Overview

Dataset statistics

Number of variables56
Number of observations40
Missing cells1134
Missing cells (%)50.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.3 KiB
Average record size in memory494.3 B

Variable types

Categorical17
Text6
DateTime3
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
Author강북구
URLhttps://data.seoul.go.kr/dataList/OA-17735/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (65.3%)Imbalance
총층수 is highly imbalanced (83.1%)Imbalance
시설면적 is highly imbalanced (83.1%)Imbalance
지상층수 is highly imbalanced (83.1%)Imbalance
지하층수 is highly imbalanced (83.1%)Imbalance
통로너비 is highly imbalanced (83.1%)Imbalance
조명시설조도 is highly imbalanced (83.1%)Imbalance
노래방실수 is highly imbalanced (83.1%)Imbalance
청소년실수 is highly imbalanced (83.1%)Imbalance
총게임기수 is highly imbalanced (83.1%)Imbalance
인허가취소일자 has 40 (100.0%) missing valuesMissing
폐업일자 has 33 (82.5%) missing valuesMissing
휴업시작일자 has 40 (100.0%) missing valuesMissing
휴업종료일자 has 40 (100.0%) missing valuesMissing
재개업일자 has 40 (100.0%) missing valuesMissing
전화번호 has 37 (92.5%) missing valuesMissing
소재지면적 has 40 (100.0%) missing valuesMissing
도로명주소 has 1 (2.5%) missing valuesMissing
도로명우편번호 has 8 (20.0%) missing valuesMissing
업태구분명 has 40 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.5%) missing valuesMissing
좌표정보(Y) has 1 (2.5%) missing valuesMissing
문화사업자구분명 has 40 (100.0%) missing valuesMissing
주변환경명 has 40 (100.0%) missing valuesMissing
제작취급품목내용 has 40 (100.0%) missing valuesMissing
건물용도명 has 40 (100.0%) missing valuesMissing
비상계단여부 has 40 (100.0%) missing valuesMissing
비상구여부 has 40 (100.0%) missing valuesMissing
자동환기여부 has 40 (100.0%) missing valuesMissing
청소년실여부 has 40 (100.0%) missing valuesMissing
특수조명여부 has 40 (100.0%) missing valuesMissing
방음시설여부 has 40 (100.0%) missing valuesMissing
비디오재생기명 has 40 (100.0%) missing valuesMissing
조명시설유무 has 40 (100.0%) missing valuesMissing
음향시설여부 has 40 (100.0%) missing valuesMissing
편의시설여부 has 40 (100.0%) missing valuesMissing
소방시설여부 has 40 (100.0%) missing valuesMissing
기존게임업외업종명 has 40 (100.0%) missing valuesMissing
제공게임물명 has 40 (100.0%) missing valuesMissing
공연장형태구분명 has 40 (100.0%) missing valuesMissing
품목명 has 40 (100.0%) missing valuesMissing
최초등록시점 has 13 (32.5%) missing valuesMissing
지역구분명 has 40 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 started2024-04-06 10:49:56.663731
Analysis finished2024-04-06 10:49:57.585640
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
3080000
40 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3080000
2nd row3080000
3rd row3080000
4th row3080000
5th row3080000

Common Values

ValueCountFrequency (%)
3080000 40
100.0%

Length

2024-04-06T19:49:57.700673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:49:57.971922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3080000 40
100.0%

관리번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-06T19:49:58.313872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters800
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

Unique40 ?
Unique (%)100.0%

Sample

1st rowCDFF5211012001000001
2nd rowCDFF5211012005000001
3rd rowCDFF5211012007000001
4th rowCDFF5211012007000002
5th rowCDFF5211012008000001
ValueCountFrequency (%)
cdff5211012001000001 1
 
2.5%
cdff5211012005000001 1
 
2.5%
cdff5211012022000003 1
 
2.5%
cdff5211012019000001 1
 
2.5%
cdff5211012019000002 1
 
2.5%
cdff5211012019000003 1
 
2.5%
cdff5211012020000001 1
 
2.5%
cdff5211012021000001 1
 
2.5%
cdff5211012022000001 1
 
2.5%
cdff5211012022000002 1
 
2.5%
Other values (30) 30
75.0%
2024-04-06T19:49:58.878097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 290
36.2%
1 153
19.1%
2 115
 
