Overview

Dataset statistics

Number of variables56
Number of observations62
Missing cells1735
Missing cells (%)50.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.6 KiB
Average record size in memory489.1 B

Variable types

Categorical16
Text8
DateTime4
Unsupported24
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-16703/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
건물용도명 has constant value ""Constant
총층수 is highly imbalanced (58.8%)Imbalance
지상층수 is highly imbalanced (60.0%)Imbalance
지하층수 is highly imbalanced (65.0%)Imbalance
통로너비 is highly imbalanced (72.0%)Imbalance
조명시설조도 is highly imbalanced (72.0%)Imbalance
노래방실수 is highly imbalanced (72.0%)Imbalance
청소년실수 is highly imbalanced (72.0%)Imbalance
총게임기수 is highly imbalanced (72.0%)Imbalance
인허가취소일자 has 62 (100.0%) missing valuesMissing
폐업일자 has 24 (38.7%) missing valuesMissing
휴업시작일자 has 62 (100.0%) missing valuesMissing
휴업종료일자 has 62 (100.0%) missing valuesMissing
재개업일자 has 62 (100.0%) missing valuesMissing
전화번호 has 45 (72.6%) missing valuesMissing
소재지면적 has 62 (100.0%) missing valuesMissing
소재지우편번호 has 55 (88.7%) missing valuesMissing
도로명주소 has 5 (8.1%) missing valuesMissing
도로명우편번호 has 24 (38.7%) missing valuesMissing
업태구분명 has 62 (100.0%) missing valuesMissing
좌표정보(X) has 3 (4.8%) missing valuesMissing
좌표정보(Y) has 3 (4.8%) missing valuesMissing
주변환경명 has 62 (100.0%) missing valuesMissing
제작취급품목내용 has 12 (19.4%) missing valuesMissing
시설면적 has 16 (25.8%) missing valuesMissing
건물용도명 has 60 (96.8%) missing valuesMissing
비상계단여부 has 62 (100.0%) missing valuesMissing
비상구여부 has 62 (100.0%) missing valuesMissing
자동환기여부 has 62 (100.0%) missing valuesMissing
청소년실여부 has 62 (100.0%) missing valuesMissing
특수조명여부 has 62 (100.0%) missing valuesMissing
방음시설여부 has 62 (100.0%) missing valuesMissing
비디오재생기명 has 62 (100.0%) missing valuesMissing
조명시설유무 has 62 (100.0%) missing valuesMissing
음향시설여부 has 62 (100.0%) missing valuesMissing
편의시설여부 has 62 (100.0%) missing valuesMissing
소방시설여부 has 62 (100.0%) missing valuesMissing
기존게임업외업종명 has 62 (100.0%) missing valuesMissing
제공게임물명 has 62 (100.0%) missing valuesMissing
공연장형태구분명 has 62 (100.0%) missing valuesMissing
품목명 has 62 (100.0%) missing valuesMissing
최초등록시점 has 62 (100.0%) missing valuesMissing
지역구분명 has 62 (100.0%) missing valuesMissing
관리번호 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
주변환경명 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
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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설면적 has 1 (1.6%) zerosZeros

Reproduction

Analysis started2024-05-11 03:31:02.710523
Analysis finished2024-05-11 03:31:04.569930
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size628.0 B
3120000
62 

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 62
100.0%

Length

2024-05-11T03:31:04.894312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:05.195644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3120000 62
100.0%

관리번호
Text

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T03:31:05.864548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1240
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

Unique62 ?
Unique (%)100.0%

Sample

1st rowCDFF2241082003000001
2nd rowCDFF2241082004000001
3rd rowCDFF2241082006000001
4th rowCDFF2241082007000001
5th rowCDFF2241082007000003
ValueCountFrequency (%)
cdff2241082003000001 1
 
1.6%
cdff2241082018000003 1
 
1.6%
cdff2241082023000002 1
 
1.6%
cdff2241082014000001 1
 
1.6%
cdff2241082015000001 1
 
1.6%
cdff2241082015000002 1
 
1.6%
cdff2241082015000003 1
 
1.6%
cdff2241082016000002 1
 
1.6%
cdff2241082016000003 1
 
1.6%
cdff2241082016000004 1
 
1.6%
Other values (52) 52
83.9%
2024-05-11T03:31:07.185845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 459
37.0%
2 221
17.8%
F 124
 
10.0%
1 114
 
9.2%
4 73
 
5.9%
8 70
 
5.6%
C 62
 
5.0%
D 62
 
5.0%
3 13
 
1.0%
9 12
 
1.0%
Other values (3) 30
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 992
80.0%
Uppercase Letter 248
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 459
46.3%
2 221
22.3%
1 114
 
11.5%
4 73
 
7.4%
8 70
 
7.1%
3 13
 
1.3%
9 12
 
1.2%
7 12
 
1.2%
6 9
 
0.9%
5 9
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
F 124
50.0%
C 62
25.0%
D 62
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 992
80.0%
Latin 248
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 459
46.3%
2 221
22.3%
1 114
 
11.5%
4 73
 
7.4%
8 70
 
7.1%
3 13
 
1.3%
9 12
 
1.2%
7 12
 
1.2%
6 9
 
0.9%
5 9
 
0.9%
Latin
ValueCountFrequency (%)
F 124
50.0%
C 62
25.0%
D 62
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 459
37.0%
2 221
17.8%
F 124
 
