Overview

Dataset statistics

Number of variables56
Number of observations52
Missing cells1411
Missing cells (%)48.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.8 KiB
Average record size in memory487.5 B

Variable types

Categorical18
Text9
DateTime4
Unsupported22
Numeric3

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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-16669/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
소재지우편번호 is highly imbalanced (76.5%)Imbalance
총층수 is highly imbalanced (76.6%)Imbalance
지상층수 is highly imbalanced (68.2%)Imbalance
지하층수 is highly imbalanced (68.2%)Imbalance
통로너비 is highly imbalanced (68.2%)Imbalance
조명시설조도 is highly imbalanced (68.2%)Imbalance
노래방실수 is highly imbalanced (68.2%)Imbalance
청소년실수 is highly imbalanced (68.2%)Imbalance
총게임기수 is highly imbalanced (68.2%)Imbalance
인허가취소일자 has 52 (100.0%) missing valuesMissing
폐업일자 has 42 (80.8%) missing valuesMissing
휴업시작일자 has 52 (100.0%) missing valuesMissing
휴업종료일자 has 52 (100.0%) missing valuesMissing
재개업일자 has 52 (100.0%) missing valuesMissing
전화번호 has 37 (71.2%) missing valuesMissing
소재지면적 has 52 (100.0%) missing valuesMissing
도로명주소 has 2 (3.8%) missing valuesMissing
업태구분명 has 52 (100.0%) missing valuesMissing
주변환경명 has 51 (98.1%) missing valuesMissing
제작취급품목내용 has 16 (30.8%) missing valuesMissing
시설면적 has 18 (34.6%) missing valuesMissing
건물용도명 has 51 (98.1%) missing valuesMissing
비상계단여부 has 52 (100.0%) missing valuesMissing
비상구여부 has 52 (100.0%) missing valuesMissing
자동환기여부 has 52 (100.0%) missing valuesMissing
청소년실여부 has 52 (100.0%) missing valuesMissing
특수조명여부 has 52 (100.0%) missing valuesMissing
방음시설여부 has 52 (100.0%) missing valuesMissing
비디오재생기명 has 52 (100.0%) missing valuesMissing
조명시설유무 has 52 (100.0%) missing valuesMissing
음향시설여부 has 52 (100.0%) missing valuesMissing
편의시설여부 has 52 (100.0%) missing valuesMissing
소방시설여부 has 52 (100.0%) missing valuesMissing
기존게임업외업종명 has 52 (100.0%) missing valuesMissing
제공게임물명 has 52 (100.0%) missing valuesMissing
공연장형태구분명 has 52 (100.0%) missing valuesMissing
품목명 has 52 (100.0%) missing valuesMissing
최초등록시점 has 52 (100.0%) missing valuesMissing
지역구분명 has 50 (96.2%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
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
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
시설면적 has 1 (1.9%) zerosZeros

Reproduction

Analysis started2024-05-11 05:34:45.967814
Analysis finished2024-05-11 05:34:47.022904
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
3030000
52 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3030000
2nd row3030000
3rd row3030000
4th row3030000
5th row3030000

Common Values

ValueCountFrequency (%)
3030000 52
100.0%

Length

2024-05-11T14:34:47.148051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:47.303690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 52
100.0%

관리번호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-05-11T14:34:47.594214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters1040
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st rowCDFF2241122001000001
2nd rowCDFF2241122001000002
3rd rowCDFF2241122006000001
4th rowCDFF2241122007000001
5th rowCDFF2241122009000001
ValueCountFrequency (%)
cdff2241122001000001 1
 
1.9%
cdff2241122001000002 1
 
1.9%
cdff2241122021000005 1
 
1.9%
cdff2241122020000002 1
 
1.9%
cdff2241122020000003 1
 
1.9%
cdff2241122020000004 1
 
1.9%
cdff2241122020000005 1
 
1.9%
cdff2241122020000006 1
 
1.9%
cdff2241122020000007 1
 
1.9%
cdff2241122021000001 1
 
1.9%
Other values (42) 42
80.8%
2024-05-11T14:34:48.219490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 327
31.4%
2 250
24.0%
1 154
14.8%
F 104
 
10.0%
4 60
 
5.8%
C 52
 
5.0%
D 52
 
5.0%
3 13
 
1.2%
7 8
 
0.8%
9 8
 
0.8%
Other values (3) 12
 
1.2%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 327
39.3%
2 250
30.0%
1 154
18.5%
4 60
 
7.2%
3 13
 
1.6%
7 8
 
1.0%
9 8
 
1.0%
5 5
 
0.6%
6 4
 
0.5%
8 3
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
F 104
50.0%
C 52
25.0%
D 52
25.0%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 327
39.3%
2 250
30.0%
1 154
18.5%
4 60
 
7.2%
3 13
 
1.6%
7 8
 
1.0%
9 8
 
1.0%
5 5
 
0.6%
6 4
 
0.5%
8 3
 
0.4%
Latin
ValueCountFrequency (%)
F 104
50.0%
C 52
25.0%
D 52
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1040
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 327
31.4%
2 250
24.0%
1 154
14.8%
F 104
 
10.0%
4 60
 
5.8%
C 52
 
5.0%
D 52
 
5.0%
3 13
 
1.2%
7 8
 
0.8%
9 8
 
0.8%
Other values (3) 12
 
1.2%

인허가일자
Date

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2001-08-29 00:00:00
Maximum2023-11-01 00:00:00
2024-05-11T14:34:48.464329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:48.716681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

영업상태코드
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
1
41 
5
6 
3
 
4
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row4
2nd row3
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 41
78.8%
5 6
 