14.4%
F 80
 
10.0%
5 45
 
5.6%
C 40
 
5.0%
D 40
 
5.0%
3 12
 
1.5%
7 7
 
0.9%
4 7
 
0.9%
Other values (3) 11
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
80.0%
Uppercase Letter 160
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 290
45.3%
1 153
23.9%
2 115
 
18.0%
5 45
 
7.0%
3 12
 
1.9%
7 7
 
1.1%
4 7
 
1.1%
9 6
 
0.9%
8 3
 
0.5%
6 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 80
50.0%
C 40
25.0%
D 40
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 640
80.0%
Latin 160
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 290
45.3%
1 153
23.9%
2 115
 
18.0%
5 45
 
7.0%
3 12
 
1.9%
7 7
 
1.1%
4 7
 
1.1%
9 6
 
0.9%
8 3
 
0.5%
6 2
 
0.3%
Latin
ValueCountFrequency (%)
F 80
50.0%
C 40
25.0%
D 40
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 290
36.2%
1 153
19.1%
2 115
 
14.4%
F 80
 
10.0%
5 45
 
5.6%
C 40
 
5.0%
D 40
 
5.0%
3 12
 
1.5%
7 7
 
0.9%
4 7
 
0.9%
Other values (3) 11
 
1.4%

인허가일자
Date

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2001-02-09 00:00:00
Maximum2024-02-27 00:00:00
2024-04-06T19:49:59.121940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:49:59.353930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
1
32 
3
6 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 32
80.0%
3 6
 
15.0%
5 2
 
5.0%

Length

2024-04-06T19:49:59.573396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:49:59.729017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 32
80.0%
3 6
 
15.0%
5 2
 
5.0%

영업상태명
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
영업/정상
32 
폐업
6 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.7
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 32
80.0%
폐업 6
 
15.0%
제외/삭제/전출 2
 
5.0%

Length

2024-04-06T19:49:59.944298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:00.128309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 32
80.0%
폐업 6
 
15.0%
제외/삭제/전출 2
 
5.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
13
32 
3
6 
15
 
2

Length

Max length2
Median length2
Mean length1.85
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 32
80.0%
3 6
 
15.0%
15 2
 
5.0%

Length

2024-04-06T19:50:00.311899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:00.479797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 32
80.0%
3 6
 
15.0%
15 2
 
5.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
영업중
32 
폐업
6 
전출
 
2

Length

Max length3
Median length3
Mean length2.8
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 32
80.0%
폐업 6
 
15.0%
전출 2
 
5.0%

Length

2024-04-06T19:50:00.674117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:00.844560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 32
80.0%
폐업 6
 
15.0%
전출 2
 
5.0%

폐업일자
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing33
Missing (%)82.5%
Memory size452.0 B
2024-04-06T19:50:01.060468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.8571429
Min length8

Characters and Unicode

Total characters62
Distinct characters9
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

Unique7 ?
Unique (%)100.0%

Sample

1st row20170227
2nd row20191231
3rd row20150109
4th row99991231
5th row2023-01-31
ValueCountFrequency (%)
20170227 1
14.3%
20191231 1
14.3%
20150109 1
14.3%
99991231 1
14.3%
2023-01-31 1
14.3%
2024-02-27 1
14.3%
2024-01-30 1
14.3%
2024-04-06T19:50:01.620534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 15
24.2%
0 13
21.0%
1 11
17.7%
9 6
 
9.7%
- 6
 
9.7%
3 5
 
8.1%
7 3
 
4.8%
4 2
 
3.2%
5 1
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 56
90.3%
Dash Punctuation 6
 
9.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 15
26.8%
0 13
23.2%
1 11
19.6%
9 6
 
10.7%
3 5
 
8.9%
7 3
 
5.4%
4 2
 
3.6%
5 1
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 62
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 15
24.2%
0 13
21.0%
1 11
17.7%
9 6
 
9.7%
- 6
 
9.7%
3 5
 
8.1%
7 3
 
4.8%
4 2
 
3.2%
5 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 62
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 15
24.2%
0 13
21.0%
1 11
17.7%
9 6
 
9.7%
- 6
 
9.7%
3 5
 
8.1%
7 3
 
4.8%
4 2
 
3.2%
5 1
 
1.6%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

전화번호
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing37
Missing (%)92.5%
Memory size452.0 B
2024-04-06T19:50:01.888474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters33
Distinct characters10
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

