Overview

Dataset statistics

Number of variables56
Number of observations30
Missing cells1016
Missing cells (%)60.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory489.4 B

Variable types

Categorical10
Text10
DateTime4
Unsupported28
Numeric4

Dataset

Description개방자치단체코드,관리번호,인허가일자,인허가취소일자,영업상태코드,영업상태명,상세영업상태코드,상세영업상태명,폐업일자,휴업시작일자,휴업종료일자,재개업일자,전화번호,소재지면적,소재지우편번호,지번주소,도로명주소,도로명우편번호,사업장명,최종수정일자,데이터갱신구분,데이터갱신일자,업태구분명,좌표정보(X),좌표정보(Y),문화체육업종명,문화사업자구분명,총층수,주변환경명,제작취급품목내용,시설면적,지상층수,지하층수,건물용도명,통로너비,조명시설조도,노래방실수,청소년실수,비상계단여부,비상구여부,자동환기여부,청소년실여부,특수조명여부,방음시설여부,비디오재생기명,조명시설유무,음향시설여부,편의시설여부,소방시설여부,총게임기수,기존게임업외업종명,제공게임물명,공연장형태구분명,품목명,최초등록시점,지역구분명
Author서대문구
URLhttps://data.seoul.go.kr/dataList/OA-16678/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
지역구분명 has constant value ""Constant
총층수 is highly imbalanced (53.1%)Imbalance
지상층수 is highly imbalanced (57.4%)Imbalance
인허가취소일자 has 30 (100.0%) missing valuesMissing
폐업일자 has 8 (26.7%) missing valuesMissing
휴업시작일자 has 30 (100.0%) missing valuesMissing
휴업종료일자 has 30 (100.0%) missing valuesMissing
재개업일자 has 30 (100.0%) missing valuesMissing
전화번호 has 20 (66.7%) missing valuesMissing
소재지면적 has 30 (100.0%) missing valuesMissing
소재지우편번호 has 26 (86.7%) missing valuesMissing
도로명주소 has 3 (10.0%) missing valuesMissing
도로명우편번호 has 14 (46.7%) missing valuesMissing
업태구분명 has 30 (100.0%) missing valuesMissing
좌표정보(X) has 3 (10.0%) missing valuesMissing
좌표정보(Y) has 3 (10.0%) missing valuesMissing
주변환경명 has 29 (96.7%) missing valuesMissing
제작취급품목내용 has 5 (16.7%) missing valuesMissing
시설면적 has 8 (26.7%) missing valuesMissing
지하층수 has 30 (100.0%) missing valuesMissing
건물용도명 has 28 (93.3%) missing valuesMissing
통로너비 has 30 (100.0%) missing valuesMissing
조명시설조도 has 30 (100.0%) missing valuesMissing
노래방실수 has 30 (100.0%) missing valuesMissing
청소년실수 has 30 (100.0%) missing valuesMissing
비상계단여부 has 30 (100.0%) missing valuesMissing
비상구여부 has 30 (100.0%) missing valuesMissing
자동환기여부 has 30 (100.0%) missing valuesMissing
청소년실여부 has 30 (100.0%) missing valuesMissing
특수조명여부 has 30 (100.0%) missing valuesMissing
방음시설여부 has 30 (100.0%) missing valuesMissing
비디오재생기명 has 30 (100.0%) missing valuesMissing
조명시설유무 has 30 (100.0%) missing valuesMissing
음향시설여부 has 30 (100.0%) missing valuesMissing
편의시설여부 has 30 (100.0%) missing valuesMissing
소방시설여부 has 30 (100.0%) missing valuesMissing
총게임기수 has 30 (100.0%) missing valuesMissing
기존게임업외업종명 has 30 (100.0%) missing valuesMissing
제공게임물명 has 30 (100.0%) missing valuesMissing
공연장형태구분명 has 30 (100.0%) missing valuesMissing
품목명 has 30 (100.0%) missing valuesMissing
최초등록시점 has 30 (100.0%) missing valuesMissing
지역구분명 has 29 (96.7%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지하층수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
통로너비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설조도 is an unsupported type, check if it needs cleaning or further analysisUnsupported
노래방실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상계단여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비상구여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
자동환기여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
청소년실여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
특수조명여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
방음시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
비디오재생기명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
조명시설유무 is an unsupported type, check if it needs cleaning or further analysisUnsupported
음향시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
편의시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소방시설여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총게임기수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기존게임업외업종명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제공게임물명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공연장형태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
품목명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초등록시점 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 1 (3.3%) zerosZeros

Reproduction

Analysis started2024-04-06 12:54:29.232575
Analysis finished2024-04-06 12:54:30.429663
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3120000
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3120000
2nd row3120000
3rd row3120000
4th row3120000
5th row3120000

Common Values

ValueCountFrequency (%)
3120000 30
100.0%

Length

2024-04-06T21:54:30.580411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:54:30.815993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 30
100.0%

관리번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T21:54:31.156366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters600
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowCDFF2241122003000001
2nd rowCDFF2241122005000001
3rd rowCDFF2241122005000002
4th rowCDFF2241122007000001
5th rowCDFF2241122007000002
ValueCountFrequency (%)
cdff2241122003000001 1
 
3.3%
cdff2241122005000001 1
 
3.3%
cdff2241122023000001 1
 
3.3%
cdff2241122022000001 1
 
3.3%
cdff2241122019000003 1
 
3.3%
cdff2241122019000002 1
 
3.3%
cdff2241122019000001 1
 
3.3%
cdff2241122018000001 1
 
3.3%
cdff2241122017000002 1
 
3.3%
cdff2241122016000002 1
 
3.3%
Other values (20) 20
66.7%
2024-04-06T21:54:31.854318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 190
31.7%
2 137
22.8%
1 95
15.8%
F 60
 
