Overview

Dataset statistics

Number of variables56
Number of observations56
Missing cells1535
Missing cells (%)48.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.7 KiB
Average record size in memory488.4 B

Variable types

Categorical22
Text2
Unsupported26
Numeric5
DateTime1

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-17665/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 has 56 (100.0%) missing valuesMissing
휴업시작일자 has 56 (100.0%) missing valuesMissing
휴업종료일자 has 56 (100.0%) missing valuesMissing
재개업일자 has 56 (100.0%) missing valuesMissing
소재지면적 has 56 (100.0%) missing valuesMissing
도로명우편번호 has 14 (25.0%) missing valuesMissing
업태구분명 has 56 (100.0%) missing valuesMissing
좌표정보(X) has 9 (16.1%) missing valuesMissing
좌표정보(Y) has 9 (16.1%) missing valuesMissing
제작취급품목내용 has 56 (100.0%) missing valuesMissing
시설면적 has 56 (100.0%) missing valuesMissing
지하층수 has 29 (51.8%) missing valuesMissing
조명시설조도 has 56 (100.0%) missing valuesMissing
노래방실수 has 56 (100.0%) missing valuesMissing
청소년실수 has 56 (100.0%) missing valuesMissing
비상계단여부 has 56 (100.0%) missing valuesMissing
비상구여부 has 56 (100.0%) missing valuesMissing
자동환기여부 has 56 (100.0%) missing valuesMissing
청소년실여부 has 56 (100.0%) missing valuesMissing
특수조명여부 has 56 (100.0%) missing valuesMissing
방음시설여부 has 56 (100.0%) missing valuesMissing
비디오재생기명 has 56 (100.0%) missing valuesMissing
조명시설유무 has 56 (100.0%) missing valuesMissing
음향시설여부 has 56 (100.0%) missing valuesMissing
편의시설여부 has 56 (100.0%) missing valuesMissing
소방시설여부 has 56 (100.0%) missing valuesMissing
총게임기수 has 56 (100.0%) missing valuesMissing
기존게임업외업종명 has 56 (100.0%) missing valuesMissing
제공게임물명 has 56 (100.0%) missing valuesMissing
품목명 has 56 (100.0%) missing valuesMissing
최초등록시점 has 18 (32.1%) missing valuesMissing
관리번호 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 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
총게임기수 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
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 05:36:33.369936
Analysis finished2024-05-11 05:36:34.066417
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size580.0 B
3130000
56 

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 56
100.0%

Length

2024-05-11T14:36:34.173255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:34.322063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3130000 56
100.0%

관리번호
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-05-11T14:36:34.598943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1120
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

Unique56 ?
Unique (%)100.0%

Sample

1st rowCDFF4220001991000001
2nd rowCDFF4220001996000001
3rd rowCDFF4220001996000002
4th rowCDFF4220002001000001
5th rowCDFF4220002001000002
ValueCountFrequency (%)
cdff4220001991000001 1
 
1.8%
cdff4220001996000001 1
 
1.8%
cdff4220002014000005 1
 
1.8%
cdff4220002008000006 1
 
1.8%
cdff4220002010000001 1
 
1.8%
cdff4220002012000001 1
 
1.8%
cdff4220002012000002 1
 
1.8%
cdff4220002012000003 1
 
1.8%
cdff4220002012000004 1
 
1.8%
cdff4220002012000005 1
 
1.8%
Other values (46) 46
82.1%
2024-05-11T14:36:35.078664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 529
47.2%
2 189
 
16.9%
F 112
 
10.0%
4 71
 
6.3%
C 56
 
5.0%
D 56
 
5.0%
1 46
 
4.1%
3 18
 
1.6%
9 12
 
1.1%
7 10
 
0.9%
Other values (3) 21
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 896
80.0%
Uppercase Letter 224
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 529
59.0%
2 189
 
21.1%
4 71
 
7.9%
1 46
 
5.1%
3 18
 
2.0%
9 12
 
1.3%
7 10
 
1.1%
6 7
 
0.8%
5 7
 
0.8%
8 7
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 112
50.0%
C 56
25.0%
D 56
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 896
80.0%
Latin 224
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 529
59.0%
2 189
 
21.1%
4 71
 
7.9%
1 46
 
5.1%
3 18
 
2.0%
9 12
 
1.3%
7 10
 
1.1%
6 7
 
0.8%
5 7
 
0.8%
8 7
 
0.8%
Latin
ValueCountFrequency (%)
F 112
50.0%
C 56
25.0%
D 56
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1120
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 529
47.2%
2 189
 
16.9%
F 112
 
10.0%
4 71
 
6.3%
C 56
 
5.0%
D 56
 
5.0%
1 46
 
4.1%
3 18
 
1.6%
9 12
 
1.1%
7 10
 
0.9%
Other values (3) 21
 
1.9%

인허가일자
Categorical

Distinct19
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size580.0 B
2003-05-19
9 
20210705
6 
20071213
6 
20140926
6 
2019-09-23
5 
Other values (14)
24 

