Overview

Dataset statistics

Number of variables56
Number of observations24
Missing cells884
Missing cells (%)65.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory496.5 B

Variable types

Categorical8
Text5
DateTime4
Unsupported35
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
Author용산구
URLhttps://data.seoul.go.kr/dataList/OA-17679/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
소재지우편번호 is highly imbalanced (57.6%)Imbalance
인허가취소일자 has 24 (100.0%) missing valuesMissing
폐업일자 has 13 (54.2%) missing valuesMissing
휴업시작일자 has 24 (100.0%) missing valuesMissing
휴업종료일자 has 24 (100.0%) missing valuesMissing
재개업일자 has 24 (100.0%) missing valuesMissing
전화번호 has 11 (45.8%) missing valuesMissing
소재지면적 has 24 (100.0%) missing valuesMissing
도로명주소 has 4 (16.7%) missing valuesMissing
도로명우편번호 has 8 (33.3%) missing valuesMissing
업태구분명 has 24 (100.0%) missing valuesMissing
좌표정보(X) has 1 (4.2%) missing valuesMissing
좌표정보(Y) has 1 (4.2%) missing valuesMissing
문화사업자구분명 has 24 (100.0%) missing valuesMissing
총층수 has 24 (100.0%) missing valuesMissing
주변환경명 has 24 (100.0%) missing valuesMissing
제작취급품목내용 has 24 (100.0%) missing valuesMissing
시설면적 has 24 (100.0%) missing valuesMissing
지상층수 has 24 (100.0%) missing valuesMissing
지하층수 has 24 (100.0%) missing valuesMissing
건물용도명 has 24 (100.0%) missing valuesMissing
통로너비 has 24 (100.0%) missing valuesMissing
조명시설조도 has 24 (100.0%) missing valuesMissing
노래방실수 has 24 (100.0%) missing valuesMissing
청소년실수 has 24 (100.0%) missing valuesMissing
비상계단여부 has 24 (100.0%) missing valuesMissing
비상구여부 has 24 (100.0%) missing valuesMissing
자동환기여부 has 24 (100.0%) missing valuesMissing
청소년실여부 has 24 (100.0%) missing valuesMissing
특수조명여부 has 24 (100.0%) missing valuesMissing
방음시설여부 has 24 (100.0%) missing valuesMissing
비디오재생기명 has 24 (100.0%) missing valuesMissing
조명시설유무 has 24 (100.0%) missing valuesMissing
음향시설여부 has 24 (100.0%) missing valuesMissing
편의시설여부 has 24 (100.0%) missing valuesMissing
소방시설여부 has 24 (100.0%) missing valuesMissing
총게임기수 has 24 (100.0%) missing valuesMissing
기존게임업외업종명 has 24 (100.0%) missing valuesMissing
제공게임물명 has 24 (100.0%) missing valuesMissing
공연장형태구분명 has 24 (100.0%) missing valuesMissing
품목명 has 24 (100.0%) missing valuesMissing
최초등록시점 has 6 (25.0%) missing valuesMissing
지역구분명 has 24 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
지번주소 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 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
시설면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지상층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 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
통로너비 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
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-29 19:25:50.386463
Analysis finished2024-04-29 19:25:51.129723
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
3020000
24 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3020000
2nd row3020000
3rd row3020000
4th row3020000
5th row3020000

Common Values

ValueCountFrequency (%)
3020000 24
100.0%

Length

2024-04-30T04:25:51.192750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:51.273005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 24
100.0%

관리번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-30T04:25:51.451880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters480
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

Unique24 ?
Unique (%)100.0%

Sample

1st rowCDFF5211041999000001
2nd rowCDFF5211041999000002
3rd rowCDFF5211042002000001
4th rowCDFF5211042004000001
5th rowCDFF5211042006000001
ValueCountFrequency (%)
cdff5211041999000001 1
 
4.2%
cdff5211041999000002 1
 
4.2%
cdff5211042023000001 1
 
4.2%
cdff5211042021000002 1
 
4.2%
cdff5211042021000001 1
 
4.2%
cdff5211042020000003 1
 
4.2%
cdff5211042020000002 1
 
4.2%
cdff5211042017000003 1
 
4.2%
cdff5211042017000002 1
 
4.2%
cdff5211042017000001 1
 
4.2%
Other values (14) 14
58.3%
2024-04-30T04:25:51.760957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 176
36.7%
1 72
15.0%
2 59
 