10.0%
4 32
 
5.3%
C 30
 
5.0%
D 30
 
5.0%
3 8
 
1.3%
9 6
 
1.0%
5 5
 
0.8%
Other values (3) 7
 
1.2%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 190
39.6%
2 137
28.5%
1 95
19.8%
4 32
 
6.7%
3 8
 
1.7%
9 6
 
1.2%
5 5
 
1.0%
7 3
 
0.6%
8 2
 
0.4%
6 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 60
50.0%
C 30
25.0%
D 30
25.0%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 190
39.6%
2 137
28.5%
1 95
19.8%
4 32
 
6.7%
3 8
 
1.7%
9 6
 
1.2%
5 5
 
1.0%
7 3
 
0.6%
8 2
 
0.4%
6 2
 
0.4%
Latin
ValueCountFrequency (%)
F 60
50.0%
C 30
25.0%
D 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 190
31.7%
2 137
22.8%
1 95
15.8%
F 60
 
10.0%
4 32
 
5.3%
C 30
 
5.0%
D 30
 
5.0%
3 8
 
1.3%
9 6
 
1.0%
5 5
 
0.8%
Other values (3) 7
 
1.2%

인허가일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2001-11-10 00:00:00
Maximum2023-05-08 00:00:00
2024-04-06T21:54:32.194739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:54:32.424777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
12 
4
9 
1
8 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 12
40.0%
4 9
30.0%
1 8
26.7%
5 1
 
3.3%

Length

2024-04-06T21:54:32.703126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:54:32.949053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 12
40.0%
4 9
30.0%
1 8
26.7%
5 1
 
3.3%

영업상태명
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
폐업
12 
취소/말소/만료/정지/중지
9 
영업/정상
8 
제외/삭제/전출
 
1

Length

Max length14
Median length8
Mean length6.6
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 12
40.0%
취소/말소/만료/정지/중지 9
30.0%
영업/정상 8
26.7%
제외/삭제/전출 1
 
3.3%

Length

2024-04-06T21:54:33.218174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:54:33.464314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 12
40.0%
취소/말소/만료/정지/중지 9
30.0%
영업/정상 8
26.7%
제외/삭제/전출 1
 
3.3%

상세영업상태코드
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
12 
35
9 
13
8 
15
 
1

Length

Max length2
Median length2
Mean length1.6
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
3 12
40.0%
35 9
30.0%
13 8
26.7%
15 1
 
3.3%

Length

2024-04-06T21:54:33.766163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:54:34.423440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 12
40.0%
35 9
30.0%
13 8
26.7%
15 1
 
3.3%

상세영업상태명
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
폐업
12 
직권말소
9 
영업중
8 
전출
 
1

Length

Max length4
Median length3
Mean length2.8666667
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 12
40.0%
직권말소 9
30.0%
영업중 8
26.7%
전출 1
 
3.3%

Length

2024-04-06T21:54:34.745419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:54:35.176474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 12
40.0%
직권말소 9
30.0%
영업중 8
26.7%
전출 1
 
3.3%

폐업일자
Date

MISSING 

Distinct13
Distinct (%)59.1%
Missing8
Missing (%)26.7%
Memory size372.0 B
Minimum2012-03-05 00:00:00
Maximum2023-09-20 00:00:00
2024-04-06T21:54:35.424960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:54:35.685169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct9
Distinct (%)90.0%
Missing20
Missing (%)66.7%
Memory size372.0 B
2024-04-06T21:54:36.158184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.4
Min length8

Characters and Unicode

Total characters104
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

Unique8 ?
Unique (%)80.0%

Sample

1st row312-7763
2nd row394-7713
3rd row363-4783
4th row02-2263-3233
5th row2201-1171
ValueCountFrequency (%)
070-8287-3474 2
20.0%
312-7763 1
10.0%
394-7713 1
10.0%
363-4783 1
10.0%
02-2263-3233 1
10.0%
2201-1171 1
10.0%
02)458-1411 1
10.0%
023932574 1
10.0%
070-4179-6560 1
10.0%
2024-04-06T21:54:36.825635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 15
14.4%
3 15
14.4%
- 13
12.5%
2 12
11.5%
0 11
10.6%
4 10
9.6%
1 10
9.6%
8 6
 
5.8%
6 5
 
4.8%
9 3
 
2.9%
Other values (2) 4
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 90
86.5%
Dash Punctuation 13
 
12.5%
Close Punctuation 1
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 15
16.7%
3 15
16.7%
2 12
13.3%
0 11
12.2%
4 10
11.1%
1 10
11.1%
8 6
 
6.7%
6 5
 
5.6%
9 3
 
3.3%
5 3
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 15
14.4%
3 15
14.4%
- 13
12.5%
2 12
11.5%
0 11
10.6%
4 10
9.6%
1 10
9.6%
8 6
 
5.8%
6 5
 
4.8%
9 3
 
2.9%
Other values (2) 4
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 15
14.4%
3 15
14.4%
- 13
12.5%
2 12
11.5%
0 11
10.6%
4 10
9.6%
1 10
9.6%
8 6
 
5.8%
6 5
 
4.8%
9 3
 
2.9%
Other values (2) 4
 
3.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing26
Missing (%)86.7%
Memory size372.0 B
2024-04-06T21:54:37.128468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.25
Min length6

Characters and Unicode

Total characters25
Distinct characters9
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