10.0%
1 114
 
9.2%
4 73
 
5.9%
8 70
 
5.6%
C 62
 
5.0%
D 62
 
5.0%
3 13
 
1.0%
9 12
 
1.0%
Other values (3) 30
 
2.4%

인허가일자
Date

Distinct61
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2003-12-10 00:00:00
Maximum2024-03-11 00:00:00
2024-05-11T03:31:07.772618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:31:08.397431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

영업상태코드
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
1
24 
4
18 
3
17 
5
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
1 24
38.7%
4 18
29.0%
3 17
27.4%
5 3
 
4.8%

Length

2024-05-11T03:31:09.024794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:09.485081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 24
38.7%
4 18
29.0%
3 17
27.4%
5 3
 
4.8%

영업상태명
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
영업/정상
24 
취소/말소/만료/정지/중지
18 
폐업
17 
제외/삭제/전출
3 

Length

Max length14
Median length8
Mean length6.9354839
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 24
38.7%
취소/말소/만료/정지/중지 18
29.0%
폐업 17
27.4%
제외/삭제/전출 3
 
4.8%

Length

2024-05-11T03:31:09.917633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:10.454890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 24
38.7%
취소/말소/만료/정지/중지 18
29.0%
폐업 17
27.4%
제외/삭제/전출 3
 
4.8%

상세영업상태코드
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
13
24 
35
18 
3
17 
15
3 

Length

Max length2
Median length2
Mean length1.7258065
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row35
4th row35
5th row35

Common Values

ValueCountFrequency (%)
13 24
38.7%
35 18
29.0%
3 17
27.4%
15 3
 
4.8%

Length

2024-05-11T03:31:11.038835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:11.494273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 24
38.7%
35 18
29.0%
3 17
27.4%
15 3
 
4.8%

상세영업상태명
Categorical

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
영업중
24 
직권말소
18 
폐업
17 
전출
3 

Length

Max length4
Median length3
Mean length2.9677419
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 24
38.7%
직권말소 18
29.0%
폐업 17
27.4%
전출 3
 
4.8%

Length

2024-05-11T03:31:12.070753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:12.813303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 24
38.7%
직권말소 18
29.0%
폐업 17
27.4%
전출 3
 
4.8%

폐업일자
Date

MISSING 

Distinct20
Distinct (%)52.6%
Missing24
Missing (%)38.7%
Memory size628.0 B
Minimum2013-03-04 00:00:00
Maximum2024-01-23 00:00:00
2024-05-11T03:31:13.421127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:31:13.889856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

전화번호
Text

MISSING 

Distinct16
Distinct (%)94.1%
Missing45
Missing (%)72.6%
Memory size628.0 B
2024-05-11T03:31:14.469572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length10.529412
Min length8

Characters and Unicode

Total characters179
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

Unique15 ?
Unique (%)88.2%

Sample

1st row323-7228
2nd row02-312-7763
3rd row376-7674
4th row373-5221
5th row363-4783
ValueCountFrequency (%)
070-8287-3474 2
 
11.8%
070-5111-1278 1
 
5.9%
023648777 1
 
5.9%
070-4179-6560 1
 
5.9%
023932574 1
 
5.9%
07040358885 1
 
5.9%
02-305-1404 1
 
5.9%
02-313-1455 1
 
5.9%
323-7228 1
 
5.9%
02-532-0685 1
 
5.9%
Other values (6) 6
35.3%
2024-05-11T03:31:15.491092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 27
15.1%
0 26
14.5%
- 23
12.8%
2 20
11.2%
3 20
11.2%
1 15
8.4%
8 13
7.3%
4 13
7.3%
5 11
6.1%
6 9
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 156
87.2%
Dash Punctuation 23
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 27
17.3%
0 26
16.7%
2 20
12.8%
3 20
12.8%
1 15
9.6%
8 13
8.3%
4 13
8.3%
5 11
7.1%
6 9
 
5.8%
9 2
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 179
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 27
15.1%
0 26
14.5%
- 23
12.8%
2 20
11.2%
3 20
11.2%
1 15
8.4%
8 13
7.3%
4 13
7.3%
5 11
6.1%
6 9
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 179
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 27
15.1%
0 26
14.5%
- 23
12.8%
2 20
11.2%
3 20
11.2%
1 15
8.4%
8 13
7.3%
4 13
7.3%
5 11
6.1%
6 9
 
5.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소재지우편번호
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing55
Missing (%)88.7%
Memory size628.0 B
2024-05-11T03:31:16.009599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.1428571
Min length6

Characters and Unicode

Total characters43
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

Unique7 ?
Unique (%)100.0%

Sample

1st row120-709
2nd row135949
3rd row120809
4th row120709
5th row120140
ValueCountFrequency (%)
120-709 1
14.3%
135949 1
14.3%
120809 1
14.3%
120709 1
14.3%
120140 1
14.3%
120830 1
14.3%
120863 1
14.3%
2024-05-11T03:31:16.672090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11
25.6%
1 8
18.6%
2 6
14.0%
9 5
11.6%
3 3
 
7.0%
8 3
 
7.0%
7 2
 
4.7%
4 2
 
4.7%
- 1
 
2.3%
5 1
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42
97.7%
Dash Punctuation 1
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11
26.2%
1 8
19.0%
2 6
14.3%
9 5
11.9%
3 3
 
7.1%
8 3
 
7.1%
7 2
 
4.8%
4 2
 
4.8%
5 1
 
2.4%
6 1
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 43
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11
25.6%
1 8
18.6%
2 6
14.0%
9 5
11.6%
3 3
 
