Overview

Dataset statistics

Number of variables56
Number of observations38
Missing cells1058
Missing cells (%)49.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory489.5 B

Variable types

Categorical16
Text10
DateTime4
Unsupported22
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
Author성동구
URLhttps://data.seoul.go.kr/dataList/OA-17295/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
문화사업자구분명 has constant value ""Constant
주변환경명 has constant value ""Constant
건물용도명 has constant value ""Constant
영업상태코드 is highly imbalanced (55.0%)Imbalance
영업상태명 is highly imbalanced (55.0%)Imbalance
상세영업상태코드 is highly imbalanced (55.0%)Imbalance
상세영업상태명 is highly imbalanced (55.0%)Imbalance
소재지우편번호 is highly imbalanced (77.9%)Imbalance
총층수 is highly imbalanced (82.4%)Imbalance
지상층수 is highly imbalanced (82.4%)Imbalance
지하층수 is highly imbalanced (82.4%)Imbalance
통로너비 is highly imbalanced (82.4%)Imbalance
조명시설조도 is highly imbalanced (82.4%)Imbalance
노래방실수 is highly imbalanced (82.4%)Imbalance
청소년실수 is highly imbalanced (82.4%)Imbalance
총게임기수 is highly imbalanced (82.4%)Imbalance
인허가취소일자 has 38 (100.0%) missing valuesMissing
폐업일자 has 32 (84.2%) missing valuesMissing
휴업시작일자 has 38 (100.0%) missing valuesMissing
휴업종료일자 has 38 (100.0%) missing valuesMissing
재개업일자 has 38 (100.0%) missing valuesMissing
전화번호 has 15 (39.5%) missing valuesMissing
소재지면적 has 38 (100.0%) missing valuesMissing
도로명주소 has 1 (2.6%) missing valuesMissing
도로명우편번호 has 5 (13.2%) missing valuesMissing
업태구분명 has 38 (100.0%) missing valuesMissing
문화사업자구분명 has 36 (94.7%) missing valuesMissing
주변환경명 has 36 (94.7%) missing valuesMissing
제작취급품목내용 has 10 (26.3%) missing valuesMissing
시설면적 has 16 (42.1%) missing valuesMissing
건물용도명 has 36 (94.7%) missing valuesMissing
비상계단여부 has 38 (100.0%) missing valuesMissing
비상구여부 has 38 (100.0%) missing valuesMissing
자동환기여부 has 38 (100.0%) missing valuesMissing
청소년실여부 has 38 (100.0%) missing valuesMissing
특수조명여부 has 38 (100.0%) missing valuesMissing
방음시설여부 has 38 (100.0%) missing valuesMissing
비디오재생기명 has 38 (100.0%) missing valuesMissing
조명시설유무 has 38 (100.0%) missing valuesMissing
음향시설여부 has 38 (100.0%) missing valuesMissing
편의시설여부 has 38 (100.0%) missing valuesMissing
소방시설여부 has 38 (100.0%) missing valuesMissing
기존게임업외업종명 has 38 (100.0%) missing valuesMissing
제공게임물명 has 38 (100.0%) missing valuesMissing
공연장형태구분명 has 38 (100.0%) missing valuesMissing
품목명 has 38 (100.0%) missing valuesMissing
최초등록시점 has 38 (100.0%) missing valuesMissing
지역구분명 has 35 (92.1%) missing valuesMissing
관리번호 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 (2.6%) zerosZeros

Reproduction

Analysis started2024-04-17 22:20:54.606254
Analysis finished2024-04-17 22:20:55.125672
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
3030000
38 

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 38
100.0%

Length

2024-04-18T07:20:55.182164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:55.256490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 38
100.0%

관리번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-18T07:20:55.393030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters760
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

Unique38 ?
Unique (%)100.0%

Sample

1st rowCDFF1241112006000001
2nd rowCDFF1241112006000002
3rd rowCDFF1241112008000001
4th rowCDFF1241112009000001
5th rowCDFF1241112009000002
ValueCountFrequency (%)
cdff1241112006000001 1
 
2.6%
cdff1241112020000003 1
 
2.6%
cdff1241112023000003 1
 
2.6%
cdff1241112017000002 1
 
2.6%
cdff1241112017000003 1
 
2.6%
cdff1241112019000001 1
 
2.6%
cdff1241112019000002 1
 
2.6%
cdff1241112020000001 1
 
2.6%
cdff1241112020000002 1
 
2.6%
cdff1241112021000001 1
 
2.6%
Other values (28) 28
73.7%
2024-04-18T07:20:55.671362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 237
31.2%
1 192
25.3%
2 107
14.1%
F 76
 
10.0%
4 42
 
5.5%
C 38
 
5.0%
D 38
 
5.0%
3 11
 
1.4%
6 9
 
1.2%
9 4
 
0.5%
Other values (3) 6
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 608
80.0%
Uppercase Letter 152
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 237
39.0%
1 192
31.6%
2 107
17.6%
4 42
 
6.9%
3 11
 
1.8%
6 9
 
1.5%
9 4
 
0.7%
7 3
 
0.5%
5 2
 
0.3%
8 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
F 76
50.0%
C 38
25.0%
D 38
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 608
80.0%
Latin 152
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 237
39.0%
1 192
31.6%
2 107
17.6%
4 42
 
