Overview

Dataset statistics

Number of variables56
Number of observations33
Missing cells931
Missing cells (%)50.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.0 KiB
Average record size in memory495.0 B

Variable types

Categorical17
Text5
DateTime4
Unsupported26
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
Author도봉구
URLhttps://data.seoul.go.kr/dataList/OA-17736/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (70.8%)Imbalance
총층수 is highly imbalanced (80.4%)Imbalance
시설면적 is highly imbalanced (80.4%)Imbalance
지상층수 is highly imbalanced (80.4%)Imbalance
지하층수 is highly imbalanced (80.4%)Imbalance
통로너비 is highly imbalanced (80.4%)Imbalance
조명시설조도 is highly imbalanced (80.4%)Imbalance
노래방실수 is highly imbalanced (80.4%)Imbalance
청소년실수 is highly imbalanced (80.4%)Imbalance
총게임기수 is highly imbalanced (80.4%)Imbalance
인허가취소일자 has 33 (100.0%) missing valuesMissing
폐업일자 has 29 (87.9%) missing valuesMissing
휴업시작일자 has 33 (100.0%) missing valuesMissing
휴업종료일자 has 33 (100.0%) missing valuesMissing
재개업일자 has 33 (100.0%) missing valuesMissing
전화번호 has 27 (81.8%) missing valuesMissing
소재지면적 has 33 (100.0%) missing valuesMissing
도로명주소 has 1 (3.0%) missing valuesMissing
도로명우편번호 has 6 (18.2%) missing valuesMissing
업태구분명 has 33 (100.0%) missing valuesMissing
문화사업자구분명 has 33 (100.0%) missing valuesMissing
주변환경명 has 33 (100.0%) missing valuesMissing
제작취급품목내용 has 33 (100.0%) missing valuesMissing
건물용도명 has 33 (100.0%) missing valuesMissing
비상계단여부 has 33 (100.0%) missing valuesMissing
비상구여부 has 33 (100.0%) missing valuesMissing
자동환기여부 has 33 (100.0%) missing valuesMissing
청소년실여부 has 33 (100.0%) missing valuesMissing
특수조명여부 has 33 (100.0%) missing valuesMissing
방음시설여부 has 33 (100.0%) missing valuesMissing
비디오재생기명 has 33 (100.0%) missing valuesMissing
조명시설유무 has 33 (100.0%) missing valuesMissing
음향시설여부 has 33 (100.0%) missing valuesMissing
편의시설여부 has 33 (100.0%) missing valuesMissing
소방시설여부 has 33 (100.0%) missing valuesMissing
기존게임업외업종명 has 33 (100.0%) missing valuesMissing
제공게임물명 has 33 (100.0%) missing valuesMissing
공연장형태구분명 has 33 (100.0%) missing valuesMissing
품목명 has 33 (100.0%) missing valuesMissing
최초등록시점 has 10 (30.3%) missing valuesMissing
지역구분명 has 33 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:26:46.105291
Analysis finished2024-04-29 19:26:46.846995
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
3090000
33 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3090000
2nd row3090000
3rd row3090000
4th row3090000
5th row3090000

Common Values

ValueCountFrequency (%)
3090000 33
100.0%

Length

2024-04-30T04:26:46.910840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:46.996319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3090000 33
100.0%

관리번호
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-30T04:26:47.143609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters660
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

Unique33 ?
Unique (%)100.0%

Sample

1st rowCDFF5211012001000001
2nd rowCDFF5211012004000001
3rd rowCDFF5211012008000001
4th rowCDFF5211012009000001
5th rowCDFF5211012009000002
ValueCountFrequency (%)
cdff5211012001000001 1
 
3.0%
cdff5211012020000001 1
 
3.0%
cdff5211012023000005 1
 
3.0%
cdff5211012023000004 1
 
3.0%
cdff5211012023000003 1
 
3.0%
cdff5211012023000002 1
 
3.0%
cdff5211012023000001 1
 
3.0%
cdff5211012022000002 1
 
3.0%
cdff5211012022000001 1
 
3.0%
cdff5211012021000003 1
 
3.0%
Other values (23) 23
69.7%
2024-04-30T04:26:47.415918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 241
36.5%
1 128
19.4%
2 91
 
13.8%
F 66
 
10.0%
5 36
 
5.5%
C 33
 
5.0%
D 33
 
5.0%
3 13
 
2.0%
4 5
 
0.8%
8 4
 
0.6%
Other values (3) 10
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 528
80.0%
Uppercase Letter 132
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 241
45.6%
1 128
24.2%
2 91
 