Unique3 ?
Unique (%)100.0%

Sample

1st row02-556-6302
2nd row02-986-1361
3rd row02-946-1826
ValueCountFrequency (%)
02-556-6302 1
33.3%
02-986-1361 1
33.3%
02-946-1826 1
33.3%
2024-04-06T19:50:02.329487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6
18.2%
6 6
18.2%
2 5
15.2%
0 4
12.1%
1 3
9.1%
5 2
 
6.1%
3 2
 
6.1%
9 2
 
6.1%
8 2
 
6.1%
4 1
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27
81.8%
Dash Punctuation 6
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 6
22.2%
2 5
18.5%
0 4
14.8%
1 3
11.1%
5 2
 
7.4%
3 2
 
7.4%
9 2
 
7.4%
8 2
 
7.4%
4 1
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6
18.2%
6 6
18.2%
2 5
15.2%
0 4
12.1%
1 3
9.1%
5 2
 
6.1%
3 2
 
6.1%
9 2
 
6.1%
8 2
 
6.1%
4 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6
18.2%
6 6
18.2%
2 5
15.2%
0 4
12.1%
1 3
9.1%
5 2
 
6.1%
3 2
 
6.1%
9 2
 
6.1%
8 2
 
6.1%
4 1
 
3.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
36 
142077
 
3
142878
 
1

Length

Max length6
Median length4
Mean length4.2
Min length4

Unique

Unique1 ?
Unique (%)2.5%

Sample

1st row<NA>
2nd row142077
3rd row142077
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
90.0%
142077 3
 
7.5%
142878 1
 
2.5%

Length

2024-04-06T19:50:02.556359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:02.742622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
90.0%
142077 3
 
7.5%
142878 1
 
2.5%

지번주소
Text

Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-06T19:50:03.023848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length26.325
Min length19

Characters and Unicode

Total characters1053
Distinct characters74
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

Unique33 ?
Unique (%)82.5%

Sample

1st row서울특별시 강북구 미아동 ***-*번지 신일빌딩 ***호
2nd row서울특별시 강북구 수유동 ***-*번지 ***호
3rd row서울특별시 강북구 수유동 ***-**번지
4th row서울특별시 강북구 미아동 ***-***번지
5th row서울특별시 강북구 수유동 ***번지 진주주택나동 B**호
ValueCountFrequency (%)
서울특별시 40
20.0%
강북구 40
20.0%
번지 26
13.0%
수유동 18
9.0%
미아동 16
 
8.0%
13
 
6.5%
호 12
 
6.0%
번동 4
 
2.0%
동 3
 
1.5%
상아빌딩 2
 
1.0%
Other values (23) 26
13.0%
2024-04-06T19:50:03.600573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 220
20.9%
178
16.9%
동 45
 
4.3%
북 41
 
3.9%
울 40
 
3.8%
구 40
 
3.8%
서 40
 
3.8%
강 40
 
3.8%
별 40
 
3.8%
시 40
 
3.8%
Other values (64) 329
31.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 614
58.3%
Other Punctuation 220
 
20.9%
Space Separator 178
 
16.9%
Dash Punctuation 33
 
3.1%
Decimal Number 7
 
0.7%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 45
 
7.3%
북 41
 
6.7%
울 40
 
6.5%
구 40
 
6.5%
서 40
 
6.5%
강 40
 
6.5%
별 40
 
6.5%
시 40
 
6.5%
특 40
 
6.5%
번 30
 
4.9%
Other values (55) 218
35.5%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 1
 
14.3%
7 1
 
14.3%
9 1
 
14.3%
8 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
* 220
100.0%
Space Separator
ValueCountFrequency (%)
178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 614
58.3%
Common 438
41.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 45
 
7.3%
북 41
 
6.7%
울 40
 
6.5%
구 40
 
6.5%
서 40
 
6.5%
강 40
 
6.5%
별 40
 
6.5%
시 40
 
6.5%
특 40
 
6.5%
번 30
 
4.9%
Other values (55) 218
35.5%
Common
ValueCountFrequency (%)
* 220
50.2%
178
40.6%
- 33
 
7.5%
1 3
 
0.7%
2 1
 
0.2%
7 1
 
0.2%
9 1
 
0.2%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 614
58.3%
ASCII 439
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 220
50.1%
178
40.5%
- 33
 