12.3%
F 48
 
10.0%
4 26
 
5.4%
5 25
 
5.2%
C 24
 
5.0%
D 24
 
5.0%
9 8
 
1.7%
3 8
 
1.7%
Other values (3) 10
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 384
80.0%
Uppercase Letter 96
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 176
45.8%
1 72
18.8%
2 59
 
15.4%
4 26
 
6.8%
5 25
 
6.5%
9 8
 
2.1%
3 8
 
2.1%
6 6
 
1.6%
7 3
 
0.8%
8 1
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
80.0%
Latin 96
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 176
45.8%
1 72
18.8%
2 59
 
15.4%
4 26
 
6.8%
5 25
 
6.5%
9 8
 
2.1%
3 8
 
2.1%
6 6
 
1.6%
7 3
 
0.8%
8 1
 
0.3%
Latin
ValueCountFrequency (%)
F 48
50.0%
C 24
25.0%
D 24
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 176
36.7%
1 72
15.0%
2 59
 
12.3%
F 48
 
10.0%
4 26
 
5.4%
5 25
 
5.2%
C 24
 
5.0%
D 24
 
5.0%
9 8
 
1.7%
3 8
 
1.7%
Other values (3) 10
 
2.1%

인허가일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum1999-09-04 00:00:00
Maximum2023-12-12 00:00:00
2024-04-30T04:25:51.899765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:25:52.008021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B
Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
1
13 
3
10 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 13
54.2%
3 10
41.7%
5 1
 
4.2%

Length

2024-04-30T04:25:52.115354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:52.198969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
54.2%
3 10
41.7%
5 1
 
4.2%

영업상태명
Categorical

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업/정상
13 
폐업
10 
제외/삭제/전출
 
1

Length

Max length8
Median length5
Mean length3.875
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 13
54.2%
폐업 10
41.7%
제외/삭제/전출 1
 
4.2%

Length

2024-04-30T04:25:52.298110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:52.396630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 13
54.2%
폐업 10
41.7%
제외/삭제/전출 1
 
4.2%
Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
13
13 
3
10 
15
 
1

Length

Max length2
Median length2
Mean length1.5833333
Min length1

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
13 13
54.2%
3 10
41.7%
15 1
 
4.2%

Length

2024-04-30T04:25:52.495740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:52.586972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 13
54.2%
3 10
41.7%
15 1
 
4.2%
Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
영업중
13 
폐업
10 
전출
 
1

Length

Max length3
Median length3
Mean length2.5416667
Min length2

Unique

Unique1 ?
Unique (%)4.2%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 13
54.2%
폐업 10
41.7%
전출 1
 
4.2%

Length

2024-04-30T04:25:52.688099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:52.779090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 13
54.2%
폐업 10
41.7%
전출 1
 
4.2%

폐업일자
Date

MISSING 

Distinct11
Distinct (%)100.0%
Missing13
Missing (%)54.2%
Memory size324.0 B
Minimum2010-04-30 00:00:00
Maximum2024-04-04 00:00:00
2024-04-30T04:25:52.858741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:25:52.948846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

전화번호
Text

MISSING 

Distinct12
Distinct (%)92.3%
Missing11
Missing (%)45.8%
Memory size324.0 B
2024-04-30T04:25:53.102606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.923077
Min length8

Characters and Unicode

Total characters142
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

Unique11 ?
Unique (%)84.6%

Sample

1st row777-8894~5
2nd row747-6295
3rd row3443-2568
4th row02-2012-2512
5th row02-749-3081
ValueCountFrequency (%)
02-797-7589 2
15.4%
777-8894~5 1
7.7%
747-6295 1
7.7%
3443-2568 1
7.7%
02-2012-2512 1
7.7%
02-749-3081 1
7.7%
02-790-1826 1
7.7%
02-371-6660 1
7.7%
02-3279-2215 1
7.7%
02-3443-4393 1
7.7%
Other values (2) 2
15.4%
2024-04-30T04:25:53.399124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 23
16.2%
2 20
14.1%
0 18
12.7%
7 16
11.3%
3 12
8.5%
4 11
7.7%
9 10
7.0%
5 10
7.0%
6 8
 
5.6%
8 7
 
4.9%
Other values (2) 7
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 118
83.1%
Dash Punctuation 23
 
16.2%
Math Symbol 1
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20
16.9%
0 18
15.3%
7 16
13.6%
3 12
10.2%
4 11
9.3%
9 10
8.5%
5 10
8.5%
6 8
 
6.8%
8 7
 
5.9%
1 6
 
5.1%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 142
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 23
16.2%
2 20
14.1%
0 18
12.7%
7 16
11.3%
3 12
8.5%
4 11
7.7%
9 10
7.0%
5 10
7.0%
6 8
 
