Overview

Dataset statistics

Number of variables56
Number of observations135
Missing cells3900
Missing cells (%)51.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.7 KiB
Average record size in memory491.0 B

Variable types

Categorical16
Text7
DateTime3
Unsupported27
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-17730/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
상세영업상태코드 is highly imbalanced (51.1%)Imbalance
상세영업상태명 is highly imbalanced (51.1%)Imbalance
총층수 is highly imbalanced (54.3%)Imbalance
시설면적 is highly imbalanced (54.3%)Imbalance
지상층수 is highly imbalanced (54.3%)Imbalance
지하층수 is highly imbalanced (54.3%)Imbalance
통로너비 is highly imbalanced (54.3%)Imbalance
조명시설조도 is highly imbalanced (54.3%)Imbalance
노래방실수 is highly imbalanced (54.3%)Imbalance
청소년실수 is highly imbalanced (54.3%)Imbalance
총게임기수 is highly imbalanced (54.3%)Imbalance
인허가취소일자 has 135 (100.0%) missing valuesMissing
폐업일자 has 107 (79.3%) missing valuesMissing
휴업시작일자 has 135 (100.0%) missing valuesMissing
휴업종료일자 has 135 (100.0%) missing valuesMissing
재개업일자 has 135 (100.0%) missing valuesMissing
전화번호 has 95 (70.4%) missing valuesMissing
소재지면적 has 135 (100.0%) missing valuesMissing
소재지우편번호 has 135 (100.0%) missing valuesMissing
도로명주소 has 2 (1.5%) missing valuesMissing
도로명우편번호 has 5 (3.7%) missing valuesMissing
업태구분명 has 135 (100.0%) missing valuesMissing
문화사업자구분명 has 135 (100.0%) missing valuesMissing
주변환경명 has 135 (100.0%) missing valuesMissing
제작취급품목내용 has 135 (100.0%) missing valuesMissing
건물용도명 has 135 (100.0%) missing valuesMissing
비상계단여부 has 135 (100.0%) missing valuesMissing
비상구여부 has 135 (100.0%) missing valuesMissing
자동환기여부 has 135 (100.0%) missing valuesMissing
청소년실여부 has 135 (100.0%) missing valuesMissing
특수조명여부 has 135 (100.0%) missing valuesMissing
방음시설여부 has 135 (100.0%) missing valuesMissing
비디오재생기명 has 135 (100.0%) missing valuesMissing
조명시설유무 has 135 (100.0%) missing valuesMissing
음향시설여부 has 135 (100.0%) missing valuesMissing
편의시설여부 has 135 (100.0%) missing valuesMissing
소방시설여부 has 135 (100.0%) missing valuesMissing
기존게임업외업종명 has 135 (100.0%) missing valuesMissing
제공게임물명 has 135 (100.0%) missing valuesMissing
공연장형태구분명 has 135 (100.0%) missing valuesMissing
품목명 has 135 (100.0%) missing valuesMissing
최초등록시점 has 44 (32.6%) missing valuesMissing
지역구분명 has 135 (100.0%) 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
소재지우편번호 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
문화사업자구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주변환경명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
건물용도명 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
지역구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-11 07:59:37.780178
Analysis finished2024-05-11 07:59:39.217337
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
3030000
135 

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 135
100.0%

Length

2024-05-11T07:59:39.415938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:39.727450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 135
100.0%

관리번호
Text

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T07:59:40.105423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters2700
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

Unique135 ?
Unique (%)100.0%

Sample

1st rowCDFF5211012008000001
2nd rowCDFF5211012010000002
3rd rowCDFF5211012010000003
4th rowCDFF5211012011000002
5th rowCDFF5211012011000003
ValueCountFrequency (%)
cdff5211012008000001 1
 
0.7%
cdff5211012021000015 1
 
0.7%
cdff5211012021000012 1
 
0.7%
cdff5211012021000011 1
 
0.7%
cdff5211012021000010 1
 
0.7%
cdff5211012021000009 1
 
0.7%
cdff5211012021000008 1
 
0.7%
cdff5211012021000007 1
 
0.7%
cdff5211012021000006 1
 
0.7%
cdff5211012021000005 1
 
0.7%
Other values (125) 125
92.6%
2024-05-11T07:59:40.965437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 929
34.4%
1 558
20.7%
2 371
 
13.7%
F 270
 
10.0%
5 160
 
5.9%
C 135
 
5.0%
D 135
 
5.0%
3 39
 
1.4%
4 25
 
0.9%
9 22
 
0.8%
Other values (3) 56
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2160
80.0%
Uppercase Letter 540
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 929
43.0%
1 558
25.8%
2 371
 
17.2%
5 160
 
7.4%
3 39
 
1.8%
4 25
 
1.2%
9 22
 
1.0%
8 20
 
0.9%
6 18
 
0.8%
7 18
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
F 270
50.0%
C 135
25.0%
D 135
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2160
80.0%
Latin 540
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 929
43.0%
1 558
25.8%
2 371
 
17.2%
5 160
 
7.4%
3 39
 
1.8%
4 25
 
1.2%
9 22
 
1.0%
8 20
 
0.9%
6 18
 
0.8%
7 18
 
0.8%
Latin
ValueCountFrequency (%)
F 270
50.0%
C 135
25.0%
D 135
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 929
34.4%
1 558
20.7%
2 371
 
