Overview

Dataset statistics

Number of variables56
Number of observations107
Missing cells3062
Missing cells (%)51.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.3 KiB
Average record size in memory491.2 B

Variable types

Categorical16
Text6
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
Author성북구
URLhttps://data.seoul.go.kr/dataList/OA-17734/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
영업상태코드 is highly imbalanced (59.5%)Imbalance
영업상태명 is highly imbalanced (59.5%)Imbalance
상세영업상태코드 is highly imbalanced (59.5%)Imbalance
상세영업상태명 is highly imbalanced (59.5%)Imbalance
총층수 is highly imbalanced (81.6%)Imbalance
시설면적 is highly imbalanced (81.6%)Imbalance
지상층수 is highly imbalanced (81.6%)Imbalance
지하층수 is highly imbalanced (81.6%)Imbalance
통로너비 is highly imbalanced (81.6%)Imbalance
조명시설조도 is highly imbalanced (81.6%)Imbalance
노래방실수 is highly imbalanced (81.6%)Imbalance
청소년실수 is highly imbalanced (81.6%)Imbalance
총게임기수 is highly imbalanced (81.6%)Imbalance
인허가취소일자 has 107 (100.0%) missing valuesMissing
폐업일자 has 94 (87.9%) missing valuesMissing
휴업시작일자 has 107 (100.0%) missing valuesMissing
휴업종료일자 has 107 (100.0%) missing valuesMissing
재개업일자 has 107 (100.0%) missing valuesMissing
전화번호 has 65 (60.7%) missing valuesMissing
소재지면적 has 107 (100.0%) missing valuesMissing
소재지우편번호 has 78 (72.9%) missing valuesMissing
도로명주소 has 6 (5.6%) missing valuesMissing
도로명우편번호 has 6 (5.6%) missing valuesMissing
업태구분명 has 107 (100.0%) missing valuesMissing
좌표정보(X) has 5 (4.7%) missing valuesMissing
좌표정보(Y) has 5 (4.7%) missing valuesMissing
문화사업자구분명 has 107 (100.0%) missing valuesMissing
주변환경명 has 107 (100.0%) missing valuesMissing
제작취급품목내용 has 107 (100.0%) missing valuesMissing
건물용도명 has 107 (100.0%) missing valuesMissing
비상계단여부 has 107 (100.0%) missing valuesMissing
비상구여부 has 107 (100.0%) missing valuesMissing
자동환기여부 has 107 (100.0%) missing valuesMissing
청소년실여부 has 107 (100.0%) missing valuesMissing
특수조명여부 has 107 (100.0%) missing valuesMissing
방음시설여부 has 107 (100.0%) missing valuesMissing
비디오재생기명 has 107 (100.0%) missing valuesMissing
조명시설유무 has 107 (100.0%) missing valuesMissing
음향시설여부 has 107 (100.0%) missing valuesMissing
편의시설여부 has 107 (100.0%) missing valuesMissing
소방시설여부 has 107 (100.0%) missing valuesMissing
기존게임업외업종명 has 107 (100.0%) missing valuesMissing
제공게임물명 has 107 (100.0%) missing valuesMissing
공연장형태구분명 has 107 (100.0%) missing valuesMissing
품목명 has 107 (100.0%) missing valuesMissing
최초등록시점 has 21 (19.6%) missing valuesMissing
지역구분명 has 107 (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 started2024-05-11 04:35:20.266344
Analysis finished2024-05-11 04:35:21.565026
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
3070000
107 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3070000 107
100.0%

Length

2024-05-11T04:35:21.684830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:21.888906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3070000 107
100.0%

관리번호
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-05-11T04:35:22.336743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2140
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

Unique107 ?
Unique (%)100.0%

Sample

1st rowCDFF5211011973000001
2nd rowCDFF5211011995000001
3rd rowCDFF5211011999000001
4th rowCDFF5211011999000002
5th rowCDFF5211011999000003
ValueCountFrequency (%)
cdff5211011973000001 1
 
0.9%
cdff5211012015000006 1
 
0.9%
cdff5211012019000006 1
 
0.9%
cdff5211012019000005 1
 
0.9%
cdff5211012019000004 1
 
0.9%
cdff5211012019000003 1
 
0.9%
cdff5211012019000002 1
 
0.9%
cdff5211012019000001 1
 
0.9%
cdff5211012018000009 1
 
0.9%
cdff5211012018000008 1
 
0.9%
Other values (97) 97
90.7%
2024-05-11T04:35:23.201577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 785
36.7%
1 403
18.8%
2 267
 
12.5%
F 214
 
10.0%
5 127
 
5.9%
C 107
 
5.0%
D 107
 
5.0%
3 35
 
1.6%
9 28
 
1.3%
4 21
 
1.0%
Other values (3) 46
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1712
80.0%
Uppercase Letter 428
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 785
45.9%
1 403
23.5%
2 267
 
