Overview

Dataset statistics

Number of variables56
Number of observations52
Missing cells1311
Missing cells (%)45.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.8 KiB
Average record size in memory487.5 B

Variable types

Categorical18
Text8
DateTime4
Unsupported20
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
Author종로구
URLhttps://data.seoul.go.kr/dataList/OA-16817/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
인허가취소일자 is highly imbalanced (79.5%)Imbalance
소재지우편번호 is highly imbalanced (82.7%)Imbalance
지하층수 is highly imbalanced (66.8%)Imbalance
건물용도명 is highly imbalanced (58.3%)Imbalance
통로너비 is highly imbalanced (86.3%)Imbalance
조명시설조도 is highly imbalanced (53.6%)Imbalance
노래방실수 is highly imbalanced (86.3%)Imbalance
청소년실수 is highly imbalanced (86.3%)Imbalance
폐업일자 has 10 (19.2%) missing valuesMissing
휴업시작일자 has 52 (100.0%) missing valuesMissing
휴업종료일자 has 52 (100.0%) missing valuesMissing
재개업일자 has 52 (100.0%) missing valuesMissing
전화번호 has 42 (80.8%) missing valuesMissing
소재지면적 has 52 (100.0%) missing valuesMissing
지번주소 has 3 (5.8%) missing valuesMissing
도로명주소 has 1 (1.9%) missing valuesMissing
도로명우편번호 has 16 (30.8%) missing valuesMissing
업태구분명 has 52 (100.0%) missing valuesMissing
총층수 has 40 (76.9%) missing valuesMissing
주변환경명 has 50 (96.2%) missing valuesMissing
제작취급품목내용 has 19 (36.5%) missing valuesMissing
시설면적 has 13 (25.0%) missing valuesMissing
비상계단여부 has 52 (100.0%) missing valuesMissing
비상구여부 has 52 (100.0%) missing valuesMissing
자동환기여부 has 52 (100.0%) missing valuesMissing
청소년실여부 has 52 (100.0%) missing valuesMissing
특수조명여부 has 52 (100.0%) missing valuesMissing
방음시설여부 has 52 (100.0%) missing valuesMissing
비디오재생기명 has 52 (100.0%) missing valuesMissing
조명시설유무 has 52 (100.0%) missing valuesMissing
음향시설여부 has 52 (100.0%) missing valuesMissing
편의시설여부 has 52 (100.0%) missing valuesMissing
소방시설여부 has 52 (100.0%) missing valuesMissing
총게임기수 has 27 (51.9%) missing valuesMissing
기존게임업외업종명 has 52 (100.0%) missing valuesMissing
공연장형태구분명 has 52 (100.0%) missing valuesMissing
품목명 has 52 (100.0%) missing valuesMissing
최초등록시점 has 52 (100.0%) missing valuesMissing
지역구분명 has 50 (96.2%) 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
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
총층수 has 1 (1.9%) zerosZeros

Reproduction

Analysis started2024-05-17 22:38:13.714866
Analysis finished2024-05-17 22:38:14.946440
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
3000000
52 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3000000 52
100.0%

Length

2024-05-18T07:38:15.139958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:15.431684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3000000 52
100.0%

관리번호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-05-18T07:38:15.781439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1040
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

Unique52 ?
Unique (%)100.0%

Sample

1st rowCDFF2241142007000001
2nd rowCDFF2241142008000001
3rd rowCDFF2241142008000002
4th rowCDFF2241142008000003
5th rowCDFF2241142008000004
ValueCountFrequency (%)
cdff2241142007000001 1
 
1.9%
cdff2241142008000001 1
 
1.9%
cdff2241142017000005 1
 
1.9%
cdff2241142016000002 1
 
1.9%
cdff2241142016000003 1
 
1.9%
cdff2241142016000004 1
 
1.9%
cdff2241142016000005 1
 
1.9%
cdff2241142016000006 1
 
1.9%
cdff2241142016000007 1
 
1.9%
cdff2241142017000001 1
 
1.9%
Other values (42) 42
80.8%
2024-05-18T07:38:16.649016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 331
31.8%
2 170
16.3%
1 155
14.9%
4 111
 
10.7%
F 104
 
10.0%
C 52
 
5.0%
D 52
 
5.0%
8 17
 
1.6%
7 11
 
1.1%
3 11
 
1.1%
Other values (3) 26
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 832
80.0%
Uppercase Letter 208
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 331
39.8%
2 170
20.4%
1 155
18.6%
4 111
 
13.3%
8 17
 
2.0%
7 11
 
1.3%
3 11
 
1.3%
6 11
 
1.3%
9 8
 
1.0%
5 7
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 104
50.0%
C 52
25.0%
D 52
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 832
80.0%
Latin 208
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 331
39.8%
2 170
20.4%
1 155
18.6%
4 111
 
13.3%
8 17
 
2.0%
7 11
 
1.3%
3 11
 
1.3%
6 11
 
1.3%
9 8
 
1.0%
5 7
 
0.8%
Latin
ValueCountFrequency (%)
F 104
50.0%
C 52
25.0%
D 52
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 331
31.8%
2 170
16.3%
1 155
14.9%
4 111
 
10.7%
F 104
 
10.0%
C 52
 
5.0%
D 52
 
5.0%
8 17
 
1.6%
7 11
 
1.1%
3 11
 
1.1%
Other values (3) 26
 
2.5%

인허가일자
Date

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2007-12-14 00:00:00
Maximum2023-10-16 00:00:00
2024-05-18T07:38:17.061644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:38:17.459682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
49 
20091118
 
1
20120402
 
1
20180402
 
1

Length

Max length8
Median length4
Mean length4.2307692
Min length4

Unique

Unique3 ?
Unique (%)5.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
94.2%
20091118 1
 
1.9%
20120402 1
 
1.9%
20180402 1
 
1.9%

Length

2024-05-18T07:38:17.810944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:18.126917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
94.2%
20091118 1
 
1.9%
20120402 1
 
1.9%
20180402 1
 
1.9%

영업상태코드
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
3
33 
4
12 
1
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 33
63.5%
4 12
 
23.1%
1 7
 
13.5%

Length

2024-05-18T07:38:18.414914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:18.604060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 33
63.5%
4 12
 