Length

Max length10
Median length8
Mean length8.6428571
Min length8

Unique

Unique8 ?
Unique (%)14.3%

Sample

1st row19911005
2nd row19960627
3rd row19960627
4th row20010608
5th row20010608

Common Values

ValueCountFrequency (%)
2003-05-19 9
16.1%
20210705 6
10.7%
20071213 6
10.7%
20140926 6
10.7%
2019-09-23 5
8.9%
20080102 4
 
7.1%
20120718 4
 
7.1%
19960627 2
 
3.6%
20040525 2
 
3.6%
20010608 2
 
3.6%
Other values (9) 10
17.9%

Length

2024-05-11T14:36:35.302727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2003-05-19 9
16.1%
20210705 6
10.7%
20071213 6
10.7%
20140926 6
10.7%
2019-09-23 5
8.9%
20080102 4
 
7.1%
20120718 4
 
7.1%
2008-01-02 2
 
3.6%
20010608 2
 
3.6%
20040525 2
 
3.6%
Other values (9) 10
17.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
1
36 
3
14 
4
6 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 36
64.3%
3 14
 
25.0%
4 6
 
10.7%

Length

2024-05-11T14:36:35.471555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:35.618124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
64.3%
3 14
 
25.0%
4 6
 
10.7%

영업상태명
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
영업/정상
36 
폐업
14 
취소/말소/만료/정지/중지
6 

Length

Max length14
Median length5
Mean length5.2142857
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 36
64.3%
폐업 14
 
25.0%
취소/말소/만료/정지/중지 6
 
10.7%

Length

2024-05-11T14:36:35.799569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:35.969411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 36
64.3%
폐업 14
 
25.0%
취소/말소/만료/정지/중지 6
 
10.7%

상세영업상태코드
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
13
36 
3
14 
35
6 

Length

Max length2
Median length2
Mean length1.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 36
64.3%
3 14
 
25.0%
35 6
 
10.7%

Length

2024-05-11T14:36:36.164975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:36.322923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 36
64.3%
3 14
 
25.0%
35 6
 
10.7%

상세영업상태명
Categorical

Distinct3
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size580.0 B
영업중
36 
폐업
14 
직권말소
6 

Length

Max length4
Median length3
Mean length2.8571429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 36
64.3%
폐업 14
 
25.0%
직권말소 6
 
10.7%

Length

2024-05-11T14:36:36.543734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:36.750009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 36
64.3%
폐업 14
 
25.0%
직권말소 6
 
10.7%

폐업일자
Categorical

Distinct9
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
36 
20070315
7 
20140825
6 
20170331
 
2
20180716
 
1
Other values (4)
4 

Length

Max length10
Median length4
Mean length5.5
Min length4

Unique

Unique5 ?
Unique (%)8.9%

Sample

1st row20070315
2nd row20070315
3rd row20070315
4th row20070315
5th row20070315

Common Values

ValueCountFrequency (%)
<NA> 36
64.3%
20070315 7
 
12.5%
20140825 6
 
10.7%
20170331 2
 
3.6%
20180716 1
 
1.8%
20090514 1
 
1.8%
20210127 1
 
1.8%
2022-08-03 1
 
1.8%
9999-12-31 1
 
1.8%

Length

2024-05-11T14:36:36.953038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:37.137389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
64.3%
20070315 7
 
12.5%
20140825 6
 
10.7%
20170331 2
 
3.6%
20180716 1
 
1.8%
20090514 1
 
1.8%
20210127 1
 
1.8%
2022-08-03 1
 
1.8%
9999-12-31 1
 
1.8%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

전화번호
Categorical

Distinct14
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
02-3147-3733
9 
<NA>
9 
3143-7180
6 
02-3143-6753
6 
320-2511
5 
Other values (9)
21 

Length

Max length13
Median length12
Mean length9.6785714
Min length4

Unique

Unique5 ?
Unique (%)8.9%

Sample

1st row320-2511
2nd row320-2511
3rd row320-2511
4th row320-2511
5th row320-2511

Common Values

ValueCountFrequency (%)
02-3147-3733 9
16.1%
<NA> 9
16.1%
3143-7180 6
10.7%
02-3143-6753 6
10.7%
320-2511 5
8.9%
02-3017-3699 5
8.9%
02-526-8853 5
8.9%
070-7465-3650 4
7.1%
2132-5060 2
 
3.6%
304-0667 1
 
1.8%
Other values (4) 4
7.1%

Length

2024-05-11T14:36:37.339992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
02-3147-3733 9
16.1%
na 9
16.1%
3143-7180 6
10.7%
02-3143-6753 6
10.7%
320-2511 5
8.9%
02-3017-3699 5
8.9%
02-526-8853 5
8.9%
070-7465-3650 4
7.1%
2132-5060 2
 
3.6%
304-0667 1
 
1.8%
Other values (4) 4
7.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

소재지우편번호
Categorical

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
42 
121807
7 
121898
6 
121809
 
1

Length

Max length6
Median length4
Mean length4.5
Min length4

Unique

Unique1 ?
Unique (%)1.8%

Sample

1st row121807
2nd row121807
3rd row121807
4th row121807
5th row121807

Common Values

ValueCountFrequency (%)
<NA> 42
75.0%
121807 7
 
12.5%
121898 6
 
10.7%
121809 1
 
1.8%

Length

2024-05-11T14:36:37.549384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:37.723037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
75.0%
121807 7
 