17.2%
5 36
 
6.8%
3 13
 
2.5%
4 5
 
0.9%
8 4
 
0.8%
9 4
 
0.8%
7 4
 
0.8%
6 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 66
50.0%
C 33
25.0%
D 33
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
80.0%
Latin 132
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 241
45.6%
1 128
24.2%
2 91
 
17.2%
5 36
 
6.8%
3 13
 
2.5%
4 5
 
0.9%
8 4
 
0.8%
9 4
 
0.8%
7 4
 
0.8%
6 2
 
0.4%
Latin
ValueCountFrequency (%)
F 66
50.0%
C 33
25.0%
D 33
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 241
36.5%
1 128
19.4%
2 91
 
13.8%
F 66
 
10.0%
5 36
 
5.5%
C 33
 
5.0%
D 33
 
5.0%
3 13
 
2.0%
4 5
 
0.8%
8 4
 
0.6%
Other values (3) 10
 
1.5%

인허가일자
Date

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum1985-08-19 00:00:00
Maximum2023-06-08 00:00:00
2024-04-30T04:26:47.542160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:26:47.643661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
1
29 
5
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
87.9%
5 4
 
12.1%

Length

2024-04-30T04:26:47.756356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:47.834948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
87.9%
5 4
 
12.1%

영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업/정상
29 
제외/삭제/전출
4 

Length

Max length8
Median length5
Mean length5.3636364
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 29
87.9%
제외/삭제/전출 4
 
12.1%

Length

2024-04-30T04:26:47.922152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:48.015882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
87.9%
제외/삭제/전출 4
 
12.1%

상세영업상태코드
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
13
29 
15
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 29
87.9%
15 4
 
12.1%

Length

2024-04-30T04:26:48.113483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:48.196763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 29
87.9%
15 4
 
12.1%

상세영업상태명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영업중
29 
전출
4 

Length

Max length3
Median length3
Mean length2.8787879
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 29
87.9%
전출 4
 
12.1%

Length

2024-04-30T04:26:48.321242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:48.411613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 29
87.9%
전출 4
 
12.1%

폐업일자
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing29
Missing (%)87.9%
Memory size396.0 B
Minimum2023-06-13 00:00:00
Maximum2024-03-14 00:00:00
2024-04-30T04:26:48.478140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:26:48.558982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

전화번호
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing27
Missing (%)81.8%
Memory size396.0 B
2024-04-30T04:26:48.676928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.3333333
Min length8

Characters and Unicode

Total characters56
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

Unique6 ?
Unique (%)100.0%

Sample

1st row996-1301
2nd row990-7865
3rd row999-5945
4th row070-7664-1752
5th row900-4080
ValueCountFrequency (%)
996-1301 1
16.7%
990-7865 1
16.7%
999-5945 1
16.7%
070-7664-1752 1
16.7%
900-4080 1
16.7%
02-760-4151 1
16.7%
2024-04-30T04:26:48.904293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
17.9%
9 9
16.1%
- 8
14.3%
6 5
8.9%
1 5
8.9%
7 5
8.9%
5 5
8.9%
4 4
 
7.1%
8 2
 
3.6%
2 2
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48
85.7%
Dash Punctuation 8
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
20.8%
9 9
18.8%
6 5
10.4%
1 5
10.4%
7 5
10.4%
5 5
10.4%
4 4
 
8.3%
8 2
 
4.2%
2 2
 
4.2%
3 1
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
17.9%
9 9
16.1%
- 8
14.3%
6 5
8.9%
1 5
8.9%
7 5
8.9%
5 5
8.9%
4 4
 
7.1%
8 2
 
3.6%
2 2
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
17.9%
9 9
16.1%
- 8
14.3%
6 5
8.9%
1 5
8.9%
7 5
8.9%
5 5
8.9%
4 4
 
7.1%
8 2
 
3.6%
2 2
 
3.6%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
30 
132863
 
1
132890
 
1
132920
 
1

Length

Max length6
Median length4
Mean length4.1818182
Min length4

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st row132863
2nd row<NA>
3rd row132890
4th row<NA>
5th row132920

Common Values

ValueCountFrequency (%)
<NA> 30
90.9%
132863 1
 
3.0%
132890 1
 
3.0%
132920 1
 
3.0%

Length

2024-04-30T04:26:49.019320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:49.115903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
90.9%
132863 1
 