23.1%
1 7
 
13.5%

영업상태명
Categorical

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
폐업
33 
취소/말소/만료/정지/중지
12 
영업/정상
7 

Length

Max length14
Median length2
Mean length5.1730769
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 33
63.5%
취소/말소/만료/정지/중지 12
 
23.1%
영업/정상 7
 
13.5%

Length

2024-05-18T07:38:18.832413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:19.088534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 33
63.5%
취소/말소/만료/정지/중지 12
 
23.1%
영업/정상 7
 
13.5%

상세영업상태코드
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
3
33 
35
9 
13
7 
31
 
3

Length

Max length2
Median length1
Mean length1.3653846
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 33
63.5%
35 9
 
17.3%
13 7
 
13.5%
31 3
 
5.8%

Length

2024-05-18T07:38:19.374060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:19.708869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 33
63.5%
35 9
 
17.3%
13 7
 
13.5%
31 3
 
5.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
폐업
33 
직권말소
9 
영업중
7 
등록취소
 
3

Length

Max length4
Median length2
Mean length2.5961538
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 33
63.5%
직권말소 9
 
17.3%
영업중 7
 
13.5%
등록취소 3
 
5.8%

Length

2024-05-18T07:38:20.114372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:20.469413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 33
63.5%
직권말소 9
 
17.3%
영업중 7
 
13.5%
등록취소 3
 
5.8%

폐업일자
Date

MISSING 

Distinct37
Distinct (%)88.1%
Missing10
Missing (%)19.2%
Memory size548.0 B
Minimum2009-03-10 00:00:00
Maximum2023-08-31 00:00:00
2024-05-18T07:38:20.794215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:38:21.166133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

전화번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing42
Missing (%)80.8%
Memory size548.0 B
2024-05-18T07:38:21.429281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.4
Min length8

Characters and Unicode

Total characters104
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st row735-5744
2nd row02-923-2884
3rd row720-8800
4th row2198-3080
5th row070-7787-9070
ValueCountFrequency (%)
735-5744 1
10.0%
02-923-2884 1
10.0%
720-8800 1
10.0%
2198-3080 1
10.0%
070-7787-9070 1
10.0%
070-8724-7031 1
10.0%
765-0403 1
10.0%
02-1566-8789 1
10.0%
02-737-4788 1
10.0%
02-730-9966 1
10.0%
2024-05-18T07:38:22.331117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19
18.3%
7 17
16.3%
- 16
15.4%
8 12
11.5%
2 9
8.7%
3 7
 
6.7%
4 6
 
5.8%
9 6
 
5.8%
6 5
 
4.8%
5 4
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88
84.6%
Dash Punctuation 16
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
21.6%
7 17
19.3%
8 12
13.6%
2 9
10.2%
3 7
 
8.0%
4 6
 
6.8%
9 6
 
6.8%
6 5
 
5.7%
5 4
 
4.5%
1 3
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19
18.3%
7 17
16.3%
- 16
15.4%
8 12
11.5%
2 9
8.7%
3 7
 
6.7%
4 6
 
5.8%
9 6
 
5.8%
6 5
 
4.8%
5 4
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19
18.3%
7 17
16.3%
- 16
15.4%
8 12
11.5%
2 9
8.7%
3 7
 
6.7%
4 6
 
5.8%
9 6
 
5.8%
6 5
 
4.8%
5 4
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
50 
110111
 
1
110521
 
1

Length

Max length6
Median length4
Mean length4.0769231
Min length4

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row110111
2nd row<NA>
3rd row<NA>
4th row110521
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 50
96.2%
110111 1
 
1.9%
110521 1
 
1.9%

Length

2024-05-18T07:38:22.728072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:22.931012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 50
96.2%
110111 1
 
1.9%
110521 1
 
1.9%

지번주소
Text

MISSING 

Distinct49
Distinct (%)100.0%
Missing3
Missing (%)5.8%
Memory size548.0 B
2024-05-18T07:38:23.327759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length24.163265
Min length17

Characters and Unicode

Total characters1184
Distinct characters72
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

Unique49 ?
Unique (%)100.0%

Sample

1st row서울특별시 종로구 관철동 43-8번지 (1층)
2nd row서울특별시 종로구 명륜2가 143-9번지 지하1층
3rd row서울특별시 종로구 숭인동 1048번지 (1층)
4th row서울특별시 종로구 명륜1가 75-1번지 (지하1층)
5th row서울특별시 종로구 낙원동 225번지 (1층)
ValueCountFrequency (%)
서울특별시 49
21.0%
종로구 49
21.0%
1층 15
 
6.4%
창신동 14
 
6.0%
지하1층 8
 
3.4%
관철동 6
 
2.6%
숭인동 5
 
2.1%
낙원동 5
 
2.1%
명륜2가 5
 
2.1%
종로2가 4
 
1.7%
Other values (67) 73
31.3%
2024-05-18T07:38:24.339560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
221
18.7%
1 66
 
5.6%
종 55
 
4.6%
로 55
 
4.6%
서 50
 
4.2%
특 49
 
4.1%
별 49
 
4.1%
시 49
 
4.1%
구 49
 
4.1%
울 49
 
4.1%
Other values (62) 492
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 681
57.5%
Space Separator 221
 
18.7%
Decimal Number 216
 
18.2%
Dash Punctuation 37
 
3.1%
Open Punctuation 12
 
1.0%
Close Punctuation 12
 
1.0%
Lowercase Letter 3
 
0.3%
Other Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
종 55
 
8.1%
로 55
 
8.1%
서 50
 
7.3%
특 49
 
7.2%
별 49
 
7.2%
시 49
 
7.2%
구 49
 
7.2%
울 49
 
7.2%
지 39
 
5.7%
동 38
 
5.6%
Other values (44) 199
29.2%
Decimal Number
ValueCountFrequency (%)
1 66
30.6%
2 31
14.4%
3 23
 
10.6%
5 22
 
10.2%
7 19
 
8.8%
4 17
 
7.9%
8 12
 
5.6%
6 11
 
5.1%
0 9
 
4.2%
9 6
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
221
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Other Punctuation
ValueCountFrequency (%)
' 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 681
57.5%
Common 499
42.1%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
종 55
 