15.6%
5 127
 
7.4%
3 35
 
2.0%
9 28
 
1.6%
4 21
 
1.2%
8 18
 
1.1%
7 15
 
0.9%
6 13
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 214
50.0%
C 107
25.0%
D 107
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1712
80.0%
Latin 428
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 785
45.9%
1 403
23.5%
2 267
 
15.6%
5 127
 
7.4%
3 35
 
2.0%
9 28
 
1.6%
4 21
 
1.2%
8 18
 
1.1%
7 15
 
0.9%
6 13
 
0.8%
Latin
ValueCountFrequency (%)
F 214
50.0%
C 107
25.0%
D 107
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 785
36.7%
1 403
18.8%
2 267
 
12.5%
F 214
 
10.0%
5 127
 
5.9%
C 107
 
5.0%
D 107
 
5.0%
3 35
 
1.6%
9 28
 
1.3%
4 21
 
1.0%
Other values (3) 46
 
2.1%

인허가일자
Date

Distinct105
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum1973-03-31 00:00:00
Maximum2024-02-26 00:00:00
2024-05-11T04:35:23.607434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:35:24.092990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
1
94 
3
 
9
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 94
87.9%
3 9
 
8.4%
5 4
 
3.7%

Length

2024-05-11T04:35:24.538412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:24.812344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 94
87.9%
3 9
 
8.4%
5 4
 
3.7%

영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
영업/정상
94 
폐업
 
9
제외/삭제/전출
 
4

Length

Max length8
Median length5
Mean length4.8598131
Min length2

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 94
87.9%
폐업 9
 
8.4%
제외/삭제/전출 4
 
3.7%

Length

2024-05-11T04:35:25.167634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:25.503487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 94
87.9%
폐업 9
 
8.4%
제외/삭제/전출 4
 
3.7%

상세영업상태코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
13
94 
3
 
9
15
 
4

Length

Max length2
Median length2
Mean length1.9158879
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 94
87.9%
3 9
 
8.4%
15 4
 
3.7%

Length

2024-05-11T04:35:25.797672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:26.197309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 94
87.9%
3 9
 
8.4%
15 4
 
3.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size988.0 B
영업중
94 
폐업
 
9
전출
 
4

Length

Max length3
Median length3
Mean length2.8785047
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 94
87.9%
폐업 9
 
8.4%
전출 4
 
3.7%

Length

2024-05-11T04:35:26.571012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:26.877676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 94
87.9%
폐업 9
 
8.4%
전출 4
 
3.7%

폐업일자
Date

MISSING 

Distinct13
Distinct (%)100.0%
Missing94
Missing (%)87.9%
Memory size988.0 B
Minimum2013-10-23 00:00:00
Maximum2024-01-30 00:00:00
2024-05-11T04:35:27.168480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:35:27.474520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

전화번호
Text

MISSING 

Distinct40
Distinct (%)95.2%
Missing65
Missing (%)60.7%
Memory size988.0 B
2024-05-11T04:35:27.954461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length8
Mean length9.1666667
Min length8

Characters and Unicode

Total characters385
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)90.5%

Sample

1st row928-1106
2nd row921-7777
3rd row929-3760
4th row921-8915
5th row921-7207
ValueCountFrequency (%)
02 4
 
8.0%
923-3292 2
 
4.0%
070-4125-5831 2
 
4.0%
778-4308 1
 
2.0%
747-6165 1
 
2.0%
741-8132 1
 
2.0%
927-5360 1
 
2.0%
913-7536 1
 
2.0%
02-2193-2015 1
 
2.0%
3291-5160 1
 
2.0%
Other values (35) 35
70.0%
2024-05-11T04:35:28.768858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 51
13.2%
9 46
11.9%
- 45
11.7%
0 45
11.7%
1 40
10.4%
7 35
9.1%
5 25
6.5%
3 24
6.2%
6 23
6.0%
8 22
5.7%
Other values (2) 29
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 332
86.2%
Dash Punctuation 45
 
11.7%
Space Separator 8
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 51
15.4%
9 46
13.9%
0 45
13.6%
1 40
12.0%
7 35
10.5%
5 25
7.5%
3 24
7.2%
6 23
6.9%
8 22
6.6%
4 21
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 51
13.2%
9 46
11.9%
- 45
11.7%
0 45
11.7%
1 40
10.4%
7 35
9.1%
5 25
6.5%
3 24
6.2%
6 23
6.0%
8 22
5.7%
Other values (2) 29
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 51
13.2%
9 46
11.9%
- 45
11.7%
0 45
11.7%
1 40
10.4%
7 35
9.1%
5 25
6.5%
3 24
6.2%
6 23
6.0%
8 22
5.7%
Other values (2) 29
7.5%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

소재지우편번호
Text

MISSING 

Distinct27
Distinct (%)93.1%
Missing78
Missing (%)72.9%
Memory size988.0 B
2024-05-11T04:35:29.235023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0344828
Min length6