6.9%
3 11
 
1.8%
6 9
 
1.5%
9 4
 
0.7%
7 3
 
0.5%
5 2
 
0.3%
8 1
 
0.2%
Latin
ValueCountFrequency (%)
F 76
50.0%
C 38
25.0%
D 38
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 237
31.2%
1 192
25.3%
2 107
14.1%
F 76
 
10.0%
4 42
 
5.5%
C 38
 
5.0%
D 38
 
5.0%
3 11
 
1.4%
6 9
 
1.2%
9 4
 
0.5%
Other values (3) 6
 
0.8%

인허가일자
Date

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2001-08-11 00:00:00
Maximum2024-01-26 00:00:00
2024-04-18T07:20:55.788233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:20:55.894918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
1
31 
3
5 
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
1 31
81.6%
3 5
 
13.2%
4 1
 
2.6%
5 1
 
2.6%

Length

2024-04-18T07:20:56.019188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:56.108009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 31
81.6%
3 5
 
13.2%
4 1
 
2.6%
5 1
 
2.6%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
영업/정상
31 
폐업
5 
취소/말소/만료/정지/중지
 
1
제외/삭제/전출
 
1

Length

Max length14
Median length5
Mean length4.9210526
Min length2

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 31
81.6%
폐업 5
 
13.2%
취소/말소/만료/정지/중지 1
 
2.6%
제외/삭제/전출 1
 
2.6%

Length

2024-04-18T07:20:56.203360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:56.301519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 31
81.6%
폐업 5
 
13.2%
취소/말소/만료/정지/중지 1
 
2.6%
제외/삭제/전출 1
 
2.6%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
13
31 
3
5 
31
 
1
15
 
1

Length

Max length2
Median length2
Mean length1.8684211
Min length1

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
13 31
81.6%
3 5
 
13.2%
31 1
 
2.6%
15 1
 
2.6%

Length

2024-04-18T07:20:56.414904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:56.534212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 31
81.6%
3 5
 
13.2%
31 1
 
2.6%
15 1
 
2.6%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
영업중
31 
폐업
5 
등록취소
 
1
전출
 
1

Length

Max length4
Median length3
Mean length2.8684211
Min length2

Unique

Unique2 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 31
81.6%
폐업 5
 
13.2%
등록취소 1
 
2.6%
전출 1
 
2.6%

Length

2024-04-18T07:20:56.652705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:56.770648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 31
81.6%
폐업 5
 
13.2%
등록취소 1
 
2.6%
전출 1
 
2.6%

폐업일자
Date

MISSING 

Distinct6
Distinct (%)100.0%
Missing32
Missing (%)84.2%
Memory size436.0 B
Minimum2014-12-30 00:00:00
Maximum2024-02-08 00:00:00
2024-04-18T07:20:56.853450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:20:56.958679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

전화번호
Text

MISSING 

Distinct21
Distinct (%)91.3%
Missing15
Missing (%)39.5%
Memory size436.0 B
2024-04-18T07:20:57.112352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.826087
Min length8

Characters and Unicode

Total characters249
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)82.6%

Sample

1st row498-5005
2nd row3404-6000
3rd row769-1605
4th row2242-8228
5th row02-466-4200
ValueCountFrequency (%)
02-517-9192 2
 
8.7%
02-979-2210 2
 
8.7%
02-6216-6000 1
 
4.3%
498-5005 1
 
4.3%
02-2281-7800 1
 
4.3%
02-6320-8500 1
 
4.3%
02-2271-7830 1
 
4.3%
02-6240-9800 1
 
4.3%
02-2299-4049 1
 
4.3%
02-6956-1145 1
 
4.3%
Other values (11) 11
47.8%
2024-04-18T07:20:57.420494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 48
19.3%
2 44
17.7%
- 40
16.1%
1 19
 
7.6%
9 19
 
7.6%
6 18
 
7.2%
4 16
 
6.4%
7 14
 
5.6%
5 13
 
5.2%
8 11
 
4.4%
Other values (2) 7
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 208
83.5%
Dash Punctuation 40
 
16.1%
Close Punctuation 1
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 48
23.1%
2 44
21.2%
1 19
 
9.1%
9 19
 
9.1%
6 18
 
8.7%
4 16
 
7.7%
7 14
 
6.7%
5 13
 
6.2%
8 11
 
5.3%
3 6
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 249
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 48
19.3%
2 44
17.7%
- 40
16.1%
1 19
 
7.6%
9 19
 
7.6%
6 18
 
7.2%
4 16
 
6.4%
7 14
 
5.6%
5 13
 
5.2%
8 11
 
4.4%
Other values (2) 7
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 48
19.3%
2 44
17.7%
- 40
16.1%
1 19
 
7.6%
9 19
 
7.6%
6 18
 
7.2%
4 16
 
6.4%
7 14
 
5.6%
5 13
 
5.2%
8 11
 
4.4%
Other values (2) 7
 
2.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소재지우편번호
Categorical

IMBALANCE 

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
36 
133710
 
1
133826
 
1

Length

Max length6
Median length4
Mean length4.1052632
Min length4

Unique

Unique2 ?
Unique (%)5.3%

Sample

1st row133710
2nd row133826
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 36
94.7%
133710 1
 
2.6%
133826 1
 
2.6%

Length

2024-04-18T07:20:57.538525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:57.649653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
94.7%
133710 1
 
2.6%
133826 1
 
2.6%

지번주소
Text

Distinct34
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-18T07:20:57.796519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33
Mean length27.921053
Min length20

Characters and Unicode

Total characters1061
Distinct characters99
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)78.9%