5.6%
8 7
 
4.9%
Other values (2) 7
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 142
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 23
16.2%
2 20
14.1%
0 18
12.7%
7 16
11.3%
3 12
8.5%
4 11
7.7%
9 10
7.0%
5 10
7.0%
6 8
 
5.6%
8 7
 
4.9%
Other values (2) 7
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
<NA>
20 
140901
 
1
140885
 
1
140013
 
1
140140
 
1

Length

Max length6
Median length4
Mean length4.3333333
Min length4

Unique

Unique4 ?
Unique (%)16.7%

Sample

1st row140901
2nd row<NA>
3rd row<NA>
4th row140885
5th row140013

Common Values

ValueCountFrequency (%)
<NA> 20
83.3%
140901 1
 
4.2%
140885 1
 
4.2%
140013 1
 
4.2%
140140 1
 
4.2%

Length

2024-04-30T04:25:53.551122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:53.655229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
83.3%
140901 1
 
4.2%
140885 1
 
4.2%
140013 1
 
4.2%
140140 1
 
4.2%

지번주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-30T04:25:53.843536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length27.583333
Min length15

Characters and Unicode

Total characters662
Distinct characters76
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

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 용산구 후암동 244-80번지 대도빌딩 304호
2nd row서울특별시 용산구 용산동2가 1-717
3rd row서울특별시 용산구 한강로3가 16-9번지
4th row서울특별시 용산구 한남동 31-3번지
5th row서울특별시 용산구 한강로3가 65-230번지 트럼프월드3차 102동 2701호
ValueCountFrequency (%)
서울특별시 24
19.5%
용산구 24
19.5%
한강로3가 8
 
6.5%
한남동 7
 
5.7%
용산동2가 3
 
2.4%
602호 2
 
1.6%
6층 2
 
1.6%
용산전자오피스텔 2
 
1.6%
서계동 2
 
1.6%
포트힐(fort 1
 
0.8%
Other values (48) 48
39.0%
2024-04-30T04:25:54.168937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
16.8%
29
 
4.4%
29
 
4.4%
27
 
4.1%
24
 
3.6%
24
 
3.6%
24
 
3.6%
24
 
3.6%
24
 
3.6%
3 23
 
3.5%
Other values (66) 323
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
57.4%
Decimal Number 138
 
20.8%
Space Separator 111
 
16.8%
Dash Punctuation 22
 
3.3%
Lowercase Letter 6
 
0.9%
Uppercase Letter 3
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
7.6%
29
 
7.6%
27
 
7.1%
24
 
6.3%
24
 
6.3%
24
 
6.3%
24
 
6.3%
24
 
6.3%
18
 
4.7%
17
 
4.5%
Other values (44) 140
36.8%
Decimal Number
ValueCountFrequency (%)
3 23
16.7%
1 21
15.2%
2 20
14.5%
6 18
13.0%
4 14
10.1%
0 14
10.1%
5 9
 
6.5%
9 7
 
5.1%
7 6
 
4.3%
8 6
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
l 2
33.3%
r 1
16.7%
t 1
16.7%
i 1
16.7%
o 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
H 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
57.4%
Common 273
41.2%
Latin 9
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
7.6%
29
 
7.6%
27
 
7.1%
24
 
6.3%
24
 
6.3%
24
 
6.3%
24
 
6.3%
24
 
6.3%
18
 
4.7%
17
 
4.5%
Other values (44) 140
36.8%
Common
ValueCountFrequency (%)
111
40.7%
3 23
 
8.4%
- 22
 
8.1%
1 21
 
7.7%
2 20
 
7.3%
6 18
 
6.6%
4 14
 
5.1%
0 14
 
5.1%
5 9
 
3.3%
9 7
 
2.6%
Other values (4) 14
 
5.1%
Latin
ValueCountFrequency (%)
l 2
22.2%
F 1
11.1%
r 1
11.1%
t 1
11.1%
H 1
11.1%
i 1
11.1%
o 1
11.1%
B 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
57.4%
ASCII 282
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
39.4%
3 23
 
8.2%
- 22
 
7.8%
1 21
 
7.4%
2 20
 
7.1%
6 18
 
6.4%
4 14
 
5.0%
0 14
 
5.0%
5 9
 
3.2%
9 7
 
2.5%
Other values (12) 23
 
8.2%
Hangul
ValueCountFrequency (%)
29
 
7.6%
29
 
7.6%
27
 
7.1%
24
 
6.3%
24
 
6.3%
24
 
6.3%
24
 
6.3%
24
 
6.3%
18
 
4.7%
17
 
4.5%
Other values (44) 140
36.8%

도로명주소
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing4
Missing (%)16.7%
Memory size324.0 B
2024-04-30T04:25:54.388527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length35.45
Min length23