3.0%
132890 1
 
3.0%
132920 1
 
3.0%

지번주소
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-30T04:26:49.260300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length26.787879
Min length18

Characters and Unicode

Total characters884
Distinct characters70
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)93.9%

Sample

1st row서울특별시 도봉구 쌍문동 **-**번지 범하빌라트 B-B**호
2nd row서울특별시 도봉구 쌍문동 ***-*번지 금호A *-***호
3rd row서울특별시 도봉구 쌍문동 ***-*번지 ***호
4th row서울특별시 도봉구 창동 ***-**번지 중흥에스클래스 ***호
5th row서울특별시 도봉구 창동 ***-**번지 ***호
ValueCountFrequency (%)
서울특별시 33
20.0%
도봉구 33
20.0%
번지 18
10.9%
15
9.1%
창동 12
 
7.3%
쌍문동 11
 
6.7%
호 8
 
4.8%
방학동 6
 
3.6%
도봉동 4
 
2.4%
동 4
 
2.4%
Other values (17) 21
12.7%
2024-04-30T04:26:49.516915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 179
20.2%
153
17.3%
동 40
 
4.5%
도 40
 
4.5%
봉 40
 
4.5%
시 34
 
3.8%
구 33
 
3.7%
울 33
 
3.7%
서 33
 
3.7%
별 33
 
3.7%
Other values (60) 266
30.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 524
59.3%
Other Punctuation 179
 
20.2%
Space Separator 153
 
17.3%
Dash Punctuation 25
 
2.8%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
 
7.6%
도 40
 
7.6%
봉 40
 
7.6%
시 34
 
6.5%
구 33
 
6.3%
울 33
 
6.3%
서 33
 
6.3%
별 33
 
6.3%
특 33
 
6.3%
지 20
 
3.8%
Other values (55) 185
35.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Other Punctuation
ValueCountFrequency (%)
* 179
100.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 524
59.3%
Common 357
40.4%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
 
7.6%
도 40
 
7.6%
봉 40
 
7.6%
시 34
 
6.5%
구 33
 
6.3%
울 33
 
6.3%
서 33
 
6.3%
별 33
 
6.3%
특 33
 
6.3%
지 20
 
3.8%
Other values (55) 185
35.3%
Common
ValueCountFrequency (%)
* 179
50.1%
153
42.9%
- 25
 
7.0%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 524
59.3%
ASCII 360
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 179
49.7%
153
42.5%
- 25
 
6.9%
B 2
 
0.6%
A 1
 
0.3%
Hangul
ValueCountFrequency (%)
동 40
 
7.6%
도 40
 
7.6%
봉 40
 
7.6%
시 34
 
6.5%
구 33
 
6.3%
울 33
 
6.3%
서 33
 
6.3%
별 33
 
6.3%
특 33
 
6.3%
지 20
 
3.8%
Other values (55) 185
35.3%

도로명주소
Text

MISSING 

Distinct31
Distinct (%)96.9%
Missing1
Missing (%)3.0%
Memory size396.0 B
2024-04-30T04:26:49.704254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length45.5
Mean length40.1875
Min length30

Characters and Unicode

Total characters1286
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

Unique30 ?
Unique (%)93.8%

Sample

1st row서울특별시 도봉구 해등로**길 ** (쌍문동,범하빌라트 B-B**호)
2nd row서울특별시 도봉구 삼양로***가길 ** (쌍문동,***호)
3rd row서울특별시 도봉구 노해로**길 ** (창동,중흥에스클래스 ***호)
4th row서울특별시 도봉구 도봉로***길 ** (창동,***호)
5th row서울특별시 도봉구 덕릉로**길 **, ****동 ****호 (창동)
ValueCountFrequency (%)
서울특별시 32
14.0%
도봉구 32
14.0%
32
14.0%
호 26
11.4%
동 12
 
5.3%
창동 11
 
4.8%
쌍문동 8
 
3.5%
노해로**길 7
 
3.1%
방학동 6
 
2.6%
도봉로***길 4
 
1.8%
Other values (42) 58
25.4%
2024-04-30T04:26:50.009995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 287
22.3%
200
15.6%
동 51
 
4.0%
, 49
 
3.8%
봉 47
 
3.7%
도 45
 
3.5%
시 35
 
2.7%
로 32
 
2.5%
) 32
 
2.5%
울 32
 
2.5%
Other values (84) 476
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 675
52.5%
Other Punctuation 336
26.1%
Space Separator 200
 
