Overview

Dataset statistics

Number of variables56
Number of observations40
Missing cells1151
Missing cells (%)51.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.3 KiB
Average record size in memory494.3 B

Variable types

Categorical16
Text6
DateTime3
Unsupported27
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-17705/S/1/datasetView.do

Alerts

개방자치단체코드 has constant value ""Constant
총층수 is highly imbalanced (83.1%)Imbalance
시설면적 is highly imbalanced (83.1%)Imbalance
지상층수 is highly imbalanced (83.1%)Imbalance
지하층수 is highly imbalanced (83.1%)Imbalance
통로너비 is highly imbalanced (83.1%)Imbalance
조명시설조도 is highly imbalanced (83.1%)Imbalance
노래방실수 is highly imbalanced (83.1%)Imbalance
청소년실수 is highly imbalanced (83.1%)Imbalance
총게임기수 is highly imbalanced (83.1%)Imbalance
인허가취소일자 has 40 (100.0%) missing valuesMissing
폐업일자 has 29 (72.5%) missing valuesMissing
휴업시작일자 has 40 (100.0%) missing valuesMissing
휴업종료일자 has 40 (100.0%) missing valuesMissing
재개업일자 has 40 (100.0%) missing valuesMissing
전화번호 has 26 (65.0%) missing valuesMissing
소재지면적 has 40 (100.0%) missing valuesMissing
소재지우편번호 has 40 (100.0%) missing valuesMissing
도로명주소 has 1 (2.5%) missing valuesMissing
도로명우편번호 has 2 (5.0%) missing valuesMissing
업태구분명 has 40 (100.0%) missing valuesMissing
좌표정보(X) has 1 (2.5%) missing valuesMissing
좌표정보(Y) has 1 (2.5%) missing valuesMissing
문화사업자구분명 has 40 (100.0%) missing valuesMissing
주변환경명 has 40 (100.0%) missing valuesMissing
제작취급품목내용 has 40 (100.0%) missing valuesMissing
건물용도명 has 40 (100.0%) missing valuesMissing
비상계단여부 has 40 (100.0%) missing valuesMissing
비상구여부 has 40 (100.0%) missing valuesMissing
자동환기여부 has 40 (100.0%) missing valuesMissing
청소년실여부 has 40 (100.0%) missing valuesMissing
특수조명여부 has 40 (100.0%) missing valuesMissing
방음시설여부 has 40 (100.0%) missing valuesMissing
비디오재생기명 has 40 (100.0%) missing valuesMissing
조명시설유무 has 40 (100.0%) missing valuesMissing
음향시설여부 has 40 (100.0%) missing valuesMissing
편의시설여부 has 40 (100.0%) missing valuesMissing
소방시설여부 has 40 (100.0%) missing valuesMissing
기존게임업외업종명 has 40 (100.0%) missing valuesMissing
제공게임물명 has 40 (100.0%) missing valuesMissing
공연장형태구분명 has 40 (100.0%) missing valuesMissing
품목명 has 40 (100.0%) missing valuesMissing
최초등록시점 has 11 (27.5%) missing valuesMissing
지역구분명 has 40 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
인허가일자 has unique valuesUnique
사업장명 has unique valuesUnique
최종수정일자 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
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 started2024-04-06 10:51:03.006590
Analysis finished2024-04-06 10:51:03.974576
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

개방자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
3030000
40 

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 40
100.0%

Length

2024-04-06T19:51:04.099076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:04.255920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3030000 40
100.0%

관리번호
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-06T19:51:04.566885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters800
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

Unique40 ?
Unique (%)100.0%

Sample

1st rowCDFF5211022010000001
2nd rowCDFF5211022011000001
3rd rowCDFF5211022012000001
4th rowCDFF5211022013000001
5th rowCDFF5211022013000002
ValueCountFrequency (%)
cdff5211022010000001 1
 
2.5%
cdff5211022011000001 1
 
2.5%
cdff5211022021000002 1
 
2.5%
cdff5211022019000001 1
 
2.5%
cdff5211022019000002 1
 
2.5%
cdff5211022020000001 1
 
2.5%
cdff5211022020000002 1
 
2.5%
cdff5211022020000003 1
 
2.5%
cdff5211022020000004 1
 
2.5%
cdff5211022021000001 1
 
2.5%
Other values (30) 30
75.0%
2024-04-06T19:51:05.227138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 285
35.6%
2 150
18.8%
1 123
15.4%
F 80
 
10.0%
5 47
 
5.9%
C 40
 
5.0%
D 40
 
5.0%
3 12
 
1.5%
6 8
 
1.0%
4 7
 
0.9%
Other values (3) 8
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
80.0%
Uppercase Letter 160
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 285
44.5%
2 150
23.4%
1 123
19.2%
5 47
 
7.3%
3 12
 
1.9%
6 8
 
1.2%
4 7
 
1.1%
8 4
 
0.6%
7 2
 
0.3%
9 2
 
0.3%
Uppercase Letter
ValueCountFrequency (%)
F 80
50.0%
C 40
25.0%
D 40
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 640
80.0%
Latin 160
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 285
44.5%
2 150
23.4%
1 123
19.2%
5 47
 
