Overview

Dataset statistics

Number of variables56
Number of observations28
Missing cells808
Missing cells (%)51.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 KiB
Average record size in memory494.7 B

Variable types

Categorical16
Text6
DateTime4
Unsupported27
Numeric3

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
Author마포구
URLhttps://data.seoul.go.kr/dataList/OA-17690/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
통로너비 is highly imbalanced (62.9%)Imbalance
조명시설조도 is highly imbalanced (62.9%)Imbalance
노래방실수 is highly imbalanced (62.9%)Imbalance
청소년실수 is highly imbalanced (62.9%)Imbalance
총게임기수 is highly imbalanced (62.9%)Imbalance
인허가취소일자 has 28 (100.0%) missing valuesMissing
폐업일자 has 17 (60.7%) missing valuesMissing
휴업시작일자 has 28 (100.0%) missing valuesMissing
휴업종료일자 has 28 (100.0%) missing valuesMissing
재개업일자 has 28 (100.0%) missing valuesMissing
전화번호 has 15 (53.6%) missing valuesMissing
소재지면적 has 28 (100.0%) missing valuesMissing
소재지우편번호 has 28 (100.0%) missing valuesMissing
도로명주소 has 1 (3.6%) missing valuesMissing
도로명우편번호 has 6 (21.4%) missing valuesMissing
업태구분명 has 28 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.6%) missing valuesMissing
좌표정보(Y) has 1 (3.6%) missing valuesMissing
문화사업자구분명 has 28 (100.0%) missing valuesMissing
주변환경명 has 28 (100.0%) missing valuesMissing
제작취급품목내용 has 28 (100.0%) missing valuesMissing
건물용도명 has 28 (100.0%) missing valuesMissing
비상계단여부 has 28 (100.0%) missing valuesMissing
비상구여부 has 28 (100.0%) missing valuesMissing
자동환기여부 has 28 (100.0%) missing valuesMissing
청소년실여부 has 28 (100.0%) missing valuesMissing
특수조명여부 has 28 (100.0%) missing valuesMissing
방음시설여부 has 28 (100.0%) missing valuesMissing
비디오재생기명 has 28 (100.0%) missing valuesMissing
조명시설유무 has 28 (100.0%) missing valuesMissing
음향시설여부 has 28 (100.0%) missing valuesMissing
편의시설여부 has 28 (100.0%) missing valuesMissing
소방시설여부 has 28 (100.0%) missing valuesMissing
기존게임업외업종명 has 28 (100.0%) missing valuesMissing
제공게임물명 has 28 (100.0%) missing valuesMissing
공연장형태구분명 has 28 (100.0%) missing valuesMissing
품목명 has 28 (100.0%) missing valuesMissing
최초등록시점 has 11 (39.3%) missing valuesMissing
지역구분명 has 28 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 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
소재지우편번호 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 05:47:36.725675
Analysis finished2024-05-11 05:47:37.552055
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
3130000
28 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3130000
2nd row3130000
3rd row3130000
4th row3130000
5th row3130000

Common Values

ValueCountFrequency (%)
3130000 28
100.0%

Length

2024-05-11T14:47:37.660097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:37.813256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 28
100.0%

관리번호
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T14:47:38.069159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters560
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

Unique28 ?
Unique (%)100.0%

Sample

1st rowCDFF5211042005000001
2nd rowCDFF5211042007000001
3rd rowCDFF5211042007000002
4th rowCDFF5211042008000001
5th rowCDFF5211042008000002
ValueCountFrequency (%)
cdff5211042005000001 1
 
3.6%
cdff5211042007000001 1
 
3.6%
cdff5211042022000002 1
 
3.6%
cdff5211042022000001 1
 
3.6%
cdff5211042020000003 1
 
3.6%
cdff5211042020000002 1
 
3.6%
cdff5211042020000001 1
 
3.6%
cdff5211042019000003 1
 
3.6%
cdff5211042019000002 1
 
3.6%
cdff5211042018000001 1
 
3.6%
Other values (18) 18
64.3%
2024-05-11T14:47:38.566846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 208
37.1%
1 87
15.5%
2 76
 
13.6%
F 56
 
10.0%
5 32
 
5.7%
4 31
 
5.5%
C 28
 
5.0%
D 28
 
5.0%
3 4
 
0.7%
7 3
 
0.5%
Other values (3) 7
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 448
80.0%
Uppercase Letter 112
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 208
46.4%
1 87
19.4%
2 76
 