11.5%
3 4
 
7.7%
4 1
 
1.9%

Length

2024-05-11T14:34:49.257143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:49.421574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 41
78.8%
5 6
 
11.5%
3 4
 
7.7%
4 1
 
1.9%

영업상태명
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업/정상
41 
제외/삭제/전출
6 
폐업
 
4
취소/말소/만료/정지/중지
 
1

Length

Max length14
Median length5
Mean length5.2884615
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 41
78.8%
제외/삭제/전출 6
 
11.5%
폐업 4
 
7.7%
취소/말소/만료/정지/중지 1
 
1.9%

Length

2024-05-11T14:34:49.602574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:49.775830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 41
78.8%
제외/삭제/전출 6
 
11.5%
폐업 4
 
7.7%
취소/말소/만료/정지/중지 1
 
1.9%

상세영업상태코드
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
13
41 
15
6 
3
 
4
31
 
1

Length

Max length2
Median length2
Mean length1.9230769
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

1st row31
2nd row3
3rd row13
4th row13
5th row3

Common Values

ValueCountFrequency (%)
13 41
78.8%
15 6
 
11.5%
3 4
 
7.7%
31 1
 
1.9%

Length

2024-05-11T14:34:49.967810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:50.124051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 41
78.8%
15 6
 
11.5%
3 4
 
7.7%
31 1
 
1.9%

상세영업상태명
Categorical

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size548.0 B
영업중
41 
전출
6 
폐업
 
4
등록취소
 
1

Length

Max length4
Median length3
Mean length2.8269231
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 41
78.8%
전출 6
 
11.5%
폐업 4
 
7.7%
등록취소 1
 
1.9%

Length

2024-05-11T14:34:50.323441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:50.548299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 41
78.8%
전출 6
 
11.5%
폐업 4
 
7.7%
등록취소 1
 
1.9%

폐업일자
Date

MISSING 

Distinct10
Distinct (%)100.0%
Missing42
Missing (%)80.8%
Memory size548.0 B
Minimum2008-09-22 00:00:00
Maximum2024-02-08 00:00:00
2024-05-11T14:34:50.682997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:50.878994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

MISSING 

Distinct13
Distinct (%)86.7%
Missing37
Missing (%)71.2%
Memory size548.0 B
2024-05-11T14:34:51.144059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.066667
Min length8

Characters and Unicode

Total characters166
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

Unique11 ?
Unique (%)73.3%

Sample

1st row2205-1050
2nd row2243-0063
3rd row070-7781-3877
4th row34049269
5th row070-5147-6486
ValueCountFrequency (%)
070-5147-6486 2
13.3%
02-552-6728 2
13.3%
2205-1050 1
 
6.7%
2243-0063 1
 
6.7%
070-7781-3877 1
 
6.7%
34049269 1
 
6.7%
025635624 1
 
6.7%
02-879-0352 1
 
6.7%
070-7655-1325 1
 
6.7%
0269569916 1
 
6.7%
Other values (3) 3
20.0%
2024-05-11T14:34:51.629330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26
15.7%
- 22
13.3%
2 22
13.3%
7 18
10.8%
5 18
10.8%
6 15
9.0%
8 11
6.6%
4 9
 
5.4%
3 9
 
5.4%
1 8
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 144
86.7%
Dash Punctuation 22
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
18.1%
2 22
15.3%
7 18
12.5%
5 18
12.5%
6 15
10.4%
8 11
7.6%
4 9
 
6.2%
3 9
 
6.2%
1 8
 
5.6%
9 8
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 166
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26
15.7%
- 22
13.3%
2 22
13.3%
7 18
10.8%
5 18
10.8%
6 15
9.0%
8 11
6.6%
4 9
 
5.4%
3 9
 
5.4%
1 8
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26
15.7%
- 22
13.3%
2 22
13.3%
7 18
10.8%
5 18
10.8%
6 15
9.0%
8 11
6.6%
4 9
 
5.4%
3 9
 
5.4%
1 8
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소재지우편번호
Categorical

IMBALANCE 

Distinct5
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
48 
133832
 
1
133834
 
1
133829
 
1
133850
 
1

Length

Max length6
Median length4
Mean length4.1538462
Min length4

Unique

Unique4 ?
Unique (%)7.7%

Sample

1st row133832
2nd row133834
3rd row133829
4th row133850
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 48
92.3%
133832 1
 
1.9%
133834 1
 
1.9%
133829 1
 
1.9%
133850 1
 
1.9%

Length

2024-05-11T14:34:51.828194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:52.007913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
92.3%
133832 1
 
1.9%
133834 1
 
1.9%
133829 1
 
1.9%
133850 1
 
1.9%

지번주소
Text

Distinct47
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-05-11T14:34:52.347281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length35
Mean length30.096154
Min length22

Characters and Unicode

Total characters1565
Distinct characters139
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)80.8%

Sample

1st row서울특별시 성동구 성수동*가 ***-**번지 우일벤처타운 *층
2nd row서울특별시 성동구 성수동*가 ***-**번지 평화빌딩 B동 *층
3rd row서울특별시 성동구 성수동*가 ***-**번지 대경빌딩 *층
4th row서울특별시 성동구 용답동 ***-*번지 영축빌딩 *층
5th row서울특별시 성동구 마장동 ***-*번지 세원빌딩 ***호
ValueCountFrequency (%)
서울특별시 52
18.7%
성동구 52
18.7%
성수동*가 39
14.0%
27
9.7%
번지 24
 