7.3%
3 12
 
1.9%
6 8
 
1.2%
4 7
 
1.1%
8 4
 
0.6%
7 2
 
0.3%
9 2
 
0.3%
Latin
ValueCountFrequency (%)
F 80
50.0%
C 40
25.0%
D 40
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 285
35.6%
2 150
18.8%
1 123
15.4%
F 80
 
10.0%
5 47
 
5.9%
C 40
 
5.0%
D 40
 
5.0%
3 12
 
1.5%
6 8
 
1.0%
4 7
 
0.9%
Other values (3) 8
 
1.0%

인허가일자
Date

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2007-01-09 00:00:00
Maximum2023-08-10 00:00:00
2024-04-06T19:51:05.533451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:51:05.793486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

영업상태코드
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
1
29 
3
9 
5
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 29
72.5%
3 9
 
22.5%
5 2
 
5.0%

Length

2024-04-06T19:51:06.069860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:06.304946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
72.5%
3 9
 
22.5%
5 2
 
5.0%

영업상태명
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
영업/정상
29 
폐업
9 
제외/삭제/전출
 
2

Length

Max length8
Median length5
Mean length4.475
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 29
72.5%
폐업 9
 
22.5%
제외/삭제/전출 2
 
5.0%

Length

2024-04-06T19:51:06.581557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:06.830686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 29
72.5%
폐업 9
 
22.5%
제외/삭제/전출 2
 
5.0%

상세영업상태코드
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
13
29 
3
9 
15
 
2

Length

Max length2
Median length2
Mean length1.775
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 29
72.5%
3 9
 
22.5%
15 2
 
5.0%

Length

2024-04-06T19:51:07.050489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:07.256973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 29
72.5%
3 9
 
22.5%
15 2
 
5.0%

상세영업상태명
Categorical

Distinct3
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
영업중
29 
폐업
9 
전출
 
2

Length

Max length3
Median length3
Mean length2.725
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 29
72.5%
폐업 9
 
22.5%
전출 2
 
5.0%

Length

2024-04-06T19:51:07.528257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:07.795057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 29
72.5%
폐업 9
 
22.5%
전출 2
 
5.0%

폐업일자
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing29
Missing (%)72.5%
Memory size452.0 B
2024-04-06T19:51:08.088771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.3636364
Min length8

Characters and Unicode

Total characters92
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)100.0%

Sample

1st row20110621
2nd row20180122
3rd row20220117
4th row20151218
5th row20161013
ValueCountFrequency (%)
20110621 1
9.1%
20180122 1
9.1%
20220117 1
9.1%
20151218 1
9.1%
20161013 1
9.1%
20181016 1
9.1%
20180314 1
9.1%
20221111 1
9.1%
20210324 1
9.1%
9999-12-31 1
9.1%
2024-04-06T19:51:08.575643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 25
27.2%
2 22
23.9%
0 19
20.7%
3 5
 
5.4%
6 4
 
4.3%
8 4
 
4.3%
9 4
 
4.3%
- 4
 
4.3%
4 3
 
3.3%
7 1
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88
95.7%
Dash Punctuation 4
 
4.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 25
28.4%
2 22
25.0%
0 19
21.6%
3 5
 
5.7%
6 4
 
4.5%
8 4
 
4.5%
9 4
 
4.5%
4 3
 
3.4%
7 1
 
1.1%
5 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 92
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 25
27.2%
2 22
23.9%
0 19
20.7%
3 5
 
5.4%
6 4
 
4.3%
8 4
 
4.3%
9 4
 
4.3%
- 4
 
4.3%
4 3
 
3.3%
7 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 25
27.2%
2 22
23.9%
0 19
20.7%
3 5
 
5.4%
6 4
 
4.3%
8 4
 
4.3%
9 4
 
4.3%
- 4
 
4.3%
4 3
 
3.3%
7 1
 
1.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

전화번호
Text

MISSING 

Distinct13
Distinct (%)92.9%
Missing26
Missing (%)65.0%
Memory size452.0 B
2024-04-06T19:51:08.860089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.857143
Min length9

Characters and Unicode

Total characters166
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)85.7%

Sample

1st row070-8650-5240
2nd row02-6393-6556
3rd row070-7560-8285
4th row04-461-2907
5th row02-5692014
ValueCountFrequency (%)
02-6320-8500 2
14.3%
070-8650-5240 1
 
7.1%
02-6393-6556 1
 
7.1%
070-7560-8285 1
 
7.1%
04-461-2907 1
 
7.1%
02-5692014 1
 
7.1%
2106-2766 1
 
7.1%
070-4327-5933 1
 
7.1%
02-6216-6000 1
 
7.1%
070-4230-8676 1
 
7.1%
Other values (3) 3
21.4%
2024-04-06T19:51:09.367396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
22.3%
- 26
15.7%
6 19
11.4%
2 18
10.8%
7 14
 
8.4%
5 12
 
7.2%
3 11
 
6.6%
8 9
 
5.4%
1 9
 
5.4%
4 7
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 140
84.3%
Dash Punctuation 26
 