7.0%
8 3
 
7.0%
7 2
 
4.7%
4 2
 
4.7%
- 1
 
2.3%
5 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 43
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11
25.6%
1 8
18.6%
2 6
14.0%
9 5
11.6%
3 3
 
7.0%
8 3
 
7.0%
7 2
 
4.7%
4 2
 
4.7%
- 1
 
2.3%
5 1
 
2.3%

지번주소
Text

Distinct58
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T03:31:17.065565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length27.887097
Min length15

Characters and Unicode

Total characters1729
Distinct characters91
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)87.1%

Sample

1st row서울특별시 서대문구 충정로*가 ***번지 케이원리트빌딩 **~**층
2nd row서울특별시 강남구 청담동 **-**번지
3rd row서울특별시 서대문구 북아현동 ***번지
4th row서울특별시 서대문구 홍제동 ***-**번지
5th row서울특별시 서대문구 영천동 ***번지 삼호아파트 ***동 ***호
ValueCountFrequency (%)
서울특별시 62
19.7%
서대문구 61
19.4%
번지 40
12.7%
19
 
6.0%
호 15
 
4.8%
연희동 10
 
3.2%
층 9
 
2.9%
신촌동 8
 
2.5%
창천동 6
 
1.9%
홍은동 6
 
1.9%
Other values (47) 79
25.1%
2024-05-11T03:31:17.963199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 333
19.3%
294
17.0%
서 123
 
7.1%
대 78
 
4.5%
동 64
 
3.7%
시 63
 
3.6%
특 62
 
3.6%
별 62
 
3.6%
구 62
 
3.6%
울 62
 
3.6%
Other values (81) 526
30.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1042
60.3%
Other Punctuation 334
 
19.3%
Space Separator 294
 
17.0%
Dash Punctuation 43
 
2.5%
Uppercase Letter 6
 
0.3%
Decimal Number 4
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 123
 
11.8%
대 78
 
7.5%
동 64
 
6.1%
시 63
 
6.0%
특 62
 
6.0%
별 62
 
6.0%
구 62
 
6.0%
울 62
 
6.0%
문 61
 
5.9%
지 47
 
4.5%
Other values (67) 358
34.4%
Uppercase Letter
ValueCountFrequency (%)
J 2
33.3%
M 2
33.3%
B 1
16.7%
C 1
16.7%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
6 1
25.0%
2 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 333
99.7%
, 1
 
0.3%
Space Separator
ValueCountFrequency (%)
294
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1042
60.3%
Common 681
39.4%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 123
 
11.8%
대 78
 
7.5%
동 64
 
6.1%
시 63
 
6.0%
특 62
 
6.0%
별 62
 
6.0%
구 62
 
6.0%
울 62
 
6.0%
문 61
 
5.9%
지 47
 
4.5%
Other values (67) 358
34.4%
Common
ValueCountFrequency (%)
* 333
48.9%
294
43.2%
- 43
 
6.3%
( 2
 
0.3%
) 2
 
0.3%
4 2
 
0.3%
~ 2
 
0.3%
6 1
 
0.1%
, 1
 
0.1%
2 1
 
0.1%
Latin
ValueCountFrequency (%)
J 2
33.3%
M 2
33.3%
B 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1042
60.3%
ASCII 687
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 333
48.5%
294
42.8%
- 43
 
6.3%
( 2
 
0.3%
) 2
 
0.3%
J 2
 
0.3%
4 2
 
0.3%
M 2
 
0.3%
~ 2
 
0.3%
B 1
 
0.1%
Other values (4) 4
 
0.6%
Hangul
ValueCountFrequency (%)
서 123
 
11.8%
대 78
 
7.5%
동 64
 
6.1%
시 63
 
6.0%
특 62
 
6.0%
별 62
 
6.0%
구 62
 
6.0%
울 62
 
6.0%
문 61
 
5.9%
지 47
 
4.5%
Other values (67) 358
34.4%

도로명주소
Text

MISSING 

Distinct54
Distinct (%)94.7%
Missing5
Missing (%)8.1%
Memory size628.0 B
2024-05-11T03:31:18.528837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length35.175439
Min length23

Characters and Unicode

Total characters2005
Distinct characters122
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

Unique51 ?
Unique (%)89.5%

Sample

1st row서울특별시 서대문구 충정로 ** (충정로*가,케이원리트빌딩 **~**층)
2nd row서울특별시 강남구 도산대로**길 ** (청담동)
3rd row서울특별시 서대문구 북아현로*사길 ** (북아현동)
4th row서울특별시 서대문구 홍제원*길 ** (홍제동)
5th row서울특별시 서대문구 신촌로 *** (대현동,은하빌딩 ***-**)
ValueCountFrequency (%)
58
15.7%
서울특별시 57
15.4%
서대문구 56
15.2%
호 27
 
7.3%
층 17
 
4.6%
연세로 8
 
2.2%
북아현동 5
 
1.4%
창천동 5
 
1.4%
연희동 5
 
1.4%
신촌동 5
 
1.4%
Other values (82) 126
34.1%
2024-05-11T03:31:19.398144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
321
 
16.0%
* 315
 
15.7%
서 119
 
5.9%
대 79
 
3.9%
동 62
 
3.1%
문 61
 
3.0%
, 61
 
3.0%
) 58
 
2.9%
울 58
 
2.9%
( 58
 
2.9%
Other values (112) 813
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1167
58.2%
Other Punctuation 376
 