8.6%
층 7
 
2.5%
호 5
 
1.8%
용답동 4
 
1.4%
도선동 3
 
1.1%
현대테라스타워 2
 
0.7%
Other values (54) 63
22.7%
2024-05-11T14:34:52.915079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 282
18.0%
259
16.5%
동 113
 
7.2%
성 100
 
6.4%
서 54
 
3.5%
울 54
 
3.5%
시 54
 
3.5%
구 52
 
3.3%
별 52
 
3.3%
특 52
 
3.3%
Other values (129) 493
31.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 948
60.6%
Other Punctuation 282
 
18.0%
Space Separator 259
 
16.5%
Dash Punctuation 46
 
2.9%
Uppercase Letter 22
 
1.4%
Decimal Number 4
 
0.3%
Lowercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 113
 
11.9%
성 100
 
10.5%
서 54
 
5.7%
울 54
 
5.7%
시 54
 
5.7%
구 52
 
5.5%
별 52
 
5.5%
특 52
 
5.5%
수 47
 
5.0%
가 41
 
4.3%
Other values (104) 329
34.7%
Uppercase Letter
ValueCountFrequency (%)
E 4
18.2%
R 3
13.6%
C 2
9.1%
N 2
9.1%
T 2
9.1%
Y 1
 
4.5%
M 1
 
4.5%
O 1
 
4.5%
S 1
 
4.5%
K 1
 
4.5%
Other values (4) 4
18.2%
Decimal Number
ValueCountFrequency (%)
5 1
25.0%
7 1
25.0%
8 1
25.0%
6 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 282
100.0%
Space Separator
ValueCountFrequency (%)
259
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 948
60.6%
Common 591
37.8%
Latin 26
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 113
 
11.9%
성 100
 
10.5%
서 54
 
5.7%
울 54
 
5.7%
시 54
 
5.7%
구 52
 
5.5%
별 52
 
5.5%
특 52
 
5.5%
수 47
 
5.0%
가 41
 
4.3%
Other values (104) 329
34.7%
Latin
ValueCountFrequency (%)
E 4
15.4%
R 3
 
11.5%
C 2
 
7.7%
N 2
 
7.7%
T 2
 
7.7%
Y 1
 
3.8%
M 1
 
3.8%
O 1
 
3.8%
S 1
 
3.8%
K 1
 
3.8%
Other values (8) 8
30.8%
Common
ValueCountFrequency (%)
* 282
47.7%
259
43.8%
- 46
 
7.8%
5 1
 
0.2%
7 1
 
0.2%
8 1
 
0.2%
6 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 948
60.6%
ASCII 617
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 282
45.7%
259
42.0%
- 46
 
7.5%
E 4
 
0.6%
R 3
 
0.5%
C 2
 
0.3%
N 2
 
0.3%
T 2
 
0.3%
Y 1
 
0.2%
5 1
 
0.2%
Other values (15) 15
 
2.4%
Hangul
ValueCountFrequency (%)
동 113
 
11.9%
성 100
 
10.5%
서 54
 
5.7%
울 54
 
5.7%
시 54
 
5.7%
구 52
 
5.5%
별 52
 
5.5%
특 52
 
5.5%
수 47
 
5.0%
가 41
 
4.3%
Other values (104) 329
34.7%

도로명주소
Text

MISSING 

Distinct48
Distinct (%)96.0%
Missing2
Missing (%)3.8%
Memory size548.0 B
2024-05-11T14:34:53.350270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length40.62
Min length26

Characters and Unicode

Total characters2031
Distinct characters162
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)92.0%

Sample

1st row서울특별시 성동구 성수일로*길 ** (성수동*가,평화빌딩 B동 *층)
2nd row서울특별시 성동구 성덕정길 *** (성수동*가,대경빌딩 *층)
3rd row서울특별시 성동구 자동차시장*길 ** (용답동,영축빌딩 *층)
4th row서울특별시 성동구 자동차시장*길 ** (용답동)
5th row서울특별시 성동구 매봉**길 **-** (옥수동)
ValueCountFrequency (%)
53
14.3%
서울특별시 50
13.5%
성동구 50
13.5%
성수동*가 35
 
9.5%
호 33
 
8.9%
층 17
 
4.6%
아차산로 5
 
1.4%
뚝섬로*길 4
 
1.1%
왕십리로 4
 
1.1%
연무장**길 4
 
1.1%
Other values (87) 115
31.1%
2024-05-11T14:34:54.080226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 356
17.5%
324
16.0%
동 115
 
5.7%
성 110
 
5.4%
, 61
 
3.0%
수 57
 
2.8%
시 56
 
2.8%
서 54
 
2.7%
울 54
 
2.7%
특 50
 
2.5%
Other values (152) 794
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1139
56.1%
Other Punctuation 417
 
20.5%
Space Separator 324
 
16.0%
Open Punctuation 50
 
2.5%
Close Punctuation 50
 
2.5%
Uppercase Letter 37
 
1.8%
Decimal Number 7
 
0.3%
Lowercase Letter 4
 
0.2%
Dash Punctuation 2
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 115
 
10.1%
성 110
 
9.7%
수 57
 
5.0%
시 56
 
4.9%
서 54
 
4.7%
울 54
 
4.7%
특 50
 
4.4%
별 50
 
4.4%
구 50
 
4.4%
가 42
 
3.7%
Other values (117) 501
44.0%
Uppercase Letter
ValueCountFrequency (%)
E 5
13.5%
R 5
13.5%
O 3
 