12.5%
121898 6
 
10.7%
121809 1
 
1.8%

지번주소
Categorical

Distinct16
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
서울특별시 마포구 성산동 515 월드컵쇼핑몰내 1층
9 
서울특별시 마포구 노고산동 57-1번지
7 
서울특별시 마포구 동교동 159-8번지
6 
서울특별시 마포구 동교동 159-8
6 
서울특별시 마포구 동교동 167-2 LC TOWER
6 
Other values (11)
22 

Length

Max length39
Median length29
Mean length24.5
Min length19

Unique

Unique7 ?
Unique (%)12.5%

Sample

1st row서울특별시 마포구 노고산동 57-1번지
2nd row서울특별시 마포구 노고산동 57-1번지
3rd row서울특별시 마포구 노고산동 57-1번지
4th row서울특별시 마포구 노고산동 57-1번지
5th row서울특별시 마포구 노고산동 57-1번지

Common Values

ValueCountFrequency (%)
서울특별시 마포구 성산동 515 월드컵쇼핑몰내 1층 9
16.1%
서울특별시 마포구 노고산동 57-1번지 7
12.5%
서울특별시 마포구 동교동 159-8번지 6
10.7%
서울특별시 마포구 동교동 159-8 6
10.7%
서울특별시 마포구 동교동 167-2 LC TOWER 6
10.7%
서울특별시 마포구 동교동 160-4 아일렉스 5
8.9%
서울특별시 마포구 동교동 166-6 4
7.1%
서울특별시 마포구 서교동 490 메세나폴리스 2층 4
7.1%
서울특별시 마포구 동교동 166-6 2
 
3.6%
서울특별시 마포구 성산동 515번지 월드컵쇼핑몰 1층 1
 
1.8%
Other values (6) 6
10.7%

Length

2024-05-11T14:36:37.950704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 56
20.3%
마포구 56
20.3%
동교동 31
11.2%
성산동 10
 
3.6%
1층 10
 
3.6%
515 9
 
3.3%
월드컵쇼핑몰내 9
 
3.3%
노고산동 7
 
2.5%
57-1번지 7
 
2.5%
lc 6
 
2.2%
Other values (24) 75
27.2%

도로명주소
Categorical

Distinct14
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
서울특별시 마포구 양화로 153 (동교동)
12 
서울특별시 마포구 월드컵로 240 (성산동,월드컵쇼핑몰내 1층)
9 
서울특별시 마포구 신촌로 94 (노고산동)
7 
서울특별시 마포구 양화로 176 (동교동)
6 
서울특별시 마포구 양화로 186, LC TOWER 7~10층 (동교동)
6 
Other values (9)
16 

Length

Max length44
Median length39
Mean length29.732143
Min length23

Unique

Unique7 ?
Unique (%)12.5%

Sample

1st row서울특별시 마포구 신촌로 94 (노고산동)
2nd row서울특별시 마포구 신촌로 94 (노고산동)
3rd row서울특별시 마포구 신촌로 94 (노고산동)
4th row서울특별시 마포구 신촌로 94 (노고산동)
5th row서울특별시 마포구 신촌로 94 (노고산동)

Common Values

ValueCountFrequency (%)
서울특별시 마포구 양화로 153 (동교동) 12
21.4%
서울특별시 마포구 월드컵로 240 (성산동,월드컵쇼핑몰내 1층) 9
16.1%
서울특별시 마포구 신촌로 94 (노고산동) 7
12.5%
서울특별시 마포구 양화로 176 (동교동) 6
10.7%
서울특별시 마포구 양화로 186, LC TOWER 7~10층 (동교동) 6
10.7%
서울특별시 마포구 양화로 147, 아일렉스 7층 (동교동) 5
8.9%
서울특별시 마포구 양화로 45, 2층 (서교동, 메세나폴리스) 4
 
7.1%
서울특별시 마포구 월드컵로 240, 1층 (성산동, 월드컵쇼핑몰) 1
 
1.8%
서울특별시 마포구 대흥로20길 28 (대흥동) 1
 
1.8%
서울특별시 마포구 어울마당로 65 (서교동, 상상마당빌딩) 1
 
1.8%
Other values (4) 4
 
7.1%

Length

2024-05-11T14:36:38.199140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 56
16.6%
마포구 56
16.6%
양화로 34
 
10.1%
동교동 30
 
8.9%
153 12
 
3.6%
월드컵로 10
 
3.0%
240 10
 
3.0%
1층 10
 
3.0%
성산동,월드컵쇼핑몰내 9
 
2.7%
176 7
 
2.1%
Other values (31) 103
30.6%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)14.3%
Missing14
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean4000.1429
Minimum3925
Maximum4051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-05-11T14:36:38.384906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3925
5-th percentile3932
Q13932
median3995
Q34051
95-th percentile4051
Maximum4051
Range126
Interquartile range (IQR)119