Characters and Unicode

Total characters709
Distinct characters90
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)100.0%

Sample

1st row서울특별시 용산구 신흥로 120-5 (용산동2가)
2nd row서울특별시 용산구 청파로 74 (한강로3가)
3rd row서울특별시 용산구 한강대로 26, 102동 2701호 (한강로3가,트럼프월드3차)
4th row서울특별시 용산구 효창원로104나길 34 (서계동,1층)
5th row서울특별시 용산구 한남대로21길 17 (한남동,신화빌딩 6층)
ValueCountFrequency (%)
서울특별시 20
 
15.4%
용산구 20
 
15.4%
한강로3가 7
 
5.4%
한남동 5
 
3.8%
청파로 4
 
3.1%
독서당로 3
 
2.3%
6층 3
 
2.3%
용산동2가 3
 
2.3%
2층 2
 
1.5%
1층 2
 
1.5%
Other values (54) 61
46.9%
2024-04-30T04:25:54.710357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
15.8%
28
 
3.9%
1 28
 
3.9%
27
 
3.8%
25
 
3.5%
25
 
3.5%
, 23
 
3.2%
) 22
 
3.1%
( 22
 
3.1%
21
 
3.0%
Other values (80) 376
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 400
56.4%
Decimal Number 116
 
16.4%
Space Separator 112
 
15.8%
Other Punctuation 23
 
3.2%
Close Punctuation 22
 
3.1%
Open Punctuation 22
 
3.1%
Lowercase Letter 6
 
0.8%
Dash Punctuation 5
 
0.7%
Uppercase Letter 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
28
 
7.0%
27
 
6.8%
25
 
6.2%
25
 
6.2%
21
 
5.2%
21
 
5.2%
20
 
5.0%
20
 
5.0%
20
 
5.0%
20
 
5.0%
Other values (57) 173
43.2%
Decimal Number
ValueCountFrequency (%)
1 28
24.1%
3 20
17.2%
2 20
17.2%
0 12
10.3%
5 11
 
9.5%
6 9
 
7.8%
4 8
 
6.9%
7 5
 
4.3%
8 2
 
1.7%
9 1
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
l 2
33.3%
i 1
16.7%
t 1
16.7%
r 1
16.7%
o 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
H 1
33.3%
F 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
112
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 400
56.4%
Common 300
42.3%
Latin 9
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
28
 
7.0%
27
 
6.8%
25
 
6.2%
25
 
6.2%
21
 
5.2%
21
 
5.2%
20
 
5.0%
20
 
5.0%
20
 
5.0%
20
 
5.0%
Other values (57) 173
43.2%
Common
ValueCountFrequency (%)
112
37.3%
1 28
 
9.3%
, 23
 
7.7%
) 22
 
7.3%
( 22
 
7.3%
3 20
 
6.7%
2 20
 
6.7%
0 12
 
4.0%
5 11
 
3.7%
6 9
 
3.0%
Other values (5) 21
 
7.0%
Latin
ValueCountFrequency (%)
l 2
22.2%
i 1
11.1%
t 1
11.1%
H 1
11.1%
r 1
11.1%
o 1
11.1%
F 1
11.1%
B 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 400
56.4%
ASCII 309
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
36.2%
1 28
 
9.1%
, 23
 
7.4%
) 22
 
7.1%
( 22
 
7.1%
3 20
 
6.5%
2 20
 
6.5%
0 12
 
3.9%
5 11
 
3.6%
6 9
 
2.9%
Other values (13) 30
 
9.7%
Hangul
ValueCountFrequency (%)
28
 
7.0%
27
 
6.8%
25
 
6.2%
25
 
6.2%
21
 
5.2%
21
 
5.2%
20
 
5.0%
20
 
5.0%
20
 
5.0%
20
 
5.0%
Other values (57) 173
43.2%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)81.2%
Missing8
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean38431.75
Minimum4302
Maximum140884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:25:54.807946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4302
5-th percentile4329
Q14373
median4381.5
Q338320.5
95-th percentile140793.25
Maximum140884
Range136582
Interquartile range (IQR)33947.5

Descriptive statistics

Standard deviation60924.318
Coefficient of variation (CV)1.5852601
Kurtosis-0.43940633
Mean38431.75
Median Absolute Deviation (MAD)37
Skewness1.2777841
Sum614908
Variance3.7117725 × 109
MonotonicityNot monotonic
2024-04-30T04:25:54.904909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
4379 2
 