8.1%
로 55
 
8.1%
서 50
 
7.3%
특 49
 
7.2%
별 49
 
7.2%
시 49
 
7.2%
구 49
 
7.2%
울 49
 
7.2%
지 39
 
5.7%
동 38
 
5.6%
Other values (44) 199
29.2%
Common
ValueCountFrequency (%)
221
44.3%
1 66
 
13.2%
- 37
 
7.4%
2 31
 
6.2%
3 23
 
4.6%
5 22
 
4.4%
7 19
 
3.8%
4 17
 
3.4%
8 12
 
2.4%
( 12
 
2.4%
Other values (5) 39
 
7.8%
Latin
ValueCountFrequency (%)
e 2
50.0%
s 1
25.0%
L 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 681
57.5%
ASCII 503
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
221
43.9%
1 66
 
13.1%
- 37
 
7.4%
2 31
 
6.2%
3 23
 
4.6%
5 22
 
4.4%
7 19
 
3.8%
4 17
 
3.4%
8 12
 
2.4%
( 12
 
2.4%
Other values (8) 43
 
8.5%
Hangul
ValueCountFrequency (%)
종 55
 
8.1%
로 55
 
8.1%
서 50
 
7.3%
특 49
 
7.2%
별 49
 
7.2%
시 49
 
7.2%
구 49
 
7.2%
울 49
 
7.2%
지 39
 
5.7%
동 38
 
5.6%
Other values (44) 199
29.2%

도로명주소
Text

MISSING 

Distinct50
Distinct (%)98.0%
Missing1
Missing (%)1.9%
Memory size548.0 B
2024-05-18T07:38:24.866321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length29.117647
Min length22

Characters and Unicode

Total characters1485
Distinct characters91
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)96.1%

Sample

1st row서울특별시 종로구 청계천로 61 (관철동,(1층))
2nd row서울특별시 종로구 성균관로 18 (명륜2가,지하1층)
3rd row서울특별시 종로구 종로 397 (숭인동,(1층))
4th row서울특별시 종로구 성균관로 44 (명륜1가,(지하1층))
5th row서울특별시 종로구 수표로 121-1 (낙원동,(1층))
ValueCountFrequency (%)
서울특별시 51
17.6%
종로구 51
17.6%
종로 15
 
5.2%
1층 15
 
5.2%
창신동 13
 
4.5%
관철동 6
 
2.1%
숭인동 4
 
1.4%
성균관로 4
 
1.4%
지하1층 4
 
1.4%
낙원동 4
 
1.4%
Other values (96) 122
42.2%
2024-05-18T07:38:25.698901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
 
16.9%
로 98
 
6.6%
종 79
 
5.3%
1 72
 
4.8%
( 63
 
4.2%
) 63
 
4.2%
서 52
 
3.5%
특 51
 
3.4%
별 51
 
3.4%
시 51
 
3.4%
Other values (81) 654
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 832
56.0%
Space Separator 251
 
16.9%
Decimal Number 210
 
14.1%
Open Punctuation 63
 
4.2%
Close Punctuation 63
 
4.2%
Other Punctuation 42
 
2.8%
Dash Punctuation 19
 
1.3%
Lowercase Letter 3
 
0.2%
Uppercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 98
 
11.8%
종 79
 
9.5%
서 52
 
6.2%
특 51
 
6.1%
별 51
 
6.1%
시 51
 
6.1%
구 51
 
6.1%
울 51
 
6.1%
동 41
 
4.9%
층 37
 
4.4%
Other values (61) 270
32.5%
Decimal Number
ValueCountFrequency (%)
1 72
34.3%
2 36
17.1%
3 25
 
11.9%
4 19
 
9.0%
5 18
 
8.6%
8 13
 
6.2%
0 9
 
4.3%
6 9
 
4.3%
7 5
 
2.4%
9 4
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 41
97.6%
' 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
251
100.0%
Open Punctuation
ValueCountFrequency (%)
( 63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 832
56.0%
Common 649
43.7%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 98
 
11.8%
종 79
 
9.5%
서 52
 
6.2%
특 51
 
6.1%
별 51
 
6.1%
시 51
 
6.1%
구 51
 
6.1%
울 51
 
6.1%
동 41
 
4.9%
층 37
 
4.4%
Other values (61) 270
32.5%
Common
ValueCountFrequency (%)
251
38.7%
1 72
 
11.1%
( 63
 
9.7%
) 63
 
9.7%
, 41
 
6.3%
2 36
 
5.5%
3 25
 
3.9%
4 19
 
2.9%
- 19
 
2.9%
5 18
 
2.8%
Other values (7) 42
 
6.5%
Latin
ValueCountFrequency (%)
e 2
50.0%
s 1
25.0%
L 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 832
56.0%
ASCII 653
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
38.4%
1 72
 
11.0%
( 63
 
9.6%
) 63
 
9.6%
, 41
 
6.3%
2 36
 
5.5%
3 25
 
3.8%
4 19
 
2.9%
- 19
 
2.9%
5 18
 
2.8%
Other values (10) 46
 
7.0%
Hangul
ValueCountFrequency (%)
로 98
 
11.8%
종 79
 
9.5%
서 52
 
6.2%
특 51
 
6.1%
별 51
 
6.1%
시 51
 
6.1%
구 51
 
6.1%
울 51
 
6.1%
동 41
 
4.9%
층 37
 
4.4%
Other values (61) 270
32.5%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)55.6%
Missing16
Missing (%)30.8%
Infinite0
Infinite (%)0.0%
Mean18078.917
Minimum3034
Maximum110863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-18T07:38:25.934240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3034
5-th percentile3041
Q13110.5
median3133
Q33190
95-th percentile110841.25
Maximum110863
Range107829
Interquartile range (IQR)79.5

Descriptive statistics

Standard deviation37742.065
Coefficient of variation (CV)2.0876287
Kurtosis2.9126609
Mean18078.917
Median Absolute Deviation (MAD)56
Skewness2.1803017
Sum650841
Variance1.4244634 × 109
MonotonicityNot monotonic
2024-05-18T07:38:26.271479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3190 8
15.4%
3106 4
 
7.7%
3121 3
 
5.8%
3112 2
 
3.8%
3133 2
 
3.8%
3119 2
 
3.8%
3041 2
 
3.8%
3116 1
 
1.9%
3140 1
 
1.9%
3197 1
 
1.9%
Other values (10) 10
19.2%
(Missing) 16
30.8%
ValueCountFrequency (%)
3034 1
 