Sample

1st row서울특별시 성동구 성수동*가 **-*번지 SK테크노빌딩 ***,***호
2nd row서울특별시 성동구 성수동*가 ***-*번지
3rd row서울특별시 성동구 행당동 ***-*번지
4th row서울특별시 성동구 용답동 ***-*번지 미라보타워 ***호
5th row서울특별시 성동구 성수동*가 ***-**번지 이글타운 ***호
ValueCountFrequency (%)
서울특별시 38
19.7%
성동구 38
19.7%
번지 24
12.4%
성수동*가 22
11.4%
14
 
7.3%
도선동 6
 
3.1%
호 6
 
3.1%
층 4
 
2.1%
창성빌딩 3
 
1.6%
서울숲 2
 
1.0%
Other values (31) 36
18.7%
2024-04-18T07:20:58.104482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 211
19.9%
180
17.0%
동 77
 
7.3%
성 65
 
6.1%
서 42
 
4.0%
울 42
 
4.0%
특 38
 
3.6%
별 38
 
3.6%
시 38
 
3.6%
구 38
 
3.6%
Other values (89) 292
27.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 627
59.1%
Other Punctuation 212
 
20.0%
Space Separator 180
 
17.0%
Dash Punctuation 31
 
2.9%
Uppercase Letter 11
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 77
 
12.3%
성 65
 
10.4%
서 42
 
6.7%
울 42
 
6.7%
특 38
 
6.1%
별 38
 
6.1%
시 38
 
6.1%
구 38
 
6.1%
수 25
 
4.0%
지 25
 
4.0%
Other values (75) 199
31.7%
Uppercase Letter
ValueCountFrequency (%)
R 2
18.2%
E 1
9.1%
K 1
9.1%
S 1
9.1%
I 1
9.1%
T 1
9.1%
N 1
9.1%
O 1
9.1%
C 1
9.1%
M 1
9.1%
Other Punctuation
ValueCountFrequency (%)
* 211
99.5%
, 1
 
0.5%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 627
59.1%
Common 423
39.9%
Latin 11
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 77
 
12.3%
성 65
 
10.4%
서 42
 
6.7%
울 42
 
6.7%
특 38
 
6.1%
별 38
 
6.1%
시 38
 
6.1%
구 38
 
6.1%
수 25
 
4.0%
지 25
 
4.0%
Other values (75) 199
31.7%
Latin
ValueCountFrequency (%)
R 2
18.2%
E 1
9.1%
K 1
9.1%
S 1
9.1%
I 1
9.1%
T 1
9.1%
N 1
9.1%
O 1
9.1%
C 1
9.1%
M 1
9.1%
Common
ValueCountFrequency (%)
* 211
49.9%
180
42.6%
- 31
 
7.3%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 627
59.1%
ASCII 434
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 211
48.6%
180
41.5%
- 31
 
7.1%
R 2
 
0.5%
E 1
 
0.2%
K 1
 
0.2%
S 1
 
0.2%
I 1
 
0.2%
T 1
 
0.2%
N 1
 
0.2%
Other values (4) 4
 
0.9%
Hangul
ValueCountFrequency (%)
동 77
 
12.3%
성 65
 
10.4%
서 42
 
6.7%
울 42
 
6.7%
특 38
 
6.1%
별 38
 
6.1%
시 38
 
6.1%
구 38
 
6.1%
수 25
 
4.0%
지 25
 
4.0%
Other values (75) 199
31.7%

도로명주소
Text

MISSING 

Distinct35
Distinct (%)94.6%
Missing1
Missing (%)2.6%
Memory size436.0 B
2024-04-18T07:20:58.301155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length38.378378
Min length24

Characters and Unicode

Total characters1420
Distinct characters117
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

Unique33 ?
Unique (%)89.2%

Sample

1st row서울특별시 성동구 성수일로 **, ***,***호 (성수동*가,SK테크노빌딩)
2nd row서울특별시 성동구 왕십리로 *** (행당동)
3rd row서울특별시 성동구 천호대로 ***, ***호 (용답동,미라보타워)
4th row서울특별시 성동구 광나루로*길 ** (성수동*가,이글타운 ***호)
5th row서울특별시 성동구 고산자로 ***, 신한넥스텔 **층 ****호 (도선동)
ValueCountFrequency (%)
39
14.5%
서울특별시 37
13.8%
성동구 37
13.8%
호 23
 
8.6%
성수동*가 19
 
7.1%
층 16
 
5.9%
도선동 6
 
2.2%
성수일로 5
 
1.9%
왕십리로 4
 
1.5%
서울숲 4
 
1.5%
Other values (57) 79
29.4%
2024-04-18T07:20:58.660777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 249
17.5%
237
16.7%
동 81
 
5.7%
성 71
 
5.0%
, 53
 
3.7%
서 44
 
3.1%
울 43
 
3.0%
( 37
 
2.6%
) 37
 
2.6%
별 37
 
2.6%
Other values (107) 531
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 785
55.3%
Other Punctuation 302
 
21.3%
Space Separator 237
 
16.7%
Open Punctuation 37
 
2.6%
Close Punctuation 37
 
2.6%
Uppercase Letter 18
 
1.3%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 81
 
10.3%
성 71
 
9.0%
서 44
 
5.6%
울 43
 
5.5%
별 37
 
4.7%
시 37
 
4.7%
구 37
 
4.7%
특 37
 
4.7%
수 33
 
4.2%
로 29
 
3.7%
Other values (89) 336
42.8%
Uppercase Letter
ValueCountFrequency (%)
T 3
16.7%
I 3
16.7%
R 2
11.1%
E 2
11.1%
M 1
 
