1
 
1.5%
100.0 1
 
1.5%
29.0 1
 
1.5%
667.27 1
 
1.5%
Other values (24) 24
35.3%
(Missing) 32
47.1%
ValueCountFrequency (%)
3.3 2
2.9%
10.0 1
1.5%
15.0 1
1.5%
18.0 1
1.5%
18.91 1
1.5%
24.48 1
1.5%
26.45 1
1.5%
29.0 1
1.5%
29.5 2
2.9%
30.0 1
1.5%
ValueCountFrequency (%)
24995.91 1
1.5%
667.27 1
1.5%
625.59 1
1.5%
330.5 1
1.5%
165.12 1
1.5%
148.58 1
1.5%
100.0 1
1.5%
98.53 1
1.5%
89.91 1
1.5%
88.24 1
1.5%

지상층수
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
60 
0
 
5
10
 
1
9
 
1
5
 
1

Length

Max length4
Median length4
Mean length3.6617647
Min length1

Unique

Unique3 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 60
88.2%
0 5
 
7.4%
10 1
 
1.5%
9 1
 
1.5%
5 1
 
1.5%

Length

2024-04-30T04:16:14.444415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:14.532206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 60
88.2%
0 5
 
7.4%
10 1
 
1.5%
9 1
 
1.5%
5 1
 
1.5%

지하층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
61 
0
 
5
3
 
1
1
 
1

Length

Max length4
Median length4
Mean length3.6911765
Min length1

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
89.7%
0 5
 
7.4%
3 1
 
1.5%
1 1
 
1.5%

Length

2024-04-30T04:16:14.641607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:14.731955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
89.7%
0 5
 
7.4%
3 1
 
1.5%
1 1
 
1.5%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
58 
근린생활시설
 
4
아파트
 
4
사무실
 
1
교육연구시설
 
1

Length

Max length6
Median length4
Mean length4.0735294
Min length3

Unique

Unique2 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 58
85.3%
근린생활시설 4
 
5.9%
아파트 4
 
5.9%
사무실 1
 
1.5%
교육연구시설 1
 
1.5%

Length

2024-04-30T04:16:14.822704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:14.924631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
85.3%
근린생활시설 4
 
5.9%
아파트 4
 
5.9%
사무실 1
 
1.5%
교육연구시설 1
 
1.5%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
63 
0
 
5

Length

Max length4
Median length4
Mean length3.7794118
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> 63
92.6%
0 5
 
7.4%

Length

2024-04-30T04:16:15.016645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:15.100646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
92.6%
0 5
 
7.4%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
63 
0
 
5

Length

Max length4
Median length4
Mean length3.7794118
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> 63
92.6%
0 5
 
7.4%

Length

2024-04-30T04:16:15.205619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:15.290713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
92.6%
0 5
 
7.4%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
63 
0
 
5

Length

Max length4
Median length4
Mean length3.7794118
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> 63
92.6%
0 5
 
7.4%

Length

2024-04-30T04:16:15.376771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:15.466788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
92.6%
0 5
 
7.4%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
63 
0
 
5

Length

Max length4
Median length4
Mean length3.7794118
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> 63
92.6%
0 5
 
7.4%

Length

2024-04-30T04:16:15.554156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:15.635216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
92.6%
0 5
 
7.4%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
63 
0
 
5

Length

Max length4
Median length4
Mean length3.7794118
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> 63
92.6%
0 5
 
7.4%

Length

2024-04-30T04:16:15.731027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:15.816670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
92.6%
0 5
 
7.4%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing68
Missing (%)100.0%
Memory size744.0 B

지역구분명
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
59 
주거지역
6 
일반주거지역
 
1
준주거지역
 
1
자연녹지지역
 
1

Length

Max length6
Median length4
Mean length4.0735294
Min length4

Unique

Unique3 ?
Unique (%)4.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 59
86.8%
주거지역 6
 
8.8%
일반주거지역 1
 
1.5%
준주거지역 1
 
1.5%
자연녹지지역 1
 
1.5%

Length

2024-04-30T04:16:15.929934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:16:16.038644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
86.8%
주거지역 6
 