7.5%
1 3
 
0.7%
2 1
 
0.2%
7 1
 
0.2%
9 1
 
0.2%
8 1
 
0.2%
B 1
 
0.2%
Hangul
ValueCountFrequency (%)
동 45
 
7.3%
북 41
 
6.7%
울 40
 
6.5%
구 40
 
6.5%
서 40
 
6.5%
강 40
 
6.5%
별 40
 
6.5%
시 40
 
6.5%
특 40
 
6.5%
번 30
 
4.9%
Other values (55) 218
35.5%

도로명주소
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing1
Missing (%)2.5%
Memory size452.0 B
2024-04-06T19:50:03.990906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length37
Mean length35
Min length24

Characters and Unicode

Total characters1365
Distinct characters95
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

Unique39 ?
Unique (%)100.0%

Sample

1st row서울특별시 강북구 도봉로 ***, ***호 (미아동,신일빌딩)
2nd row서울특별시 강북구 삼양로***길 *, ***호 (수유동)
3rd row서울특별시 강북구 인수봉로**다길 **-* (수유동)
4th row서울특별시 강북구 삼양로**길 *-** (미아동)
5th row서울특별시 강북구 노해로**길 *-**, ***호 (수유동,북한산그랑빌)
ValueCountFrequency (%)
서울특별시 39
15.2%
강북구 39
15.2%
38
14.8%
호 22
 
8.6%
미아동 16
 
6.2%
수유동 14
 
5.4%
층 10
 
3.9%
삼양로**길 7
 
2.7%
동 6
 
2.3%
도봉로 4
 
1.6%
Other values (52) 62
24.1%
2024-04-06T19:50:04.634572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 249
18.2%
223
 
16.3%
동 49
 
3.6%
, 46
 
3.4%
로 40
 
2.9%
북 40
 
2.9%
울 39
 
2.9%
) 39
 
2.9%
( 39
 
2.9%
서 39
 
2.9%
Other values (85) 562
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 748
54.8%
Other Punctuation 297
 
21.8%
Space Separator 223
 
16.3%
Close Punctuation 39
 
2.9%
Open Punctuation 39
 
2.9%
Dash Punctuation 13
 
1.0%
Decimal Number 5
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 49
 
6.6%
로 40
 
5.3%
북 40
 
5.3%
울 39
 
5.2%
서 39
 
5.2%
별 39
 
5.2%
구 39
 
5.2%
강 39
 
5.2%
시 39
 
5.2%
특 39
 
5.2%
Other values (73) 346
46.3%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
2 1
20.0%
6 1
20.0%
4 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 249
83.8%
, 46
 
15.5%
. 2
 
0.7%
Space Separator
ValueCountFrequency (%)
223
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 748
54.8%
Common 616
45.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 49
 
6.6%
로 40
 
5.3%
북 40
 
5.3%
울 39
 
5.2%
서 39
 
5.2%
별 39
 
5.2%
구 39
 
5.2%
강 39
 
5.2%
시 39
 
5.2%
특 39
 
5.2%
Other values (73) 346
46.3%
Common
ValueCountFrequency (%)
* 249
40.4%
223
36.2%
, 46
 
7.5%
) 39
 
6.3%
( 39
 
6.3%
- 13
 
2.1%
. 2
 
0.3%
3 2
 
0.3%
2 1
 
0.2%
6 1
 
0.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 748
54.8%
ASCII 617
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 249
40.4%
223
36.1%
, 46
 
7.5%
) 39
 
6.3%
( 39
 
6.3%
- 13
 
2.1%
. 2
 
0.3%
3 2
 
0.3%
2 1
 
0.2%
6 1
 
0.2%
Other values (2) 2
 
0.3%
Hangul
ValueCountFrequency (%)
동 49
 
6.6%
로 40
 
5.3%
북 40
 
5.3%
울 39
 
5.2%
서 39
 
5.2%
별 39
 
5.2%
구 39
 
5.2%
강 39
 
5.2%
시 39
 
5.2%
특 39
 
5.2%
Other values (73) 346
46.3%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)87.5%
Missing8
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean27621.719
Minimum1004
Maximum142875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-06T19:50:04.843822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004
5-th percentile1010.95
Q11062
median1170
Q31219
95-th percentile142797.2
Maximum142875
Range141871
Interquartile range (IQR)157