Descriptive statistics

Standard deviation49.457827
Coefficient of variation (CV)0.012364015
Kurtosis-1.4436092
Mean4000.1429
Median Absolute Deviation (MAD)56
Skewness-0.41769892
Sum168006
Variance2446.0767
MonotonicityNot monotonic
2024-05-11T14:36:38.568987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4051 13
23.2%
3995 11
19.6%
3932 10
17.9%
4036 4
 
7.1%
4042 2
 
3.6%
3925 2
 
3.6%
(Missing) 14
25.0%
ValueCountFrequency (%)
3925 2
 
3.6%
3932 10
17.9%
3995 11
19.6%
4036 4
 
7.1%
4042 2
 
3.6%
4051 13
23.2%
ValueCountFrequency (%)
4051 13
23.2%
4042 2
 
3.6%
4036 4
 
7.1%
3995 11
19.6%
3932 10
17.9%
3925 2
 
3.6%

사업장명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2024-05-11T14:36:38.862892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length23
Mean length14.875
Min length7

Characters and Unicode

Total characters833
Distinct characters100
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

Unique56 ?
Unique (%)100.0%

Sample

1st row정도진흥기업(주)신촌그랜드시네마1관
2nd row정도진흥기업(주)신촌그랜드시네마2관
3rd row정도진흥기업(주)신촌그랜드시네마3관
4th row정도진흥기업(주)신촌그랜드시네마4관
5th row정도진흥기업(주)신촌그랜드시네마5관
ValueCountFrequency (%)
메가박스중앙(주 14
 
10.9%
롯데시네마 12
 
9.3%
상암월드컵경기장지점 9
 
7.0%
cgv홍대 6
 
4.7%
홍대입구관 6
 
4.7%
cgv연남 6
 
4.7%
홍대지점 5
 
3.9%
4관 4
 
3.1%
제1관 4
 
3.1%
합정 4
 
3.1%
Other values (41) 59
45.7%
2024-05-11T14:36:39.429909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
8.8%
관 60
 
7.2%
( 24
 
2.9%
) 24
 
2.9%
스 23
 
2.8%
마 23
 
2.8%
주 22
 
2.6%
시 20
 
2.4%
제 20
 
2.4%
네 20
 
2.4%
Other values (90) 524
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 590
70.8%
Space Separator 73
 
8.8%
Decimal Number 53
 
6.4%
Uppercase Letter 45
 
5.4%
Open Punctuation 24
 
2.9%
Close Punctuation 24
 
2.9%
Lowercase Letter 23
 
2.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 60
 
10.2%
스 23
 
3.9%
마 23
 
3.9%
주 22
 
3.7%
시 20
 
3.4%
제 20
 
3.4%
네 20
 
3.4%
드 17
 
2.9%
기 17
 
2.9%
대 17
 
2.9%
Other values (54) 351
59.5%
Lowercase Letter
ValueCountFrequency (%)
e 3
13.0%
i 3
13.0%
m 3
13.0%
t 2
8.7%
n 2
8.7%
a 2
8.7%
o 2
8.7%
c 1
 
4.3%
u 1
 
4.3%
s 1
 
4.3%
Other values (3) 3
13.0%
Decimal Number
ValueCountFrequency (%)
1 10
18.9%
4 9
17.0%
2 8
15.1%
3 8
15.1%
5 7
13.2%
6 6
11.3%
7 2
 
3.8%
9 1
 
1.9%
8 1
 
1.9%
0 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
G 13
28.9%
C 13
28.9%
V 12
26.7%
D 2
 
4.4%
X 1
 
2.2%
S 1
 
2.2%
T 1
 
2.2%
A 1
 
2.2%
K 1
 
2.2%
Space Separator
ValueCountFrequency (%)
73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 590
70.8%
Common 175
 
21.0%
Latin 68
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 60
 
10.2%
스 23
 
3.9%
마 23
 
3.9%
주 22
 
3.7%
시 20
 
3.4%
제 20
 
3.4%
네 20
 
3.4%
드 17
 
2.9%
기 17
 
2.9%
대 17
 
2.9%
Other values (54) 351
59.5%
Latin
ValueCountFrequency (%)
G 13
19.1%
C 13
19.1%
V 12
17.6%
e 3
 
4.4%
i 3
 
4.4%
m 3
 
4.4%
t 2
 
2.9%
n 2
 
2.9%
a 2
 
2.9%
o 2
 
2.9%
Other values (12) 13
19.1%
Common
ValueCountFrequency (%)
73
41.7%
( 24
 
13.7%
) 24
 
13.7%
1 10
 
5.7%
4 9
 
5.1%
2 8
 
4.6%
3 8
 
4.6%
5 7
 
4.0%
6 6
 
3.4%
7 2
 
1.1%
Other values (4) 4
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 590
70.8%
ASCII 243
29.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
30.0%
( 24
 
9.9%
) 24
 
9.9%
G 13
 
5.3%
C 13
 
5.3%
V 12
 
4.9%
1 10
 
4.1%
4 9
 
3.7%
2 8
 
3.3%
3 8
 
3.3%
Other values (26) 49
20.2%
Hangul
ValueCountFrequency (%)
관 60
 
10.2%
스 23
 
3.9%
마 23
 
3.9%
주 22
 
3.7%
시 20
 
3.4%
제 20
 
3.4%
네 20
 
3.4%
드 17
 
2.9%
기 17
 
2.9%
대 17
 
2.9%
Other values (54) 351
59.5%

최종수정일자
Date

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
Minimum2011-03-04 17:57:07
Maximum2024-04-05 17:49:51
2024-05-11T14:36:40.055891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:36:40.305603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
U
33 
I
23 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 33
58.9%
I 23
41.1%