13.7%
F 270
 
10.0%
5 160
 
5.9%
C 135
 
5.0%
D 135
 
5.0%
3 39
 
1.4%
4 25
 
0.9%
9 22
 
0.8%
Other values (3) 56
 
2.1%

인허가일자
Date

Distinct129
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2000-01-28 00:00:00
Maximum2024-04-09 00:00:00
2024-05-11T07:59:41.318297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:59:41.759867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

영업상태코드
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
107 
3
17 
5
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 107
79.3%
3 17
 
12.6%
5 11
 
8.1%

Length

2024-05-11T07:59:42.020893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:42.210359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 107
79.3%
3 17
 
12.6%
5 11
 
8.1%

영업상태명
Categorical

Distinct3
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업/정상
107 
폐업
17 
제외/삭제/전출
11 

Length

Max length8
Median length5
Mean length4.8666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 107
79.3%
폐업 17
 
12.6%
제외/삭제/전출 11
 
8.1%

Length

2024-05-11T07:59:42.417898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:42.632965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 107
79.3%
폐업 17
 
12.6%
제외/삭제/전출 11
 
8.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
13
107 
3
16 
15
11 
34
 
1

Length

Max length2
Median length2
Mean length1.8814815
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
13 107
79.3%
3 16
 
11.9%
15 11
 
8.1%
34 1
 
0.7%

Length

2024-05-11T07:59:42.882400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:43.130727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 107
79.3%
3 16
 
11.9%
15 11
 
8.1%
34 1
 
0.7%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업중
107 
폐업
16 
전출
11 
영업장폐쇄
 
1

Length

Max length5
Median length3
Mean length2.8148148
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 107
79.3%
폐업 16
 
11.9%
전출 11
 
8.1%
영업장폐쇄 1
 
0.7%

Length

2024-05-11T07:59:43.350808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:43.559919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 107
79.3%
폐업 16
 
11.9%
전출 11
 
8.1%
영업장폐쇄 1
 
0.7%

폐업일자
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing107
Missing (%)79.3%
Memory size1.2 KiB
2024-05-11T07:59:43.941674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.7857143
Min length8

Characters and Unicode

Total characters246
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

Unique26 ?
Unique (%)92.9%

Sample

1st row20150831
2nd row20110621
3rd row20140219
4th row20210107
5th row20220513
ValueCountFrequency (%)
9999-12-31 2
 
7.1%
2024-04-02 1
 
3.6%
20150831 1
 
3.6%
20190812 1
 
3.6%
2023-09-22 1
 
3.6%
2023-04-06 1
 
3.6%
2023-05-25 1
 
3.6%
2023-12-26 1
 
3.6%
2023-11-13 1
 
3.6%
20210610 1
 
3.6%
Other values (17) 17
60.7%
2024-05-11T07:59:44.858918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 66
26.8%
0 52
21.1%
1 46
18.7%
- 22
 
8.9%
9 14
 
5.7%
3 14
 
5.7%
4 9
 
3.7%
8 7
 
2.8%
6 6
 
2.4%
5 6
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 224
91.1%
Dash Punctuation 22
 
8.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 66
29.5%
0 52
23.2%
1 46
20.5%
9 14
 
6.2%
3 14
 
6.2%
4 9
 
4.0%
8 7
 
3.1%
6 6
 
2.7%
5 6
 
2.7%
7 4
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 246
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 66
26.8%
0 52
21.1%
1 46
18.7%
- 22
 
8.9%
9 14
 
5.7%
3 14
 
5.7%
4 9
 
3.7%
8 7
 
2.8%
6 6
 
2.4%
5 6
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 246
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 66
26.8%
0 52
21.1%
1 46
18.7%
- 22
 
8.9%
9 14
 
5.7%
3 14
 
5.7%
4 9
 
3.7%
8 7
 
2.8%
6 6
 
2.4%
5 6
 
2.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

전화번호
Text

MISSING 

Distinct37
Distinct (%)92.5%
Missing95
Missing (%)70.4%
Memory size1.2 KiB
2024-05-11T07:59:45.308336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.575
Min length8

Characters and Unicode

Total characters463
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

Unique36 ?
Unique (%)90.0%

Sample

1st row070-8650-3744
2nd row02-469-0466
3rd row02-6393-6556
4th row070-7794-9191
5th row02-546-7100
ValueCountFrequency (%)
02-2038-2431 4
 
10.0%
02-541-5810 1
 
2.5%
02-2027-2300 1
 
2.5%
0263397772 1
 
2.5%
07086686608 1
 
2.5%
02-511-7831 1
 
2.5%
02-467-6100 1
 
2.5%
0230173440 1
 
2.5%
02-545-6207 1
 
2.5%
02-3445-1045 1
 
2.5%
Other values (27) 27
67.5%
2024-05-11T07:59:46.242013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 87
18.8%
- 73
15.8%
2 59
12.7%
4 38
8.2%
7 36
7.8%
6 35
7.6%
1 34
 
7.3%
5 33
 
7.1%
3 29
 
6.3%
8 22
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
84.2%
Dash Punctuation 73
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 87
22.3%
2 59
15.1%
4 38
9.7%
7 36
9.2%
6 35
9.0%
1 34
 
