Overview

Dataset statistics

Number of variables56
Number of observations30
Missing cells807
Missing cells (%)48.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.5 KiB
Average record size in memory495.4 B

Variable types

Categorical19
Text5
DateTime3
Unsupported25
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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-17677/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (78.9%)Imbalance
소재지우편번호 is highly imbalanced (68.6%)Imbalance
총층수 is highly imbalanced (78.9%)Imbalance
시설면적 is highly imbalanced (78.9%)Imbalance
지상층수 is highly imbalanced (78.9%)Imbalance
지하층수 is highly imbalanced (78.9%)Imbalance
통로너비 is highly imbalanced (78.9%)Imbalance
조명시설조도 is highly imbalanced (78.9%)Imbalance
노래방실수 is highly imbalanced (78.9%)Imbalance
청소년실수 is highly imbalanced (78.9%)Imbalance
총게임기수 is highly imbalanced (78.9%)Imbalance
폐업일자 has 20 (66.7%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 12 (40.0%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
도로명주소 has 1 (3.3%) missing valuesMissing
도로명우편번호 has 14 (46.7%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
좌표정보(X) has 1 (3.3%) missing valuesMissing
좌표정보(Y) has 1 (3.3%) missing valuesMissing
문화사업자구분명 has 30 (100.0%) missing valuesMissing
주변환경명 has 30 (100.0%) missing valuesMissing
제작취급품목내용 has 30 (100.0%) missing valuesMissing
건물용도명 has 30 (100.0%) missing valuesMissing
비상계단여부 has 30 (100.0%) missing valuesMissing
비상구여부 has 30 (100.0%) missing valuesMissing
자동환기여부 has 30 (100.0%) missing valuesMissing
청소년실여부 has 30 (100.0%) missing valuesMissing
특수조명여부 has 30 (100.0%) missing valuesMissing
방음시설여부 has 30 (100.0%) missing valuesMissing
비디오재생기명 has 30 (100.0%) missing valuesMissing
조명시설유무 has 30 (100.0%) missing valuesMissing
음향시설여부 has 30 (100.0%) missing valuesMissing
편의시설여부 has 30 (100.0%) missing valuesMissing
소방시설여부 has 30 (100.0%) missing valuesMissing
기존게임업외업종명 has 30 (100.0%) missing valuesMissing
제공게임물명 has 30 (100.0%) missing valuesMissing
공연장형태구분명 has 30 (100.0%) missing valuesMissing
품목명 has 30 (100.0%) missing valuesMissing
최초등록시점 has 8 (26.7%) missing valuesMissing
지역구분명 has 30 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
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 08:31:26.894590
Analysis finished2024-05-11 08:31:28.379953
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3000000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3000000
2nd row3000000
3rd row3000000
4th row3000000
5th row3000000

Common Values

ValueCountFrequency (%)
3000000 30
100.0%

Length

2024-05-11T08:31:28.614722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:28.941942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 30
100.0%

관리번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T08:31:29.669141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters600
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

Unique30 ?
Unique (%)100.0%

Sample

1st rowCDFF5211041999000001
2nd rowCDFF5211041999000002
3rd rowCDFF5211041999000003
4th rowCDFF5211041999000004
5th rowCDFF5211041999000005
ValueCountFrequency (%)
cdff5211041999000001 1
 
3.3%
cdff5211041999000002 1
 
3.3%
cdff5211042021000002 1
 
3.3%
cdff5211042021000001 1
 
3.3%
cdff5211042020000001 1
 
3.3%
cdff5211042016000005 1
 
3.3%
cdff5211042016000004 1
 
3.3%
cdff5211042016000003 1
 
3.3%
cdff5211042015000002 1
 
3.3%
cdff5211042013000001 1
 
3.3%
Other values (20) 20
66.7%
2024-05-11T08:31:31.258039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 218
36.3%
1 95
15.8%
2 69
 
11.5%
F 60
 
10.0%
5 33
 
5.5%
4 33
 
5.5%
C 30
 
5.0%
D 30
 
5.0%
9 17
 
2.8%
3 7
 
1.2%
Other values (3) 8
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
80.0%
Uppercase Letter 120
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 218
45.4%
1 95
19.8%
2 69
 
14.4%
5 33
 
6.9%
4 33
 
6.9%
9 17
 
3.5%
3 7
 
1.5%
6 5
 
1.0%
7 2
 
0.4%
8 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 60
50.0%
C 30
25.0%
D 30
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
80.0%
Latin 120
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 218
45.4%
1 95
19.8%
2 69
 
14.4%
5 33
 
6.9%
4 33
 
6.9%
9 17
 
3.5%
3 7
 
1.5%
6 5
 
1.0%
7 2
 
0.4%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
F 60
50.0%
C 30
25.0%
D 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 218
36.3%
1 95
15.8%
2 69
 