8.1%
T 3
 
8.1%
B 2
 
5.4%
N 2
 
5.4%
C 2
 
5.4%
K 2
 
5.4%
S 2
 
5.4%
W 2
 
5.4%
Other values (9) 9
24.3%
Decimal Number
ValueCountFrequency (%)
4 2
28.6%
3 2
28.6%
9 1
14.3%
5 1
14.3%
2 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
e 1
25.0%
w 1
25.0%
o 1
25.0%
Other Punctuation
ValueCountFrequency (%)
* 356
85.4%
, 61
 
14.6%
Space Separator
ValueCountFrequency (%)
324
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1139
56.1%
Common 850
41.9%
Latin 42
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 115
 
10.1%
성 110
 
9.7%
수 57
 
5.0%
시 56
 
4.9%
서 54
 
4.7%
울 54
 
4.7%
특 50
 
4.4%
별 50
 
4.4%
구 50
 
4.4%
가 42
 
3.7%
Other values (117) 501
44.0%
Latin
ValueCountFrequency (%)
E 5
 
11.9%
R 5
 
11.9%
O 3
 
7.1%
T 3
 
7.1%
B 2
 
4.8%
N 2
 
4.8%
C 2
 
4.8%
K 2
 
4.8%
S 2
 
4.8%
W 2
 
4.8%
Other values (14) 14
33.3%
Common
ValueCountFrequency (%)
* 356
41.9%
324
38.1%
, 61
 
7.2%
( 50
 
5.9%
) 50
 
5.9%
4 2
 
0.2%
- 2
 
0.2%
3 2
 
0.2%
9 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1139
56.1%
ASCII 891
43.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 356
40.0%
324
36.4%
, 61
 
6.8%
( 50
 
5.6%
) 50
 
5.6%
E 5
 
0.6%
R 5
 
0.6%
O 3
 
0.3%
T 3
 
0.3%
B 2
 
0.2%
Other values (24) 32
 
3.6%
Hangul
ValueCountFrequency (%)
동 115
 
10.1%
성 110
 
9.7%
수 57
 
5.0%
시 56
 
4.9%
서 54
 
4.7%
울 54
 
4.7%
특 50
 
4.4%
별 50
 
4.4%
구 50
 
4.4%
가 42
 
3.7%
Other values (117) 501
44.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명우편번호
Categorical

Distinct23
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
6 
04795
5 
04798
5 
04783
4 
04779
3 
Other values (18)
29 

Length

Max length7
Median length5
Mean length4.9423077
Min length4

Unique

Unique11 ?
Unique (%)21.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 6
 
11.5%
04795 5
 
9.6%
04798 5
 
9.6%
04783 4
 
7.7%
04779 3
 
5.8%
04782 3
 
5.8%
04709 3
 
5.8%
04808 3
 
5.8%
04778 3
 
5.8%
04781 2
 
3.8%
Other values (13) 15
28.8%

Length

2024-05-11T14:34:54.292449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 6
 
11.5%
04798 5
 
9.6%
04795 5
 
9.6%
04783 4
 
7.7%
04779 3
 
5.8%
04782 3
 
5.8%
04709 3
 
5.8%
04808 3
 
5.8%
04778 3
 
5.8%
04790 2
 
3.8%
Other values (13) 15
28.8%

사업장명
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2024-05-11T14:34:54.651166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length13
Mean length9.3653846
Min length1

Characters and Unicode

Total characters487
Distinct characters137
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row(주)디지탈 선일
2nd row현대디지털엔터테인먼트(주)
3rd row(주)테마로전자
4th row(주)코발트피플즈
5th rowCB소프트
ValueCountFrequency (%)
주식회사 18
 
23.1%
소프트 2
 
2.6%
주)디지탈 1
 
1.3%
프리다츠 1
 
1.3%
주)드림커뮤니티 1
 
1.3%
콘텐츠팩토리코리아 1
 
1.3%
씨에프케이 1
 
1.3%
코스닷츠 1
 
1.3%
에이에프아이 1
 
1.3%
굿타임소프트 1
 
1.3%
Other values (50) 50
64.1%
2024-05-11T14:34:55.513470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 44
 
9.0%
( 27
 
5.5%
) 27
 
5.5%
26
 
5.3%
사 20
 
4.1%
회 20
 
4.1%
식 18
 
3.7%
트 14
 
2.9%
스 14
 
2.9%
프 13
 
2.7%
Other values (127) 264
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 390
80.1%
Open Punctuation 27
 
5.5%
Close Punctuation 27
 
5.5%
Space Separator 26
 
5.3%
Lowercase Letter 8
 
1.6%
Uppercase Letter 7
 
1.4%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 44
 
11.3%
사 20
 
5.1%
회 20
 
5.1%
식 18
 
4.6%
트 14
 
3.6%
스 14
 
3.6%
프 13
 
3.3%
이 12
 
3.1%
소 9
 
2.3%
에 9
 
2.3%
Other values (114) 217
55.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
25.0%
d 2
25.0%
t 2
25.0%
u 1
12.5%
i 1
12.5%
Uppercase Letter
ValueCountFrequency (%)
L 2
28.6%
B 2
28.6%
C 2
28.6%
S 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 390
80.1%
Common 82
 
16.8%
Latin 15
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 44
 
11.3%
사 20
 
5.1%
회 20
 
5.1%
식 18
 
4.6%
트 14
 
3.6%
스 14
 
3.6%
프 13
 
3.3%
이 12
 
3.1%
소 9
 
2.3%
에 9
 
2.3%
Other values (114) 217
55.6%
Latin
ValueCountFrequency (%)
o 2
13.3%
d 2
13.3%
t 2
13.3%
L 2
13.3%
B 2
13.3%
C 2
13.3%
u 1
6.7%
i 1
6.7%
S 1
6.7%
Common
ValueCountFrequency (%)
( 27
32.9%
) 27
32.9%
26
31.7%
. 2
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 390
80.1%
ASCII 97
 