8.7%
5 33
 
8.5%
3 29
 
7.4%
8 22
 
5.6%
9 17
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 73
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 463
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 87
18.8%
- 73
15.8%
2 59
12.7%
4 38
8.2%
7 36
7.8%
6 35
7.6%
1 34
 
7.3%
5 33
 
7.1%
3 29
 
6.3%
8 22
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 87
18.8%
- 73
15.8%
2 59
12.7%
4 38
8.2%
7 36
7.8%
6 35
7.6%
1 34
 
7.3%
5 33
 
7.1%
3 29
 
6.3%
8 22
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

지번주소
Text

Distinct113
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T07:59:46.807931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length28.214815
Min length18

Characters and Unicode

Total characters3809
Distinct characters175
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)70.4%

Sample

1st row서울특별시 성동구 옥수동 ***-**번지
2nd row서울특별시 성동구 용답동 ***-*번지 미라보타워 ***
3rd row서울특별시 성동구 도선동 신한넥스텔 ***호
4th row서울특별시 성동구 성수동*가 ***번지 *층
5th row서울특별시 성동구 하왕십리동 ***번지 한신무학아파트 *동 ****호
ValueCountFrequency (%)
서울특별시 135
20.0%
성동구 135
20.0%
성수동*가 94
13.9%
78
11.6%
번지 56
8.3%
옥수동 13
 
1.9%
서울숲 8
 
1.2%
금호동*가 8
 
1.2%
호 7
 
1.0%
sk 5
 
0.7%
Other values (90) 136
20.1%
2024-05-11T07:59:47.844313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 772
20.3%
627
16.5%
동 279
 
7.3%
성 246
 
6.5%
서 152
 
4.0%
울 152
 
4.0%
시 137
 
3.6%
특 135
 
3.5%
별 135
 
3.5%
구 135
 
3.5%
Other values (165) 1039
27.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2178
57.2%
Other Punctuation 772
 
20.3%
Space Separator 627
 
16.5%
Dash Punctuation 109
 
2.9%
Uppercase Letter 69
 
1.8%
Lowercase Letter 39
 
1.0%
Decimal Number 7
 
0.2%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 279
12.8%
성 246
11.3%
서 152
 
7.0%
울 152
 
7.0%
시 137
 
6.3%
특 135
 
6.2%
별 135
 
6.2%
구 135
 
6.2%
수 125
 
5.7%
가 107
 
4.9%
Other values (124) 575
26.4%
Uppercase Letter
ValueCountFrequency (%)
R 9
13.0%
T 8
11.6%
E 7
10.1%
O 6
8.7%
S 6
8.7%
K 6
8.7%
V 5
7.2%
W 4
 
5.8%
L 3
 
4.3%
N 3
 
4.3%
Other values (8) 12
17.4%
Lowercase Letter
ValueCountFrequency (%)
o 8
20.5%
e 7
17.9%
r 6
15.4%
w 4
10.3%
a 2
 
5.1%
l 2
 
5.1%
m 2
 
5.1%
h 2
 
5.1%
p 2
 
5.1%
t 2
 
5.1%
Other values (2) 2
 
5.1%
Decimal Number
ValueCountFrequency (%)
5 2
28.6%
1 1
14.3%
6 1
14.3%
8 1
14.3%
2 1
14.3%
9 1
14.3%
Other Punctuation
ValueCountFrequency (%)
* 772
100.0%
Space Separator
ValueCountFrequency (%)
627
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2178
57.2%
Common 1523
40.0%
Latin 108
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 279
12.8%
성 246
11.3%
서 152
 
7.0%
울 152
 
7.0%
시 137
 
6.3%
특 135
 
6.2%
별 135
 
6.2%
구 135
 
6.2%
수 125
 
5.7%
가 107
 
4.9%
Other values (124) 575
26.4%
Latin
ValueCountFrequency (%)
R 9
 
8.3%
o 8
 
7.4%
T 8
 
7.4%
e 7
 
6.5%
E 7
 
6.5%
r 6
 
5.6%
O 6
 
5.6%
S 6
 
5.6%
K 6
 
5.6%
V 5
 
4.6%
Other values (20) 40
37.0%
Common
ValueCountFrequency (%)
* 772
50.7%
627
41.2%
- 109
 
7.2%
( 4
 
0.3%
) 4
 
0.3%
5 2
 
0.1%
1 1
 
0.1%
6 1
 
0.1%
8 1
 
0.1%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2178
57.2%
ASCII 1631
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 772
47.3%
627
38.4%
- 109
 
6.7%
R 9
 
0.6%
o 8
 
0.5%
T 8
 
0.5%
e 7
 
0.4%
E 7
 
0.4%
r 6
 
0.4%
O 6
 
0.4%
Other values (31) 72
 
4.4%
Hangul
ValueCountFrequency (%)
동 279
12.8%
성 246
11.3%
서 152
 
7.0%
울 152
 
7.0%
시 137
 
6.3%
특 135
 
6.2%
별 135
 
6.2%
구 135
 
6.2%
수 125
 
5.7%
가 107
 
4.9%
Other values (124) 575
26.4%

도로명주소
Text

MISSING 

Distinct118
Distinct (%)88.7%
Missing2
Missing (%)1.5%
Memory size1.2 KiB
2024-05-11T07:59:48.354707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length46
Mean length39.43609
Min length23