15.6%
Close Punctuation 32
 
2.5%
Open Punctuation 32
 
2.5%
Dash Punctuation 9
 
0.7%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 51
 
7.6%
봉 47
 
7.0%
도 45
 
6.7%
시 35
 
5.2%
로 32
 
4.7%
울 32
 
4.7%
서 32
 
4.7%
구 32
 
4.7%
별 32
 
4.7%
특 32
 
4.7%
Other values (77) 305
45.2%
Other Punctuation
ValueCountFrequency (%)
* 287
85.4%
, 49
 
14.6%
Space Separator
ValueCountFrequency (%)
200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 675
52.5%
Common 609
47.4%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 51
 
7.6%
봉 47
 
7.0%
도 45
 
6.7%
시 35
 
5.2%
로 32
 
4.7%
울 32
 
4.7%
서 32
 
4.7%
구 32
 
4.7%
별 32
 
4.7%
특 32
 
4.7%
Other values (77) 305
45.2%
Common
ValueCountFrequency (%)
* 287
47.1%
200
32.8%
, 49
 
8.0%
) 32
 
5.3%
( 32
 
5.3%
- 9
 
1.5%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 675
52.5%
ASCII 611
47.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 287
47.0%
200
32.7%
, 49
 
8.0%
) 32
 
5.2%
( 32
 
5.2%
- 9
 
1.5%
B 2
 
0.3%
Hangul
ValueCountFrequency (%)
동 51
 
7.6%
봉 47
 
7.0%
도 45
 
6.7%
시 35
 
5.2%
로 32
 
4.7%
울 32
 
4.7%
서 32
 
4.7%
구 32
 
4.7%
별 32
 
4.7%
특 32
 
4.7%
Other values (77) 305
45.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)77.8%
Missing6
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean1391.2222
Minimum1314
Maximum1488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:26:50.107244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1314
5-th percentile1315.9
Q11334.5
median1400
Q31439
95-th percentile1460.8
Maximum1488
Range174
Interquartile range (IQR)104.5

Descriptive statistics

Standard deviation53.340224
Coefficient of variation (CV)0.038340549
Kurtosis-1.2071414
Mean1391.2222
Median Absolute Deviation (MAD)39
Skewness-0.165992
Sum37563
Variance2845.1795
MonotonicityNot monotonic
2024-04-30T04:26:50.206090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1439 3
 
9.1%
1318 3
 
9.1%
1400 2
 
6.1%
1411 2
 
6.1%
1451 1
 
3.0%
1397 1
 
3.0%
1314 1
 
3.0%
1488 1
 
3.0%
1322 1
 
3.0%
1332 1
 
3.0%
Other values (11) 11
33.3%
(Missing) 6
18.2%
ValueCountFrequency (%)
1314 1
 
3.0%
1315 1
 
3.0%
1318 3
9.1%
1322 1
 
3.0%
1332 1
 
3.0%
1337 1
 
3.0%
1361 1
 
3.0%
1372 1
 
3.0%
1390 1
 
3.0%
1394 1
 
3.0%
ValueCountFrequency (%)
1488 1
 
3.0%
1465 1
 
3.0%
1451 1
 
3.0%
1444 1
 
3.0%
1442 1
 
3.0%
1439 3
9.1%
1424 1
 
3.0%
1422 1
 
3.0%
1411 2
6.1%
1400 2
6.1%

사업장명
Text

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2024-04-30T04:26:50.401041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length12
Mean length7.8181818
Min length2

Characters and Unicode

Total characters258
Distinct characters122
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

Unique31 ?
Unique (%)93.9%

Sample

1st row가디안필름
2nd row필름메이커즈
3rd row파인비전
4th row(주)위키픽쳐스
5th row영화사 M16
ValueCountFrequency (%)
주식회사 4
 
8.2%
주)황기성사단 2
 
4.1%
영화사 2
 
4.1%
주 2
 
4.1%
픽쳐스 2
 
4.1%
와이씨네 1
 
2.0%
미드나잇쿠키필름 1
 
2.0%
잠 1
 
2.0%
토킹픽처스 1
 
2.0%
이수정보(주 1
 
2.0%
Other values (32) 32
65.3%
2024-04-30T04:26:50.689136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
 
6.2%
주 10
 
3.9%
사 9
 
3.5%
이 8
 
3.1%
( 7
 
2.7%
) 7
 
2.7%
스 7
 
2.7%
필 7
 
2.7%
름 7
 
2.7%
비 6
 
2.3%
Other values (112) 174
67.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 201
77.9%
Space Separator 16
 