15.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
26.4%
6 19
13.6%
2 18
12.9%
7 14
 
10.0%
5 12
 
8.6%
3 11
 
7.9%
8 9
 
6.4%
1 9
 
6.4%
4 7
 
5.0%
9 4
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 166
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
22.3%
- 26
15.7%
6 19
11.4%
2 18
10.8%
7 14
 
8.4%
5 12
 
7.2%
3 11
 
6.6%
8 9
 
5.4%
1 9
 
5.4%
4 7
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37
22.3%
- 26
15.7%
6 19
11.4%
2 18
10.8%
7 14
 
8.4%
5 12
 
7.2%
3 11
 
6.6%
8 9
 
5.4%
1 9
 
5.4%
4 7
 
4.2%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

소재지우편번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

지번주소
Text

Distinct36
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-06T19:51:09.694831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length27.425
Min length16

Characters and Unicode

Total characters1097
Distinct characters117
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

Unique33 ?
Unique (%)82.5%

Sample

1st row서울특별시 성동구 도선동 신한넥스텔 ***호
2nd row서울특별시 성동구 도선동 **-*번지 다남매타워 ****호
3rd row서울특별시 성동구 성수동*가 ***-***번지 대양빌딩
4th row서울특별시 성동구 옥수동 ***번지 옥수극동상가 *층 ***호
5th row서울특별시 성동구 옥수동 ***-**번지 풍림빌딩 ***호
ValueCountFrequency (%)
서울특별시 40
20.1%
성동구 40
20.1%
성수동*가 22
11.1%
19
9.5%
번지 18
9.0%
도선동 5
 
2.5%
옥수동 5
 
2.5%
호 4
 
2.0%
성수역 3
 
1.5%
성수동2가 2
 
1.0%
Other values (35) 41
20.6%
2024-04-06T19:51:10.342827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 201
18.3%
186
17.0%
동 81
 
7.4%
성 70
 
6.4%
서 41
 
3.7%
울 41
 
3.7%
특 40
 
3.6%
별 40
 
3.6%
시 40
 
3.6%
구 40
 
3.6%
Other values (107) 317
28.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 617
56.2%
Other Punctuation 201
 
18.3%
Space Separator 186
 
17.0%
Dash Punctuation 30
 
2.7%
Uppercase Letter 23
 
2.1%
Lowercase Letter 22
 
2.0%
Decimal Number 16
 
1.5%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 81
13.1%
성 70
11.3%
서 41
 
6.6%
울 41
 
6.6%
특 40
 
6.5%
별 40
 
6.5%
시 40
 
6.5%
구 40
 
6.5%
수 35
 
5.7%
가 27
 
4.4%
Other values (73) 162
26.3%
Lowercase Letter
ValueCountFrequency (%)
e 4
18.2%
o 4
18.2%
r 3
13.6%
l 2
9.1%
w 2
9.1%
h 1
 
4.5%
p 1
 
4.5%
m 1
 
4.5%
a 1
 
4.5%
t 1
 
4.5%
Other values (2) 2
9.1%
Uppercase Letter
ValueCountFrequency (%)
R 4
17.4%
T 2
8.7%
V 2
8.7%
N 2
8.7%
O 2
8.7%
C 2
8.7%
E 2
8.7%
K 2
8.7%
S 2
8.7%
W 1
 
4.3%
Other values (2) 2
8.7%
Decimal Number
ValueCountFrequency (%)
5 4
25.0%
0 4
25.0%
2 4
25.0%
3 2
12.5%
7 2
12.5%
Other Punctuation
ValueCountFrequency (%)
* 201
100.0%
Space Separator
ValueCountFrequency (%)
186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 617
56.2%
Common 435
39.7%
Latin 45
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 81
13.1%
성 70
11.3%
서 41
 
6.6%
울 41
 
6.6%
특 40
 
6.5%
별 40
 
6.5%
시 40
 
6.5%
구 40
 
6.5%
수 35
 
5.7%
가 27
 
4.4%
Other values (73) 162
26.3%
Latin
ValueCountFrequency (%)
e 4
 
8.9%
R 4
 
8.9%
o 4
 
8.9%
r 3
 
6.7%
T 2
 
4.4%
l 2
 
4.4%
w 2
 
4.4%
V 2
 
4.4%
N 2
 
4.4%
O 2
 
4.4%
Other values (14) 18
40.0%
Common
ValueCountFrequency (%)
* 201
46.2%
186
42.8%
- 30
 
6.9%
5 4
 
0.9%
0 4
 
0.9%
2 4
 
0.9%
3 2
 
0.5%
7 2
 
0.5%
) 1
 
0.2%
( 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 617
56.2%
ASCII 480
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 201
41.9%
186
38.8%
- 30
 