Unique4 ?
Unique (%)100.0%

Sample

1st row120-709
2nd row120834
3rd row120709
4th row120140
ValueCountFrequency (%)
120-709 1
25.0%
120834 1
25.0%
120709 1
25.0%
120140 1
25.0%
2024-04-06T21:54:37.700604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7
28.0%
1 5
20.0%
2 4
16.0%
7 2
 
8.0%
9 2
 
8.0%
4 2
 
8.0%
- 1
 
4.0%
8 1
 
4.0%
3 1
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
96.0%
Dash Punctuation 1
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7
29.2%
1 5
20.8%
2 4
16.7%
7 2
 
8.3%
9 2
 
8.3%
4 2
 
8.3%
8 1
 
4.2%
3 1
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7
28.0%
1 5
20.0%
2 4
16.0%
7 2
 
8.0%
9 2
 
8.0%
4 2
 
8.0%
- 1
 
4.0%
8 1
 
4.0%
3 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7
28.0%
1 5
20.0%
2 4
16.0%
7 2
 
8.0%
9 2
 
8.0%
4 2
 
8.0%
- 1
 
4.0%
8 1
 
4.0%
3 1
 
4.0%

지번주소
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T21:54:38.065768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length27.633333
Min length15

Characters and Unicode

Total characters829
Distinct characters71
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)86.7%

Sample

1st row서울특별시 서대문구 충정로*가 ***번지 케이원리트빌딩 **~**층
2nd row서울특별시 서대문구 창천동 **-**번지
3rd row서울특별시 서대문구 연희동 ***-***번지 대농빌딩***
4th row서울특별시 서대문구 충정로*가 ***번지 케이원리트빌딩 **층~**층
5th row서울특별시 서대문구 신촌동 ***번지 연세대학교공학원
ValueCountFrequency (%)
서울특별시 30
19.9%
서대문구 30
19.9%
번지 19
12.6%
9
 
6.0%
층 7
 
4.6%
연희동 7
 
4.6%
창천동 6
 
4.0%
호 6
 
4.0%
충정로*가 5
 
3.3%
합동 4
 
2.6%
Other values (23) 28
18.5%
2024-04-06T21:54:38.756170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 163
19.7%
142
17.1%
서 60
 
7.2%
대 35
 
4.2%
시 31
 
3.7%
특 30
 
3.6%
별 30
 
3.6%
문 30
 
3.6%
구 30
 
3.6%
울 30
 
3.6%
Other values (61) 248
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 498
60.1%
Other Punctuation 164
 
19.8%
Space Separator 142
 
17.1%
Dash Punctuation 18
 
2.2%
Uppercase Letter 5
 
0.6%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 60
 
12.0%
대 35
 
7.0%
시 31
 
6.2%
특 30
 
6.0%
별 30
 
6.0%
문 30
 
6.0%
구 30
 
6.0%
울 30
 
6.0%
동 26
 
5.2%
지 20
 
4.0%
Other values (53) 176
35.3%
Uppercase Letter
ValueCountFrequency (%)
J 2
40.0%
M 2
40.0%
C 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 163
99.4%
, 1
 
0.6%
Space Separator
ValueCountFrequency (%)
142
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 498
60.1%
Common 326
39.3%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 60
 
12.0%
대 35
 
7.0%
시 31
 
6.2%
특 30
 
6.0%
별 30
 
6.0%
문 30
 
6.0%
구 30
 
6.0%
울 30
 
6.0%
동 26
 
5.2%
지 20
 
4.0%
Other values (53) 176
35.3%
Common
ValueCountFrequency (%)
* 163
50.0%
142
43.6%
- 18
 
5.5%
~ 2
 
0.6%
, 1
 
0.3%
Latin
ValueCountFrequency (%)
J 2
40.0%
M 2
40.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 498
60.1%
ASCII 331
39.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 163
49.2%
142
42.9%
- 18
 
5.4%
J 2
 
0.6%
~ 2
 
0.6%
M 2
 
0.6%
C 1
 
0.3%
, 1
 
0.3%
Hangul
ValueCountFrequency (%)
서 60
 
12.0%
대 35
 
7.0%
시 31
 
6.2%
특 30
 
6.0%
별 30
 
6.0%
문 30
 
6.0%
구 30
 
6.0%
울 30
 
6.0%
동 26
 
5.2%
지 20
 
4.0%
Other values (53) 176
35.3%

도로명주소
Text

MISSING 

Distinct26
Distinct (%)96.3%
Missing3
Missing (%)10.0%
Memory size372.0 B
2024-04-06T21:54:39.184784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length33.296296
Min length23

Characters and Unicode

Total characters899
Distinct characters77
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)92.6%

Sample

1st row서울특별시 서대문구 충정로 ** (충정로*가,케이원리트빌딩 **~**층)
2nd row서울특별시 서대문구 명물길 ** (창천동)
3rd row서울특별시 서대문구 홍제천로 *** (연희동,대농빌딩***)
4th row서울특별시 서대문구 충정로 ** (충정로*가,케이원리트빌딩 **층~**층)
5th row서울특별시 서대문구 연세로 ** (신촌동,연세대학교공학원)
ValueCountFrequency (%)
28
16.7%
서울특별시 27
16.1%
서대문구 27
16.1%
층 9
 
5.4%
호 9
 
5.4%
창천동 5
 
3.0%
연희동 4
 
2.4%
서소문로 4
 
2.4%
연세로 3
 
1.8%
연희로 3
 
1.8%
Other values (39) 49
29.2%
2024-04-06T21:54:39.986572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
16.4%
* 130
 