18.8%
Space Separator 321
 
16.0%
Close Punctuation 58
 
2.9%
Open Punctuation 58
 
2.9%
Dash Punctuation 11
 
0.5%
Uppercase Letter 7
 
0.3%
Decimal Number 5
 
0.2%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 119
 
10.2%
대 79
 
6.8%
동 62
 
5.3%
문 61
 
5.2%
울 58
 
5.0%
별 57
 
4.9%
특 57
 
4.9%
구 57
 
4.9%
시 57
 
4.9%
로 50
 
4.3%
Other values (95) 510
43.7%
Uppercase Letter
ValueCountFrequency (%)
J 2
28.6%
M 2
28.6%
C 1
14.3%
B 1
14.3%
A 1
14.3%
Decimal Number
ValueCountFrequency (%)
1 1
20.0%
0 1
20.0%
2 1
20.0%
3 1
20.0%
6 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 315
83.8%
, 61
 
16.2%
Space Separator
ValueCountFrequency (%)
321
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1167
58.2%
Common 831
41.4%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 119
 
10.2%
대 79
 
6.8%
동 62
 
5.3%
문 61
 
5.2%
울 58
 
5.0%
별 57
 
4.9%
특 57
 
4.9%
구 57
 
4.9%
시 57
 
4.9%
로 50
 
4.3%
Other values (95) 510
43.7%
Common
ValueCountFrequency (%)
321
38.6%
* 315
37.9%
, 61
 
7.3%
) 58
 
7.0%
( 58
 
7.0%
- 11
 
1.3%
~ 2
 
0.2%
1 1
 
0.1%
0 1
 
0.1%
2 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
J 2
28.6%
M 2
28.6%
C 1
14.3%
B 1
14.3%
A 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1167
58.2%
ASCII 838
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
321
38.3%
* 315
37.6%
, 61
 
7.3%
) 58
 
6.9%
( 58
 
6.9%
- 11
 
1.3%
J 2
 
0.2%
~ 2
 
0.2%
M 2
 
0.2%
1 1
 
0.1%
Other values (7) 7
 
0.8%
Hangul
ValueCountFrequency (%)
서 119
 
10.2%
대 79
 
6.8%
동 62
 
5.3%
문 61
 
5.2%
울 58
 
5.0%
별 57
 
4.9%
특 57
 
4.9%
구 57
 
4.9%
시 57
 
4.9%
로 50
 
4.3%
Other values (95) 510
43.7%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)76.3%
Missing24
Missing (%)38.7%
Infinite0
Infinite (%)0.0%
Mean6794.1579
Minimum3605
Maximum120749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T03:31:19.874568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3605
5-th percentile3611.1
Q13671.25
median3722
Q33766
95-th percentile3787
Maximum120749
Range117144
Interquartile range (IQR)94.75

Descriptive statistics

Standard deviation18985.617
Coefficient of variation (CV)2.7944033
Kurtosis37.999292
Mean6794.1579
Median Absolute Deviation (MAD)44.5
Skewness6.16433
Sum258178
Variance3.6045367 × 108
MonotonicityNot monotonic
2024-05-11T03:31:20.557597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3722 4
 
6.5%
3766 2
 
3.2%
3761 2
 
3.2%
3701 2
 
3.2%
3787 2
 
3.2%
3741 2
 
3.2%
3776 2
 
3.2%
3773 1
 
1.6%
3785 1
 
1.6%
3606 1
 
1.6%
Other values (19) 19
30.6%
(Missing) 24
38.7%
ValueCountFrequency (%)
3605 1
1.6%
3606 1
1.6%
3612 1
1.6%
3626 1
1.6%
3630 1
1.6%
3631 1
1.6%
3659 1
1.6%
3661 1
1.6%
3667 1
1.6%
3668 1
1.6%
ValueCountFrequency (%)
120749 1
1.6%
3787 2
3.2%
3785 1
1.6%
3780 1
1.6%
3776 2
3.2%
3773 1
1.6%
3767 1
1.6%
3766 2
3.2%
3761 2
3.2%
3748 1
1.6%

사업장명
Text

Distinct60
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
2024-05-11T03:31:21.059853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length14
Mean length7.4193548
Min length2

Characters and Unicode

Total characters460
Distinct characters165
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

Unique58 ?
Unique (%)93.5%

Sample

1st row와이더댄(주)
2nd row지-트랙
3rd row겜블러솔루션
4th row로직
5th row만사성
ValueCountFrequency (%)
주식회사 6
 
7.4%
스튜디오 3
 
3.7%
로직 2
 
2.5%
퍼니록스 2
 
2.5%
주)스윙크 2
 
2.5%
주)위드블랙 1
 
1.2%
게임게이트 1
 
1.2%
월드소프트 1
 
1.2%
자밥스튜디오 1
 
1.2%
마리모리 1
 
1.2%
Other values (61) 61
75.3%
2024-05-11T03:31:22.163975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 26
 
5.7%
( 19
 
4.1%
) 19
 
4.1%
19
 
4.1%
스 15
 
3.3%
이 12
 
2.6%
리 10
 
2.2%
트 9
 
2.0%
디 8
 
1.7%
사 8
 
1.7%
Other values (155) 315
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
73.7%
Lowercase Letter 33
 
7.2%
Uppercase Letter 22
 
4.8%
Open Punctuation 19
 
4.1%
Close Punctuation 19
 
4.1%
Space Separator 19
 
4.1%
Decimal Number 6
 
1.3%
Other Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
7.7%
스 15
 
4.4%
이 12
 
3.5%
리 10
 
2.9%
트 9
 
2.7%
디 8
 
2.4%
사 8
 
2.4%
회 7
 
2.1%
식 7
 
2.1%
지 6
 
1.8%
Other values (117) 231
68.1%
Uppercase Letter
ValueCountFrequency (%)
E 3
13.6%
A 3
13.6%
M 2
 