Length

2024-05-11T14:36:40.523649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:40.709820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 33
58.9%
i 23
41.1%

데이터갱신일자
Categorical

Distinct10
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size580.0 B
2018-08-31 23:59:59.0
17 
2023-12-03 00:08:00.0
9 
2021-12-24 02:40:00.0
8 
2021-04-25 02:40:00.0
6 
2021-07-07 00:22:53.0
6 
Other values (5)
10 

Length

Max length21
Median length21
Mean length21
Min length21

Unique

Unique3 ?
Unique (%)5.4%

Sample

1st row2018-08-31 23:59:59.0
2nd row2018-08-31 23:59:59.0
3rd row2018-08-31 23:59:59.0
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 17
30.4%
2023-12-03 00:08:00.0 9
16.1%
2021-12-24 02:40:00.0 8
14.3%
2021-04-25 02:40:00.0 6
 
10.7%
2021-07-07 00:22:53.0 6
 
10.7%
2023-12-01 22:02:00.0 5
 
8.9%
2022-11-01 00:04:00.0 2
 
3.6%
2021-01-29 02:40:00.0 1
 
1.8%
2022-12-05 00:07:00.0 1
 
1.8%
2023-12-04 00:07:00.0 1
 
1.8%

Length

2024-05-11T14:36:40.898872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:41.097076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018-08-31 17
15.2%
23:59:59.0 17
15.2%
02:40:00.0 15
13.4%
2023-12-03 9
8.0%
00:08:00.0 9
8.0%
2021-12-24 8
7.1%
2021-07-07 6
 
5.4%
00:22:53.0 6
 
5.4%
2021-04-25 6
 
5.4%
2023-12-01 5
 
4.5%
Other values (7) 14
12.5%

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)23.4%
Missing9
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean193143.25
Minimum190250.88
Maximum195119.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-05-11T14:36:41.314486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum190250.88
5-th percentile191400.76
Q1193046.53
median193105.34
Q3193378.57
95-th percentile194273.6
Maximum195119.61
Range4868.7396
Interquartile range (IQR)332.03116

Descriptive statistics

Standard deviation904.05056
Coefficient of variation (CV)0.0046807256
Kurtosis3.813123
Mean193143.25
Median Absolute Deviation (MAD)225.37899
Skewness-1.3049714
Sum9077732.9
Variance817307.42
MonotonicityNot monotonic
2024-05-11T14:36:41.583964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
193105.3351414 12
21.4%
194273.598098938 7
12.5%
193330.714127201 6
10.7%
193378.565878023 6
10.7%
193046.534722015 5
8.9%
192311.642580307 4
 
7.1%
192952.420678323 2
 
3.6%
190250.875091908 2
 
3.6%
191010.381048042 1
 
1.8%
195119.614697982 1
 
1.8%
(Missing) 9
16.1%
ValueCountFrequency (%)
190250.875091908 2
 
3.6%
191010.381048042 1
 
1.8%
192311.642580307 4
 
7.1%
192952.420678323 2
 
3.6%
193046.534722015 5
8.9%
193105.3351414 12
21.4%
193282.130799848 1
 
1.8%
193330.714127201 6
10.7%
193378.565878023 6
10.7%
194273.598098938 7
12.5%
ValueCountFrequency (%)
195119.614697982 1
 
1.8%
194273.598098938 7
12.5%
193378.565878023 6
10.7%
193330.714127201 6
10.7%
193282.130799848 1
 
1.8%
193105.3351414 12
21.4%
193046.534722015 5
8.9%
192952.420678323 2
 
3.6%
192311.642580307 4
 
7.1%
191010.381048042 1
 
1.8%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)23.4%
Missing9
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean450522.47
Minimum449748.03
Maximum453017.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-05-11T14:36:41.766774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum449748.03
5-th percentile449855.64
Q1450318.72
median450464.44
Q3450564.51
95-th percentile451569.95
Maximum453017.87
Range3269.8361
Interquartile range (IQR)245.78903

Descriptive statistics

Standard deviation630.16093
Coefficient of variation (CV)0.0013987336
Kurtosis9.9117006
Mean450522.47
Median Absolute Deviation (MAD)100.06895
Skewness2.8890899
Sum21174556
Variance397102.8
MonotonicityNot monotonic
2024-05-11T14:36:41.965986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
450464.444202107 12
21.4%
450318.724130121 7
12.5%
450564.513156137 6
10.7%
450631.475566303 6
10.7%
450424.564540851 5
8.9%
449855.643910445 4
 
7.1%
449862.465821234 2
 
3.6%
453017.867202928 2
 
3.6%
451972.154018501 1
 
1.8%
449748.031084018 1
 
1.8%
(Missing) 9
16.1%
ValueCountFrequency (%)
449748.031084018 1
 
1.8%
449855.643910445 4
 
7.1%
449862.465821234 2
 
3.6%
450318.724130121 7
12.5%
450424.564540851 5
8.9%
450464.444202107 12
21.4%
450549.280167182 1
 