Descriptive statistics

Standard deviation56048.22
Coefficient of variation (CV)2.0291358
Kurtosis0.87727541
Mean27621.719
Median Absolute Deviation (MAD)71.5
Skewness1.6811616
Sum883895
Variance3.1414029 × 109
MonotonicityNot monotonic
2024-04-06T19:50:05.043118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1184 2
 
5.0%
1219 2
 
5.0%
1170 2
 
5.0%
142100 2
 
5.0%
1101 1
 
2.5%
1006 1
 
2.5%
1201 1
 
2.5%
1004 1
 
2.5%
1015 1
 
2.5%
1051 1
 
2.5%
Other values (18) 18
45.0%
(Missing) 8
20.0%
ValueCountFrequency (%)
1004 1
2.5%
1006 1
2.5%
1015 1
2.5%
1019 1
2.5%
1027 1
2.5%
1051 1
2.5%
1054 1
2.5%
1056 1
2.5%
1064 1
2.5%
1096 1
2.5%
ValueCountFrequency (%)
142875 1
2.5%
142817 1
2.5%
142781 1
2.5%
142100 2
5.0%
142071 1
2.5%
1223 1
2.5%
1219 2
5.0%
1201 1
2.5%
1198 1
2.5%
1197 1
2.5%

사업장명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-06T19:50:05.407853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10.5
Mean length7.475
Min length3

Characters and Unicode

Total characters299
Distinct characters126
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

Unique40 ?
Unique (%)100.0%

Sample

1st row(주)햇빛영화사
2nd row다큐아이
3rd row노른자픽쳐스
4th row월원영화사
5th row김씨네아트기획
ValueCountFrequency (%)
영화사 4
 
6.9%
필름 2
 
3.4%
주식회사 2
 
3.4%
픽쳐스 2
 
3.4%
주)햇빛영화사 1
 
1.7%
아베스타 1
 
1.7%
간다 1
 
1.7%
프린스 1
 
1.7%
투아이드필름 1
 
1.7%
제이제이픽쳐스 1
 
1.7%
Other values (42) 42
72.4%
2024-04-06T19:50:06.027754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
6.0%
스 12
 
4.0%
( 11
 
3.7%
) 11
 
3.7%
주 11
 
3.7%
사 10
 
3.3%
이 10
 
3.3%
필 9
 
3.0%
름 9
 
3.0%
화 7
 
2.3%
Other values (116) 191
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 249
83.3%
Space Separator 18
 
6.0%
Open Punctuation 11
 
3.7%
Close Punctuation 11
 
3.7%
Uppercase Letter 7
 
2.3%
Decimal Number 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 12
 
4.8%
주 11
 
4.4%
사 10
 
4.0%
이 10
 
4.0%
필 9
 
3.6%
름 9
 
3.6%
화 7
 
2.8%
영 7
 
2.8%
쳐 7
 
2.8%
아 6
 
2.4%
Other values (105) 161
64.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
28.6%
D 1
14.3%
C 1
14.3%
F 1
14.3%
I 1
14.3%
M 1
14.3%
Decimal Number
ValueCountFrequency (%)
9 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 249
83.3%
Common 43
 
14.4%
Latin 7
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 12
 
4.8%
주 11
 
4.4%
사 10
 
4.0%
이 10
 
4.0%
필 9
 
3.6%
름 9
 
3.6%
화 7
 
2.8%
영 7
 
2.8%
쳐 7
 
2.8%
아 6
 
2.4%
Other values (105) 161
64.7%
Latin
ValueCountFrequency (%)
L 2
28.6%
D 1
14.3%
C 1
14.3%
F 1
14.3%
I 1
14.3%
M 1
14.3%
Common
ValueCountFrequency (%)
18
41.9%
( 11
25.6%
) 11
25.6%
9 2
 
4.7%
2 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 249
83.3%
ASCII 50
 
16.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18
36.0%
( 11
22.0%
) 11
22.0%
9 2
 
4.0%
L 2
 
4.0%
D 1
 
2.0%
2 1
 
2.0%
C 1
 
2.0%
F 1
 
2.0%
I 1
 
2.0%
Hangul
ValueCountFrequency (%)
스 12
 
4.8%
주 11
 
4.4%
사 10
 
4.0%
이 10
 
4.0%
필 9
 
3.6%
름 9
 
3.6%
화 7
 
2.8%
영 7
 
2.8%
쳐 7
 
2.8%
아 6
 
2.4%
Other values (105) 161
64.7%

최종수정일자
Date

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2010-06-29 17:27:42
Maximum2024-02-27 11:10:00
2024-04-06T19:50:06.273168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:50:06.542425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
I
32 
U
8 