5.6%
N 1
 
5.6%
O 1
 
5.6%
B 1
 
5.6%
C 1
 
5.6%
S 1
 
5.6%
Other values (2) 2
11.1%
Other Punctuation
ValueCountFrequency (%)
* 249
82.5%
, 53
 
17.5%
Space Separator
ValueCountFrequency (%)
237
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 785
55.3%
Common 617
43.5%
Latin 18
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 81
 
10.3%
성 71
 
9.0%
서 44
 
5.6%
울 43
 
5.5%
별 37
 
4.7%
시 37
 
4.7%
구 37
 
4.7%
특 37
 
4.7%
수 33
 
4.2%
로 29
 
3.7%
Other values (89) 336
42.8%
Latin
ValueCountFrequency (%)
T 3
16.7%
I 3
16.7%
R 2
11.1%
E 2
11.1%
M 1
 
5.6%
N 1
 
5.6%
O 1
 
5.6%
B 1
 
5.6%
C 1
 
5.6%
S 1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
* 249
40.4%
237
38.4%
, 53
 
8.6%
( 37
 
6.0%
) 37
 
6.0%
- 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 785
55.3%
ASCII 635
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 249
39.2%
237
37.3%
, 53
 
8.3%
( 37
 
5.8%
) 37
 
5.8%
- 4
 
0.6%
T 3
 
0.5%
I 3
 
0.5%
R 2
 
0.3%
E 2
 
0.3%
Other values (8) 8
 
1.3%
Hangul
ValueCountFrequency (%)
동 81
 
10.3%
성 71
 
9.0%
서 44
 
5.6%
울 43
 
5.5%
별 37
 
4.7%
시 37
 
4.7%
구 37
 
4.7%
특 37
 
4.7%
수 33
 
4.2%
로 29
 
3.7%
Other values (89) 336
42.8%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)54.5%
Missing5
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean12560.758
Minimum4709
Maximum133847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-18T07:20:58.769935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4709
5-th percentile4709
Q14731
median4778
Q34790
95-th percentile56128.6
Maximum133847
Range129138
Interquartile range (IQR)59

Descriptive statistics

Standard deviation31190.777
Coefficient of variation (CV)2.4831924
Kurtosis13.73629
Mean12560.758
Median Absolute Deviation (MAD)17
Skewness3.8608053
Sum414505
Variance9.728646 × 108
MonotonicityNot monotonic
2024-04-18T07:20:58.883747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
4709 6
15.8%
4790 3
 
7.9%
4778 3
 
7.9%
4715 2
 
5.3%
4756 2
 
5.3%
4782 2
 
5.3%
4794 2
 
5.3%
4769 2
 
5.3%
4783 2
 
5.3%
4732 1
 
2.6%
Other values (8) 8
21.1%
(Missing) 5
13.2%
ValueCountFrequency (%)
4709 6
15.8%
4715 2
 
5.3%
4731 1
 
2.6%
4732 1
 
2.6%
4751 1
 
2.6%
4756 2
 
5.3%
4769 2
 
5.3%
4778 3
7.9%
4779 1
 
2.6%
4782 2
 
5.3%
ValueCountFrequency (%)
133847 1
 
2.6%
133120 1
 
2.6%
4801 1
 
2.6%
4795 1
 
2.6%
4794 2
5.3%
4793 1
 
2.6%
4790 3
7.9%
4783 2
5.3%
4782 2
5.3%
4779 1
 
2.6%

사업장명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2024-04-18T07:20:59.079930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length9.3157895
Min length3

Characters and Unicode

Total characters354
Distinct characters114
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row(주)블루마인드
2nd row(주)지한정보통신
3rd row(주)브릿즈북스코리아
4th row(주)케이에이치애드
5th row(주) 써니트렌드
ValueCountFrequency (%)
주식회사 8
 
16.0%
주)블루마인드 1
 
2.0%
비오디 1
 
2.0%
콘텐츠랩자박 1
 
2.0%
주)씨앤에스미디어 1
 
2.0%
주)아울로스미디어 1
 
2.0%
주)텐스퀘어 1
 
2.0%
주)타임앤드스페이스 1
 
2.0%
박은주 1
 
2.0%
팝스오케스트라 1
 
2.0%
Other values (33) 33
66.0%
2024-04-18T07:20:59.399063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
9.9%
( 27
 
7.6%
) 27
 
7.6%
스 22
 
6.2%
12
 
3.4%
사 9
 
2.5%
회 8
 
2.3%
식 8
 
2.3%
이 8
 
2.3%
디 7
 
2.0%
Other values (104) 191
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
79.7%
Open Punctuation 27
 
7.6%
Close Punctuation 27
 
7.6%
Space Separator 12
 
3.4%
Uppercase Letter 6
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
12.4%
스 22
 
7.8%
사 9
 
3.2%
회 8
 
2.8%
식 8
 
2.8%
이 8
 
2.8%
디 7
 
2.5%
인 7
 
2.5%
리 6
 
2.1%
지 5
 
1.8%
Other values (95) 167
59.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
16.7%
R 1
16.7%
S 1
16.7%
I 1
16.7%
O 1
16.7%
K 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282
79.7%
Common 66
 