Characters and Unicode

Total characters5245
Distinct characters203
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)77.4%

Sample

1st row서울특별시 성동구 매봉**길 * (옥수동)
2nd row서울특별시 성동구 천호대로 *** (용답동,미라보타워 ***)
3rd row서울특별시 성동구 성덕정길 **-* (성수동*가,*층)
4th row서울특별시 성동구 고산자로 ***, ****호 (도선동,다남매타워)
5th row서울특별시 성동구 성수일로*길 **, *층 (성수동*가, 삼원빌딩)
ValueCountFrequency (%)
135
13.7%
서울특별시 133
13.5%
성동구 133
13.5%
성수동*가 93
 
9.5%
호 88
 
9.0%
층 56
 
5.7%
동 21
 
2.1%
옥수동 14
 
1.4%
서울숲*길 12
 
1.2%
서울숲 11
 
1.1%
Other values (156) 287
29.2%
2024-05-11T07:59:49.377149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 950
18.1%
852
16.2%
동 306
 
5.8%
성 275
 
5.2%
서 176
 
3.4%
울 168
 
3.2%
, 168
 
3.2%
수 155
 
3.0%
( 137
 
2.6%
) 137
 
2.6%
Other values (193) 1921
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2856
54.5%
Other Punctuation 1118
 
21.3%
Space Separator 852
 
16.2%
Open Punctuation 137
 
2.6%
Close Punctuation 137
 
2.6%
Uppercase Letter 73
 
1.4%
Lowercase Letter 39
 
0.7%
Dash Punctuation 28
 
0.5%
Decimal Number 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 306
 
10.7%
성 275
 
9.6%
서 176
 
6.2%
울 168
 
5.9%
수 155
 
5.4%
시 135
 
4.7%
구 133
 
4.7%
별 133
 
4.7%
특 133
 
4.7%
가 118
 
4.1%
Other values (152) 1124
39.4%
Uppercase Letter
ValueCountFrequency (%)
T 10
13.7%
R 9
12.3%
E 7
9.6%
O 6
 
8.2%
S 5
 
6.8%
K 5
 
6.8%
V 5
 
6.8%
W 5
 
6.8%
L 3
 
4.1%
C 3
 
4.1%
Other values (9) 15
20.5%
Lowercase Letter
ValueCountFrequency (%)
o 8
20.5%
e 7
17.9%
r 6
15.4%
w 4
10.3%
l 2
 
5.1%
t 2
 
5.1%
a 2
 
5.1%
h 2
 
5.1%
p 2
 
5.1%
m 2
 
5.1%
Other values (2) 2
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
8 1
20.0%
2 1
20.0%
4 1
20.0%
Other Punctuation
ValueCountFrequency (%)
* 950
85.0%
, 168
 
15.0%
Space Separator
ValueCountFrequency (%)
852
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2856
54.5%
Common 2277
43.4%
Latin 112
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 306
 
10.7%
성 275
 
9.6%
서 176
 
6.2%
울 168
 
5.9%
수 155
 
5.4%
시 135
 
4.7%
구 133
 
4.7%
별 133
 
4.7%
특 133
 
4.7%
가 118
 
4.1%
Other values (152) 1124
39.4%
Latin
ValueCountFrequency (%)
T 10
 
8.9%
R 9
 
8.0%
o 8
 
7.1%
e 7
 
6.2%
E 7
 
6.2%
O 6
 
5.4%
r 6
 
5.4%
S 5
 
4.5%
K 5
 
4.5%
V 5
 
4.5%
Other values (21) 44
39.3%
Common
ValueCountFrequency (%)
* 950
41.7%
852
37.4%
, 168
 
7.4%
( 137
 
6.0%
) 137
 
6.0%
- 28
 
1.2%
1 2
 
0.1%
8 1
 
< 0.1%
2 1
 
< 0.1%
4 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2856
54.5%
ASCII 2389
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 950
39.8%
852
35.7%
, 168
 
7.0%
( 137
 
5.7%
) 137
 
5.7%
- 28
 
1.2%
T 10
 
0.4%
R 9
 
0.4%
o 8
 
0.3%
e 7
 
0.3%
Other values (31) 83
 
3.5%
Hangul
ValueCountFrequency (%)
동 306
 
10.7%
성 275
 
9.6%
서 176
 
6.2%
울 168
 
5.9%
수 155
 
5.4%
시 135
 
4.7%
구 133
 
4.7%
별 133
 
4.7%
특 133
 
4.7%
가 118
 
4.1%
Other values (152) 1124
39.4%

도로명우편번호
Text

MISSING 

Distinct58
Distinct (%)44.6%
Missing5
Missing (%)3.7%
Memory size1.2 KiB
2024-05-11T07:59:49.831236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1384615
Min length5

Characters and Unicode

Total characters668
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

Unique33 ?
Unique (%)25.4%

Sample

1st row133100
2nd row133120
3rd row133120
4th row133110
5th row133840
ValueCountFrequency (%)
04768 10
 