1.9%
3041 2
3.8%
3077 1
 
1.9%
3101 1
 
1.9%
3106 4
7.7%
3112 2
3.8%
3116 1
 
1.9%
3119 2
3.8%
3121 3
5.8%
3133 2
3.8%
ValueCountFrequency (%)
110863 1
 
1.9%
110842 1
 
1.9%
110841 1
 
1.9%
110840 1
 
1.9%
110320 1
 
1.9%
3197 1
 
1.9%
3190 8
15.4%
3189 1
 
1.9%
3164 1
 
1.9%
3140 1
 
1.9%

사업장명
Text

Distinct47
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-05-18T07:38:26.713925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length9.5
Mean length6.0192308
Min length1

Characters and Unicode

Total characters313
Distinct characters111
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

Unique42 ?
Unique (%)80.8%

Sample

1st rowGAME ZONE
2nd rowPS3 GAMER
3rd row형제게임장
4th row메가플스 성균관대점
5th row삼성게임랜드
ValueCountFrequency (%)
게임장 5
 
6.8%
뽑기짱 2
 
2.7%
플스방 2
 
2.7%
게임랜드 2
 
2.7%
오락실 2
 
2.7%
뽑다방 2
 
2.7%
동아게임장 2
 
2.7%
인형뽑기 2
 
2.7%
놀이터 2
 
2.7%
동대문 2
 
2.7%
Other values (50) 50
68.5%
2024-05-18T07:38:27.623361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
6.7%
임 19
 
6.1%
게 19
 
6.1%
스 11
 
3.5%
장 11
 
3.5%
플 9
 
2.9%
뽑 8
 
2.6%
기 8
 
2.6%
이 8
 
2.6%
방 7
 
2.2%
Other values (101) 192
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 246
78.6%
Uppercase Letter 38
 
12.1%
Space Separator 21
 
6.7%
Decimal Number 5
 
1.6%
Other Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 19
 
7.7%
게 19
 
7.7%
스 11
 
4.5%
장 11
 
4.5%
플 9
 
3.7%
뽑 8
 
3.3%
기 8
 
3.3%
이 8
 
3.3%
방 7
 
2.8%
드 7
 
2.8%
Other values (79) 139
56.5%
Uppercase Letter
ValueCountFrequency (%)
E 7
18.4%
M 5
13.2%
A 4
10.5%
N 3
7.9%
X 2
 
5.3%
O 2
 
5.3%
P 2
 
5.3%
R 2
 
5.3%
S 2
 
5.3%
G 2
 
5.3%
Other values (5) 7
18.4%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
2 2
40.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 246
78.6%
Latin 38
 
12.1%
Common 29
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 19
 
7.7%
게 19
 
7.7%
스 11
 
4.5%
장 11
 
4.5%
플 9
 
3.7%
뽑 8
 
3.3%
기 8
 
3.3%
이 8
 
3.3%
방 7
 
2.8%
드 7
 
2.8%
Other values (79) 139
56.5%
Latin
ValueCountFrequency (%)
E 7
18.4%
M 5
13.2%
A 4
10.5%
N 3
7.9%
X 2
 
5.3%
O 2
 
5.3%
P 2
 
5.3%
R 2
 
5.3%
S 2
 
5.3%
G 2
 
5.3%
Other values (5) 7
18.4%
Common
ValueCountFrequency (%)
21
72.4%
3 2
 
6.9%
2 2
 
6.9%
# 1
 
3.4%
( 1
 
3.4%
) 1
 
3.4%
1 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 246
78.6%
ASCII 67
 
21.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
31.3%
E 7
 
10.4%
M 5
 
7.5%
A 4
 
6.0%
N 3
 
4.5%
X 2
 
3.0%
O 2
 
3.0%
P 2
 
3.0%
3 2
 
3.0%
R 2
 
3.0%
Other values (12) 17
25.4%
Hangul
ValueCountFrequency (%)
임 19
 
7.7%
게 19
 
7.7%
스 11
 
4.5%
장 11
 
4.5%
플 9
 
3.7%
뽑 8
 
3.3%
기 8
 
3.3%
이 8
 
3.3%
방 7
 
2.8%
드 7
 
2.8%
Other values (79) 139
56.5%

최종수정일자
Date

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2009-03-11 13:32:14
Maximum2024-02-19 18:45:58
2024-05-18T07:38:27.902725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:38:28.259591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
I
27 
U
25 

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 27
51.9%
U 25
48.1%

Length

2024-05-18T07:38:28.645650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:28.954190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 27
51.9%
u 25
48.1%

데이터갱신일자
Date

Distinct22
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 22:01:00
2024-05-18T07:38:29.151665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T07:38:29.414104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

좌표정보(X)
Real number (ℝ)

Distinct46
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199747.5
Minimum197036.78
Maximum201875.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-18T07:38:29.758217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum197036.78
5-th percentile197385.48
Q1198750.57
median199664.66
Q3200930.23
95-th percentile201734.18
Maximum201875.88
Range4839.1003
Interquartile range (IQR)2179.6617

Descriptive statistics

Standard deviation1312.2324
Coefficient of variation (CV)0.0065694558
Kurtosis-0.90091185
Mean199747.5
Median Absolute Deviation (MAD)1063.5815
Skewness-0.13123489
Sum10386870
Variance1721953.8
MonotonicityNot monotonic
2024-05-18T07:38:30.022176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
199048.040126558 2
 
3.8%
198712.246685116 2
 
3.8%
197385.478858353 2
 
3.8%
200880.057801796 2
 
3.8%
197036.780848217 2
 
3.8%
201168.898834698 2
 
3.8%
198545.22241783 1
 
1.9%
198790.560877431 1
 
1.9%
200864.341849771 1
 
1.9%
201176.422969756 1
 
1.9%
Other values (36) 36
69.2%
ValueCountFrequency (%)
197036.780848217 2
3.8%
197385.478858353 2
3.8%
198504.772723631 1
1.9%
198545.22241783 1
1.9%
198656.933623902 1
1.9%
198683.848370092 1
1.9%
198712.246685116 2
3.8%
198713.721333434 1
1.9%
198731.246361041 1
1.9%
198749.103805377 1
1.9%
ValueCountFrequency (%)
201875.881162742 1
1.9%
201806.387536614 1
1.9%
201742.998482025 1
1.9%
201726.968400331 1
1.9%
201633.605833878 1
1.9%
201176.422969756 1
1.9%
201168.898834698 2
3.8%
201089.989130434 1
1.9%
200995.269706296 1
1.9%
200976.072317154 1
1.9%