17.0%
5 32
 
7.1%
4 31
 
6.9%
3 4
 
0.9%
7 3
 
0.7%
8 3
 
0.7%
9 3
 
0.7%
6 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 56
50.0%
C 28
25.0%
D 28
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 448
80.0%
Latin 112
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 208
46.4%
1 87
19.4%
2 76
 
17.0%
5 32
 
7.1%
4 31
 
6.9%
3 4
 
0.9%
7 3
 
0.7%
8 3
 
0.7%
9 3
 
0.7%
6 1
 
0.2%
Latin
ValueCountFrequency (%)
F 56
50.0%
C 28
25.0%
D 28
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 208
37.1%
1 87
15.5%
2 76
 
13.6%
F 56
 
10.0%
5 32
 
5.7%
4 31
 
5.5%
C 28
 
5.0%
D 28
 
5.0%
3 4
 
0.7%
7 3
 
0.5%
Other values (3) 7
 
1.2%

인허가일자
Date

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2005-03-11 00:00:00
Maximum2024-04-15 00:00:00
2024-05-11T14:47:38.775669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:38.981565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
1
17 
3
8 
5
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 17
60.7%
3 8
28.6%
5 3
 
10.7%

Length

2024-05-11T14:47:39.195860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:39.376549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 17
60.7%
3 8
28.6%
5 3
 
10.7%

영업상태명
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
영업/정상
17 
폐업
8 
제외/삭제/전출
3 

Length

Max length8
Median length5
Mean length4.4642857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 17
60.7%
폐업 8
28.6%
제외/삭제/전출 3
 
10.7%

Length

2024-05-11T14:47:39.616361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:40.203324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 17
60.7%
폐업 8
28.6%
제외/삭제/전출 3
 
10.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
13
17 
3
8 
15
3 

Length

Max length2
Median length2
Mean length1.7142857
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 17
60.7%
3 8
28.6%
15 3
 
10.7%

Length

2024-05-11T14:47:40.381192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:40.564504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 17
60.7%
3 8
28.6%
15 3
 
10.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
영업중
17 
폐업
8 
전출
3 

Length

Max length3
Median length3
Mean length2.6071429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 17
60.7%
폐업 8
28.6%
전출 3
 
10.7%

Length

2024-05-11T14:47:40.739277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:40.896188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 17
60.7%
폐업 8
28.6%
전출 3
 
10.7%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing17
Missing (%)60.7%
Memory size356.0 B
Minimum2011-01-19 00:00:00
Maximum2023-09-06 00:00:00
2024-05-11T14:47:41.052630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:41.250533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

전화번호
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing15
Missing (%)53.6%
Memory size356.0 B
2024-05-11T14:47:41.544769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.923077
Min length8

Characters and Unicode

Total characters142
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

Unique13 ?
Unique (%)100.0%

Sample

1st row711-1266
2nd row02-325-5858
3rd row02-3153-2001
4th row070-8260-3661
5th row6939-8053
ValueCountFrequency (%)
711-1266 1
 
7.7%
02-325-5858 1
 
7.7%
02-3153-2001 1
 
7.7%
070-8260-3661 1
 
7.7%
6939-8053 1
 
7.7%
2146-0700 1
 
7.7%
02-6395-3926 1
 
7.7%
070-7791-1629 1
 
7.7%
02-332-8482 1
 
7.7%
02-539-2010 1
 
7.7%
Other values (3) 3
23.1%
2024-05-11T14:47:42.237920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26
18.3%
- 22
15.5%
2 17
12.0%
3 16
11.3%
7 12
8.5%
1 12
8.5%
6 12
8.5%
5 8
 
5.6%
9 8
 
5.6%
8 7
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 120
84.5%
Dash Punctuation 22
 
15.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
21.7%
2 17
14.2%
3 16
13.3%
7 12
10.0%
1 12
10.0%
6 12
10.0%
5 8
 
6.7%
9 8
 
6.7%
8 7
 
5.8%
4 2
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 142
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26
18.3%
- 22
15.5%
2 17
12.0%
3 16
11.3%
7 12
8.5%
1 12
8.5%
6 12
8.5%
5 8
 
5.6%
9 8
 
5.6%
8 7
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 142
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26
18.3%
- 22
15.5%
2 17
12.0%
3 16
11.3%
7 12
8.5%
1 12
8.5%
6 12
8.5%
5 8
 
5.6%
9 8
 
5.6%
8 7
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

지번주소
Text

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T14:47:42.588387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length29
Mean length25.285714
Min length17

Characters and Unicode

Total characters708
Distinct characters93
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)92.9%