Characters and Unicode

Total characters175
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

Unique25 ?
Unique (%)86.2%

Sample

1st row136054
2nd row136051
3rd row136036
4th row136087
5th row136035
ValueCountFrequency (%)
136824 2
 
6.9%
136045 2
 
6.9%
136054 1
 
3.4%
136858 1
 
3.4%
136751 1
 
3.4%
136748 1
 
3.4%
136086 1
 
3.4%
136821 1
 
3.4%
136032 1
 
3.4%
136860 1
 
3.4%
Other values (17) 17
58.6%
2024-05-11T04:35:30.149964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 39
22.3%
1 38
21.7%
6 33
18.9%
0 17
9.7%
8 14
 
8.0%
4 9
 
5.1%
2 7
 
4.0%
5 7
 
4.0%
7 7
 
4.0%
9 3
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 174
99.4%
Dash Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 39
22.4%
1 38
21.8%
6 33
19.0%
0 17
9.8%
8 14
 
8.0%
4 9
 
5.2%
2 7
 
4.0%
5 7
 
4.0%
7 7
 
4.0%
9 3
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 175
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 39
22.3%
1 38
21.7%
6 33
18.9%
0 17
9.7%
8 14
 
8.0%
4 9
 
5.1%
2 7
 
4.0%
5 7
 
4.0%
7 7
 
4.0%
9 3
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 175
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 39
22.3%
1 38
21.7%
6 33
18.9%
0 17
9.7%
8 14
 
8.0%
4 9
 
5.1%
2 7
 
4.0%
5 7
 
4.0%
7 7
 
4.0%
9 3
 
1.7%

지번주소
Text

Distinct93
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-05-11T04:35:30.731903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length36
Mean length25.719626
Min length14

Characters and Unicode

Total characters2752
Distinct characters131
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)77.6%

Sample

1st row서울특별시 성북구 동선동*가 **번지
2nd row서울특별시 성북구 동선동*가 **-**번지
3rd row서울특별시 성북구 동소문동*가 **-*번지 청송빌딩 *층
4th row서울특별시 성북구 보문동*가 **번지 대경빌딩 *층
5th row서울특별시 성북구 동소문동*가 ***-**번지
ValueCountFrequency (%)
서울특별시 107
20.9%
성북구 107
20.9%
번지 75
14.7%
29
 
5.7%
정릉동 21
 
4.1%
호 21
 
4.1%
층 13
 
2.5%
성북동 13
 
2.5%
동소문동*가 10
 
2.0%
삼선동*가 9
 
1.8%
Other values (56) 106
20.7%
2024-05-11T04:35:31.762665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 552
20.1%
477
17.3%
동 139
 
5.1%
성 125
 
4.5%
북 125
 
4.5%
서 108
 
3.9%
별 108
 
3.9%
시 108
 
3.9%
울 108
 
3.9%
특 107
 
3.9%
Other values (121) 795
28.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1646
59.8%
Other Punctuation 554
 
20.1%
Space Separator 477
 
17.3%
Dash Punctuation 73
 
2.7%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 139
 
8.4%
성 125
 
7.6%
북 125
 
7.6%
서 108
 
6.6%
별 108
 
6.6%
시 108
 
6.6%
울 108
 
6.6%
특 107
 
6.5%
구 107
 
6.5%
지 77
 
4.7%
Other values (114) 534
32.4%
Other Punctuation
ValueCountFrequency (%)
* 552
99.6%
/ 1
 
0.2%
@ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
477
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1644
59.7%
Common 1106
40.2%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 139
 
8.5%
성 125
 
7.6%
북 125
 
7.6%
서 108
 
6.6%
별 108
 
6.6%
시 108
 
6.6%
울 108
 
6.6%
특 107
 
6.5%
구 107
 
6.5%
지 77
 
4.7%
Other values (112) 532
32.4%
Common
ValueCountFrequency (%)
* 552
49.9%
477
43.1%
- 73
 
6.6%
( 1
 
0.1%
/ 1
 
0.1%
) 1
 
0.1%
@ 1
 
0.1%
Han
ValueCountFrequency (%)
坪 1
50.0%
淸 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1644
59.7%
ASCII 1106
40.2%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 552
49.9%
477
43.1%
- 73
 
6.6%
( 1
 
0.1%
/ 1
 
0.1%
) 1
 
0.1%
@ 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 139
 
8.5%
성 125
 
7.6%
북 125
 
7.6%
서 108
 
6.6%
별 108
 
6.6%
시 108
 
6.6%
울 108
 
6.6%
특 107
 
6.5%
구 107
 
6.5%
지 77
 
4.7%
Other values (112) 532
32.4%
CJK
ValueCountFrequency (%)
坪 1
50.0%
淸 1
50.0%

도로명주소
Text

MISSING 

Distinct97
Distinct (%)96.0%
Missing6
Missing (%)5.6%
Memory size988.0 B
2024-05-11T04:35:32.327129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length32.514851
Min length22