8.8%
일반주거지역 1
 
1.5%
준주거지역 1
 
1.5%
자연녹지지역 1
 
1.5%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03100000CDFF124107200600000120060510<NA>3폐업3폐업20080229<NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-*번지 청산빌딩 *층서울특별시 노원구 노해로 *** (상계동,청산빌딩 *층)<NA>큐엔씨2013-12-30 10:37:22I2018-08-31 23:59:59.0<NA>205067.907965461303.9789비디오물제작업<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>
13100000CDFF124107200600000220061108<NA>3폐업3폐업20090521<NA><NA><NA>02-936-0602<NA>139869서울특별시 노원구 하계동 **-*번지 *층서울특별시 노원구 공릉로**길 *** (하계동,*층)<NA>브이스타2009-05-21 11:58:44I2018-08-31 23:59:59.0<NA>206484.465352459252.431495비디오물제작업유통관련업<NA><NA>요가, 스포츠, 교육 비디오 등<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23100000CDFF124107200900000420090609<NA>3폐업3폐업20110331<NA><NA><NA>977-0717<NA><NA>서울특별시 노원구 공릉동 **번지 태강아파트 ****동 ***호서울특별시 노원구 공릉로**길 **, ****동 ***호 (공릉동, 태강아파트)139773미디어블랙2013-12-13 11:35:11I2018-08-31 23:59:59.0<NA>207274.300313457909.125969비디오물제작업<NA><NA><NA>비디오물제작10.0<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>
33100000CDFF124107200900000520091023<NA>3폐업3폐업20170215<NA><NA><NA>951-2305<NA><NA>서울특별시 노원구 상계동 ****-**번지서울특별시 노원구 동일로***길 ** (상계동)<NA>(주)아트레인2017-02-15 15:14:25I2018-08-31 23:59:59.0<NA>204738.338429463626.879945비디오물제작업<NA><NA><NA>영상물제작625.59<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43100000CDFF124107201000000220100531<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 ***번지 월계*차한일아파트 ***동 ***호서울특별시 노원구 석계로**길 *-**, ***동 ***호 (월계동,월계*차한일아파트)<NA>엠디씨(MDC)2010-05-31 16:17:23I2018-08-31 23:59:59.0<NA>205404.438981457654.943919비디오물제작업<NA><NA><NA>애니메이션,영화,홍보영상등84.84<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53100000CDFF124107201000000320100929<NA>3폐업3폐업20180831<NA><NA><NA>951-1329<NA><NA>서울특별시 노원구 중계동 ***-*번지 두타빌제에이동***호서울특별시 노원구 한글비석로 *** (중계동,두타빌제에이동***호)<NA>디자인마인 미디어2018-08-31 15:06:43I2018-08-31 23:59:59.0<NA>206670.816544460805.152067비디오물제작업<NA><NA><NA>HD영상물촬영,편집29.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63100000CDFF124107201100000120111209<NA>3폐업3폐업20121121<NA><NA><NA>6225-5159<NA><NA>서울특별시 노원구 상계동 ****번지 희성오피앙 ****호서울특별시 노원구 동일로 ****, ****호 (상계동, 희성오피앙)139874SBSDV2012-11-21 10:47:56I2018-08-31 23:59:59.0<NA>204772.500639464208.305429비디오물제작업<NA>13주택가주변비디오제작24995.91103근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
73100000CDFF124107201300000120130502<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 월계동 **번지 삼호아파트 **동 ***호서울특별시 노원구 마들로 ***, **동 ***호 (월계동, 삼호아파트)1909다큐앤아트2013-05-02 21:10:33I2018-08-31 23:59:59.0<NA>205705.336876458028.97753비디오물제작업<NA><NA>아파트지역영상콘텐츠 등59.229<NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
83100000CDFF124107201400000120140115<NA>3폐업3폐업20161107<NA><NA><NA>02-3476-1171<NA><NA>서울특별시 노원구 하계동 ***-*번지 웅천상가 ***호서울특별시 노원구 공릉로**길 **, ***호 (하계동, 웅천상가)1831동화과학기술2016-11-07 17:58:45I2018-08-31 23:59:59.0<NA>206202.853231458984.510993비디오물제작업<NA><NA>기타플라네타리움 상영용 영상(다채널),간이플라네타리움용 영상(단채널),일반 영화 및 비디오물44.64<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
93100000CDFF124107201400000220140227<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 중계동 ***번지 상아아파트 **동 ***호서울특별시 노원구 섬밭로 ***, **동 ***호 (중계동, 상아아파트)1774아이디어프리2014-02-27 13:56:20I2018-08-31 23:59:59.0<NA>205445.843883459604.311547비디오물제작업<NA><NA>아파트지역홍보영상 및 영상물84.97<NA><NA>아파트<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
583100000CDFF12410720230000052023-03-20<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7722-1859<NA><NA>서울특별시 노원구 상계동 **** 성림아파트 상가동 *층 ***-***호서울특별시 노원구 덕릉로***길 **, 상가동 *층 ***-***호 (상계동, 성림아파트)1634주식회사 현미디어2023-05-08 09:02:46U2022-12-04 23:00:00.0<NA>207098.659548463287.582734<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
593100000CDFF12410720230000062022-02-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3422-5612<NA><NA>서울특별시 노원구 공릉동 ***-* 그린힐서울특별시 노원구 화랑로 ***, 그린힐 ***호, ***호 (공릉동)1849그래픽오션2023-05-12 14:48:06I2022-12-04 23:04:00.0<NA>206778.450736457367.503324<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
603100000CDFF12410720230000072023-05-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 상계동 ***-** 지층 *호서울특별시 노원구 상계로*길 **, 지층 *호 (상계동)1685주식회사 디디다2023-05-15 11:16:43I2022-12-04 23:07:00.0<NA>205788.520459461786.167074<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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623100000CDFF12410720230000092023-06-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 노원구 하계동 ***-* 건영아파트 *동 ***호서울특별시 노원구 섬밭로 ***, *동 ***호 (하계동, 극동,건영,벽산아파트)1776언더스코어2023-06-28 11:22:58I2022-12-05 21:00:00.0<NA>205601.066016459233.675552<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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