8.3%
4338 2
 
8.3%
4373 2
 
8.3%
140022 1
 
4.2%
140749 1
 
4.2%
140884 1
 
4.2%
140763 1
 
4.2%
4417 1
 
4.2%
4377 1
 
4.2%
4302 1
 
4.2%
Other values (3) 3
 
12.5%
(Missing) 8
33.3%
ValueCountFrequency (%)
4302 1
4.2%
4338 2
8.3%
4373 2
8.3%
4377 1
4.2%
4379 2
8.3%
4384 1
4.2%
4410 1
4.2%
4417 1
4.2%
4420 1
4.2%
140022 1
4.2%
ValueCountFrequency (%)
140884 1
4.2%
140763 1
4.2%
140749 1
4.2%
140022 1
4.2%
4420 1
4.2%
4417 1
4.2%
4410 1
4.2%
4384 1
4.2%
4379 2
8.3%
4377 1
4.2%

사업장명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-30T04:25:55.067553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length10.541667
Min length2

Characters and Unicode

Total characters253
Distinct characters108
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row서울동화
2nd row서경필름
3rd row주식회사 에스와이에스홀딩스
4th row(주)에이넷코리아
5th row(주)리치플러스
ValueCountFrequency (%)
주식회사 8
22.9%
서울동화 1
 
2.9%
pictures 1
 
2.9%
pixels 1
 
2.9%
주)화이트픽셀(white 1
 
2.9%
쇼나우 1
 
2.9%
국립극단 1
 
2.9%
재단법인 1
 
2.9%
스튜디오보난자 1
 
2.9%
오디언스(audience 1
 
2.9%
Other values (18) 18
51.4%
2024-04-30T04:25:55.382850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
6.7%
15
 
5.9%
( 12
 
4.7%
) 12
 
4.7%
11
 
4.3%
11
 
4.3%
8
 
3.2%
8
 
3.2%
8
 
3.2%
5
 
2.0%
Other values (98) 146
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
73.1%
Uppercase Letter 21
 
8.3%
Open Punctuation 12
 
4.7%
Close Punctuation 12
 
4.7%
Space Separator 11
 
4.3%
Lowercase Letter 11
 
4.3%
Other Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
9.2%
15
 
8.1%
11
 
5.9%
8
 
4.3%
8
 
4.3%
8
 
4.3%
5
 
2.7%
5
 
2.7%
5
 
2.7%
4
 
2.2%
Other values (70) 99
53.5%
Uppercase Letter
ValueCountFrequency (%)
E 4
19.0%
I 3
14.3%
W 2
9.5%
P 2
9.5%
L 1
 
4.8%
A 1
 
4.8%
S 1
 
4.8%
D 1
 
4.8%
U 1
 
4.8%
T 1
 
4.8%
Other values (4) 4
19.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
18.2%
s 1
9.1%
e 1
9.1%
u 1
9.1%
r 1
9.1%
t 1
9.1%
c 1
9.1%
i 1
9.1%
y 1
9.1%
k 1
9.1%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
73.5%
Common 35
 
13.8%
Latin 32
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
9.1%
15
 
8.1%
11
 
5.9%
8
 
4.3%
8
 
4.3%
8
 
4.3%
5
 
2.7%
5
 
2.7%
5
 
2.7%
4
 
2.2%
Other values (71) 100
53.8%
Latin
ValueCountFrequency (%)
E 4
 
12.5%
I 3
 
9.4%
W 2
 
6.2%
o 2
 
6.2%
P 2
 
6.2%
L 1
 
3.1%
A 1
 
3.1%
S 1
 
3.1%
D 1
 
3.1%
s 1
 
3.1%
Other values (14) 14
43.8%
Common
ValueCountFrequency (%)
( 12
34.3%
) 12
34.3%
11
31.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
73.1%
ASCII 67
 
26.5%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
17
 
9.2%
15
 
8.1%
11
 
5.9%
8
 
4.3%
8
 
4.3%
8
 
4.3%
5
 
2.7%
5
 
2.7%
5
 
2.7%
4
 
2.2%
Other values (70) 99
53.5%
ASCII
ValueCountFrequency (%)
( 12
17.9%
) 12
17.9%
11
16.4%
E 4
 
6.0%
I 3
 
4.5%
W 2
 
3.0%
o 2
 
3.0%
P 2
 
3.0%
L 1
 
1.5%
A 1
 
1.5%
Other values (17) 17
25.4%
None
ValueCountFrequency (%)
1
100.0%

최종수정일자
Date

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2010-04-28 16:33:24
Maximum2024-04-05 09:52:37
2024-04-30T04:25:55.514110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:25:55.622912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
I
15 
U