19.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 44
 
11.3%
사 20
 
5.1%
회 20
 
5.1%
식 18
 
4.6%
트 14
 
3.6%
스 14
 
3.6%
프 13
 
3.3%
이 12
 
3.1%
소 9
 
2.3%
에 9
 
2.3%
Other values (114) 217
55.6%
ASCII
ValueCountFrequency (%)
( 27
27.8%
) 27
27.8%
26
26.8%
o 2
 
2.1%
d 2
 
2.1%
t 2
 
2.1%
L 2
 
2.1%
. 2
 
2.1%
B 2
 
2.1%
C 2
 
2.1%
Other values (3) 3
 
3.1%

최종수정일자
Date

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2007-06-01 17:02:48
Maximum2024-04-26 17:53:59
2024-05-11T14:34:55.842169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:56.141068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
I
34 
U
18 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 34
65.4%
U 18
34.6%

Length

2024-05-11T14:34:56.381430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:56.575358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 34
65.4%
u 18
34.6%

데이터갱신일자
Date

Distinct33
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:01:00
2024-05-11T14:34:56.797103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T14:34:57.066426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

좌표정보(X)
Real number (ℝ)

Distinct44
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204542.75
Minimum201145.73
Maximum205861.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-11T14:34:57.404320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201145.73
5-th percentile202801.75
Q1204213.93
median204725.81
Q3205108.23
95-th percentile205784.87
Maximum205861.78
Range4716.0491
Interquartile range (IQR)894.29812

Descriptive statistics

Standard deviation971.10889
Coefficient of variation (CV)0.0047477062
Kurtosis2.0723086
Mean204542.75
Median Absolute Deviation (MAD)460.6988
Skewness-1.2779222
Sum10636223
Variance943052.47
MonotonicityNot monotonic
2024-05-11T14:34:57.706000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
204702.224732035 2
 
3.8%
205013.206755565 2
 
3.8%
205347.503089761 2
 
3.8%
205784.868811814 2
 
3.8%
204142.207513525 2
 
3.8%
204213.931288501 2
 
3.8%
205628.634233264 2
 
3.8%
205077.325266776 2
 
3.8%
205087.490464713 1
 
1.9%
202493.7139909 1
 
1.9%
Other values (34) 34
65.4%
ValueCountFrequency (%)
201145.729252 1
1.9%
202319.174865171 1
1.9%
202493.7139909 1
1.9%
203053.771184775 1
1.9%
203077.751686799 1
1.9%
203089.863865288 1
1.9%
203235.0516216 1
1.9%
203353.475522034 1
1.9%
203766.028019571 1
1.9%
203924.802039313 1
1.9%
ValueCountFrequency (%)
205861.778324251 1
1.9%
205837.640591417 1
1.9%
205784.868811814 2
3.8%
205638.676388032 1
1.9%
205628.634233264 2
3.8%
205347.503089761 2
3.8%
205323.968609483 1
1.9%
205274.521963137 1
1.9%
205191.945639108 1
1.9%
205170.446243953 1
1.9%

좌표정보(Y)
Real number (ℝ)

Distinct44
Distinct (%)84.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449631.24
Minimum448281.2
Maximum452063.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-11T14:34:57.938601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448281.2
5-th percentile448759.9
Q1449046.9
median449363.06
Q3449606.55
95-th percentile451376.46
Maximum452063.44
Range3782.2358
Interquartile range (IQR)559.64314

Descriptive statistics

Standard deviation926.73734
Coefficient of variation (CV)0.0020611053
Kurtosis0.15684939
Mean449631.24
Median Absolute Deviation (MAD)316.15408
Skewness1.1749591
Sum23380824
Variance858842.1
MonotonicityNot monotonic
2024-05-11T14:34:58.141229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
449076.199238284 2
 
3.8%
449538.234799943 2
 
3.8%
449069.890346501 2
 
3.8%
450883.524006222 2
 
3.8%
449385.562958269 2
 
3.8%
449363.057036726 2
 
3.8%
449046.902952195 2
 
3.8%
448924.655109511 2
 
3.8%
448845.493131655 1
 
1.9%
451326.86503889 1
 
1.9%
Other values (34) 34
65.4%
ValueCountFrequency (%)
448281.204367511 1
1.9%
448614.910605472 1
1.9%
448719.112936294 1
1.9%
448793.28003487 1
1.9%
448845.493131655 1
1.9%
448889.654054727 1
1.9%
448914.166792973 1
1.9%
448924.655109511 2
3.8%
448925.421926728 1
1.9%
448934.858771073 1
1.9%
ValueCountFrequency (%)
452063.440192474 1
1.9%
451687.890552805 1
1.9%
451437.081576344 1
1.9%
451326.86503889 1
1.9%
451291.257374878 1
1.9%
451271.366165685 1
1.9%
451121.27351231 1
1.9%
450946.956111573 1
1.9%
450912.302558818 1
1.9%
450883.524006222 2
3.8%

문화체육업종명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
게임물배급업
36 
<NA>
16 

Length

Max length6
Median length6
Mean length5.3846154
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
게임물배급업 36
69.2%
<NA> 16
30.8%

Length

2024-05-11T14:34:58.503250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:58.706717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
게임물배급업 36
69.2%
na 16
30.8%

문화사업자구분명
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
유통관련업
36 
<NA>
16 

Length

Max length5
Median length5
Mean length4.6923077
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유통관련업 36
69.2%
<NA> 16
30.8%