6.2%
e 4
 
0.8%
R 4
 
0.8%
5 4
 
0.8%
0 4
 
0.8%
2 4
 
0.8%
o 4
 
0.8%
r 3
 
0.6%
Other values (24) 36
 
7.5%
Hangul
ValueCountFrequency (%)
동 81
13.1%
성 70
11.3%
서 41
 
6.6%
울 41
 
6.6%
특 40
 
6.5%
별 40
 
6.5%
시 40
 
6.5%
구 40
 
6.5%
수 35
 
5.7%
가 27
 
4.4%
Other values (73) 162
26.3%

도로명주소
Text

MISSING 

Distinct36
Distinct (%)92.3%
Missing1
Missing (%)2.5%
Memory size452.0 B
2024-04-06T19:51:10.749378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length44
Mean length39.358974
Min length26

Characters and Unicode

Total characters1535
Distinct characters152
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

Unique34 ?
Unique (%)87.2%

Sample

1st row서울특별시 성동구 고산자로 ***, ****호 (도선동,다남매타워)
2nd row서울특별시 성동구 아차산로*길 **-** (성수동*가, 대양빌딩)
3rd row서울특별시 성동구 독서당로 *** (옥수동, 옥수극동상가 *층 ***호)
4th row서울특별시 성동구 독서당로 *** (옥수동, 풍림빌딩 ***호)
5th row서울특별시 성동구 성수일로 **, ***호 (성수동*가, 서울숲 IT 밸리)
ValueCountFrequency (%)
서울특별시 39
13.5%
성동구 39
13.5%
37
 
12.8%
호 28
 
9.7%
성수동*가 22
 
7.6%
층 10
 
3.5%
성수일로 6
 
2.1%
옥수동 5
 
1.7%
서울숲 4
 
1.4%
동 4
 
1.4%
Other values (71) 95
32.9%
2024-04-06T19:51:11.471986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 257
16.7%
251
16.4%
동 86
 
5.6%
성 76
 
5.0%
, 53
 
3.5%
서 47
 
3.1%
울 44
 
2.9%
수 43
 
2.8%
( 40
 
2.6%
) 40
 
2.6%
Other values (142) 598
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 822
53.6%
Other Punctuation 310
 
20.2%
Space Separator 251
 
16.4%
Open Punctuation 40
 
2.6%
Close Punctuation 40
 
2.6%
Uppercase Letter 31
 
2.0%
Lowercase Letter 22
 
1.4%
Decimal Number 12
 
0.8%
Dash Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 86
 
10.5%
성 76
 
9.2%
서 47
 
5.7%
울 44
 
5.4%
수 43
 
5.2%
구 39
 
4.7%
시 39
 
4.7%
별 39
 
4.7%
특 39
 
4.7%
호 33
 
4.0%
Other values (105) 337
41.0%
Uppercase Letter
ValueCountFrequency (%)
T 5
16.1%
R 4
12.9%
I 3
9.7%
K 2
 
6.5%
S 2
 
6.5%
N 2
 
6.5%
B 2
 
6.5%
E 2
 
6.5%
O 2
 
6.5%
V 2
 
6.5%
Other values (4) 5
16.1%
Lowercase Letter
ValueCountFrequency (%)
o 4
18.2%
e 4
18.2%
r 3
13.6%
w 2
9.1%
l 2
9.1%
t 1
 
4.5%
a 1
 
4.5%
z 1
 
4.5%
i 1
 
4.5%
h 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
1 4
33.3%
0 2
16.7%
2 2
16.7%
5 2
16.7%
8 2
16.7%
Other Punctuation
ValueCountFrequency (%)
* 257
82.9%
, 53
 
17.1%
Space Separator
ValueCountFrequency (%)
251
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 822
53.6%
Common 660
43.0%
Latin 53
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 86
 
10.5%
성 76
 
9.2%
서 47
 
5.7%
울 44
 
5.4%
수 43
 
5.2%
구 39
 
4.7%
시 39
 
4.7%
별 39
 
4.7%
특 39
 
4.7%
호 33
 
4.0%
Other values (105) 337
41.0%
Latin
ValueCountFrequency (%)
T 5
 
9.4%
R 4
 
7.5%
o 4
 
7.5%
e 4
 
7.5%
r 3
 
5.7%
I 3
 
5.7%
K 2
 
3.8%
S 2
 
3.8%
N 2
 
3.8%
B 2
 
3.8%
Other values (16) 22
41.5%
Common
ValueCountFrequency (%)
* 257
38.9%
251
38.0%
, 53
 
8.0%
( 40
 
6.1%
) 40
 
6.1%
- 7
 
1.1%
1 4
 
0.6%
0 2
 
0.3%
2 2
 
0.3%
5 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 822
53.6%
ASCII 713
46.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 257
36.0%
251
35.2%
, 53
 
7.4%
( 40
 
5.6%
) 40
 
5.6%
- 7
 
1.0%
T 5
 
0.7%
R 4
 
0.6%
o 4
 
0.6%
e 4
 
0.6%
Other values (27) 48
 
6.7%
Hangul
ValueCountFrequency (%)
동 86
 
10.5%
성 76
 
9.2%
서 47
 
5.7%
울 44
 
5.4%
수 43
 
5.2%
구 39
 
4.7%
시 39
 
4.7%
별 39
 
4.7%
특 39
 
4.7%
호 33
 
4.0%
Other values (105) 337
41.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)68.4%
Missing2
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean18314.132
Minimum4701
Maximum133839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-06T19:51:11.671785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4701
5-th percentile4706.7
Q14771.25
median4783
Q34793
95-th percentile133216.9
Maximum133839
Range129138
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation40019.4
Coefficient of variation (CV)2.185165
Kurtosis5.4648451
Mean18314.132
Median Absolute Deviation (MAD)10.5
Skewness2.6794688
Sum695937
Variance1.6015524 × 109
MonotonicityNot monotonic
2024-04-06T19:51:11.844798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4790 4
 
