Overview

Dataset statistics

Number of variables56
Number of observations39
Missing cells1015
Missing cells (%)46.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.6 KiB
Average record size in memory488.4 B

Variable types

Categorical17
Text6
DateTime4
Unsupported23
Numeric6

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-16819/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
인허가취소일자 is highly imbalanced (74.3%)Imbalance
소재지우편번호 is highly imbalanced (65.6%)Imbalance
문화체육업종명 is highly imbalanced (52.3%)Imbalance
문화사업자구분명 is highly imbalanced (52.3%)Imbalance
조명시설조도 is highly imbalanced (67.1%)Imbalance
폐업일자 has 10 (25.6%) missing valuesMissing
휴업시작일자 has 39 (100.0%) missing valuesMissing
휴업종료일자 has 39 (100.0%) missing valuesMissing
재개업일자 has 39 (100.0%) missing valuesMissing
전화번호 has 30 (76.9%) missing valuesMissing
소재지면적 has 39 (100.0%) missing valuesMissing
도로명주소 has 3 (7.7%) missing valuesMissing
도로명우편번호 has 14 (35.9%) missing valuesMissing
업태구분명 has 39 (100.0%) missing valuesMissing
제작취급품목내용 has 19 (48.7%) missing valuesMissing
시설면적 has 5 (12.8%) missing valuesMissing
지상층수 has 20 (51.3%) missing valuesMissing
통로너비 has 39 (100.0%) missing valuesMissing
노래방실수 has 39 (100.0%) missing valuesMissing
청소년실수 has 39 (100.0%) missing valuesMissing
비상계단여부 has 39 (100.0%) missing valuesMissing
비상구여부 has 39 (100.0%) missing valuesMissing
자동환기여부 has 39 (100.0%) missing valuesMissing
청소년실여부 has 39 (100.0%) missing valuesMissing
특수조명여부 has 39 (100.0%) missing valuesMissing
방음시설여부 has 39 (100.0%) missing valuesMissing
비디오재생기명 has 39 (100.0%) missing valuesMissing
조명시설유무 has 39 (100.0%) missing valuesMissing
음향시설여부 has 39 (100.0%) missing valuesMissing
편의시설여부 has 39 (100.0%) missing valuesMissing
소방시설여부 has 39 (100.0%) missing valuesMissing
총게임기수 has 17 (43.6%) missing valuesMissing
기존게임업외업종명 has 39 (100.0%) missing valuesMissing
공연장형태구분명 has 39 (100.0%) missing valuesMissing
품목명 has 39 (100.0%) missing valuesMissing
최초등록시점 has 39 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 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
통로너비 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
기존게임업외업종명 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
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-06 12:07:37.050979
Analysis finished2024-04-06 12:07:38.125820
Duration1.07 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size444.0 B
3020000
39 

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 39
100.0%

Length

2024-04-06T21:07:38.245522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:38.402774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3020000 39
100.0%

관리번호
Text

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-06T21:07:38.724422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters780
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

Unique39 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142005000001
2nd rowCDFF2241142008000001
3rd rowCDFF2241142008000002
4th rowCDFF2241142008000003
5th rowCDFF2241142008000004
ValueCountFrequency (%)
cdff2241142005000001 1
 
2.6%
cdff2241142012000002 1
 
2.6%
cdff2241142013000001 1
 
2.6%
cdff2241142014000001 1
 
2.6%
cdff2241142016000001 1
 
2.6%
cdff2241142016000002 1
 
2.6%
cdff2241142017000001 1
 
2.6%
cdff2241142017000002 1
 
2.6%
cdff2241142017000003 1
 
2.6%
cdff2241142012000003 1
 
2.6%
Other values (29) 29
74.4%
2024-04-06T21:07:39.405617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 251
32.2%
2 132
16.9%
1 117
15.0%
4 85
 
10.9%
F 78
 
10.0%
C 39
 
5.0%
D 39
 
5.0%
9 11
 
1.4%
8 9
 
1.2%
3 7
 
0.9%
Other values (3) 12
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 624
80.0%
Uppercase Letter 156
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 251
40.2%
2 132
21.2%
1 117
18.8%
4 85
 
13.6%
9 11
 
1.8%
8 9
 
1.4%
3 7
 
1.1%
7 6
 
1.0%
5 3
 
0.5%
6 3
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
F 78
50.0%
C 39
25.0%
D 39
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 624
80.0%
Latin 156
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 251
40.2%
2 132
21.2%
1 117
18.8%
4 85
 
13.6%
9 11
 
1.8%
8 9
 
1.4%
3 7
 
1.1%
7 6
 
1.0%
5 3
 
0.5%
6 3
 
0.5%
Latin
ValueCountFrequency (%)
F 78
50.0%
C 39
25.0%
D 39
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 251
32.2%
2 132
16.9%
1 117
15.0%
4 85
 
10.9%
F 78
 
10.0%
C 39
 
5.0%
D 39
 
5.0%
9 11
 
1.4%
8 9
 
1.2%
3 7
 
0.9%
Other values (3) 12
 
1.5%

인허가일자
Date

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2005-08-10 00:00:00
Maximum2024-02-28 00:00:00
2024-04-06T21:07:39.646444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:07:39.896436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
36 
20080910
 
1
20100129
 
1
20111011
 
1

Length

Max length8
Median length4
Mean length4.3076923
Min length4

Unique

Unique3 ?
Unique (%)7.7%

Sample

1st row<NA>
2nd row20080910
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
92.3%
20080910 1
 
2.6%
20100129 1
 
2.6%
20111011 1
 
2.6%

Length

2024-04-06T21:07:40.161676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:40.387640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
92.3%
20080910 1
 
2.6%
20100129 1
 
2.6%
20111011 1
 
2.6%

영업상태코드
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
3
20 
4
12 
1
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 20
51.3%
4 12
30.8%
1 7
 
17.9%

Length

2024-04-06T21:07:40.598299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:40.782667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 20
51.3%
4 12
30.8%
1 7
 
17.9%

영업상태명
Categorical

Distinct3
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size444.0 B
폐업
20 
취소/말소/만료/정지/중지
12 
영업/정상
7 