6.2%
Lowercase Letter 15
 
5.8%
Open Punctuation 7
 
2.7%
Close Punctuation 7
 
2.7%
Uppercase Letter 6
 
2.3%
Decimal Number 5
 
1.9%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 10
 
5.0%
사 9
 
4.5%
이 8
 
4.0%
스 7
 
3.5%
필 7
 
3.5%
름 7
 
3.5%
비 6
 
3.0%
픽 5
 
2.5%
시 5
 
2.5%
화 4
 
2.0%
Other values (89) 133
66.2%
Lowercase Letter
ValueCountFrequency (%)
o 3
20.0%
t 2
13.3%
n 2
13.3%
a 1
 
6.7%
i 1
 
6.7%
u 1
 
6.7%
c 1
 
6.7%
k 1
 
6.7%
r 1
 
6.7%
d 1
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
M 2
33.3%
P 1
16.7%
C 1
16.7%
I 1
16.7%
N 1
16.7%
Decimal Number
ValueCountFrequency (%)
5 3
60.0%
6 1
 
20.0%
1 1
 
20.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 201
77.9%
Common 36
 
14.0%
Latin 21
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 10
 
5.0%
사 9
 
4.5%
이 8
 
4.0%
스 7
 
3.5%
필 7
 
3.5%
름 7
 
3.5%
비 6
 
3.0%
픽 5
 
2.5%
시 5
 
2.5%
화 4
 
2.0%
Other values (89) 133
66.2%
Latin
ValueCountFrequency (%)
o 3
14.3%
t 2
 
9.5%
M 2
 
9.5%
n 2
 
9.5%
a 1
 
4.8%
i 1
 
4.8%
u 1
 
4.8%
c 1
 
4.8%
P 1
 
4.8%
k 1
 
4.8%
Other values (6) 6
28.6%
Common
ValueCountFrequency (%)
16
44.4%
( 7
19.4%
) 7
19.4%
5 3
 
8.3%
6 1
 
2.8%
1 1
 
2.8%
& 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 201
77.9%
ASCII 57
 
22.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
28.1%
( 7
12.3%
) 7
12.3%
o 3
 
5.3%
5 3
 
5.3%
t 2
 
3.5%
M 2
 
3.5%
n 2
 
3.5%
a 1
 
1.8%
i 1
 
1.8%
Other values (13) 13
22.8%
Hangul
ValueCountFrequency (%)
주 10
 
5.0%
사 9
 
4.5%
이 8
 
4.0%
스 7
 
3.5%
필 7
 
3.5%
름 7
 
3.5%
비 6
 
3.0%
픽 5
 
2.5%
시 5
 
2.5%
화 4
 
2.0%
Other values (89) 133
66.2%

최종수정일자
Date

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2010-05-03 14:38:36
Maximum2024-03-14 17:57:48
2024-04-30T04:26:50.802174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:26:50.896607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
I
23 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 23
69.7%
U 10
30.3%

Length

2024-04-30T04:26:50.993779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:51.067258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 23
69.7%
u 10
30.3%

데이터갱신일자
Date

Distinct20
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:06:00
2024-04-30T04:26:51.141668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:26:51.251338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

좌표정보(X)
Real number (ℝ)

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203338.01
Minimum201227.84
Maximum204641.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:26:51.347538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201227.84
5-th percentile201750.21
Q1202796.15
median203368.96
Q3204151.71
95-th percentile204201.43
Maximum204641.87
Range3414.0335
Interquartile range (IQR)1355.5601

Descriptive statistics

Standard deviation863.99547
Coefficient of variation (CV)0.0042490604
Kurtosis-0.019763178
Mean203338.01
Median Absolute Deviation (MAD)728.03978
Skewness-0.71511342
Sum6710154.2
Variance746488.18
MonotonicityNot monotonic
2024-04-30T04:26:51.614395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
204169.847670316 3
 
9.1%
204192.915094501 2
 
6.1%
203171.051860012 1
 
3.0%
204214.210632572 1
 
3.0%
203707.388073795 1
 
3.0%
202878.108330301 1
 
3.0%
204151.714134247 1
 
3.0%
204097.000905892 1
 
3.0%
203877.316994433 1
 
3.0%
202678.147200989 1
 
3.0%
Other values (20) 20
60.6%
ValueCountFrequency (%)
201227.838761836 1
3.0%
201366.987259452 1
3.0%
202005.697295149 1
3.0%
202255.900516115 1
3.0%
202625.064924147 1
3.0%
202639.363725285 1
3.0%
202655.192375441 1
3.0%
202678.147200989 1
3.0%
202796.154027782 1
3.0%
202878.108330301 1
3.0%
ValueCountFrequency (%)
204641.872260793 1
 