11.5%
F 60
 
10.0%
5 33
 
5.5%
4 33
 
5.5%
C 30
 
5.0%
D 30
 
5.0%
9 17
 
2.8%
3 7
 
1.2%
Other values (3) 8
 
1.3%

인허가일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum1999-06-24 00:00:00
Maximum2021-06-14 00:00:00
2024-05-11T08:31:31.811213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:31:32.371904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
20230113
 
1

Length

Max length8
Median length4
Mean length4.1333333
Min length4

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
20230113 1
 
3.3%

Length

2024-05-11T08:31:32.952462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:33.366398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
20230113 1
 
3.3%

영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
19 
3
10 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 19
63.3%
3 10
33.3%
4 1
 
3.3%

Length

2024-05-11T08:31:33.960124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:34.361245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 19
63.3%
3 10
33.3%
4 1
 
3.3%

영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업/정상
19 
폐업
10 
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length4.3
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 19
63.3%
폐업 10
33.3%
취소/말소/만료/정지/중지 1
 
3.3%

Length

2024-05-11T08:31:34.653610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:34.900486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 19
63.3%
폐업 10
33.3%
취소/말소/만료/정지/중지 1
 
3.3%

상세영업상태코드
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
13
19 
3
10 
32
 
1

Length

Max length2
Median length2
Mean length1.6666667
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 19
63.3%
3 10
33.3%
32 1
 
3.3%

Length

2024-05-11T08:31:35.142384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:35.392560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 19
63.3%
3 10
33.3%
32 1
 
3.3%

상세영업상태명
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
영업중
19 
폐업
10 
신고취소
 
1

Length

Max length4
Median length3
Mean length2.7
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 19
63.3%
폐업 10
33.3%
신고취소 1
 
3.3%

Length

2024-05-11T08:31:35.813818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:36.182418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 19
63.3%
폐업 10
33.3%
신고취소 1
 
3.3%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing20
Missing (%)66.7%
Memory size372.0 B
Minimum2008-12-26 00:00:00
Maximum2023-11-07 00:00:00
2024-05-11T08:31:36.492500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:31:36.791883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

전화번호
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing12
Missing (%)40.0%
Memory size372.0 B
2024-05-11T08:31:37.152620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.277778
Min length8

Characters and Unicode

Total characters185
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

Unique18 ?
Unique (%)100.0%

Sample

1st row3676-8400
2nd row2001-8800
3rd row02-3672-0181
4th row747-6400
5th row031-229-3700
ValueCountFrequency (%)
3676-8400 1
 
5.6%
2001-8800 1
 
5.6%
02-797-7271 1
 
5.6%
02-3672-4233 1
 
5.6%
02)730-5604 1
 
5.6%
02-743-4667 1
 
5.6%
070-8145-3200 1
 
5.6%
3210-3358 1
 
5.6%
070-8145-3150 1
 
5.6%
733-0802 1
 
5.6%
Other values (8) 8
44.4%
2024-05-11T08:31:38.000593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 34
18.4%
- 26
14.1%
7 24
13.0%
3 23
12.4%
2 23
12.4%
1 13
 
7.0%
4 11
 
5.9%
6 10
 
5.4%
8 10
 
5.4%
5 6
 
3.2%
Other values (2) 5
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 158
85.4%
Dash Punctuation 26
 
14.1%
Close Punctuation 1
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 34
21.5%
7 24
15.2%
3 23
14.6%
2 23
14.6%
1 13
 
8.2%
4 11
 
7.0%
6 10
 
6.3%
8 10
 
6.3%
5 6
 
3.8%
9 4
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 34
18.4%
- 26
14.1%
7 24
13.0%
3 23
12.4%
2 23
12.4%
1 13
 
7.0%
4 11
 
5.9%
6 10
 
5.4%
8 10
 
5.4%
5 6
 
3.2%
Other values (2) 5
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 34
18.4%
- 26
14.1%
7 24
13.0%
3 23
12.4%
2 23
12.4%
1 13
 
7.0%
4 11
 
5.9%
6 10
 
5.4%
8 10
 
5.4%
5 6
 
3.2%
Other values (2) 5
 
2.7%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
27 
110524
 
1
110856
 
1
110776
 
1

Length

Max length6
Median length4
Mean length4.2
Min length4

Unique

Unique3 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
90.0%
110524 1
 
3.3%
110856 1
 
3.3%
110776 1
 
3.3%

Length

2024-05-11T08:31:38.519988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:38.893709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
90.0%
110524 1
 
3.3%
110856 1
 
3.3%
110776 1
 
3.3%

지번주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T08:31:39.574732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33.5
Mean length25.833333
Min length18