Characters and Unicode

Total characters3284
Distinct characters129
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)93.1%

Sample

1st row서울특별시 성북구 동소문로**나길 **-** (동소문동*가)
2nd row서울특별시 성북구 보문로 ** (보문동*가)
3rd row서울특별시 성북구 동소문로**길 **-* (동소문동*가)
4th row서울특별시 성북구 장위로**길 ** (장위동)
5th row서울특별시 성북구 보문로 ** (보문동*가)
ValueCountFrequency (%)
서울특별시 101
16.4%
성북구 101
16.4%
101
16.4%
호 39
 
6.3%
정릉동 19
 
3.1%
층 15
 
2.4%
성북동 13
 
2.1%
동 13
 
2.1%
동소문동*가 9
 
1.5%
삼선동*가 9
 
1.5%
Other values (102) 196
31.8%
2024-05-11T04:35:33.526910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 599
18.2%
515
15.7%
동 151
 
4.6%
북 141
 
4.3%
성 134
 
4.1%
서 101
 
3.1%
) 101
 
3.1%
특 101
 
3.1%
별 101
 
3.1%
시 101
 
3.1%
Other values (119) 1239
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1851
56.4%
Other Punctuation 679
 
20.7%
Space Separator 515
 
15.7%
Close Punctuation 101
 
3.1%
Open Punctuation 101
 
3.1%
Dash Punctuation 33
 
1.0%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 151
 
8.2%
북 141
 
7.6%
성 134
 
7.2%
서 101
 
5.5%
특 101
 
5.5%
별 101
 
5.5%
시 101
 
5.5%
구 101
 
5.5%
울 101
 
5.5%
로 99
 
5.3%
Other values (111) 720
38.9%
Other Punctuation
ValueCountFrequency (%)
* 599
88.2%
, 80
 
11.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Space Separator
ValueCountFrequency (%)
515
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1849
56.3%
Common 1429
43.5%
Latin 4
 
0.1%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 151
 
8.2%
북 141
 
7.6%
성 134
 
7.2%
서 101
 
5.5%
특 101
 
5.5%
별 101
 
5.5%
시 101
 
5.5%
구 101
 
5.5%
울 101
 
5.5%
로 99
 
5.4%
Other values (109) 718
38.8%
Common
ValueCountFrequency (%)
* 599
41.9%
515
36.0%
) 101
 
7.1%
( 101
 
7.1%
, 80
 
5.6%
- 33
 
2.3%
Latin
ValueCountFrequency (%)
B 3
75.0%
A 1
 
25.0%
Han
ValueCountFrequency (%)
淸 1
50.0%
坪 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1849
56.3%
ASCII 1433
43.6%
CJK 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 599
41.8%
515
35.9%
) 101
 
7.0%
( 101
 
7.0%
, 80
 
5.6%
- 33
 
2.3%
B 3
 
0.2%
A 1
 
0.1%
Hangul
ValueCountFrequency (%)
동 151
 
8.2%
북 141
 
7.6%
성 134
 
7.2%
서 101
 
5.5%
특 101
 
5.5%
별 101
 
5.5%
시 101
 
5.5%
구 101
 
5.5%
울 101
 
5.5%
로 99
 
5.4%
Other values (109) 718
38.8%
CJK
ValueCountFrequency (%)
淸 1
50.0%
坪 1
50.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)80.2%
Missing6
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean62333.634
Minimum2700
Maximum136890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:35:34.042768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2700
5-th percentile2719
Q12813
median2874
Q3136087
95-th percentile136851
Maximum136890
Range134190
Interquartile range (IQR)133274

Descriptive statistics

Standard deviation66736.015
Coefficient of variation (CV)1.0706261
Kurtosis-1.9902525
Mean62333.634
Median Absolute Deviation (MAD)155
Skewness0.2224861
Sum6295697
Variance4.4536957 × 109
MonotonicityNot monotonic
2024-05-11T04:35:34.659680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
136045 3
 
2.8%
2880 3
 
2.8%
2810 3
 
2.8%
136824 3
 
2.8%
2826 3
 
2.8%
2740 2
 
1.9%
2784 2
 
1.9%
136023 2
 
1.9%
136020 2
 
1.9%
2821 2
 
1.9%
Other values (71) 76
71.0%
(Missing) 6
 
5.6%
ValueCountFrequency (%)
2700 1
0.9%
2701 1
0.9%
2708 2
1.9%
2716 1
0.9%
2719 1
0.9%
2726 1
0.9%
2737 1
0.9%
2740 2
1.9%
2747 1
0.9%
2748 1
0.9%
ValueCountFrequency (%)
136890 1
 
0.9%
136873 1
 
0.9%
136860 1
 
0.9%
136858 1
 
0.9%
136855 1
 
0.9%
136851 1
 
0.9%
136843 1
 
0.9%
136839 1
 
0.9%
136836 1
 
0.9%
136824 3
2.8%

사업장명
Text

Distinct106
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size988.0 B
2024-05-11T04:35:35.400775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length18
Mean length8.0186916
Min length2