10.0%
4782 4
 
10.0%
4783 3
 
7.5%
4793 3
 
7.5%
4778 2
 
5.0%
4709 2
 
5.0%
4797 1
 
2.5%
4801 1
 
2.5%
4788 1
 
2.5%
4780 1
 
2.5%
Other values (16) 16
40.0%
(Missing) 2
 
5.0%
ValueCountFrequency (%)
4701 1
2.5%
4705 1
2.5%
4707 1
2.5%
4709 2
5.0%
4731 1
2.5%
4732 1
2.5%
4733 1
2.5%
4736 1
2.5%
4769 1
2.5%
4778 2
5.0%
ValueCountFrequency (%)
133839 1
 
2.5%
133766 1
 
2.5%
133120 1
 
2.5%
133050 1
 
2.5%
4808 1
 
2.5%
4801 1
 
2.5%
4799 1
 
2.5%
4797 1
 
2.5%
4794 1
 
2.5%
4793 3
7.5%

사업장명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-04-06T19:51:12.184572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length18
Mean length10.575
Min length4

Characters and Unicode

Total characters423
Distinct characters131
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

Unique40 ?
Unique (%)100.0%

Sample

1st row(주)드림웨스트픽쳐스
2nd row주식회사 풍경소리
3rd row그린라이트미디어(주)
4th row주식회사 빌리앤라이언
5th row비앤컴패니
ValueCountFrequency (%)
주식회사 16
25.4%
주)드림웨스트픽쳐스 1
 
1.6%
씨씨에이(cca 1
 
1.6%
주)프로디지앤코 1
 
1.6%
기가콘텐츠 1
 
1.6%
알엔알(rnr 1
 
1.6%
inc 1
 
1.6%
스튜디오산타클로스엔터테인먼트 1
 
1.6%
주)타임앤드스페이스 1
 
1.6%
라온컴퍼니플러스 1
 
1.6%
Other values (38) 38
60.3%
2024-04-06T19:51:12.854884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 34
 
8.0%
23
 
5.4%
( 21
 
5.0%
) 21
 
5.0%
사 18
 
4.3%
스 17
 
4.0%
회 17
 
4.0%
식 16
 
3.8%
트 10
 
2.4%
리 9
 
2.1%
Other values (121) 237
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
77.1%
Space Separator 23
 
5.4%
Open Punctuation 21
 
5.0%
Close Punctuation 21
 
5.0%
Lowercase Letter 17
 
4.0%
Uppercase Letter 11
 
2.6%
Other Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 34
 
10.4%
사 18
 
5.5%
스 17
 
5.2%
회 17
 
5.2%
식 16
 
4.9%
트 10
 
3.1%
리 9
 
2.8%
엔 8
 
2.5%
이 8
 
2.5%
인 6
 
1.8%
Other values (98) 183
56.1%
Lowercase Letter
ValueCountFrequency (%)
o 3
17.6%
r 2
11.8%
t 2
11.8%
a 2
11.8%
e 2
11.8%
n 2
11.8%
c 1
 
5.9%
z 1
 
5.9%
i 1
 
5.9%
d 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
C 3
27.3%
R 2
18.2%
I 1
 
9.1%
N 1
 
9.1%
A 1
 
9.1%
S 1
 
9.1%
K 1
 
9.1%
L 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
77.1%
Common 69
 
16.3%
Latin 28
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 34
 
10.4%
사 18
 
5.5%
스 17
 
5.2%
회 17
 
5.2%
식 16
 
4.9%
트 10
 
3.1%
리 9
 
2.8%
엔 8
 
2.5%
이 8
 
2.5%
인 6
 
1.8%
Other values (98) 183
56.1%
Latin
ValueCountFrequency (%)
o 3
 
10.7%
C 3
 
10.7%
r 2
 
7.1%
R 2
 
7.1%
t 2
 
7.1%
a 2
 
7.1%
e 2
 
7.1%
n 2
 
7.1%
c 1
 
3.6%
I 1
 
3.6%
Other values (8) 8
28.6%
Common
ValueCountFrequency (%)
23
33.3%
( 21
30.4%
) 21
30.4%
. 3
 
4.3%
, 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
77.1%
ASCII 97
 
22.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 34
 
10.4%
사 18
 
5.5%
스 17
 
5.2%
회 17
 
5.2%
식 16
 
4.9%
트 10
 
3.1%
리 9
 
2.8%
엔 8
 
2.5%
이 8
 
2.5%
인 6
 
1.8%
Other values (98) 183
56.1%
ASCII
ValueCountFrequency (%)
23
23.7%
( 21
21.6%
) 21
21.6%
o 3
 