Characters and Unicode

Total characters775
Distinct characters115
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 돈의동 137번지
2nd row서울특별시 종로구 동숭동 1-5번지
3rd row서울특별시 종로구 낙원동 284-6
4th row서울특별시 종로구 장사동 156-1번지
5th row서울특별시 종로구 연지동 270번지
ValueCountFrequency (%)
서울특별시 30
19.7%
종로구 30
19.7%
2층 4
 
2.6%
낙원동 3
 
2.0%
신문로1가 2
 
1.3%
흥국생명빌딩 2
 
1.3%
신문로2가 2
 
1.3%
명륜3가 2
 
1.3%
연지동 2
 
1.3%
통의동 2
 
1.3%
Other values (73) 73
48.0%
2024-05-11T08:31:40.712283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
141
18.2%
로 36
 
4.6%
1 36
 
4.6%
구 31
 
4.0%
시 31
 
4.0%
종 31
 
4.0%
서 30
 
3.9%
울 30
 
3.9%
별 30
 
3.9%
특 30
 
3.9%
Other values (105) 349
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
61.9%
Space Separator 141
 
18.2%
Decimal Number 130
 
16.8%
Dash Punctuation 19
 
2.5%
Uppercase Letter 4
 
0.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 36
 
7.5%
구 31
 
6.5%
시 31
 
6.5%
종 31
 
6.5%
서 30
 
6.2%
울 30
 
6.2%
별 30
 
6.2%
특 30
 
6.2%
동 26
 
5.4%
지 23
 
4.8%
Other values (89) 182
37.9%
Decimal Number
ValueCountFrequency (%)
1 36
27.7%
2 25
19.2%
3 14
 
10.8%
5 10
 
7.7%
8 10
 
7.7%
4 10
 
7.7%
7 8
 
6.2%
6 8
 
6.2%
9 5
 
3.8%
0 4
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
61.9%
Common 291
37.5%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 36
 
7.5%
구 31
 
6.5%
시 31
 
6.5%
종 31
 
6.5%
서 30
 
6.2%
울 30
 
6.2%
별 30
 
6.2%
특 30
 
6.2%
동 26
 
5.4%
지 23
 
4.8%
Other values (89) 182
37.9%
Common
ValueCountFrequency (%)
141
48.5%
1 36
 
12.4%
2 25
 
8.6%
- 19
 
6.5%
3 14
 
4.8%
5 10
 
3.4%
8 10
 
3.4%
4 10
 
3.4%
7 8
 
2.7%
6 8
 
2.7%
Other values (3) 10
 
3.4%
Latin
ValueCountFrequency (%)
S 2
50.0%
B 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
61.9%
ASCII 295
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
141
47.8%
1 36
 
12.2%
2 25
 
8.5%
- 19
 
6.4%
3 14
 
4.7%
5 10
 
3.4%
8 10
 
3.4%
4 10
 
3.4%
7 8
 
2.7%
6 8
 
2.7%
Other values (6) 14
 
4.7%
Hangul
ValueCountFrequency (%)
로 36
 
7.5%
구 31
 
6.5%
시 31
 
6.5%
종 31
 
6.5%
서 30
 
6.2%
울 30
 
6.2%
별 30
 
6.2%
특 30
 
6.2%
동 26
 
5.4%
지 23
 
4.8%
Other values (89) 182
37.9%

도로명주소
Text

MISSING 

Distinct29
Distinct (%)100.0%
Missing1
Missing (%)3.3%
Memory size372.0 B
2024-05-11T08:31:41.526750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length31.793103
Min length22

Characters and Unicode

Total characters922
Distinct characters135
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

Unique29 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 돈화문로5가길 1 (돈의동)
2nd row서울특별시 종로구 동숭길 122 (동숭동)
3rd row서울특별시 종로구 삼일대로 428 (낙원동)
4th row서울특별시 종로구 청계천로 163 (장사동)
5th row서울특별시 종로구 종로33길 15 (연지동)
ValueCountFrequency (%)
서울특별시 29
 
16.3%
종로구 29
 
16.3%
삼일대로 4
 
2.2%
4층 3
 
1.7%
428 3
 
1.7%
연지동 2
 
1.1%
2층 2
 
1.1%
신문로2가 2
 
1.1%
68 2
 
1.1%
새문안로 2
 
1.1%
Other values (93) 100
56.2%
2024-05-11T08:31:42.702820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
155
 
16.8%
로 60
 
6.5%
종 32
 
3.5%
1 30
 
3.3%
시 30
 
3.3%
구 30
 
3.3%
서 29
 
3.1%
특 29
 
3.1%
별 29
 
3.1%
울 29
 
3.1%
Other values (125) 469
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 551
59.8%
Space Separator 155
 