Sample

1st row서울특별시 마포구 공덕동 79-17번지 4층410호
2nd row서울특별시 마포구 서교동 367-5
3rd row서울특별시 마포구 동교동 165-8번지 엘지팰리스 805호
4th row서울특별시 마포구 서교동 376-11번지
5th row서울특별시 마포구 상암동 1602 디엠씨단지 1602 문화콘텐츠센타
ValueCountFrequency (%)
서울특별시 28
20.6%
마포구 28
20.6%
동교동 7
 
5.1%
상암동 5
 
3.7%
서교동 4
 
2.9%
공덕동 3
 
2.2%
성산동 2
 
1.5%
116-1 2
 
1.5%
166-14 2
 
1.5%
1602 2
 
1.5%
Other values (49) 53
39.0%
2024-05-11T14:47:43.091921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123
17.4%
1 45
 
6.4%
동 40
 
5.6%
서 33
 
4.7%
울 29
 
4.1%
시 28
 
4.0%
별 28
 
4.0%
마 28
 
4.0%
포 28
 
4.0%
구 28
 
4.0%
Other values (83) 298
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 420
59.3%
Decimal Number 141
 
19.9%
Space Separator 123
 
17.4%
Dash Punctuation 20
 
2.8%
Uppercase Letter 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
 
9.5%
서 33
 
7.9%
울 29
 
6.9%
시 28
 
6.7%
별 28
 
6.7%
마 28
 
6.7%
포 28
 
6.7%
구 28
 
6.7%
특 28
 
6.7%
지 13
 
3.1%
Other values (67) 137
32.6%
Decimal Number
ValueCountFrequency (%)
1 45
31.9%
5 18
 
12.8%
6 17
 
12.1%
0 12
 
8.5%
2 10
 
7.1%
3 10
 
7.1%
4 9
 
6.4%
7 7
 
5.0%
9 7
 
5.0%
8 6
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
G 1
25.0%
I 1
25.0%
T 1
25.0%
Space Separator
ValueCountFrequency (%)
123
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 420
59.3%
Common 284
40.1%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
 
9.5%
서 33
 
7.9%
울 29
 
6.9%
시 28
 
6.7%
별 28
 
6.7%
마 28
 
6.7%
포 28
 
6.7%
구 28
 
6.7%
특 28
 
6.7%
지 13
 
3.1%
Other values (67) 137
32.6%
Common
ValueCountFrequency (%)
123
43.3%
1 45
 
15.8%
- 20
 
7.0%
5 18
 
6.3%
6 17
 
6.0%
0 12
 
4.2%
2 10
 
3.5%
3 10
 
3.5%
4 9
 
3.2%
7 7
 
2.5%
Other values (2) 13
 
4.6%
Latin
ValueCountFrequency (%)
L 1
25.0%
G 1
25.0%
I 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 420
59.3%
ASCII 288
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123
42.7%
1 45
 
15.6%
- 20
 
6.9%
5 18
 
6.2%
6 17
 
5.9%
0 12
 
4.2%
2 10
 
3.5%
3 10
 
3.5%
4 9
 
3.1%
7 7
 
2.4%
Other values (6) 17
 
5.9%
Hangul
ValueCountFrequency (%)
동 40
 
9.5%
서 33
 
7.9%
울 29
 
6.9%
시 28
 
6.7%
별 28
 
6.7%
마 28
 
6.7%
포 28
 
6.7%
구 28
 
6.7%
특 28
 
6.7%
지 13
 
3.1%
Other values (67) 137
32.6%

도로명주소
Text

MISSING 

Distinct25
Distinct (%)92.6%
Missing1
Missing (%)3.6%
Memory size356.0 B
2024-05-11T14:47:43.467719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length38
Mean length34
Min length23

Characters and Unicode

Total characters918
Distinct characters118
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)85.2%

Sample

1st row서울특별시 마포구 어울마당로 65 (서교동)
2nd row서울특별시 마포구 양화로 156 (동교동,엘지팰리스 805호)
3rd row서울특별시 마포구 잔다리로 68 (서교동)
4th row서울특별시 마포구 월드컵북로 400, 1층 (상암동, 문화콘텐츠센터)
5th row서울특별시 마포구 만리재옛길 65-6 (공덕동,2층)
ValueCountFrequency (%)
서울특별시 27
 
15.2%
마포구 27
 
15.2%
동교동 6
 
3.4%
양화로 5
 
2.8%
상암동 5
 
2.8%
서교동 4
 
2.2%
3층 4
 
2.2%
월드컵북로 4
 
2.2%
156 3
 
1.7%
매봉산로 2
 
1.1%
Other values (77) 91
51.1%
2024-05-11T14:47:44.032716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
 