3.1%
C 3
 
3.1%
. 3
 
3.1%
r 2
 
2.1%
R 2
 
2.1%
t 2
 
2.1%
a 2
 
2.1%
Other values (13) 15
15.5%

최종수정일자
Date

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2011-06-21 09:32:34
Maximum2024-03-06 14:13:38
2024-04-06T19:51:13.078047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:51:13.334227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
I
26 
U
14 

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
65.0%
U 14
35.0%

Length

2024-04-06T19:51:13.589726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:13.788686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 26
65.0%
u 14
35.0%

데이터갱신일자
Date

Distinct26
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
Minimum2018-08-31 23:59:59
Maximum2023-12-03 00:09:00
2024-04-06T19:51:13.960556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T19:51:14.215888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)94.9%
Missing1
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean203804.51
Minimum200782.35
Maximum205684.47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-06T19:51:14.481252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200782.35
5-th percentile201137.21
Q1203055.14
median204339.63
Q3204795.75
95-th percentile205538.97
Maximum205684.47
Range4902.1165
Interquartile range (IQR)1740.608

Descriptive statistics

Standard deviation1391.0202
Coefficient of variation (CV)0.0068252671
Kurtosis-0.22189105
Mean203804.51
Median Absolute Deviation (MAD)661.81104
Skewness-0.90617383
Sum7948376
Variance1934937.3
MonotonicityNot monotonic
2024-04-06T19:51:15.112972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
204339.630102839 2
 
5.0%
205001.441139505 2
 
5.0%
203077.751686799 1
 
2.5%
204321.668356854 1
 
2.5%
203053.771184775 1
 
2.5%
204702.224732035 1
 
2.5%
203684.281166499 1
 
2.5%
204443.726108925 1
 
2.5%
204420.278836478 1
 
2.5%
205638.676388032 1
 
2.5%
Other values (27) 27
67.5%
ValueCountFrequency (%)
200782.353831759 1
2.5%
200951.206580662 1
2.5%
201157.877298502 1
2.5%
201236.441185807 1
2.5%
201286.016742443 1
2.5%
201462.251313062 1
2.5%
202372.912023599 1
2.5%
202774.800142174 1
2.5%
203014.126371125 1
2.5%
203053.771184775 1
2.5%
ValueCountFrequency (%)
205684.470374768 1
2.5%
205638.676388032 1
2.5%
205527.887051222 1
2.5%
205039.907145725 1
2.5%
205014.436191811 1
2.5%
205001.441139505 2
5.0%
204966.098616157 1
2.5%
204847.846010514 1
2.5%
204847.823468732 1
2.5%
204743.677915464 1
2.5%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)94.9%
Missing1
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean449660.45
Minimum448744.04
Maximum451627.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-06T19:51:15.345825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum448744.04
5-th percentile448812.5
Q1449040.45
median449369.79
Q3449716.77
95-th percentile451538.36
Maximum451627.41
Range2883.3754
Interquartile range (IQR)676.32489

Descriptive statistics

Standard deviation902.67031
Coefficient of variation (CV)0.0020074487
Kurtosis0.08763566
Mean449660.45
Median Absolute Deviation (MAD)334.6378
Skewness1.2438285
Sum17536758
Variance814813.68
MonotonicityNot monotonic
2024-04-06T19:51:15.582949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
449469.505136008 2
 
5.0%
448914.166792973 2
 
5.0%
451121.27351231 1
 
2.5%
448817.329182521 1
 
2.5%
451291.257374878 1
 
2.5%
449076.199238284 1
 
2.5%
449280.97521227 1
 
2.5%
449408.881193376 1
 
2.5%
449579.219264753 1
 
2.5%
449369.788095658 1
 
2.5%
Other values (27) 27
67.5%
ValueCountFrequency (%)
448744.038108098 1
2.5%
448769.04984965 1
2.5%
448817.329182521 1
2.5%
448846.820248719 1
2.5%
448914.166792973 2
5.0%
448961.208329966 1
2.5%
449000.920061846 1
2.5%
449035.150293974 1
2.5%
449037.176697228 1
2.5%
449043.715924126 1
2.5%
ValueCountFrequency (%)
451627.413501739 1
2.5%
451553.461590274 1
2.5%
451536.680876573 1
2.5%
451354.099295062 1
2.5%
451291.257374878 1
2.5%
451121.27351231 1
2.5%
451106.855353223 1
2.5%
451002.807624223 1
2.5%
449880.318810179 1
2.5%
449721.434902293 1
2.5%

문화체육업종명
Categorical

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
영화수입업
29 
<NA>
11 

Length

Max length5
Median length5
Mean length4.725
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영화수입업 29
72.5%
<NA> 11
 
27.5%

Length

2024-04-06T19:51:15.834434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:16.064003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화수입업 29
72.5%
na 11
 
27.5%

문화사업자구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

총층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:51:16.285079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:16.474400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

주변환경명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

시설면적
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:51:16.685751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:16.893660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

지상층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:51:17.063504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:17.267465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