좌표정보(Y)
Real number (ℝ)

Distinct46
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452371.83
Minimum451823
Maximum453810.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-18T07:38:30.335842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum451823
5-th percentile451853.36
Q1452038.29
median452202.37
Q3452471.31
95-th percentile453533.68
Maximum453810.95
Range1987.957
Interquartile range (IQR)433.01663

Descriptive statistics

Standard deviation519.85715
Coefficient of variation (CV)0.0011491811
Kurtosis1.1788714
Mean452371.83
Median Absolute Deviation (MAD)217.21077
Skewness1.472431
Sum23523335
Variance270251.45
MonotonicityNot monotonic
2024-05-18T07:38:31.000126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
452062.313675827 2
 
3.8%
451930.87120377 2
 
3.8%
452676.050178151 2
 
3.8%
452344.250500934 2
 
3.8%
453186.345013507 2
 
3.8%
452210.864096503 2
 
3.8%
451854.820889784 1
 
1.9%
451962.812628623 1
 
1.9%
452314.350455062 1
 
1.9%
452198.434426133 1
 
1.9%
Other values (36) 36
69.2%
ValueCountFrequency (%)
451822.996762578 1
1.9%
451834.553171381 1
1.9%
451851.568125671 1
1.9%
451854.820889784 1
1.9%
451906.850293023 1
1.9%
451930.87120377 2
3.8%
451947.74424616 1
1.9%
451962.484078847 1
1.9%
451962.63614134 1
1.9%
451962.812628623 1
1.9%
ValueCountFrequency (%)
453810.953756618 1
1.9%
453579.710857546 1
1.9%
453565.897387933 1
1.9%
453507.318524049 1
1.9%
453458.453088413 1
1.9%
453458.191077662 1
1.9%
453186.345013507 2
3.8%
452676.050178151 2
3.8%
452520.617338288 1
1.9%
452496.336088655 1
1.9%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
청소년게임제공업
39 
<NA>
13 

Length

Max length8
Median length8
Mean length7
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청소년게임제공업 39
75.0%
<NA> 13
 
25.0%

Length

2024-05-18T07:38:31.531621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:31.871058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
청소년게임제공업 39
75.0%
na 13
 
25.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
유통관련업
39 
<NA>
13 

Length

Max length5
Median length5
Mean length4.75
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 39
75.0%
<NA> 13
 
25.0%

Length

2024-05-18T07:38:32.331680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:32.630192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 39
75.0%
na 13
 
25.0%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)66.7%
Missing40
Missing (%)76.9%
Infinite0
Infinite (%)0.0%
Mean4.8333333
Minimum0
Maximum24
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-18T07:38:32.946820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q11.75
median3.5
Q34.25
95-th percentile15.2
Maximum24
Range24
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation6.407855
Coefficient of variation (CV)1.3257631
Kurtosis8.6938646
Mean4.8333333
Median Absolute Deviation (MAD)1.5
Skewness2.816884
Sum58
Variance41.060606
MonotonicityNot monotonic
2024-05-18T07:38:33.385890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 3
 
5.8%
2 2
 
3.8%
1 2
 
3.8%
5 1
 
1.9%
8 1
 
1.9%
24 1
 
1.9%
3 1
 
1.9%
0 1
 
1.9%
(Missing) 40
76.9%
ValueCountFrequency (%)
0 1
 
1.9%
1 2
3.8%
2 2
3.8%
3 1
 
1.9%
4 3
5.8%
5 1
 
1.9%
8 1
 
1.9%
24 1
 
1.9%
ValueCountFrequency (%)
24 1
 
1.9%
8 1
 
1.9%
5 1
 
1.9%
4 3
5.8%
3 1
 
1.9%
2 2
3.8%
1 2
3.8%
0 1
 
1.9%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing50
Missing (%)96.2%
Memory size548.0 B
2024-05-18T07:38:33.647478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-05-18T07:38:34.249846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2
50.0%
타 2
50.0%

제작취급품목내용
Text

MISSING 

Distinct33
Distinct (%)100.0%
Missing19
Missing (%)36.5%
Memory size548.0 B
2024-05-18T07:38:34.846812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length112
Median length22
Mean length18.787879
Min length3

Characters and Unicode

Total characters620
Distinct characters167
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row피파스트리트3, 심슨
2nd row기가윙2, 라이덴철권6, 퍼즐보들
3rd row미션크래프트, 금영퀴즈노래방, 철권5
4th row뮤직클럽, 워자이드드
5th row철권5, 킹오브더파이터즈
ValueCountFrequency (%)
1대 11
 
10.2%
2대 8
 
7.4%
토이즈팝 4
 
3.7%
철권5 3
 
2.8%
4대 2
 
1.9%
등 2
 
1.9%
멘토스 2
 
1.9%
노래하는두더지 1
 
0.9%
던전앤드래곤1대,1945 1
 
0.9%
2대,스트리트파이터2대,메가맨2ㅂ대 1
 
0.9%
Other values (73) 73
67.6%
2024-05-18T07:38:35.891963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
12.1%
, 40
 
6.5%
대 36
 
5.8%
2 30
 
4.8%
1 24
 
3.9%
이 22
 
3.5%
스 15
 
2.4%
트 14
 
2.3%
0 9
 
1.5%
토 8
 
1.3%
Other values (157) 347
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 382
61.6%
Decimal Number 91
 
14.7%
Space Separator 75
 
12.1%
Other Punctuation 40
 
6.5%
Uppercase Letter 14
 
2.3%
Dash Punctuation 7
 
1.1%
Close Punctuation 5
 
0.8%
Open Punctuation 5
 
0.8%
Letter Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 36
 
9.4%
이 22
 
5.8%
스 15
 
3.9%
트 14
 
3.7%
토 8
 
2.1%
크 8
 
2.1%
즈 7
 
1.8%
드 7
 
1.8%
래 6
 
1.6%
레 6
 
1.6%
Other values (134) 253
66.2%
Decimal Number
ValueCountFrequency (%)
2 30
33.0%
1 24
26.4%
0 9
 