16.8%
동 40
 
4.4%
서 33
 
3.6%
, 32
 
3.5%
1 29
 
3.2%
울 29
 
3.2%
마 28
 
3.1%
( 27
 
2.9%
) 27
 
2.9%
구 27
 
2.9%
Other values (108) 492
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 531
57.8%
Space Separator 154
 
16.8%
Decimal Number 137
 
14.9%
Other Punctuation 32
 
3.5%
Open Punctuation 27
 
2.9%
Close Punctuation 27
 
2.9%
Dash Punctuation 5
 
0.5%
Uppercase Letter 4
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 40
 
7.5%
서 33
 
6.2%
울 29
 
5.5%
마 28
 
5.3%
구 27
 
5.1%
포 27
 
5.1%
시 27
 
5.1%
별 27
 
5.1%
특 27
 
5.1%
로 26
 
4.9%
Other values (88) 240
45.2%
Decimal Number
ValueCountFrequency (%)
1 29
21.2%
0 18
13.1%
2 17
12.4%
4 16
11.7%
5 15
10.9%
6 12
8.8%
3 9
 
6.6%
8 8
 
5.8%
7 8
 
5.8%
9 5
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
L 1
25.0%
G 1
25.0%
I 1
25.0%
T 1
25.0%
Space Separator
ValueCountFrequency (%)
154
100.0%
Other Punctuation
ValueCountFrequency (%)
, 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 531
57.8%
Common 383
41.7%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 40
 
7.5%
서 33
 
6.2%
울 29
 
5.5%
마 28
 
5.3%
구 27
 
5.1%
포 27
 
5.1%
시 27
 
5.1%
별 27
 
5.1%
특 27
 
5.1%
로 26
 
4.9%
Other values (88) 240
45.2%
Common
ValueCountFrequency (%)
154
40.2%
, 32
 
8.4%
1 29
 
7.6%
( 27
 
7.0%
) 27
 
7.0%
0 18
 
4.7%
2 17
 
4.4%
4 16
 
4.2%
5 15
 
3.9%
6 12
 
3.1%
Other values (6) 36
 
9.4%
Latin
ValueCountFrequency (%)
L 1
25.0%
G 1
25.0%
I 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 531
57.8%
ASCII 387
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
39.8%
, 32
 
8.3%
1 29
 
7.5%
( 27
 
7.0%
) 27
 
7.0%
0 18
 
4.7%
2 17
 
4.4%
4 16
 
4.1%
5 15
 
3.9%
6 12
 
3.1%
Other values (10) 40
 
10.3%
Hangul
ValueCountFrequency (%)
동 40
 
7.5%
서 33
 
6.2%
울 29
 
5.5%
마 28
 
5.3%
구 27
 
5.1%
포 27
 
5.1%
시 27
 
5.1%
별 27
 
5.1%
특 27
 
5.1%
로 26
 
4.9%
Other values (88) 240
45.2%

도로명우편번호
Text

MISSING 

Distinct19
Distinct (%)86.4%
Missing6
Missing (%)21.4%
Memory size356.0 B
2024-05-11T14:47:44.308468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.3181818
Min length5

Characters and Unicode

Total characters117
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

Unique16 ?
Unique (%)72.7%

Sample

1st row03925
2nd row121835
3rd row03975
4th row04185
5th row04051
ValueCountFrequency (%)
03925 2
 
9.1%
04051 2
 
9.1%
04162 2
 
9.1%
04021 1
 
4.5%
04185 1
 
4.5%
03975 1
 
4.5%
121-915 1
 
4.5%
121030 1
 
4.5%
121754 1
 
4.5%
121-270 1
 
4.5%
Other values (9) 9
40.9%
2024-05-11T14:47:44.733413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30
25.6%
1 19
16.2%
4 14
12.0%
2 12
 
10.3%
5 11
 
9.4%
3 10
 
8.5%
9 8
 
6.8%
7 4
 
3.4%
8 4
 
3.4%
6 3
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
98.3%
Dash Punctuation 2
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
26.1%
1 19
16.5%
4 14
12.2%
2 12
 
10.4%
5 11
 
9.6%
3 10
 
8.7%
9 8
 
7.0%
7 4
 
3.5%
8 4
 
3.5%
6 3
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 117
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30
25.6%
1 19
16.2%
4 14
12.0%
2 12
 
10.3%
5 11
 
9.4%
3 10
 
8.5%
9 8
 
6.8%
7 4
 
3.4%
8 4
 
3.4%
6 3
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 117
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30
25.6%
1 19
16.2%
4 14
12.0%
2 12
 