16.8%
Decimal Number 123
 
13.3%
Close Punctuation 29
 
3.1%
Open Punctuation 29
 
3.1%
Other Punctuation 25
 
2.7%
Uppercase Letter 6
 
0.7%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 60
 
10.9%
종 32
 
5.8%
시 30
 
5.4%
구 30
 
5.4%
서 29
 
5.3%
특 29
 
5.3%
별 29
 
5.3%
울 29
 
5.3%
동 28
 
5.1%
길 15
 
2.7%
Other values (106) 240
43.6%
Decimal Number
ValueCountFrequency (%)
1 30
24.4%
2 27
22.0%
3 14
11.4%
4 13
10.6%
5 10
 
8.1%
8 8
 
6.5%
6 6
 
4.9%
7 6
 
4.9%
0 5
 
4.1%
9 4
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
S 2
33.3%
K 1
16.7%
A 1
16.7%
Space Separator
ValueCountFrequency (%)
155
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 551
59.8%
Common 365
39.6%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 60
 
10.9%
종 32
 
5.8%
시 30
 
5.4%
구 30
 
5.4%
서 29
 
5.3%
특 29
 
5.3%
별 29
 
5.3%
울 29
 
5.3%
동 28
 
5.1%
길 15
 
2.7%
Other values (106) 240
43.6%
Common
ValueCountFrequency (%)
155
42.5%
1 30
 
8.2%
) 29
 
7.9%
( 29
 
7.9%
2 27
 
7.4%
, 25
 
6.8%
3 14
 
3.8%
4 13
 
3.6%
5 10
 
2.7%
8 8
 
2.2%
Other values (5) 25
 
6.8%
Latin
ValueCountFrequency (%)
B 2
33.3%
S 2
33.3%
K 1
16.7%
A 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 551
59.8%
ASCII 371
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
155
41.8%
1 30
 
8.1%
) 29
 
7.8%
( 29
 
7.8%
2 27
 
7.3%
, 25
 
6.7%
3 14
 
3.8%
4 13
 
3.5%
5 10
 
2.7%
8 8
 
2.2%
Other values (9) 31
 
8.4%
Hangul
ValueCountFrequency (%)
로 60
 
10.9%
종 32
 
5.8%
시 30
 
5.4%
구 30
 
5.4%
서 29
 
5.3%
특 29
 
5.3%
별 29
 
5.3%
울 29
 
5.3%
동 28
 
5.1%
길 15
 
2.7%
Other values (106) 240
43.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)100.0%
Missing14
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean43376.875
Minimum3007
Maximum110808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T08:31:43.201289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3007
5-th percentile3034.75
Q13115
median3159
Q3110360
95-th percentile110791.5
Maximum110808
Range107801
Interquartile range (IQR)107245

Descriptive statistics

Standard deviation53691.568
Coefficient of variation (CV)1.2377924
Kurtosis-1.933968
Mean43376.875
Median Absolute Deviation (MAD)109
Skewness0.57145789
Sum694030
Variance2.8827845 × 109
MonotonicityNot monotonic
2024-05-11T08:31:43.722972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
3176 1
 
3.3%
3082 1
 
3.3%
3127 1
 
3.3%
3126 1
 
3.3%
3142 1
 
3.3%
3044 1
 
3.3%
3140 1
 
3.3%
110808 1
 
3.3%
3056 1
 
3.3%
110786 1
 
3.3%
Other values (6) 6
20.0%
(Missing) 14
46.7%
ValueCountFrequency (%)
3007 1
3.3%
3044 1
3.3%
3056 1
3.3%
3082 1
3.3%
3126 1
3.3%
3127 1
3.3%
3140 1
3.3%
3142 1
3.3%
3176 1
3.3%
3184 1
3.3%
ValueCountFrequency (%)
110808 1
3.3%
110786 1
3.3%
110530 1
3.3%
110420 1
3.3%
110340 1
3.3%
110062 1
3.3%
3184 1
3.3%
3176 1
3.3%
3142 1
3.3%
3140 1
3.3%

사업장명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-05-11T08:31:44.169598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length11.5
Mean length8.8333333
Min length2

Characters and Unicode

Total characters265
Distinct characters106
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row(주)피카디리극장
2nd row(주)동숭아트센타
3rd row(주)동아서울시네마
4th row(주)연흥아세아
5th row(재)연강재단
ValueCountFrequency (%)
주식회사 2
 