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 15
62.5%
U 9
37.5%

Length

2024-04-30T04:25:55.739251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:55.814363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 15
62.5%
u 9
37.5%
Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:07:00
2024-04-30T04:25:55.881212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T04:25:55.967309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean198380.91
Minimum196118.75
Maximum201092.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:25:56.058208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196118.75
5-th percentile196143.95
Q1196781.16
median198370.86
Q3200376.42
95-th percentile201045.36
Maximum201092.64
Range4973.8891
Interquartile range (IQR)3595.2611

Descriptive statistics

Standard deviation1821.9253
Coefficient of variation (CV)0.0091839748
Kurtosis-1.6014066
Mean198380.91
Median Absolute Deviation (MAD)1692.0782
Skewness0.28727693
Sum4562761
Variance3319411.9
MonotonicityNot monotonic
2024-04-30T04:25:56.176008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
196118.749575977 2
 
8.3%
198370.861905551 1
 
4.2%
196697.953737986 1
 
4.2%
199146.993277398 1
 
4.2%
201070.187785081 1
 
4.2%
200571.725921493 1
 
4.2%
197099.796563071 1
 
4.2%
198576.717792449 1
 
4.2%
196864.360553566 1
 
4.2%
198791.672718031 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
196118.749575977 2
8.3%
196370.746398773 1
4.2%
196655.421475644 1
4.2%
196678.783699399 1
4.2%
196697.953737986 1
4.2%
196864.360553566 1
4.2%
196890.919333577 1
4.2%
196920.160666 1
4.2%
197099.796563071 1
4.2%
197202.846269061 1
4.2%
ValueCountFrequency (%)
201092.638680747 1
4.2%
201070.187785081 1
4.2%
200821.875716478 1
4.2%
200732.91120363 1
4.2%
200571.725921493 1
4.2%
200506.526414837 1
4.2%
200246.310074525 1
4.2%
199214.10239741 1
4.2%
199146.993277398 1
4.2%
198791.672718031 1
4.2%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)95.7%
Missing1
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean448107.02
Minimum446703.43
Maximum450079.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:25:56.270359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446703.43
5-th percentile446789.96
Q1447480
median447984.67
Q3448833.73
95-th percentile449853.82
Maximum450079.43
Range3376.0016
Interquartile range (IQR)1353.7264

Descriptive statistics

Standard deviation947.36057
Coefficient of variation (CV)0.0021141391
Kurtosis-0.4063384
Mean448107.02
Median Absolute Deviation (MAD)836.06348
Skewness0.44295014
Sum10306461
Variance897492.04
MonotonicityNot monotonic
2024-04-30T04:25:56.363116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
447760.157527455 2
 
8.3%
449179.260344456 1
 
4.2%
447071.362160663 1
 
4.2%
446703.426383454 1
 
4.2%
448288.443792419 1
 
4.2%
447793.924058853 1
 
4.2%
450079.427998316 1
 
4.2%
449109.482431651 1
 
4.2%
447707.403309726 1
 
4.2%
448820.732249455 1
 
4.2%
Other values (12) 12
50.0%
ValueCountFrequency (%)
446703.426383454 1
4.2%
446768.129158285 1
4.2%
446986.411557186 1
4.2%
447045.206052439 1
4.2%
447071.362160663 1
4.2%
447252.59938 1
4.2%
447707.403309726 1
4.2%
447760.157527455 2
8.3%
447793.924058853 1
4.2%
447841.698787531 1
4.2%
ValueCountFrequency (%)
450079.427998316 1
4.2%
449928.767316341 1
4.2%
449179.260344456 1
4.2%
449109.482431651 1
4.2%
448891.794439538 1
4.2%
448846.723234296 1
4.2%
448820.732249455 1
4.2%
448477.788622494 1
4.2%
448288.443792419 1
4.2%
448130.52389849 1
4.2%
Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
영화상영업
18 
<NA>

Length

Max length5
Median length5
Mean length4.75
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화상영업 18
75.0%
<NA> 6
 
25.0%

Length

2024-04-30T04:25:56.477647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T04:25:56.739279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화상영업 18
75.0%
na 6
 
25.0%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

시설면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지상층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing6
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean20094043
Minimum19990904
Maximum20181129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-30T04:25:56.829897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19990904
5-th percentile19990907
Q120060216
median20090462
Q320150692
95-th percentile20172027
Maximum20181129
Range190225
Interquartile range (IQR)90476.25