1.8%
450564.513156137 6
10.7%
450631.475566303 6
10.7%
451972.154018501 1
 
1.8%
ValueCountFrequency (%)
453017.867202928 2
 
3.6%
451972.154018501 1
 
1.8%
450631.475566303 6
10.7%
450564.513156137 6
10.7%
450549.280167182 1
 
1.8%
450464.444202107 12
21.4%
450424.564540851 5
8.9%
450318.724130121 7
12.5%
449862.465821234 2
 
3.6%
449855.643910445 4
 
7.1%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
영화상영관
38 
<NA>
18 

Length

Max length5
Median length5
Mean length4.6785714
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영관 38
67.9%
<NA> 18
32.1%

Length

2024-05-11T14:36:42.188043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:42.370277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영관 38
67.9%
na 18
32.1%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
36 
영화상영관
20 

Length

Max length5
Median length4
Mean length4.3571429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
64.3%
영화상영관 20
35.7%

Length

2024-05-11T14:36:42.565657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:42.775198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
64.3%
영화상영관 20
35.7%

총층수
Categorical

Distinct6
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
35 
15
11 
17
4 
12
 
3
26
 
2

Length

Max length4
Median length4
Mean length3.25
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
62.5%
15 11
 
19.6%
17 4
 
7.1%
12 3
 
5.4%
26 2
 
3.6%
56 1
 
1.8%

Length

2024-05-11T14:36:43.074382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:43.261553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
62.5%
15 11
 
19.6%
17 4
 
7.1%
12 3
 
5.4%
26 2
 
3.6%
56 1
 
1.8%

주변환경명
Categorical

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
41 
유흥업소밀집지역
9 
기타
5 
학교정화(절대)
 
1

Length

Max length8
Median length4
Mean length4.5357143
Min length2

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
73.2%
유흥업소밀집지역 9
 
16.1%
기타 5
 
8.9%
학교정화(절대) 1
 
1.8%

Length

2024-05-11T14:36:43.468690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:43.657529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
73.2%
유흥업소밀집지역 9
 
16.1%
기타 5
 
8.9%
학교정화(절대 1
 
1.8%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

지상층수
Categorical

Distinct5
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
29 
11
16 
10
8 
22
 
2
7
 
1

Length

Max length4
Median length4
Mean length3.0178571
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 29
51.8%
11 16
28.6%
10 8
 
14.3%
22 2
 
3.6%
7 1
 
1.8%

Length

2024-05-11T14:36:43.911654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:44.117532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
51.8%
11 16
28.6%
10 8
 
14.3%
22 2
 
3.6%
7 1
 
1.8%

지하층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)22.2%
Missing29
Missing (%)51.8%
Infinite0
Infinite (%)0.0%
Mean5.1481481
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-05-11T14:36:44.280342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q14
median4
Q36.5
95-th percentile7
Maximum16
Range15
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.7274065
Coefficient of variation (CV)0.529784
Kurtosis9.3685392
Mean5.1481481
Median Absolute Deviation (MAD)0
Skewness2.3625936
Sum139
Variance7.4387464
MonotonicityNot monotonic
2024-05-11T14:36:44.477590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
4 14
25.0%
7 6
 
10.7%
6 3
 
5.4%
1 2
 
3.6%
5 1
 
1.8%
16 1
 
1.8%
(Missing) 29
51.8%
ValueCountFrequency (%)
1 2
 
3.6%
4 14
25.0%
5 1
 
1.8%
6 3
 
5.4%
7 6
10.7%
16 1
 
1.8%
ValueCountFrequency (%)
16 1
 
1.8%
7 6
10.7%
6 3
 
5.4%
5 1
 
1.8%
4 14
25.0%
1 2
 
3.6%

건물용도명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
32 
문화시설
24 

Length

Max length4
Median length4
Mean length4
Min length4

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> 32
57.1%
문화시설 24
42.9%

Length

2024-05-11T14:36:44.702422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:44.887233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
57.1%
문화시설 24
42.9%

통로너비
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
49 
1
7 

Length

Max length4
Median length4
Mean length3.625
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> 49
87.5%
1 7
 
12.5%

Length

2024-05-11T14:36:45.086097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:45.350065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
87.5%
1 7
 
12.5%

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

공연장형태구분명
Categorical

Distinct2
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size580.0 B
영화관
38 
<NA>
18 

Length

Max length4
Median length3
Mean length3.3214286
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화관 38
67.9%
<NA> 18
32.1%

Length

2024-05-11T14:36:45.670735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:45.966720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화관 38
67.9%
na 18
32.1%

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing56
Missing (%)100.0%
Memory size636.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)36.8%
Missing18
Missing (%)32.1%
Infinite0
Infinite (%)0.0%
Mean20095496
Minimum19911005
Maximum20210705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2024-05-11T14:36:46.258378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19911005
5-th percentile19960627
Q120070983
median20080102
Q320140926
95-th percentile20210705
Maximum20210705
Range299700
Interquartile range (IQR)69943.25