Length

Max length14
Median length2
Mean length6.2307692
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row취소/말소/만료/정지/중지
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 20
51.3%
취소/말소/만료/정지/중지 12
30.8%
영업/정상 7
 
17.9%

Length

2024-04-06T21:07:41.002726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:41.202955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 20
51.3%
취소/말소/만료/정지/중지 12
30.8%
영업/정상 7
 
17.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
3
20 
35
9 
13
7 
31
3 

Length

Max length2
Median length1
Mean length1.4871795
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row31
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 20
51.3%
35 9
23.1%
13 7
 
17.9%
31 3
 
7.7%

Length

2024-04-06T21:07:41.409765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:41.593391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 20
51.3%
35 9
23.1%
13 7
 
17.9%
31 3
 
7.7%

상세영업상태명
Categorical

Distinct4
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size444.0 B
폐업
20 
직권말소
9 
영업중
7 
등록취소
3 

Length

Max length4
Median length2
Mean length2.7948718
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 20
51.3%
직권말소 9
23.1%
영업중 7
 
17.9%
등록취소 3
 
7.7%

Length

2024-04-06T21:07:41.822794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:42.157990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 20
51.3%
직권말소 9
23.1%
영업중 7
 
17.9%
등록취소 3
 
7.7%

폐업일자
Date

MISSING 

Distinct24
Distinct (%)82.8%
Missing10
Missing (%)25.6%
Memory size444.0 B
Minimum2008-06-18 00:00:00
Maximum2024-03-12 00:00:00
2024-04-06T21:07:42.379679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:07:42.665359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

전화번호
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing30
Missing (%)76.9%
Memory size444.0 B
2024-04-06T21:07:42.957002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.111111
Min length8

Characters and Unicode

Total characters91
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

Unique9 ?
Unique (%)100.0%

Sample

1st row2012-0703
2nd row3272-0400
3rd row02-2012-0703
4th row714-8954
5th row792-0001
ValueCountFrequency (%)
2012-0703 1
11.1%
3272-0400 1
11.1%
02-2012-0703 1
11.1%
714-8954 1
11.1%
792-0001 1
11.1%
02)798-5796 1
11.1%
02-711-3331 1
11.1%
02-390-8643 1
11.1%
054-624-1009 1
11.1%
2024-04-06T21:07:43.518975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20
22.0%
- 13
14.3%
2 12
13.2%
1 8
 
8.8%
7 8
 
8.8%
3 8
 
8.8%
4 6
 
6.6%
9 6
 
6.6%
8 3
 
3.3%
5 3
 
3.3%
Other values (2) 4
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 77
84.6%
Dash Punctuation 13
 
14.3%
Close Punctuation 1
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
26.0%
2 12
15.6%
1 8
 
10.4%
7 8
 
10.4%
3 8
 
10.4%
4 6
 
7.8%
9 6
 
7.8%
8 3
 
3.9%
5 3
 
3.9%
6 3
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 91
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20
22.0%
- 13
14.3%
2 12
13.2%
1 8
 
8.8%
7 8
 
8.8%
3 8
 
8.8%
4 6
 
6.6%
9 6
 
6.6%
8 3
 
3.3%
5 3
 
3.3%
Other values (2) 4
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20
22.0%
- 13
14.3%
2 12
13.2%
1 8
 
8.8%
7 8
 
8.8%
3 8
 
8.8%
4 6
 
6.6%
9 6
 
6.6%
8 3
 
3.3%
5 3
 
3.3%
Other values (2) 4
 
4.4%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
34 
140821
 
2
140780
 
1
140807
 
1
140806
 
1

Length

Max length6
Median length4
Mean length4.2564103
Min length4

Unique

Unique3 ?
Unique (%)7.7%

Sample

1st row140780
2nd row140807
3rd row140806
4th row<NA>
5th row140821

Common Values

ValueCountFrequency (%)
<NA> 34
87.2%
140821 2
 
5.1%
140780 1
 
2.6%
140807 1
 
2.6%
140806 1
 
2.6%

Length

2024-04-06T21:07:43.818100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:44.117288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
87.2%
140821 2
 
5.1%
140780 1
 
2.6%
140807 1
 
2.6%
140806 1
 
2.6%

지번주소
Text

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-06T21:07:44.622189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30
Mean length25.564103
Min length18

Characters and Unicode

Total characters997
Distinct characters70
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)94.9%

Sample

1st row서울특별시 용산구 한강로3가 40-999번지 용산민자역사 703호
2nd row서울특별시 용산구 갈월동 98-1번지 1층호
3rd row서울특별시 용산구 갈월동 69-46번지 1층호
4th row서울특별시 용산구 한강로3가 40-961번지 스페이스9 703,704호
5th row서울특별시 용산구 동자동 43-121번지 1층호
ValueCountFrequency (%)
서울특별시 39
20.6%
용산구 39
20.6%
한강로3가 6
 
3.2%
동자동 6
 
3.2%
이태원동 5
 
2.6%
갈월동 5
 
2.6%
2층 5
 
2.6%
지하1층 3
 
1.6%
한남동 3
 
1.6%
1층호 3
 
1.6%
Other values (64) 75
39.7%
2024-04-06T21:07:45.524831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
 
18.0%
용 43
 
4.3%
산 43
 
4.3%
서 40
 
4.0%
시 40
 
4.0%
울 40
 
4.0%
특 39
 
3.9%
별 39
 
3.9%
구 39
 
3.9%
지 37
 
3.7%
Other values (60) 458
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 583
58.5%
Decimal Number 198
 
19.9%
Space Separator 179
 
18.0%
Dash Punctuation 35
 
3.5%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 43
 
7.4%
산 43
 
7.4%
서 40
 
6.9%
시 40
 
6.9%
울 40
 
6.9%
특 39
 
6.7%
별 39
 
6.7%
구 39
 
6.7%
지 37
 
6.3%
동 34
 
5.8%
Other values (47) 189
32.4%
Decimal Number
ValueCountFrequency (%)
1 36
18.2%
3 32
16.2%
2 29
14.6%
9 19
9.6%
4 19
9.6%
6 17
8.6%
0 16
8.1%
8 11
 
5.6%
5 10
 
5.1%
7 9
 
4.5%
Space Separator
ValueCountFrequency (%)
179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 583
58.5%
Common 414
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 43
 