Length

2024-05-11T14:34:58.913050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:59.103241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유통관련업 36
69.2%
na 16
30.8%

총층수
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
49 
0
 
2
7
 
1

Length

Max length4
Median length4
Mean length3.8269231
Min length1

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 49
94.2%
0 2
 
3.8%
7 1
 
1.9%

Length

2024-05-11T14:34:59.301482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:34:59.485340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
94.2%
0 2
 
3.8%
7 1
 
1.9%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing51
Missing (%)98.1%
Memory size548.0 B
2024-05-11T14:34:59.617631image/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%
2024-05-11T14:35:00.061539image/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 

Distinct26
Distinct (%)72.2%
Missing16
Missing (%)30.8%
Memory size548.0 B
2024-05-11T14:35:00.441494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length8.5
Min length2

Characters and Unicode

Total characters306
Distinct characters83
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)58.3%

Sample

1st row게임물
2nd row게임물
3rd row로봇경품게임기
4th row청소년품 게임기기
5th row온라인게임
ValueCountFrequency (%)
모바일게임 7
 
11.1%
게임 5
 
7.9%
온라인게임 5
 
7.9%
모바일 4
 
6.3%
게임물 3
 
4.8%
아케이드 2
 
3.2%
온라인 2
 
3.2%
소프트웨어 2
 
3.2%
및 2
 
3.2%
게임소프트웨어 2
 
3.2%
Other values (29) 29
46.0%
2024-05-11T14:35:01.176016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
게 34
 
11.1%
임 34
 
11.1%
27
 
8.8%
모 12
 
3.9%
일 12
 
3.9%
바 12
 
3.9%
인 10
 
3.3%
어 10
 
3.3%
라 9
 
2.9%
트 9
 
2.9%
Other values (73) 137
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
84.6%
Space Separator 27
 
8.8%
Other Punctuation 8
 
2.6%
Lowercase Letter 6
 
2.0%
Open Punctuation 2
 
0.7%
Close Punctuation 2
 
0.7%
Uppercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
게 34
 
13.1%
임 34
 
13.1%
모 12
 
4.6%
일 12
 
4.6%
바 12
 
4.6%
인 10
 
3.9%
어 10
 
3.9%
라 9
 
3.5%
트 9
 
3.5%
온 8
 
3.1%
Other values (62) 109
42.1%
Lowercase Letter
ValueCountFrequency (%)
m 2
33.3%
g 1
16.7%
p 1
16.7%
r 1
16.7%
o 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
R 1
50.0%
V 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
84.6%
Common 39
 
12.7%
Latin 8
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
게 34
 
13.1%
임 34
 
13.1%
모 12
 
4.6%
일 12
 
4.6%
바 12
 
4.6%
인 10
 
3.9%
어 10
 
3.9%
라 9
 
3.5%
트 9
 
3.5%
온 8
 
3.1%
Other values (62) 109
42.1%
Latin
ValueCountFrequency (%)
m 2
25.0%
g 1
12.5%
p 1
12.5%
R 1
12.5%
r 1
12.5%
V 1
12.5%
o 1
12.5%
Common
ValueCountFrequency (%)
27
69.2%
, 8
 
20.5%
( 2
 
5.1%
) 2
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
84.6%
ASCII 47
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
게 34
 
13.1%
임 34
 
13.1%
모 12
 
4.6%
일 12
 
4.6%
바 12
 
4.6%
인 10
 
3.9%
어 10
 
3.9%
라 9
 
3.5%
트 9
 
3.5%
온 8
 
3.1%
Other values (62) 109
42.1%
ASCII
ValueCountFrequency (%)
27
57.4%
, 8
 
17.0%
m 2
 
4.3%
( 2
 
4.3%
) 2
 
4.3%
g 1
 
2.1%
p 1
 
2.1%
R 1
 
2.1%
r 1
 
2.1%
V 1
 
2.1%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct33
Distinct (%)97.1%
Missing18
Missing (%)34.6%
Infinite0
Infinite (%)0.0%
Mean126.63794
Minimum0
Maximum759
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size600.0 B
2024-05-11T14:35:01.675084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.9825
Q141.34
median84.475
Q3147.72
95-th percentile365.1195
Maximum759
Range759
Interquartile range (IQR)106.38

Descriptive statistics

Standard deviation154.02591
Coefficient of variation (CV)1.2162699
Kurtosis9.8213542
Mean126.63794
Median Absolute Deviation (MAD)44.9
Skewness2.9535542
Sum4305.69
Variance23723.982
MonotonicityNot monotonic
2024-05-11T14:35:02.214738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
40.0 2
 
3.8%
55.76 1
 
1.9%
6.0 1
 
1.9%
6.6 1
 
1.9%
577.52 1
 
1.9%
105.0 1
 
1.9%
5.95 1
 
1.9%
92.4 1
 
1.9%
84.98 1
 
1.9%
77.02 1
 
1.9%
Other values (23) 23
44.2%
(Missing) 18
34.6%
ValueCountFrequency (%)
0.0 1
1.9%
5.95 1
1.9%
6.0 1
1.9%
6.6 1
1.9%
30.0 1
1.9%
33.0 1
1.9%
39.15 1
1.9%
40.0 2
3.8%
45.36 1
1.9%
49.26 1
1.9%
ValueCountFrequency (%)
759.0 1
1.9%
577.52 1
1.9%
250.75 1
1.9%
231.0 1
1.9%
202.4 1
1.9%
196.21 1
1.9%
188.0 1
1.9%
151.53 1
1.9%
150.96 1
1.9%
138.0 1
1.9%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
49 
0
 