9.9%
5 7
 
7.7%
4 7
 
7.7%
3 5
 
5.5%
9 4
 
4.4%
6 2
 
2.2%
8 2
 
2.2%
7 1
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
C 4
28.6%
A 3
21.4%
N 2
14.3%
F 2
14.3%
S 1
 
7.1%
D 1
 
7.1%
I 1
 
7.1%
Space Separator
ValueCountFrequency (%)
75
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 382
61.6%
Common 223
36.0%
Latin 15
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 36
 
9.4%
이 22
 
5.8%
스 15
 
3.9%
트 14
 
3.7%
토 8
 
2.1%
크 8
 
2.1%
즈 7
 
1.8%
드 7
 
1.8%
래 6
 
1.6%
레 6
 
1.6%
Other values (134) 253
66.2%
Common
ValueCountFrequency (%)
75
33.6%
, 40
17.9%
2 30
 
13.5%
1 24
 
10.8%
0 9
 
4.0%
5 7
 
3.1%
4 7
 
3.1%
- 7
 
3.1%
) 5
 
2.2%
( 5
 
2.2%
Other values (5) 14
 
6.3%
Latin
ValueCountFrequency (%)
C 4
26.7%
A 3
20.0%
N 2
13.3%
F 2
13.3%
S 1
 
6.7%
D 1
 
6.7%
I 1
 
6.7%
Ⅱ 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 381
61.5%
ASCII 237
38.2%
Compat Jamo 1
 
0.2%
Number Forms 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
31.6%
, 40
16.9%
2 30
 
12.7%
1 24
 
10.1%
0 9
 
3.8%
5 7
 
3.0%
4 7
 
3.0%
- 7
 
3.0%
) 5
 
2.1%
( 5
 
2.1%
Other values (12) 28
 
11.8%
Hangul
ValueCountFrequency (%)
대 36
 
9.4%
이 22
 
5.8%
스 15
 
3.9%
트 14
 
3.7%
토 8
 
2.1%
크 8
 
2.1%
즈 7
 
1.8%
드 7
 
1.8%
래 6
 
1.6%
레 6
 
1.6%
Other values (133) 252
66.1%
Compat Jamo
ValueCountFrequency (%)
ㅂ 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

시설면적
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)89.7%
Missing13
Missing (%)25.0%
Infinite0
Infinite (%)0.0%
Mean84.694103
Minimum16.53
Maximum298.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-18T07:38:36.282216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.53
5-th percentile19.601
Q130.315
median80.7
Q3105.365
95-th percentile216.409
Maximum298.38
Range281.85
Interquartile range (IQR)75.05

Descriptive statistics

Standard deviation66.222792
Coefficient of variation (CV)0.78190559
Kurtosis2.0924147
Mean84.694103
Median Absolute Deviation (MAD)43.2
Skewness1.4457802
Sum3303.07
Variance4385.4582
MonotonicityNot monotonic
2024-05-18T07:38:36.696273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
26.4 3
 
5.8%
95.0 2
 
3.8%
59.13 2
 
3.8%
91.8 1
 
1.9%
233.59 1
 
1.9%
44.52 1
 
1.9%
86.28 1
 
1.9%
61.83 1
 
1.9%
25.0 1
 
1.9%
28.0 1
 
1.9%
Other values (25) 25
48.1%
(Missing) 13
25.0%
ValueCountFrequency (%)
16.53 1
 
1.9%
17.54 1
 
1.9%
19.83 1
 
1.9%
23.0 1
 
1.9%
24.0 1
 
1.9%
25.0 1
 
1.9%
26.4 3
5.8%
28.0 1
 
1.9%
32.63 1
 
1.9%
33.93 1
 
1.9%
ValueCountFrequency (%)
298.38 1
1.9%
233.59 1
1.9%
214.5 1
1.9%
208.51 1
1.9%
169.69 1
1.9%
141.56 1
1.9%
125.52 1
1.9%
112.29 1
1.9%
109.99 1
1.9%
106.0 1
1.9%

지상층수
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
44 
1
8 

Length

Max length4
Median length4
Mean length3.5384615
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 44
84.6%
1 8
 
15.4%

Length

2024-05-18T07:38:37.143889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:37.540941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
84.6%
1 8
 
15.4%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
47 
1
 
4
0
 
1

Length

Max length4
Median length4
Mean length3.7115385
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row<NA>
2nd row1
3rd row<NA>
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 47
90.4%
1 4
 
7.7%
0 1
 
1.9%

Length

2024-05-18T07:38:38.023003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:38.408613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
90.4%
1 4
 
7.7%
0 1
 
1.9%

건물용도명
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
42 
근린생활시설
7 
기타
 
1
환경위생시설
 
1
사무실
 
1

Length

Max length6
Median length4
Mean length4.25
Min length2

Unique

Unique3 ?
Unique (%)5.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 42
80.8%
근린생활시설 7
 
13.5%
기타 1
 
1.9%
환경위생시설 1
 
1.9%
사무실 1
 
1.9%

Length

2024-05-18T07:38:38.775914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:39.251441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
80.8%
근린생활시설 7
 
13.5%
기타 1
 
1.9%
환경위생시설 1
 
1.9%
사무실 1
 
1.9%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
51 
0
 
1

Length

Max length4
Median length4
Mean length3.9423077
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
98.1%
0 1
 
1.9%

Length

2024-05-18T07:38:39.878766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:40.375694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
98.1%
0 1
 
1.9%

조명시설조도
Categorical

IMBALANCE 

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
41 
50
9 
80
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.5576923
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row80
2nd row50
3rd row<NA>
4th row50
5th row50

Common Values

ValueCountFrequency (%)
<NA> 41
78.8%
50 9
 
17.3%
80 1
 
1.9%
0 1
 
1.9%

Length

2024-05-18T07:38:40.904577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:41.299183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
78.8%
50 9
 
17.3%
80 1
 
1.9%
0 1
 
1.9%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
51 
0
 
1

Length

Max length4
Median length4
Mean length3.9423077
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
98.1%
0 1
 