7.4%
산 43
 
7.4%
서 40
 
6.9%
시 40
 
6.9%
울 40
 
6.9%
특 39
 
6.7%
별 39
 
6.7%
구 39
 
6.7%
지 37
 
6.3%
동 34
 
5.8%
Other values (47) 189
32.4%
Common
ValueCountFrequency (%)
179
43.2%
1 36
 
8.7%
- 35
 
8.5%
3 32
 
7.7%
2 29
 
7.0%
9 19
 
4.6%
4 19
 
4.6%
6 17
 
4.1%
0 16
 
3.9%
8 11
 
2.7%
Other values (3) 21
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 583
58.5%
ASCII 414
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
43.2%
1 36
 
8.7%
- 35
 
8.5%
3 32
 
7.7%
2 29
 
7.0%
9 19
 
4.6%
4 19
 
4.6%
6 17
 
4.1%
0 16
 
3.9%
8 11
 
2.7%
Other values (3) 21
 
5.1%
Hangul
ValueCountFrequency (%)
용 43
 
7.4%
산 43
 
7.4%
서 40
 
6.9%
시 40
 
6.9%
울 40
 
6.9%
특 39
 
6.7%
별 39
 
6.7%
구 39
 
6.7%
지 37
 
6.3%
동 34
 
5.8%
Other values (47) 189
32.4%

도로명주소
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing3
Missing (%)7.7%
Memory size444.0 B
2024-04-06T21:07:46.007695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36.5
Mean length31.611111
Min length23

Characters and Unicode

Total characters1138
Distinct characters91
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

Unique36 ?
Unique (%)100.0%

Sample

1st row서울특별시 용산구 한강대로77길 11, 1층호 (갈월동)
2nd row서울특별시 용산구 한강대로87길 4, 1층호 (갈월동)
3rd row서울특별시 용산구 한강대로23길 55, 703,704호 (한강로3가, 스페이스9)
4th row서울특별시 용산구 한강대로 379-2, 1층호 (동자동)
5th row서울특별시 용산구 한강대로39길 20 (한강로2가,지하1층)
ValueCountFrequency (%)
서울특별시 36
 
16.7%
용산구 36
 
16.7%
한강대로 10
 
4.7%
1층 7
 
3.3%
갈월동 5
 
2.3%
한강로3가 5
 
2.3%
이태원동 4
 
1.9%
동자동 4
 
1.9%
1층호 3
 
1.4%
286-1 2
 
0.9%
Other values (91) 103
47.9%
2024-04-06T21:07:46.874876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
 
16.7%
로 44
 
3.9%
1 43
 
3.8%
용 39
 
3.4%
산 39
 
3.4%
서 38
 
3.3%
울 38
 
3.3%
시 37
 
3.3%
( 36
 
3.2%
) 36
 
3.2%
Other values (81) 598
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 646
56.8%
Space Separator 190
 
16.7%
Decimal Number 181
 
15.9%
Open Punctuation 36
 
3.2%
Close Punctuation 36
 
3.2%
Other Punctuation 34
 
3.0%
Dash Punctuation 10
 
0.9%
Uppercase Letter 3
 
0.3%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 44
 
6.8%
용 39
 
6.0%
산 39
 
6.0%
서 38
 
5.9%
울 38
 
5.9%
시 37
 
5.7%
구 36
 
5.6%
별 36
 
5.6%
특 36
 
5.6%
동 33
 
5.1%
Other values (61) 270
41.8%
Decimal Number
ValueCountFrequency (%)
1 43
23.8%
2 32
17.7%
3 25
13.8%
7 18
9.9%
4 14
 
7.7%
0 14
 
7.7%
5 12
 
6.6%
8 11
 
6.1%
9 6
 
3.3%
6 6
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
T 1
33.3%
Y 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
p 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
190
100.0%
Open Punctuation
ValueCountFrequency (%)
( 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 646
56.8%
Common 487
42.8%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 44
 
6.8%
용 39
 
6.0%
산 39
 
6.0%
서 38
 
5.9%
울 38
 
5.9%
시 37
 
5.7%
구 36
 
5.6%
별 36
 
5.6%
특 36
 
5.6%
동 33
 
5.1%
Other values (61) 270
41.8%
Common
ValueCountFrequency (%)
190
39.0%
1 43
 
8.8%
( 36
 
7.4%
) 36
 
7.4%
, 34
 
7.0%
2 32
 
6.6%
3 25
 
5.1%
7 18
 
3.7%
4 14
 
2.9%
0 14
 
2.9%
Other values (5) 45
 
9.2%
Latin
ValueCountFrequency (%)
p 1
20.0%
N 1
20.0%
T 1
20.0%
Y 1
20.0%
c 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 646
56.8%
ASCII 492
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
38.6%
1 43
 
8.7%
( 36
 
7.3%
) 36
 
7.3%
, 34
 
6.9%
2 32
 
6.5%
3 25
 
5.1%
7 18
 
3.7%
4 14
 
2.8%
0 14
 
2.8%
Other values (10) 50
 
10.2%
Hangul
ValueCountFrequency (%)
로 44
 
6.8%
용 39
 
6.0%
산 39
 
6.0%
서 38
 
5.9%
울 38
 
5.9%
시 37
 
5.7%
구 36
 
5.6%
별 36
 
5.6%
특 36
 
5.6%
동 33
 
5.1%
Other values (61) 270
41.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)72.0%
Missing14
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean37056.76
Minimum4315
Maximum140832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-06T21:07:47.129230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4315
5-th percentile4320
Q14343
median4374
Q34410
95-th percentile140818.2
Maximum140832
Range136517
Interquartile range (IQR)67

Descriptive statistics

Standard deviation59385.085
Coefficient of variation (CV)1.6025439
Kurtosis-0.35353408
Mean37056.76
Median Absolute Deviation (MAD)31
Skewness1.2967224
Sum926419
Variance3.5265883 × 109
MonotonicityNot monotonic
2024-04-06T21:07:47.389947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4372 3
 