5.3%
주)피카디리극장 1
 
2.6%
주)낭만극장 1
 
2.6%
주)티캐스트콘텐츠허브 1
 
2.6%
동양예술극장 1
 
2.6%
에무 1
 
2.6%
시네마 1
 
2.6%
앤 1
 
2.6%
카페 1
 
2.6%
주)비트윈에프앤아이 1
 
2.6%
Other values (27) 27
71.1%
2024-05-11T08:31:45.362126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 20
 
7.5%
) 20
 
7.5%
주 19
 
7.2%
8
 
3.0%
스 8
 
3.0%
네 7
 
2.6%
트 7
 
2.6%
아 7
 
2.6%
마 7
 
2.6%
극 6
 
2.3%
Other values (96) 156
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 200
75.5%
Open Punctuation 20
 
7.5%
Close Punctuation 20
 
7.5%
Lowercase Letter 12
 
4.5%
Space Separator 8
 
3.0%
Uppercase Letter 3
 
1.1%
Other Punctuation 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 19
 
9.5%
스 8
 
4.0%
네 7
 
3.5%
트 7
 
3.5%
아 7
 
3.5%
마 7
 
3.5%
극 6
 
3.0%
장 5
 
2.5%
시 5
 
2.5%
동 4
 
2.0%
Other values (79) 125
62.5%
Lowercase Letter
ValueCountFrequency (%)
t 3
25.0%
o 2
16.7%
r 1
 
8.3%
i 1
 
8.3%
s 1
 
8.3%
z 1
 
8.3%
n 1
 
8.3%
e 1
 
8.3%
d 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
C 1
33.3%
L 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
, 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
75.5%
Common 50
 
18.9%
Latin 15
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 19
 
9.5%
스 8
 
4.0%
네 7
 
3.5%
트 7
 
3.5%
아 7
 
3.5%
마 7
 
3.5%
극 6
 
3.0%
장 5
 
2.5%
시 5
 
2.5%
동 4
 
2.0%
Other values (79) 125
62.5%
Latin
ValueCountFrequency (%)
t 3
20.0%
o 2
13.3%
A 1
 
6.7%
r 1
 
6.7%
i 1
 
6.7%
s 1
 
6.7%
z 1
 
6.7%
n 1
 
6.7%
e 1
 
6.7%
C 1
 
6.7%
Other values (2) 2
13.3%
Common
ValueCountFrequency (%)
( 20
40.0%
) 20
40.0%
8
 
16.0%
. 1
 
2.0%
, 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 200
75.5%
ASCII 65
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 20
30.8%
) 20
30.8%
8
 
12.3%
t 3
 
4.6%
o 2
 
3.1%
A 1
 
1.5%
r 1
 
1.5%
i 1
 
1.5%
s 1
 
1.5%
z 1
 
1.5%
Other values (7) 7
 
10.8%
Hangul
ValueCountFrequency (%)
주 19
 
9.5%
스 8
 
4.0%
네 7
 
3.5%
트 7
 
3.5%
아 7
 
3.5%
마 7
 
3.5%
극 6
 
3.0%
장 5
 
2.5%
시 5
 
2.5%
동 4
 
2.0%
Other values (79) 125
62.5%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2010-04-28 11:33:15
Maximum2024-05-07 16:35:09
2024-05-11T08:31:45.830391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T08:31:46.365281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
I
20 
U
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 20
66.7%
U 10
33.3%

Length

2024-05-11T08:31:46.822509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:47.157253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 20
66.7%
u 10
33.3%

데이터갱신일자
Categorical

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2018-08-31 23:59:59.0
19 
2022-11-01 21:01:00.0
 
1
2022-11-30 23:05:00.0
 
1
2021-12-08 23:06:00.0
 
1
2020-08-06 02:40:00.0
 
1
Other values (7)
7 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique11 ?
Unique (%)36.7%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2022-11-01 21:01:00.0
4th row2018-08-31 23:59:59.0
5th row2018-08-31 23:59:59.0

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59.0 19
63.3%
2022-11-01 21:01:00.0 1
 
3.3%
2022-11-30 23:05:00.0 1
 
3.3%
2021-12-08 23:06:00.0 1
 
3.3%
2020-08-06 02:40:00.0 1
 
3.3%
2023-12-03 22:00:00.0 1
 
3.3%
2021-12-06 21:00:00.0 1
 
3.3%
2021-09-09 02:40:00.0 1
 
3.3%
2022-11-02 00:03:00.0 1
 
3.3%
2022-10-30 22:08:00.0 1
 
3.3%
Other values (2) 2
 
6.7%

Length

2024-05-11T08:31:47.754906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2018-08-31 19
31.7%
23:59:59.0 19
31.7%
02:40:00.0 2
 