10.3%
5 11
 
9.4%
3 10
 
8.5%
9 8
 
6.8%
7 4
 
3.4%
8 4
 
3.4%
6 3
 
2.6%

사업장명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2024-05-11T14:47:44.972873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length13.5
Mean length11.214286
Min length5

Characters and Unicode

Total characters314
Distinct characters113
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row㈜이모션픽처스
2nd row컴퍼니에스에스(주)
3rd row㈜토로스 인
4th row㈜씨네투엠
5th row한국영상자료원
ValueCountFrequency (%)
주식회사 8
 
18.2%
㈜이모션픽처스 1
 
2.3%
브레이브브라더스컨텐츠 1
 
2.3%
무비다이브 1
 
2.3%
사)서울국제여성영화제 1
 
2.3%
두리번 1
 
2.3%
뉴트리텔 1
 
2.3%
초아커뮤니케이션 1
 
2.3%
나름커뮤니케이션 1
 
2.3%
주)인디플러그 1
 
2.3%
Other values (27) 27
61.4%
2024-05-11T14:47:45.453295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 18
 
5.7%
16
 
5.1%
) 13
 
4.1%
( 13
 
4.1%
사 12
 
3.8%
이 12
 
3.8%
스 10
 
3.2%
회 9
 
2.9%
식 8
 
2.5%
영 8
 
2.5%
Other values (103) 195
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 268
85.4%
Space Separator 16
 
5.1%
Close Punctuation 13
 
4.1%
Open Punctuation 13
 
4.1%
Other Symbol 4
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
6.7%
사 12
 
4.5%
이 12
 
4.5%
스 10
 
3.7%
회 9
 
3.4%
식 8
 
3.0%
영 8
 
3.0%
한 5
 
1.9%
트 5
 
1.9%
화 5
 
1.9%
Other values (99) 176
65.7%
Space Separator
ValueCountFrequency (%)
16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 272
86.6%
Common 42
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
6.6%
사 12
 
4.4%
이 12
 
4.4%
스 10
 
3.7%
회 9
 
3.3%
식 8
 
2.9%
영 8
 
2.9%
한 5
 
1.8%
트 5
 
1.8%
화 5
 
1.8%
Other values (100) 180
66.2%
Common
ValueCountFrequency (%)
16
38.1%
) 13
31.0%
( 13
31.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 268
85.4%
ASCII 42
 
13.4%
None 4
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 18
 
6.7%
사 12
 
4.5%
이 12
 
4.5%
스 10
 
3.7%
회 9
 
3.4%
식 8
 
3.0%
영 8
 
3.0%
한 5
 
1.9%
트 5
 
1.9%
화 5
 
1.9%
Other values (99) 176
65.7%
ASCII
ValueCountFrequency (%)
16
38.1%
) 13
31.0%
( 13
31.0%
None
ValueCountFrequency (%)
㈜ 4
100.0%

최종수정일자
Date

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2010-05-24 13:30:10
Maximum2024-04-17 16:38:40
2024-05-11T14:47:45.616930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:45.770279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

데이터갱신구분
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
U
15 
I
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 15
53.6%
I 13
46.4%

Length

2024-05-11T14:47:45.899697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:46.028063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 15
53.6%
i 13
46.4%

데이터갱신일자
Date

Distinct20
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-05-11T14:47:46.140153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:47:46.281204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)85.2%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean193092.99
Minimum189857.57
Maximum196286.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T14:47:46.443219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum189857.57
5-th percentile190142.52
Q1192208.83
median193166.43
Q3194245.28
95-th percentile196221.02
Maximum196286.51
Range6428.9456
Interquartile range (IQR)2036.4466

Descriptive statistics

Standard deviation1907.9003
Coefficient of variation (CV)0.0098807331
Kurtosis-0.59037279
Mean193092.99
Median Absolute Deviation (MAD)1121.0022
Skewness0.030337893
Sum5213510.7
Variance3640083.5
MonotonicityNot monotonic
2024-05-11T14:47:46.693335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
193166.430144679 3
 
10.7%
193282.130799848 2
 
7.1%
194655.481709453 2
 
7.1%
196204.007918247 1
 
3.6%
190125.564768858 1
 
3.6%
193835.069792014 1
 
3.6%
192426.185942662 1
 
3.6%
193468.057882255 1
 
3.6%
192045.42790023 1
 
3.6%
193089.691548032 1
 
3.6%
Other values (13) 13
46.4%
ValueCountFrequency (%)
189857.566447564 1
3.6%
190125.564768858 1
3.6%
190182.067334395 1
3.6%
190293.979873354 1
3.6%
190471.090857691 1
3.6%
191774.194653821 1
3.6%
192045.42790023 1
3.6%
192372.230365058 1
3.6%
192426.185942662 1
3.6%
192610.920312655 1
3.6%
ValueCountFrequency (%)
196286.512049256 1
 