7.7%
140160 2
 
5.1%
4374 2
 
5.1%
4320 2
 
5.1%
4343 2
 
5.1%
140807 2
 
5.1%
140832 1
 
2.6%
4350 1
 
2.6%
140821 1
 
2.6%
4394 1
 
2.6%
Other values (8) 8
20.5%
(Missing) 14
35.9%
ValueCountFrequency (%)
4315 1
 
2.6%
4320 2
5.1%
4321 1
 
2.6%
4340 1
 
2.6%
4343 2
5.1%
4350 1
 
2.6%
4366 1
 
2.6%
4372 3
7.7%
4374 2
5.1%
4377 1
 
2.6%
ValueCountFrequency (%)
140832 1
2.6%
140821 1
2.6%
140807 2
5.1%
140160 2
5.1%
4410 1
2.6%
4394 1
2.6%
4391 1
2.6%
4378 1
2.6%
4377 1
2.6%
4374 2
5.1%

사업장명
Text

Distinct38
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
2024-04-06T21:07:47.837635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.0769231
Min length2

Characters and Unicode

Total characters237
Distinct characters97
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

Unique37 ?
Unique (%)94.9%

Sample

1st row조이맥스
2nd row게임랜드
3rd row게임천국오락실
4th row펀잇 용산점
5th rowQ 게임장
ValueCountFrequency (%)
콤콤오락실 2
 
4.3%
게임랜드 2
 
4.3%
인형뽑기 2
 
4.3%
스타배틀 1
 
2.1%
짱오락실 1
 
2.1%
남영게임랜드 1
 
2.1%
복지 1
 
2.1%
인엔인(in&in 1
 
2.1%
주)가양피씨에스 1
 
2.1%
이태원점 1
 
2.1%
Other values (34) 34
72.3%
2024-04-06T21:07:48.736181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 19
 
8.0%
임 19
 
8.0%
드 14
 
5.9%
랜 11
 
4.6%
이 10
 
4.2%
8
 
3.4%
뽑 6
 
2.5%
인 6
 
2.5%
) 5
 
2.1%
( 5
 
2.1%
Other values (87) 134
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213
89.9%
Space Separator 8
 
3.4%
Close Punctuation 5
 
2.1%
Open Punctuation 5
 
2.1%
Lowercase Letter 4
 
1.7%
Other Punctuation 1
 
0.4%
Uppercase Letter 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 19
 
8.9%
임 19
 
8.9%
드 14
 
6.6%
랜 11
 
5.2%
이 10
 
4.7%
뽑 6
 
2.8%
인 6
 
2.8%
오 5
 
2.3%
스 4
 
1.9%
장 4
 
1.9%
Other values (80) 115
54.0%
Lowercase Letter
ValueCountFrequency (%)
n 2
50.0%
i 2
50.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
Q 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
89.9%
Common 19
 
8.0%
Latin 5
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 19
 
8.9%
임 19
 
8.9%
드 14
 
6.6%
랜 11
 
5.2%
이 10
 
4.7%
뽑 6
 
2.8%
인 6
 
2.8%
오 5
 
2.3%
스 4
 
1.9%
장 4
 
1.9%
Other values (80) 115
54.0%
Common
ValueCountFrequency (%)
8
42.1%
) 5
26.3%
( 5
26.3%
& 1
 
5.3%
Latin
ValueCountFrequency (%)
n 2
40.0%
i 2
40.0%
Q 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213
89.9%
ASCII 24
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 19
 
8.9%
임 19
 
8.9%
드 14
 
6.6%
랜 11
 
5.2%
이 10
 
4.7%
뽑 6
 
2.8%
인 6
 
2.8%
오 5
 
2.3%
스 4
 
1.9%
장 4
 
1.9%
Other values (80) 115
54.0%
ASCII
ValueCountFrequency (%)
8
33.3%
) 5
20.8%
( 5
20.8%
n 2
 
8.3%
i 2
 
8.3%
& 1
 
4.2%
Q 1
 
4.2%

최종수정일자
Date

UNIQUE 

Distinct39
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2008-06-18 13:56:25
Maximum2024-03-13 08:57:29
2024-04-06T21:07:48.997132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:07:49.365262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
I
25 
U
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 25
64.1%
U 14
35.9%

Length

2024-04-06T21:07:49.604437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:49.790977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 25
64.1%
u 14
35.9%

데이터갱신일자
Date

Distinct14
Distinct (%)35.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:01:00
2024-04-06T21:07:50.053883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:07:50.256407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

좌표정보(X)
Real number (ℝ)

Distinct35
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197686.54
Minimum196035.19
Maximum200521.21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-06T21:07:50.562236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196035.19
5-th percentile196340.78
Q1196759
median197464.3
Q3198230.45
95-th percentile200372.51
Maximum200521.21
Range4486.0145
Interquartile range (IQR)1471.4509

Descriptive statistics

Standard deviation1226.3697
Coefficient of variation (CV)0.0062036072
Kurtosis0.085209769
Mean197686.54
Median Absolute Deviation (MAD)708.37954
Skewness0.99335852
Sum7709775.2
Variance1503982.5
MonotonicityNot monotonic
2024-04-06T21:07:50.819830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
197462.329828862 2
 
5.1%
197514.333960387 2
 
5.1%
198806.839737317 2
 
5.1%
200372.510693433 2
 
5.1%
196071.054436601 1
 
2.6%
196035.191424116 1
 
2.6%
196605.511573689 1
 
2.6%
197425.329589358 1
 
2.6%
196613.694795575 1
 
2.6%
197538.436534411 1
 
2.6%
Other values (25) 25
64.1%
ValueCountFrequency (%)
196035.191424116 1
2.6%
196071.054436601 1
2.6%
196370.746398773 1
2.6%
196474.48949027 1
2.6%
196522.360946947 1
2.6%
196605.511573689 1
2.6%
196610.663839509 1
2.6%
196613.694795575 1
2.6%
196626.77761415 1
2.6%
196755.916741402 1
2.6%
ValueCountFrequency (%)
200521.205930699 1
2.6%
200372.510693433 2
5.1%
199844.40260826 1
2.6%
199494.240629528 1
2.6%
199332.630661747 1
2.6%
198994.001920861 1
2.6%
198806.839737317 2
5.1%
198795.436788714 1
2.6%
197665.459060757 1
2.6%
197538.436534411 1
2.6%