18.6%
Latin 6
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
12.4%
스 22
 
7.8%
사 9
 
3.2%
회 8
 
2.8%
식 8
 
2.8%
이 8
 
2.8%
디 7
 
2.5%
인 7
 
2.5%
리 6
 
2.1%
지 5
 
1.8%
Other values (95) 167
59.2%
Latin
ValueCountFrequency (%)
A 1
16.7%
R 1
16.7%
S 1
16.7%
I 1
16.7%
O 1
16.7%
K 1
16.7%
Common
ValueCountFrequency (%)
( 27
40.9%
) 27
40.9%
12
18.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282
79.7%
ASCII 72
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
12.4%
스 22
 
7.8%
사 9
 
3.2%
회 8
 
2.8%
식 8
 
2.8%
이 8
 
2.8%
디 7
 
2.5%
인 7
 
2.5%
리 6
 
2.1%
지 5
 
1.8%
Other values (95) 167
59.2%
ASCII
ValueCountFrequency (%)
( 27
37.5%
) 27
37.5%
12
16.7%
A 1
 
1.4%
R 1
 
1.4%
S 1
 
1.4%
I 1
 
1.4%
O 1
 
1.4%
K 1
 
1.4%

최종수정일자
Date

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2006-05-15 09:56:11
Maximum2024-04-15 16:41:23
2024-04-18T07:20:59.517365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:20:59.626427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
I
26 
U
12 

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 26
68.4%
U 12
31.6%

Length

2024-04-18T07:20:59.748219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:20:59.833908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 26
68.4%
u 12
31.6%

데이터갱신일자
Date

Distinct21
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 23:07:00
2024-04-18T07:20:59.914536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T07:21:00.017473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

좌표정보(X)
Real number (ℝ)

Distinct32
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204027.09
Minimum200782.35
Maximum205684.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-18T07:21:00.125654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200782.35
5-th percentile202609.59
Q1203098.84
median204259.18
Q3204959.36
95-th percentile205271.04
Maximum205684.47
Range4902.1165
Interquartile range (IQR)1860.5272

Descriptive statistics

Standard deviation1090.0095
Coefficient of variation (CV)0.0053424742
Kurtosis1.459593
Mean204027.09
Median Absolute Deviation (MAD)724.58656
Skewness-1.0640166
Sum7753029.6
Variance1188120.7
MonotonicityNot monotonic
2024-04-18T07:21:00.233830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
203053.771184775 3
 
7.9%
203751.734888499 2
 
5.3%
204339.630102839 2
 
5.3%
203089.863865288 2
 
5.3%
204966.098616157 2
 
5.3%
204142.207513525 1
 
2.6%
203904.832656527 1
 
2.6%
203684.281166499 1
 
2.6%
205167.535545926 1
 
2.6%
200782.353831759 1
 
2.6%
Other values (22) 22
57.9%
ValueCountFrequency (%)
200782.353831759 1
 
2.6%
201157.877298502 1
 
2.6%
202865.769674035 1
 
2.6%
202994.568632461 1
 
2.6%
203053.771184775 3
7.9%
203077.751686799 1
 
2.6%
203089.863865288 2
5.3%
203125.751232112 1
 
2.6%
203684.281166499 1
 
2.6%
203751.734888499 2
5.3%
ValueCountFrequency (%)
205684.470374768 1
2.6%
205328.899267705 1
2.6%
205260.827743854 1
2.6%
205184.716063461 1
2.6%
205167.535545926 1
2.6%
205077.325266776 1
2.6%
205013.206755565 1
2.6%
205001.441139505 1
2.6%
204966.098616157 2
5.3%
204939.155835935 1
2.6%

좌표정보(Y)
Real number (ℝ)

Distinct32
Distinct (%)84.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean449908.51
Minimum448399.95
Maximum451704.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-18T07:21:00.333930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448399.95
5-th percentile448892.4
Q1449159.47
median449419.45
Q3451052.88
95-th percentile451353.24
Maximum451704.46
Range3304.5158
Interquartile range (IQR)1893.406

Descriptive statistics

Standard deviation1004.8974
Coefficient of variation (CV)0.0022335594
Kurtosis-1.3370902
Mean449908.51
Median Absolute Deviation (MAD)335.51551
Skewness0.57726546
Sum17096524
Variance1009818.8
MonotonicityNot monotonic
2024-04-18T07:21:00.431024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
451291.257374878 3
 
7.9%
451704.464412143 2
 
5.3%
449469.505136008 2
 
5.3%
451271.366165685 2
 
5.3%
449159.452779834 2
 
5.3%
449385.562958269 1
 
2.6%
449317.777057678 1
 
2.6%
449280.97521227 1
 
2.6%
448920.682564138 1
 
2.6%
448769.04984965 1
 
2.6%
Other values (22) 22
57.9%
ValueCountFrequency (%)
448399.948660115 1
2.6%
448769.04984965 1
2.6%
448914.166792973 1
2.6%
448920.682564138 1
2.6%
448924.655109511 1
2.6%
449076.199238284 1
2.6%
449091.660473051 1
2.6%
449125.358927876 1
2.6%
449159.452779834 2
5.3%
449159.520344009 1
2.6%
ValueCountFrequency (%)
451704.464412143 2
5.3%
451291.257374878 3
7.9%
451271.366165685 2
5.3%
451121.27351231 1
 