Descriptive statistics

Standard deviation73439.239
Coefficient of variation (CV)0.0036545124
Kurtosis0.089617229
Mean20095496
Median Absolute Deviation (MAD)44846.5
Skewness-0.25774615
Sum7.6362885 × 108
Variance5.3933219 × 109
MonotonicityIncreasing
2024-05-11T14:36:46.463941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
20071213 6
 
10.7%
20140926 6
 
10.7%
20210705 6
 
10.7%
20080102 4
 
7.1%
20120718 4
 
7.1%
19960627 2
 
3.6%
20010608 2
 
3.6%
20040525 2
 
3.6%
19911005 1
 
1.8%
20030519 1
 
1.8%
Other values (4) 4
 
7.1%
(Missing) 18
32.1%
ValueCountFrequency (%)
19911005 1
 
1.8%
19960627 2
 
3.6%
20010608 2
 
3.6%
20030519 1
 
1.8%
20031217 1
 
1.8%
20040525 2
 
3.6%
20070906 1
 
1.8%
20071213 6
10.7%
20080102 4
7.1%
20100426 1
 
1.8%
ValueCountFrequency (%)
20210705 6
10.7%
20140926 6
10.7%
20120910 1
 
1.8%
20120718 4
7.1%
20100426 1
 
1.8%
20080102 4
7.1%
20071213 6
10.7%
20070906 1
 
1.8%
20040525 2
 
3.6%
20031217 1
 
1.8%

지역구분명
Categorical

Distinct4
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size580.0 B
<NA>
36 
상업지역
11 
근린상업지역
6 
일반상업지역
 
3

Length

Max length6
Median length4
Mean length4.3214286
Min length4

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> 36
64.3%
상업지역 11
 
19.6%
근린상업지역 6
 
10.7%
일반상업지역 3
 
5.4%

Length

2024-05-11T14:36:46.683344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:36:46.878675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
64.3%
상업지역 11
 