9.1%
G 2
 
9.1%
T 2
 
9.1%
I 1
 
4.5%
P 1
 
4.5%
Y 1
 
4.5%
O 1
 
4.5%
S 1
 
4.5%
Other values (5) 5
22.7%
Lowercase Letter
ValueCountFrequency (%)
n 7
21.2%
t 5
15.2%
o 4
12.1%
i 4
12.1%
a 3
9.1%
e 3
9.1%
m 2
 
6.1%
v 1
 
3.0%
l 1
 
3.0%
h 1
 
3.0%
Other values (2) 2
 
6.1%
Decimal Number
ValueCountFrequency (%)
2 1
16.7%
4 1
16.7%
3 1
16.7%
8 1
16.7%
0 1
16.7%
6 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
73.7%
Common 66
 
14.3%
Latin 55
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
7.7%
스 15
 
4.4%
이 12
 
3.5%
리 10
 
2.9%
트 9
 
2.7%
디 8
 
2.4%
사 8
 
2.4%
회 7
 
2.1%
식 7
 
2.1%
지 6
 
1.8%
Other values (117) 231
68.1%
Latin
ValueCountFrequency (%)
n 7
 
12.7%
t 5
 
9.1%
o 4
 
7.3%
i 4
 
7.3%
E 3
 
5.5%
a 3
 
5.5%
e 3
 
5.5%
A 3
 
5.5%
m 2
 
3.6%
M 2
 
3.6%
Other values (17) 19
34.5%
Common
ValueCountFrequency (%)
( 19
28.8%
) 19
28.8%
19
28.8%
. 2
 
3.0%
2 1
 
1.5%
4 1
 
1.5%
3 1
 
1.5%
8 1
 
1.5%
0 1
 
1.5%
6 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
73.7%
ASCII 121
 
26.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 26
 
7.7%
스 15
 
4.4%
이 12
 
3.5%
리 10
 
2.9%
트 9
 
2.7%
디 8
 
2.4%
사 8
 
2.4%
회 7
 
2.1%
식 7
 
2.1%
지 6
 
1.8%
Other values (117) 231
68.1%
ASCII
ValueCountFrequency (%)
( 19
15.7%
) 19
15.7%
19
15.7%
n 7
 
5.8%
t 5
 
4.1%
o 4
 
3.3%
i 4
 
3.3%
E 3
 
2.5%
a 3
 
2.5%
e 3
 
2.5%
Other values (28) 35
28.9%

최종수정일자
Date

UNIQUE 

Distinct62
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2007-01-12 08:54:43
Maximum2024-03-11 10:32:35
2024-05-11T03:31:22.592069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:31:23.028997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
U
40 
I
20 
D
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 40
64.5%
I 20
32.3%
D 2
 
3.2%

Length

2024-05-11T03:31:23.417189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:23.698876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 40
64.5%
i 20
32.3%
d 2
 
3.2%

데이터갱신일자
Date

Distinct30
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size628.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-02 23:03:00
2024-05-11T03:31:23.893714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T03:31:24.124713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)78.0%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean194842.84
Minimum191724.85
Maximum203832.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T03:31:24.495663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum191724.85
5-th percentile192505.7
Q1193798.8
median194584.96
Q3195465.34
95-th percentile196897.43
Maximum203832.5
Range12107.648
Interquartile range (IQR)1666.5475

Descriptive statistics

Standard deviation1717.3714
Coefficient of variation (CV)0.0088141363
Kurtosis12.060191
Mean194842.84
Median Absolute Deviation (MAD)853.13829
Skewness2.377672
Sum11495728
Variance2949364.4
MonotonicityNot monotonic
2024-05-11T03:31:24.810414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
194584.959249312 8
 
12.9%
194083.979656964 2
 
3.2%
194518.269763524 2
 
3.2%
194033.03782295 2
 
3.2%
196892.09236853 2
 
3.2%
196945.454641052 2
 
3.2%
196796.370142665 2
 
3.2%
193623.327845233 1
 
1.6%
194849.138479032 1
 
1.6%
191891.020557009 1
 
1.6%
Other values (36) 36
58.1%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
191724.852026487 1
1.6%
191891.020557009 1
1.6%
192498.925199927 1
1.6%
192506.45698578 1
1.6%
193053.442044071 1
1.6%
193155.138843846 1
1.6%
193334.645572619 1
1.6%
193475.689664738 1
1.6%
193482.651031517 1
1.6%
193512.063538706 1
1.6%
ValueCountFrequency (%)
203832.500422017 1
1.6%
196945.454641052 2
3.2%
196892.09236853 2
3.2%
196796.370142665 2
3.2%
196381.929400632 1
1.6%
196259.607806599 1
1.6%
196032.794344858 1
1.6%
195852.155518007 1
1.6%
195686.910359144 1
1.6%
195666.45164087 1
1.6%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)78.0%
Missing3
Missing (%)4.8%
Infinite0
Infinite (%)0.0%
Mean451870.96
Minimum446700.35
Maximum455301.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T03:31:25.088913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum446700.35
5-th percentile450514.65
Q1450910.69
median451381.59
Q3452843.97
95-th percentile454807.07
Maximum455301.07
Range8600.7162
Interquartile range (IQR)1933.2834