14.5%
서 58
 
6.5%
대 33
 
3.7%
문 31
 
3.4%
로 30
 
3.3%
별 27
 
3.0%
, 27
 
3.0%
특 27
 
3.0%
구 27
 
3.0%
Other values (67) 362
40.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 530
59.0%
Other Punctuation 157
 
17.5%
Space Separator 147
 
16.4%
Open Punctuation 27
 
3.0%
Close Punctuation 27
 
3.0%
Uppercase Letter 6
 
0.7%
Dash Punctuation 3
 
0.3%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 58
 
10.9%
대 33
 
6.2%
문 31
 
5.8%
로 30
 
5.7%
별 27
 
5.1%
특 27
 
5.1%
구 27
 
5.1%
울 27
 
5.1%
시 27
 
5.1%
동 26
 
4.9%
Other values (56) 217
40.9%
Uppercase Letter
ValueCountFrequency (%)
M 2
33.3%
J 2
33.3%
A 1
16.7%
C 1
16.7%
Other Punctuation
ValueCountFrequency (%)
* 130
82.8%
, 27
 
17.2%
Space Separator
ValueCountFrequency (%)
147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 530
59.0%
Common 363
40.4%
Latin 6
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 58
 
10.9%
대 33
 
6.2%
문 31
 
5.8%
로 30
 
5.7%
별 27
 
5.1%
특 27
 
5.1%
구 27
 
5.1%
울 27
 
5.1%
시 27
 
5.1%
동 26
 
4.9%
Other values (56) 217
40.9%
Common
ValueCountFrequency (%)
147
40.5%
* 130
35.8%
, 27
 
7.4%
( 27
 
7.4%
) 27
 
7.4%
- 3
 
0.8%
~ 2
 
0.6%
Latin
ValueCountFrequency (%)
M 2
33.3%
J 2
33.3%
A 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 530
59.0%
ASCII 369
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
39.8%
* 130
35.2%
, 27
 
7.3%
( 27
 
7.3%
) 27
 
7.3%
- 3
 
0.8%
M 2
 
0.5%
~ 2
 
0.5%
J 2
 
0.5%
A 1
 
0.3%
Hangul
ValueCountFrequency (%)
서 58
 
10.9%
대 33
 
6.2%
문 31
 
5.8%
로 30
 
5.7%
별 27
 
5.1%
특 27
 
5.1%
구 27
 
5.1%
울 27
 
5.1%
시 27
 
5.1%
동 26
 
4.9%
Other values (56) 217
40.9%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)87.5%
Missing14
Missing (%)46.7%
Infinite0
Infinite (%)0.0%
Mean3740.3125
Minimum3631
Maximum3787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:54:40.270048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3631
5-th percentile3683.5
Q13724.25
median3741
Q33776
95-th percentile3785.5
Maximum3787
Range156
Interquartile range (IQR)51.75

Descriptive statistics

Standard deviation40.092757
Coefficient of variation (CV)0.010719093
Kurtosis2.504185
Mean3740.3125
Median Absolute Deviation (MAD)26.5
Skewness-1.2527693
Sum59845
Variance1607.4292
MonotonicityNot monotonic
2024-04-06T21:54:40.582185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3741 2
 
6.7%
3776 2
 
6.7%
3726 1
 
3.3%
3722 1
 
3.3%
3737 1
 
3.3%
3748 1
 
3.3%
3631 1
 
3.3%
3701 1
 
3.3%
3725 1
 
3.3%
3761 1
 
3.3%
Other values (4) 4
 
13.3%
(Missing) 14
46.7%
ValueCountFrequency (%)
3631 1
3.3%
3701 1
3.3%
3708 1
3.3%
3722 1
3.3%
3725 1
3.3%
3726 1
3.3%
3737 1
3.3%
3741 2
6.7%
3748 1
3.3%
3761 1
3.3%
ValueCountFrequency (%)
3787 1
3.3%
3785 1
3.3%
3780 1
3.3%
3776 2
6.7%
3761 1
3.3%
3748 1
3.3%
3741 2
6.7%
3737 1
3.3%
3726 1
3.3%
3725 1
3.3%

사업장명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-06T21:54:41.076400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length7.9333333
Min length3

Characters and Unicode

Total characters238
Distinct characters98
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row와이더댄(주)
2nd row(주)안다미로엔터
3rd row대동상사
4th row리얼네트웍스 아시아퍼시픽 주식회사
5th row(주)지앤씨인터렉티브
ValueCountFrequency (%)
주식회사 4
 
9.8%
퍼니록스 2
 
4.9%
와이더댄(주 1
 
2.4%
주)엔팩트 1
 
2.4%
월드소프트 1
 
2.4%
주)인피니스 1
 
2.4%
블루인터렉티브주식회사 1
 
2.4%
유캔아이 1
 
2.4%
전자 1
 
2.4%
주)하마게임즈 1
 
2.4%
Other values (27) 27
65.9%
2024-04-06T21:54:41.862192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 17
 
7.1%
( 12
 
5.0%
) 12
 
5.0%
11
 
4.6%
트 8
 
3.4%
이 7
 
2.9%
사 6
 
2.5%
프 5
 
2.1%
스 5
 
2.1%
회 5
 
2.1%
Other values (88) 150
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 188
79.0%
Open Punctuation 12
 
5.0%
Close Punctuation 12
 
5.0%
Lowercase Letter 12
 
5.0%
Space Separator 11
 
4.6%
Uppercase Letter 3
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 17
 
9.0%
트 8
 
4.3%
이 7
 
3.7%
사 6
 
3.2%
프 5
 
2.7%
스 5
 
2.7%
회 5
 
2.7%
식 5
 
2.7%
리 5
 
2.7%
아 5
 
2.7%
Other values (75) 120
63.8%
Lowercase Letter
ValueCountFrequency (%)
n 3
25.0%
t 3
25.0%
e 2
16.7%
m 1
 