Descriptive statistics

Standard deviation60934.815
Coefficient of variation (CV)0.0030324815
Kurtosis-1.056327
Mean20094043
Median Absolute Deviation (MAD)54788
Skewness-0.21281126
Sum3.6169278 × 108
Variance3.7130517 × 109
MonotonicityNot monotonic
2024-04-30T04:25:56.946209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20130115 1
 
4.2%
20181129 1
 
4.2%
20150604 1
 
4.2%
20100414 1
 
4.2%
20170421 1
 
4.2%
20161121 1
 
4.2%
20161007 1
 
4.2%
20150722 1
 
4.2%
19990904 1
 
4.2%
19990907 1
 
4.2%
Other values (8) 8
33.3%
(Missing) 6
25.0%
ValueCountFrequency (%)
19990904 1
4.2%
19990907 1
4.2%
20021125 1
4.2%
20041028 1
4.2%
20060118 1
4.2%
20060511 1
4.2%
20061130 1
4.2%
20080602 1
4.2%
20090313 1
4.2%
20090610 1
4.2%
ValueCountFrequency (%)
20181129 1
4.2%
20170421 1
4.2%
20161121 1
4.2%
20161007 1
4.2%
20150722 1
4.2%
20150604 1
4.2%
20130115 1
4.2%
20100414 1
4.2%
20090610 1
4.2%
20090313 1
4.2%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)100.0%
Memory size348.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF521104199900000119990904<NA>1영업/정상13영업중<NA><NA><NA><NA>777-8894~5<NA>140901서울특별시 용산구 후암동 244-80번지 대도빌딩 304호<NA><NA>서울동화2010-04-28 16:33:24I2018-08-31 23:59:59.0<NA><NA><NA>영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990904<NA>
13020000CDFF521104199900000219990907<NA>3폐업3폐업20210408<NA><NA><NA><NA><NA><NA>서울특별시 용산구 용산동2가 1-717서울특별시 용산구 신흥로 120-5 (용산동2가)140022서경필름2021-04-09 08:46:55U2021-04-11 02:40:00.0<NA>198370.861906449179.260344영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19990907<NA>
23020000CDFF521104200200000120021125<NA>3폐업3폐업20141201<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로3가 16-9번지서울특별시 용산구 청파로 74 (한강로3가)140749주식회사 에스와이에스홀딩스2014-12-01 17:09:03I2018-08-31 23:59:59.0<NA>196370.746399447841.698788영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20021125<NA>
33020000CDFF521104200400000120041028<NA>1영업/정상13영업중<NA><NA><NA><NA>747-6295<NA>140885서울특별시 용산구 한남동 31-3번지<NA><NA>(주)에이넷코리아2010-04-28 16:53:05I2018-08-31 23:59:59.0<NA>200821.875716448130.523898영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20041028<NA>
43020000CDFF521104200600000120060118<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>140013서울특별시 용산구 한강로3가 65-230번지 트럼프월드3차 102동 2701호서울특별시 용산구 한강대로 26, 102동 2701호 (한강로3가,트럼프월드3차)<NA>(주)리치플러스2010-04-28 16:57:40I2018-08-31 23:59:59.0<NA>196655.421476446768.129158영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20060118<NA>
53020000CDFF521104200600000220060511<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>140140서울특별시 용산구 서계동 247-35번지 1층서울특별시 용산구 효창원로104나길 34 (서계동,1층)<NA>그린영상2010-04-28 16:59:29I2018-08-31 23:59:59.0<NA>196890.919334449928.767316영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20060511<NA>
63020000CDFF521104200600000320061130<NA>3폐업3폐업20110413<NA><NA><NA>3443-2568<NA><NA>서울특별시 용산구 한남동 635-1번지 신화빌딩 6층서울특별시 용산구 한남대로21길 17 (한남동,신화빌딩 6층)<NA>(주)미로비젼2011-04-13 09:55:53I2018-08-31 23:59:59.0<NA>200506.526415447984.668767영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20061130<NA>
73020000CDFF521104200800000120080602<NA>3폐업3폐업20151123<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로2가 356-2번지 6층<NA><NA>(주)제이에스디에스엔터테인먼트2016-11-23 14:43:00I2018-08-31 23:59:59.0<NA>196920.160666447252.59938영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080602<NA>
83020000CDFF521104200900000120090610<NA>3폐업3폐업20100430<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 29-4번지 B동 604호서울특별시 용산구 독서당로 73-4, B동 604호 (한남동)<NA>오드2010-04-30 11:47:13I2018-08-31 23:59:59.0<NA>200732.911204448033.316711영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090610<NA>