19.6%
근린상업지역 6
 
10.7%
일반상업지역 3
 
5.4%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03130000CDFF422000199100000119911005<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA>121807서울특별시 마포구 노고산동 57-1번지서울특별시 마포구 신촌로 94 (노고산동)<NA>정도진흥기업(주)신촌그랜드시네마1관2011-03-04 17:57:07I2018-08-31 23:59:59.0<NA>194273.598099450318.72413영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19911005<NA>
13130000CDFF422000199600000119960627<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA>121807서울특별시 마포구 노고산동 57-1번지서울특별시 마포구 신촌로 94 (노고산동)<NA>정도진흥기업(주)신촌그랜드시네마2관2011-03-04 18:02:00I2018-08-31 23:59:59.0<NA>194273.598099450318.72413영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19960627<NA>
23130000CDFF422000199600000219960627<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA>121807서울특별시 마포구 노고산동 57-1번지서울특별시 마포구 신촌로 94 (노고산동)<NA>정도진흥기업(주)신촌그랜드시네마3관2011-03-04 17:58:50I2018-08-31 23:59:59.0<NA>194273.598099450318.72413영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>19960627<NA>
33130000CDFF422000200100000120010608<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA>121807서울특별시 마포구 노고산동 57-1번지서울특별시 마포구 신촌로 94 (노고산동)<NA>정도진흥기업(주)신촌그랜드시네마4관2011-03-04 18:02:44I2018-08-31 23:59:59.0<NA>194273.598099450318.72413영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20010608<NA>
43130000CDFF422000200100000220010608<NA>3폐업3폐업20070315<NA><NA><NA>320-2511<NA>121807서울특별시 마포구 노고산동 57-1번지서울특별시 마포구 신촌로 94 (노고산동)<NA>정도진흥기업(주)신촌그랜드시네마5관2011-03-04 18:00:11I2018-08-31 23:59:59.0<NA>194273.598099450318.72413영화상영관영화상영관<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20010608<NA>
53130000CDFF42200020030000012003-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3147-3733<NA><NA>서울특별시 마포구 성산동 515 월드컵쇼핑몰내 1층서울특별시 마포구 월드컵로 240 (성산동,월드컵쇼핑몰내 1층)3932메가박스중앙(주) 상암월드컵경기장지점 컴포트1관2024-03-06 17:44:36U2023-12-03 00:08:00.0<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>
63130000CDFF42200020030000022003-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3147-3733<NA><NA>서울특별시 마포구 성산동 515 월드컵쇼핑몰내 1층서울특별시 마포구 월드컵로 240 (성산동,월드컵쇼핑몰내 1층)3932메가박스중앙(주)상암월드컵경기장지점 Dolby Atmos관2024-03-06 17:44:19U2023-12-03 00:08:00.0<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>
73130000CDFF42200020030000032003-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3147-3733<NA><NA>서울특별시 마포구 성산동 515 월드컵쇼핑몰내 1층서울특별시 마포구 월드컵로 240 (성산동,월드컵쇼핑몰내 1층)3932메가박스중앙(주) 상암월드컵경기장지점 3관2024-03-06 17:44:52U2023-12-03 00:08:00.0<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>
83130000CDFF42200020030000042003-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3147-3733<NA><NA>서울특별시 마포구 성산동 515 월드컵쇼핑몰내 1층서울특별시 마포구 월드컵로 240 (성산동,월드컵쇼핑몰내 1층)3932메가박스중앙(주) 상암월드컵경기장지점 4관2024-03-06 17:43:11U2023-12-03 00:08:00.0<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>
93130000CDFF42200020030000052003-05-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3147-3733<NA><NA>서울특별시 마포구 성산동 515 월드컵쇼핑몰내 1층서울특별시 마포구 월드컵로 240 (성산동,월드컵쇼핑몰내 1층)3932메가박스중앙(주) 상암월드컵경기장지점 5관2024-03-06 17:43:27U2023-12-03 00:08:00.0<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
463130000CDFF42200020190000042019-09-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3017-3699<NA><NA>서울특별시 마포구 동교동 160-4 아일렉스서울특별시 마포구 양화로 147, 아일렉스 7층 (동교동)3995메가박스중앙(주) 홍대지점 2관2024-02-20 15:49:53U2023-12-01 22:02:00.0<NA>193046.534722450424.564541<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473130000CDFF42200020190000052019-09-23<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3017-3699<NA><NA>서울특별시 마포구 동교동 160-4 아일렉스서울특별시 마포구 양화로 147, 아일렉스 7층 (동교동)3995메가박스중앙(주) 홍대지점 3관2024-02-20 17:02:55U2023-12-01 22:02:00.0<NA>193046.534722450424.564541<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483130000CDFF422000202100000120210705<NA>1영업/정상13영업중<NA><NA><NA><NA>02-371-6660<NA><NA>서울특별시 마포구 동교동 167-2 LC TOWER서울특별시 마포구 양화로 186, LC TOWER 7~10층 (동교동)4051CGV연남 6관2021-07-05 15:17:12I2021-07-07 00:22:53.0<NA>193378.565878450631.475566영화상영관<NA><NA><NA><NA><NA>107문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20210705<NA>
493130000CDFF422000202100000220210705<NA>1영업/정상13영업중<NA><NA><NA><NA>02-526-8853<NA><NA>서울특별시 마포구 동교동 167-2 LC TOWER서울특별시 마포구 양화로 186, LC TOWER 7~10층 (동교동)4051CGV연남 5관2021-07-05 15:16:35I2021-07-07 00:22:53.0<NA>193378.565878450631.475566영화상영관<NA><NA><NA><NA><NA>107<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20210705<NA>
503130000CDFF422000202100000320210705<NA>1영업/정상13영업중<NA><NA><NA><NA>02-526-8853<NA><NA>서울특별시 마포구 동교동 167-2 LC TOWER서울특별시 마포구 양화로 186, LC TOWER 7~10층 (동교동)4051CGV연남 4관2021-07-05 15:15:56I2021-07-07 00:22:53.0<NA>193378.565878450631.475566영화상영관<NA><NA><NA><NA><NA>107문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20210705<NA>
513130000CDFF422000202100000420210705<NA>1영업/정상13영업중<NA><NA><NA><NA>02-526-8853<NA><NA>서울특별시 마포구 동교동 167-2 LC TOWER서울특별시 마포구 양화로 186, LC TOWER 7~10층 (동교동)4051CGV연남 3관(Suite Cinema)2021-07-05 15:15:10I2021-07-07 00:22:53.0<NA>193378.565878450631.475566영화상영관<NA><NA><NA><NA><NA>107<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20210705<NA>
523130000CDFF422000202100000520210705<NA>1영업/정상13영업중<NA><NA><NA><NA>02-526-8853<NA><NA>서울특별시 마포구 동교동 167-2 LC TOWER서울특별시 마포구 양화로 186, LC TOWER 7~10층 (동교동)4051CGV연남 2관2021-07-05 15:14:23I2021-07-07 00:22:53.0<NA>193378.565878450631.475566영화상영관<NA><NA><NA><NA><NA>107문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20210705<NA>
533130000CDFF422000202100000620210705<NA>1영업/정상13영업중<NA><NA><NA><NA>02-526-8853<NA><NA>서울특별시 마포구 동교동 167-2 LC TOWER서울특별시 마포구 양화로 186, LC TOWER 7~10층 (동교동)4051CGV연남 1관(4DX)2021-07-05 15:09:01I2021-07-07 00:22:53.0<NA>193378.565878450631.475566영화상영관<NA><NA><NA><NA><NA>107문화시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>영화관<NA>20210705<NA>
543130000CDFF42200020210000072021-12-17<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 서교동 367-5 상상마당빌딩서울특별시 마포구 어울마당로 65, 상상마당빌딩 지하3층, 4층 (서교동)4042KT&G 상상마당 cinema2024-04-05 17:49:51U2023-12-04 00:07:00.0<NA>192952.420678449862.465821<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
553130000CDFF42200020220000012022-02-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 마포구 동교동 166-14 동교동 스타피카소서울특별시 마포구 양화로 176, 2관 8층 (동교동)4051독립영화전용관 인디스페이스2023-11-01 16:20:31U2022-11-01 00:04:00.0<NA>193282.1308450549.280167<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>