Characters and Unicode

Total characters858
Distinct characters249
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

Unique105 ?
Unique (%)98.1%

Sample

1st row(주)삼영필림
2nd row(주)동양미디어
3rd rowD.Y.Cinema
4th rowP.O.M 파워오브무비
5th row에니메카
ValueCountFrequency (%)
주식회사 12
 
7.5%
영화사 7
 
4.3%
스튜디오 4
 
2.5%
필름 3
 
1.9%
애즈필름 2
 
1.2%
films 2
 
1.2%
픽쳐스 2
 
1.2%
다큐295 1
 
0.6%
산학협력단 1
 
0.6%
씨앗필름 1
 
0.6%
Other values (126) 126
78.3%
2024-05-11T04:35:37.008012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
6.3%
주 32
 
3.7%
사 30
 
3.5%
( 26
 
3.0%
) 26
 
3.0%
스 26
 
3.0%
영 23
 
2.7%
화 21
 
2.4%
필 18
 
2.1%
이 18
 
2.1%
Other values (239) 584
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 633
73.8%
Lowercase Letter 67
 
7.8%
Space Separator 54
 
6.3%
Uppercase Letter 42
 
4.9%
Open Punctuation 26
 
3.0%
Close Punctuation 26
 
3.0%
Other Punctuation 5
 
0.6%
Decimal Number 5
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 32
 
5.1%
사 30
 
4.7%
스 26
 
4.1%
영 23
 
3.6%
화 21
 
3.3%
필 18
 
2.8%
이 18
 
2.8%
름 17
 
2.7%
회 13
 
2.1%
식 13
 
2.1%
Other values (191) 422
66.7%
Uppercase Letter
ValueCountFrequency (%)
O 5
11.9%
P 4
 
9.5%
S 3
 
7.1%
R 3
 
7.1%
I 3
 
7.1%
C 3
 
7.1%
D 3
 
7.1%
J 2
 
4.8%
W 2
 
4.8%
G 2
 
4.8%
Other values (11) 12
28.6%
Lowercase Letter
ValueCountFrequency (%)
e 10
14.9%
n 7
10.4%
t 7
10.4%
i 7
10.4%
m 6
9.0%
o 5
7.5%
c 4
 
6.0%
l 4
 
6.0%
r 3
 
4.5%
s 3
 
4.5%
Other values (9) 11
16.4%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
2 1
20.0%
9 1
20.0%
5 1
20.0%
Space Separator
ValueCountFrequency (%)
54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 633
73.8%
Common 116
 
13.5%
Latin 109
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 32
 
5.1%
사 30
 
4.7%
스 26
 
4.1%
영 23
 
3.6%
화 21
 
3.3%
필 18
 
2.8%
이 18
 
2.8%
름 17
 
2.7%
회 13
 
2.1%
식 13
 
2.1%
Other values (191) 422
66.7%
Latin
ValueCountFrequency (%)
e 10
 
9.2%
n 7
 
6.4%
t 7
 
6.4%
i 7
 
6.4%
m 6
 
5.5%
O 5
 
4.6%
o 5
 
4.6%
c 4
 
3.7%
l 4
 
3.7%
P 4
 
3.7%
Other values (30) 50
45.9%
Common
ValueCountFrequency (%)
54
46.6%
( 26
22.4%
) 26
22.4%
. 5
 
4.3%
3 2
 
1.7%
2 1
 
0.9%
9 1
 
0.9%
5 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 633
73.8%
ASCII 225
 
26.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
24.0%
( 26
 
11.6%
) 26
 
11.6%
e 10
 
4.4%
n 7
 
3.1%
t 7
 
3.1%
i 7
 
3.1%
m 6
 
2.7%
O 5
 
2.2%
. 5
 
2.2%
Other values (38) 72
32.0%
Hangul
ValueCountFrequency (%)
주 32
 
5.1%
사 30
 
4.7%
스 26
 
4.1%
영 23
 
3.6%
화 21
 
3.3%
필 18
 
2.8%
이 18
 
2.8%
름 17
 
2.7%
회 13
 
2.1%
식 13
 
2.1%
Other values (191) 422
66.7%

최종수정일자
Date

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2010-04-28 16:30:32
Maximum2024-02-26 08:53:39
2024-05-11T04:35:37.650267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:35:38.318759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
I
86 
U
21 

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 86
80.4%
U 21
 
19.6%

Length

2024-05-11T04:35:38.936812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:39.351311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 86
80.4%
u 21
 