1.9%

Length

2024-05-18T07:38:41.687377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:42.126786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
98.1%
0 1
 
1.9%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
51 
0
 
1

Length

Max length4
Median length4
Mean length3.9423077
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 51
98.1%
0 1
 
1.9%

Length

2024-05-18T07:38:42.540361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:42.870071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 51
98.1%
0 1
 
1.9%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

총게임기수
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)68.0%
Missing27
Missing (%)51.9%
Infinite0
Infinite (%)0.0%
Mean24.2
Minimum4
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-18T07:38:43.232212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q117
median20
Q332
95-th percentile44.8
Maximum70
Range66
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.1932
Coefficient of variation (CV)0.62781819
Kurtosis2.0067007
Mean24.2
Median Absolute Deviation (MAD)10
Skewness1.1143398
Sum605
Variance230.83333
MonotonicityNot monotonic
2024-05-18T07:38:43.669413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
17 3
 
5.8%
40 3
 
5.8%
32 2
 
3.8%
6 2
 
3.8%
19 2
 
3.8%
27 2
 
3.8%
12 1
 
1.9%
70 1
 
1.9%
26 1
 
1.9%
25 1
 
1.9%
Other values (7) 7
 
13.5%
(Missing) 27
51.9%
ValueCountFrequency (%)
4 1
 
1.9%
6 2
3.8%
7 1
 
1.9%
8 1
 
1.9%
12 1
 
1.9%
17 3
5.8%
18 1
 
1.9%
19 2
3.8%
20 1
 
1.9%
25 1
 
1.9%
ValueCountFrequency (%)
70 1
 
1.9%
46 1
 
1.9%
40 3
5.8%
32 2
3.8%
30 1
 
1.9%
27 2
3.8%
26 1
 
1.9%
25 1
 
1.9%
20 1
 
1.9%
19 2
3.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

제공게임물명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
전체이용가
30 
<NA>
22 

Length

Max length5
Median length5
Mean length4.5769231
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전체이용가 30
57.7%
<NA> 22
42.3%

Length

2024-05-18T07:38:44.326136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T07:38:44.800017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전체이용가 30
57.7%
na 22
42.3%