3.3%
21:00:00.0 1
 
1.7%
2023-12-05 1
 
1.7%
00:23:00.0 1
 
1.7%
2021-03-10 1
 
1.7%
22:08:00.0 1
 
1.7%
2022-10-30 1
 
1.7%
00:03:00.0 1
 
1.7%
Other values (13) 13
21.7%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)93.1%
Missing1
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean198851.06
Minimum196350.33
Maximum200291.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T08:31:48.276735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196350.33
5-th percentile197287.83
Q1197612.14
median198938.63
Q3199794.25
95-th percentile200208.96
Maximum200291.37
Range3941.0451
Interquartile range (IQR)2182.1138

Descriptive statistics

Standard deviation1107.4157
Coefficient of variation (CV)0.0055690708
Kurtosis-0.82660004
Mean198851.06
Median Absolute Deviation (MAD)1034.2532
Skewness-0.51008078
Sum5766680.8
Variance1226369.4
MonotonicityNot monotonic
2024-05-11T08:31:48.840569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
198852.959716775 2
 
6.7%
197482.205329945 2
 
6.7%
199155.542697952 1
 
3.3%
197428.923002637 1
 
3.3%
200059.357458161 1
 
3.3%
199976.765493088 1
 
3.3%
200291.374084556 1
 
3.3%
198101.593328721 1
 
3.3%
197611.136753081 1
 
3.3%
198909.560005051 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
196350.328958916 1
3.3%
197193.771272123 1
3.3%
197428.923002637 1
3.3%
197482.205329945 2
6.7%
197559.791065754 1
3.3%
197611.136753081 1
3.3%
197612.137033978 1
3.3%
198101.593328721 1
3.3%
198625.191380432 1
3.3%
198658.943470079 1
3.3%
ValueCountFrequency (%)
200291.374084556 1
3.3%
200257.115683163 1
3.3%
200136.734882861 1
3.3%
200059.357458161 1
3.3%
200038.343054497 1
3.3%
199976.765493088 1
3.3%
199972.881431778 1
3.3%
199794.250869762 1
3.3%
199666.948921028 1
3.3%
199635.069254984 1
3.3%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)93.1%
Missing1
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean452629.98
Minimum451858.66
Maximum456125.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T08:31:49.435487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451858.66
5-th percentile451910.21
Q1452083.12
median452388.32
Q3452831.56
95-th percentile453547.92
Maximum456125.17
Range4266.5132
Interquartile range (IQR)748.43232

Descriptive statistics

Standard deviation857.50801
Coefficient of variation (CV)0.0018945011
Kurtosis9.2180523
Mean452629.98
Median Absolute Deviation (MAD)312.08965
Skewness2.6059243
Sum13126270
Variance735319.99
MonotonicityNot monotonic
2024-05-11T08:31:49.983198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
452253.942584507 2
 
6.7%
451938.30792481 2
 
6.7%
452083.12305066 1
 
3.3%
452041.177877529 1
 
3.3%
452693.724315983 1
 
3.3%
452526.527263312 1
 
3.3%
452163.083270761 1
 
3.3%
452496.362099822 1
 
3.3%
452693.651254545 1
 
3.3%
452239.661365459 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
451858.661758256 1
3.3%
451891.4859896 1
3.3%
451938.30792481 2
6.7%
451945.821955137 1
3.3%
452041.177877529 1
3.3%
452076.225584316 1
3.3%
452083.12305066 1
3.3%
452163.083270761 1
3.3%
452178.774541021 1
3.3%
452199.428810287 1
3.3%
ValueCountFrequency (%)
456125.174939251 1
3.3%
453589.791391142 1
3.3%
453485.12004217 1
3.3%
453452.586227938 1
3.3%
453396.280071147 1
3.3%
453308.674806807 1
3.3%
453151.482790983 1
3.3%
452831.555366395 1
3.3%
452693.724315983 1
3.3%
452693.651254545 1
3.3%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
영화상영업
22 
<NA>
8 

Length

Max length5
Median length5
Mean length4.7333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 22
73.3%
<NA> 8
 
26.7%

Length

2024-05-11T08:31:50.345193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:50.627227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 22
73.3%
na 8
 
26.7%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T08:31:50.988924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:51.465230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T08:31:51.860556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:52.243814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T08:31:52.626082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:52.966372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T08:31:53.367837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:53.905776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T08:31:54.363071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:54.778621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T08:31:55.201045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:55.576889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T08:31:55.943111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:56.346401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T08:31:56.876327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:57.216039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
29 
0
 
1

Length

Max length4
Median length4
Mean length3.9
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
96.7%
0 1
 
3.3%

Length

2024-05-11T08:31:57.631048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:31:57.974047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
96.7%
0 1
 
3.3%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing8
Missing (%)26.7%
Infinite0
Infinite (%)0.0%
Mean20078861
Minimum19990624
Maximum20160909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-05-11T08:31:58.316466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990624
5-th percentile19990702
Q120038312
median20090618
Q320117872
95-th percentile20159731
Maximum20160909
Range170285
Interquartile range (IQR)79560.25