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 32
80.0%
U 8
 
20.0%

Length

2024-04-06T19:50:06.763815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:06.942789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 32
80.0%
u 8
 
20.0%

데이터갱신일자
Date

Distinct19
Distinct (%)47.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:01:00
2024-04-06T19:50:07.109099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:50:07.350374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)94.9%
Missing1
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean201689.64
Minimum200489.25
Maximum203242.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-06T19:50:07.575976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200489.25
5-th percentile200534.35
Q1201041.93
median201634.03
Q3202228.43
95-th percentile202851.73
Maximum203242.51
Range2753.2639
Interquartile range (IQR)1186.5056

Descriptive statistics

Standard deviation765.76634
Coefficient of variation (CV)0.0037967559
Kurtosis-0.87726101
Mean201689.64
Median Absolute Deviation (MAD)594.40251
Skewness0.19067297
Sum7865895.9
Variance586398.08
MonotonicityNot monotonic
2024-04-06T19:50:07.816844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
202228.431717714 2
 
5.0%
200489.247466068 2
 
5.0%
201425.248301789 1
 
2.5%
200928.717050957 1
 
2.5%
200540.718512501 1
 
2.5%
201557.462970533 1
 
2.5%
201468.91203468 1
 
2.5%
201634.029203592 1
 
2.5%
202363.061439605 1
 
2.5%
201745.126909311 1
 
2.5%
Other values (27) 27
67.5%
ValueCountFrequency (%)
200489.247466068 2
5.0%
200539.363867585 1
2.5%
200540.718512501 1
2.5%
200801.209328853 1
2.5%
200809.310351005 1
2.5%
200897.095518246 1
2.5%
200928.717050957 1
2.5%
200934.431967131 1
2.5%
201032.724566861 1
2.5%
201051.127581288 1
2.5%
ValueCountFrequency (%)
203242.511375372 1
2.5%
203041.347399226 1
2.5%
202830.6608213 1
2.5%
202824.754891148 1
2.5%
202820.325394856 1
2.5%
202666.11725923 1
2.5%
202458.839299307 1
2.5%
202376.010239172 1
2.5%
202363.061439605 1
2.5%
202228.431717714 2
5.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)94.9%
Missing1
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean458841.63
Minimum456617.86
Maximum461829.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-06T19:50:08.055378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum456617.86
5-th percentile456775.98
Q1457879.95
median458690.8
Q3459983.84
95-th percentile460516.4
Maximum461829.99
Range5212.1249
Interquartile range (IQR)2103.8908

Descriptive statistics

Standard deviation1332.6272
Coefficient of variation (CV)0.0029043294
Kurtosis-0.6935184
Mean458841.63
Median Absolute Deviation (MAD)1087.9134
Skewness0.17944544
Sum17894824
Variance1775895.3
MonotonicityNot monotonic
2024-04-06T19:50:08.346583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
458158.105668456 2
 
5.0%
460237.910640094 2
 
5.0%
457269.520249946 1
 
2.5%
458321.051653606 1
 
2.5%
459552.943573045 1
 
2.5%
457757.332431336 1
 
2.5%
458002.566059369 1
 
2.5%
457735.698395166 1
 
2.5%
459512.836766578 1
 
2.5%
458496.484711107 1
 
2.5%
Other values (27) 27
67.5%
ValueCountFrequency (%)
456617.86226257 1
2.5%
456661.0980247 1
2.5%
456788.74930812 1
2.5%
456987.839409342 1
2.5%
457230.594015691 1
2.5%
457269.520249946 1
2.5%
457369.001979639 1
2.5%
457470.049216232 1
2.5%
457735.698395166 1
2.5%
457757.332431336 1
2.5%
ValueCountFrequency (%)
461829.987153339 1
2.5%
461406.778613981 1
2.5%
460417.474013173 1
2.5%
460404.255696764 1
2.5%
460366.641216558 1
2.5%
460240.835670285 1
2.5%
460237.910640094 2
5.0%
460105.401055428 1
2.5%
460036.115527321 1
2.5%
459931.564539913 1
2.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
영화제작업
27 
<NA>
13 