93020000CDFF521104200900000320090313<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 260-199번지 남송빌딩 602호<NA><NA>주식회사 오베론엠앤씨2010-04-30 09:28:26I2018-08-31 23:59:59.0<NA>199214.102397448891.79444영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20090313<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
143020000CDFF521104201600000420161121<NA>3폐업3폐업20190322<NA><NA><NA>02-749-3081<NA><NA>서울특별시 용산구 한강로3가 40-456번지서울특별시 용산구 한강대로15길 9-12, 1층 (한강로3가)4379우키픽쳐스 주식회사2019-03-22 17:57:33U2019-03-24 02:40:00.0<NA>196678.783699447045.206052영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20161121<NA>
153020000CDFF521104201700000120170421<NA>1영업/정상13영업중<NA><NA><NA><NA>02-790-1826<NA><NA>서울특별시 용산구 용산동2가 44-7번지서울특별시 용산구 신흥로 35, 2층 (용산동2가)4338주식회사 필트러스트2017-04-21 18:36:43I2018-08-31 23:59:59.0<NA>198791.672718448820.732249영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20170421<NA>
163020000CDFF521104201700000220100414<NA>1영업/정상13영업중<NA><NA><NA><NA>02-371-6660<NA><NA>서울특별시 용산구 한강로3가 40-961서울특별시 용산구 한강대로23길 55, 6층 (한강로3가, 현대아이파크몰)4377씨제이씨지브이㈜2021-04-09 08:57:29U2021-04-11 02:40:00.0<NA>196864.360554447707.40331영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20100414<NA>
173020000CDFF521104201700000320150604<NA>1영업/정상13영업중<NA><NA><NA><NA>02-797-7589<NA><NA>서울특별시 용산구 한강로3가 16-58번지 용산전자오피스텔 1116호서울특별시 용산구 청파로 48, 1116호 (한강로3가, 용산전자오피스텔)4373(주)미로스페이스2020-06-18 09:19:56U2020-06-20 02:40:00.0<NA>196118.749576447760.157527영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150604<NA>
183020000CDFF52110420200000022016-12-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 용산동2가 33-32 지층서울특별시 용산구 소월로20길 53, 지층 (용산동2가)4338주식회사 오디언스(AUDIENCE)2023-11-23 11:17:42U2022-10-31 22:05:00.0<NA>198576.717792449109.482432<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
193020000CDFF521104202000000320181129<NA>1영업/정상13영업중<NA><NA><NA><NA>02-797-7589<NA><NA>서울특별시 용산구 한강로3가 16-58 용산전자오피스텔서울특별시 용산구 청파로 48, 1동 11층 1116호 (한강로3가, 용산전자오피스텔)4373주식회사 스튜디오보난자2020-12-02 13:49:56I2020-12-04 00:23:19.0<NA>196118.749576447760.157527영화상영업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20181129<NA>
203020000CDFF52110420210000012021-06-14<NA>5제외/삭제/전출15전출2023-08-17<NA><NA><NA>02-3279-2215<NA><NA>서울특별시 용산구 서계동 1서울특별시 용산구 청파로 373 (서계동)4302재단법인 국립극단2023-08-17 17:04:51U2022-12-07 23:09:00.0<NA>197099.796563450079.427998<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213020000CDFF52110420210000022021-08-25<NA>3폐업3폐업2024-04-04<NA><NA><NA>02-3443-4393<NA><NA>서울특별시 용산구 한남동 828 한남아이파크서울특별시 용산구 독서당로 46, 203호 (한남동, 한남아이파크)4410주식회사 쇼나우2024-04-05 09:52:37U2023-12-04 00:07:00.0<NA>200571.725921447793.924059<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223020000CDFF52110420230000012016-10-17<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3443-0550<NA><NA>서울특별시 용산구 한남동 1-90 포트힐(Fort Hill) 빌딩 602호서울특별시 용산구 독서당로 122-1, 포트힐(Fort Hill) 빌딩 602호 (한남동)4420(주)화이트픽셀(WHITE PIXELS)2023-12-08 09:07:13I2022-11-01 23:00:00.0<NA>201070.187785448288.443792<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233020000CDFF52110420230000022023-12-12<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6743-5600<NA><NA>서울특별시 용산구 서빙고동 4-52 비비안 2층서울특별시 용산구 서빙고로51길 52, 비비안 2층 (서빙고동)4384(주)아이오케이컴퍼니2023-12-12 13:48:08I2022-11-01 23:04:00.0<NA>199146.993277446703.426383<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>