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing52
Missing (%)100.0%
Memory size600.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing50
Missing (%)96.2%
Memory size548.0 B
2024-05-18T07:38:45.164847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row일반주거지역
2nd row근린상업지역
ValueCountFrequency (%)
일반주거지역 1
50.0%
근린상업지역 1
50.0%
2024-05-18T07:38:46.051284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 2
16.7%
역 2
16.7%
일 1
8.3%
반 1
8.3%
주 1
8.3%
거 1
8.3%
근 1
8.3%
린 1
8.3%
상 1
8.3%
업 1
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2
16.7%
역 2
16.7%
일 1
8.3%
반 1
8.3%
주 1
8.3%
거 1
8.3%
근 1
8.3%
린 1
8.3%
상 1
8.3%
업 1
8.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2
16.7%
역 2
16.7%
일 1
8.3%
반 1
8.3%
주 1
8.3%
거 1
8.3%
근 1
8.3%
린 1
8.3%
상 1
8.3%
업 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 2
16.7%
역 2
16.7%
일 1
8.3%
반 1
8.3%
주 1
8.3%
거 1
8.3%
근 1
8.3%
린 1
8.3%
상 1
8.3%
업 1
8.3%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03000000CDFF224114200700000120071214<NA>3폐업3폐업20101229<NA><NA><NA>735-5744<NA>110111서울특별시 종로구 관철동 43-8번지 (1층)서울특별시 종로구 청계천로 61 (관철동,(1층))<NA>GAME ZONE2010-12-29 17:37:57I2018-08-31 23:59:59.0<NA>198545.222418451854.82089청소년게임제공업유통관련업<NA><NA><NA>80.7<NA><NA><NA><NA>80<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>19<NA>전체이용가<NA><NA><NA><NA>
13000000CDFF224114200800000120080326<NA>3폐업3폐업20140512<NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜2가 143-9번지 지하1층서울특별시 종로구 성균관로 18 (명륜2가,지하1층)<NA>PS3 GAMER2014-05-12 16:58:14I2018-08-31 23:59:59.0<NA>199723.347795453565.897388청소년게임제공업유통관련업4기타피파스트리트3, 심슨106.0<NA>1근린생활시설<NA>50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>25<NA>전체이용가<NA><NA><NA>일반주거지역
23000000CDFF224114200800000220080416<NA>3폐업3폐업20090914<NA><NA><NA>02-923-2884<NA><NA>서울특별시 종로구 숭인동 1048번지 (1층)서울특별시 종로구 종로 397 (숭인동,(1층))<NA>형제게임장2009-09-14 17:59:56I2018-08-31 23:59:59.0<NA>201806.387537452520.617338청소년게임제공업유통관련업2<NA><NA>16.531<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17<NA>전체이용가<NA><NA><NA><NA>
33000000CDFF224114200800000320080513<NA>3폐업3폐업20090310<NA><NA><NA><NA><NA>110521서울특별시 종로구 명륜1가 75-1번지 (지하1층)서울특별시 종로구 성균관로 44 (명륜1가,(지하1층))<NA>메가플스 성균관대점2009-03-11 13:32:14I2018-08-31 23:59:59.0<NA>199649.590891453810.953757청소년게임제공업유통관련업5기타<NA>103.0<NA>1근린생활시설<NA>50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17<NA><NA><NA><NA><NA>근린상업지역
43000000CDFF224114200800000420080523<NA>3폐업3폐업20140508<NA><NA><NA><NA><NA><NA>서울특별시 종로구 낙원동 225번지 (1층)서울특별시 종로구 수표로 121-1 (낙원동,(1층))<NA>삼성게임랜드2014-05-08 11:19:17I2018-08-31 23:59:59.0<NA>198939.593762452197.789327청소년게임제공업유통관련업4<NA>기가윙2, 라이덴철권6, 퍼즐보들37.51<NA>근린생활시설<NA>50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>27<NA>전체이용가<NA><NA><NA><NA>
53000000CDFF22411420080000052008-06-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜2가 36-1 성진빌딩서울특별시 종로구 대명길 24, 성진빌딩 1~2층 (명륜2가)3077대빵 오락실2023-09-08 15:01:17U2022-12-08 23:00:00.0<NA>199951.975112453458.191078<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63000000CDFF224114200800000620080611<NA>3폐업3폐업20190129<NA><NA><NA><NA><NA><NA>서울특별시 종로구 명륜2가 222번지 (1층)서울특별시 종로구 성균관로 13 (명륜2가,(1층))<NA>에이스게임광장2019-01-29 20:52:43U2019-01-31 02:40:00.0<NA>199728.673729453507.318524청소년게임제공업유통관련업4<NA>미션크래프트, 금영퀴즈노래방, 철권5169.691<NA>기타<NA>50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>46<NA><NA><NA><NA><NA><NA>
73000000CDFF22411420080000072008-07-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 관철동 6-7서울특별시 종로구 종로14길 5 (관철동)3190짱오락실 종로점2023-08-11 14:11:35U2022-12-07 23:03:00.0<NA>198785.369567451947.744246<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83000000CDFF224114200800000820080723<NA>4취소/말소/만료/정지/중지35직권말소20130705<NA><NA><NA><NA><NA><NA>서울특별시 종로구 인사동 170번지 (1층)서울특별시 종로구 인사동길 23 (인사동,(1층))<NA>게임천국2013-07-05 13:34:56I2018-08-31 23:59:59.0<NA>198713.721333452278.103939청소년게임제공업유통관련업8<NA>뮤직클럽, 워자이드드214.51<NA>환경위생시설<NA>50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>70<NA><NA><NA><NA><NA><NA>
93000000CDFF224114200800000920080909<NA>3폐업3폐업20120227<NA><NA><NA>720-8800<NA><NA>서울특별시 종로구 옥인동 156-7번지 (1층)서울특별시 종로구 옥인길 28 (옥인동,(1층))<NA>용전자2012-02-27 17:52:01I2018-08-31 23:59:59.0<NA>197036.780848453186.345014청소년게임제공업유통관련업1<NA>철권5, 킹오브더파이터즈19.831<NA>근린생활시설<NA>50<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12<NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
423000000CDFF224114201800000220180125<NA>3폐업3폐업20181121<NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 582-17번지서울특별시 종로구 창신길 40-2 (창신동)3106뽑기짱2018-11-21 09:27:25U2018-11-23 02:36:06.0<NA>200880.057802452344.250501청소년게임제공업유통관련업<NA><NA>토이즈팝, 스마일크레인26.4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
433000000CDFF224114201800000320180413<NA>3폐업3폐업20220315<NA><NA><NA><NA><NA><NA>서울특별시 종로구 관철동 14-7서울특별시 종로구 삼일대로19길 24 (관철동)3190EXTREME MAX ONE2022-03-15 15:06:36U2022-03-17 02:40:00.0<NA>198712.246685451930.871204청소년게임제공업유통관련업<NA><NA>브이알탱크 1대, 코만도스나이퍼 1대, 오더업2대, 화이트캐슬 1대, 슈퍼루키2 1대, 드래곤펀치2 1대, 썬더SD 1대 등298.38<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>32<NA>전체이용가<NA><NA><NA><NA>
443000000CDFF224114201800000420180525<NA>3폐업3폐업20220328<NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 1412서울특별시 종로구 종로66길 13, 1층 (숭인동)3116인노앙2022-03-28 14:39:09U2021-12-02 21:00:00.0<NA>201875.881163452437.940797<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453000000CDFF224114201800000520180702<NA>3폐업3폐업20180830<NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 443-11번지서울특별시 종로구 종로 282, 1층 (창신동)3119부담없는 게임장2018-08-30 16:27:20I2018-08-31 23:59:59.0<NA>200824.98051452030.704658청소년게임제공업유통관련업<NA><NA>상하이2, 상하이3, 라이덴2, 덴가이 등32.63<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>전체이용가<NA><NA><NA><NA>
463000000CDFF224114201800000620181130<NA>3폐업3폐업20210623<NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 582-17서울특별시 종로구 창신길 40-2, 1층 (창신동)3106뽑기짱2021-06-23 16:13:48U2021-06-25 02:40:00.0<NA>200880.057802452344.250501청소년게임제공업유통관련업<NA><NA>토이즈팝26.4<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>
473000000CDFF224114201900000220190402<NA>3폐업3폐업20200902<NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 177-2 서림빌딩 지하1층서울특별시 종로구 종로 377-3, 서림빌딩 지하1층 (숭인동)3112이기자 게임랜드2020-09-02 15:08:40U2020-09-04 02:40:00.0<NA>201633.605834452465.228032청소년게임제공업유통관련업<NA><NA>제왕전208.51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>40<NA><NA><NA><NA><NA><NA>
483000000CDFF22411420190000042019-06-13<NA>3폐업3폐업2023-08-31<NA><NA><NA><NA><NA><NA>서울특별시 종로구 숭인동 183-9 정우빌딩서울특별시 종로구 종로 389, 정우빌딩 1층 (숭인동)3112뽑기#2023-09-01 17:47:08U2022-12-09 00:03:00.0<NA>201742.998482452496.336089<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493000000CDFF224114201900000520191022<NA>4취소/말소/만료/정지/중지35직권말소20220729<NA><NA><NA><NA><NA><NA>서울특별시 종로구 창신동 330-18서울특별시 종로구 종로54길 3, 1층 (창신동)3121동대문 놀이터2022-07-29 16:06:13U2021-12-06 21:01:00.0<NA>201168.898835452210.864097<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503000000CDFF224114202000000120201007<NA>1영업/정상13영업중<NA><NA><NA><NA>02-730-9966<NA><NA>서울특별시 종로구 관철동 12-5 Lee's빌딩서울특별시 종로구 삼일대로15길 16, Lee's빌딩 지하1층 (관철동)3190트레블 플스방2022-11-28 16:37:53U2021-10-31 21:00:00.0<NA>198749.103805451851.568126<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513000000CDFF22411420230000012023-10-16<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 종로구 낙원동 122 쎄느장여관서울특별시 종로구 돈화문로11길 28-5, 쎄느장여관 1층 (낙원동)3133새서울 콤콤 오락실2024-02-19 18:45:58U2023-12-01 22:01:00.0<NA>199032.184941452280.659364<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>