3.0%
204214.210632572 1
 
3.0%
204192.915094501 2
6.1%
204178.603486457 1
 
3.0%
204169.847670316 3
9.1%
204151.714134247 1
 
3.0%
204119.357063701 1
 
3.0%
204097.000905892 1
 
3.0%
203953.784065108 1
 
3.0%
203922.957045763 1
 
3.0%

좌표정보(Y)
Real number (ℝ)

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461744.15
Minimum460001.08
Maximum464814.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:26:51.718830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum460001.08
5-th percentile460210.25
Q1460746.55
median461504.97
Q3462168.44
95-th percentile464814.72
Maximum464814.72
Range4813.6363
Interquartile range (IQR)1421.8869

Descriptive statistics

Standard deviation1336.8441
Coefficient of variation (CV)0.0028952052
Kurtosis0.55906567
Mean461744.15
Median Absolute Deviation (MAD)758.41412
Skewness1.0558013
Sum15237557
Variance1787152.1
MonotonicityNot monotonic
2024-04-30T04:26:51.828836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
464814.717432497 3
 
9.1%
461653.03000502 2
 
6.1%
461214.067959903 1
 
3.0%
460746.553675666 1
 
3.0%
462147.359416343 1
 
3.0%
462995.290596445 1
 
3.0%
460213.421434136 1
 
3.0%
463803.247771142 1
 
3.0%
462960.615197443 1
 
3.0%
461047.195491523 1
 
3.0%
Other values (20) 20
60.6%
ValueCountFrequency (%)
460001.081136921 1
3.0%
460205.497134556 1
3.0%
460213.421434136 1
3.0%
460331.581086126 1
3.0%
460373.34025965 1
3.0%
460410.026082884 1
3.0%
460631.043856993 1
3.0%
460716.4405375 1
3.0%
460746.553675666 1
3.0%
460893.812605004 1
3.0%
ValueCountFrequency (%)
464814.717432497 3
9.1%
463803.247771142 1
 
3.0%
462995.290596445 1
 
3.0%
462960.615197443 1
 
3.0%
462864.24951935 1
 
3.0%
462521.720396049 1
 
3.0%
462168.440616166 1
 
3.0%
462147.359416343 1
 
3.0%
461858.382174119 1
 
3.0%
461853.677907351 1
 
3.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
영화제작업
23 
<NA>
10 

Length

Max length5
Median length5
Mean length4.6969697
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 23
69.7%
<NA> 10
30.3%

Length

2024-04-30T04:26:51.944911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:52.048379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 23
69.7%
na 10
30.3%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
0
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
0 1
 
3.0%

Length

2024-04-30T04:26:52.146744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:52.246820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
0 1
 
3.0%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
0
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
0 1
 
3.0%

Length

2024-04-30T04:26:52.338921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:52.419684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
0 1
 
3.0%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
0
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
0 1
 
3.0%

Length

2024-04-30T04:26:52.511091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:52.609625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
0 1
 
3.0%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
0
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
0 1
 
3.0%

Length

2024-04-30T04:26:52.711360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:52.805227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
0 1
 
3.0%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
0
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
0 1
 
3.0%

Length

2024-04-30T04:26:52.889088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:52.979234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
0 1
 
3.0%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
0
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
0 1
 
3.0%

Length

2024-04-30T04:26:53.092416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:53.193539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
0 1
 
3.0%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
0
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
0 1
 
3.0%

Length

2024-04-30T04:26:53.279439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:53.357938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
0 1
 
3.0%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
0
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
0 1
 
3.0%

Length

2024-04-30T04:26:53.443631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:53.523907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
0 1
 
3.0%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
32 
0
 
1

Length

Max length4
Median length4
Mean length3.9090909
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
97.0%
0 1
 
3.0%

Length

2024-04-30T04:26:53.610354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:26:53.695365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
97.0%
0 1
 