2.6%
451094.899387975 1
 
2.6%
451053.784809385 1
 
2.6%
451050.148324829 1
 
2.6%
450955.842733947 1
 
2.6%
450929.958443224 1
 
2.6%
449721.434902293 1
 
2.6%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
비디오물배급업
28 
<NA>
10 

Length

Max length7
Median length7
Mean length6.2105263
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비디오물배급업 28
73.7%
<NA> 10
 
26.3%

Length

2024-04-18T07:21:00.539353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:00.629515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비디오물배급업 28
73.7%
na 10
 
26.3%

문화사업자구분명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing36
Missing (%)94.7%
Memory size436.0 B
2024-04-18T07:21:00.724958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters5
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 row유통관련업
2nd row유통관련업
ValueCountFrequency (%)
유통관련업 2
100.0%
2024-04-18T07:21:00.933881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
유 2
20.0%
통 2
20.0%
관 2
20.0%
련 2
20.0%
업 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
유 2
20.0%
통 2
20.0%
관 2
20.0%
련 2
20.0%
업 2
20.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
유 2
20.0%
통 2
20.0%
관 2
20.0%
련 2
20.0%
업 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
유 2
20.0%
통 2
20.0%
관 2
20.0%
련 2
20.0%
업 2
20.0%

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-18T07:21:01.082243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:01.195431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

주변환경명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing36
Missing (%)94.7%
Memory size436.0 B
2024-04-18T07:21:01.257396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

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

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row기타
ValueCountFrequency (%)
기타 2
100.0%
2024-04-18T07:21:01.430097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

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

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

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

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

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

제작취급품목내용
Text

MISSING 

Distinct21
Distinct (%)75.0%
Missing10
Missing (%)26.3%
Memory size436.0 B
2024-04-18T07:21:01.576531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.0357143
Min length3

Characters and Unicode

Total characters225
Distinct characters63
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)67.9%

Sample

1st row비디오물 배급
2nd row통신음향장비 배급
3rd row어린이학습용테이프
4th row드라마 등 영상물
5th row비디오물
ValueCountFrequency (%)
비디오물 9
19.1%
등 4
 
8.5%
교육용 3
 
6.4%
영상물 3
 
6.4%
홍보영상물 2
 
4.3%
dvd 2
 
4.3%
배급 2
 
4.3%
동영상 1
 
2.1%
디지털콘텐츠 1
 
2.1%
영화,광고,드라마 1
 
2.1%
Other values (19) 19
40.4%
2024-04-18T07:21:01.853598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
8.4%
물 17
 
7.6%
영 17
 
7.6%
상 14
 
6.2%
비 13
 
5.8%
디 13
 
5.8%
, 12
 
5.3%
오 12
 
5.3%
D 6
 
2.7%
이 5
 
2.2%
Other values (53) 97
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
82.2%
Space Separator 19
 
8.4%
Other Punctuation 12
 
5.3%
Uppercase Letter 9
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 17
 
9.2%
영 17
 
9.2%
상 14
 
7.6%
비 13
 
7.0%
디 13
 
7.0%
오 12
 
6.5%
이 5
 
2.7%
용 4
 
2.2%
등 4
 
2.2%
홍 4
 
2.2%
Other values (49) 82
44.3%
Uppercase Letter
ValueCountFrequency (%)
D 6
66.7%
V 3
33.3%
Space Separator
ValueCountFrequency (%)
19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
82.2%
Common 31
 
13.8%
Latin 9
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 17
 
9.2%
영 17
 
9.2%
상 14
 
7.6%
비 13
 
7.0%
디 13
 
7.0%
오 12
 
6.5%
이 5
 
2.7%
용 4
 
2.2%
등 4
 
2.2%
홍 4
 
2.2%
Other values (49) 82
44.3%
Common
ValueCountFrequency (%)
19
61.3%
, 12
38.7%
Latin
ValueCountFrequency (%)
D 6
66.7%
V 3
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
82.2%
ASCII 40
 
17.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
47.5%
, 12
30.0%
D 6
 
15.0%
V 3
 
7.5%
Hangul
ValueCountFrequency (%)
물 17
 
9.2%
영 17
 
9.2%
상 14
 
7.6%
비 13
 
7.0%
디 13
 
7.0%
오 12
 
6.5%
이 5
 
2.7%
용 4
 
2.2%
등 4
 
2.2%
홍 4
 
2.2%
Other values (49) 82
44.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)95.5%
Missing16
Missing (%)42.1%
Infinite0
Infinite (%)0.0%
Mean97.5
Minimum0
Maximum476.03
Zeros1
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size474.0 B
2024-04-18T07:21:01.956790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1015
Q118.25
median65.22
Q3145.1425
95-th percentile255.065
Maximum476.03
Range476.03
Interquartile range (IQR)126.8925

Descriptive statistics

Standard deviation111.82933
Coefficient of variation (CV)1.1469675
Kurtosis5.3802599
Mean97.5
Median Absolute Deviation (MAD)59.32
Skewness2.0348102
Sum2145
Variance12505.799
MonotonicityNot monotonic
2024-04-18T07:21:02.062425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
180.3 2
 