8.3%
i 1
 
8.3%
r 1
 
8.3%
a 1
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
C 1
33.3%
E 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 188
79.0%
Common 35
 
14.7%
Latin 15
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 17
 
9.0%
트 8
 
4.3%
이 7
 
3.7%
사 6
 
3.2%
프 5
 
2.7%
스 5
 
2.7%
회 5
 
2.7%
식 5
 
2.7%
리 5
 
2.7%
아 5
 
2.7%
Other values (75) 120
63.8%
Latin
ValueCountFrequency (%)
n 3
20.0%
t 3
20.0%
e 2
13.3%
m 1
 
6.7%
i 1
 
6.7%
G 1
 
6.7%
C 1
 
6.7%
E 1
 
6.7%
r 1
 
6.7%
a 1
 
6.7%
Common
ValueCountFrequency (%)
( 12
34.3%
) 12
34.3%
11
31.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 188
79.0%
ASCII 50
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 17
 
9.0%
트 8
 
4.3%
이 7
 
3.7%
사 6
 
3.2%
프 5
 
2.7%
스 5
 
2.7%
회 5
 
2.7%
식 5
 
2.7%
리 5
 
2.7%
아 5
 
2.7%
Other values (75) 120
63.8%
ASCII
ValueCountFrequency (%)
( 12
24.0%
) 12
24.0%
11
22.0%
n 3
 
6.0%
t 3
 
6.0%
e 2
 
4.0%
m 1
 
2.0%
i 1
 
2.0%
G 1
 
2.0%
C 1
 
2.0%
Other values (3) 3
 
6.0%

최종수정일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2008-01-31 13:15:09
Maximum2024-01-02 10:57:48
2024-04-06T21:54:42.130699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:54:42.511858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

데이터갱신구분
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
U
20 
I
9 
D
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
U 20
66.7%
I 9
30.0%
D 1
 
3.3%

Length

2024-04-06T21:54:42.853247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:54:43.089068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 20
66.7%
i 9
30.0%
d 1
 
3.3%

데이터갱신일자
Date

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-01 00:04:00
2024-04-06T21:54:43.299842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T21:54:43.551869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)77.8%
Missing3
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean195080.45
Minimum193475.69
Maximum196945.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:54:43.790303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum193475.69
5-th percentile193572.19
Q1194055.44
median194584.96
Q3196347.56
95-th percentile196929.45
Maximum196945.45
Range3469.765
Interquartile range (IQR)2292.1212

Descriptive statistics

Standard deviation1238.1452
Coefficient of variation (CV)0.0063468445
Kurtosis-1.3663174
Mean195080.45
Median Absolute Deviation (MAD)822.31816
Skewness0.43131683
Sum5267172
Variance1533003.7
MonotonicityNot monotonic
2024-04-06T21:54:44.049372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
194584.959249312 3
 
10.0%
196945.454641052 2
 
6.7%
194518.269763524 2
 
6.7%
196892.09236853 2
 
6.7%
196796.370142665 2
 
6.7%
193512.063538706 1
 
3.3%
195365.105573839 1
 
3.3%
193762.64108662 1
 
3.3%
194255.341892024 1
 
3.3%
196662.335160742 1
 
3.3%
Other values (11) 11
36.7%
(Missing) 3
 
10.0%
ValueCountFrequency (%)
193475.689664738 1
3.3%
193512.063538706 1
3.3%
193712.476983727 1
3.3%
193762.64108662 1
3.3%
193825.140958963 1
3.3%
193834.949393318 1
3.3%
194033.03782295 1
3.3%
194077.84933392 1
3.3%
194255.341892024 1
3.3%
194461.185475772 1
3.3%
ValueCountFrequency (%)
196945.454641052 2
6.7%
196892.09236853 2
6.7%
196796.370142665 2
6.7%
196662.335160742 1
 
3.3%
196032.794344858 1
 
3.3%
195666.45164087 1
 
3.3%
195586.577031917 1
 
3.3%
195365.105573839 1
 
3.3%
194849.138479032 1
 
3.3%
194584.959249312 3
10.0%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)77.8%
Missing3
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean451486.7
Minimum450512.16
Maximum455495.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:54:44.311794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450512.16
5-th percentile450551.36
Q1450846.12
median451083.2
Q3451520.92
95-th percentile453629.18
Maximum455495.97
Range4983.8193
Interquartile range (IQR)674.7928

Descriptive statistics

Standard deviation1109.7713
Coefficient of variation (CV)0.0024580376
Kurtosis6.3044493
Mean451486.7
Median Absolute Deviation (MAD)339.87056
Skewness2.3674155
Sum12190141
Variance1231592.3
MonotonicityNot monotonic
2024-04-06T21:54:44.529043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
451381.585492051 3
 
10.0%
451003.162676008 2
 
6.7%
450743.332695162 2
 
6.7%
450948.915518467 2
 
6.7%
451083.20325335 2
 
6.7%
450729.659039664 1
 
3.3%
455495.974784185 1
 
3.3%
451445.274814853 1
 
3.3%
452277.675204379 1
 
3.3%
450999.900043141 1
 
3.3%
Other values (11) 11
36.7%
(Missing) 3
 
10.0%
ValueCountFrequency (%)
450512.155519127 1
3.3%
450514.653917441 1
3.3%
450637.010875398 1
3.3%
450665.596223704 1
3.3%
450729.659039664 1
3.3%
450743.332695162 2
6.7%
450948.915518467 2
6.7%
450999.900043141 1
3.3%
451003.162676008 2
6.7%
451083.20325335 2
6.7%
ValueCountFrequency (%)
455495.974784185 1
 