3.0%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)100.0%
Missing10
Missing (%)30.3%
Infinite0
Infinite (%)0.0%
Mean20148904
Minimum20010430
Maximum20220127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-04-30T04:26:53.774467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010430
5-th percentile20044410
Q120105814
median20170629
Q320195414
95-th percentile20209571
Maximum20220127
Range209697
Interquartile range (IQR)89600

Descriptive statistics

Standard deviation57748.401
Coefficient of variation (CV)0.0028660815
Kurtosis-0.015254213
Mean20148904
Median Absolute Deviation (MAD)30480
Skewness-0.90934804
Sum4.6342479 × 108
Variance3.3348778 × 109
MonotonicityNot monotonic
2024-04-30T04:26:53.886034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
20040419 1
 
3.0%
20220127 1
 
3.0%
20210511 1
 
3.0%
20201112 1
 
3.0%
20201109 1
 
3.0%
20200611 1
 
3.0%
20200305 1
 
3.0%
20190523 1
 
3.0%
20190502 1
 
3.0%
20180427 1
 
3.0%
Other values (13) 13
39.4%
(Missing) 10
30.3%
ValueCountFrequency (%)
20010430 1
3.0%
20040419 1
3.0%
20080328 1
3.0%
20090407 1
3.0%
20090827 1
3.0%
20091222 1
3.0%
20120406 1
3.0%
20120706 1
3.0%
20151117 1
3.0%
20151127 1
3.0%
ValueCountFrequency (%)
20220127 1
3.0%
20210511 1
3.0%
20201112 1
3.0%
20201109 1
3.0%
20200611 1
3.0%
20200305 1
3.0%
20190523 1
3.0%
20190502 1
3.0%
20180427 1
3.0%
20170714 1
3.0%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03090000CDFF521101200100000120010430<NA>1영업/정상13영업중<NA><NA><NA><NA>996-1301<NA>132863서울특별시 도봉구 쌍문동 **-**번지 범하빌라트 B-B**호서울특별시 도봉구 해등로**길 ** (쌍문동,범하빌라트 B-B**호)<NA>가디안필름2010-05-03 14:38:36I2018-08-31 23:59:59.0<NA>203171.05186461214.06796영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20010430<NA>
13090000CDFF521101200400000120040419<NA>1영업/정상13영업중<NA><NA><NA><NA>990-7865<NA><NA>서울특별시 도봉구 쌍문동 ***-*번지 금호A *-***호<NA><NA>필름메이커즈2010-05-03 14:55:51I2018-08-31 23:59:59.0<NA>202884.052777461853.677907영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20040419<NA>
23090000CDFF521101200800000120080328<NA>1영업/정상13영업중<NA><NA><NA><NA>999-5945<NA>132890서울특별시 도봉구 쌍문동 ***-*번지 ***호서울특별시 도봉구 삼양로***가길 ** (쌍문동,***호)<NA>파인비전2010-05-03 14:58:32I2018-08-31 23:59:59.0<NA>201227.838762461313.020132영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080328<NA>
33090000CDFF521101200900000120090827<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7664-1752<NA><NA>서울특별시 도봉구 창동 ***-**번지 중흥에스클래스 ***호서울특별시 도봉구 노해로**길 ** (창동,중흥에스클래스 ***호)<NA>(주)위키픽쳐스2010-05-03 15:20:32I2018-08-31 23:59:59.0<NA>203368.961128460631.043857영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090827<NA>
43090000CDFF521101200900000220090407<NA>1영업/정상13영업중<NA><NA><NA><NA>900-4080<NA>132920서울특별시 도봉구 창동 ***-**번지 ***호서울특별시 도봉구 도봉로***길 ** (창동,***호)<NA>영화사 M162010-05-03 15:24:24I2018-08-31 23:59:59.0<NA>203071.920063460331.581086영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090407<NA>
53090000CDFF521101201300000120120406<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 **번지 ****동 ****호서울특별시 도봉구 덕릉로**길 **, ****동 ****호 (창동)<NA>문전성시2013-10-22 09:35:13I2018-08-31 23:59:59.0<NA>204641.872261460205.497135영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120406<NA>
63090000CDFF521101201400000120120706<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 **-*번지 도봉한신아파트서울특별시 도봉구 마들로 ***-**, ***동 **층 ****호 (도봉동, 도봉한신아파트)1318(주) 비싸이드 픽쳐스2019-09-04 13:15:34U2019-09-06 02:40:00.0<NA>204169.84767464814.717432영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120706<NA>
73090000CDFF521101201500000120151127<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 **-*번지 도봉한신아파트 ***동 ****호서울특별시 도봉구 마들로 ***-**, ***동 ****호 (도봉동, 도봉한신아파트)1318(주) 버티고필름2015-11-27 16:56:09I2018-08-31 23:59:59.0<NA>204169.84767464814.717432영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20151127<NA>