좌표정보(Y)
Real number (ℝ)

Distinct35
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean448461.62
Minimum447065.85
Maximum450153.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-06T21:07:51.429646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum447065.85
5-th percentile447217.97
Q1447816.79
median448370.81
Q3449029.72
95-th percentile450037.59
Maximum450153.12
Range3087.2718
Interquartile range (IQR)1212.9291

Descriptive statistics

Standard deviation900.12987
Coefficient of variation (CV)0.0020071503
Kurtosis-0.85705853
Mean448461.62
Median Absolute Deviation (MAD)622.23092
Skewness0.39381371
Sum17490003
Variance810233.78
MonotonicityNot monotonic
2024-04-06T21:07:51.665320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
448957.912416926 2
 
5.1%
449066.393308522 2
 
5.1%
448482.524576968 2
 
5.1%
447816.790367918 2
 
5.1%
447065.850891645 1
 
2.6%
447109.755629316 1
 
2.6%
447841.270074498 1
 
2.6%
449746.79133351 1
 
2.6%
447947.09808269 1
 
2.6%
448993.045608483 1
 
2.6%
Other values (25) 25
64.1%
ValueCountFrequency (%)
447065.850891645 1
2.6%
447109.755629316 1
2.6%
447229.993629727 1
2.6%
447296.712854432 1
2.6%
447381.325491413 1
2.6%
447480.039577359 1
2.6%
447654.872520034 1
2.6%
447707.403309726 1
2.6%
447742.348636253 1
2.6%
447816.790367918 2
5.1%
ValueCountFrequency (%)
450153.122732911 1
2.6%
450111.04375671 1
2.6%
450029.429063214 1
2.6%
449998.665108473 1
2.6%
449772.740559032 1
2.6%
449746.79133351 1
2.6%
449630.953175642 1
2.6%
449124.463223653 1
2.6%
449066.393308522 2
5.1%
448993.045608483 1
2.6%

문화체육업종명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
청소년게임제공업
35 
<NA>
4 

Length

Max length8
Median length8
Mean length7.5897436
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 35
89.7%
<NA> 4
 
10.3%

Length

2024-04-06T21:07:51.937507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:52.166234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 35
89.7%
na 4
 
10.3%

문화사업자구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
유통관련업
35 
<NA>
4 

Length

Max length5
Median length5
Mean length4.8974359
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 35
89.7%
<NA> 4
 
10.3%

Length

2024-04-06T21:07:52.360512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:52.555215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 35
89.7%
na 4
 
10.3%

총층수
Categorical

Distinct6
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
26 
2
4 
5
4 
6
 
2
1
 
2

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 26
66.7%
2 4
 
10.3%
5 4
 
10.3%
6 2
 
5.1%
1 2
 
5.1%
7 1
 
2.6%

Length

2024-04-06T21:07:52.758151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:53.013048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
66.7%
2 4
 
10.3%
5 4
 
10.3%
6 2
 
5.1%
1 2
 
5.1%
7 1
 
2.6%

주변환경명
Categorical

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
20 
유흥업소밀집지역
6 
기타
5 
학교정화(상대)
5 
주택가주변
3 

Length

Max length8
Median length4
Mean length4.9487179
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
3rd row유흥업소밀집지역
4th row유흥업소밀집지역
5th row유흥업소밀집지역

Common Values

ValueCountFrequency (%)
<NA> 20
51.3%
유흥업소밀집지역 6
 
15.4%
기타 5
 
12.8%
학교정화(상대) 5
 
12.8%
주택가주변 3
 
7.7%

Length

2024-04-06T21:07:53.272788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:53.495104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
51.3%
유흥업소밀집지역 6
 
15.4%
기타 5
 
12.8%
학교정화(상대 5
 
12.8%
주택가주변 3
 
7.7%

제작취급품목내용
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing19
Missing (%)48.7%
Memory size444.0 B
2024-04-06T21:07:53.823802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length15
Mean length13.75
Min length4

Characters and Unicode

Total characters275
Distinct characters109
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

Unique20 ?
Unique (%)100.0%

Sample

1st row블루마운틴
2nd rowBLUE(블루)
3rd row아케이드게임(아쿠아캐슬)
4th row아케이드게임
5th row아케이드 워터볼 50대
ValueCountFrequency (%)
외 4
 
8.3%
데스페라도 1
 
2.1%
1종 1
 
2.1%
토이즈팝(5ea 1
 
2.1%
코코짱(1ea 1
 
2.1%
조아조아윷놀이(1ea 1
 
2.1%
럭셔리 1
 
2.1%
러브푸쉬 1
 
2.1%
스마일 1
 
2.1%
토이 1
 
2.1%
Other values (35) 35
72.9%
2024-04-06T21:07:54.435220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
10.2%
, 14
 
5.1%
스 11
 
4.0%
( 9
 
3.3%
) 9
 
3.3%
이 8
 
2.9%
아 7
 
2.5%
드 6
 
2.2%
외 5
 
1.8%
트 5
 
1.8%
Other values (99) 173
62.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
64.4%
Space Separator 28
 
10.2%
Uppercase Letter 26
 
9.5%
Other Punctuation 14
 
5.1%
Decimal Number 12
 
4.4%
Open Punctuation 9
 
3.3%
Close Punctuation 9
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 11
 
6.2%
이 8
 
4.5%
아 7
 
4.0%
드 6
 
3.4%
외 5
 
2.8%
트 5
 
2.8%
리 5
 
2.8%
대 4
 
2.3%
퍼 4
 
2.3%
코 4
 
2.3%
Other values (75) 118
66.7%
Uppercase Letter
ValueCountFrequency (%)
E 4
15.4%
A 4
15.4%
N 3
11.5%
O 2
7.7%
P 2
7.7%
Y 2
7.7%
U 2
7.7%
L 2
7.7%
B 1
 
3.8%
F 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
1 3
25.0%
7 2
16.7%
5 2
16.7%
0 2
16.7%
2 1
 
8.3%
4 1
 
8.3%
6 1
 
8.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
64.4%
Common 72
26.2%
Latin 26
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 11
 