Descriptive statistics

Standard deviation1501.178
Coefficient of variation (CV)0.0033221386
Kurtosis1.7088705
Mean451870.96
Median Absolute Deviation (MAD)671.29482
Skewness0.12147477
Sum26660386
Variance2253535.2
MonotonicityNot monotonic
2024-05-11T03:31:25.461125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
451381.585492051 8
 
12.9%
452856.865269503 2
 
3.2%
450743.332695162 2
 
3.2%
450514.653917441 2
 
3.2%
450948.915518467 2
 
3.2%
451003.162676008 2
 
3.2%
451083.20325335 2
 
3.2%
451017.199904039 1
 
1.6%
450512.155519127 1
 
1.6%
453017.96018226 1
 
1.6%
Other values (36) 36
58.1%
(Missing) 3
 
4.8%
ValueCountFrequency (%)
446700.354246256 1
1.6%
450512.155519127 1
1.6%
450514.653917441 2
3.2%
450529.307302535 1
1.6%
450637.010875398 1
1.6%
450652.212057734 1
1.6%
450669.006384815 1
1.6%
450710.290672566 1
1.6%
450722.275610717 1
1.6%
450729.152178966 1
1.6%
ValueCountFrequency (%)
455301.070489038 1
1.6%
455205.497721368 1
1.6%
454996.565408554 1
1.6%
454786.019433577 1
1.6%
454191.447092985 1
1.6%
454032.533385232 1
1.6%
453929.325030582 1
1.6%
453790.510147673 1
1.6%
453674.934419766 1
1.6%
453459.734840231 1
1.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
게임물제작업
51 
<NA>
11 

Length

Max length6
Median length6
Mean length5.6451613
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물제작업 51
82.3%
<NA> 11
 
17.7%

Length

2024-05-11T03:31:25.851599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:26.229569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물제작업 51
82.3%
na 11
 
17.7%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
유통관련업
51 
<NA>
11 

Length

Max length5
Median length5
Mean length4.8225806
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 51
82.3%
<NA> 11
 
17.7%

Length

2024-05-11T03:31:26.583129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:26.905563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 51
82.3%
na 11
 
17.7%

총층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
52 
1
7 
0
 
2
5
 
1

Length

Max length4
Median length4
Mean length3.516129
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 52
83.9%
1 7
 
11.3%
0 2
 
3.2%
5 1
 
1.6%

Length

2024-05-11T03:31:27.249917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:27.491580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 52
83.9%
1 7
 
11.3%
0 2
 
3.2%
5 1
 
1.6%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

제작취급품목내용
Text

MISSING 

Distinct40
Distinct (%)80.0%
Missing12
Missing (%)19.4%
Memory size628.0 B
2024-05-11T03:31:27.862057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length7.62
Min length2

Characters and Unicode

Total characters381
Distinct characters85
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

Unique36 ?
Unique (%)72.0%

Sample

1st row스마트폰용 게임제작
2nd row모바일게임
3rd row보드게임
4th row플래시게임
5th row엄지족타자왕외 20
ValueCountFrequency (%)
모바일게임 9
 
11.7%
게임 8
 
10.4%
모바일 4
 
5.2%
소프트웨어 3
 
3.9%
및 3
 
3.9%
아케이드 3
 
3.9%
게임물 3
 
3.9%
스마트폰게임 2
 
2.6%
온라인 2
 
2.6%
게임기 2
 
2.6%
Other values (37) 38
49.4%
2024-05-11T03:31:28.556662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 49
 
12.9%
임 49
 
12.9%
27
 
7.1%
일 19
 
5.0%
모 18
 
4.7%
바 18
 
4.7%
트 10
 
2.6%
, 8
 
2.1%
프 7
 
1.8%
어 7
 
1.8%
Other values (75) 169
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 327
85.8%
Space Separator 27
 
7.1%
Other Punctuation 9
 
2.4%
Uppercase Letter 8
 
2.1%
Open Punctuation 3
 
0.8%
Close Punctuation 3
 
0.8%
Lowercase Letter 2
 
0.5%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 49
 
15.0%
임 49
 
15.0%
일 19
 
5.8%
모 18
 
5.5%
바 18
 
5.5%
트 10
 
3.1%
프 7
 
2.1%
어 7
 
2.1%
이 7
 
2.1%
마 7
 
2.1%
Other values (61) 136
41.6%
Uppercase Letter
ValueCountFrequency (%)
R 3
37.5%
V 2
25.0%
C 1
 
12.5%
P 1
 
12.5%
A 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
/ 1
 
11.1%
Lowercase Letter
ValueCountFrequency (%)
p 1
50.0%
c 1
50.0%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 327
85.8%
Common 44
 
11.5%
Latin 10
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 49
 
15.0%
임 49
 
15.0%
일 19
 
5.8%
모 18
 
5.5%
바 18
 
5.5%
트 10
 
3.1%
프 7
 
2.1%
어 7
 
2.1%
이 7
 
2.1%
마 7
 
2.1%
Other values (61) 136
41.6%
Common
ValueCountFrequency (%)
27
61.4%
, 8
 
18.2%
( 3
 
6.8%
) 3
 
6.8%
/ 1
 
2.3%
0 1
 
2.3%
2 1
 
2.3%
Latin
ValueCountFrequency (%)
R 3
30.0%
V 2
20.0%
C 1
 
10.0%
p 1
 
10.0%
c 1
 
10.0%
P 1
 
10.0%
A 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 327
85.8%
ASCII 54
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 49
 