5.3%
128.23 1
 
2.6%
150.78 1
 
2.6%
259.0 1
 
2.6%
67.24 1
 
2.6%
30.0 1
 
2.6%
171.8 1
 
2.6%
92.56 1
 
2.6%
6.8 1
 
2.6%
83.0 1
 
2.6%
Other values (11) 11
28.9%
(Missing) 16
42.1%
ValueCountFrequency (%)
0.0 1
2.6%
1.0 1
2.6%
3.03 1
2.6%
5.0 1
2.6%
6.8 1
2.6%
16.0 1
2.6%
25.0 1
2.6%
30.0 1
2.6%
37.1 1
2.6%
46.0 1
2.6%
ValueCountFrequency (%)
476.03 1
2.6%
259.0 1
2.6%
180.3 2
5.3%
171.8 1
2.6%
150.78 1
2.6%
128.23 1
2.6%
122.63 1
2.6%
92.56 1
2.6%
83.0 1
2.6%
67.24 1
2.6%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-18T07:21:02.163654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:02.246216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-18T07:21:02.339900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:02.437482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

건물용도명
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing36
Missing (%)94.7%
Memory size436.0 B
2024-04-18T07:21:02.535333image/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%
2024-04-18T07:21:02.734952image/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 (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-18T07:21:03.329000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:03.408969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-18T07:21:03.494887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:03.581563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-18T07:21:03.696112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:03.778931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-18T07:21:03.879952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:03.977327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
<NA>
37 
0
 
1

Length

Max length4
Median length4
Mean length3.9210526
Min length1

Unique

Unique1 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
97.4%
0 1
 
2.6%

Length

2024-04-18T07:21:04.066667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T07:21:04.153178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
97.4%
0 1
 
2.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

최초등록시점
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing38
Missing (%)100.0%
Memory size474.0 B

지역구분명
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing35
Missing (%)92.1%
Memory size436.0 B
2024-04-18T07:21:04.248208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6666667
Min length5

Characters and Unicode

Total characters17
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

Unique1 ?
Unique (%)33.3%

Sample

1st row일반공업지역
2nd row일반공업지역
3rd row준공업지역
ValueCountFrequency (%)
일반공업지역 2
66.7%
준공업지역 1
33.3%
2024-04-18T07:21:04.515320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 3
17.6%
업 3
17.6%
지 3
17.6%
역 3
17.6%
일 2
11.8%
반 2
11.8%
준 1
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 3
17.6%
업 3
17.6%
지 3
17.6%
역 3
17.6%
일 2
11.8%
반 2
11.8%
준 1
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 3
17.6%
업 3
17.6%
지 3
17.6%
역 3
17.6%
일 2
11.8%
반 2
11.8%
준 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 3
17.6%
업 3
17.6%
지 3
17.6%
역 3
17.6%
일 2
11.8%
반 2
11.8%
준 1
 