7.7%
04778 9
 
6.9%
04783 7
 
5.4%
04793 6
 
4.6%
04779 5
 
3.8%
04790 5
 
3.8%
04782 4
 
3.1%
04799 4
 
3.1%
133120 4
 
3.1%
04775 4
 
3.1%
Other values (48) 72
55.4%
2024-05-11T07:59:50.653819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 141
21.1%
7 141
21.1%
4 128
19.2%
8 59
8.8%
3 57
8.5%
9 46
 
6.9%
1 34
 
5.1%
2 24
 
3.6%
6 22
 
3.3%
5 15
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 667
99.9%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 141
21.1%
7 141
21.1%
4 128
19.2%
8 59
8.8%
3 57
8.5%
9 46
 
6.9%
1 34
 
5.1%
2 24
 
3.6%
6 22
 
3.3%
5 15
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 668
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 141
21.1%
7 141
21.1%
4 128
19.2%
8 59
8.8%
3 57
8.5%
9 46
 
6.9%
1 34
 
5.1%
2 24
 
3.6%
6 22
 
3.3%
5 15
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 668
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 141
21.1%
7 141
21.1%
4 128
19.2%
8 59
8.8%
3 57
8.5%
9 46
 
6.9%
1 34
 
5.1%
2 24
 
3.6%
6 22
 
3.3%
5 15
 
2.2%

사업장명
Text

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-05-11T07:59:51.237287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length9.1555556
Min length2

Characters and Unicode

Total characters1236
Distinct characters238
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)100.0%

Sample

1st row상상봉
2nd row해바라기프로덕션
3rd row(주)드림웨스트픽쳐스
4th row(주)영화사 북극곰
5th row꾼(Kun) Production
ValueCountFrequency (%)
주식회사 47
 
22.5%
영화사 5
 
2.4%
엔터테인먼트 3
 
1.4%
스튜디오 2
 
1.0%
주 2
 
1.0%
상상봉 2
 
1.0%
주)플럼에이앤씨 1
 
0.5%
주)라이온픽처스 1
 
0.5%
화인 1
 
0.5%
주)토리엔터테인먼트 1
 
0.5%
Other values (144) 144
68.9%
2024-05-11T07:59:52.304123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 100
 
8.1%
74
 
6.0%
사 64
 
5.2%
( 55
 
4.4%
) 55
 
4.4%
회 48
 
3.9%
식 47
 
3.8%
스 41
 
3.3%
이 33
 
2.7%
트 29
 
2.3%
Other values (228) 690
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1014
82.0%
Space Separator 74
 
6.0%
Open Punctuation 55
 
4.4%
Close Punctuation 55
 
4.4%
Decimal Number 13
 
1.1%
Uppercase Letter 11
 
0.9%
Lowercase Letter 11
 
0.9%
Other Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 100
 
9.9%
사 64
 
6.3%
회 48
 
4.7%
식 47
 
4.6%
스 41
 
4.0%
이 33
 
3.3%
트 29
 
2.9%
디 19
 
1.9%
엔 19
 
1.9%
리 18
 
1.8%
Other values (200) 596
58.8%
Uppercase Letter
ValueCountFrequency (%)
L 2
18.2%
S 1
9.1%
B 1
9.1%
I 1
9.1%
E 1
9.1%
M 1
9.1%
A 1
9.1%
F 1
9.1%
K 1
9.1%
P 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
u 2
18.2%
o 2
18.2%
n 2
18.2%
i 1
9.1%
r 1
9.1%
d 1
9.1%
c 1
9.1%
t 1
9.1%
Decimal Number
ValueCountFrequency (%)
3 4
30.8%
6 2
15.4%
2 2
15.4%
1 2
15.4%
0 2
15.4%
4 1
 
7.7%
Space Separator
ValueCountFrequency (%)
74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1017
82.3%
Common 197
 
15.9%
Latin 22
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 100
 
9.8%
사 64
 
6.3%
회 48
 
4.7%
식 47
 
4.6%
스 41
 
4.0%
이 33
 
3.2%
트 29
 
2.9%
디 19
 
1.9%
엔 19
 
1.9%
리 18
 
1.8%
Other values (201) 599
58.9%
Latin
ValueCountFrequency (%)
L 2
 
9.1%
u 2
 
9.1%
o 2
 
9.1%
n 2
 
9.1%
S 1
 
4.5%
B 1
 
4.5%
I 1
 
4.5%
E 1
 
4.5%
M 1
 
4.5%
A 1
 
4.5%
Other values (8) 8
36.4%
Common
ValueCountFrequency (%)
74
37.6%
( 55
27.9%
) 55
27.9%
3 4
 
2.0%
6 2
 
1.0%
2 2
 
1.0%
1 2
 
1.0%
0 2
 
1.0%
4 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1014
82.0%
ASCII 219
 
17.7%
None 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 100
 
9.9%
사 64
 
6.3%
회 48
 
4.7%
식 47
 
4.6%
스 41
 
4.0%
이 33
 
3.3%
트 29
 
2.9%
디 19
 
1.9%
엔 19
 
1.9%
리 18
 
1.8%
Other values (200) 596
58.8%
ASCII
ValueCountFrequency (%)
74
33.8%
( 55
25.1%
) 55
25.1%
3 4
 