Descriptive statistics

Standard deviation57572.815
Coefficient of variation (CV)0.0028673346
Kurtosis-1.015364
Mean20078861
Median Absolute Deviation (MAD)34859
Skewness-0.36918695
Sum4.4173495 × 108
Variance3.314629 × 109
MonotonicityNot monotonic
2024-05-11T08:31:58.925060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20110316 1
 
3.3%
20090617 1
 
3.3%
20141028 1
 
3.3%
20160909 1
 
3.3%
20160205 1
 
3.3%
20150716 1
 
3.3%
20130627 1
 
3.3%
20120326 1
 
3.3%
20000720 1
 
3.3%
20110511 1
 
3.3%
Other values (12) 12
40.0%
(Missing) 8
26.7%
ValueCountFrequency (%)
19990624 1
3.3%
19990701 1
3.3%
19990712 1
3.3%
19990828 1
3.3%
20000720 1
3.3%
20030714 1
3.3%
20061106 1
3.3%
20070829 1
3.3%
20070911 1
3.3%
20080318 1
3.3%
ValueCountFrequency (%)
20160909 1
3.3%
20160205 1
3.3%
20150716 1
3.3%
20141028 1
3.3%
20130627 1
3.3%
20120326 1
3.3%
20110511 1
3.3%
20110316 1
3.3%
20100409 1
3.3%
20091207 1
3.3%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF521104199900000119990624<NA>3폐업3폐업20160419<NA><NA><NA><NA><NA><NA>서울특별시 종로구 돈의동 137번지서울특별시 종로구 돈화문로5가길 1 (돈의동)110808(주)피카디리극장2016-04-19 19:26:48I2018-08-31 23:59:59.0<NA>199155.542698452083.123051영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990624<NA>
13000000CDFF521104199900000219990701<NA>3폐업3폐업20140117<NA><NA><NA><NA><NA><NA>서울특별시 종로구 동숭동 1-5번지서울특별시 종로구 동숭길 122 (동숭동)<NA>(주)동숭아트센타2014-01-17 15:19:43I2018-08-31 23:59:59.0<NA>200257.115683453485.120042영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990701<NA>
23000000CDFF52110419990000031999-07-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 낙원동 284-6서울특별시 종로구 삼일대로 428 (낙원동)<NA>(주)동아서울시네마2023-12-29 15:11:22U2022-11-01 21:01:00.0<NA>198852.959717452253.942585<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33000000CDFF521104199900000419990712<NA>3폐업3폐업20140328<NA><NA><NA><NA><NA><NA>서울특별시 종로구 장사동 156-1번지서울특별시 종로구 청계천로 163 (장사동)<NA>(주)연흥아세아2014-03-28 15:57:52I2018-08-31 23:59:59.0<NA>199561.640995451858.661758영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990712<NA>
43000000CDFF521104199900000519990828<NA>3폐업3폐업20081226<NA><NA><NA><NA><NA><NA>서울특별시 종로구 연지동 270번지서울특별시 종로구 종로33길 15 (연지동)<NA>(재)연강재단2014-12-10 11:25:50I2018-08-31 23:59:59.0<NA>200038.343054452178.774541영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990828<NA>
53000000CDFF521104200300000120030714<NA>1영업/정상13영업중<NA><NA><NA><NA>3676-8400<NA>110524서울특별시 종로구 명륜4가 113-1번지서울특별시 종로구 대학로11길 23 (명륜4가)<NA>(주)씨네유2010-04-28 11:33:15I2018-08-31 23:59:59.0<NA>199972.881432453308.674807영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20030714<NA>
63000000CDFF521104200400000120040614202301134취소/말소/만료/정지/중지32신고취소<NA><NA><NA><NA>2001-8800<NA><NA>서울특별시 종로구 통의동 35-23서울특별시 종로구 효자로 19 (통의동)<NA>(주)시네마서비스2023-01-13 17:12:39U2022-11-30 23:05:00.0<NA>197612.137034452831.555366<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73000000CDFF521104200600000120061101<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3672-0181<NA><NA>서울특별시 종로구 가회동 172-1서울특별시 종로구 북촌로 42-3, 덕양빌딩 5층 (가회동)3056(주)영화사진진2022-09-14 17:59:55U2021-12-08 23:06:00.0<NA>198625.19138453151.482791<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83000000CDFF521104200600000220061106<NA>1영업/정상13영업중<NA><NA><NA><NA>747-6400<NA>110856서울특별시 종로구 묘동 56번지 단성사서울특별시 종로구 돈화문로 26 (묘동,단성사)<NA>(주)단성시네마2010-04-28 11:42:52I2018-08-31 23:59:59.0<NA>199269.115471452076.225584영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20061106<NA>