5.9%

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03030000CDFF124111200600000120060515<NA>1영업/정상13영업중<NA><NA><NA><NA>498-5005<NA>133710서울특별시 성동구 성수동*가 **-*번지 SK테크노빌딩 ***,***호서울특별시 성동구 성수일로 **, ***,***호 (성수동*가,SK테크노빌딩)<NA>(주)블루마인드2006-05-15 09:56:11I2018-08-31 23:59:59.0<NA>204304.435353449241.757152비디오물배급업유통관련업<NA>기타비디오물 배급476.03<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
13030000CDFF124111200600000220060619<NA>4취소/말소/만료/정지/중지31등록취소<NA><NA><NA><NA>3404-6000<NA>133826서울특별시 성동구 성수동*가 ***-*번지<NA><NA>(주)지한정보통신2007-12-06 15:51:57I2018-08-31 23:59:59.0<NA>205260.827744448399.94866비디오물배급업유통관련업<NA>기타통신음향장비 배급<NA><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
23030000CDFF124111200800000120080404<NA>1영업/정상13영업중<NA><NA><NA><NA>769-1605<NA><NA>서울특별시 성동구 행당동 ***-*번지서울특별시 성동구 왕십리로 *** (행당동)4751(주)브릿즈북스코리아2013-12-26 15:54:49I2018-08-31 23:59:59.0<NA>203125.751232450929.958443비디오물배급업<NA><NA><NA>어린이학습용테이프<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>
33030000CDFF124111200900000120090602<NA>1영업/정상13영업중<NA><NA><NA><NA>2242-8228<NA><NA>서울특별시 성동구 용답동 ***-*번지 미라보타워 ***호서울특별시 성동구 천호대로 ***, ***호 (용답동,미라보타워)<NA>(주)케이에이치애드2009-06-02 09:36:47I2018-08-31 23:59:59.0<NA>205184.716063451050.148325비디오물배급업<NA><NA><NA>드라마 등 영상물46.0<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>
43030000CDFF124111200900000220060213<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-**번지 이글타운 ***호서울특별시 성동구 광나루로*길 ** (성수동*가,이글타운 ***호)<NA>(주) 써니트렌드2009-07-15 08:55:50I2018-08-31 23:59:59.0<NA>205328.899268449397.072804비디오물배급업<NA><NA><NA>비디오물<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>
53030000CDFF12411120110000012001-10-31<NA>1영업/정상13영업중<NA><NA><NA><NA>02-466-4200<NA><NA>서울특별시 성동구 도선동 ** 신한넥스텔서울특별시 성동구 고산자로 ***, 신한넥스텔 **층 ****호 (도선동)4709(주)인타문화2023-11-08 14:59:41U2022-10-31 23:00:00.0<NA>203089.863865451271.366166<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>
63030000CDFF124111201100000220010811<NA>3폐업3폐업20161123<NA><NA><NA>02-547-6732<NA><NA>서울특별시 성동구 성수동*가 ***-**번지서울특별시 성동구 연무장**길 * (성수동*가)<NA>(주)필코인터내셔날2016-11-23 15:34:51I2018-08-31 23:59:59.0<NA>205077.325267448924.65511비디오물배급업<NA><NA><NA>비디오물배급업<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>
73030000CDFF124111201100000320091103<NA>1영업/정상13영업중<NA><NA><NA><NA>02)769-1605<NA><NA>서울특별시 성동구 행당동 ***번지 서울성동우체국 *층서울특별시 성동구 왕십리로 ***, *층 (행당동, 성동우체국)4715(주)브릿지북스코리아2012-03-05 11:49:24I2018-08-31 23:59:59.0<NA>202994.568632450955.842734비디오물배급업<NA><NA><NA>어린이 교육용 테이프<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>
83030000CDFF124111201200000120120227<NA>3폐업3폐업20150611<NA><NA><NA>02-747-9443<NA><NA>서울특별시 성동구 성수동*가 ***-*번지 삼진빌딩 ***호서울특별시 성동구 아차산로 ***, ***호 (성수동*가, 삼진빌딩)133120KOISRA(코이스라)2015-06-11 15:29:53I2018-08-31 23:59:59.0<NA>204966.098616449159.45278비디오물배급업<NA><NA><NA>비디오물3.03<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>
93030000CDFF124111201200000220120622<NA>1영업/정상13영업중<NA><NA><NA><NA>02-979-2210<NA><NA>서울특별시 성동구 마장동 ***-**번지 케이원빌딩 ***호서울특별시 성동구 마장로**나길 **, ***호 (마장동, 케이원빌딩)4756(주)신우이엔텍2012-06-22 14:12:50I2018-08-31 23:59:59.0<NA>203751.734888451704.464412비디오물배급업<NA><NA><NA>영상솔루션, 콘텐츠122.63<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
283030000CDFF12411120200000042020-11-24<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6956-1145<NA><NA>서울특별시 성동구 성수동*가 **-*** 서울숲 IT 밸리서울특별시 성동구 성수일로 **, 서울숲 IT 밸리 ***호 (성수동*가)4790(주)메타포스2024-03-12 11:53:49U2023-12-02 23:04:00.0<NA>204339.630103449469.505136<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>
293030000CDFF124111202100000120090306<NA>3폐업3폐업20220920<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 태광산업서울특별시 성동구 연무장**길 **, B동 *층 ***호 (성수동*가)4783(주)인터메이저2022-09-20 14:47:01U2021-12-08 22:02:00.0<NA>205167.535546448920.682564<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>
303030000CDFF124111202100000220210818<NA>1영업/정상13영업중<NA><NA><NA><NA>02-2299-4049<NA><NA>서울특별시 성동구 옥수동 ***-* 루하우스서울특별시 성동구 독서당로**길 **-**, *층 ***호 (옥수동, 루하우스)4732(주)스튜디오 산타클로스엔터테인먼트2021-08-18 17:23:26I2021-08-20 00:22:50.0<NA>200782.353832448769.04985비디오물배급업<NA>0<NA>홍보영상물, 광고물150.7800<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
313030000CDFF12411120210000032006-05-25<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6240-9800<NA><NA>서울특별시 성동구 성수동*가 ***-*** 아크로 서울포레스트서울특별시 성동구 왕십리로 **-**, 디타워동 **층 (성수동*가, 아크로 서울포레스트)4769(주)에스엠엔터테인먼트2024-04-15 16:41:23U2023-12-03 23:07:00.0<NA>203806.203689449125.358928<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>
323030000CDFF12411120220000012021-10-29<NA>5제외/삭제/전출15전출2024-02-08<NA><NA><NA>02-2271-7830<NA><NA>서울특별시 성동구 성수동*가 *-* 영창디지털타워서울특별시 성동구 뚝섬로*길 **, 영창디지털타워 **층 (성수동*가)4778메타버스엔터테인먼트 주식회사2024-02-08 13:26:26U2023-12-01 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>
333030000CDFF12411120220000022016-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6320-8500<NA><NA>서울특별시 성동구 성수동*가 ***-** CORNER**서울특별시 성동구 연무장**길 *, CORNER** (성수동*가)4783주식회사 키다리스튜디오2024-04-09 17:56:34U2023-12-03 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>
343030000CDFF12411120230000012023-06-02<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-*** 개풍빌딩서울특별시 성동구 아차산로 **, 개풍빌딩 *층 ***호 (성수동*가)4779토야네북스2023-06-02 17:42:05I2022-12-06 00:04:00.0<NA>204213.931289449363.057037<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>
353030000CDFF12411120230000022021-01-27<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 송정동 **-***서울특별시 성동구 송정*길 *, *층 (송정동)4801주식회사 질리언뷰2023-09-12 13:38:01I2022-12-08 23:04:00.0<NA>205684.470375449721.434902<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>
363030000CDFF12411120230000032020-10-19<NA>1영업/정상13영업중<NA><NA><NA><NA>02-498-8501<NA><NA>서울특별시 성동구 성수동*가 ***-** 하우스디 세종타워서울특별시 성동구 성수일로**길 **, 하우스디 세종타워 *층 ***호 (성수동*가)4793주식회사 프리다츠2023-11-09 18:14:55I2022-10-31 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>
373030000CDFF12411120240000012024-01-26<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-***서울특별시 성동구 성수일로*길 **, A동 ***호 (성수동*가)4794주식회사 라온디어스 서울지사2024-01-26 17:55:01I2023-11-30 22:08:00.0<NA>204939.155836449221.773517<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>