6.2%
이 8
 
4.5%
아 7
 
4.0%
드 6
 
3.4%
외 5
 
2.8%
트 5
 
2.8%
리 5
 
2.8%
대 4
 
2.3%
퍼 4
 
2.3%
코 4
 
2.3%
Other values (75) 118
66.7%
Latin
ValueCountFrequency (%)
E 4
15.4%
A 4
15.4%
N 3
11.5%
O 2
7.7%
P 2
7.7%
Y 2
7.7%
U 2
7.7%
L 2
7.7%
B 1
 
3.8%
F 1
 
3.8%
Other values (3) 3
11.5%
Common
ValueCountFrequency (%)
28
38.9%
, 14
19.4%
( 9
 
12.5%
) 9
 
12.5%
1 3
 
4.2%
7 2
 
2.8%
5 2
 
2.8%
0 2
 
2.8%
2 1
 
1.4%
4 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
64.4%
ASCII 98
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
28.6%
, 14
14.3%
( 9
 
9.2%
) 9
 
9.2%
E 4
 
4.1%
A 4
 
4.1%
1 3
 
3.1%
N 3
 
3.1%
7 2
 
2.0%
O 2
 
2.0%
Other values (14) 20
20.4%
Hangul
ValueCountFrequency (%)
스 11
 
6.2%
이 8
 
4.5%
아 7
 
4.0%
드 6
 
3.4%
외 5
 
2.8%
트 5
 
2.8%
리 5
 
2.8%
대 4
 
2.3%
퍼 4
 
2.3%
코 4
 
2.3%
Other values (75) 118
66.7%

시설면적
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)97.1%
Missing5
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean108.66353
Minimum11.66
Maximum345.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-06T21:07:54.702935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.66
5-th percentile21.806
Q142.15
median82.725
Q3157.38
95-th percentile267.45
Maximum345.09
Range333.43
Interquartile range (IQR)115.23

Descriptive statistics

Standard deviation81.316351
Coefficient of variation (CV)0.74833158
Kurtosis1.0359821
Mean108.66353
Median Absolute Deviation (MAD)50.725
Skewness1.1229127
Sum3694.56
Variance6612.349
MonotonicityNot monotonic
2024-04-06T21:07:54.958814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
39.67 2
 
5.1%
65.72 1
 
2.6%
53.87 1
 
2.6%
160.0 1
 
2.6%
31.0 1
 
2.6%
92.0 1
 
2.6%
345.09 1
 
2.6%
26.44 1
 
2.6%
100.0 1
 
2.6%
13.2 1
 
2.6%
Other values (23) 23
59.0%
(Missing) 5
 
12.8%
ValueCountFrequency (%)
11.66 1
2.6%
13.2 1
2.6%
26.44 1
2.6%
30.37 1
2.6%
31.0 1
2.6%
33.0 1
2.6%
36.93 1
2.6%
39.67 2
5.1%
49.59 1
2.6%
53.87 1
2.6%
ValueCountFrequency (%)
345.09 1
2.6%
285.0 1
2.6%
258.0 1
2.6%
207.37 1
2.6%
187.59 1
2.6%
171.0 1
2.6%
165.85 1
2.6%
161.8 1
2.6%
160.0 1
2.6%
149.52 1
2.6%

지상층수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)31.6%
Missing20
Missing (%)51.3%
Infinite0
Infinite (%)0.0%
Mean2.7894737
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-06T21:07:55.161977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34.5
95-th percentile6.1
Maximum7
Range6
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.0703984
Coefficient of variation (CV)0.74221831
Kurtosis-1.0742456
Mean2.7894737
Median Absolute Deviation (MAD)1
Skewness0.65001927
Sum53
Variance4.2865497
MonotonicityNot monotonic
2024-04-06T21:07:55.342620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 9
23.1%
4 3
 
7.7%
5 3
 
7.7%
2 2
 
5.1%
7 1
 
2.6%
6 1
 
2.6%
(Missing) 20
51.3%
ValueCountFrequency (%)
1 9
23.1%
2 2
 
5.1%
4 3
 
7.7%
5 3
 
7.7%
6 1
 
2.6%
7 1
 
2.6%
ValueCountFrequency (%)
7 1
 
2.6%
6 1
 
2.6%
5 3
 
7.7%
4 3
 
7.7%
2 2
 
5.1%
1 9
23.1%

지하층수
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
31 
1
8 

Length

Max length4
Median length4
Mean length3.3846154
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> 31
79.5%
1 8
 
20.5%

Length

2024-04-06T21:07:55.566584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:55.771619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
79.5%
1 8
 
20.5%

건물용도명
Categorical

Distinct5
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
19 
근린생활시설
16 
환경위생시설
2 
문화시설
 
1
유기장
 
1

Length

Max length6
Median length4
Mean length4.8974359
Min length3

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row문화시설
2nd row환경위생시설
3rd row근린생활시설
4th row환경위생시설
5th row근린생활시설

Common Values

ValueCountFrequency (%)
<NA> 19
48.7%
근린생활시설 16
41.0%
환경위생시설 2
 
5.1%
문화시설 1
 
2.6%
유기장 1
 
2.6%

Length

2024-04-06T21:07:56.003392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:56.231626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
48.7%
근린생활시설 16
41.0%
환경위생시설 2
 
5.1%
문화시설 1
 
2.6%
유기장 1
 
2.6%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

조명시설조도
Categorical

IMBALANCE 

Distinct6
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
34 
68
 
1
45
 
1
54
 
1
60
 
1

Length

Max length4
Median length4
Mean length3.7435897
Min length2

Unique

Unique5 ?
Unique (%)12.8%

Sample

1st row68
2nd row45
3rd row54
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 34
87.2%
68 1
 
2.6%
45 1
 
2.6%
54 1
 
2.6%
60 1
 
2.6%
63 1
 
2.6%

Length

2024-04-06T21:07:56.455477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:56.701266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
87.2%
68 1
 
2.6%
45 1
 
2.6%
54 1
 
2.6%
60 1
 
2.6%
63 1
 
2.6%

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

총게임기수
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)72.7%
Missing17
Missing (%)43.6%
Infinite0
Infinite (%)0.0%
Mean29.590909
Minimum5
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size483.0 B
2024-04-06T21:07:56.896935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7
Q111.25
median32.5
Q341.5
95-th percentile50
Maximum71
Range66
Interquartile range (IQR)30.25