3.3%
453929.325030582 1
 
3.3%
452928.832673894 1
 
3.3%
452277.675204379 1
 
3.3%
452239.291402163 1
 
3.3%
451724.520781803 1
 
3.3%
451596.559001468 1
 
3.3%
451445.274814853 1
 
3.3%
451394.022868094 1
 
3.3%
451381.585492051 3
10.0%

문화체육업종명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
게임물배급업
25 
<NA>
5 

Length

Max length6
Median length6
Mean length5.6666667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 25
83.3%
<NA> 5
 
16.7%

Length

2024-04-06T21:54:44.733324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:54:44.976490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 25
83.3%
na 5
 
16.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
유통관련업
25 
<NA>
5 

Length

Max length5
Median length5
Mean length4.8333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 25
83.3%
<NA> 5
 
16.7%

Length

2024-04-06T21:54:45.234085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:54:45.450638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 25
83.3%
na 5
 
16.7%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
27 
1
3 

Length

Max length4
Median length4
Mean length3.7
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> 27
90.0%
1 3
 
10.0%

Length

2024-04-06T21:54:45.752218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:54:45.970402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
90.0%
1 3
 
10.0%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2024-04-06T21:54:46.106738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
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

Unique1 ?
Unique (%)100.0%

Sample

1st row기타
ValueCountFrequency (%)
기타 1
100.0%
2024-04-06T21:54:46.502759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 1
50.0%
타 1
50.0%

제작취급품목내용
Text

MISSING 

Distinct22
Distinct (%)88.0%
Missing5
Missing (%)16.7%
Memory size372.0 B
2024-04-06T21:54:46.850592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length8.12
Min length3

Characters and Unicode

Total characters203
Distinct characters66
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)84.0%

Sample

1st row게임물
2nd row게임물
3rd row엄지족타자왕외
4th row갓오브워외
5th row게임 프로그램 배급
ValueCountFrequency (%)
게임 5
 
12.5%
게임물 4
 
10.0%
온라인게임 2
 
5.0%
모바일 1
 
2.5%
모바일기반 1
 
2.5%
소프트웨어,프로그램개발등 1
 
2.5%
모바일게임 1
 
2.5%
일반게임 1
 
2.5%
스마트폰게임 1
 
2.5%
온라인 1
 
2.5%
Other values (22) 22
55.0%
2024-04-06T21:54:47.545492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 24
 
11.8%
임 24
 
11.8%
15
 
7.4%
, 9
 
4.4%
인 6
 
3.0%
프 6
 
3.0%
트 6
 
3.0%
일 6
 
3.0%
라 5
 
2.5%
온 5
 
2.5%
Other values (56) 97
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
83.3%
Space Separator 15
 
7.4%
Other Punctuation 9
 
4.4%
Uppercase Letter 6
 
3.0%
Lowercase Letter 2
 
1.0%
Decimal Number 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 24
 
14.2%
임 24
 
14.2%
인 6
 
3.6%
프 6
 
3.6%
트 6
 
3.6%
일 6
 
3.6%
라 5
 
3.0%
온 5
 
3.0%
모 5
 
3.0%
바 5
 
3.0%
Other values (45) 77
45.6%
Uppercase Letter
ValueCountFrequency (%)
D 2
33.3%
S 1
16.7%
C 1
16.7%
P 1
16.7%
W 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
83.3%
Common 26
 
12.8%
Latin 8
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 24
 
14.2%
임 24
 
14.2%
인 6
 
3.6%
프 6
 
3.6%
트 6
 
3.6%
일 6
 
3.6%
라 5
 
3.0%
온 5
 
3.0%
모 5
 
3.0%
바 5
 
3.0%
Other values (45) 77
45.6%
Latin
ValueCountFrequency (%)
D 2
25.0%
c 1
12.5%
S 1
12.5%
C 1
12.5%
P 1
12.5%
W 1
12.5%
p 1
12.5%
Common
ValueCountFrequency (%)
15
57.7%
, 9
34.6%
2 1
 
3.8%
3 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
83.3%
ASCII 34
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 24
 
14.2%
임 24
 
14.2%
인 6
 
3.6%
프 6
 
3.6%
트 6
 
3.6%
일 6
 
3.6%
라 5
 
3.0%
온 5
 
3.0%
모 5
 
3.0%
바 5
 
3.0%
Other values (45) 77
45.6%
ASCII
ValueCountFrequency (%)
15
44.1%
, 9
26.5%
D 2
 
5.9%
c 1
 
2.9%
S 1
 
2.9%
C 1
 
2.9%
P 1
 
2.9%
W 1
 
2.9%
p 1
 
2.9%
2 1
 
2.9%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)90.9%
Missing8
Missing (%)26.7%
Infinite0
Infinite (%)0.0%
Mean80.645455
Minimum0
Maximum411.57
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-06T21:54:47.807324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.15
Q117.325
median28.36
Q397.635
95-th percentile357.352
Maximum411.57
Range411.57
Interquartile range (IQR)80.31

Descriptive statistics

Standard deviation109.85347
Coefficient of variation (CV)1.3621781
Kurtosis4.8244114
Mean80.645455
Median Absolute Deviation (MAD)23.5
Skewness2.260056
Sum1774.2
Variance12067.785
MonotonicityNot monotonic
2024-04-06T21:54:48.029482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20.0 3
 