19.6%

데이터갱신일자
Date

Distinct46
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 00:01:00
2024-05-11T04:35:39.872049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T04:35:40.472753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)92.2%
Missing5
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean201597.48
Minimum198950.78
Maximum205499.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:35:41.205534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum198950.78
5-th percentile199540.11
Q1200460.6
median201243.12
Q3202698.4
95-th percentile204635.83
Maximum205499.09
Range6548.3133
Interquartile range (IQR)2237.8055

Descriptive statistics

Standard deviation1535.3458
Coefficient of variation (CV)0.007615898
Kurtosis-0.21173459
Mean201597.48
Median Absolute Deviation (MAD)883.64447
Skewness0.67248585
Sum20562943
Variance2357286.8
MonotonicityNot monotonic
2024-05-11T04:35:42.037745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202954.473822845 4
 
3.7%
201203.810142302 2
 
1.9%
201025.792212985 2
 
1.9%
200820.261137542 2
 
1.9%
199790.039797093 2
 
1.9%
200841.726990037 2
 
1.9%
205313.481691417 1
 
0.9%
201776.226345371 1
 
0.9%
200206.846313891 1
 
0.9%
199910.319734384 1
 
0.9%
Other values (84) 84
78.5%
(Missing) 5
 
4.7%
ValueCountFrequency (%)
198950.77537068 1
0.9%
199104.059091392 1
0.9%
199168.512413845 1
0.9%
199351.832787571 1
0.9%
199388.31448777 1
0.9%
199534.919334437 1
0.9%
199638.63512508 1
0.9%
199728.135081588 1
0.9%
199790.039797093 2
1.9%
199884.047406571 1
0.9%
ValueCountFrequency (%)
205499.088629431 1
0.9%
205313.481691417 1
0.9%
205153.53282873 1
0.9%
204863.310848262 1
0.9%
204789.323556821 1
0.9%
204660.004530055 1
0.9%
204176.492119508 1
0.9%
204079.994702647 1
0.9%
204046.501465816 1
0.9%
204023.406931381 1
0.9%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct94
Distinct (%)92.2%
Missing5
Missing (%)4.7%
Infinite0
Infinite (%)0.0%
Mean455047.52
Minimum452935.22
Maximum457579.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:35:42.506888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum452935.22
5-th percentile453316.42
Q1454256.68
median454898.82
Q3455770.88
95-th percentile456982.79
Maximum457579.22
Range4643.9949
Interquartile range (IQR)1514.2069

Descriptive statistics

Standard deviation1107.1947
Coefficient of variation (CV)0.0024331409
Kurtosis-0.51086899
Mean455047.52
Median Absolute Deviation (MAD)745.33429
Skewness0.31807758
Sum46414847
Variance1225880.1
MonotonicityNot monotonic
2024-05-11T04:35:43.005162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
454945.633209397 4
 
3.7%
453862.465289117 2
 
1.9%
455567.845684151 2
 
1.9%
454256.676715286 2
 
1.9%
457471.830193982 2
 
1.9%
454721.505180141 2
 
1.9%
456497.23873474 1
 
0.9%
453284.277036181 1
 
0.9%
454321.970467035 1
 
0.9%
454718.705930338 1
 
0.9%
Other values (84) 84
78.5%
(Missing) 5
 
4.7%
ValueCountFrequency (%)
452935.221547454 1
0.9%
452980.344046833 1
0.9%
453114.709951076 1
0.9%
453133.168355796 1
0.9%
453284.277036181 1
0.9%
453316.41283743 1
0.9%
453316.493816784 1
0.9%
453374.992934742 1
0.9%
453383.383432 1
0.9%
453806.224818675 1
0.9%
ValueCountFrequency (%)
457579.21641655 1
0.9%
457471.830193982 2
1.9%
457265.878662351 1
0.9%
457011.959880905 1
0.9%
456982.89014801 1
0.9%
456980.814825515 1
0.9%
456917.436881773 1
0.9%
456718.475341237 1
0.9%
456497.23873474 1
0.9%
456463.897651861 1
0.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
영화제작업
86 
<NA>
21 

Length

Max length5
Median length5
Mean length4.8037383
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 86
80.4%
<NA> 21
 
19.6%

Length

2024-05-11T04:35:43.432038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:43.843317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 86
80.4%
na 21
 
19.6%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
104 
0
 
3

Length

Max length4
Median length4
Mean length3.9158879
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
97.2%
0 3
 
2.8%

Length

2024-05-11T04:35:44.335017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:44.710691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
97.2%
0 3
 
2.8%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
104 
0
 
3

Length

Max length4
Median length4
Mean length3.9158879
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
97.2%
0 3
 
2.8%

Length

2024-05-11T04:35:45.075240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:45.464078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
97.2%
0 3
 
2.8%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
104 
0
 
3

Length

Max length4
Median length4
Mean length3.9158879
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
97.2%
0 3
 
2.8%

Length

2024-05-11T04:35:45.833019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:46.241440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
97.2%
0 3
 
2.8%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
104 
0
 
3

Length

Max length4
Median length4
Mean length3.9158879
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
97.2%
0 3
 