3.6%
196228.311483715 1
 
3.6%
196204.007918247 1
 
3.6%
195874.639172861 1
 
3.6%
195305.845754649 1
 
3.6%
194655.481709453 2
7.1%
193835.069792014 1
 
3.6%
193468.057882255 1
 
3.6%
193282.130799848 2
7.1%
193166.430144679 3
10.7%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)85.2%
Missing1
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean450610.53
Minimum448854.59
Maximum453271.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T14:47:46.887573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448854.59
5-th percentile448902.99
Q1449712.78
median450395.24
Q3451125.77
95-th percentile453126.22
Maximum453271.2
Range4416.6047
Interquartile range (IQR)1412.9851

Descriptive statistics

Standard deviation1331.4597
Coefficient of variation (CV)0.0029547904
Kurtosis-0.16095153
Mean450610.53
Median Absolute Deviation (MAD)692.33036
Skewness0.88893299
Sum12166484
Variance1772784.9
MonotonicityNot monotonic
2024-05-11T14:47:47.097437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
450425.852790862 3
 
10.7%
450549.280167182 2
 
7.1%
448854.594112514 2
 
7.1%
449702.914386623 1
 
3.6%
453090.149821248 1
 
3.6%
450245.936588746 1
 
3.6%
451085.062707209 1
 
3.6%
451166.472109548 1
 
3.6%
450395.244742869 1
 
3.6%
449609.54332056 1
 
3.6%
Other values (13) 13
46.4%
ValueCountFrequency (%)
448854.594112514 2
7.1%
449015.903404686 1
3.6%
449346.612463295 1
3.6%
449484.760596982 1
3.6%
449609.54332056 1
3.6%
449702.914386623 1
3.6%
449722.650329158 1
3.6%
449862.465821234 1
3.6%
450064.132463142 1
3.6%
450094.64340291 1
3.6%
ValueCountFrequency (%)
453271.198852486 1
 
3.6%
453141.676626027 1
 
3.6%
453090.149821248 1
 
3.6%
452911.904225602 1
 
3.6%
452694.976414446 1
 
3.6%
451313.770759232 1
 
3.6%
451166.472109548 1
 
3.6%
451085.062707209 1
 
3.6%
450549.280167182 2
7.1%
450425.852790862 3
10.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
영화상영업
17 
<NA>
11 

Length

Max length5
Median length5
Mean length4.6071429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 17
60.7%
<NA> 11
39.3%

Length

2024-05-11T14:47:47.277328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:47.462034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 17
60.7%
na 11
39.3%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

총층수
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
22 
0
6 

Length

Max length4
Median length4
Mean length3.3571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
78.6%
0 6
 
21.4%

Length

2024-05-11T14:47:47.624213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:47.755592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
78.6%
0 6
 
21.4%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

시설면적
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
22 
0
6 

Length

Max length4
Median length4
Mean length3.3571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
78.6%
0 6
 
21.4%

Length

2024-05-11T14:47:47.896329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:48.019753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
78.6%
0 6
 
21.4%

지상층수
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
22 
0
6 

Length

Max length4
Median length4
Mean length3.3571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
78.6%
0 6
 
21.4%

Length

2024-05-11T14:47:48.154052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:48.278302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
78.6%
0 6
 
21.4%

지하층수
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
22 
0
6 

Length

Max length4
Median length4
Mean length3.3571429
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
78.6%
0 6
 
21.4%

Length

2024-05-11T14:47:48.414187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:48.539263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
78.6%
0 6
 
21.4%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-05-11T14:47:48.685851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:48.815332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-05-11T14:47:48.986413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:49.124971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-05-11T14:47:49.229921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:49.332547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-05-11T14:47:49.446703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:49.545420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
<NA>
26 
0
 
2

Length

Max length4
Median length4
Mean length3.7857143
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> 26
92.9%
0 2
 
7.1%

Length

2024-05-11T14:47:49.658463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:47:49.765535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
92.9%
0 2
 
7.1%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)94.1%
Missing11
Missing (%)39.3%
Infinite0
Infinite (%)0.0%
Mean20119439
Minimum20050311
Maximum20200818
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2024-05-11T14:47:49.864379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050311
5-th percentile20066725
Q120090807
median20110415
Q320140205
95-th percentile20192815
Maximum20200818
Range150507
Interquartile range (IQR)49398