10.0%
99.2 1
 
3.3%
22.16 1
 
3.3%
155.23 1
 
3.3%
10.0 1
 
3.3%
69.1 1
 
3.3%
7.0 1
 
3.3%
19.8 1
 
3.3%
92.94 1
 
3.3%
16.5 1
 
3.3%
Other values (10) 10
33.3%
(Missing) 8
26.7%
ValueCountFrequency (%)
0.0 1
 
3.3%
7.0 1
 
3.3%
10.0 1
 
3.3%
11.0 1
 
3.3%
15.0 1
 
3.3%
16.5 1
 
3.3%
19.8 1
 
3.3%
20.0 3
10.0%
22.16 1
 
3.3%
34.56 1
 
3.3%
ValueCountFrequency (%)
411.57 1
3.3%
367.99 1
3.3%
155.23 1
3.3%
132.23 1
3.3%
116.81 1
3.3%
99.2 1
3.3%
92.94 1
3.3%
79.11 1
3.3%
69.1 1
3.3%
54.0 1
3.3%

지상층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
<NA>
26 
1
3 
3
 
1

Length

Max length4
Median length4
Mean length3.6
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
86.7%
1 3
 
10.0%
3 1
 
3.3%

Length

2024-04-06T21:54:48.282731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T21:54:48.510075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
86.7%
1 3
 
10.0%
3 1
 
3.3%

지하층수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

건물용도명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
2024-04-06T21:54:48.768566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5
Min length4

Characters and Unicode

Total characters10
Distinct characters8
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 row근린생활시설
2nd row판매시설
ValueCountFrequency (%)
근린생활시설 1
50.0%
판매시설 1
50.0%
2024-04-06T21:54:49.379348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 2
20.0%
설 2
20.0%
근 1
10.0%
린 1
10.0%
생 1
10.0%
활 1
10.0%
판 1
10.0%
매 1
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2
20.0%
설 2
20.0%
근 1
10.0%
린 1
10.0%
생 1
10.0%
활 1
10.0%
판 1
10.0%
매 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2
20.0%
설 2
20.0%
근 1
10.0%
린 1
10.0%
생 1
10.0%
활 1
10.0%
판 1
10.0%
매 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 2
20.0%
설 2
20.0%
근 1
10.0%
린 1
10.0%
생 1
10.0%
활 1
10.0%
판 1
10.0%
매 1
10.0%