83090000CDFF521101201700000120170522<NA>1영업/정상13영업중<NA><NA><NA><NA>02-760-4151<NA><NA>서울특별시 도봉구 쌍문동 ***번지서울특별시 도봉구 해등로 ***, ***층 ***호 (쌍문동, 신원주상복합*차아파트)1394한국문화크리에이티브연구소2017-05-22 17:08:47I2018-08-31 23:59:59.0<NA>203089.442774461770.488759영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20170522<NA>
93090000CDFF521101201700000220170629<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 **-**번지서울특별시 도봉구 노해로**길 **, ***호 (쌍문동, 영진아파트)1442더 빅 픽쳐스2017-06-29 19:01:33I2018-08-31 23:59:59.0<NA>203010.94536460893.812605영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20170629<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
233090000CDFF521101202100000220210511<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 ***-*** 남송빌라서울특별시 도봉구 노해로 ***-**, ***호 (쌍문동, 남송빌라)1439비오비필름2021-05-11 17:11:26I2021-05-13 00:22:56.0<NA>202639.363725461082.532158영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20210511<NA>
243090000CDFF52110120210000031985-08-19<NA>5제외/삭제/전출15전출2023-07-05<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 *** 동아청솔아파트서울특별시 도봉구 노해로**길 ***, ***동 ****호 (창동, 동아청솔아파트)1411(주)황기성사단2023-07-05 15:45:36U2022-12-07 00:07:00.0<NA>204192.915095461653.030005<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253090000CDFF521101202200000120220127<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 쌍문동 ***-*** 문화예술인마을*차서울특별시 도봉구 노해로**길 **, ***호 (쌍문동, 문화예술인마을*차)1439와이씨네2022-02-24 16:48:44U2022-02-26 02:40:00.0<NA>202678.147201461047.195492영화제작업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20220127<NA>
263090000CDFF52110120220000022022-06-13<NA>5제외/삭제/전출15전출2023-06-13<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 ***-* 북한산현대렉시온오피스텔서울특별시 도봉구 도봉로***길 **, 북한산현대렉시온오피스텔 ****호 (방학동)1332레드무비2023-06-13 09:21:10U2022-12-05 23:05:00.0<NA>203877.316994462960.615197<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273090000CDFF521101202300000120230109<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 ***-** 북부법조타운서울특별시 도봉구 도봉로***길 **-**, 북부법조타운 ***호 (도봉동)1322주식회사 제이비에이치2023-01-09 09:04:46I2022-11-30 23:01:00.0<NA>204097.000906463803.247771<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283090000CDFF521101202300000220230120<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 도봉동 **-* 도봉한신아파트서울특별시 도봉구 마들로 ***-**, ***동 ***호 (도봉동, 도봉한신아파트)1318주식회사 로에스미디어2023-01-20 14:28:16I2022-11-30 22:02:00.0<NA>204169.84767464814.717432<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293090000CDFF52110120230000032023-02-07<NA>5제외/삭제/전출15전출2024-03-14<NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 *** 주공*단지아파트 ***동 ****호서울특별시 도봉구 덕릉로 ***, ***동 ****호 (창동, 주공*단지아파트)1488알포2024-03-14 17:57:48U2023-12-02 23:06:00.0<NA>204151.714134460213.421434<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
303090000CDFF52110120230000042023-02-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 방학동 ***-**서울특별시 도봉구 시루봉로**라길 **, 에이호 (방학동)13145시55분2023-02-08 15:04:30I2022-12-01 23:00:00.0<NA>202878.10833462995.290596<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313090000CDFF52110120230000051985-08-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 *** 동아청솔아파트 ***동 ****호서울특별시 도봉구 노해로**길 ***, 동아청솔아파트 ***동 ****호 (창동, 동아청솔아파트)1411(주)황기성사단2023-08-21 09:37:54U2022-12-07 22:03:00.0<NA>204192.915095461653.030005<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323090000CDFF52110120230000062023-06-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 도봉구 창동 ***-*서울특별시 도봉구 도봉로 ***-*, ***호 (창동)1397목탄 프로덕션(Moktan Productions)2023-12-11 17:39:24U2022-11-01 23:03:00.0<NA>203707.388074462147.359416<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>