Descriptive statistics

Standard deviation44439.33
Coefficient of variation (CV)0.0022087758
Kurtosis-0.6638123
Mean20119439
Median Absolute Deviation (MAD)29790
Skewness0.49622672
Sum3.4203046 × 108
Variance1.9748541 × 109
MonotonicityNot monotonic
2024-05-11T14:47:50.007537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20120323 2
 
7.1%
20200818 1
 
3.6%
20190814 1
 
3.6%
20180405 1
 
3.6%
20171020 1
 
3.6%
20140205 1
 
3.6%
20130318 1
 
3.6%
20050311 1
 
3.6%
20070829 1
 
3.6%
20101122 1
 
3.6%
Other values (6) 6
21.4%
(Missing) 11
39.3%
ValueCountFrequency (%)
20050311 1
3.6%
20070829 1
3.6%
20071004 1
3.6%
20080418 1
3.6%
20090807 1
3.6%
20100413 1
3.6%
20100913 1
3.6%
20101122 1
3.6%
20110415 1
3.6%
20120323 2
7.1%
ValueCountFrequency (%)
20200818 1
3.6%
20190814 1
3.6%
20180405 1
3.6%
20171020 1
3.6%
20140205 1
3.6%
20130318 1
3.6%
20120323 2
7.1%
20110415 1
3.6%
20101122 1
3.6%
20100913 1
3.6%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF521104200500000120050311<NA>1영업/정상13영업중<NA><NA><NA><NA>711-1266<NA><NA>서울특별시 마포구 공덕동 79-17번지 4층410호<NA><NA>㈜이모션픽처스2010-05-24 13:30:10I2018-08-31 23:59:59.0<NA>196204.007918449702.914387영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20050311<NA>
13130000CDFF521104200700000120070829<NA>3폐업3폐업20210127<NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 367-5서울특별시 마포구 어울마당로 65 (서교동)<NA>컴퍼니에스에스(주)2021-01-27 18:55:46U2021-01-29 02:40:00.0<NA>192952.420678449862.465821영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070829<NA>
23130000CDFF521104200700000220071004<NA>1영업/정상13영업중<NA><NA><NA><NA>02-325-5858<NA><NA>서울특별시 마포구 동교동 165-8번지 엘지팰리스 805호서울특별시 마포구 양화로 156 (동교동,엘지팰리스 805호)<NA>㈜토로스 인2010-05-24 13:30:10I2018-08-31 23:59:59.0<NA>193166.430145450425.852791영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20071004<NA>
33130000CDFF521104200800000120080418<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 376-11번지서울특별시 마포구 잔다리로 68 (서교동)<NA>㈜씨네투엠2010-05-24 13:30:10I2018-08-31 23:59:59.0<NA>192610.920313450178.982063영화상영업<NA>0<NA><NA>000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080418<NA>
43130000CDFF52110420080000022008-08-08<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3153-2001<NA><NA>서울특별시 마포구 상암동 1602 디엠씨단지 1602 문화콘텐츠센타서울특별시 마포구 월드컵북로 400, 1층 (상암동, 문화콘텐츠센터)03925한국영상자료원2024-04-02 08:51:45U2023-12-04 00:04:00.0<NA>190182.067334453141.676626<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53130000CDFF521104200900000220090807<NA>3폐업3폐업20110119<NA><NA><NA><NA><NA><NA>서울특별시 마포구 공덕동 82-9번지 2층서울특별시 마포구 만리재옛길 65-6 (공덕동,2층)<NA>독립영화 배급지원센터2011-07-16 16:10:57I2018-08-31 23:59:59.0<NA>196228.311484449722.650329영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090807<NA>
63130000CDFF521104201000000220100413<NA>3폐업3폐업20130710<NA><NA><NA><NA><NA><NA>서울특별시 마포구 상암동 1590번지 상암IT타워 10층서울특별시 마포구 월드컵북로 434, 10층 (상암동, 상암 IT타워)121835㈜프리머스시네마2013-07-10 16:05:50I2018-08-31 23:59:59.0<NA>189857.566448453271.198852영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20100413<NA>
73130000CDFF521104201000000420100913<NA>3폐업3폐업20200402<NA><NA><NA><NA><NA><NA>서울특별시 마포구 연남동 370-14번지서울특별시 마포구 연남로7길 24-11, 1층 (연남동)03975(주)조이슈즈2020-04-02 00:10:27U2020-04-04 02:40:00.0<NA>192732.41951451313.770759영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20100913<NA>
83130000CDFF521104201000000520101122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 공덕동 115-13서울특별시 마포구 만리재로 80, 3층 (공덕동)04185(주)한태교류센터 케이티씨씨2021-03-15 17:51:46U2021-03-17 02:40:00.0<NA>196286.512049449484.760597영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20101122<NA>