Length

Max length5
Median length5
Mean length4.675
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 27
67.5%
<NA> 13
32.5%

Length

2024-04-06T19:50:08.613913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:08.806298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 27
67.5%
na 13
32.5%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:50:08.993753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:09.185479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:50:09.387123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:09.576276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:50:09.772158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:09.977839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:50:10.558774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:10.726857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:50:10.913965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:11.111678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:50:11.295326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:11.481936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:50:11.669312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:11.991342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:50:12.249174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:12.433430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:50:12.635690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:50:12.814664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing13
Missing (%)32.5%
Infinite0
Infinite (%)0.0%
Mean20119106
Minimum20010209
Maximum20220112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-06T19:50:12.982015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20010209
5-th percentile20056462
Q120080913
median20120308
Q320156022
95-th percentile20190667
Maximum20220112
Range209903
Interquartile range (IQR)75109

Descriptive statistics

Standard deviation50048.098
Coefficient of variation (CV)0.0024875905
Kurtosis-0.5047226
Mean20119106
Median Absolute Deviation (MAD)39495
Skewness0.035616723
Sum5.4321586 × 108
Variance2.5048121 × 109
MonotonicityNot monotonic
2024-04-06T19:50:13.169594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20050613 1
 
2.5%
20220112 1
 
2.5%
20100518 1
 
2.5%
20090102 1
 
2.5%
20190729 1
 
2.5%
20190523 1
 
2.5%
20080805 1
 
2.5%
20171221 1
 
2.5%
20170717 1
 
2.5%
20170425 1
 
2.5%
Other values (17) 17
42.5%
(Missing) 13
32.5%
ValueCountFrequency (%)
20010209 1
2.5%
20050613 1
2.5%
20070109 1
2.5%
20070426 1
2.5%
20070523 1
2.5%
20080805 1
2.5%
20080813 1
2.5%
20081013 1
2.5%
20090102 1
2.5%
20090128 1
2.5%
ValueCountFrequency (%)
20220112 1
2.5%
20190729 1
2.5%
20190523 1
2.5%
20171221 1
2.5%
20170717 1
2.5%
20170425 1
2.5%
20161026 1
2.5%
20151018 1
2.5%
20150817 1
2.5%
20140630 1
2.5%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03080000CDFF521101200100000120010209<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-*번지 신일빌딩 ***호서울특별시 강북구 도봉로 ***, ***호 (미아동,신일빌딩)<NA>(주)햇빛영화사2010-06-30 09:39:49I2018-08-31 23:59:59.0<NA>202132.411671458690.802597영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20010209<NA>
13080000CDFF521101200500000120050613<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142077서울특별시 강북구 수유동 ***-*번지 ***호서울특별시 강북구 삼양로***길 *, ***호 (수유동)<NA>다큐아이2010-06-29 17:27:42I2018-08-31 23:59:59.0<NA>201359.411747459931.56454영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20050613<NA>
23080000CDFF521101200700000120070426<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142077서울특별시 강북구 수유동 ***-**번지서울특별시 강북구 인수봉로**다길 **-* (수유동)<NA>노른자픽쳐스2010-06-29 17:32:27I2018-08-31 23:59:59.0<NA>200539.363868460105.401055영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070426<NA>
33080000CDFF521101200700000220070523<NA>3폐업3폐업20170227<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-***번지서울특별시 강북구 삼양로**길 *-** (미아동)142817월원영화사2017-02-27 21:34:45I2018-08-31 23:59:59.0<NA>201911.343095456788.749308영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070523<NA>
43080000CDFF521101200800000120080813<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***번지 진주주택나동 B**호<NA><NA>김씨네아트기획2010-06-30 09:43:00I2018-08-31 23:59:59.0<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080813<NA>