15.0%
임 49
 
15.0%
일 19
 
5.8%
모 18
 
5.5%
바 18
 
5.5%
트 10
 
3.1%
프 7
 
2.1%
어 7
 
2.1%
이 7
 
2.1%
마 7
 
2.1%
Other values (61) 136
41.6%
ASCII
ValueCountFrequency (%)
27
50.0%
, 8
 
14.8%
R 3
 
5.6%
( 3
 
5.6%
) 3
 
5.6%
V 2
 
3.7%
C 1
 
1.9%
p 1
 
1.9%
c 1
 
1.9%
/ 1
 
1.9%
Other values (4) 4
 
7.4%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)87.0%
Missing16
Missing (%)25.8%
Infinite0
Infinite (%)0.0%
Mean70.033261
Minimum0
Maximum411.57
Zeros1
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size690.0 B
2024-05-11T03:31:28.962664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.925
Q120
median49
Q368.325
95-th percentile211.2
Maximum411.57
Range411.57
Interquartile range (IQR)48.325

Descriptive statistics

Standard deviation83.309337
Coefficient of variation (CV)1.1895682
Kurtosis8.5905619
Mean70.033261
Median Absolute Deviation (MAD)29
Skewness2.7701061
Sum3221.53
Variance6940.4456
MonotonicityNot monotonic
2024-05-11T03:31:29.367473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
20.0 3
 
4.8%
10.0 2
 
3.2%
26.4 2
 
3.2%
45.0 2
 
3.2%
60.0 2
 
3.2%
59.85 1
 
1.6%
69.1 1
 
1.6%
21.0 1
 
1.6%
92.94 1
 
1.6%
103.76 1
 
1.6%
Other values (30) 30
48.4%
(Missing) 16
25.8%
ValueCountFrequency (%)
0.0 1
 
1.6%
7.0 1
 
1.6%
9.9 1
 
1.6%
10.0 2
3.2%
15.0 1
 
1.6%
16.5 1
 
1.6%
16.52 1
 
1.6%
19.1 1
 
1.6%
19.8 1
 
1.6%
20.0 3
4.8%
ValueCountFrequency (%)
411.57 1
1.6%
367.99 1
1.6%
226.6 1
1.6%
165.0 1
1.6%
135.54 1
1.6%
132.23 1
1.6%
130.56 1
1.6%
116.81 1
1.6%
103.76 1
1.6%
99.2 1
1.6%

지상층수
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
53 
1
 
4
0
 
4
7
 
1

Length

Max length4
Median length4
Mean length3.5645161
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 53
85.5%
1 4
 
6.5%
0 4
 
6.5%
7 1
 
1.6%

Length

2024-05-11T03:31:29.782952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:29.995402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 53
85.5%
1 4
 
6.5%
0 4
 
6.5%
7 1
 
1.6%

지하층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
56 
1
 
3
0
 
3

Length

Max length4
Median length4
Mean length3.7096774
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> 56
90.3%
1 3
 
4.8%
0 3
 
4.8%

Length

2024-05-11T03:31:30.226395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:30.452972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 56
90.3%
1 3
 
4.8%
0 3
 
4.8%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing60
Missing (%)96.8%
Memory size628.0 B
2024-05-11T03:31:30.730250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters12
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

Unique0 ?
Unique (%)0.0%

Sample

1st row근린생활시설
2nd row근린생활시설
ValueCountFrequency (%)
근린생활시설 2
100.0%
2024-05-11T03:31:31.448817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
근 2
16.7%
린 2
16.7%
생 2
16.7%
활 2
16.7%
시 2
16.7%
설 2
16.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
59 
0
 
3

Length

Max length4
Median length4
Mean length3.8548387
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> 59
95.2%
0 3
 
4.8%

Length

2024-05-11T03:31:31.878735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:32.167337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
95.2%
0 3
 
4.8%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
59 
0
 
3

Length

Max length4
Median length4
Mean length3.8548387
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> 59
95.2%
0 3
 
4.8%

Length

2024-05-11T03:31:32.520035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:32.816636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
95.2%
0 3
 
4.8%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
59 
0
 
3

Length

Max length4
Median length4
Mean length3.8548387
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> 59
95.2%
0 3
 
4.8%

Length

2024-05-11T03:31:33.025341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:33.227687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
95.2%
0 3
 
4.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
59 
0
 
3

Length

Max length4
Median length4
Mean length3.8548387
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> 59
95.2%
0 3
 
4.8%

Length

2024-05-11T03:31:33.550755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:33.766115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
95.2%
0 3
 
4.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size628.0 B
<NA>
59 
0
 
3

Length

Max length4
Median length4
Mean length3.8548387
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> 59
95.2%
0 3
 
4.8%

Length

2024-05-11T03:31:34.007624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:31:34.253681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 59
95.2%
0 3
 