93130000CDFF521104201100000120110415<NA>3폐업3폐업20150526<NA><NA><NA>070-8260-3661<NA><NA>서울특별시 마포구 염리동 150번지 서울디자인고등학교내 산학협동관 에이동3호서울특별시 마포구 백범로 139 (염리동,서울디자인고등학교내 산학협동관 에이동3호)<NA>(주)가우리2015-05-26 13:56:13I2018-08-31 23:59:59.0<NA>195305.845755449346.612463영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110415<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
183130000CDFF521104201700000120171020<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6395-3926<NA><NA>서울특별시 마포구 서교동 381-5번지서울특별시 마포구 월드컵로8길 40-8 (서교동)04035주식회사 두리번2017-10-20 09:23:15I2018-08-31 23:59:59.0<NA>192372.230365450094.643403영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20171020<NA>
193130000CDFF521104201800000120180405<NA>3폐업3폐업20201127<NA><NA><NA>070-7791-1629<NA><NA>서울특별시 마포구 동교동 165-8 LG팰리스빌딩서울특별시 마포구 양화로 156, LG팰리스빌딩 1217호 (동교동)04050주식회사 뉴트리텔2020-11-27 17:56:41U2020-11-29 02:40:00.0<NA>193166.430145450425.852791영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20180405<NA>
203130000CDFF52110420190000022019-04-12<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 상수동 93-91서울특별시 마포구 와우산로11길 5-4, 초아 빌딩 (상수동)04049주식회사 초아커뮤니케이션2024-04-17 16:38:40U2023-12-03 23:09:00.0<NA>193089.691548449609.543321<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213130000CDFF521104201900000320190814<NA>1영업/정상13영업중<NA><NA><NA><NA>02-332-8482<NA><NA>서울특별시 마포구 서교동 475-13번지 원천빌딩서울특별시 마포구 월드컵로 74, 원천빌딩 601호 (서교동)04004나름커뮤니케이션 주식회사2019-08-14 15:10:26I2019-08-16 02:22:03.0<NA>192045.4279450395.244743영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20190814<NA>
223130000CDFF521104202000000120200818<NA>1영업/정상13영업중<NA><NA><NA><NA>02-539-2010<NA><NA>서울특별시 마포구 용강동 116-1서울특별시 마포구 토정로 276, 2층 (용강동)04162주식회사 브레이브브라더스컨텐츠2020-08-18 20:28:50I2020-08-20 00:23:13.0<NA>194655.481709448854.594113영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20200818<NA>
233130000CDFF52110420200000022009-09-29<NA>5제외/삭제/전출15전출2023-04-07<NA><NA><NA>070-7019-0370<NA><NA>서울특별시 마포구 연남동 226-29서울특별시 마포구 성미산로 195, 4층 402호 (연남동)03981(주)인디플러그2023-04-07 11:05:10U2022-12-04 00:09:00.0<NA>193468.057882451166.47211<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243130000CDFF521104202000000320070109<NA>5제외/삭제/전출15전출20230119<NA><NA><NA>02-3017-3572<NA><NA>서울특별시 마포구 성산동 515 월드컵주경기장서울특별시 마포구 월드컵로 240, 월드컵주경기장 지상2층 (성산동)03932메가박스중앙(주)2023-01-19 09:12:39U2022-11-30 22:01:00.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253130000CDFF521104202200000120120323<NA>1영업/정상13영업중<NA><NA><NA><NA>738-0366<NA><NA>서울특별시 마포구 동교동 166-14 동교동 스타피카소서울특별시 마포구 양화로 176, 동교동 스타피카소 8층 (동교동)04051사단법인 독립영화전용관 확대를 위한 시민모임2022-02-17 14:03:16I2022-02-19 00:22:37.0<NA>193282.1308450549.280167영화상영업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20120323<NA>
263130000CDFF52110420220000022018-08-13<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 성산동 114-15 유일빌딩서울특별시 마포구 월드컵북로 94, 유일빌딩 3층, 4층 (성산동)03978주식회사 두루두루아티스트컴퍼니2024-02-20 15:54:52U2023-12-01 22:02:00.0<NA>192426.185943451085.062707<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273130000CDFF52110420240000012024-04-15<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 창전동 5-5서울특별시 마포구 서강로9길 52, 3층 (창전동)04061(사)한국영상미디어교육협회2024-04-15 11:51:15I2023-12-03 23:07:00.0<NA>193835.069792450245.936589<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>