3

Length

Max length4
Median length4
Mean length3.8269231
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> 49
94.2%
0 3
 
5.8%

Length

2024-05-11T14:35:02.543287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:02.753167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
94.2%
0 3
 
5.8%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
49 
0
 
3

Length

Max length4
Median length4
Mean length3.8269231
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> 49
94.2%
0 3
 
5.8%

Length

2024-05-11T14:35:02.927548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:03.125370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
94.2%
0 3
 
5.8%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing51
Missing (%)98.1%
Memory size548.0 B
2024-05-11T14:35:03.282252image/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 row근린생활시설
ValueCountFrequency (%)
근린생활시설 1
100.0%
2024-05-11T14:35:04.073052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
근 1
16.7%
린 1
16.7%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 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%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 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%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 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%
생 1
16.7%
활 1
16.7%
시 1
16.7%
설 1
16.7%

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
49 
0
 
3

Length

Max length4
Median length4
Mean length3.8269231
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> 49
94.2%
0 3
 
5.8%

Length

2024-05-11T14:35:04.331733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:04.519205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
94.2%
0 3
 
5.8%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
49 
0
 
3

Length

Max length4
Median length4
Mean length3.8269231
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> 49
94.2%
0 3
 
5.8%

Length

2024-05-11T14:35:04.726226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:04.894597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
94.2%
0 3
 
5.8%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
49 
0
 
3

Length

Max length4
Median length4
Mean length3.8269231
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> 49
94.2%
0 3
 
5.8%

Length

2024-05-11T14:35:05.079697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:05.290947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
94.2%
0 3
 
5.8%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
49 
0
 
3

Length

Max length4
Median length4
Mean length3.8269231
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> 49
94.2%
0 3
 
5.8%

Length

2024-05-11T14:35:05.488316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:05.741535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
94.2%
0 3
 
5.8%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size548.0 B
<NA>
49 
0
 
3

Length

Max length4
Median length4
Mean length3.8269231
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> 49
94.2%
0 3
 
5.8%

Length

2024-05-11T14:35:05.952044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:35:06.131530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
94.2%
0 3
 
5.8%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

지역구분명
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing50
Missing (%)96.2%
Memory size548.0 B
2024-05-11T14:35:06.307636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5.5
Mean length5.5
Min length5