2.8%

Length

2024-05-11T04:35:46.860756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:47.216352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
97.2%
0 3
 
2.8%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
104 
0
 
3

Length

Max length4
Median length4
Mean length3.9158879
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
97.2%
0 3
 
2.8%

Length

2024-05-11T04:35:47.597960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:48.000476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
97.2%
0 3
 
2.8%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
104 
0
 
3

Length

Max length4
Median length4
Mean length3.9158879
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
97.2%
0 3
 
2.8%

Length

2024-05-11T04:35:48.362273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:48.725648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
97.2%
0 3
 
2.8%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
104 
0
 
3

Length

Max length4
Median length4
Mean length3.9158879
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
97.2%
0 3
 
2.8%

Length

2024-05-11T04:35:49.150818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:49.593338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
97.2%
0 3
 
2.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
104 
0
 
3

Length

Max length4
Median length4
Mean length3.9158879
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
97.2%
0 3
 
2.8%

Length

2024-05-11T04:35:50.106072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:50.474704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
97.2%
0 3
 
2.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size988.0 B
<NA>
104 
0
 
3

Length

Max length4
Median length4
Mean length3.9158879
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 104
97.2%
0 3
 
2.8%

Length

2024-05-11T04:35:50.962299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T04:35:51.507855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 104
97.2%
0 3
 
2.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct84
Distinct (%)97.7%
Missing21
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean20114958
Minimum19730331
Maximum20220117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-05-11T04:35:52.205423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19730331
5-th percentile19993223
Q120080575
median20130966
Q320180389
95-th percentile20200621
Maximum20220117
Range489786
Interquartile range (IQR)99813.75

Descriptive statistics

Standard deviation79559.043
Coefficient of variation (CV)0.0039552179
Kurtosis5.0195481
Mean20114958
Median Absolute Deviation (MAD)49708.5
Skewness-1.6263926
Sum1.7298864 × 109
Variance6.3296413 × 109
MonotonicityNot monotonic
2024-05-11T04:35:52.909687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20080723 2
 