53080000CDFF521101200800000220081013<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142878서울특별시 강북구 수유동 ***번지 북한산그랑빌 ***호서울특별시 강북구 노해로**길 *-**, ***호 (수유동,북한산그랑빌)<NA>영화사 하늘비2010-06-29 17:40:38I2018-08-31 23:59:59.0<NA>202146.572728460366.641217영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20081013<NA>
63080000CDFF521101200900000120090506<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-**번지 스위트그린빌 *동 ***호서울특별시 강북구 *.**로**길 **, *동 ***호 (수유동,스위트그린빌)<NA>스튜디오느림보2010-06-30 14:50:03I2018-08-31 23:59:59.0<NA>200489.247466460237.91064영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090506<NA>
73080000CDFF521101200900000220090128<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>142077서울특별시 강북구 수유동 ***-*번지 스위트빌 -***호서울특별시 강북구 화계사길 **, -***호 (수유동,스위트빌)<NA>(주)조나단유필름2010-06-29 17:47:31I2018-08-31 23:59:59.0<NA>200801.209329459020.256785영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090128<NA>
83080000CDFF521101200900000320090720<NA>3폐업3폐업20191231<NA><NA><NA>02-556-6302<NA><NA>서울특별시 강북구 번동 ***-*번지 *층 ***호서울특별시 강북구 오현로**길 ***, ***호 (번동,*층)<NA>(주)버즈픽쳐스2020-01-02 16:08:42U2020-01-04 02:40:00.0<NA>203041.347399458882.812051영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090720<NA>
93080000CDFF521101201200000220120308<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**번지서울특별시 강북구 도봉로**길 **-** (미아동)142100더 필름클래식 프로덕션2012-03-08 12:56:36I2018-08-31 23:59:59.0<NA>202666.117259457470.049216영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120308<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
303080000CDFF521101202200000420220613<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**서울특별시 강북구 도봉로**길 **, *층 (미아동)1119아베스타 아트2022-06-13 17:17:39I2021-12-05 23:06:00.0<NA>201745.126909458496.484711<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313080000CDFF521101202200000520220719<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 *** 두산위브트레지움아파트 ***동 ***호서울특별시 강북구 삼양로**길 **, ***동 ***호 (미아동, 두산위브트레지움아파트)1197오버룩 주식회사2022-07-19 11:02:50I2021-12-06 22:01:00.0<NA>201425.248302457269.52025<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323080000CDFF521101202200000620220803<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 **-** 지하*층서울특별시 강북구 수유로*길 **-*, 지하층 (수유동)1115영화공작소 가람2022-08-17 14:47:18U2021-12-07 23:09:00.0<NA>201837.056228458849.133814<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333080000CDFF521101202200000720220825<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 *** 한원힐트리움 수유 아파트서울특별시 강북구 노해로 ***, **층 ****호 (수유동, 한원힐트리움 수유 아파트)1051프로젝트992022-08-25 17:33:11I2021-12-07 22:07:00.0<NA>202023.133953460240.83567<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343080000CDFF52110120230000012009-09-29<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-** 스위트그린빌서울특별시 강북구 *.**로**길 **, *동 지층 ***호 (수유동, 스위트그린빌)1015(주)인디플러그2023-04-07 16:02:20I2022-12-04 00:09:00.0<NA>200489.247466460237.91064<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
353080000CDFF52110120230000022023-04-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-946-1826<NA><NA>서울특별시 강북구 미아동 **-***서울특별시 강북구 오현로*길 ** (미아동)1219(주)불도저스튜디오2023-04-25 09:18:05I2022-12-03 22:07:00.0<NA>202830.660821456661.098025<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363080000CDFF52110120230000032023-06-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 우이동 **-** 예술인마을*차서울특별시 강북구 삼양로***길 **, ***호 (우이동, 예술인마을*차)1004와이키키 픽쳐스2023-06-28 17:04:23I2022-12-05 21:00:00.0<NA>201051.127581461829.987153<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373080000CDFF52110120230000042023-11-05<NA>3폐업3폐업2024-01-30<NA><NA><NA><NA><NA><NA>서울특별시 강북구 미아동 ***-**서울특별시 강북구 삼양로**길 **-*, *층 (미아동)1201킹스민2024-01-30 15:42:31U2023-12-02 00:01:00.0<NA>201893.924139457369.00198<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383080000CDFF52110120240000012024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 우이동 *** 파인힐 하우스 ***호서울특별시 강북구 삼양로***길 **, ***호 (우이동, 파인힐 하우스)1006사나흘 스튜디오2024-02-15 09:19:21I2023-12-01 23:07:00.0<NA>200809.310351461406.778614<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
393080000CDFF52110120240000022024-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 강북구 수유동 ***-*** 아우르미빌서울특별시 강북구 인수봉로**길 **-*, *층 ***호 (수유동, 아우르미빌)1101구필름2024-02-27 11:10:00I2023-12-01 22:09:00.0<NA>201272.106305458666.168533<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>