93000000CDFF521104200700000120070829<NA>1영업/정상13영업중<NA><NA><NA><NA>031-229-3700<NA>110776서울특별시 종로구 경운동 89-4번지 운현궁SK허브 101동 525호서울특별시 종로구 삼일대로 461, 101동 525호 (경운동,운현궁SK허브)<NA>(주)아미식품2010-04-28 14:56:47I2018-08-31 23:59:59.0<NA>198658.94347452604.254903영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20070829<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
203000000CDFF521104201200000320120326<NA>3폐업3폐업20130311<NA><NA><NA><NA><NA><NA>서울특별시 종로구 익선동 34번지 비즈웰오피스텔 621호서울특별시 종로구 삼일대로30길 23, 621호 (익선동, 비즈웰오피스텔)110340다트앤2013-03-14 18:41:47I2018-08-31 23:59:59.0<NA>198938.628194452464.092338영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120326<NA>
213000000CDFF521104201300000120130627<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8145-3200<NA><NA>서울특별시 종로구 신문로1가 226번지 흥국생명빌딩 8층서울특별시 종로구 새문안로 68, 8층 (신문로1가)110786(주)티캐스트콘텐츠허브2015-04-30 16:57:01I2018-08-31 23:59:59.0<NA>197482.20533451938.307925영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20130627<NA>
223000000CDFF521104201500000220150716<NA>1영업/정상13영업중<NA><NA><NA><NA>02-743-4667<NA><NA>서울특별시 종로구 혜화동 163-24번지서울특별시 종로구 대학로14길 29 (혜화동)110530동양예술극장2015-07-16 18:13:53I2018-08-31 23:59:59.0<NA>200136.734883453589.791391영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150716<NA>
233000000CDFF521104201600000320160205<NA>1영업/정상13영업중<NA><NA><NA><NA>02)730-5604<NA><NA>서울특별시 종로구 신문로2가 1-181번지 복합문화공간 에무 2층서울특별시 종로구 경희궁1가길 7, 복합문화공간 에무 2층 (신문로2가)3176에무 시네마 앤 카페2018-01-03 08:03:14I2018-08-31 23:59:59.0<NA>197193.771272452199.42881영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160205<NA>
243000000CDFF521104201600000420160909<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3672-4233<NA><NA>서울특별시 종로구 낙원동 238번지서울특별시 종로구 삼일대로 428, 4층 (낙원동, 낙원상가)3140(주)낭만극장2016-09-09 11:24:00I2018-08-31 23:59:59.0<NA>198909.560005452239.661365영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20160909<NA>
253000000CDFF521104201600000520141028<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 통의동 37번지서울특별시 종로구 자하문로2길 17-2, 3층 (통의동)3044(주)비트윈에프앤아이2016-12-21 09:53:03I2018-08-31 23:59:59.0<NA>197611.136753452693.651255영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20141028<NA>
263000000CDFF52110420200000012020-06-11<NA>3폐업3폐업2023-11-07<NA><NA><NA><NA><NA><NA>서울특별시 종로구 중학동 19 더케이트윈타워서울특별시 종로구 종로1길 50, 더케이트윈타워 4층 (중학동)3142주식회사 랍스터시네마2023-12-01 15:31:23U2022-11-02 00:03:00.0<NA>198101.593329452496.3621<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273000000CDFF52110420210000012021-01-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 효제동 193-1 BS타워서울특별시 종로구 종로35길 12, BS타워 지층 (효제동)3126주식회사 아티스트존 (Artistzone Co.,Ltd)2023-10-25 08:33:29U2022-10-30 22:08:00.0<NA>200291.374085452163.083271<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283000000CDFF521104202100000220090617<NA>1영업/정상13영업중<NA><NA><NA><NA>02-797-7271<NA><NA>서울특별시 종로구 연지동 1-7 현대그룹빌딩 동관서울특별시 종로구 율곡로 194, 현대그룹빌딩 동관 4층 (연지동)3127(주)나이너스엔터테인먼트2021-03-08 17:58:24I2021-03-10 00:23:00.0<NA>199976.765493452526.527263영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090617<NA>
293000000CDFF52110420230000012021-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3279-2201<NA><NA>서울특별시 종로구 연건동 128-8 홍익대학교 대학로캠퍼스 교육동 2층서울특별시 종로구 대학로 57, 홍익대학교 대학로캠퍼스 교육동 2층 (연건동)3082재단법인 국립극단2024-05-07 16:35:09U2023-12-05 00:09:00.0<NA>200059.357458452693.724316<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>