1.9%
20180625 2
 
1.9%
20220117 1
 
0.9%
20210924 1
 
0.9%
20180417 1
 
0.9%
20180305 1
 
0.9%
20171108 1
 
0.9%
20170608 1
 
0.9%
20170426 1
 
0.9%
20160608 1
 
0.9%
Other values (74) 74
69.2%
(Missing) 21
 
19.6%
ValueCountFrequency (%)
19730331 1
0.9%
19950510 1
0.9%
19990611 1
0.9%
19990703 1
0.9%
19990825 1
0.9%
20000417 1
0.9%
20000427 1
0.9%
20000518 1
0.9%
20000720 1
0.9%
20001130 1
0.9%
ValueCountFrequency (%)
20220117 1
0.9%
20210924 1
0.9%
20200831 1
0.9%
20200709 1
0.9%
20200623 1
0.9%
20200616 1
0.9%
20200527 1
0.9%
20200228 1
0.9%
20200122 1
0.9%
20200109 1
0.9%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing107
Missing (%)100.0%
Memory size1.1 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03070000CDFF521101197300000119730331<NA>1영업/정상13영업중<NA><NA><NA><NA>928-1106<NA>136054서울특별시 성북구 동선동*가 **번지<NA><NA>(주)삼영필림2010-04-28 16:30:32I2018-08-31 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>19730331<NA>
13070000CDFF521101199500000119950510<NA>1영업/정상13영업중<NA><NA><NA><NA>921-7777<NA>136051서울특별시 성북구 동선동*가 **-**번지<NA><NA>(주)동양미디어2010-04-28 17:18:09I2018-08-31 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>19950510<NA>
23070000CDFF521101199900000119990611<NA>1영업/정상13영업중<NA><NA><NA><NA>929-3760<NA>136036서울특별시 성북구 동소문동*가 **-*번지 청송빌딩 *층서울특별시 성북구 동소문로**나길 **-** (동소문동*가)136036D.Y.Cinema2013-01-21 09:17:15I2018-08-31 23:59:59.0<NA>201061.54149454467.955964영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990611<NA>
33070000CDFF521101199900000219990703<NA>1영업/정상13영업중<NA><NA><NA><NA>921-8915<NA>136087서울특별시 성북구 보문동*가 **번지 대경빌딩 *층서울특별시 성북구 보문로 ** (보문동*가)136087P.O.M 파워오브무비2013-01-21 09:20:14I2018-08-31 23:59:59.0<NA>201861.396106453114.709951영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990703<NA>
43070000CDFF521101199900000319990825<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>136035서울특별시 성북구 동소문동*가 ***-**번지서울특별시 성북구 동소문로**길 **-* (동소문동*가)136035에니메카2013-01-21 09:16:04I2018-08-31 23:59:59.0<NA>201372.407969454316.998154영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990825<NA>
53070000CDFF521101200000000120000417<NA>1영업/정상13영업중<NA><NA><NA><NA>921-7207<NA><NA>서울특별시 성북구 동선동*가 **번지 삼영빌딩 ***호<NA><NA>에이원무비2010-04-29 10:55:06I2018-08-31 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>20000417<NA>
63070000CDFF521101200000000220000427<NA>1영업/정상13영업중<NA><NA><NA><NA>942-5150<NA>136141서울특별시 성북구 장위동 ***-**번지서울특별시 성북구 장위로**길 ** (장위동)136141이십일세기하주택시네마2013-01-21 09:38:15I2018-08-31 23:59:59.0<NA>204008.99279457011.959881영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000427<NA>
73070000CDFF521101200000000320000518<NA>1영업/정상13영업중<NA><NA><NA><NA>924-0161<NA><NA>서울특별시 성북구 보문동*가 ***-*번지서울특별시 성북구 보문로 ** (보문동*가)136087(주)비케이시네마2011-10-30 14:45:01I2018-08-31 23:59:59.0<NA>201919.028642452980.344047영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000518<NA>
83070000CDFF521101200000000420000720<NA>1영업/정상13영업중<NA><NA><NA><NA>929-6288<NA>136034서울특별시 성북구 동소문동*가 ***-*번지 백호빌딩 *층서울특별시 성북구 동소문로**길 **-* (동소문동*가)136034(주)가원인터내셔널2013-01-21 09:14:56I2018-08-31 23:59:59.0<NA>200955.861807454578.88199영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20000720<NA>
93070000CDFF521101200000000520001130<NA>1영업/정상13영업중<NA><NA><NA><NA>943-0526<NA>136100서울특별시 성북구 정릉동 ***-***번지 ***호<NA><NA>잡종강세필름2010-04-29 11:42:17I2018-08-31 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>20001130<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
973070000CDFF521101202200000620221012<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 돈암동 ***-* 한신한진아파트서울특별시 성북구 성북로*길 **, ***동 ****호 (돈암동, 한신한진아파트)2831이스트위시2022-10-12 17:52:31I2021-10-30 23:04:00.0<NA>200841.72699454721.50518<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
983070000CDFF52110120220000072016-07-28<NA>5제외/삭제/전출15전출2023-04-14<NA><NA><NA><NA><NA><NA>서울특별시 성북구 성북동 ***-*서울특별시 성북구 성북로**길 **, *층 *호 (성북동)2835리얼곤시네마2023-04-14 13:13:00U2022-12-03 23:06:00.0<NA>200325.98108454554.852971<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
993070000CDFF52110120230000022015-12-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 안암동*가 ***-** 淸坪 *층 *호서울특별시 성북구 개운사길 **, 淸坪 *층 *호 (안암동*가)2842(주)영화사장춘2023-02-06 13:49:54U2022-12-02 00:08:00.0<NA>202532.446744453873.457422<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1003070000CDFF52110120230000032023-02-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 ***-* ***호서울특별시 성북구 돌곶이로**길 **, ***호 (석관동)2783안게으른 스튜디오(애니매이션 제작업)2023-02-10 16:41:41I2022-12-01 23:02:00.0<NA>205313.481691456497.238735<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1013070000CDFF52110120230000052023-09-01<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 동소문동*가 **서울특별시 성북구 동소문로*길 **-* (동소문동*가)2860루프탑하우스2023-09-05 10:34:37U2022-12-09 00:07:00.0<NA>200625.505863454032.439613<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1023070000CDFF52110120230000062023-09-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 종암동 **-**서울특별시 성북구 종암로**길 **-**, ***호 (종암동)2810주식회사 스튜디오투유2023-09-22 14:27:48I2022-12-08 22:04:00.0<NA>202954.473823454945.633209<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1033070000CDFF52110120230000072023-11-03<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 성북동*가 **-**서울특별시 성북구 성북로 *-**, 지하 *층 (성북동*가)2880얄라2023-11-03 14:01:52I2022-11-01 00:05:00.0<NA>200392.968249454018.683197<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1043070000CDFF52110120240000012024-01-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 석관동 ***-*서울특별시 성북구 돌곶이로 **-** (석관동)2784영화사 흥2024-01-22 17:44:26I2023-11-30 22:04:00.0<NA>205153.532829456400.528902<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1053070000CDFF52110120240000022024-02-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 보문동*가 **서울특별시 성북구 보문로**가길 *-*, ***호 (보문동*가)2873영화사 한가람2024-02-14 17:40:54I2023-12-01 23:07:00.0<NA>201783.7266453133.168356<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1063070000CDFF52110120240000032024-02-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성북구 길음동 **** 길음동동부센트레빌아파트서울특별시 성북구 숭인로*길 **, ***동 ***호 (길음동, 길음동동부센트레빌아파트)2726영화사플롯디자인2024-02-26 08:53:39I2023-12-01 22:09:00.0<NA>202073.752573456449.070674<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>