1.8%
L 2
 
0.9%
6 2
 
0.9%
2 2
 
0.9%
1 2
 
0.9%
0 2
 
0.9%
u 2
 
0.9%
Other values (17) 19
 
8.7%
None
ValueCountFrequency (%)
㈜ 3
100.0%

최종수정일자
Date

UNIQUE 

Distinct135
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2011-05-09 11:18:25
Maximum2024-04-22 11:09:22
2024-05-11T07:59:52.765651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:59:53.238869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
I
84 
U
51 

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 84
62.2%
U 51
37.8%

Length

2024-05-11T07:59:53.711918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:53.984660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 84
62.2%
u 51
37.8%

데이터갱신일자
Date

Distinct95
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-04 00:04:00
2024-05-11T07:59:54.320124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T07:59:54.660410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

좌표정보(X)
Real number (ℝ)

Distinct101
Distinct (%)75.4%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean203888.09
Minimum200782.35
Maximum205993.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T07:59:55.065125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200782.35
5-th percentile201166.38
Q1203577.68
median204167.72
Q3204797.69
95-th percentile205365.79
Maximum205993.62
Range5211.2656
Interquartile range (IQR)1220.0136

Descriptive statistics

Standard deviation1263.6388
Coefficient of variation (CV)0.0061977077
Kurtosis0.12689692
Mean203888.09
Median Absolute Deviation (MAD)628.66178
Skewness-0.97825643
Sum27321005
Variance1596783.1
MonotonicityNot monotonic
2024-05-11T07:59:55.505297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203650.302114567 5
 
3.7%
204339.630102839 4
 
3.0%
205014.436191811 3
 
2.2%
205039.907145725 3
 
2.2%
204495.650175932 3
 
2.2%
203994.658040173 3
 
2.2%
204167.721292495 2
 
1.5%
201942.154683334 2
 
1.5%
203903.353552789 2
 
1.5%
204966.098616157 2
 
1.5%
Other values (91) 105
77.8%
ValueCountFrequency (%)
200782.353831759 1
0.7%
200896.532906303 1
0.7%
200951.206580662 2
1.5%
201084.516502 1
0.7%
201157.877298502 2
1.5%
201170.960314149 1
0.7%
201181.598996876 1
0.7%
201366.036667659 1
0.7%
201381.261390607 1
0.7%
201415.07880648 1
0.7%
ValueCountFrequency (%)
205993.619464918 1
0.7%
205773.876761108 1
0.7%
205684.470374768 1
0.7%
205646.113813184 1
0.7%
205638.676388032 1
0.7%
205527.887051222 1
0.7%
205402.082998348 1
0.7%
205346.246613591 1
0.7%
205274.521963137 1
0.7%
205191.945639108 1
0.7%

좌표정보(Y)
Real number (ℝ)

Distinct101
Distinct (%)75.4%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean449456.05
Minimum448233.18
Maximum451627.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T07:59:55.906789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448233.18
5-th percentile448630.11
Q1448964.63
median449300.93
Q3449563.28
95-th percentile451124.16
Maximum451627.41
Range3394.2317
Interquartile range (IQR)598.64508

Descriptive statistics

Standard deviation748.95529
Coefficient of variation (CV)0.0016663593
Kurtosis1.4514763
Mean449456.05
Median Absolute Deviation (MAD)300.00813
Skewness1.3675268
Sum60227111
Variance560934.02
MonotonicityNot monotonic
2024-05-11T07:59:56.331648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
449461.25849726 5
 
3.7%
449469.505136008 4
 
3.0%
448961.208329966 3
 
2.2%
449216.223655036 3
 
2.2%
449405.611643886 3
 
2.2%
449552.049448345 3
 
2.2%
449290.778225677 2
 
1.5%
450263.922331181 2
 
1.5%
448846.820248719 2
 
1.5%
449159.452779834 2
 
1.5%
Other values (91) 105
77.8%
ValueCountFrequency (%)
448233.181754563 1
0.7%
448401.981843555 2
1.5%
448433.787740187 1
0.7%
448449.876939047 1
0.7%
448508.756036449 1
0.7%
448609.588125745 1
0.7%
448641.165627602 1
0.7%
448659.767345547 1
0.7%
448669.043360044 1
0.7%
448701.40145153 2
1.5%
ValueCountFrequency (%)
451627.413501739 1
0.7%
451580.702168966 1
0.7%
451553.461590274 1
0.7%
451468.504506561 1
0.7%
451461.526909724 1
0.7%
451354.099295062 1
0.7%
451129.534619118 1
0.7%
451121.27351231 1
0.7%
451119.695239097 1
0.7%
451094.899387975 1
0.7%

문화체육업종명
Categorical

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영화제작업
91 
<NA>
44 

Length

Max length5
Median length5
Mean length4.6740741
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화제작업 91
67.4%
<NA> 44
32.6%

Length

2024-05-11T07:59:56.687412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:57.161768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화제작업 91
67.4%
na 44
32.6%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
122 
0
13 

Length

Max length4
Median length4
Mean length3.7111111
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> 122
90.4%
0 13
 
9.6%

Length

2024-05-11T07:59:57.409648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:57.629317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
90.4%
0 13
 
9.6%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
122 
0
13 

Length

Max length4
Median length4
Mean length3.7111111
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> 122
90.4%
0 13
 