지하층수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:51:17.452232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:17.739330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

건물용도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

통로너비
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:51:17.957079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:18.162259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

조명시설조도
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:51:18.341206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:18.513736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

노래방실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:51:18.689108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:18.873465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

청소년실수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:51:19.086432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:19.265729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

비상계단여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

비상구여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

자동환기여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

청소년실여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

특수조명여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

방음시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

비디오재생기명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

조명시설유무
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

음향시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

편의시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

소방시설여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

총게임기수
Categorical

IMBALANCE 

Distinct2
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
<NA>
39 
0
 
1

Length

Max length4
Median length4
Mean length3.925
Min length1

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
97.5%
0 1
 
2.5%

Length

2024-04-06T19:51:19.466570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T19:51:19.647343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
97.5%
0 1
 
2.5%

기존게임업외업종명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

제공게임물명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

공연장형태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

품목명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

최초등록시점
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)100.0%
Missing11
Missing (%)27.5%
Infinite0
Infinite (%)0.0%
Mean20152469
Minimum20080616
Maximum20210127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-04-06T19:51:19.820144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20080616
5-th percentile20095029
Q120131002
median20150907
Q320171106
95-th percentile20206192
Maximum20210127
Range129511
Interquartile range (IQR)40104

Descriptive statistics

Standard deviation33736.347
Coefficient of variation (CV)0.0016740553
Kurtosis-0.37333793
Mean20152469
Median Absolute Deviation (MAD)20188
Skewness-0.2365872
Sum5.844216 × 108
Variance1.1381411 × 109
MonotonicityNot monotonic
2024-04-06T19:51:20.058029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
20110824 1
 
2.5%
20210127 1
 
2.5%
20210107 1
 
2.5%
20191111 1
 
2.5%
20080616 1
 
2.5%
20131002 1
 
2.5%
20171018 1
 
2.5%
20200319 1
 
2.5%
20190925 1
 
2.5%
20181016 1
 
2.5%
Other values (19) 19
47.5%
(Missing) 11
27.5%
ValueCountFrequency (%)
20080616 1
2.5%
20091230 1
2.5%
20100728 1
2.5%
20110824 1
2.5%
20120222 1
2.5%
20120314 1
2.5%
20130719 1
2.5%
20131002 1
2.5%
20131213 1
2.5%
20141021 1
2.5%
ValueCountFrequency (%)
20210127 1
2.5%
20210107 1
2.5%
20200319 1
2.5%
20191111 1
2.5%
20190925 1
2.5%
20181016 1
2.5%
20180619 1
2.5%
20171106 1
2.5%
20171018 1
2.5%
20170816 1
2.5%

지역구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing40
Missing (%)100.0%
Memory size492.0 B