4.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing62
Missing (%)100.0%
Memory size690.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03120000CDFF22410820030000012003-12-10<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 10:57:34D2023-12-01 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>
13120000CDFF224108200400000120040323<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>135949서울특별시 강남구 청담동 **-**번지서울특별시 강남구 도산대로**길 ** (청담동)<NA>지-트랙2007-01-12 08:54:43I2018-08-31 23:59:59.0<NA>203832.500422446700.354246게임물제작업유통관련업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23120000CDFF224108200600000120060501<NA>4취소/말소/만료/정지/중지35직권말소20191127<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북아현동 ***번지서울특별시 서대문구 북아현로*사길 ** (북아현동)<NA>겜블러솔루션2019-12-09 15:04:41U2019-12-11 02:40:00.0<NA>196381.929401450872.457631게임물제작업유통관련업<NA><NA>스마트폰용 게임제작60.0<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>
33120000CDFF224108200700000120070312<NA>4취소/말소/만료/정지/중지35직권말소20191127<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 ***-**번지서울특별시 서대문구 홍제원*길 ** (홍제동)<NA>로직2019-12-09 15:12:35U2019-12-11 02:40:00.0<NA>195414.804882453790.510148게임물제작업유통관련업<NA><NA>모바일게임65.0<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>
43120000CDFF224108200700000320070905<NA>4취소/말소/만료/정지/중지35직권말소20191127<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 영천동 ***번지 삼호아파트 ***동 ***호<NA><NA>만사성2019-12-09 15:09:46U2019-12-11 02:40:00.0<NA>196259.607807452003.400134게임물제작업유통관련업<NA><NA>보드게임50.0<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>
53120000CDFF224108200700000420071107<NA>3폐업3폐업20190417<NA><NA><NA><NA><NA>120809서울특별시 서대문구 대현동 ***-**번지 은하빌딩 ***-**서울특별시 서대문구 신촌로 *** (대현동,은하빌딩 ***-**)<NA>(주)이엔아이스튜디오2019-04-17 16:03:14U2019-04-19 02:40:00.0<NA>194770.272306450529.307303게임물제작업유통관련업<NA><NA>플래시게임<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63120000CDFF224108200700000520071122<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 13:14:40I2018-08-31 23:59:59.0<NA>196796.370143451083.203253게임물제작업유통관련업<NA><NA>엄지족타자왕외 20<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73120000CDFF224108200700000620071130<NA>3폐업3폐업20191231<NA><NA><NA><NA><NA>120140서울특별시 서대문구 신촌동 ***번지 연세대학교공학원서울특별시 서대문구 연세로 ** (신촌동,연세대학교공학원)<NA>(주)지앤씨인터렉티브2019-12-31 10:00:21U2020-01-02 02:40:00.0<NA>194584.959249451381.585492게임물제작업유통관련업<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>
83120000CDFF224108200700000720071224<NA>4취소/말소/만료/정지/중지35직권말소20191127<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍제동 ***-*번지 ***호서울특별시 서대문구 세무서*길 **-** (홍제동)3630로직2019-12-09 15:10:11U2019-12-11 02:40:00.0<NA>195238.715576454032.533385게임물제작업유통관련업<NA><NA>모바일게임0.0<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>
93120000CDFF224108200800000120080115<NA>4취소/말소/만료/정지/중지35직권말소20191127<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 합동 **-*번지 충정대우디오빌 ***호<NA><NA>주식회사 비주얼샤워2019-12-09 15:11:22U2019-12-11 02:40:00.0<NA><NA><NA>게임물제작업유통관련업<NA><NA>게임컨텐츠25.0<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>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
523120000CDFF224108202000000120200306<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 대현동 **-**번지서울특별시 서대문구 이화여대*길 **, ***호 (대현동)3766스튜디오 8062020-03-06 17:18:42I2020-03-08 00:23:22.0<NA>194960.929139450652.212058게임물제작업유통관련업<NA><NA>모바일게임33.0<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>
533120000CDFF224108202000000220200512<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북가좌동 ***-** 우정빌라서울특별시 서대문구 수색로*길 **, *층 ***호 (북가좌동, 우정빌라)3714주얼2021-09-08 15:30:12U2021-09-10 02:40:00.0<NA>191724.852026452717.511002게임물제작업유통관련업0<NA>모바일게임52.9300<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
543120000CDFF224108202200000120220124<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 홍은동 ***-* *스포츠아카데미서울특별시 서대문구 명지*길 **, *스포츠아카데미 *층 ***호 (홍은동)3659(주)다이브엑스알2022-01-24 11:22:40I2022-01-26 00:22:40.0<NA>193482.651032453459.73484게임물제작업유통관련업0<NA>모바일게임, VR/AR게임19.100<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
553120000CDFF22410820220000022022-07-19<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 13:47:13U2022-10-30 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>
563120000CDFF22410820220000032010-06-30<NA>1영업/정상13영업중<NA><NA><NA><NA>023648777<NA><NA>서울특별시 서대문구 신촌동 *** 연세대학교서울특별시 서대문구 연세로 **, 연세대학교 공학원 ***호 (신촌동)3722(주)스윙크2024-01-02 09:09:00D2023-12-01 00:04:00.0<NA>194584.959249451381.585492<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
573120000CDFF22410820220000042012-04-23<NA>5제외/삭제/전출15전출2024-01-23<NA><NA><NA><NA><NA><NA>서울특별시 서대문구 북아현동 **** 이편한세상신촌 ***동 ****호서울특별시 서대문구 북아현로*길 **, ***동 ****호 (북아현동, 이편한세상신촌)3773체리츠2024-01-23 10:12:12U2023-11-30 22:05:00.0<NA>195852.155518450669.006385<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
583120000CDFF224108202200000520221228<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 남가좌동 64-42서울특별시 서대문구 가재울로10길 23-6 (남가좌동)3692마리모리2022-12-28 13:15:06I2021-11-01 21:00:00.0<NA>193053.442044452707.317328<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
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613120000CDFF22410820240000012024-03-11<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 서대문구 연희동 ***-*** 지하*층서울특별시 서대문구 연희로**아길 **-**, 지하*층 (연희동)3701멜팅카라멜2024-03-11 10:32:35I2023-12-02 23:03:00.0<NA>193334.645573452024.188573<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>