9.6%

Length

2024-05-11T07:59:57.969936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:58.277119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
90.4%
0 13
 
9.6%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
122 
0
13 

Length

Max length4
Median length4
Mean length3.7111111
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> 122
90.4%
0 13
 
9.6%

Length

2024-05-11T07:59:58.642884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:59.027094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
90.4%
0 13
 
9.6%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
122 
0
13 

Length

Max length4
Median length4
Mean length3.7111111
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> 122
90.4%
0 13
 
9.6%

Length

2024-05-11T07:59:59.485677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T07:59:59.814106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
90.4%
0 13
 
9.6%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
122 
0
13 

Length

Max length4
Median length4
Mean length3.7111111
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> 122
90.4%
0 13
 
9.6%

Length

2024-05-11T08:00:00.167904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:00:00.494186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
90.4%
0 13
 
9.6%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
122 
0
13 

Length

Max length4
Median length4
Mean length3.7111111
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> 122
90.4%
0 13
 
9.6%

Length

2024-05-11T08:00:00.862962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:00:01.186916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
90.4%
0 13
 
9.6%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
122 
0
13 

Length

Max length4
Median length4
Mean length3.7111111
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> 122
90.4%
0 13
 
9.6%

Length

2024-05-11T08:00:01.541597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:00:01.822874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
90.4%
0 13
 
9.6%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
122 
0
13 

Length

Max length4
Median length4
Mean length3.7111111
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> 122
90.4%
0 13
 
9.6%

Length

2024-05-11T08:00:02.229873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:00:02.540492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
90.4%
0 13
 
9.6%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
122 
0
13 

Length

Max length4
Median length4
Mean length3.7111111
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> 122
90.4%
0 13
 
9.6%

Length

2024-05-11T08:00:02.920254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:00:03.238261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 122
90.4%
0 13
 
9.6%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

최초등록시점
Real number (ℝ)

MISSING 

Distinct90
Distinct (%)98.9%
Missing44
Missing (%)32.6%
Infinite0
Infinite (%)0.0%
Mean20160836
Minimum20070621
Maximum20220310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-05-11T08:00:03.606978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20070621
5-th percentile20090662
Q120130623
median20160926
Q320195718
95-th percentile20220122
Maximum20220310
Range149689
Interquartile range (IQR)65094.5

Descriptive statistics

Standard deviation40850.952
Coefficient of variation (CV)0.0020262529
Kurtosis-0.85215965
Mean20160836
Median Absolute Deviation (MAD)30398
Skewness-0.37547835
Sum1.8346361 × 109
Variance1.6688003 × 109
MonotonicityNot monotonic
2024-05-11T08:00:03.992915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20110509 2
 
1.5%
20190903 1
 
0.7%
20200630 1
 
0.7%
20200528 1
 
0.7%
20200422 1
 
0.7%
20200330 1
 
0.7%
20101022 1
 
0.7%
20200309 1
 
0.7%
20151109 1
 
0.7%
20191126 1
 
0.7%
Other values (80) 80
59.3%
(Missing) 44
32.6%
ValueCountFrequency (%)
20070621 1
0.7%
20071204 1
0.7%
20080804 1
0.7%
20081212 1
0.7%
20090303 1
0.7%
20091021 1
0.7%
20100223 1
0.7%
20100623 1
0.7%
20100728 1
0.7%
20100927 1
0.7%
ValueCountFrequency (%)
20220310 1
0.7%
20220223 1
0.7%
20220207 1
0.7%
20220204 1
0.7%
20220127 1
0.7%
20220117 1
0.7%
20210923 1
0.7%
20210910 1
0.7%
20210617 1
0.7%
20210602 1
0.7%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing135
Missing (%)100.0%
Memory size1.3 KiB