통로너비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

조명시설조도
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

노래방실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

청소년실수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

총게임기수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지역구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing29
Missing (%)96.7%
Memory size372.0 B
2024-04-06T21:54:49.649652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row근린상업지역
ValueCountFrequency (%)
근린상업지역 1
100.0%
2024-04-06T21:54:50.169285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
상 1
16.7%
업 1
16.7%
지 1
16.7%
역 1
16.7%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03120000CDFF22411220030000012003-12-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120-709서울특별시 서대문구 충정로*가 ***번지 케이원리트빌딩 **~**층서울특별시 서대문구 충정로 ** (충정로*가,케이원리트빌딩 **~**층)<NA>와이더댄(주)2024-01-02 10:57:48D2023-12-01 00:04:00.0<NA>196796.370143451083.203253<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
13120000CDFF224112200500000120050118<NA>3폐업3폐업20160819<NA><NA><NA><NA><NA>120834서울특별시 서대문구 창천동 **-**번지서울특별시 서대문구 명물길 ** (창천동)<NA>(주)안다미로엔터2016-08-19 15:34:42I2018-08-31 23:59:59.0<NA>194461.185476450665.596224게임물배급업유통관련업<NA><NA>게임물<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23120000CDFF224112200500000220051111<NA>3폐업3폐업20120305<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 ***-***번지 대농빌딩***서울특별시 서대문구 홍제천로 *** (연희동,대농빌딩***)<NA>대동상사2012-03-06 08:45:36I2018-08-31 23:59:59.0<NA>194077.849334452928.832674게임물배급업유통관련업<NA><NA>게임물11.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
33120000CDFF224112200700000120071122<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>120709서울특별시 서대문구 충정로*가 ***번지 케이원리트빌딩 **층~**층서울특별시 서대문구 충정로 ** (충정로*가,케이원리트빌딩 **층~**층)<NA>리얼네트웍스 아시아퍼시픽 주식회사2008-01-31 13:15:09I2018-08-31 23:59:59.0<NA>196796.370143451083.203253게임물배급업유통관련업<NA><NA>엄지족타자왕외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43120000CDFF224112200700000220071130<NA>3폐업3폐업20191231<NA><NA><NA><NA><NA>120140서울특별시 서대문구 신촌동 ***번지 연세대학교공학원서울특별시 서대문구 연세로 ** (신촌동,연세대학교공학원)<NA>(주)지앤씨인터렉티브2019-12-31 10:00:28U2020-01-02 02:40:00.0<NA>194584.959249451381.585492게임물배급업유통관련업<NA><NA>갓오브워외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
53120000CDFF224112200800000120080602<NA>4취소/말소/만료/정지/중지35직권말소20191127<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 충정로*가 *** 충정리시온*층 제***,***호<NA><NA>글로벌소프트2019-12-09 15:24:30U2019-12-11 02:40:00.0<NA><NA><NA>게임물배급업유통관련업1<NA>게임 프로그램 배급20.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63120000CDFF224112200900000120090107<NA>4취소/말소/만료/정지/중지35직권말소20191127<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 **-**번지 *층서울특별시 서대문구 연희로 *** (연희동,*층)<NA>이젠 소프트2019-12-09 15:13:02U2019-12-11 02:40:00.0<NA>194255.341892452277.675204게임물배급업유통관련업1<NA>각종 아케이드, 콘솔, 온라인게임20.01<NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73120000CDFF224112200900000220090211<NA>4취소/말소/만료/정지/중지35직권말소20191127<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 ***-*번지 *층서울특별시 서대문구 신촌로 * (창천동,*층)<NA>호서전자2019-12-09 15:13:48U2019-12-11 02:40:00.0<NA>193512.063539450729.65904게임물배급업유통관련업1<NA>게임기20.01<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
83120000CDFF224112200900000320091009<NA>4취소/말소/만료/정지/중지35직권말소20191127<NA><NA><NA>312-7763<NA><NA>서울특별시 서대문구 합동 ***번지 지하 ***- **호서울특별시 서대문구 서소문로 **, **호 (합동,지하 ***-)<NA>유진통상2019-12-09 15:15:39U2019-12-11 02:40:00.0<NA>196945.454641451003.162676게임물배급업유통관련업<NA><NA>온라인게임,pc게임15.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93120000CDFF224112201000000120100401<NA>4취소/말소/만료/정지/중지35직권말소20191127<NA><NA><NA>394-7713<NA><NA>서울특별시 서대문구 홍은동 **-***번지서울특별시 서대문구 홍은중앙로*길 ** (홍은동)<NA>아이템 맵2019-12-09 15:25:53U2019-12-11 02:40:00.0<NA>195365.105574455495.974784게임물배급업유통관련업<NA><NA>온라인게임, PC게임79.11<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
203120000CDFF224112201600000120160512<NA>3폐업3폐업20210318<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동서울특별시 서대문구 연희로**자길 **-**, ***호 (연희동, 우민아파트)3701(주)하마게임즈2021-03-18 13:38:25U2021-03-20 02:40:00.0<NA>193475.689665452239.291402게임물배급업유통관련업<NA><NA>스마트폰게임92.94<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213120000CDFF224112201600000220161010<NA>3폐업3폐업20201111<NA><NA><NA>02)458-1411<NA><NA>서울특별시 서대문구 합동 ***서울특별시 서대문구 서소문로 **, 지층 ***호 (합동, 충정로대우디오빌)3741(주)엔팩트2020-11-11 17:04:50U2020-11-13 02:40:00.0<NA>196892.092369450948.915518게임물배급업유통관련업<NA><NA>모바일 게임19.8<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
223120000CDFF224112201700000220170502<NA>3폐업3폐업20211230<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 ***-**서울특별시 서대문구 연희로 **, *층 (연희동)3725주식회사 게임게이트2021-12-30 10:56:57U2022-01-01 02:40:00.0<NA>193834.949393451596.559001게임물배급업유통관련업<NA><NA>온라인 게임7.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
233120000CDFF224112201800000120180912<NA>1영업/정상13영업중<NA><NA><NA><NA>023932574<NA><NA>서울특별시 서대문구 북아현동 ***-*번지서울특별시 서대문구 북아현로 ***, *층 (북아현동)3761(주)프롬더레드2020-05-04 09:01:40U2020-05-06 02:40:00.0<NA>195666.451641451394.022868게임물배급업유통관련업<NA><NA>온라인,모바일게임 SW개발69.13<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
243120000CDFF224112201900000120190315<NA>4취소/말소/만료/정지/중지35직권말소20191127<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 창천동 **-**번지서울특별시 서대문구 연세로*다길 **, *층 ***호 (창천동)3787스튜디오 유완2019-12-09 15:22:42U2019-12-11 02:40:00.0<NA>194033.037823450514.653917게임물배급업유통관련업<NA><NA>게임 소프트웨어10.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
253120000CDFF224112201900000220190510<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 ***-**번지 남강빌딩서울특별시 서대문구 연희맛로 **, 남강빌딩 *층 (연희동)3708혀니별2019-05-10 16:52:34I2019-05-12 02:20:43.0<NA>193825.140959451724.520782게임물배급업유통관련업<NA><NA>게임기인형155.23<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
263120000CDFF224112201900000320190813<NA>3폐업3폐업20220106<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 대현동 ***-** 신촌자이엘라서울특별시 서대문구 신촌로 ***, 신촌자이엘라 ****호 (대현동)3780위클리챌린지2022-01-06 10:10:54U2022-01-08 02:40:00.0<NA>194849.138479450512.155519게임물배급업유통관련업<NA><NA>웹캐주얼게임22.16<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
273120000CDFF22411220220000012022-07-19<NA>1영업/정상13영업중<NA><NA><NA><NA>070-4179-6560<NA><NA>서울특별시 서대문구 창천동 ***-* *층 ***호서울특별시 서대문구 신촌로 **, *층 ***호 (창천동)3785(주)위드블랙2023-10-10 10:36:20U2022-10-30 23:02:00.0<NA>193712.476984450637.010875<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
283120000CDFF22411220230000012023-03-23<NA>3폐업3폐업2023-08-31<NA><NA><NA>070-8287-3474<NA><NA>서울특별시 서대문구 창천동 *-** MJ빌딩 *층서울특별시 서대문구 연세로**길 **, MJ빌딩 *층 (창천동)3776퍼니록스 엔터테인먼트2023-08-31 11:24:52U2022-12-09 00:02:00.0<NA>194518.269764450743.332695<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
293120000CDFF22411220230000022023-05-08<NA>5제외/삭제/전출15전출2023-09-20<NA><NA><NA>070-8287-3474<NA><NA>서울특별시 서대문구 창천동 *-** MJ빌딩 *층서울특별시 서대문구 연세로**길 **, MJ빌딩 *층 (창천동)3776주식회사 퍼니록스2023-09-20 15:45:54U2022-12-08 22:02:00.0<NA>194518.269764450743.332695<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>