Sample

개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
03030000CDFF521102201000000120091230<NA>3폐업3폐업20110621<NA><NA><NA>070-8650-5240<NA><NA>서울특별시 성동구 도선동 신한넥스텔 ***호<NA><NA>(주)드림웨스트픽쳐스2011-06-21 09:32:34I2018-08-31 23:59:59.0<NA><NA><NA>영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20091230<NA>
13030000CDFF521102201100000120110824<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 16:21:29I2018-08-31 23:59:59.0<NA>203077.751687451121.273512영화수입업<NA><NA><NA><NA><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>
23030000CDFF521102201200000120120314<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 11:27:29I2018-08-31 23:59:59.0<NA>204682.445425449414.713613영화수입업<NA><NA><NA><NA><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>
33030000CDFF521102201300000120120222<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 옥수동 ***번지 옥수극동상가 *층 ***호서울특별시 성동구 독서당로 *** (옥수동, 옥수극동상가 *층 ***호)133766주식회사 빌리앤라이언2013-05-13 16:47:19I2018-08-31 23:59:59.0<NA>200951.206581449000.920062영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20120222<NA>
43030000CDFF521102201300000220130719<NA>3폐업3폐업20180122<NA><NA><NA><NA><NA><NA>서울특별시 성동구 옥수동 ***-**번지 풍림빌딩 ***호서울특별시 성동구 독서당로 *** (옥수동, 풍림빌딩 ***호)133839비앤컴패니2018-01-22 15:44:54I2018-08-31 23:59:59.0<NA>201236.441186449035.150294영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20130719<NA>
53030000CDFF521102201400000220141120<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-***번지서울특별시 성동구 성수일로 **, ***호 (성수동*가, 서울숲 IT 밸리)4790(주)콘텐츠랩자박2016-11-02 15:48:37I2018-08-31 23:59:59.0<NA>204339.630103449469.505136영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20141120<NA>
63030000CDFF521102201500000120150504<NA>3폐업3폐업20220117<NA><NA><NA><NA><NA><NA>서울특별시 성동구 옥수동 ***서울특별시 성동구 매봉길 **, ***동 ***호 (옥수동, 옥수파크힐스)4731주식회사 상상봉2022-01-17 09:56:15U2022-01-19 02:40:00.0<NA>201157.877299449563.280013영화수입업<NA>0<NA><NA>000<NA>0000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>20150504<NA>
73030000CDFF521102201500000220150717<NA>3폐업3폐업20151218<NA><NA><NA>070-7560-8285<NA><NA>서울특별시 성동구 마장동 ***번지서울특별시 성동구 고산자로 ***, ***호 (마장동, 동방빌딩)133050(주)신우트레이드2015-12-18 16:25:56I2018-08-31 23:59:59.0<NA>203209.457162451553.46159영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150717<NA>
83030000CDFF521102201500000320150907<NA>3폐업3폐업20161013<NA><NA><NA>04-461-2907<NA><NA>서울특별시 성동구 성수동*가 **-**번지서울특별시 성동구 상원**길 ** (성수동*가)4791귀도비니2016-10-13 17:17:15I2018-08-31 23:59:59.0<NA>204278.277003449712.107493영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20150907<NA>
93030000CDFF521102201500000520141021<NA>3폐업3폐업20181016<NA><NA><NA>02-5692014<NA><NA>서울특별시 성동구 용답동 ***-*번지서울특별시 성동구 천호대로 ***, ****호 (용답동, 신창비바패밀리)4808영화사단비(주)2018-10-16 09:44:42U2018-10-18 02:35:41.0<NA>205527.887051451002.807624영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20141021<NA>
개방자치단체코드관리번호인허가일자인허가취소일자영업상태코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자전화번호소재지면적소재지우편번호지번주소도로명주소도로명우편번호사업장명최종수정일자데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명총층수주변환경명제작취급품목내용시설면적지상층수지하층수건물용도명통로너비조명시설조도노래방실수청소년실수비상계단여부비상구여부자동환기여부청소년실여부특수조명여부방음시설여부비디오재생기명조명시설유무음향시설여부편의시설여부소방시설여부총게임기수기존게임업외업종명제공게임물명공연장형태구분명품목명최초등록시점지역구분명
303030000CDFF521102202100000320210127<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 **-** Biz Well 성수서울특별시 성동구 뚝섬로*길 **, Biz Well 성수 ***호 (성수동*가)4780제인앤유2021-02-01 15:08:58U2021-02-03 02:40:00.0<NA>204321.668357448817.329183영화수입업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20210127<NA>
313030000CDFF52110220210000042021-07-20<NA>3폐업3폐업9999-12-31<NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 효정빌딩서울특별시 성동구 아차산로*길 **-*, 효정빌딩 ***호 (성수동*가)4793(주)포핸즈스토리2023-12-26 17:42:00U2022-11-01 22:08:00.0<NA>204743.677915449357.946414<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
323030000CDFF52110220220000012022-09-27<NA>5제외/삭제/전출15전출2023-04-06<NA><NA><NA>070-7500-8671<NA><NA>서울특별시 성동구 성수동*가 ***-***서울특별시 성동구 상원길 **, *층 (성수동*가)4788(주)갤리온엔터테인먼트2023-04-06 11:30:28U2022-12-04 00:08:00.0<NA>204108.235776449880.31881<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
333030000CDFF521102202200000220160126<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6320-8500<NA><NA>서울특별시 성동구 성수동2가 273-50 CORNER50서울특별시 성동구 연무장11길 8, CORNER50 (성수동2가)4783주식회사 키다리스튜디오2022-12-14 15:22:13U2021-11-01 23:06:00.0<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>
343030000CDFF521102202200000320171013<NA>1영업/정상13영업중<NA><NA><NA><NA>02-6320-8500<NA><NA>서울특별시 성동구 성수동2가 273-50 CORNER50서울특별시 성동구 연무장11길 8, CORNER50 (성수동2가)4783주식회사 레진엔터테인먼트2022-12-16 14:47:05I2021-11-01 23:08:00.0<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>
353030000CDFF52110220230000012007-01-09<NA>1영업/정상13영업중<NA><NA><NA><NA>02-3017-3486<NA><NA>서울특별시 성동구 성수동*가 ***-*** 메가박스 스퀘어서울특별시 성동구 왕십리로 **, 메가박스 스퀘어 *층 (성수동*가)4778메가박스중앙(주)2024-02-02 17:34:30U2023-12-02 00:04:00.0<NA>203903.353553448846.820249<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
363030000CDFF52110220230000022023-06-20<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 도선동 **서울특별시 성동구 무학로*길 **, A-***층 (도선동)4709주식회사 피어니스튜디오2023-06-20 09:16:03I2022-12-05 22:02:00.0<NA>203014.126371451106.855353<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
373030000CDFF52110220230000032023-08-10<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)4778주식회사 메가히트픽쳐스2023-08-10 15:25:38I2022-12-07 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>
383030000CDFF52110220230000042018-08-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 송정동 **-***서울특별시 성동구 송정*길 *, *층 (송정동)4801주식회사 트리플픽쳐스2023-09-19 13:23:12I2022-12-08 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>
393030000CDFF52110220240000012021-12-07<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>서울특별시 성동구 성수동*가 ***-** 우리큐브서울특별시 성동구 연무장**길 **, 우리큐브 *층 ***호 (성수동*가)4783주식회사 스토리엔진2024-03-06 14:13:38I2023-12-03 00:09:00.0<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>