Descriptive statistics

Standard deviation18.461438
Coefficient of variation (CV)0.62388883
Kurtosis-0.66971764
Mean29.590909
Median Absolute Deviation (MAD)16.5
Skewness0.27086165
Sum651
Variance340.82468
MonotonicityNot monotonic
2024-04-06T21:07:57.106706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
7 3
 
7.7%
40 3
 
7.7%
50 3
 
7.7%
22 1
 
2.6%
15 1
 
2.6%
8 1
 
2.6%
5 1
 
2.6%
17 1
 
2.6%
44 1
 
2.6%
71 1
 
2.6%
Other values (6) 6
 
15.4%
(Missing) 17
43.6%
ValueCountFrequency (%)
5 1
 
2.6%
7 3
7.7%
8 1
 
2.6%
10 1
 
2.6%
15 1
 
2.6%
17 1
 
2.6%
22 1
 
2.6%
25 1
 
2.6%
30 1
 
2.6%
35 1
 
2.6%
ValueCountFrequency (%)
71 1
 
2.6%
50 3
7.7%
44 1
 
2.6%
42 1
 
2.6%
40 3
7.7%
36 1
 
2.6%
35 1
 
2.6%
30 1
 
2.6%
25 1
 
2.6%
22 1
 
2.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

제공게임물명
Categorical

Distinct2
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size444.0 B
전체이용가
34 
<NA>
5 

Length

Max length5
Median length5
Mean length4.8717949
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 34
87.2%
<NA> 5
 
12.8%

Length

2024-04-06T21:07:57.352897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:57.547194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 34
87.2%
na 5
 
12.8%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing39
Missing (%)100.0%
Memory size483.0 B

지역구분명
Categorical

Distinct7
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size444.0 B
<NA>
19 
일반주거지역
8 
일반상업지역
6 
상업지역
2 
주거지역
2 
Other values (2)
2 

Length

Max length6
Median length4
Mean length4.7948718
Min length4

Unique

Unique2 ?
Unique (%)5.1%

Sample

1st row일반주거지역
2nd row일반상업지역
3rd row일반주거지역
4th row일반상업지역
5th row일반상업지역

Common Values

ValueCountFrequency (%)
<NA> 19
48.7%
일반주거지역 8
20.5%
일반상업지역 6
 
15.4%
상업지역 2
 
5.1%
주거지역 2
 
5.1%
준주거지역 1
 
2.6%
근린상업지역 1
 
2.6%

Length

2024-04-06T21:07:57.824466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:07:58.069139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 19
48.7%
일반주거지역 8
20.5%
일반상업지역 6
 