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03030000CDFF521101200800000120080804<NA>3폐업3폐업20150831<NA><NA><NA><NA><NA><NA>서울특별시 성동구 옥수동 ***-**번지서울특별시 성동구 매봉**길 * (옥수동)133100상상봉2015-08-31 15:27:30I2018-08-31 23:59:59.0<NA>201084.516502449593.606119영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20080804<NA>
13030000CDFF521101201000000220100623<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 용답동 ***-*번지 미라보타워 ***서울특별시 성동구 천호대로 *** (용답동,미라보타워 ***)<NA>해바라기프로덕션2015-03-03 09:09:20I2018-08-31 23:59:59.0<NA>205184.716063451050.148325영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20100623<NA>
23030000CDFF521101201000000320100927<NA>3폐업3폐업20110621<NA><NA><NA>070-8650-3744<NA><NA>서울특별시 성동구 도선동 신한넥스텔 ***호<NA><NA>(주)드림웨스트픽쳐스2011-06-21 09:32:42I2018-08-31 23:59:59.0<NA><NA><NA>영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20100927<NA>
33030000CDFF521101201100000220110509<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***번지 *층서울특별시 성동구 성덕정길 **-* (성수동*가,*층)<NA>(주)영화사 북극곰2011-05-09 11:18:25I2018-08-31 23:59:59.0<NA>204458.194125448433.78774영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110509<NA>
43030000CDFF521101201100000320110509<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 하왕십리동 ***번지 한신무학아파트 *동 ****호<NA><NA>꾼(Kun) Production2011-05-09 14:40:56I2018-08-31 23:59:59.0<NA>202437.643551451119.695239영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110509<NA>
53030000CDFF521101201100000420110824<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 **-*번지 다남매타워 ****호서울특별시 성동구 고산자로 ***, ****호 (도선동,다남매타워)<NA>주식회사 풍경소리2011-08-24 16:19:41I2018-08-31 23:59:59.0<NA>203077.751687451121.273512영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20110824<NA>
63030000CDFF521101201100000720091021<NA>3폐업34영업장폐쇄20140219<NA><NA><NA>02-469-0466<NA><NA>서울특별시 성동구 성수동*가 ***-*번지 삼원빌딩 *층서울특별시 성동구 성수일로*길 **, *층 (성수동*가, 삼원빌딩)133120㈜대영빛결2014-02-19 11:03:40I2018-08-31 23:59:59.0<NA>204795.724219449236.498494영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20091021<NA>
73030000CDFF521101201200000120120314<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6393-6556<NA><NA>서울특별시 성동구 성수동*가 ***-***번지 대양빌딩서울특별시 성동구 아차산로*길 **-** (성수동*가, 대양빌딩)133120그린라이트미디어(주)2012-03-14 11:29:57I2018-08-31 23:59:59.0<NA>204682.445425449414.713613영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120314<NA>
83030000CDFF521101201200000320120501<NA>3폐업3폐업20210107<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-*** *층서울특별시 성동구 서울숲*길 **-*, *층 (성수동*가)133110시네마팩토리2021-01-15 16:48:28U2021-01-17 02:40:00.0<NA>203763.940963449324.659477영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120501<NA>
93030000CDFF521101201300000120130426<NA>1영업/정상13영업중<NA><NA><NA><NA>070-7794-9191<NA><NA>서울특별시 성동구 옥수동 ***-*번지서울특별시 성동구 한림말*길 지하 **, *호 (옥수동)133840호기심 스튜디오2013-04-26 16:13:18I2018-08-31 23:59:59.0<NA>201381.261391449003.64716영화제작업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20130426<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
1253030000CDFF52110120230000082000-01-28<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3445-6196<NA><NA>서울특별시 성동구 성수동*가 ***-***서울특별시 성동구 서울숲*길 ** (성수동*가)04768(주)영화사봄2023-04-13 17:38:20I2022-12-03 23:05:00.0<NA>203626.574031449403.443055<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1263030000CDFF52110120230000092023-04-17<NA>5제외/삭제/전출15전출2023-09-22<NA><NA><NA><NA><NA><NA>서울특별시 성동구 옥수동 ***-*서울특별시 성동구 독서당로**길 *-*, *층 (옥수동)04739플레임 (FLAME)2023-09-22 10:08:08U2022-12-08 22:04:00.0<NA>201475.220359449149.018922<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1273030000CDFF52110120230000102023-05-31<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-***서울특별시 성동구 왕십리로**길 **, *층 *호 (성수동*가)04778(주)스튜디오 수2023-11-08 15:45:03U2022-10-31 23:00:00.0<NA>203981.671552449375.617467<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1283030000CDFF52110120230000112023-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-*** 성수리치빌서울특별시 성동구 광나루로*가길 **, *층 ***호 (성수동*가, 성수리치빌)04792시즌앤워크2023-06-14 17:43:35I2022-12-05 23:06:00.0<NA>204680.947544449606.284635<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1293030000CDFF52110120230000122023-08-10<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 서울숲 한라에코밸리서울특별시 성동구 뚝섬로*길 **, 서울숲 한라에코밸리 *층 ***호 (성수동*가)04778주식회사 메가히트픽쳐스2023-08-10 15:25:02I2022-12-07 23:02:00.0<NA>204022.268076449043.715924<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1303030000CDFF52110120230000132018-08-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 송정동 **-***서울특별시 성동구 송정*길 *, *층 (송정동)04801주식회사 트리플픽쳐스2023-09-19 12:50:04I2022-12-08 22:01:00.0<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>
1313030000CDFF52110120240000022021-03-09<NA>5제외/삭제/전출15전출2024-04-22<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-*** 동아아파트서울특별시 성동구 왕십리로 **, **동 ***호 (성수동*가, 동아아파트)04778기린놀이터2024-04-22 11:09:22U2023-12-03 22:04:00.0<NA>203991.150029449125.271546<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1323030000CDFF52110120240000032021-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 우리큐브서울특별시 성동구 연무장**길 **, 우리큐브 *층 ***호 (성수동*가)04783주식회사 스토리엔진2024-03-06 14:03:55I2023-12-03 00:08:00.0<NA>205014.436192448961.20833<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1333030000CDFF52110120240000042024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-*** 서울숲비즈포레서울특별시 성동구 왕십리로**길 *, 서울숲비즈포레 ***호 (성수동*가)04778주식회사 유어퍼스트필름2024-04-09 10:11:06I2023-12-03 23:01:00.0<NA>203932.128445449386.913262<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1343030000CDFF52110120240000052024-04-09<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** J**서울특별시 성동구 광나루로*가길 **, J** *층 ***호 (성수동*가)04792주식회사 로드쇼플러스2024-04-09 18:03:23I2023-12-03 23:01:00.0<NA>204823.873924449619.946738<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>