Characters and Unicode

Total characters11
Distinct characters7
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 row일반공업지역
2nd row준공업지역
ValueCountFrequency (%)
일반공업지역 1
50.0%
준공업지역 1
50.0%
2024-05-11T14:35:06.762234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 2
18.2%
업 2
18.2%
지 2
18.2%
역 2
18.2%
일 1
9.1%
반 1
9.1%
준 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 2
18.2%
업 2
18.2%
지 2
18.2%
역 2
18.2%
일 1
9.1%
반 1
9.1%
준 1
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 2
18.2%
업 2
18.2%
지 2
18.2%
역 2
18.2%
일 1
9.1%
반 1
9.1%
준 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 2
18.2%
업 2
18.2%
지 2
18.2%
역 2
18.2%
일 1
9.1%
반 1
9.1%
준 1
9.1%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03030000CDFF224112200100000120011122<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>2205-1050<NA>133832서울특별시 성동구 성수동*가 ***-**번지 우일벤처타운 *층<NA><NA>(주)디지탈 선일2007-12-06 15:48:38I2018-08-31 23:59:59.0<NA>205274.521963449232.033865게임물배급업유통관련업<NA>기타게임물759.0<NA><NA>근린생활시설<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>일반공업지역
13030000CDFF224112200100000220010829<NA>3폐업3폐업20080922<NA><NA><NA><NA><NA>133834서울특별시 성동구 성수동*가 ***-**번지 평화빌딩 B동 *층서울특별시 성동구 성수일로*길 ** (성수동*가,평화빌딩 B동 *층)<NA>현대디지털엔터테인먼트(주)2008-09-22 17:45:16I2018-08-31 23:59:59.0<NA>204959.166732449214.592234게임물배급업유통관련업<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>
23030000CDFF224112200600000120061023<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA>133829서울특별시 성동구 성수동*가 ***-**번지 대경빌딩 *층서울특별시 성동구 성덕정길 *** (성수동*가,대경빌딩 *층)<NA>(주)테마로전자2007-12-04 15:24:22I2018-08-31 23:59:59.0<NA>204897.554376448281.204368게임물배급업유통관련업<NA><NA>로봇경품게임기52.8<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>
33030000CDFF224112200700000120070601<NA>1영업/정상13영업중<NA><NA><NA><NA>2243-0063<NA>133850서울특별시 성동구 용답동 ***-*번지 영축빌딩 *층서울특별시 성동구 자동차시장*길 ** (용답동,영축빌딩 *층)<NA>(주)코발트피플즈2007-06-01 17:02:48I2018-08-31 23:59:59.0<NA>205861.778324450912.302559게임물배급업유통관련업<NA><NA>청소년품 게임기기<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
43030000CDFF224112200900000120090821<NA>3폐업3폐업20130610<NA><NA><NA><NA><NA><NA>서울특별시 성동구 마장동 ***-*번지 세원빌딩 ***호<NA><NA>CB소프트2013-06-11 09:31:53I2018-08-31 23:59:59.0<NA>203235.051622452063.440192게임물배급업유통관련업<NA><NA>온라인게임30.0<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>
53030000CDFF224112200900000220091102<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 ***번지 장한평중고자동차매매상가 제에이호 비동가열*호서울특별시 성동구 자동차시장*길 ** (용답동)04808플레스게임2015-07-20 14:03:13I2018-08-31 23:59:59.0<NA>205784.868812450883.524006게임물배급업유통관련업<NA><NA>온라인게임83.97<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
63030000CDFF224112201000000220101201<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 옥수동 ***-**번지서울특별시 성동구 매봉**길 **-** (옥수동)133100(주)지렉스온라인2015-07-20 13:56:01I2018-08-31 23:59:59.0<NA>201145.729252449573.420653게임물배급업유통관련업<NA><NA>온라인게임49.26<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
73030000CDFF224112201000000320101206<NA>3폐업3폐업20110801<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-*번지 *층서울특별시 성동구 뚝섬로*길 ** (성수동*가,*층)<NA>미래로소프트2011-08-01 17:13:35I2018-08-31 23:59:59.0<NA>204295.48899448889.654055게임물배급업유통관련업<NA><NA>온라인게임33.0<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>
83030000CDFF224112201100000120110609<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 상왕십리동 ***번지 노블리안오피스텔 ***호서울특별시 성동구 왕십리로 ***, ***호 (상왕십리동)04701유아이 소프트2013-12-30 13:31:27I2018-08-31 23:59:59.0<NA>202319.174865451437.081576게임물배급업유통관련업<NA><NA>아케이드 게임물, 스마트용 어플40.0<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>
93030000CDFF22411220110000042011-12-21<NA>5제외/삭제/전출15전출2023-08-03<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-* SK테크노빌딩 ***호서울특별시 성동구 성수일로 **, *층 *호 (성수동*가, SK테크노빌딩 )133-110(주)셀빅2023-08-03 17:25:04U2022-12-08 00:05:00.0<NA>204304.435353449241.757152<NA><NA><NA><NA><NA><NA><NA><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
423030000CDFF224112202100000920210707<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 동성빌딩서울특별시 성동구 아차산로**길 **, 동성빌딩 ***호 (성수동*가)04797리얼리티리플렉션 주식회사2021-07-07 16:49:58I2021-07-09 00:22:53.0<NA>205170.446244449170.608973게임물배급업유통관련업0<NA>소프트웨어 개발(로얄마블)45.3600<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
433030000CDFF224112202200000120220215<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-** YM타워서울특별시 성동구 상원*길 *, YM타워 ***호 (성수동*가)04779(주)프로즌스피어2022-02-15 18:35:21I2022-02-17 00:22:55.0<NA>204270.548039449156.201867게임물배급업유통관련업7<NA>모바일게임 슈팅 아케이드123.7400<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA>준공업지역
443030000CDFF224112202200000220211112<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 성수역 현대테라스타워서울특별시 성동구 연무장*가길 *, 성수역 현대테라스타워 더블유***호 (성수동*가)04782주식회사 에스티티컴퍼니2022-06-21 10:56:02U2021-12-05 22:03:00.0<NA>204702.224732449076.199238<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
453030000CDFF22411220220000032016-10-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** CORNER**서울특별시 성동구 연무장**길 *, CORNER** (성수동*가)04783주식회사 레진엔터테인먼트2024-04-09 16:07:20U2023-12-03 23:01:00.0<NA>205001.44114448914.166793<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
463030000CDFF224112202300000120230105<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 마장동 768-5 신진빌딩서울특별시 성동구 마장로35나길 39, 신진빌딩 4층 디24호 (마장동)04756신세계게임즈 주식회사2023-01-05 14:21:35I2022-12-01 00:07:00.0<NA>203766.02802451687.890553<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
473030000CDFF22411220230000022023-04-17<NA>5제외/삭제/전출15전출2024-02-08<NA><NA><NA>02-2271-7830<NA><NA>서울특별시 성동구 성수동*가 *-* 영창디지털타워서울특별시 성동구 뚝섬로*길 **, 영창디지털타워 **층 ****, ****호 (성수동*가)04778메타버스엔터인먼트 주식회사2024-02-08 13:27:41U2023-12-01 23:01:00.0<NA>204142.207514449385.562958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
483030000CDFF22411220230000032023-05-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-***서울특별시 성동구 상원**길 **, **층 ****, ****호 (성수동*가)04790주식회사 스튜디오엘비(Studio LB Co. Ltd.)2023-05-08 16:29:15I2022-12-04 23:00:00.0<NA>204399.528008449705.922427<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
493030000CDFF22411220230000042023-11-01<NA>1영업/정상13영업중<NA><NA><NA><NA>070-8657-2935<NA><NA>서울특별시 성동구 성수동*가 *-* 영창디지털타워서울특별시 성동구 뚝섬로*길 **, 영창디지털타워 **층 ****호, ****호 (성수동*가)04778주식회사 캐논크래커2024-02-16 13:48:33U2023-12-01 23:08:00.0<NA>204142.207514449385.562958<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
503030000CDFF22411220230000052020-10-20<NA>1영업/정상13영업중<NA><NA><NA><NA>02-498-8501<NA><NA>서울특별시 성동구 성수동*가 ***-** 하우스디 세종타워서울특별시 성동구 성수일로**길 **, 하우스디 세종타워 *층 (성수동*가)04793주식회사 프리다츠2023-11-09 19:28:01I2022-10-31 23:01:00.0<NA>204607.548949449380.324793<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
513030000CDFF22411220240000012017-08-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-***서울특별시 성동구 아차산로*나길 **, *층 (성수동*가)04795(주)테크노블러드코리아2024-04-22 17:27:21I2023-12-03 22:04:00.0<NA>204961.750655449519.553305<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>