15.4%
상업지역 2
 
5.1%
주거지역 2
 
5.1%
준주거지역 1
 
2.6%
근린상업지역 1
 
2.6%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03020000CDFF224114200500000120050810<NA>3폐업3폐업20080618<NA><NA><NA>2012-0703<NA>140780서울특별시 용산구 한강로3가 40-999번지 용산민자역사 703호<NA><NA>조이맥스2008-06-18 13:56:25I2018-08-31 23:59:59.0<NA>196762.077395447480.039577청소년게임제공업유통관련업<NA>기타<NA>161.87<NA>문화시설<NA>68<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>44<NA>전체이용가<NA><NA><NA>일반주거지역
13020000CDFF224114200800000120080522200809104취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA>140807서울특별시 용산구 갈월동 98-1번지 1층호서울특별시 용산구 한강대로77길 11, 1층호 (갈월동)<NA>게임랜드2008-09-05 18:05:06I2018-08-31 23:59:59.0<NA>197464.296282448824.302251청소년게임제공업유통관련업<NA>기타<NA>207.371<NA>환경위생시설<NA>45<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA>일반상업지역
23020000CDFF224114200800000220080527<NA>3폐업3폐업20110831<NA><NA><NA>3272-0400<NA>140806서울특별시 용산구 갈월동 69-46번지 1층호서울특별시 용산구 한강대로87길 4, 1층호 (갈월동)<NA>게임천국오락실2011-08-31 17:43:25I2018-08-31 23:59:59.0<NA>197433.831913449124.463224청소년게임제공업유통관련업2유흥업소밀집지역<NA>122.471<NA>근린생활시설<NA>54<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>36<NA>전체이용가<NA><NA><NA>일반주거지역
33020000CDFF224114200800000320081016<NA>3폐업3폐업20170313<NA><NA><NA>02-2012-0703<NA><NA>서울특별시 용산구 한강로3가 40-961번지 스페이스9 703,704호서울특별시 용산구 한강대로23길 55, 703,704호 (한강로3가, 스페이스9)4377펀잇 용산점2017-03-14 09:31:23I2018-08-31 23:59:59.0<NA>196864.360554447707.40331청소년게임제공업유통관련업<NA>유흥업소밀집지역<NA>258.0<NA><NA>환경위생시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반상업지역
43020000CDFF224114200800000420081104<NA>3폐업3폐업20081229<NA><NA><NA><NA><NA>140821서울특별시 용산구 동자동 43-121번지 1층호서울특별시 용산구 한강대로 379-2, 1층호 (동자동)<NA>Q 게임장2008-12-29 09:56:42I2018-08-31 23:59:59.0<NA>197466.418316449998.665108청소년게임제공업유통관련업<NA>유흥업소밀집지역<NA><NA>1<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반상업지역
53020000CDFF224114200900000120090305<NA>3폐업3폐업20110415<NA><NA><NA><NA><NA>140821서울특별시 용산구 동자동 43-53번지 1층<NA><NA>대박게임장2011-04-18 10:16:00I2018-08-31 23:59:59.0<NA>197487.163507450153.122733청소년게임제공업유통관련업<NA>유흥업소밀집지역<NA>64.461<NA>유기장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>상업지역
63020000CDFF224114200900000220090422<NA>4취소/말소/만료/정지/중지35직권말소20121217<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로2가 2-192번지 지하1층서울특별시 용산구 한강대로39길 20 (한강로2가,지하1층)<NA>종합게임랜드2012-12-18 15:06:33I2018-08-31 23:59:59.0<NA>197120.460827447654.87252청소년게임제공업유통관련업5유흥업소밀집지역<NA>116.4441근린생활시설<NA>60<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>50<NA>전체이용가<NA><NA><NA>일반상업지역
73020000CDFF224114200900000320090916<NA>4취소/말소/만료/정지/중지35직권말소20121008<NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 671번지 2층 102호서울특별시 용산구 녹사평대로 234 (이태원동,2층 102호)<NA>이태원게임랜드2012-10-08 10:17:50I2018-08-31 23:59:59.0<NA>198795.436789448473.969523청소년게임제공업유통관련업5주택가주변<NA>61.1541근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>주거지역
83020000CDFF224114200900000420091001201001294취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로2가 83-2번지 2층서울특별시 용산구 새창로 131 (원효로2가,2층)<NA>펜게임랜드2010-02-01 14:41:46I2018-08-31 23:59:59.0<NA>196522.360947448196.611004청소년게임제공업유통관련업6기타<NA>128.9351근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
93020000CDFF224114200900000520091005<NA>3폐업3폐업20100709<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한남동 642-37번지 2층서울특별시 용산구 대사관로24길 22 (한남동,2층)<NA>거인게임랜드2010-07-09 09:41:09I2018-08-31 23:59:59.0<NA>200372.510693447816.790368청소년게임제공업유통관련업6주택가주변<NA>171.051근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA>일반주거지역
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
293020000CDFF224114201700000420170308<NA>4취소/말소/만료/정지/중지35직권말소20191218<NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 128-9번지서울특별시 용산구 이태원로 174, 1층 5호 (이태원동)4391핫토이2019-12-30 14:33:41U2020-01-01 02:40:00.0<NA>199332.630662447998.819238청소년게임제공업유통관련업<NA><NA>퍼니랜드 외26.44<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17<NA>전체이용가<NA><NA><NA><NA>
303020000CDFF22411420170000052017-06-26<NA>3폐업3폐업2024-03-12<NA><NA><NA><NA><NA><NA>서울특별시 용산구 원효로1가 44-9서울특별시 용산구 백범로87길 51, 1층 (원효로1가)4315콤콤오락실2024-03-13 08:57:29U2023-12-02 23:06:00.0<NA>197211.164332448591.226977<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
313020000CDFF224114201800000120180511<NA>3폐업3폐업20210603<NA><NA><NA><NA><NA><NA>서울특별시 용산구 신계동 36-14서울특별시 용산구 새창로 156, 1층층 (신계동)4366용산 뽑아용2021-06-03 13:01:46U2021-06-05 02:40:00.0<NA>196613.694796447947.098083청소년게임제공업유통관련업<NA><NA>토이즈팝(TOYS POP)13.2<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5<NA>전체이용가<NA><NA><NA>일반주거지역
323020000CDFF224114201800000220180605<NA>4취소/말소/만료/정지/중지35직권말소20201111<NA><NA><NA><NA><NA><NA>서울특별시 용산구 동자동 43-112서울특별시 용산구 한강대로 353-3, 1층 (동자동)4320뽑기창고2020-11-16 09:38:15U2020-11-18 02:40:00.0<NA>197425.329589449746.791334청소년게임제공업유통관련업<NA>기타우리두리크레인 외 7대30.37<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA>전체이용가<NA><NA><NA>상업지역
333020000CDFF224114201800000320180710<NA>3폐업3폐업20181227<NA><NA><NA><NA><NA><NA>서울특별시 용산구 한강로3가 2-8번지 나진상가서울특별시 용산구 청파로 100, 나진상가 12동 1층 6호 (한강로3가)4372캡슐토이 인형뽑기2018-12-27 18:02:08U2018-12-29 02:40:00.0<NA>196605.511574447841.270074청소년게임제공업유통관련업<NA><NA>스위트박스 외 1종36.93<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA><NA>
343020000CDFF224114201800000420180920<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이촌동 203-4서울특별시 용산구 이촌로 64-1 (이촌동)4374이촌뽑즈아2021-08-03 13:43:05U2021-08-05 02:40:00.0<NA>196035.191424447109.755629청소년게임제공업유통관련업<NA>주택가주변토이즈팝(5EA), 코코짱(1EA), 조아조아윷놀이(1EA)63.0<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA><NA>
353020000CDFF224114202000000120200217<NA>3폐업3폐업20220322<NA><NA><NA><NA><NA><NA>서울특별시 용산구 이촌동 203-9서울특별시 용산구 이촌로 70, 103호 (이촌동)4374뽑돌이2022-03-22 16:46:30U2022-03-24 02:40:00.0<NA>196071.054437447065.850892청소년게임제공업유통관련업<NA><NA>럭셔리 러브푸쉬, 스마일 토이, 뽀끼뽀기2(4대)11.66<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7<NA>전체이용가<NA><NA><NA><NA>
363020000CDFF224114202000000220200522<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 용산구 이태원동 658번지서울특별시 용산구 회나무로 3, 1층 (이태원동)4343콤콤오락실2020-06-09 10:41:34U2020-06-11 02:40:00.0<NA>198806.839737448482.524577청소년게임제공업유통관련업<NA><NA>데스페라도, 노래하는 두더지, 비시바시, 슈퍼마리오, 스노우브라더스, 스트리트파이터, 비트온, 펀스뮤직, 철권, 퍼니랜드(6대)33.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15<NA>전체이용가<NA><NA><NA><NA>
373020000CDFF224114202100000120210716<NA>3폐업3폐업20220808<NA><NA><NA>02-390-8643<NA><NA>서울특별시 용산구 한강로3가 40-969 서울드래곤시티서울특별시 용산구 청파로20길 95, 서울드래곤시티 207호 (한강로3가)4372두두아케이드(오진교역(주))2022-08-08 10:38:02U2021-12-07 23:00:00.0<NA>196610.66384447742.348636<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
383020000CDFF22411420240000012024-02-28<NA>1영업/정상13영업중<NA><NA><NA><NA>054-624-1009<NA><NA>서울특별시 용산구 한남동 80-1서울특별시 용산구 대사관로 78 (한남동)4410(주)빙글뱅글2024-02-28 09:43:36I2023-12-03 00:01:00.0<NA>200521.205931447864.670774<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>